ParaView/Users Guide/List of filters: Difference between revisions

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==AMR Connectivity==
Fragment Identification
{| class="PropertiesTable" border="1" cellpadding="5"
|-
| '''Property'''
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''
|-
|'''Input''' (Input)
|
This property specifies the volume input of the
filter.
|
|
Accepts input of following types:
* vtkNonOverlappingAMR
The dataset must contain a field array (cell)
with 1 component(s).
|-
|'''SelectMaterialArrays''' (SelectMaterialArrays)
|
This property specifies the cell arrays from which the
analysis will determine fragments
|
|
An array of scalars is required.
|-
|'''Volume Fraction Value''' (VolumeFractionSurfaceValue)
|
This property specifies the values at which to compute
the isosurface.
|
0.1
|
|-
|'''Resolve Blocks''' (Resolve Blocks)
|
Resolve the fragments between blocks.
|
1
|
Accepts boolean values (0 or 1).
|-
|'''Propagate Ghosts''' (Propagate Ghosts)
|
Propagate regionIds into the ghosts.
|
0
|
Accepts boolean values (0 or 1).
|}


==AMR Contour==
==AMR Contour==
Line 21: Line 83:
Accepts input of following types:
Accepts input of following types:
* vtkCompositeDataSet
* vtkCompositeDataSet
The dataset much contain a field array (cell)
The dataset must contain a field array (cell)


with 1 component(s).
with 1 component(s).
Line 180: Line 242:
Accepts input of following types:
Accepts input of following types:
* vtkCompositeDataSet
* vtkCompositeDataSet
The dataset much contain a field array (cell)
The dataset must contain a field array (cell)


with 1 component(s).
with 1 component(s).
Line 232: Line 294:
|}
|}


==All to N==
==AMR Fragment Integration==


Redistribute data to a subset of available processes.The All to N filter
Fragment Integration
is available when ParaView is run in parallel. It
redistributes the data so that it is located on the number
of processes specified in the Number of Processes entry
box. It also does load-balancing of the data among these
processes. This filter operates on polygonal data and
produces polygonal output.


{| class="PropertiesTable" border="1" cellpadding="5"
{| class="PropertiesTable" border="1" cellpadding="5"
Line 252: Line 308:
|'''Input''' (Input)
|'''Input''' (Input)
|
|
Set the input to the All to N filter.
This property specifies the volume input of the
filter.
|
|


|
|
Accepts input of following types:
Accepts input of following types:
* vtkPolyData
* vtkNonOverlappingAMR
The dataset must contain a field array (cell)
 
with 1 component(s).
 
|-
|-
|'''Number of Processes''' (NumberOfProcesses)
|'''SelectMaterialArrays''' (SelectMaterialArrays)
|
|
Set the number of processes across which to split the
This property specifies the cell arrays from which the
input data.
analysis will determine fragments
|
|
1
 
|
|
 
An array of scalars is required.
 
|}
 
==Annotate Global Data==
 
 
 
{| class="PropertiesTable" border="1" cellpadding="5"
|-
|-
| '''Property'''
|'''SelectMassArrays''' (SelectMassArrays)
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''
 
|-
|'''Input''' (Input)
|
|
Set the input of the filter.
This property specifies the cell arrays from which the
analysis will determine fragment mass
|
|


|
|
Accepts input of following types:
An array of scalars is required.
* vtkDataSet
The dataset much contain a field array (none)
 
with 1 component(s).
 
|-
|-
|'''SelectArrays''' (SelectArrays)
|'''SelectVolumeWeightedArrays''' (SelectVolumeWeightedArrays)
|
|
Choose arrays that is going to be
This property specifies the cell arrays from which the
displayed
analysis will determine volume weighted average values
|
|


|
|
 
An array of scalars is required.
|-
|-
|'''Prefix''' (Prefix)
|'''SelectMassWeightedArrays''' (SelectMassWeightedArrays)
|
|
Text that is used as a prefix to the field
This property specifies the cell arrays from which the
value
analysis will determine mass weighted average values
|
|
Value is:
 
|
|
 
An array of scalars is required.


|}
|}


==Annotate Time Filter==
==AMR Fragments Filter==


Shows input data time as text annnotation in the view.The Annotate Time
Meta Fragment filterCombines the running of
filter can be used to show the data time in a text
AMRContour, AMRFragmentIntegration, AMRDualContour and ExtractCTHParts
annotation.


{| class="PropertiesTable" border="1" cellpadding="5"
{| class="PropertiesTable" border="1" cellpadding="5"
Line 331: Line 373:
|'''Input''' (Input)
|'''Input''' (Input)
|
|
This property specifies the input dataset for which to
This property specifies the volume input of the
display the time.
filter.
|
|


|
|
Accepts input of following types:
* vtkNonOverlappingAMR
The dataset must contain a field array (cell)
with 1 component(s).


|-
|-
|'''Format''' (Format)
|'''SelectMaterialArrays''' (SelectMaterialArrays)
|
|
The value of this property is a format string used to
This property specifies the cell arrays from which the
display the input time. The format string is specified using printf
analysis will determine fragments
style.
|
|
Time: %f
 
|
|
 
An array of scalars is required.
|-
|-
|'''Shift''' (Shift)
|'''SelectMassArrays''' (SelectMassArrays)
|
|
The amount of time the input is shifted (after
This property specifies the cell arrays from which the
scaling).
analysis will determine fragment mass
|
|
0.0
 
|
|
 
An array of scalars is required.
|-
|-
|'''Scale''' (Scale)
|'''SelectVolumeWeightedArrays''' (SelectVolumeWeightedArrays)
|
This property specifies the cell arrays from which the
analysis will determine volume weighted average values
|
 
|
An array of scalars is required.
|-
|'''SelectMassWeightedArrays''' (SelectMassWeightedArrays)
|
This property specifies the cell arrays from which the
analysis will determine mass weighted average values
|
 
|
An array of scalars is required.
|-
|'''Volume Fraction Value''' (VolumeFractionSurfaceValue)
|
|
The factor by which the input time is
This property specifies the values at which to compute
scaled.
the isosurface.
|
|
1.0
0.1
|
|


|-
|'''Extract Surface''' (Extract Surface)
|
Whether or not to extract a surface from this data
|
0
|
Accepts boolean values (0 or 1).
|-
|'''Use Watertight Surface''' (Use Watertight Surface)
|
Whether the extracted surface should be watertight or not
|
0
|
Accepts boolean values (0 or 1).
|-
|'''Integrate Fragments''' (Integrate Fragments)
|
Whether or not to integrate fragments in this data
|
1
|
Accepts boolean values (0 or 1).


|}
|}


==Append Attributes==
==Add Field Arrays==
 
Reads arrays from a file and adds them to the input data object.
Takes in an input data object and a filename. Opens the file
and adds any arrays it sees there to the input data.


Copies geometry from first input. Puts all of the arrays into the output.
The Append Attributes filter takes multiple input data
sets with the same geometry and merges their point and
cell attributes to produce a single output containing all
the point and cell attributes of the inputs. Any inputs
without the same number of points and cells as the first
input are ignored. The input data sets must already be
collected together, either as a result of a reader that
loads multiple parts (e.g., EnSight reader) or because the
Group Parts filter has been run to form a collection of
data sets.


{| class="PropertiesTable" border="1" cellpadding="5"
{| class="PropertiesTable" border="1" cellpadding="5"
Line 392: Line 473:
|'''Input''' (Input)
|'''Input''' (Input)
|
|
This property specifies the input to the Append
The input.
Attributes filter.
|
 
|
|


|-
|'''FileName''' (FileName)
|
|
Accepts input of following types:
* vtkDataSet


|}
This property specifies the file to read to get arrays


==Append Datasets==
|


Takes an input of multiple datasets and output has only one unstructured grid.The Append
|
Datasets filter operates on multiple data sets of any type
The value(s) must be a filename (or filenames).
(polygonal, structured, etc.). It merges their geometry
 
into a single data set. Only the point and cell attributes
|}
that all of the input data sets have in common will appear
 
in the output. The input data sets must already be
==Angular Periodic Filter==
collected together, either as a result of a reader that
 
loads multiple parts (e.g., EnSight reader) or because the
This filter generate a periodic multiblock dataset.This filter generate a periodic
Group Parts filter has been run to form a collection of
multiblock dataset
data sets.


{| class="PropertiesTable" border="1" cellpadding="5"
{| class="PropertiesTable" border="1" cellpadding="5"
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|'''Input''' (Input)
|'''Input''' (Input)
|
|
This property specifies the datasets to be merged into a
This property specifies the input to the Periodic filter.
single dataset by the Append Datasets filter.
 
|
|


Line 432: Line 513:
Accepts input of following types:
Accepts input of following types:
* vtkDataSet
* vtkDataSet
|-
|'''BlockIndices''' (BlockIndices)
|
This property lists the ids of the blocks to make periodic
from the input multiblock dataset.
|


|}
|


==Append Geometry==
Takes an input of multiple poly data parts and output has only one part.The Append
Geometry filter operates on multiple polygonal data sets.
It merges their geometry into a single data set. Only the
point and cell attributes that all of the input data sets
have in common will appear in the output.
{| class="PropertiesTable" border="1" cellpadding="5"
|-
|-
| '''Property'''
|'''IterationMode''' (IterationMode)
| '''Description'''
|
| '''Default Value(s)'''
This property specifies the mode of iteration, either a user-provided number
| '''Restrictions'''
of periods, or the maximum number of periods to rotate to 360°.
|
1
|
The value(s) is an enumeration of the following:
* Manual (0)
* Maximum (1)
|-
|'''NumberOfPeriods''' (NumberOfPeriods)
|
This property specifies the number of iteration
|
3
|


|-
|-
|'''Input''' (Input)
|'''RotationMode''' (RotationMode)
|
This property specifies the mode of rotation, either from a user provided
angle or from an array in the data.
|
0
|
|
Set the input to the Append Geometry
The value(s) is an enumeration of the following:
filter.
* Direct Angle (0)
* Array Value (1)
|-
|'''RotationAngle''' (RotationAngle)
|
|
Rotation angle in degree.


|
|
Accepts input of following types:
10
* vtkPolyData
|


|}
|-
|'''RotationArrayName''' (RotationArrayName)
|
Field array name that contains the rotation angle in radian.


==Balance==
|
 
periodic angle
Balance data among available processes.The Balance filter is
|
available when ParaView is run in parallel. It does
load-balancing so that all processes have the same number
of cells. It operates on polygonal data sets and produces
polygonal output.


{| class="PropertiesTable" border="1" cellpadding="5"
|-
|-
| '''Property'''
|'''Axis''' (Axis)
| '''Description'''
|
| '''Default Value(s)'''
This property specifies the axis of rotation
| '''Restrictions'''
|
 
0
|
The value(s) is an enumeration of the following:
* Axis X (0)
* Axis Y (1)
* Axis Z (2)
|-
|-
|'''Input''' (Input)
|'''Center''' (Center)
|
This property specifies the 3D coordinates for the
center of the rotation.
|
|
Set the input to the Balance filter.
0.0 0.0 0.0
|
|


|
Accepts input of following types:
* vtkPolyData


|}
|}


==Block Scalars==
==Annotate Attribute Data==
 
Adds a text annotation to a Rander View
This filter can be used to add a text annotation to a Render View (or
similar) using a tuple from any attribute array (point/cell/field/row
etc.) from a specific rank (when running in parallel). Use **ArrayName**
property to select the array association and array name. Use
**ElementId* property to set the element number to extract the value to
label with. When running on multiple ranks, use **ProcessId** property
to select the rank of interest. The **Prefix** property can be used to
specify a string that will be used as the prefix to the generated
annotation text.


The Level Scalars filter uses colors to show levels of a multiblock dataset.The Level
Scalars filter uses colors to show levels of a multiblock
dataset.


{| class="PropertiesTable" border="1" cellpadding="5"
{| class="PropertiesTable" border="1" cellpadding="5"
Line 506: Line 617:
|'''Input''' (Input)
|'''Input''' (Input)
|
|
This property specifies the input to the Level Scalars
 
filter.
Set the input of the filter. To avoid the complications/confusion when identifying
elements in a composite dataset, this filter doesn't support composite datasets
currently.
 
|
|


|
|
Accepts input of following types:
Accepts input of following types:
* vtkMultiBlockDataSet
* vtkDataSet
* vtkTable
The dataset must contain a field array (any)


|}
with 1 component(s).


==CTH Surface==
|-
|'''ArrayAssociation''' (ArrayAssociation)
|
Select the attribute to use to popular array names from.
|
2
|
The value(s) is an enumeration of the following:
* Point Data (0)
* Cell Data (1)
* Field Data (2)
* Row Data (6)
|-
|'''ArrayName''' (ArrayName)
|
Choose arrays that is going to be displayed
|


Not finished yet.
|


{| class="PropertiesTable" border="1" cellpadding="5"
|-
|-
| '''Property'''
|'''ElementId''' (ElementId)
| '''Description'''
|
| '''Default Value(s)'''
 
| '''Restrictions'''
Set the element index to annotate with.


|-
|'''Input''' (Input)
|
|
This property specifies the input of the
0
filter.
|
|


|-
|'''ProcessId''' (ProcessId)
|
|
Accepts input of following types:
* vtkCompositeDataSet


|}
Set the process rank to extract element from.


==CacheKeeper==
|
0
|
 
|-
|'''Prefix''' (Prefix)
|
Text that is used as a prefix to the field value
|
Value is:
|
 
 
|}
 
==Annotate Global Data==
 
Filter for annotating with global data (designed for ExodusII reader)
Annotate Global Data provides a simpler API for creating text
annotations using vtkPythonAnnotationFilter. Instead of users
specifying the annotation expression, this filter determines the
expression based on the array selected by limiting the scope of the
functionality. This filter only allows the user to annotate using
"global-data" aka field data and specify the string prefix to use. If
the field array chosen has as many elements as number of timesteps,
the array is assumed to be "temporal" and indexed using the current
timestep.


vtkPVCacheKeeper manages data cache for flip book
animations. When caching is disabled, this simply acts as a pass through
filter. When caching is enabled, is the current time step has been
previously cached then this filter shuts the update request, otherwise
propagates the update and then cache the result for later use. The
current time step is set using SetCacheTime().


{| class="PropertiesTable" border="1" cellpadding="5"
{| class="PropertiesTable" border="1" cellpadding="5"
Line 559: Line 707:
|'''Input''' (Input)
|'''Input''' (Input)
|
|
Set the input to the Update Suppressor
Set the input of the filter.
filter.
|
|


|
|
Accepts input of following types:
* vtkDataSet
The dataset must contain a field array (none)
with 1 component(s).


|-
|-
|'''CacheTime''' (CacheTime)
|'''SelectArrays''' (SelectArrays)
|
Choose arrays that is going to be
displayed
|
 
|
|


|-
|'''Prefix''' (Prefix)
|
|
0.0
Text that is used as a prefix to the field
value
|
Value is:
|
|


|-
|-
|'''CachingEnabled''' (CachingEnabled)
|'''Suffix''' (Suffix)
|
|
Toggle whether the caching is enabled.
Text that is used as a suffix to the field
value
|
|
1
 
|
|
Accepts boolean values (0 or 1).
 


|}
|}


==Calculator==
==Annotate Time Filter==


Compute new attribute arrays as function of existing arrays.The Calculator
Shows input data time as text annnotation in the view.The Annotate Time
filter computes a new data array or new point coordinates
filter can be used to show the data time in a text
as a function of existing scalar or vector arrays. If
annotation.
point-centered arrays are used in the computation of a new
data array, the resulting array will also be
point-centered. Similarly, computations using
cell-centered arrays will produce a new cell-centered
array. If the function is computing point coordinates, the
result of the function must be a three-component vector.
The Calculator interface operates similarly to a
scientific calculator. In creating the function to
evaluate, the standard order of operations applies. Each
of the calculator functions is described below. Unless
otherwise noted, enclose the operand in parentheses using
the ( and ) buttons. Clear: Erase the current function
(displayed in the read-only text box above the calculator
buttons). /: Divide one scalar by another. The operands
for this function are not required to be enclosed in
parentheses. *: Multiply two scalars, or multiply a vector
by a scalar (scalar multiple). The operands for this
function are not required to be enclosed in parentheses.
-: Negate a scalar or vector (unary minus), or subtract
one scalar or vector from another. The operands for this
function are not required to be enclosed in parentheses.
+: Add two scalars or two vectors. The operands for this
function are not required to be enclosed in parentheses.
sin: Compute the sine of a scalar. cos: Compute the cosine
of a scalar. tan: Compute the tangent of a scalar. asin:
Compute the arcsine of a scalar. acos: Compute the
arccosine of a scalar. atan: Compute the arctangent of a
scalar. sinh: Compute the hyperbolic sine of a scalar.
cosh: Compute the hyperbolic cosine of a scalar. tanh:
Compute the hyperbolic tangent of a scalar. min: Compute
minimum of two scalars. max: Compute maximum of two
scalars. x^y: Raise one scalar to the power of another
scalar. The operands for this function are not required to
be enclosed in parentheses. sqrt: Compute the square root
of a scalar. e^x: Raise e to the power of a scalar. log:
Compute the logarithm of a scalar (deprecated. same as
log10). log10: Compute the logarithm of a scalar to the
base 10. ln: Compute the logarithm of a scalar to the base
'e'. ceil: Compute the ceiling of a scalar. floor: Compute
the floor of a scalar. abs: Compute the absolute value of
a scalar. v1.v2: Compute the dot product of two vectors.
The operands for this function are not required to be
enclosed in parentheses. cross: Compute cross product of
two vectors. mag: Compute the magnitude of a vector. norm:
Normalize a vector. The operands are described below. The
digits 0 - 9 and the decimal point are used to enter
constant scalar values. iHat, jHat, and kHat are vector
constants representing unit vectors in the X, Y, and Z
directions, respectively. The scalars menu lists the names
of the scalar arrays and the components of the vector
arrays of either the point-centered or cell-centered data.
The vectors menu lists the names of the point-centered or
cell-centered vector arrays. The function will be computed
for each point (or cell) using the scalar or vector value
of the array at that point (or cell). The filter operates
on any type of data set, but the input data set must have
at least one scalar or vector array. The arrays can be
either point-centered or cell-centered. The Calculator
filter's output is of the same data set type as the
input.


{| class="PropertiesTable" border="1" cellpadding="5"
{| class="PropertiesTable" border="1" cellpadding="5"
Line 660: Line 763:
|'''Input''' (Input)
|'''Input''' (Input)
|
|
This property specifies the input dataset to the
This property specifies the input dataset for which to
Calculator filter. The scalar and vector variables may be chosen from
display the time.
this dataset's arrays.
|
|


|
|
Accepts input of following types:
* vtkDataSet
The dataset much contain a field array ()


|-
|-
|'''AttributeMode''' (AttributeMode)
|'''Format''' (Format)
|
|
This property determines whether the computation is to
The value of this property is a format string used to
be performed on point-centered or cell-centered data.
display the input time. The format string is specified using printf
style.
|
|
1
Time: %f
|
The value(s) is an enumeration of the following:
* Point Data (1)
* Cell Data (2)
|-
|'''CoordinateResults''' (CoordinateResults)
|
The value of this property determines whether the
results of this computation should be used as point coordinates or as a
new array.
|
0
|
Accepts boolean values (0 or 1).
|-
|'''ResultArrayName''' (ResultArrayName)
|
This property contains the name for the output array
containing the result of this computation.
|
Result
|
|


|-
|-
|'''Function''' (Function)
|'''Shift''' (Shift)
|
|
This property contains the equation for computing the
The amount of time the input is shifted (after
new array.
scaling).
|
|
 
0.0
|
|


|-
|-
|'''Replace Invalid Results''' (ReplaceInvalidValues)
|'''Scale''' (Scale)
|
|
This property determines whether invalid values in the
The factor by which the input time is
computation will be replaced with a specific value. (See the
scaled.
ReplacementValue property.)
|
|
1
1.0
|
Accepts boolean values (0 or 1).
|-
|'''ReplacementValue''' (ReplacementValue)
|
If invalid values in the computation are to be replaced
with another value, this property contains that value.
|
0.0
|
|


Line 731: Line 800:
|}
|}


==Cell Centers==
==Append Attributes==


Create a point (no geometry) at the center of each input cell.The Cell Centers
Copies geometry from first input. Puts all of the arrays into the output.
filter places a point at the center of each cell in the
The Append Attributes filter takes multiple input data
input data set. The center computed is the parametric
sets with the same geometry and merges their point and
center of the cell, not necessarily the geometric or
cell attributes to produce a single output containing all
bounding box center. The cell attributes of the input will
the point and cell attributes of the inputs. Any inputs
be associated with these newly created points of the
without the same number of points and cells as the first
output. You have the option of creating a vertex cell per
input are ignored. The input data sets must already be
point in the outpuut. This is useful because vertex cells
collected together, either as a result of a reader that
are rendered, but points are not. The points themselves
loads multiple parts (e.g., EnSight reader) or because the
could be used for placing glyphs (using the Glyph filter).
Group Parts filter has been run to form a collection of
The Cell Centers filter takes any type of data set as
data sets.
input and produces a polygonal data set as
output.


{| class="PropertiesTable" border="1" cellpadding="5"
{| class="PropertiesTable" border="1" cellpadding="5"
Line 757: Line 824:
|'''Input''' (Input)
|'''Input''' (Input)
|
|
This property specifies the input to the Cell Centers
This property specifies the input to the Append
filter.
Attributes filter.
|
|


Line 764: Line 831:
Accepts input of following types:
Accepts input of following types:
* vtkDataSet
* vtkDataSet
|-
|'''VertexCells''' (VertexCells)
|
If set to 1, a vertex cell will be generated per point
in the output. Otherwise only points will be generated.
|
0
|
Accepts boolean values (0 or 1).


|}
|}


==Cell Data to Point Data==
==Append Datasets==


Create point attributes by averaging cell attributes.The Cell
Takes an input of multiple datasets and output has only one unstructured grid.The Append
Data to Point Data filter averages the values of the cell
Datasets filter operates on multiple data sets of any type
attributes of the cells surrounding a point to compute
(polygonal, structured, etc.). It merges their geometry
point attributes. The Cell Data to Point Data filter
into a single data set. Only the point and cell attributes
operates on any type of data set, and the output data set
that all of the input data sets have in common will appear
is of the same type as the input.
in the output. The input data sets must already be
collected together, either as a result of a reader that
loads multiple parts (e.g., EnSight reader) or because the
Group Parts filter has been run to form a collection of
data sets.


{| class="PropertiesTable" border="1" cellpadding="5"
{| class="PropertiesTable" border="1" cellpadding="5"
Line 795: Line 857:
|'''Input''' (Input)
|'''Input''' (Input)
|
|
This property specifies the input to the Cell Data to
This property specifies the datasets to be merged into a
Point Data filter.
single dataset by the Append Datasets filter.
|
|


Line 802: Line 864:
Accepts input of following types:
Accepts input of following types:
* vtkDataSet
* vtkDataSet
The dataset much contain a field array (cell)


|}
==Append Geometry==
Takes an input of multiple poly data parts and output has only one part.The Append
Geometry filter operates on multiple polygonal data sets.
It merges their geometry into a single data set. Only the
point and cell attributes that all of the input data sets
have in common will appear in the output.
{| class="PropertiesTable" border="1" cellpadding="5"
|-
|-
|'''PassCellData''' (PassCellData)
| '''Property'''
|
| '''Description'''
If this property is set to 1, then the input cell data
| '''Default Value(s)'''
is passed through to the output; otherwise, only the generated point
| '''Restrictions'''
data will be available in the output.
 
|
0
|
Accepts boolean values (0 or 1).
|-
|-
|'''PieceInvariant''' (PieceInvariant)
|'''Input''' (Input)
|
|
If the value of this property is set to 1, this filter
Set the input to the Append Geometry
will request ghost levels so that the values at boundary points match
filter.
across processes. NOTE: Enabling this option might cause multiple
executions of the data source because more information is needed to
remove internal surfaces.
|
|
0
 
|
|
Accepts boolean values (0 or 1).
Accepts input of following types:
* vtkPolyData


|}
|}


==Clean==
==Block Scalars==


Merge coincident points if they do not meet a feature edge criteria.The Clean filter
The Level Scalars filter uses colors to show levels of a multiblock dataset.The Level
takes polygonal data as input and generates polygonal data
Scalars filter uses colors to show levels of a multiblock
as output. This filter can merge duplicate points, remove
dataset.
unused points, and transform degenerate cells into their
appropriate forms (e.g., a triangle is converted into a
line if two of its points are merged).


{| class="PropertiesTable" border="1" cellpadding="5"
{| class="PropertiesTable" border="1" cellpadding="5"
Line 848: Line 911:
|'''Input''' (Input)
|'''Input''' (Input)
|
|
Set the input to the Clean filter.
This property specifies the input to the Level Scalars
filter.
|
|


|
|
Accepts input of following types:
Accepts input of following types:
* vtkPolyData
* vtkMultiBlockDataSet
 
|}
 
==CTH Surface==
 
Not finished yet.
 
{| class="PropertiesTable" border="1" cellpadding="5"
|-
| '''Property'''
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''
 
|-
|-
|'''PieceInvariant''' (PieceInvariant)
|'''Input''' (Input)
|
|
If this property is set to 1, the whole data set will be
This property specifies the input of the
processed at once so that cleaning the data set always produces the
filter.
same results. If it is set to 0, the data set can be processed one
piece at a time, so it is not necessary for the entire data set to fit
into memory; however the results are not guaranteed to be the same as
they would be if the Piece invariant option was on. Setting this option
to 0 may produce seams in the output dataset when ParaView is run in
parallel.
|
|
1
 
|
|
Accepts boolean values (0 or 1).
Accepts input of following types:
* vtkCompositeDataSet
 
|}
 
==CacheKeeper==
 
vtkPVCacheKeeper manages data cache for flip book
animations. When caching is disabled, this simply acts as a pass through
filter. When caching is enabled, is the current time step has been
previously cached then this filter shuts the update request, otherwise
propagates the update and then cache the result for later use. The
current time step is set using SetCacheTime().
 
{| class="PropertiesTable" border="1" cellpadding="5"
|-
|-
|'''Tolerance''' (Tolerance)
| '''Property'''
|
| '''Description'''
If merging nearby points (see PointMerging property) and
| '''Default Value(s)'''
not using absolute tolerance (see ToleranceIsAbsolute property), this
| '''Restrictions'''
property specifies the tolerance for performing merging as a fraction
of the length of the diagonal of the bounding box of the input data
set.
|
0.0
|


|-
|-
|'''AbsoluteTolerance''' (AbsoluteTolerance)
|'''Input''' (Input)
|
|
If merging nearby points (see PointMerging property) and
Set the input to the Update Suppressor
using absolute tolerance (see ToleranceIsAbsolute property), this
filter.
property specifies the tolerance for performing merging in the spatial
units of the input data set.
|
|
1.0
 
|
|


|-
|-
|'''ToleranceIsAbsolute''' (ToleranceIsAbsolute)
|'''CacheTime''' (CacheTime)
|
|
This property determines whether to use absolute or
 
relative (a percentage of the bounding box) tolerance when performing
point merging.
|
|
0
0.0
|
|
Accepts boolean values (0 or 1).
 
|-
|-
|'''ConvertLinesToPoints''' (ConvertLinesToPoints)
|'''CachingEnabled''' (CachingEnabled)
|
|
If this property is set to 1, degenerate lines (a "line"
Toggle whether the caching is enabled.
whose endpoints are at the same spatial location) will be converted to
points.
|
1
|
Accepts boolean values (0 or 1).
|-
|'''ConvertPolysToLines''' (ConvertPolysToLines)
|
If this property is set to 1, degenerate polygons (a
"polygon" with only two distinct point coordinates) will be converted
to lines.
|
1
|
Accepts boolean values (0 or 1).
|-
|'''ConvertStripsToPolys''' (ConvertStripsToPolys)
|
If this property is set to 1, degenerate triangle strips
(a triangle "strip" containing only one triangle) will be converted to
triangles.
|
1
|
Accepts boolean values (0 or 1).
|-
|'''PointMerging''' (PointMerging)
|
If this property is set to 1, then points will be merged
if they are within the specified Tolerance or AbsoluteTolerance (see
the Tolerance and AbsoluteTolerance propertys), depending on the value
of the ToleranceIsAbsolute property. (See the ToleranceIsAbsolute
property.) If this property is set to 0, points will not be
merged.
|
|
1
1
Line 946: Line 987:
Accepts boolean values (0 or 1).
Accepts boolean values (0 or 1).


|}
|}
 
==Calculator==
 
Compute new attribute arrays as function of existing arrays.
The Calculator filter computes a new data array or new point
coordinates as a function of existing scalar or vector arrays. If
point-centered arrays are used in the computation of a new data array,
the resulting array will also be point-centered. Similarly,
computations using cell-centered arrays will produce a new
cell-centered array. If the function is computing point coordinates,
the result of the function must be a three-component vector.
 
The Calculator interface operates similarly to a scientific
calculator. In creating the function to evaluate, the standard order
of operations applies. Each of the calculator functions is described
below. Unless otherwise noted, enclose the operand in parentheses
using the ( and ) buttons.


==Clean Cells to Grid==
- Clear: Erase the current function (displayed in the read-only text
box above the calculator buttons).
- /: Divide one scalar by another. The operands for this function are
not required to be enclosed in parentheses.
- *: Multiply two scalars, or multiply a vector by a scalar (scalar multiple).
The operands for this function are not required to be enclosed in parentheses.
- -: Negate a scalar or vector (unary minus), or subtract one scalar or vector
from another. The operands for this function are not required to be enclosed
in parentheses.
- +: Add two scalars or two vectors. The operands for this function are not
required to be enclosed in parentheses.
- sin: Compute the sine of a scalar. cos: Compute the cosine of a scalar.
- tan: Compute the tangent of a scalar.
- asin: Compute the arcsine of a scalar.
- acos: Compute the arccosine of a scalar.
- atan: Compute the arctangent of a scalar.
- sinh: Compute the hyperbolic sine of a scalar.
- cosh: Compute the hyperbolic cosine of a scalar.
- tanh: Compute the hyperbolic tangent of a scalar.
- min: Compute minimum of two scalars.
- max: Compute maximum of two scalars.
- x^y: Raise one scalar to the power of another scalar. The operands for
this function are not required to be enclosed in parentheses.
- sqrt: Compute the square root of a scalar.
- e^x: Raise e to the power of a scalar.
- log: Compute the logarithm of a scalar (deprecated. same as log10).
- log10: Compute the logarithm of a scalar to the base 10.
- ln: Compute the logarithm of a scalar to the base 'e'.
- ceil: Compute the ceiling of a scalar. floor: Compute the floor of a scalar.
- abs: Compute the absolute value of a scalar.
- v1.v2: Compute the dot product of two vectors. The operands for this
function are not required to be enclosed in parentheses.
- cross: Compute cross product of two vectors.
- mag: Compute the magnitude of a vector.
- norm: Normalize a vector.


This filter merges cells and converts the data set to unstructured grid.Merges degenerate cells. Assumes
The operands are described below. The digits 0 - 9 and the decimal
the input grid does not contain duplicate points. You may
point are used to enter constant scalar values. **iHat**, **jHat**,
want to run vtkCleanUnstructuredGrid first to assert it.
and **kHat** are vector constants representing unit vectors in the X,
If duplicated cells are found they are removed in the
Y, and Z directions, respectively. The scalars menu lists the names of
output. The filter also handles the case, where a cell may
the scalar arrays and the components of the vector arrays of either
contain degenerate nodes (i.e. one and the same node is
the point-centered or cell-centered data. The vectors menu lists the
referenced by a cell more than once).
names of the point-centered or cell-centered vector arrays. The
function will be computed for each point (or cell) using the scalar or
vector value of the array at that point (or cell). The filter operates
on any type of data set, but the input data set must have at least one
scalar or vector array. The arrays can be either point-centered or
cell-centered. The Calculator filter's output is of the same data set
type as the input.


{| class="PropertiesTable" border="1" cellpadding="5"
{| class="PropertiesTable" border="1" cellpadding="5"
Line 968: Line 1,066:
|'''Input''' (Input)
|'''Input''' (Input)
|
|
This property specifies the input to the Clean Cells to
This property specifies the input dataset to the
Grid filter.
Calculator filter. The scalar and vector variables may be chosen from
this dataset's arrays.
|
|


|
|
Accepts input of following types:
Accepts input of following types:
* vtkUnstructuredGrid
* vtkDataSet
 
The dataset must contain a field array ()
|}
 
==Clean to Grid==


This filter merges points and converts the data set to unstructured grid.The Clean to Grid filter merges
points that are exactly coincident. It also converts the
data set to an unstructured grid. You may wish to do this
if you want to apply a filter to your data set that is
available for unstructured grids but not for the initial
type of your data set (e.g., applying warp vector to
volumetric data). The Clean to Grid filter operates on any
type of data set.
{| class="PropertiesTable" border="1" cellpadding="5"
|-
|-
| '''Property'''
|'''AttributeMode''' (AttributeMode)
| '''Description'''
|
| '''Default Value(s)'''
This property determines whether the computation is to
| '''Restrictions'''
be performed on point-centered or cell-centered data.
 
|
1
|
The value(s) is an enumeration of the following:
* Point Data (1)
* Cell Data (2)
|-
|-
|'''Input''' (Input)
|'''CoordinateResults''' (CoordinateResults)
|
|
This property specifies the input to the Clean to Grid
The value of this property determines whether the
filter.
results of this computation should be used as point coordinates or as a
new array.
|
|
 
0
|
|
Accepts input of following types:
Accepts boolean values (0 or 1).
* vtkDataSet
 
|}
 
==ClientServerMoveData==
 
 
 
{| class="PropertiesTable" border="1" cellpadding="5"
|-
| '''Property'''
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''
 
|-
|-
|'''Input''' (Input)
|'''ResultNormals''' (ResultNormals)
|
|
Set the input to the Client Server Move Data
Set whether to output results as point/cell
filter.
normals. Outputing as normals is only valid with vector
results. Point or cell normals are selected using
AttributeMode.
|
|
 
0
|
|
 
Accepts boolean values (0 or 1).
|-
|-
|'''OutputDataType''' (OutputDataType)
|'''ResultTCoords''' (ResultTCoords)
|
|
 
Set whether to output results as point/cell
texture coordinates. Point or cell texture coordinates are
selected using AttributeMode. 2-component texture coordinates
cannot be generated at this time.
|
|
0
0
|
|
 
Accepts boolean values (0 or 1).
|-
|-
|'''WholeExtent''' (WholeExtent)
|'''ResultArrayName''' (ResultArrayName)
|
|
 
This property contains the name for the output array
containing the result of this computation.
|
|
0 -1 0 -1 0 -1
Result
|
|


|-
|'''Function''' (Function)
|


|}
This property contains the equation for computing the new
array.


==Clip==
|


Clip with an implicit plane. Clipping does not reduce the dimensionality of the data set. The output data type of this filter is always an unstructured grid.The Clip filter
|
cuts away a portion of the input data set using an
implicit plane. This filter operates on all types of data
sets, and it returns unstructured grid data on
output.


{| class="PropertiesTable" border="1" cellpadding="5"
|-
|'''Replace Invalid Results''' (ReplaceInvalidValues)
|
This property determines whether invalid values in the
computation will be replaced with a specific value. (See the
ReplacementValue property.)
|
1
|
Accepts boolean values (0 or 1).
|-
|'''ReplacementValue''' (ReplacementValue)
|
If invalid values in the computation are to be replaced
with another value, this property contains that value.
|
0.0
|
 
 
|}
 
==Cell Centers==
 
Create a point (no geometry) at the center of each input cell.The Cell Centers
filter places a point at the center of each cell in the
input data set. The center computed is the parametric
center of the cell, not necessarily the geometric or
bounding box center. The cell attributes of the input will
be associated with these newly created points of the
output. You have the option of creating a vertex cell per
point in the outpuut. This is useful because vertex cells
are rendered, but points are not. The points themselves
could be used for placing glyphs (using the Glyph filter).
The Cell Centers filter takes any type of data set as
input and produces a polygonal data set as
output.
 
{| class="PropertiesTable" border="1" cellpadding="5"
|-
|-
| '''Property'''
| '''Property'''
Line 1,066: Line 1,187:
|'''Input''' (Input)
|'''Input''' (Input)
|
|
This property specifies the dataset on which the Clip
This property specifies the input to the Cell Centers
filter will operate.
filter.
|
|


Line 1,073: Line 1,194:
Accepts input of following types:
Accepts input of following types:
* vtkDataSet
* vtkDataSet
The dataset much contain a field array ()
with 1 component(s).
|-
|-
|'''Clip Type''' (ClipFunction)
|'''VertexCells''' (VertexCells)
|
|
This property specifies the parameters of the clip
If set to 1, a vertex cell will be generated per point
function (an implicit plane) used to clip the dataset.
in the output. Otherwise only points will be generated.
|
|
 
0
|
|
The value can be one of the following:
Accepts boolean values (0 or 1).
* Plane (implicit_functions)


* Box (implicit_functions)
|}


* Sphere (implicit_functions)
==Cell Data to Point Data==


* Scalar (implicit_functions)
Create point attributes by averaging cell attributes.The Cell
 
Data to Point Data filter averages the values of the cell
|-
attributes of the cells surrounding a point to compute
|'''InputBounds''' (InputBounds)
point attributes. The Cell Data to Point Data filter
|
operates on any type of data set, and the output data set
is of the same type as the input.


|
{| class="PropertiesTable" border="1" cellpadding="5"
 
|-
|
| '''Property'''
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''


|-
|-
|'''Scalars''' (SelectInputScalars)
|'''Input''' (Input)
|
|
If clipping with scalars, this property specifies the
This property specifies the input to the Cell Data to
name of the scalar array on which to perform the clip
Point Data filter.
operation.
|
|


|
|
An array of scalars is required.The value must be field array name.
Accepts input of following types:
* vtkDataSet
The dataset must contain a field array (cell)
 
|-
|-
|'''Value''' (Value)
|'''PassCellData''' (PassCellData)
|
|
If clipping with scalars, this property sets the scalar
If this property is set to 1, then the input cell data
value about which to clip the dataset based on the scalar array chosen.
is passed through to the output; otherwise, only the generated point
(See SelectInputScalars.) If clipping with a clip function, this
data will be available in the output.
property specifies an offset from the clip function to use in the
clipping operation. Neither functionality is currently available in
ParaView's user interface.
|
0.0
|
The value must lie within the range of the selected data array.
|-
|'''InsideOut''' (InsideOut)
|
If this property is set to 0, the clip filter will
return that portion of the dataset that lies within the clip function.
If set to 1, the portions of the dataset that lie outside the clip
function will be returned instead.
|
|
0
0
Line 1,137: Line 1,245:
Accepts boolean values (0 or 1).
Accepts boolean values (0 or 1).
|-
|-
|'''UseValueAsOffset''' (UseValueAsOffset)
|'''PieceInvariant''' (PieceInvariant)
|
|
If UseValueAsOffset is true, Value is used as an offset
If the value of this property is set to 1, this filter
parameter to the implicit function. Otherwise, Value is used only when
will request ghost levels so that the values at boundary points match
clipping using a scalar array.
across processes. NOTE: Enabling this option might cause multiple
executions of the data source because more information is needed to
remove internal surfaces.
|
|
0
0
|
|
Accepts boolean values (0 or 1).
Accepts boolean values (0 or 1).
|-
 
|'''Crinkle clip''' (PreserveInputCells)
|}
|
 
This parameter controls whether to extract entire cells
==Clean==
in the given region or clip those cells so all of the output one stay
 
only inside that region.
Merge coincident points if they do not meet a feature edge criteria.The Clean filter
|
takes polygonal data as input and generates polygonal data
0
as output. This filter can merge duplicate points, remove
|
unused points, and transform degenerate cells into their
Accepts boolean values (0 or 1).
appropriate forms (e.g., a triangle is converted into a
 
line if two of its points are merged).
|}
 
==Clip Closed Surface==
 
Clip a polygonal dataset with a plane to produce closed surfaces
This clip filter cuts away a portion of the input polygonal dataset using
a plane to generate a new polygonal dataset.


{| class="PropertiesTable" border="1" cellpadding="5"
{| class="PropertiesTable" border="1" cellpadding="5"
Line 1,175: Line 1,278:
|'''Input''' (Input)
|'''Input''' (Input)
|
|
This property specifies the dataset on which the Clip
Set the input to the Clean filter.
filter will operate.
|
|


Line 1,182: Line 1,284:
Accepts input of following types:
Accepts input of following types:
* vtkPolyData
* vtkPolyData
The dataset much contain a field array (point)
with 1 component(s).
|-
|-
|'''Clipping Plane''' (ClippingPlane)
|'''PieceInvariant''' (PieceInvariant)
|
|
This property specifies the parameters of the clipping
If this property is set to 1, the whole data set will be
plane used to clip the polygonal data.
processed at once so that cleaning the data set always produces the
|
same results. If it is set to 0, the data set can be processed one
 
piece at a time, so it is not necessary for the entire data set to fit
|
into memory; however the results are not guaranteed to be the same as
The value can be one of the following:
they would be if the Piece invariant option was on. Setting this option
* Plane (implicit_functions)
to 0 may produce seams in the output dataset when ParaView is run in
 
parallel.
|-
|'''GenerateFaces''' (GenerateFaces)
|
Generate polygonal faces in the output.
|
|
1
1
Line 1,206: Line 1,300:
Accepts boolean values (0 or 1).
Accepts boolean values (0 or 1).
|-
|-
|'''GenerateOutline''' (GenerateOutline)
|'''Tolerance''' (Tolerance)
|
|
Generate clipping outlines in the output wherever an
If merging nearby points (see PointMerging property) and
input face is cut by the clipping plane.
not using absolute tolerance (see ToleranceIsAbsolute property), this
property specifies the tolerance for performing merging as a fraction
of the length of the diagonal of the bounding box of the input data
set.
|
|
0
0.0
|
|
Accepts boolean values (0 or 1).
 
|-
|-
|'''Generate Cell Origins''' (GenerateColorScalars)
|'''AbsoluteTolerance''' (AbsoluteTolerance)
|
|
Generate (cell) data for coloring purposes such that the
If merging nearby points (see PointMerging property) and
newly generated cells (including capping faces and clipping outlines)
using absolute tolerance (see ToleranceIsAbsolute property), this
can be distinguished from the input cells.
property specifies the tolerance for performing merging in the spatial
units of the input data set.
|
1.0
|
 
|-
|'''ToleranceIsAbsolute''' (ToleranceIsAbsolute)
|
This property determines whether to use absolute or
relative (a percentage of the bounding box) tolerance when performing
point merging.
|
|
0
0
Line 1,225: Line 1,333:
Accepts boolean values (0 or 1).
Accepts boolean values (0 or 1).
|-
|-
|'''InsideOut''' (InsideOut)
|'''ConvertLinesToPoints''' (ConvertLinesToPoints)
|
|
If this flag is turned off, the clipper will return the
If this property is set to 1, degenerate lines (a "line"
portion of the data that lies within the clipping plane. Otherwise, the
whose endpoints are at the same spatial location) will be converted to
clipper will return the portion of the data that lies outside the
points.
clipping plane.
|
|
0
1
|
|
Accepts boolean values (0 or 1).
Accepts boolean values (0 or 1).
|-
|-
|'''Clipping Tolerance''' (Tolerance)
|'''ConvertPolysToLines''' (ConvertPolysToLines)
|
|
Specify the tolerance for creating new points. A small
If this property is set to 1, degenerate polygons (a
value might incur degenerate triangles.
"polygon" with only two distinct point coordinates) will be converted
to lines.
|
|
0.000001
1
|
|
 
Accepts boolean values (0 or 1).
|-
|-
|'''Base Color''' (BaseColor)
|'''ConvertStripsToPolys''' (ConvertStripsToPolys)
|
|
Specify the color for the faces from the
If this property is set to 1, degenerate triangle strips
input.
(a triangle "strip" containing only one triangle) will be converted to
triangles.
|
|
0.10 0.10 1.00
1
|
|
 
Accepts boolean values (0 or 1).
|-
|-
|'''Clip Color''' (ClipColor)
|'''PointMerging''' (PointMerging)
|
|
Specifiy the color for the capping faces (generated on
If this property is set to 1, then points will be merged
the clipping interface).
if they are within the specified Tolerance or AbsoluteTolerance (see
the Tolerance and AbsoluteTolerance propertys), depending on the value
of the ToleranceIsAbsolute property. (See the ToleranceIsAbsolute
property.) If this property is set to 0, points will not be
merged.
|
|
1.00 0.11 0.10
1
|
|
 
Accepts boolean values (0 or 1).


|}
|}


==Clip Generic Dataset==
==Clean Cells to Grid==


Clip with an implicit plane, sphere or with scalars. Clipping does not reduce the dimensionality of the data set. This output data type of this filter is always an unstructured grid.
This filter merges cells and converts the data set to unstructured grid.Merges degenerate cells. Assumes
The Generic Clip filter cuts away a portion of the input
the input grid does not contain duplicate points. You may
data set using a plane, a sphere, a box, or a scalar
want to run vtkCleanUnstructuredGrid first to assert it.
value. The menu in the Clip Function portion of the
If duplicated cells are found they are removed in the
interface allows the user to select which implicit
output. The filter also handles the case, where a cell may
function to use or whether to clip using a scalar value.
contain degenerate nodes (i.e. one and the same node is
Making this selection loads the appropriate user
referenced by a cell more than once).
interface. For the implicit functions, the appropriate 3D
widget (plane, sphere, or box) is also displayed. The use
of these 3D widgets, including their user interface
components, is discussed in section 7.4. If an implicit
function is selected, the clip filter returns that portion
of the input data set that lies inside the function. If
Scalars is selected, then the user must specify a scalar
array to clip according to. The clip filter will return
the portions of the data set whose value in the selected
Scalars array is larger than the Clip value. Regardless of
the selection from the Clip Function menu, if the Inside
Out option is checked, the opposite portions of the data
set will be returned. This filter operates on all types of
data sets, and it returns unstructured grid data on
output.


{| class="PropertiesTable" border="1" cellpadding="5"
{| class="PropertiesTable" border="1" cellpadding="5"
Line 1,300: Line 1,398:
|'''Input''' (Input)
|'''Input''' (Input)
|
|
Set the input to the Generic Clip
This property specifies the input to the Clean Cells to
filter.
Grid filter.
|
|


|
|
Accepts input of following types:
Accepts input of following types:
* vtkGenericDataSet
* vtkUnstructuredGrid
The dataset much contain a field array (point)


|-
|}
|'''Clip Type''' (ClipFunction)
|
Set the parameters of the clip function.
|


|
==Clean to Grid==
The value can be one of the following:
* Plane (implicit_functions)


* Box (implicit_functions)
This filter merges points and converts the data set to unstructured grid.The Clean to Grid filter merges
points that are exactly coincident. It also converts the
data set to an unstructured grid. You may wish to do this
if you want to apply a filter to your data set that is
available for unstructured grids but not for the initial
type of your data set (e.g., applying warp vector to
volumetric data). The Clean to Grid filter operates on any
type of data set.


* Sphere (implicit_functions)
{| class="PropertiesTable" border="1" cellpadding="5"
 
|-
* Scalar (implicit_functions)
| '''Property'''
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''


|-
|-
|'''InputBounds''' (InputBounds)
|'''Input''' (Input)
|
|
 
This property specifies the input to the Clean to Grid
filter.
|
|


|
|
Accepts input of following types:
* vtkDataSet


|}
==ClientServerMoveData==
{| class="PropertiesTable" border="1" cellpadding="5"
|-
|-
|'''Scalars''' (SelectInputScalars)
| '''Property'''
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''
 
|-
|'''Input''' (Input)
|
|
If clipping with scalars, this property specifies the
Set the input to the Client Server Move Data
name of the scalar array on which to perform the clip
filter.
operation.
|
|


|
|
An array of scalars is required.The value must be field array name.
 
|-
|-
|'''InsideOut''' (InsideOut)
|'''OutputDataType''' (OutputDataType)
|
|
Choose which portion of the dataset should be clipped
 
away.
|
|
0
0
|
|
Accepts boolean values (0 or 1).
 
|-
|-
|'''Value''' (Value)
|'''WholeExtent''' (WholeExtent)
|
|
If clipping with a scalar array, choose the clipping
 
value.
|
|
0.0
0 -1 0 -1 0 -1
|
|
The value must lie within the range of the selected data array.
 


|}
|}


==Compute Derivatives==
==Clip==


This filter computes derivatives of scalars and vectors.
Clip with an implicit plane. Clipping does not reduce the dimensionality of the data set. The output data type of this filter is always an unstructured grid.The Clip filter
CellDerivatives is a filter that computes derivatives of
cuts away a portion of the input data set using an
scalars and vectors at the center of cells. You can choose
implicit plane. This filter operates on all types of data
to generate different output including the scalar gradient
sets, and it returns unstructured grid data on
(a vector), computed tensor vorticity (a vector), gradient
output.
of input vectors (a tensor), and strain matrix of the
input vectors (a tensor); or you may choose to pass data
through to the output.


{| class="PropertiesTable" border="1" cellpadding="5"
{| class="PropertiesTable" border="1" cellpadding="5"
Line 1,385: Line 1,496:
|'''Input''' (Input)
|'''Input''' (Input)
|
|
This property specifies the input to the
This property specifies the dataset on which the Clip
filter.
filter will operate.
|
|


Line 1,392: Line 1,503:
Accepts input of following types:
Accepts input of following types:
* vtkDataSet
* vtkDataSet
The dataset much contain a field array (point)
The dataset must contain a field array ()


with 1 component(s).
with 1 component(s).
The dataset much contain a field array (point)
with 3 component(s).


|-
|-
|'''Scalars''' (SelectInputScalars)
|'''Clip Type''' (ClipFunction)
|
|
This property indicates the name of the scalar array to
This property specifies the parameters of the clip
differentiate.
function (an implicit plane) used to clip the dataset.
|
|


|
|
An array of scalars is required.
The value can be one of the following:
* Plane (implicit_functions)
 
* Box (implicit_functions)
 
* Sphere (implicit_functions)
 
* Cylinder (implicit_functions)
 
* Scalar (implicit_functions)
 
|-
|-
|'''Vectors''' (SelectInputVectors)
|'''InputBounds''' (InputBounds)
|
|
This property indicates the name of the vector array to
 
differentiate.
|
|
1
 
|
|
An array of vectors is required.
 
|-
|-
|'''OutputVectorType''' (OutputVectorType)
|'''Scalars''' (SelectInputScalars)
|
|
This property Controls how the filter works to generate
If clipping with scalars, this property specifies the
vector cell data. You can choose to compute the gradient of the input
name of the scalar array on which to perform the clip
scalars, or extract the vorticity of the computed vector gradient
operation.
tensor. By default, the filter will take the gradient of the input
scalar data.
|
|
1
 
|
|
The value(s) is an enumeration of the following:
An array of scalars is required.The value must be field array name.
* Nothing (0)
* Scalar Gradient (1)
* Vorticity (2)
|-
|-
|'''OutputTensorType''' (OutputTensorType)
|'''Value''' (Value)
|
If clipping with scalars, this property sets the scalar
value about which to clip the dataset based on the scalar array chosen.
(See SelectInputScalars.) If clipping with a clip function, this
property specifies an offset from the clip function to use in the
clipping operation. Neither functionality is currently available in
ParaView's user interface.
|
|
This property controls how the filter works to generate
0.0
tensor cell data. You can choose to compute the gradient of the input
vectors, or compute the strain tensor of the vector gradient tensor. By
default, the filter will take the gradient of the vector data to
construct a tensor.
|
|
1
The value must lie within the range of the selected data array.
|-
|'''InsideOut''' (InsideOut)
|
|
The value(s) is an enumeration of the following:
If this property is set to 0, the clip filter will
* Nothing (0)
return that portion of the dataset that lies within the clip function.
* Vector Gradient (1)
If set to 1, the portions of the dataset that lie outside the clip
* Strain (2)
function will be returned instead.
 
|
|}
0
 
|
==Connectivity==
Accepts boolean values (0 or 1).
|-
|'''UseValueAsOffset''' (UseValueAsOffset)
|
If UseValueAsOffset is true, Value is used as an offset
parameter to the implicit function. Otherwise, Value is used only when
clipping using a scalar array.
|
0
|
Accepts boolean values (0 or 1).
|-
|'''Crinkle clip''' (PreserveInputCells)
|
This parameter controls whether to extract entire cells
in the given region or clip those cells so all of the output one stay
only inside that region.
|
0
|
Accepts boolean values (0 or 1).
 
|}
 
==Clip Closed Surface==


Mark connected components with integer point attribute array.The Connectivity
Clip a polygonal dataset with a plane to produce closed surfaces
filter assigns a region id to connected components of the
This clip filter cuts away a portion of the input polygonal dataset using
input data set. (The region id is assigned as a point
a plane to generate a new polygonal dataset.
scalar value.) This filter takes any data set type as
input and produces unstructured grid
output.


{| class="PropertiesTable" border="1" cellpadding="5"
{| class="PropertiesTable" border="1" cellpadding="5"
Line 1,470: Line 1,607:
|'''Input''' (Input)
|'''Input''' (Input)
|
|
This property specifies the input to the Connectivity
This property specifies the dataset on which the Clip
filter.
filter will operate.
|
|


|
|
Accepts input of following types:
Accepts input of following types:
* vtkDataSet
* vtkPolyData
The dataset must contain a field array (point)
 
with 1 component(s).
 
|-
|-
|'''ExtractionMode''' (ExtractionMode)
|'''Clipping Plane''' (ClippingPlane)
|
|
Controls the extraction of connected
This property specifies the parameters of the clipping
surfaces.
plane used to clip the polygonal data.
|
|
5
 
|
|
The value(s) is an enumeration of the following:
The value can be one of the following:
* Extract Point Seeded Regions (1)
* Plane (implicit_functions)
* Extract Cell Seeded Regions (2)
 
* Extract Specified Regions (3)
* Extract Largest Region (4)
* Extract All Regions (5)
* Extract Closes Point Region (6)
|-
|-
|'''ColorRegions''' (ColorRegions)
|'''GenerateFaces''' (GenerateFaces)
|
|
Controls the coloring of the connected
Generate polygonal faces in the output.
regions.
|
|
1
1
|
|
Accepts boolean values (0 or 1).
Accepts boolean values (0 or 1).
|}
==Contingency Statistics==
Compute a statistical model of a dataset and/or assess the dataset with a statistical model.
This filter either computes a statistical model of a dataset or takes
such a model as its second input. Then, the model (however it is
obtained) may optionally be used to assess the input dataset. This filter
computes contingency tables between pairs of attributes. This result is a
tabular bivariate probability distribution which serves as a
Bayesian-style prior model. Data is assessed by computing <ul>
<li> the probability of observing both variables simultaneously;
<li> the probability of each variable conditioned on the other (the
two values need not be identical); and <li> the pointwise mutual
information (PMI). </ul> Finally, the summary statistics include
the information entropy of the observations.
{| class="PropertiesTable" border="1" cellpadding="5"
|-
|-
| '''Property'''
|'''GenerateOutline''' (GenerateOutline)
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''
 
|-
|'''Input''' (Input)
|
|
The input to the filter. Arrays from this dataset will
Generate clipping outlines in the output wherever an
be used for computing statistics and/or assessed by a statistical
input face is cut by the clipping plane.
model.
|
|
 
0
|
|
Accepts input of following types:
Accepts boolean values (0 or 1).
* vtkImageData
* vtkStructuredGrid
* vtkPolyData
* vtkUnstructuredGrid
* vtkTable
* vtkGraph
The dataset much contain a field array ()
 
|-
|-
|'''ModelInput''' (ModelInput)
|'''Generate Cell Origins''' (ScalarMode)
|
|
A previously-calculated model with which to assess a
Generate (cell) data for coloring purposes such that the
separate dataset. This input is optional.
newly generated cells (including capping faces and clipping outlines)
can be distinguished from the input cells.
|
|
 
0
|
|
Accepts input of following types:
The value(s) is an enumeration of the following:
* vtkTable
* None (0)
* vtkMultiBlockDataSet
* Color (1)
* Label (2)
|-
|-
|'''AttributeMode''' (AttributeMode)
|'''InsideOut''' (InsideOut)
|
|
Specify which type of field data the arrays will be
If this flag is turned off, the clipper will return the
drawn from.
portion of the data that lies within the clipping plane. Otherwise, the
clipper will return the portion of the data that lies outside the
clipping plane.
|
|
0
0
|
|
The value must be field array name.
Accepts boolean values (0 or 1).
|-
|-
|'''Variables of Interest''' (SelectArrays)
|'''Clipping Tolerance''' (Tolerance)
|
|
Choose arrays whose entries will be used to form
Specify the tolerance for creating new points. A small
observations for statistical analysis.
value might incur degenerate triangles.
|
|
 
0.000001
|
|


|-
|-
|'''Task''' (Task)
|'''Base Color''' (BaseColor)
|
|
Specify the task to be performed: modeling and/or
Specify the color for the faces from the
assessment. <ol> <li> "Detailed model of input data,"
input.
creates a set of output tables containing a calculated statistical
model of the <b>entire</b> input dataset;</li>
<li> "Model a subset of the data," creates an output table (or
tables) summarizing a <b>randomly-chosen subset</b> of the
input dataset;</li> <li> "Assess the data with a model,"
adds attributes to the first input dataset using a model provided on
the second input port; and</li> <li> "Model and assess the
same data," is really just operations 2 and 3 above applied to the same
input dataset. The model is first trained using a fraction of the input
data and then the entire dataset is assessed using that
model.</li> </ol> When the task includes creating a model
(i.e., tasks 2, and 4), you may adjust the fraction of the input
dataset used for training. You should avoid using a large fraction of
the input data for training as you will then not be able to detect
overfitting. The <i>Training fraction</i> setting will be
ignored for tasks 1 and 3.
|
|
3
0.10 0.10 1.00
|
|
The value(s) is an enumeration of the following:
 
* Detailed model of input data (0)
* Model a subset of the data (1)
* Assess the data with a model (2)
* Model and assess the same data (3)
|-
|-
|'''TrainingFraction''' (TrainingFraction)
|'''Clip Color''' (ClipColor)
|
|
Specify the fraction of values from the input dataset to
Specifiy the color for the capping faces (generated on
be used for model fitting. The exact set of values is chosen at random
the clipping interface).
from the dataset.
|
|
0.1
1.00 0.11 0.10
|
|


Line 1,615: Line 1,700:
|}
|}


==Contour==
==Clip Generic Dataset==


Generate isolines or isosurfaces using point scalars.The Contour
Clip with an implicit plane, sphere or with scalars. Clipping does not reduce the dimensionality of the data set. This output data type of this filter is always an unstructured grid.
filter computes isolines or isosurfaces using a selected
The Generic Clip filter cuts away a portion of the input
point-centered scalar array. The Contour filter operates
data set using a plane, a sphere, a box, or a scalar
on any type of data set, but the input is required to have
value. The menu in the Clip Function portion of the
at least one point-centered scalar (single-component)
interface allows the user to select which implicit
array. The output of this filter is
function to use or whether to clip using a scalar value.
polygonal.
Making this selection loads the appropriate user
interface. For the implicit functions, the appropriate 3D
widget (plane, sphere, or box) is also displayed. The use
of these 3D widgets, including their user interface
components, is discussed in section 7.4. If an implicit
function is selected, the clip filter returns that portion
of the input data set that lies inside the function. If
Scalars is selected, then the user must specify a scalar
array to clip according to. The clip filter will return
the portions of the data set whose value in the selected
Scalars array is larger than the Clip value. Regardless of
the selection from the Clip Function menu, if the Inside
Out option is checked, the opposite portions of the data
set will be returned. This filter operates on all types of
data sets, and it returns unstructured grid data on
output.


{| class="PropertiesTable" border="1" cellpadding="5"
{| class="PropertiesTable" border="1" cellpadding="5"
Line 1,635: Line 1,735:
|'''Input''' (Input)
|'''Input''' (Input)
|
|
This property specifies the input dataset to be used by
Set the input to the Generic Clip
the contour filter.
filter.
|
|


|
|
Accepts input of following types:
Accepts input of following types:
* vtkDataSet
* vtkGenericDataSet
The dataset much contain a field array (point)
The dataset must contain a field array (point)
 
with 1 component(s).


|-
|-
|'''Contour By''' (SelectInputScalars)
|'''Clip Type''' (ClipFunction)
|
|
This property specifies the name of the scalar array
Set the parameters of the clip function.
from which the contour filter will compute isolines and/or
isosurfaces.
|
|


|
|
An array of scalars is required.The value must be field array name.
The value can be one of the following:
* Plane (implicit_functions)
 
* Box (implicit_functions)
 
* Sphere (implicit_functions)
 
* Scalar (implicit_functions)
 
|-
|-
|'''Isosurfaces''' (ContourValues)
|'''InputBounds''' (InputBounds)
|
|
This property specifies the values at which to compute
 
isosurfaces/isolines and also the number of such
values.
|
|


|
|
The value must lie within the range of the selected data array.
 
|-
|-
|'''ComputeNormals''' (ComputeNormals)
|'''Scalars''' (SelectInputScalars)
|
|
If this property is set to 1, a scalar array containing
If clipping with scalars, this property specifies the
a normal value at each point in the isosurface or isoline will be
name of the scalar array on which to perform the clip
created by the contour filter; otherwise an array of normals will not
operation.
be computed. This operation is fairly expensive both in terms of
computation time and memory required, so if the output dataset produced
by the contour filter will be processed by filters that modify the
dataset's topology or geometry, it may be wise to set the value of this
property to 0. Select whether to compute normals.
|
|
1
 
|
|
Accepts boolean values (0 or 1).
An array of scalars is required.The value must be field array name.
|-
|-
|'''ComputeGradients''' (ComputeGradients)
|'''InsideOut''' (InsideOut)
|
|
If this property is set to 1, a scalar array containing
Choose which portion of the dataset should be clipped
a gradient value at each point in the isosurface or isoline will be
away.
created by this filter; otherwise an array of gradients will not be
computed. This operation is fairly expensive both in terms of
computation time and memory required, so if the output dataset produced
by the contour filter will be processed by filters that modify the
dataset's topology or geometry, it may be wise to set the value of this
property to 0. Not that if ComputeNormals is set to 1, then gradients
will have to be calculated, but they will only be stored in the output
dataset if ComputeGradients is also set to 1.
|
|
0
0
Line 1,699: Line 1,788:
Accepts boolean values (0 or 1).
Accepts boolean values (0 or 1).
|-
|-
|'''ComputeScalars''' (ComputeScalars)
|'''Value''' (Value)
|
|
If this property is set to 1, an array of scalars
If clipping with a scalar array, choose the clipping
(containing the contour value) will be added to the output dataset. If
value.
set to 0, the output will not contain this array.
|
|
0
0.0
|
|
Accepts boolean values (0 or 1).
The value must lie within the range of the selected data array.
 
|}
 
==Color By Array==
 
This filter generate a color based image data based on a selected data scalar
 
{| class="PropertiesTable" border="1" cellpadding="5"
|-
| '''Property'''
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''
 
|-
|-
|'''Point Merge Method''' (Locator)
|'''Input''' (Input)
|
|
This property specifies an incremental point locator for
 
merging duplicate / coincident points.
|
|


|
|
The value can be one of the following:
Accepts input of following types:
* MergePoints (incremental_point_locators)
* vtkImageData
The dataset must contain a field array (point)


* IncrementalOctreeMergePoints (incremental_point_locators)
with 1 component(s).


* NonMergingPointLocator (incremental_point_locators)
|-
|'''LookupTable''' (LookupTable)
|


|


|}
|


==Contour Generic Dataset==
|-
|'''Color By''' (SelectInputScalars)
|
This property specifies the name of the scalar array
from which we will color by.
|


Generate isolines or isosurfaces using point scalars.The Generic
|
Contour filter computes isolines or isosurfaces using a
An array of scalars is required.The value must be field array name.
selected point-centered scalar array. The available scalar
|-
arrays are listed in the Scalars menu. The scalar range of
|'''RGBA NaN Color''' (NaNColor)
the selected array will be displayed. The interface for
|
adding contour values is very similar to the one for
 
selecting cut offsets (in the Cut filter). To add a single
|
contour value, select the value from the New Value slider
0 0 0 255
in the Add value portion of the interface and click the
|
Add button, or press Enter. To instead add several evenly
 
spaced contours, use the controls in the Generate range of
|-
values section. Select the number of contour values to
|'''OutputFormat''' (OutputFormat)
generate using the Number of Values slider. The Range
|
slider controls the interval in which to generate the
 
contour values. Once the number of values and range have
|
been selected, click the Generate button. The new values
3
will be added to the Contour Values list. To delete a
|
value from the Contour Values list, select the value and
The value(s) is an enumeration of the following:
click the Delete button. (If no value is selected, the
* Luminance (1)
last value in the list will be removed.) Clicking the
* Luminance Alpha (2)
Delete All button removes all the values in the list. If
* RGB (3)
no values are in the Contour Values list when Accept is
* RGBA (4)
pressed, the current value of the New Value slider will be
 
used. In addition to selecting contour values, you can
|}
also select additional computations to perform. If any of
 
Compute Normals, Compute Gradients, or Compute Scalars is
==Compute Derivatives==
selected, the appropriate computation will be performed,
 
and a corresponding point-centered array will be added to
This filter computes derivatives of scalars and vectors.
the output. The Generic Contour filter operates on a
CellDerivatives is a filter that computes derivatives of
generic data set, but the input is required to have at
scalars and vectors at the center of cells. You can choose
least one point-centered scalar (single-component) array.
to generate different output including the scalar gradient
The output of this filter is polygonal.
(a vector), computed tensor vorticity (a vector), gradient
of input vectors (a tensor), and strain matrix of the
input vectors (a tensor); or you may choose to pass data
through to the output.


{| class="PropertiesTable" border="1" cellpadding="5"
{| class="PropertiesTable" border="1" cellpadding="5"
Line 1,771: Line 1,884:
|'''Input''' (Input)
|'''Input''' (Input)
|
|
Set the input to the Generic Contour
This property specifies the input to the
filter.
filter.
|
|
Line 1,777: Line 1,890:
|
|
Accepts input of following types:
Accepts input of following types:
* vtkGenericDataSet
* vtkDataSet
The dataset much contain a field array (point)
The dataset must contain a field array (point)


with 1 component(s).
with 1 component(s).
The dataset must contain a field array (point)
with 3 component(s).


|-
|-
|'''Contour By''' (SelectInputScalars)
|'''Scalars''' (SelectInputScalars)
|
|
This property specifies the name of the scalar array
This property indicates the name of the scalar array to
from which the contour filter will compute isolines and/or
differentiate.
isosurfaces.
|
|


|
|
An array of scalars is required.The value must be field array name.
An array of scalars is required.
|-
|-
|'''Isosurfaces''' (ContourValues)
|'''Vectors''' (SelectInputVectors)
|
|
This property specifies the values at which to compute
This property indicates the name of the vector array to
isosurfaces/isolines and also the number of such
differentiate.
values.
|
|
 
1
|
|
The value must lie within the range of the selected data array.
An array of vectors is required.
|-
|-
|'''ComputeNormals''' (ComputeNormals)
|'''OutputVectorType''' (OutputVectorType)
|
|
Select whether to compute normals.
This property Controls how the filter works to generate
vector cell data. You can choose to compute the gradient of the input
scalars, or extract the vorticity of the computed vector gradient
tensor. By default, the filter will take the gradient of the input
scalar data.
|
|
1
1
|
|
Accepts boolean values (0 or 1).
The value(s) is an enumeration of the following:
* Nothing (0)
* Scalar Gradient (1)
* Vorticity (2)
|-
|-
|'''ComputeGradients''' (ComputeGradients)
|'''OutputTensorType''' (OutputTensorType)
|
|
Select whether to compute gradients.
This property controls how the filter works to generate
tensor cell data. You can choose to compute the gradient of the input
vectors, or compute the strain tensor of the vector gradient tensor. By
default, the filter will take the gradient of the vector data to
construct a tensor.
|
|
0
1
|
|
Accepts boolean values (0 or 1).
The value(s) is an enumeration of the following:
|-
* Nothing (0)
|'''ComputeScalars''' (ComputeScalars)
* Vector Gradient (1)
|
* Strain (2)
Select whether to compute scalars.
|
0
|
Accepts boolean values (0 or 1).
|-
|'''Point Merge Method''' (Locator)
|
This property specifies an incremental point locator for
merging duplicate / coincident points.
|
 
|
The value can be one of the following:
* MergePoints (incremental_point_locators)
 
* IncrementalOctreeMergePoints (incremental_point_locators)
 
* NonMergingPointLocator (incremental_point_locators)
 


|}
|}


==Convert AMR dataset to Multi-block==
==Compute Quartiles==


Convert AMR to Multiblock
Compute the quartiles table from a dataset or table.


{| class="PropertiesTable" border="1" cellpadding="5"
{| class="PropertiesTable" border="1" cellpadding="5"
Line 1,858: Line 1,964:
|'''Input''' (Input)
|'''Input''' (Input)
|
|
This property specifies the input for this
This property specifies the input to the
filter.
filter.
|
|
Line 1,864: Line 1,970:
|
|
Accepts input of following types:
Accepts input of following types:
* vtkOverlappingAMR
* vtkDataObject


|}
|}


==ConvertSelection==
==Connectivity==


Converts a selection from one type to
Mark connected components with integer point attribute array.The Connectivity
another.
filter assigns a region id to connected components of the
input data set. (The region id is assigned as a point
scalar value.) This filter takes any data set type as
input and produces unstructured grid
output.


{| class="PropertiesTable" border="1" cellpadding="5"
{| class="PropertiesTable" border="1" cellpadding="5"
Line 1,880: Line 1,990:
| '''Restrictions'''
| '''Restrictions'''


|-
|'''DataInput''' (DataInput)
|
Set the vtkDataObject input used to convert the
selection.
|
|
Accepts input of following types:
* vtkDataObject
|-
|-
|'''Input''' (Input)
|'''Input''' (Input)
|
|
Set the selection to convert.
This property specifies the input to the Connectivity
filter.
|
|


|
|
Accepts input of following types:
Accepts input of following types:
* vtkSelection
* vtkDataSet
|-
|-
|'''OutputType''' (OutputType)
|'''ExtractionMode''' (ExtractionMode)
|
|
Set the ContentType for the output.
Controls the extraction of connected
surfaces.
|
|
5
5
|
|
The value(s) is an enumeration of the following:
The value(s) is an enumeration of the following:
* SELECTIONS (0)
* Extract Point Seeded Regions (1)
* GLOBALIDs (1)
* Extract Cell Seeded Regions (2)
* PEDIGREEIDS (2)
* Extract Specified Regions (3)
* VALUES (3)
* Extract Largest Region (4)
* INDICES (4)
* Extract All Regions (5)
* FRUSTUM (5)
* Extract Closes Point Region (6)
* LOCATION (6)
* THRESHOLDS (7)
|-
|-
|'''ArrayNames''' (ArrayNames)
|'''ColorRegions''' (ColorRegions)
|
|
 
Controls the coloring of the connected
regions.
|
|
 
1
|
 
|-
|'''MatchAnyValues''' (MatchAnyValues)
|
 
|
0
|
|
Accepts boolean values (0 or 1).
Accepts boolean values (0 or 1).
Line 1,934: Line 2,027:
|}
|}


==Crop==
==Contingency Statistics==


Efficiently extract an area/volume of interest from a 2-d image or 3-d volume.The Crop filter
Compute a statistical model of a dataset and/or assess the dataset with a statistical model.
extracts an area/volume of interest from a 2D image or a
This filter either computes a statistical model of a dataset or takes
3D volume by allowing the user to specify the minimum and
such a model as its second input. Then, the model (however it is
maximum extents of each dimension of the data. Both the
obtained) may optionally be used to assess the input dataset. This filter
input and output of this filter are uniform rectilinear
computes contingency tables between pairs of attributes. This result is a
data.
tabular bivariate probability distribution which serves as a
Bayesian-style prior model. Data is assessed by computing <ul>
<li> the probability of observing both variables simultaneously;
<li> the probability of each variable conditioned on the other (the
two values need not be identical); and <li> the pointwise mutual
information (PMI). </ul> Finally, the summary statistics include
the information entropy of the observations.


{| class="PropertiesTable" border="1" cellpadding="5"
{| class="PropertiesTable" border="1" cellpadding="5"
Line 1,953: Line 2,052:
|'''Input''' (Input)
|'''Input''' (Input)
|
|
This property specifies the input to the Crop
The input to the filter. Arrays from this dataset will
filter.
be used for computing statistics and/or assessed by a statistical
model.
|
|


Line 1,960: Line 2,060:
Accepts input of following types:
Accepts input of following types:
* vtkImageData
* vtkImageData
|-
* vtkStructuredGrid
|'''OutputWholeExtent''' (OutputWholeExtent)
* vtkPolyData
|
* vtkUnstructuredGrid
This property gives the minimum and maximum point index
* vtkTable
(extent) in each dimension for the output dataset.
* vtkGraph
|
The dataset must contain a field array ()
0 0 0 0 0 0
|
The value(s) must lie within the structured-extents of the input dataset.


|}
==Curvature==
This filter will compute the Gaussian or mean curvature of the mesh at each point.The
Curvature filter computes the curvature at each point in a
polygonal data set. This filter supports both Gaussian and
mean curvatures. ; the type can be selected from the
Curvature type menu button.
{| class="PropertiesTable" border="1" cellpadding="5"
|-
|-
| '''Property'''
|'''ModelInput''' (ModelInput)
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''
 
|-
|'''Input''' (Input)
|
|
This property specifies the input to the Curvature
A previously-calculated model with which to assess a
filter.
separate dataset. This input is optional.
|
|


|
|
Accepts input of following types:
Accepts input of following types:
* vtkPolyData
* vtkTable
* vtkMultiBlockDataSet
|-
|-
|'''InvertMeanCurvature''' (InvertMeanCurvature)
|'''AttributeMode''' (AttributeMode)
|
|
If this property is set to 1, the mean curvature
Specify which type of field data the arrays will be
calculation will be inverted. This is useful for meshes with
drawn from.
inward-pointing normals.
|
|
0
0
|
|
Accepts boolean values (0 or 1).
The value must be field array name.
|-
|-
|'''CurvatureType''' (CurvatureType)
|'''Variables of Interest''' (SelectArrays)
|
|
This propery specifies which type of curvature to
Choose arrays whose entries will be used to form
compute.
observations for statistical analysis.
|
|
0
 
|
|
The value(s) is an enumeration of the following:
* Gaussian (0)
* Mean (1)


|}
==D3==
Repartition a data set into load-balanced spatially convex regions. Create ghost cells if requested.The D3 filter is
available when ParaView is run in parallel. It operates on
any type of data set to evenly divide it across the
processors into spatially contiguous regions. The output
of this filter is of type unstructured
grid.
{| class="PropertiesTable" border="1" cellpadding="5"
|-
|-
| '''Property'''
|'''Task''' (Task)
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''
 
|-
|'''Input''' (Input)
|
|
This property specifies the input to the D3
Specify the task to be performed: modeling and/or
filter.
assessment. <ol> <li> "Detailed model of input data,"
creates a set of output tables containing a calculated statistical
model of the <b>entire</b> input dataset;</li>
<li> "Model a subset of the data," creates an output table (or
tables) summarizing a <b>randomly-chosen subset</b> of the
input dataset;</li> <li> "Assess the data with a model,"
adds attributes to the first input dataset using a model provided on
the second input port; and</li> <li> "Model and assess the
same data," is really just operations 2 and 3 above applied to the same
input dataset. The model is first trained using a fraction of the input
data and then the entire dataset is assessed using that
model.</li> </ol> When the task includes creating a model
(i.e., tasks 2, and 4), you may adjust the fraction of the input
dataset used for training. You should avoid using a large fraction of
the input data for training as you will then not be able to detect
overfitting. The <i>Training fraction</i> setting will be
ignored for tasks 1 and 3.
|
|
 
3
|
|
Accepts input of following types:
The value(s) is an enumeration of the following:
* vtkDataSet
* Detailed model of input data (0)
* Model a subset of the data (1)
* Assess the data with a model (2)
* Model and assess the same data (3)
|-
|-
|'''BoundaryMode''' (BoundaryMode)
|'''TrainingFraction''' (TrainingFraction)
|
|
This property determines how cells that lie on processor
Specify the fraction of values from the input dataset to
boundaries are handled. The "Assign cells uniquely" option assigns each
be used for model fitting. The exact set of values is chosen at random
boundary cell to exactly one process, which is useful for isosurfacing.
from the dataset.
Selecting "Duplicate cells" causes the cells on the boundaries to be
copied to each process that shares that boundary. The "Divide cells"
option breaks cells across process boundary lines so that pieces of the
cell lie in different processes. This option is useful for volume
rendering.
|
|
0
0.1
|
|
The value(s) is an enumeration of the following:
 
* Assign cells uniquely (0)
* Duplicate cells (1)
* Divide cells (2)
|-
|'''Minimal Memory''' (UseMinimalMemory)
|
If this property is set to 1, the D3 filter requires
communication routines to use minimal memory than without this
restriction.
|
0
|
Accepts boolean values (0 or 1).


|}
|}


==Decimate==
==Contour==


Simplify a polygonal model using an adaptive edge collapse algorithm. This filter works with triangles only.
Generate isolines or isosurfaces using point scalars.The Contour
The Decimate filter reduces the number of triangles in a
filter computes isolines or isosurfaces using a selected
polygonal data set. Because this filter only operates on
point-centered scalar array. The Contour filter operates
triangles, first run the Triangulate filter on a dataset
on any type of data set, but the input is required to have
that contains polygons other than
at least one point-centered scalar (single-component)
triangles.
array. The output of this filter is
polygonal.


{| class="PropertiesTable" border="1" cellpadding="5"
{| class="PropertiesTable" border="1" cellpadding="5"
Line 2,097: Line 2,158:
|'''Input''' (Input)
|'''Input''' (Input)
|
|
This property specifies the input to the Decimate
This property specifies the input dataset to be used by
filter.
the contour filter.
|
|


|
|
Accepts input of following types:
Accepts input of following types:
* vtkPolyData
* vtkDataSet
The dataset must contain a field array (point)
 
with 1 component(s).
 
|-
|-
|'''TargetReduction''' (TargetReduction)
|'''Contour By''' (SelectInputScalars)
|
|
This property specifies the desired reduction in the
This property specifies the name of the scalar array
total number of polygons in the output dataset. For example, if the
from which the contour filter will compute isolines and/or
TargetReduction value is 0.9, the Decimate filter will attempt to
isosurfaces.
produce an output dataset that is 10% the size of the
input.)
|
|
0.9
 
|
|
 
An array of scalars is required.The value must be field array name.
|-
|-
|'''PreserveTopology''' (PreserveTopology)
|'''ComputeNormals''' (ComputeNormals)
|
If this property is set to 1, a scalar array containing
a normal value at each point in the isosurface or isoline will be
created by the contour filter; otherwise an array of normals will not
be computed. This operation is fairly expensive both in terms of
computation time and memory required, so if the output dataset produced
by the contour filter will be processed by filters that modify the
dataset's topology or geometry, it may be wise to set the value of this
property to 0. Select whether to compute normals.
|
1
|
Accepts boolean values (0 or 1).
|-
|'''ComputeGradients''' (ComputeGradients)
|
|
If this property is set to 1, decimation will not split
If this property is set to 1, a scalar array containing
the dataset or produce holes, but it may keep the filter from reaching
a gradient value at each point in the isosurface or isoline will be
the reduction target. If it is set to 0, better reduction can occur
created by this filter; otherwise an array of gradients will not be
(reaching the reduction target), but holes in the model may be
computed. This operation is fairly expensive both in terms of
produced.
computation time and memory required, so if the output dataset produced
by the contour filter will be processed by filters that modify the
dataset's topology or geometry, it may be wise to set the value of this
property to 0. Not that if ComputeNormals is set to 1, then gradients
will have to be calculated, but they will only be stored in the output
dataset if ComputeGradients is also set to 1.
|
|
0
0
Line 2,129: Line 2,212:
Accepts boolean values (0 or 1).
Accepts boolean values (0 or 1).
|-
|-
|'''FeatureAngle''' (FeatureAngle)
|'''ComputeScalars''' (ComputeScalars)
|
If this property is set to 1, an array of scalars
(containing the contour value) will be added to the output dataset. If
set to 0, the output will not contain this array.
|
|
The value of this property is used in determining where
0
the data set may be split. If the angle between two adjacent triangles
is greater than or equal to the FeatureAngle value, then their boundary
is considered a feature edge where the dataset can be
split.
|
|
15.0
Accepts boolean values (0 or 1).
|-
|'''OutputPointsPrecision''' (OutputPointsPrecision)
|
|


Select the output precision of the coordinates. **Single** sets the
output to single-precision floating-point (i.e., float), **Double**
sets it to double-precision floating-point (i.e., double), and
**Default** sets it to the same precision as the precision of the
points in the input. Defaults to ***Single***.
|
0
|
The value(s) is an enumeration of the following:
* Single (0)
* Double (1)
* Same as input (2)
|-
|-
|'''BoundaryVertexDeletion''' (BoundaryVertexDeletion)
|'''GenerateTriangles''' (GenerateTriangles)
|
|
If this property is set to 1, then vertices on the
This parameter controls whether to produce triangles in the output.
boundary of the dataset can be removed. Setting the value of this
Warning: Many filters do not properly handle non-trianglular polygons.
property to 0 preserves the boundary of the dataset, but it may cause
 
the filter not to reach its reduction target.
|
|
1
1
|
|
Accepts boolean values (0 or 1).
Accepts boolean values (0 or 1).
 
|-
|}
|'''Isosurfaces''' (ContourValues)
 
==Delaunay 2D==
 
Create 2D Delaunay triangulation of input points. It expects a vtkPointSet as input and produces vtkPolyData as output. The points are expected to be in a mostly planar distribution.
Delaunay2D is a filter that constructs a 2D Delaunay
triangulation from a list of input points. These points
may be represented by any dataset of type vtkPointSet and
subclasses. The output of the filter is a polygonal
dataset containing a triangle mesh. The 2D Delaunay
triangulation is defined as the triangulation that
satisfies the Delaunay criterion for n-dimensional
simplexes (in this case n=2 and the simplexes are
triangles). This criterion states that a circumsphere of
each simplex in a triangulation contains only the n+1
defining points of the simplex. In two dimensions, this
translates into an optimal triangulation. That is, the
maximum interior angle of any triangle is less than or
equal to that of any possible triangulation. Delaunay
triangulations are used to build topological structures
from unorganized (or unstructured) points. The input to
this filter is a list of points specified in 3D, even
though the triangulation is 2D. Thus the triangulation is
constructed in the x-y plane, and the z coordinate is
ignored (although carried through to the output). You can
use the option ProjectionPlaneMode in order to compute the
best-fitting plane to the set of points, project the
points and that plane and then perform the triangulation
using their projected positions and then use it as the
plane in which the triangulation is performed. The
Delaunay triangulation can be numerically sensitive in
some cases. To prevent problems, try to avoid injecting
points that will result in triangles with bad aspect
ratios (1000:1 or greater). In practice this means
inserting points that are "widely dispersed", and enables
smooth transition of triangle sizes throughout the mesh.
(You may even want to add extra points to create a better
point distribution.) If numerical problems are present,
you will see a warning message to this effect at the end
of the triangulation process. Warning: Points arranged on
a regular lattice (termed degenerate cases) can be
triangulated in more than one way (at least according to
the Delaunay criterion). The choice of triangulation (as
implemented by this algorithm) depends on the order of the
input points. The first three points will form a triangle;
other degenerate points will not break this triangle.
Points that are coincident (or nearly so) may be discarded
by the algorithm. This is because the Delaunay
triangulation requires unique input points. The output of
the Delaunay triangulation is supposedly a convex hull. In
certain cases this implementation may not generate the
convex hull.
 
{| class="PropertiesTable" border="1" cellpadding="5"
|-
| '''Property'''
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''
 
|-
|'''Input''' (Input)
|
|
This property specifies the input dataset to the
This property specifies the values at which to compute
Delaunay 2D filter.
isosurfaces/isolines and also the number of such
values.
|
|


|
|
Accepts input of following types:
The value must lie within the range of the selected data array.
* vtkPointSet
|-
|-
|'''ProjectionPlaneMode''' (ProjectionPlaneMode)
|'''Point Merge Method''' (Locator)
|
|
This property determines type of projection plane to use
This property specifies an incremental point locator for
in performing the triangulation.
merging duplicate / coincident points.
|
|
0
 
|
The value(s) is an enumeration of the following:
* XY Plane (0)
* Best-Fitting Plane (2)
|-
|'''Alpha''' (Alpha)
|
The value of this property controls the output of this
filter. For a non-zero alpha value, only edges or triangles contained
within a sphere centered at mesh vertices will be output. Otherwise,
only triangles will be output.
|
0.0
|
|
The value can be one of the following:
* MergePoints (incremental_point_locators)


|-
* IncrementalOctreeMergePoints (incremental_point_locators)
|'''Tolerance''' (Tolerance)
|
This property specifies a tolerance to control
discarding of closely spaced points. This tolerance is specified as a
fraction of the diagonal length of the bounding box of the
points.
|
0.00001
|


|-
* NonMergingPointLocator (incremental_point_locators)
|'''Offset''' (Offset)
|
This property is a multiplier to control the size of the
initial, bounding Delaunay triangulation.
|
1.0
|


|-
|'''BoundingTriangulation''' (BoundingTriangulation)
|
If this property is set to 1, bounding triangulation
points (and associated triangles) are included in the output. These are
introduced as an initial triangulation to begin the triangulation
process. This feature is nice for debugging output.
|
0
|
Accepts boolean values (0 or 1).


|}
|}


==Delaunay 3D==
==Contour Generic Dataset==


Create a 3D Delaunay triangulation of input points. It expects a vtkPointSet as input and produces vtkUnstructuredGrid as output.Delaunay3D is a filter that constructs
Generate isolines or isosurfaces using point scalars.The Generic
a 3D Delaunay triangulation from a list of input points. These points may be
Contour filter computes isolines or isosurfaces using a
represented by any dataset of type vtkPointSet and subclasses. The output of
selected point-centered scalar array. The available scalar
the filter is an unstructured grid dataset. Usually the output is a tetrahedral
arrays are listed in the Scalars menu. The scalar range of
mesh, but if a non-zero alpha distance value is specified (called the "alpha"
the selected array will be displayed. The interface for
value), then only tetrahedra, triangles, edges, and vertices lying within the
adding contour values is very similar to the one for
alpha radius are output. In other words, non-zero alpha values may result in
selecting cut offsets (in the Cut filter). To add a single
arbitrary combinations of tetrahedra, triangles, lines, and vertices. (The
contour value, select the value from the New Value slider
notion of alpha value is derived from Edelsbrunner's work on "alpha shapes".)
in the Add value portion of the interface and click the
The 3D Delaunay triangulation is defined as the triangulation that satisfies
Add button, or press Enter. To instead add several evenly
the Delaunay criterion for n-dimensional simplexes (in this case n=3 and the
spaced contours, use the controls in the Generate range of
simplexes are tetrahedra). This criterion states that a circumsphere of each
values section. Select the number of contour values to
simplex in a triangulation contains only the n+1 defining points of the
generate using the Number of Values slider. The Range
simplex. (See text for more information.) While in two dimensions this
slider controls the interval in which to generate the
translates into an "optimal" triangulation, this is not true in 3D, since a
contour values. Once the number of values and range have
measurement for optimality in 3D is not agreed on. Delaunay triangulations are
been selected, click the Generate button. The new values
used to build topological structures from unorganized (or unstructured) points.
will be added to the Contour Values list. To delete a
The input to this filter is a list of points specified in 3D. (If you wish to
value from the Contour Values list, select the value and
create 2D triangulations see Delaunay2D.) The output is an unstructured grid.
click the Delete button. (If no value is selected, the
The Delaunay triangulation can be numerically sensitive. To prevent problems,
last value in the list will be removed.) Clicking the
try to avoid injecting points that will result in triangles with bad aspect
Delete All button removes all the values in the list. If
ratios (1000:1 or greater). In practice this means inserting points that are
no values are in the Contour Values list when Accept is
"widely dispersed", and enables smooth transition of triangle sizes throughout
pressed, the current value of the New Value slider will be
the mesh. (You may even want to add extra points to create a better point
used. In addition to selecting contour values, you can
distribution.) If numerical problems are present, you will see a warning
also select additional computations to perform. If any of
message to this effect at the end of the triangulation process. Warning: Points
Compute Normals, Compute Gradients, or Compute Scalars is
arranged on a regular lattice (termed degenerate cases) can be triangulated in
selected, the appropriate computation will be performed,
more than one way (at least according to the Delaunay criterion). The choice of
and a corresponding point-centered array will be added to
triangulation (as implemented by this algorithm) depends on the order of the
the output. The Generic Contour filter operates on a
input points. The first four points will form a tetrahedron; other degenerate
generic data set, but the input is required to have at
points (relative to this initial tetrahedron) will not break it. Points that
least one point-centered scalar (single-component) array.
are coincident (or nearly so) may be discarded by the algorithm. This is
The output of this filter is polygonal.
because the Delaunay triangulation requires unique input points. You can
 
control the definition of coincidence with the "Tolerance" instance variable.
{| class="PropertiesTable" border="1" cellpadding="5"
The output of the Delaunay triangulation is supposedly a convex hull. In
|-
certain cases this implementation may not generate the convex hull. This
| '''Property'''
behavior can be controlled by the Offset instance variable. Offset is a
| '''Description'''
multiplier used to control the size of the initial triangulation. The larger
| '''Default Value(s)'''
the offset value, the more likely you will generate a convex hull; and the more
likely you are to see numerical problems. The implementation of this algorithm
varies from the 2D Delaunay algorithm (i.e., Delaunay2D) in an important way.
When points are injected into the triangulation, the search for the enclosing
tetrahedron is quite different. In the 3D case, the closest previously inserted
point point is found, and then the connected tetrahedra are searched to find
the containing one. (In 2D, a "walk" towards the enclosing triangle is
performed.) If the triangulation is Delaunay, then an enclosing tetrahedron
will be found. However, in degenerate cases an enclosing tetrahedron may not be
found and the point will be rejected.
 
{| class="PropertiesTable" border="1" cellpadding="5"
|-
| '''Property'''
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''
| '''Restrictions'''


Line 2,339: Line 2,321:
|'''Input''' (Input)
|'''Input''' (Input)
|
|
This property specifies the input dataset to the
Set the input to the Generic Contour
Delaunay 3D filter.
filter.
|
|


|
|
Accepts input of following types:
Accepts input of following types:
* vtkPointSet
* vtkGenericDataSet
The dataset must contain a field array (point)
 
with 1 component(s).
 
|-
|-
|'''Alpha''' (Alpha)
|'''Contour By''' (SelectInputScalars)
|
|
This property specifies the alpha (or distance) value to
This property specifies the name of the scalar array
control the output of this filter. For a non-zero alpha value, only
from which the contour filter will compute isolines and/or
edges, faces, or tetra contained within the circumsphere (of radius
isosurfaces.
alpha) will be output. Otherwise, only tetrahedra will be
output.
|
0.0
|
|


|-
|'''Tolerance''' (Tolerance)
|
|
This property specifies a tolerance to control
An array of scalars is required.The value must be field array name.
discarding of closely spaced points. This tolerance is specified as a
fraction of the diagonal length of the bounding box of the
points.
|
0.001
|
 
|-
|-
|'''Offset''' (Offset)
|'''ComputeNormals''' (ComputeNormals)
|
|
This property specifies a multiplier to control the size
Select whether to compute normals.
of the initial, bounding Delaunay triangulation.
|
|
2.5
1
|
|
 
Accepts boolean values (0 or 1).
|-
|-
|'''BoundingTriangulation''' (BoundingTriangulation)
|'''ComputeGradients''' (ComputeGradients)
|
|
This boolean controls whether bounding triangulation
Select whether to compute gradients.
points (and associated triangles) are included in the output. (These
are introduced as an initial triangulation to begin the triangulation
process. This feature is nice for debugging output.)
|
|
0
0
|
|
Accepts boolean values (0 or 1).
Accepts boolean values (0 or 1).
|-
|'''ComputeScalars''' (ComputeScalars)
|
Select whether to compute scalars.
|
0
|
Accepts boolean values (0 or 1).
|-
|'''Isosurfaces''' (ContourValues)
|
This property specifies the values at which to compute
isosurfaces/isolines and also the number of such
values.
|
|
The value must lie within the range of the selected data array.
|-
|'''Point Merge Method''' (Locator)
|
This property specifies an incremental point locator for
merging duplicate / coincident points.
|
|
The value can be one of the following:
* MergePoints (incremental_point_locators)
* IncrementalOctreeMergePoints (incremental_point_locators)
* NonMergingPointLocator (incremental_point_locators)


|}
|}


==Descriptive Statistics==
==Convert AMR dataset to Multi-block==


Compute a statistical model of a dataset and/or assess the dataset with a statistical model.
Convert AMR to Multiblock
This filter either computes a statistical model of a dataset or takes
such a model as its second input. Then, the model (however it is
obtained) may optionally be used to assess the input dataset.<p>
This filter computes the min, max, mean, raw moments M2 through M4,
standard deviation, skewness, and kurtosis for each array you
select.<p> The model is simply a univariate Gaussian distribution
with the mean and standard deviation provided. Data is assessed using
this model by detrending the data (i.e., subtracting the mean) and then
dividing by the standard deviation. Thus the assessment is an array whose
entries are the number of standard deviations from the mean that each
input point lies.


{| class="PropertiesTable" border="1" cellpadding="5"
{| class="PropertiesTable" border="1" cellpadding="5"
Line 2,417: Line 2,408:
|'''Input''' (Input)
|'''Input''' (Input)
|
|
The input to the filter. Arrays from this dataset will
This property specifies the input for this
be used for computing statistics and/or assessed by a statistical
filter.
model.
|
|


|
|
Accepts input of following types:
Accepts input of following types:
* vtkImageData
* vtkOverlappingAMR
* vtkStructuredGrid
* vtkPolyData
* vtkUnstructuredGrid
* vtkTable
* vtkGraph
The dataset much contain a field array ()


|-
|}
|'''ModelInput''' (ModelInput)
 
|
==ConvertSelection==
A previously-calculated model with which to assess a
 
separate dataset. This input is optional.
Converts a selection from one type to
|
another.
 
{| class="PropertiesTable" border="1" cellpadding="5"
|-
| '''Property'''
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''
 
|-
|'''DataInput''' (DataInput)
|
Set the vtkDataObject input used to convert the
selection.
|
 
|
Accepts input of following types:
* vtkDataObject
|-
|'''Input''' (Input)
|
Set the selection to convert.
|


|
|
Accepts input of following types:
Accepts input of following types:
* vtkTable
* vtkSelection
* vtkMultiBlockDataSet
|-
|-
|'''AttributeMode''' (AttributeMode)
|'''OutputType''' (OutputType)
|
|
Specify which type of field data the arrays will be
Set the ContentType for the output.
drawn from.
|
|
0
5
|
|
The value must be field array name.
The value(s) is an enumeration of the following:
* SELECTIONS (0)
* GLOBALIDs (1)
* PEDIGREEIDS (2)
* VALUES (3)
* INDICES (4)
* FRUSTUM (5)
* LOCATION (6)
* THRESHOLDS (7)
|-
|-
|'''Variables of Interest''' (SelectArrays)
|'''ArrayNames''' (ArrayNames)
|
|
Choose arrays whose entries will be used to form
 
observations for statistical analysis.
|
|


Line 2,462: Line 2,474:


|-
|-
|'''Task''' (Task)
|'''MatchAnyValues''' (MatchAnyValues)
|
|
Specify the task to be performed: modeling and/or
 
assessment. <ol> <li> "Detailed model of input data,"
creates a set of output tables containing a calculated statistical
model of the <b>entire</b> input dataset;</li>
<li> "Model a subset of the data," creates an output table (or
tables) summarizing a <b>randomly-chosen subset</b> of the
input dataset;</li> <li> "Assess the data with a model,"
adds attributes to the first input dataset using a model provided on
the second input port; and</li> <li> "Model and assess the
same data," is really just operations 2 and 3 above applied to the same
input dataset. The model is first trained using a fraction of the input
data and then the entire dataset is assessed using that
model.</li> </ol> When the task includes creating a model
(i.e., tasks 2, and 4), you may adjust the fraction of the input
dataset used for training. You should avoid using a large fraction of
the input data for training as you will then not be able to detect
overfitting. The <i>Training fraction</i> setting will be
ignored for tasks 1 and 3.
|
3
|
The value(s) is an enumeration of the following:
* Detailed model of input data (0)
* Model a subset of the data (1)
* Assess the data with a model (2)
* Model and assess the same data (3)
|-
|'''TrainingFraction''' (TrainingFraction)
|
Specify the fraction of values from the input dataset to
be used for model fitting. The exact set of values is chosen at random
from the dataset.
|
0.1
|
 
|-
|'''Deviations should be''' (SignedDeviations)
|
Should the assessed values be signed deviations or
unsigned?
|
|
0
0
|
|
The value(s) is an enumeration of the following:
Accepts boolean values (0 or 1).
* Unsigned (0)
* Signed (1)


|}
|}


==Elevation==
==Crop==


Create point attribute array by projecting points onto an elevation vector.
Efficiently extract an area/volume of interest from a 2-d image or 3-d volume.The Crop filter
The Elevation filter generates point scalar values for an
extracts an area/volume of interest from a 2D image or a
input dataset along a specified direction vector. The
3D volume by allowing the user to specify the minimum and
Input menu allows the user to select the data set to which
maximum extents of each dimension of the data. Both the
this filter will be applied. Use the Scalar range entry
input and output of this filter are uniform rectilinear
boxes to specify the minimum and maximum scalar value to
data.
be generated. The Low Point and High Point define a line
onto which each point of the data set is projected. The
minimum scalar value is associated with the Low Point, and
the maximum scalar value is associated with the High
Point. The scalar value for each point in the data set is
determined by the location along the line to which that
point projects.


{| class="PropertiesTable" border="1" cellpadding="5"
{| class="PropertiesTable" border="1" cellpadding="5"
Line 2,540: Line 2,503:
|'''Input''' (Input)
|'''Input''' (Input)
|
|
This property specifies the input dataset to the
This property specifies the input to the Crop
Elevation filter.
filter.
|
|


|
|
Accepts input of following types:
Accepts input of following types:
* vtkDataSet
* vtkImageData
|-
|-
|'''ScalarRange''' (ScalarRange)
|'''OutputWholeExtent''' (OutputWholeExtent)
|
|
This property determines the range into which scalars
This property gives the minimum and maximum point index
will be mapped.
(extent) in each dimension for the output dataset.
|
|
0 1
0 0 0 0 0 0
|
|
 
The value(s) must lie within the structured-extents of the input dataset.
|-
|'''Low Point''' (LowPoint)
|
This property defines one end of the direction vector
(small scalar values).
|
0 0 0
|
 
The value must lie within the bounding box of the dataset.
 
It will default to the min in each dimension.
 
|-
|'''High Point''' (HighPoint)
|
This property defines the other end of the direction
vector (large scalar values).
|
0 0 1
|
 
The value must lie within the bounding box of the dataset.
 
It will default to the max in each dimension.
 


|}
|}


==Extract AMR Blocks==
==Curvature==


This filter extracts a list of datasets from hierarchical datasets.This filter extracts a list
This filter will compute the Gaussian or mean curvature of the mesh at each point.The
of datasets from hierarchical datasets.
Curvature filter computes the curvature at each point in a
polygonal data set. This filter supports both Gaussian and
mean curvatures. ; the type can be selected from the
Curvature type menu button.


{| class="PropertiesTable" border="1" cellpadding="5"
{| class="PropertiesTable" border="1" cellpadding="5"
Line 2,600: Line 2,540:
|'''Input''' (Input)
|'''Input''' (Input)
|
|
This property specifies the input to the Extract
This property specifies the input to the Curvature
Datasets filter.
filter.
|
|


|
|
Accepts input of following types:
Accepts input of following types:
* vtkUniformGridAMR
* vtkPolyData
|-
|-
|'''SelectedDataSets''' (SelectedDataSets)
|'''InvertMeanCurvature''' (InvertMeanCurvature)
|
If this property is set to 1, the mean curvature
calculation will be inverted. This is useful for meshes with
inward-pointing normals.
|
|
This property provides a list of datasets to
0
extract.
|
|
 
Accepts boolean values (0 or 1).
|-
|'''CurvatureType''' (CurvatureType)
|
|
This propery specifies which type of curvature to
compute.
|
0
|
The value(s) is an enumeration of the following:
* Gaussian (0)
* Mean (1)
|}


 
==D3==
|}
 
 
Repartition a data set into load-balanced spatially convex regions. Create ghost cells if requested.The D3 filter is
==Extract Attributes==
available when ParaView is run in parallel. It operates on
 
any type of data set to evenly divide it across the
Extract attribute data as a table.This is a
processors into spatially contiguous regions. The output
filter that produces a vtkTable from the chosen attribute
of this filter is of type unstructured
in the input dataobject. This filter can accept composite
grid.
datasets. If the input is a composite dataset, the output
is a multiblock with vtkTable leaves.


{| class="PropertiesTable" border="1" cellpadding="5"
{| class="PropertiesTable" border="1" cellpadding="5"
Line 2,637: Line 2,590:
|'''Input''' (Input)
|'''Input''' (Input)
|
|
This property specifies the input of the
This property specifies the input to the D3
filter.
filter.
|
|
Line 2,643: Line 2,596:
|
|
Accepts input of following types:
Accepts input of following types:
* vtkDataObject
* vtkDataSet
|-
|-
|'''FieldAssociation''' (FieldAssociation)
|'''BoundaryMode''' (BoundaryMode)
|
|
Select the attribute data to pass.
This property determines how cells that lie on processor
boundaries are handled. The "Assign cells uniquely" option assigns each
boundary cell to exactly one process, which is useful for isosurfacing.
Selecting "Duplicate cells" causes the cells on the boundaries to be
copied to each process that shares that boundary. The "Divide cells"
option breaks cells across process boundary lines so that pieces of the
cell lie in different processes. This option is useful for volume
rendering.
|
|
0
0
|
|
The value(s) is an enumeration of the following:
The value(s) is an enumeration of the following:
* Points (0)
* Assign cells uniquely (0)
* Cells (1)
* Duplicate cells (1)
* Field Data (2)
* Divide cells (2)
* Vertices (4)
* Edges (5)
* Rows (6)
|-
|-
|'''AddMetaData''' (AddMetaData)
|'''Minimal Memory''' (UseMinimalMemory)
|
|
It is possible for this filter to add additional
If this property is set to 1, the D3 filter requires
meta-data to the field data such as point coordinates (when point
communication routines to use minimal memory than without this
attributes are selected and input is pointset) or structured
restriction.
coordinates etc. To enable this addition of extra information, turn
this flag on. Off by default.
|
|
0
0
Line 2,673: Line 2,628:
|}
|}


==Extract Block==
==Decimate==


This filter extracts a range of blocks from a multiblock dataset.This filter extracts a range
Simplify a polygonal model using an adaptive edge collapse algorithm. This filter works with triangles only.
of groups from a multiblock dataset
The Decimate filter reduces the number of triangles in a
polygonal data set. Because this filter only operates on
triangles, first run the Triangulate filter on a dataset
that contains polygons other than
triangles.


{| class="PropertiesTable" border="1" cellpadding="5"
{| class="PropertiesTable" border="1" cellpadding="5"
Line 2,688: Line 2,647:
|'''Input''' (Input)
|'''Input''' (Input)
|
|
This property specifies the input to the Extract Group
This property specifies the input to the Decimate
filter.
filter.
|
|
Line 2,694: Line 2,653:
|
|
Accepts input of following types:
Accepts input of following types:
* vtkMultiBlockDataSet
* vtkPolyData
|-
|-
|'''BlockIndices''' (BlockIndices)
|'''TargetReduction''' (TargetReduction)
|
|
This property lists the ids of the blocks to extract
This property specifies the desired reduction in the
from the input multiblock dataset.
total number of polygons in the output dataset. For example, if the
TargetReduction value is 0.9, the Decimate filter will attempt to
produce an output dataset that is 10% the size of the
input.)
|
|
 
0.9
|
|


|-
|-
|'''PruneOutput''' (PruneOutput)
|'''PreserveTopology''' (PreserveTopology)
|
|
When set, the output mutliblock dataset will be pruned
If this property is set to 1, decimation will not split
to remove empty nodes. On by default.
the dataset or produce holes, but it may keep the filter from reaching
the reduction target. If it is set to 0, better reduction can occur
(reaching the reduction target), but holes in the model may be
produced.
|
|
1
0
|
|
Accepts boolean values (0 or 1).
Accepts boolean values (0 or 1).
|-
|-
|'''MaintainStructure''' (MaintainStructure)
|'''FeatureAngle''' (FeatureAngle)
|
The value of this property is used in determining where
the data set may be split. If the angle between two adjacent triangles
is greater than or equal to the FeatureAngle value, then their boundary
is considered a feature edge where the dataset can be
split.
|
15.0
|
 
|-
|'''BoundaryVertexDeletion''' (BoundaryVertexDeletion)
|
|
This is used only when PruneOutput is ON. By default,
If this property is set to 1, then vertices on the
when pruning the output i.e. remove empty blocks, if node has only 1
boundary of the dataset can be removed. Setting the value of this
non-null child block, then that node is removed. To preserve these
property to 0 preserves the boundary of the dataset, but it may cause
parent nodes, set this flag to true.
the filter not to reach its reduction target.
|
|
0
1
|
|
Accepts boolean values (0 or 1).
Accepts boolean values (0 or 1).
Line 2,727: Line 2,704:
|}
|}


==Extract CTH Parts==
==Delaunay 2D==


Create a surface from a CTH volume fraction.Extract
Create 2D Delaunay triangulation of input points. It expects a vtkPointSet as input and produces vtkPolyData as output. The points are expected to be in a mostly planar distribution.
CTH Parts is a specialized filter for visualizing the data
Delaunay2D is a filter that constructs a 2D Delaunay
from a CTH simulation. It first converts the selected
triangulation from a list of input points. These points
cell-centered arrays to point-centered ones. It then
may be represented by any dataset of type vtkPointSet and
contours each array at a value of 0.5. The user has the
subclasses. The output of the filter is a polygonal
option of clipping the resulting surface(s) with a plane.
dataset containing a triangle mesh. The 2D Delaunay
This filter only operates on unstructured data. It
triangulation is defined as the triangulation that
produces polygonal output.
satisfies the Delaunay criterion for n-dimensional
simplexes (in this case n=2 and the simplexes are
triangles). This criterion states that a circumsphere of
each simplex in a triangulation contains only the n+1
defining points of the simplex. In two dimensions, this
translates into an optimal triangulation. That is, the
maximum interior angle of any triangle is less than or
equal to that of any possible triangulation. Delaunay
triangulations are used to build topological structures
from unorganized (or unstructured) points. The input to
this filter is a list of points specified in 3D, even
though the triangulation is 2D. Thus the triangulation is
constructed in the x-y plane, and the z coordinate is
ignored (although carried through to the output). You can
use the option ProjectionPlaneMode in order to compute the
best-fitting plane to the set of points, project the
points and that plane and then perform the triangulation
using their projected positions and then use it as the
plane in which the triangulation is performed. The
Delaunay triangulation can be numerically sensitive in
some cases. To prevent problems, try to avoid injecting
points that will result in triangles with bad aspect
ratios (1000:1 or greater). In practice this means
inserting points that are "widely dispersed", and enables
smooth transition of triangle sizes throughout the mesh.
(You may even want to add extra points to create a better
point distribution.) If numerical problems are present,
you will see a warning message to this effect at the end
of the triangulation process. Warning: Points arranged on
a regular lattice (termed degenerate cases) can be
triangulated in more than one way (at least according to
the Delaunay criterion). The choice of triangulation (as
implemented by this algorithm) depends on the order of the
input points. The first three points will form a triangle;
other degenerate points will not break this triangle.
Points that are coincident (or nearly so) may be discarded
by the algorithm. This is because the Delaunay
triangulation requires unique input points. The output of
the Delaunay triangulation is supposedly a convex hull. In
certain cases this implementation may not generate the
convex hull.


{| class="PropertiesTable" border="1" cellpadding="5"
{| class="PropertiesTable" border="1" cellpadding="5"
Line 2,748: Line 2,765:
|'''Input''' (Input)
|'''Input''' (Input)
|
|
This property specifies the input to the Extract CTH
This property specifies the input dataset to the
Parts filter.
Delaunay 2D filter.
|
|


|
|
Accepts input of following types:
Accepts input of following types:
* vtkDataSet
* vtkPointSet
The dataset much contain a field array (cell)
 
with 1 component(s).
 
|-
|-
|'''Clip Type''' (ClipPlane)
|'''ProjectionPlaneMode''' (ProjectionPlaneMode)
|
|
This property specifies whether to clip the dataset, and
This property determines type of projection plane to use
if so, it also specifies the parameters of the plane with which to
in performing the triangulation.
clip.
|
|
 
0
|
|
The value can be one of the following:
The value(s) is an enumeration of the following:
* None (implicit_functions)
* XY Plane (0)
 
* Best-Fitting Plane (2)
* Plane (implicit_functions)
 
* Box (implicit_functions)
 
* Sphere (implicit_functions)
 
|-
|-
|'''Double Volume Arrays''' (AddDoubleVolumeArrayName)
|'''Alpha''' (Alpha)
|
The value of this property controls the output of this
filter. For a non-zero alpha value, only edges or triangles contained
within a sphere centered at mesh vertices will be output. Otherwise,
only triangles will be output.
|
|
This property specifies the name(s) of the volume
0.0
fraction array(s) for generating parts.
|
|


|-
|'''Tolerance''' (Tolerance)
|
|
An array of scalars is required.
This property specifies a tolerance to control
|-
discarding of closely spaced points. This tolerance is specified as a
|'''Float Volume Arrays''' (AddFloatVolumeArrayName)
fraction of the diagonal length of the bounding box of the
points.
|
|
This property specifies the name(s) of the volume
0.00001
fraction array(s) for generating parts.
|
|


|-
|'''Offset''' (Offset)
|
|
An array of scalars is required.
This property is a multiplier to control the size of the
|-
initial, bounding Delaunay triangulation.
|'''Unsigned Character Volume Arrays''' (AddUnsignedCharVolumeArrayName)
|
|
This property specifies the name(s) of the volume
1.0
fraction array(s) for generating parts.
|
|


|
An array of scalars is required.
|-
|-
|'''Volume Fraction Value''' (VolumeFractionSurfaceValue)
|'''BoundingTriangulation''' (BoundingTriangulation)
|
|
The value of this property is the volume fraction value
If this property is set to 1, bounding triangulation
for the surface.
points (and associated triangles) are included in the output. These are
introduced as an initial triangulation to begin the triangulation
process. This feature is nice for debugging output.
|
|
0.1
0
|
|
 
Accepts boolean values (0 or 1).


|}
|}


==Extract Cells By Region==
==Delaunay 3D==


This filter extracts cells that are inside/outside a region or at a region boundary.
Create a 3D Delaunay triangulation of input points. It expects a vtkPointSet as input and produces vtkUnstructuredGrid as output.Delaunay3D is a filter that constructs
This filter extracts from its input dataset all cells that are either
a 3D Delaunay triangulation from a list of input points. These points may be
completely inside or outside of a specified region (implicit function).
represented by any dataset of type vtkPointSet and subclasses. The output of
On output, the filter generates an unstructured grid. To use this filter
the filter is an unstructured grid dataset. Usually the output is a tetrahedral
you must specify a region (implicit function). You must also specify
mesh, but if a non-zero alpha distance value is specified (called the "alpha"
whethter to extract cells lying inside or outside of the region. An
value), then only tetrahedra, triangles, edges, and vertices lying within the
option exists to extract cells that are neither inside or outside (i.e.,
alpha radius are output. In other words, non-zero alpha values may result in
boundary).
arbitrary combinations of tetrahedra, triangles, lines, and vertices. (The
notion of alpha value is derived from Edelsbrunner's work on "alpha shapes".)
The 3D Delaunay triangulation is defined as the triangulation that satisfies
the Delaunay criterion for n-dimensional simplexes (in this case n=3 and the
simplexes are tetrahedra). This criterion states that a circumsphere of each
simplex in a triangulation contains only the n+1 defining points of the
simplex. (See text for more information.) While in two dimensions this
translates into an "optimal" triangulation, this is not true in 3D, since a
measurement for optimality in 3D is not agreed on. Delaunay triangulations are
used to build topological structures from unorganized (or unstructured) points.
The input to this filter is a list of points specified in 3D. (If you wish to
create 2D triangulations see Delaunay2D.) The output is an unstructured grid.
The Delaunay triangulation can be numerically sensitive. To prevent problems,
try to avoid injecting points that will result in triangles with bad aspect
ratios (1000:1 or greater). In practice this means inserting points that are
"widely dispersed", and enables smooth transition of triangle sizes throughout
the mesh. (You may even want to add extra points to create a better point
distribution.) If numerical problems are present, you will see a warning
message to this effect at the end of the triangulation process. Warning: Points
arranged on a regular lattice (termed degenerate cases) can be triangulated in
more than one way (at least according to the Delaunay criterion). The choice of
triangulation (as implemented by this algorithm) depends on the order of the
input points. The first four points will form a tetrahedron; other degenerate
points (relative to this initial tetrahedron) will not break it. Points that
are coincident (or nearly so) may be discarded by the algorithm. This is
because the Delaunay triangulation requires unique input points. You can
control the definition of coincidence with the "Tolerance" instance variable.
The output of the Delaunay triangulation is supposedly a convex hull. In
certain cases this implementation may not generate the convex hull. This
behavior can be controlled by the Offset instance variable. Offset is a
multiplier used to control the size of the initial triangulation. The larger
the offset value, the more likely you will generate a convex hull; and the more
likely you are to see numerical problems. The implementation of this algorithm
varies from the 2D Delaunay algorithm (i.e., Delaunay2D) in an important way.
When points are injected into the triangulation, the search for the enclosing
tetrahedron is quite different. In the 3D case, the closest previously inserted
point point is found, and then the connected tetrahedra are searched to find
the containing one. (In 2D, a "walk" towards the enclosing triangle is
performed.) If the triangulation is Delaunay, then an enclosing tetrahedron
will be found. However, in degenerate cases an enclosing tetrahedron may not be
found and the point will be rejected.


{| class="PropertiesTable" border="1" cellpadding="5"
{| class="PropertiesTable" border="1" cellpadding="5"
Line 2,837: Line 2,889:
|'''Input''' (Input)
|'''Input''' (Input)
|
|
This property specifies the input to the Slice
This property specifies the input dataset to the
filter.
Delaunay 3D filter.
|
|


|
|
Accepts input of following types:
Accepts input of following types:
* vtkDataSet
* vtkPointSet
|-
|-
|'''Intersect With''' (ImplicitFunction)
|'''Alpha''' (Alpha)
|
This property specifies the alpha (or distance) value to
control the output of this filter. For a non-zero alpha value, only
edges, faces, or tetra contained within the circumsphere (of radius
alpha) will be output. Otherwise, only tetrahedra will be
output.
|
|
This property sets the region used to extract
0.0
cells.
|
|


|-
|'''Tolerance''' (Tolerance)
|
This property specifies a tolerance to control
discarding of closely spaced points. This tolerance is specified as a
fraction of the diagonal length of the bounding box of the
points.
|
0.001
|
|
The value can be one of the following:
* Plane (implicit_functions)
* Box (implicit_functions)


* Sphere (implicit_functions)
|-
|'''Offset''' (Offset)
|
This property specifies a multiplier to control the size
of the initial, bounding Delaunay triangulation.
|
2.5
|


|-
|-
|'''InputBounds''' (InputBounds)
|'''BoundingTriangulation''' (BoundingTriangulation)
|
This boolean controls whether bounding triangulation
points (and associated triangles) are included in the output. (These
are introduced as an initial triangulation to begin the triangulation
process. This feature is nice for debugging output.)
|
0
|
Accepts boolean values (0 or 1).
|-
|'''AlphaTets''' (AlphaTets)
|
|
 
This boolean controls whether tetrahedrons which satisfy
the alpha criterion output when alpha is non-zero.
|
|
 
1
|
|
 
Accepts boolean values (0 or 1).
|-
|-
|'''Extraction Side''' (ExtractInside)
|'''AlphaTris''' (AlphaTris)
|
|
This parameter controls whether to extract cells that
This boolean controls whether triangles which satisfy
are inside or outside the region.
the alpha criterion output when alpha is non-zero.
|
|
1
1
|
|
The value(s) is an enumeration of the following:
Accepts boolean values (0 or 1).
* outside (0)
* inside (1)
|-
|-
|'''Extract only intersected''' (Extract only intersected)
|'''AlphaLines''' (AlphaLines)
|
|
This parameter controls whether to extract only cells
This boolean controls whether lines which satisfy the
that are on the boundary of the region. If this parameter is set, the
alpha criterion output when alpha is non-zero.
Extraction Side parameter is ignored. If Extract Intersected is off,
this parameter has no effect.
|
|
0
0
Line 2,890: Line 2,967:
Accepts boolean values (0 or 1).
Accepts boolean values (0 or 1).
|-
|-
|'''Extract intersected''' (Extract intersected)
|'''AlphaVerts''' (AlphaVerts)
|
|
This parameter controls whether to extract cells that
This boolean controls whether vertices which satisfy the
are on the boundary of the region.
alpha criterion are output when alpha is non-zero.
|
|
0
0
Line 2,901: Line 2,978:
|}
|}


==Extract Edges==
==Descriptive Statistics==


Extract edges of 2D and 3D cells as lines.The Extract Edges
Compute a statistical model of a dataset and/or assess the dataset with a statistical model.
filter produces a wireframe version of the input dataset
This filter either computes a statistical model of a dataset or takes
by extracting all the edges of the dataset's cells as
such a model as its second input. Then, the model (however it is
lines. This filter operates on any type of data set and
obtained) may optionally be used to assess the input dataset.<p>
produces polygonal output.
This filter computes the min, max, mean, raw moments M2 through M4,
 
standard deviation, skewness, and kurtosis for each array you
{| class="PropertiesTable" border="1" cellpadding="5"
select.<p> The model is simply a univariate Gaussian distribution
with the mean and standard deviation provided. Data is assessed using
this model by detrending the data (i.e., subtracting the mean) and then
dividing by the standard deviation. Thus the assessment is an array whose
entries are the number of standard deviations from the mean that each
input point lies.
 
{| class="PropertiesTable" border="1" cellpadding="5"
|-
|-
| '''Property'''
| '''Property'''
Line 2,919: Line 3,003:
|'''Input''' (Input)
|'''Input''' (Input)
|
|
This property specifies the input to the Extract Edges
The input to the filter. Arrays from this dataset will
filter.
be used for computing statistics and/or assessed by a statistical
model.
|
|


|
|
Accepts input of following types:
Accepts input of following types:
* vtkDataSet
* vtkImageData
 
* vtkStructuredGrid
|}
* vtkPolyData
 
* vtkUnstructuredGrid
==Extract Generic Dataset Surface==
* vtkTable
 
* vtkGraph
Extract geometry from a higher-order dataset
The dataset must contain a field array ()
Extract geometry from a higher-order
dataset.


{| class="PropertiesTable" border="1" cellpadding="5"
|-
|-
| '''Property'''
|'''ModelInput''' (ModelInput)
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''
 
|-
|'''Input''' (Input)
|
|
Set the input to the Generic Geometry
A previously-calculated model with which to assess a
Filter.
separate dataset. This input is optional.
|
|


|
|
Accepts input of following types:
Accepts input of following types:
* vtkGenericDataSet
* vtkTable
* vtkMultiBlockDataSet
|-
|-
|'''PassThroughCellIds''' (PassThroughCellIds)
|'''AttributeMode''' (AttributeMode)
|
Specify which type of field data the arrays will be
drawn from.
|
0
|
|
Select whether to forward original ids.
The value must be field array name.
|-
|'''Variables of Interest''' (SelectArrays)
|
|
1
Choose arrays whose entries will be used to form
observations for statistical analysis.
|
|
Accepts boolean values (0 or 1).


|}
|
 
==Extract Level==
 
This filter extracts a range of groups from a hierarchical dataset.This filter extracts a range
of levels from a hierarchical dataset


{| class="PropertiesTable" border="1" cellpadding="5"
|-
|-
| '''Property'''
|'''Task''' (Task)
| '''Description'''
|
| '''Default Value(s)'''
Specify the task to be performed: modeling and/or
| '''Restrictions'''
assessment. <ol> <li> "Detailed model of input data,"
 
creates a set of output tables containing a calculated statistical
model of the <b>entire</b> input dataset;</li>
<li> "Model a subset of the data," creates an output table (or
tables) summarizing a <b>randomly-chosen subset</b> of the
input dataset;</li> <li> "Assess the data with a model,"
adds attributes to the first input dataset using a model provided on
the second input port; and</li> <li> "Model and assess the
same data," is really just operations 2 and 3 above applied to the same
input dataset. The model is first trained using a fraction of the input
data and then the entire dataset is assessed using that
model.</li> </ol> When the task includes creating a model
(i.e., tasks 2, and 4), you may adjust the fraction of the input
dataset used for training. You should avoid using a large fraction of
the input data for training as you will then not be able to detect
overfitting. The <i>Training fraction</i> setting will be
ignored for tasks 1 and 3.
|
3
|
The value(s) is an enumeration of the following:
* Detailed model of input data (0)
* Model a subset of the data (1)
* Assess the data with a model (2)
* Model and assess the same data (3)
|-
|-
|'''Input''' (Input)
|'''TrainingFraction''' (TrainingFraction)
|
Specify the fraction of values from the input dataset to
be used for model fitting. The exact set of values is chosen at random
from the dataset.
|
|
This property specifies the input to the Extract Group
0.1
filter.
|
|


|
Accepts input of following types:
* vtkUniformGridAMR
|-
|-
|'''Levels''' (Levels)
|'''Deviations should be''' (SignedDeviations)
|
|
This property lists the levels to extract from the input
Should the assessed values be signed deviations or
hierarchical dataset.
unsigned?
|
|
 
0
|
|
 
The value(s) is an enumeration of the following:
* Unsigned (0)
* Signed (1)


|}
|}


==Extract Selection==
==Elevation==


Extract different type of selections.This
Create point attribute array by projecting points onto an elevation vector.
filter extracts a set of cells/points given a selection.
The Elevation filter generates point scalar values for an
The selection can be obtained from a rubber-band selection
input dataset along a specified direction vector. The
(either cell, visible or in a frustum) or threshold
Input menu allows the user to select the data set to which
selection and passed to the filter or specified by
this filter will be applied. Use the Scalar range entry
providing an ID list.
boxes to specify the minimum and maximum scalar value to
be generated. The Low Point and High Point define a line
onto which each point of the data set is projected. The
minimum scalar value is associated with the Low Point, and
the maximum scalar value is associated with the High
Point. The scalar value for each point in the data set is
determined by the location along the line to which that
point projects.


{| class="PropertiesTable" border="1" cellpadding="5"
{| class="PropertiesTable" border="1" cellpadding="5"
Line 3,016: Line 3,126:
|'''Input''' (Input)
|'''Input''' (Input)
|
|
This property specifies the input from which the
This property specifies the input dataset to the
selection is extracted.
Elevation filter.
|
|


Line 3,023: Line 3,133:
Accepts input of following types:
Accepts input of following types:
* vtkDataSet
* vtkDataSet
* vtkTable
|-
|-
|'''Selection''' (Selection)
|'''ScalarRange''' (ScalarRange)
|
This property determines the range into which scalars
will be mapped.
|
|
The input that provides the selection
0 1
object.
|
|


|
Accepts input of following types:
* vtkSelection
|-
|-
|'''PreserveTopology''' (PreserveTopology)
|'''Low Point''' (LowPoint)
|
|
If this property is set to 1 the output preserves the
This property defines one end of the direction vector
topology of its input and adds an insidedness array to mark which cells
(small scalar values).
are inside or out. If 0 then the output is an unstructured grid which
contains only the subset of cells that are inside.
|
|
0
0 0 0
|
|
Accepts boolean values (0 or 1).
 
The value must lie within the bounding box of the dataset.
 
It will default to the min in each dimension.
 
|-
|-
|'''ShowBounds''' (ShowBounds)
|'''High Point''' (HighPoint)
|
|
For frustum selection, if this property is set to 1 the
This property defines the other end of the direction
output is the outline of the frustum instead of the contents of the
vector (large scalar values).
input that lie within the frustum.
|
|
0
0 0 1
|
|
Accepts boolean values (0 or 1).
 
The value must lie within the bounding box of the dataset.
 
It will default to the max in each dimension.
 


|}
|}


==Extract Selection (internal)==
==Environment Annotation==
 
Allows annotation of user name, date/time, OS, and possibly filename.
Apply to any source. Gui allows manual selection of desired annotation options.
If the source is a file, can display the filename.


This filter extracts a given set of cells or points given
a selection. The selection can be obtained from a rubber-band selection
(either point, cell, visible or in a frustum) and passed to the filter or
specified by providing an ID list. This is an internal filter, use
"ExtractSelection" instead.


{| class="PropertiesTable" border="1" cellpadding="5"
{| class="PropertiesTable" border="1" cellpadding="5"
Line 3,076: Line 3,188:
|'''Input''' (Input)
|'''Input''' (Input)
|
|
The input from which the selection is
Set the input of the filter.
extracted.
|
|


|
|
Accepts input of following types:
Accepts input of following types:
* vtkDataSet
* vtkDataObject
|-
|'''DisplayUserName''' (DisplayUserName)
|
 
Toggle User Name Visibility.
 
|
0
|
Accepts boolean values (0 or 1).
|-
|'''DisplaySystemName''' (DisplaySystemName)
|
 
Toggle System Name Visibility.
 
|
0
|
Accepts boolean values (0 or 1).
|-
|'''DisplayDate''' (DisplayDate)
|
 
Toggle Date/Time Visibility.
 
|
0
|
Accepts boolean values (0 or 1).
|-
|'''DisplayFileName''' (DisplayFileName)
|
 
Toggle File Name Visibility.
 
|
0
|
Accepts boolean values (0 or 1).
|-
|-
|'''Selection''' (Selection)
|'''FileName''' (FileName)
|
|
The input that provides the selection
Annotation of file name.
object.
|
|


|
|
Accepts input of following types:
 
* vtkSelection


|}
|}


==Extract Subset==
==Extract AMR Blocks==


Extract a subgrid from a structured grid with the option of setting subsample strides.The Extract
This filter extracts a list of datasets from hierarchical datasets.This filter extracts a list
Grid filter returns a subgrid of a structured input data
of datasets from hierarchical datasets.
set (uniform rectilinear, curvilinear, or nonuniform
rectilinear). The output data set type of this filter is
the same as the input type.


{| class="PropertiesTable" border="1" cellpadding="5"
{| class="PropertiesTable" border="1" cellpadding="5"
Line 3,114: Line 3,260:
|'''Input''' (Input)
|'''Input''' (Input)
|
|
This property specifies the input to the Extract Grid
This property specifies the input to the Extract
filter.
Datasets filter.
|
|


|
|
Accepts input of following types:
Accepts input of following types:
* vtkImageData
* vtkUniformGridAMR
* vtkRectilinearGrid
* vtkStructuredPoints
* vtkStructuredGrid
|-
|-
|'''VOI''' (VOI)
|'''SelectedDataSets''' (SelectedDataSets)
|
|
This property specifies the minimum and maximum point
This property provides a list of datasets to
indices along each of the I, J, and K axes; these values indicate the
extract.
volume of interest (VOI). The output will have the (I,J,K) extent
specified here.
|
0 0 0 0 0 0
|
The value(s) must lie within the structured-extents of the input dataset.
|-
|'''SampleRateI''' (SampleRateI)
|
This property indicates the sampling rate in the I
dimension. A value grater than 1 results in subsampling; every nth
index will be included in the output.
|
1
|
|


|-
|'''SampleRateJ''' (SampleRateJ)
|
This property indicates the sampling rate in the J
dimension. A value grater than 1 results in subsampling; every nth
index will be included in the output.
|
1
|
|-
|'''SampleRateK''' (SampleRateK)
|
This property indicates the sampling rate in the K
dimension. A value grater than 1 results in subsampling; every nth
index will be included in the output.
|
1
|
|


|-
|'''IncludeBoundary''' (IncludeBoundary)
|
If the value of this property is 1, then if the sample
rate in any dimension is greater than 1, the boundary indices of the
input dataset will be passed to the output even if the boundary extent
is not an even multiple of the sample rate in a given
dimension.
|
0
|
Accepts boolean values (0 or 1).


|}
|}


==Extract Surface==
==Extract Attributes==


Extract a 2D boundary surface using neighbor relations to eliminate internal faces.The Extract
Extract attribute data as a table.This is a
Surface filter extracts the polygons forming the outer
filter that produces a vtkTable from the chosen attribute
surface of the input dataset. This filter operates on any
in the input dataobject. This filter can accept composite
type of data and produces polygonal data as
datasets. If the input is a composite dataset, the output
output.
is a multiblock with vtkTable leaves.


{| class="PropertiesTable" border="1" cellpadding="5"
{| class="PropertiesTable" border="1" cellpadding="5"
Line 3,198: Line 3,297:
|'''Input''' (Input)
|'''Input''' (Input)
|
|
This property specifies the input to the Extract Surface
This property specifies the input of the
filter.
filter.
|
|
Line 3,204: Line 3,303:
|
|
Accepts input of following types:
Accepts input of following types:
* vtkDataSet
* vtkDataObject
|-
|-
|'''PieceInvariant''' (PieceInvariant)
|'''FieldAssociation''' (FieldAssociation)
|
Select the attribute data to pass.
|
|
If the value of this property is set to 1, internal
0
surfaces along process boundaries will be removed. NOTE: Enabling this
option might cause multiple executions of the data source because more
information is needed to remove internal surfaces.
|
|
1
The value(s) is an enumeration of the following:
|
* Points (0)
Accepts boolean values (0 or 1).
* Cells (1)
* Field Data (2)
* Vertices (4)
* Edges (5)
* Rows (6)
|-
|-
|'''NonlinearSubdivisionLevel''' (NonlinearSubdivisionLevel)
|'''AddMetaData''' (AddMetaData)
|
|
If the input is an unstructured grid with nonlinear
It is possible for this filter to add additional
faces, this parameter determines how many times the face is subdivided
meta-data to the field data such as point coordinates (when point
into linear faces. If 0, the output is the equivalent of its linear
attributes are selected and input is pointset) or structured
couterpart (and the midpoints determining the nonlinear interpolation
coordinates etc. To enable this addition of extra information, turn
are discarded). If 1, the nonlinear face is triangulated based on the
this flag on. Off by default.
midpoints. If greater than 1, the triangulated pieces are recursively
subdivided to reach the desired subdivision. Setting the value to
greater than 1 may cause some point data to not be passed even if no
quadratic faces exist. This option has no effect if the input is not an
unstructured grid.
|
|
1
0
|
|
 
Accepts boolean values (0 or 1).


|}
|}


==FOF/SOD Halo Finder==
==Extract Bag Plots==
 


Extract Bag Plots.


{| class="PropertiesTable" border="1" cellpadding="5"
{| class="PropertiesTable" border="1" cellpadding="5"
Line 3,250: Line 3,347:
|'''Input''' (Input)
|'''Input''' (Input)
|
|
This property specifies the input of the
This property specifies the input to the
filter.
filter.
|
|
Line 3,256: Line 3,353:
|
|
Accepts input of following types:
Accepts input of following types:
* vtkUnstructuredGrid
* vtkTable
The dataset must contain a field array (row)
 
with 1 component(s).
 
|-
|-
|'''rL (physical box side length)''' (RL)
|'''Variables of Interest''' (SelectArrays)
|
|
The box side length used to wrap particles around if
Choose arrays whose entries will be used to form
they exceed rL (or less than 0) in any dimension (only positive
observations for statistical analysis.
positions are allowed in the input, or they are wrapped
around).
|
|
100
 
|
|


|-
|-
|'''overlap (shared point/ghost cell gap distance)''' (Overlap)
|'''Process the transposed of the input table''' (TransposeTable)
|
|
The space (in rL units) to extend processor particle
This flag indicates if the input table must
ownership for ghost particles/cells. Needed for correct halo
be transposed first.
calculation when halos cross processor boundaries in parallel
computation.
|
|
5
1
|
|
 
Accepts boolean values (0 or 1).
|-
|-
|'''np (number of seeded particles in one dimension, i.e., total particles = np^3)''' (NP)
|'''RobustPCA''' (RobustPCA)
|
|
Number of seeded particles in one dimension. Therefore,
This flag indicates if the PCA should be run
total simulation particles is np^3 (cubed).
in robust mode or not.
|
|
256
0
|
|
 
Accepts boolean values (0 or 1).
|-
|-
|'''bb (linking length)''' (BB)
|'''HDR smoothing parameter''' (Sigma)
|
|
Linking length measured in units of interparticle
Specify the smoothing parameter of the
spacing and is dimensionless. Used to link particles into halos for the
HDR.
friends-of-friends (FOF) algorithm.
|
|
0.20
1
|
|


|-
|-
|'''pmin (minimum particle threshold for an FOF halo)''' (PMin)
|'''GridSize''' (GridSize)
|
|
Minimum number of particles (threshold) needed before a
 
group is called a friends-of-friends (FOF) halo.
Width and height of the grid image to perform the PCA on.
 
|
|
100
100
|
|


|}
==Extract Block==
This filter extracts a range of blocks from a multiblock dataset.This filter extracts a range
of groups from a multiblock dataset
{| class="PropertiesTable" border="1" cellpadding="5"
|-
|-
|'''Copy FOF halo catalog to original particles''' (CopyHaloDataToParticles)
| '''Property'''
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''
 
|-
|'''Input''' (Input)
|
|
If checked, the friends-of-friends (FOF) halo catalog
This property specifies the input to the Extract Group
information will be copied to the original particles as
filter.
well.
|
|
0
 
|
|
Accepts boolean values (0 or 1).
Accepts input of following types:
* vtkMultiBlockDataSet
|-
|-
|'''Compute the most bound particle''' (ComputeMostBoundParticle)
|'''BlockIndices''' (BlockIndices)
|
|
If checked, the most bound particle for an FOF halo will
This property lists the ids of the blocks to extract
be calculated. WARNING: This can be very slow.
from the input multiblock dataset.
|
|
0
 
|
|
Accepts boolean values (0 or 1).
 
|-
|-
|'''Compute the most connected particle''' (ComputeMostConnectedParticle)
|'''PruneOutput''' (PruneOutput)
|
|
If checked, the most connected particle for an FOF halo
When set, the output mutliblock dataset will be pruned
will be calculated. WARNING: This can be very slow.
to remove empty nodes. On by default.
|
|
0
1
|
|
Accepts boolean values (0 or 1).
Accepts boolean values (0 or 1).
|-
|-
|'''Compute spherical overdensity (SOD) halos''' (ComputeSOD)
|'''MaintainStructure''' (MaintainStructure)
|
|
If checked, spherical overdensity (SOD) halos will be
This is used only when PruneOutput is ON. By default,
calculated in addition to friends-of-friends (FOF)
when pruning the output i.e. remove empty blocks, if node has only 1
halos.
non-null child block, then that node is removed. To preserve these
parent nodes, set this flag to true.
|
|
0
0
|
|
Accepts boolean values (0 or 1).
Accepts boolean values (0 or 1).
|}
==Extract CTH Parts==
Create a surface from a CTH volume fraction.Extract
CTH Parts is a specialized filter for visualizing the data
from a CTH simulation. It first converts the selected
cell-centered arrays to point-centered ones. It then
contours each array at a value of 0.5. The user has the
option of clipping the resulting surface(s) with a plane.
This filter only operates on unstructured data. It
produces polygonal output.
{| class="PropertiesTable" border="1" cellpadding="5"
|-
|-
|'''initial SOD center''' (SODCenterType)
| '''Property'''
|
| '''Description'''
The initial friends-of-friends (FOF) center used for
| '''Default Value(s)'''
calculating a spherical overdensity (SOD) halo. WARNING: Using MBP or
| '''Restrictions'''
MCP can be very slow.
 
|
0
|
The value(s) is an enumeration of the following:
* Center of mass (0)
* Average position (1)
* Most bound particle (2)
* Most connected particle (3)
|-
|-
|'''rho_c''' (RhoC)
|'''Input''' (Input)
|
|
rho_c (critical density) for SOD halo
This property specifies the input to the Extract CTH
finding.
Parts filter.
|
|
2.77536627e11
 
|
|
Accepts input of following types:
* vtkDataSet
The dataset must contain a field array (cell)
with 1 component(s).


|-
|-
|'''initial SOD mass''' (SODMass)
|'''Clip Type''' (ClipPlane)
|
|
The initial SOD mass.
This property specifies whether to clip the dataset, and
if so, it also specifies the parameters of the plane with which to
clip.
|
|
1.0e14
 
|
|
The value can be one of the following:
* None (implicit_functions)
* Plane (implicit_functions)


|-
|-
|'''minimum radius factor''' (MinRadiusFactor)
|'''Volume Arrays''' (VolumeArrays)
|
|
Minimum radius factor for SOD finding.
This property specifies the name(s) of the volume
fraction array(s) for generating parts.
|
|
0.5
 
|
|
 
An array of scalars is required.
|-
|-
|'''maximum radius factor''' (MaxRadiusFactor)
|'''Volume Fraction Value''' (VolumeFractionSurfaceValue)
|
|
Maximum radius factor for SOD finding.
The value of this property is the volume fraction value
for the surface.
|
|
2.0
0.1
|
|


|-
|-
|'''number of bins''' (SODBins)
|'''CapSurfaces''' (CapSurfaces)
|
|
Number of bins for SOD finding.
 
When enabled, volume surfaces are capped to produce visually closed
surface.
 
|
|
20
1
|
|
 
Accepts boolean values (0 or 1).
|-
|-
|'''minimum FOF size''' (MinFOFSize)
|'''RemoveGhostCells''' (RemoveGhostCells)
|
|
Minimum FOF halo size to calculate an SOD
 
halo.
When set to false, the output surfaces will not hide contours
extracted from ghost cells. This results in overlapping contours but
overcomes holes. Default is set to true.
 
|
|
1000
1
|
|
 
Accepts boolean values (0 or 1).
|-
|-
|'''minimum FOF mass''' (MinFOFMass)
|'''GenerateTriangles''' (GenerateTriangles)
|
|
Minimum FOF mass to calculate an SOD
 
halo.
Triangulate results. When set to false, the internal cut and contour filters
are told not to triangulate results if possible.
 
|
|
5.0e12
0
|
|
 
Accepts boolean values (0 or 1).


|}
|}


==Feature Edges==
==Extract Cells By Region==


This filter will extract edges along sharp edges of surfaces or boundaries of surfaces.
This filter extracts cells that are inside/outside a region or at a region boundary.
The Feature Edges filter extracts various subsets of edges
This filter extracts from its input dataset all cells that are either
from the input data set. This filter operates on polygonal
completely inside or outside of a specified region (implicit function).
data and produces polygonal output.
On output, the filter generates an unstructured grid. To use this filter
you must specify a region (implicit function). You must also specify
whethter to extract cells lying inside or outside of the region. An
option exists to extract cells that are neither inside or outside (i.e.,
boundary).


{| class="PropertiesTable" border="1" cellpadding="5"
{| class="PropertiesTable" border="1" cellpadding="5"
Line 3,438: Line 3,583:
|'''Input''' (Input)
|'''Input''' (Input)
|
|
This property specifies the input to the Feature Edges
This property specifies the input to the Slice
filter.
filter.
|
|
Line 3,444: Line 3,589:
|
|
Accepts input of following types:
Accepts input of following types:
* vtkPolyData
* vtkDataSet
|-
|-
|'''BoundaryEdges''' (BoundaryEdges)
|'''Intersect With''' (ImplicitFunction)
|
|
If the value of this property is set to 1, boundary
This property sets the region used to extract
edges will be extracted. Boundary edges are defined as lines cells or
cells.
edges that are used by only one polygon.
|
|
1
 
|
|
Accepts boolean values (0 or 1).
The value can be one of the following:
|-
* Plane (implicit_functions)
|'''FeatureEdges''' (FeatureEdges)
 
* Box (implicit_functions)
 
* Sphere (implicit_functions)
 
|-
|'''InputBounds''' (InputBounds)
|
|
If the value of this property is set to 1, feature edges
 
will be extracted. Feature edges are defined as edges that are used by
two polygons whose dihedral angle is greater than the feature angle.
(See the FeatureAngle property.) Toggle whether to extract feature
edges.
|
|
1
 
|
|
Accepts boolean values (0 or 1).
 
|-
|-
|'''Non-Manifold Edges''' (NonManifoldEdges)
|'''Extraction Side''' (ExtractInside)
|
|
If the value of this property is set to 1, non-manifold
This parameter controls whether to extract cells that
ediges will be extracted. Non-manifold edges are defined as edges that
are inside or outside the region.
are use by three or more polygons.
|
|
1
1
|
|
Accepts boolean values (0 or 1).
The value(s) is an enumeration of the following:
* outside (0)
* inside (1)
|-
|-
|'''ManifoldEdges''' (ManifoldEdges)
|'''Extract only intersected''' (Extract only intersected)
|
|
If the value of this property is set to 1, manifold
This parameter controls whether to extract only cells
edges will be extracted. Manifold edges are defined as edges that are
that are on the boundary of the region. If this parameter is set, the
used by exactly two polygons.
Extraction Side parameter is ignored. If Extract Intersected is off,
this parameter has no effect.
|
|
0
0
Line 3,488: Line 3,636:
Accepts boolean values (0 or 1).
Accepts boolean values (0 or 1).
|-
|-
|'''Coloring''' (Coloring)
|'''Extract intersected''' (Extract intersected)
|
|
If the value of this property is set to 1, then the
This parameter controls whether to extract cells that
extracted edges are assigned a scalar value based on the type of the
are on the boundary of the region.
edge.
|
|
0
0
|
|
Accepts boolean values (0 or 1).
Accepts boolean values (0 or 1).
|-
|'''FeatureAngle''' (FeatureAngle)
|
Ths value of this property is used to define a feature
edge. If the surface normal between two adjacent triangles is at least
as large as this Feature Angle, a feature edge exists. (See the
FeatureEdges property.)
|
30.0
|


|}
|}


==FlattenFilter==
==Extract Component==
 


This filter extracts a component of a multi-component attribute array.


{| class="PropertiesTable" border="1" cellpadding="5"
{| class="PropertiesTable" border="1" cellpadding="5"
Line 3,525: Line 3,661:
|'''Input''' (Input)
|'''Input''' (Input)
|
|
Set the input to the Flatten Filter.
 
This property specifies the input of the Extract Component filter.
 
|
|


|
|
Accepts input of following types:
Accepts input of following types:
* vtkPointSet
* vtkDataSet
* vtkGraph
The dataset must contain a field array ()
* vtkCompositeDataSet
 
|-
|'''Input Array''' (SelectInputArray)
|
 
This property indicates the name of the array to be extracted.
 
|
 
|
The value must be field array name.
|-
|'''Component''' (Component)
|
 
This property indicates the component of the array to be extracted.
 
|
0
|
 
|-
|'''Output Array Name''' (OutputArrayName)
|
 
This property indicates the name of the output scalar array.
 
|
Result
|
 


|}
|}


==Gaussian Resampling==
==Extract Edges==


Splat points into a volume with an elliptical, Gaussian distribution.vtkGaussianSplatter
Extract edges of 2D and 3D cells as lines.The Extract Edges
is a filter that injects input points into a structured
filter produces a wireframe version of the input dataset
points (volume) dataset. As each point is injected, it
by extracting all the edges of the dataset's cells as
"splats" or distributes values to nearby voxels. Data is
lines. This filter operates on any type of data set and
distributed using an elliptical, Gaussian distribution
produces polygonal output.
function. The distribution function is modified using
scalar values (expands distribution) or normals (creates
ellipsoidal distribution rather than spherical). Warning:
results may be incorrect in parallel as points can't splat
into other processor's cells.


{| class="PropertiesTable" border="1" cellpadding="5"
{| class="PropertiesTable" border="1" cellpadding="5"
Line 3,559: Line 3,722:
|'''Input''' (Input)
|'''Input''' (Input)
|
|
This property specifies the input to the
This property specifies the input to the Extract Edges
filter.
filter.
|
|
Line 3,566: Line 3,729:
Accepts input of following types:
Accepts input of following types:
* vtkDataSet
* vtkDataSet
The dataset much contain a field array (point)


with 1 component(s).
|}
 
==Extract Generic Dataset Surface==
 
Extract geometry from a higher-order dataset
Extract geometry from a higher-order
dataset.
 
{| class="PropertiesTable" border="1" cellpadding="5"
|-
| '''Property'''
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''


|-
|-
|'''Resample Field''' (SelectInputScalars)
|'''Input''' (Input)
|
|
Choose a scalar array to splat into the output cells. If
Set the input to the Generic Geometry
ignore arrays is chosen, point density will be counted
Filter.
instead.
|
|


|
|
An array of scalars is required.The value must be field array name.
Accepts input of following types:
* vtkGenericDataSet
|-
|-
|'''Resampling Grid''' (SampleDimensions)
|'''PassThroughCellIds''' (PassThroughCellIds)
|
|
Set / get the dimensions of the sampling structured
Select whether to forward original ids.
point set. Higher values produce better results but are much
slower.
|
|
50 50 50
1
|
|
Accepts boolean values (0 or 1).
|}
==Extract Level==


This filter extracts a range of groups from a hierarchical dataset.This filter extracts a range
of levels from a hierarchical dataset
{| class="PropertiesTable" border="1" cellpadding="5"
|-
|-
|'''Extent to Resample''' (ModelBounds)
| '''Property'''
|
| '''Description'''
Set / get the (xmin,xmax, ymin,ymax, zmin,zmax) bounding
| '''Default Value(s)'''
box in which the sampling is performed. If any of the (min,max) bounds
| '''Restrictions'''
values are min >= max, then the bounds will be computed
automatically from the input data. Otherwise, the user-specified bounds
will be used.
|
0.0 0.0 0.0 0.0 0.0 0.0
|


|-
|-
|'''Gaussian Splat Radius''' (Radius)
|'''Input''' (Input)
|
|
Set / get the radius of propagation of the splat. This
This property specifies the input to the Extract Group
value is expressed as a percentage of the length of the longest side of
filter.
the sampling volume. Smaller numbers greatly reduce execution
time.
|
|
0.1
 
|
|
 
Accepts input of following types:
* vtkUniformGridAMR
|-
|-
|'''Gaussian Exponent Factor''' (ExponentFactor)
|'''Levels''' (Levels)
|
|
Set / get the sharpness of decay of the splats. This is
This property lists the levels to extract from the input
the exponent constant in the Gaussian equation. Normally this is a
hierarchical dataset.
negative value.
|
|
-5.0
 
|
|


|}
==Extract Location==
Sample or extract cells at a point.
This filter allows you to specify a location and then either interpolate
the data attributes from the input dataset at that location or extract the
cell(s) at the location.
{| class="PropertiesTable" border="1" cellpadding="5"
|-
|-
|'''Scale Splats''' (ScalarWarping)
| '''Property'''
|
| '''Description'''
Turn on/off the scaling of splats by scalar
| '''Default Value(s)'''
value.
| '''Restrictions'''
|
 
1
|
Accepts boolean values (0 or 1).
|-
|-
|'''Scale Factor''' (ScaleFactor)
|'''Input''' (Input)
|
|
Multiply Gaussian splat distribution by this value. If
Set the input dataset producer
ScalarWarping is on, then the Scalar value will be multiplied by the
ScaleFactor times the Gaussian function.
|
|
1.0
 
|
|
Accepts input of following types:
* vtkDataSet
* vtkCompositeDataSet
The dataset must contain a field array ()


|-
|-
|'''Elliptical Splats''' (NormalWarping)
|'''Mode''' (Mode)
|
|
Turn on/off the generation of elliptical splats. If
 
normal warping is on, then the input normals affect the distribution of
Select whether to interpolate (probe) data attributes at the specified
the splat. This boolean is used in combination with the Eccentricity
location, or to extract cell(s) containing the specified location.
ivar.
 
|
|
1
1
|
|
Accepts boolean values (0 or 1).
The value(s) is an enumeration of the following:
* Interpolate At Location (0)
* Extract Cell At Location (1)
|-
|-
|'''Ellipitical Eccentricity''' (Eccentricity)
|'''Location''' (Location)
|
|
Control the shape of elliptical splatting. Eccentricity
Select the location of interest in 3D space.
is the ratio of the major axis (aligned along normal) to the minor
(axes) aligned along other two axes. So Eccentricity gt 1 creates
needles with the long axis in the direction of the normal; Eccentricity
lt 1 creates pancakes perpendicular to the normal
vector.
|
|
2.5
0.0 0.0 0.0
|
|
The value must lie within the bounding box of the dataset.
It will default to the mid in each dimension.
|}
==Extract Region Surface==
Extract a 2D boundary surface using neighbor relations to eliminate internal faces.The Extract
Surface filter extracts the polygons forming the outer
surface of the input dataset. This filter operates on any
type of data and produces polygonal data as
output.
{| class="PropertiesTable" border="1" cellpadding="5"
|-
| '''Property'''
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''


|-
|-
|'''Fill Volume Boundary''' (Capping)
|'''Input''' (Input)
|
|
Turn on/off the capping of the outer boundary of the
This property specifies the input to the Extract Surface
volume to a specified cap value. This can be used to close surfaces
filter.
(after iso-surfacing) and create other effects.
|
 
|
Accepts input of following types:
* vtkDataSet
|-
|'''PieceInvariant''' (PieceInvariant)
|
If the value of this property is set to 1, internal
surfaces along process boundaries will be removed. NOTE: Enabling this
option might cause multiple executions of the data source because more
information is needed to remove internal surfaces.
|
|
1
1
Line 3,677: Line 3,892:
Accepts boolean values (0 or 1).
Accepts boolean values (0 or 1).
|-
|-
|'''Fill Value''' (CapValue)
|'''NonlinearSubdivisionLevel''' (NonlinearSubdivisionLevel)
|
If the input is an unstructured grid with nonlinear
faces, this parameter determines how many times the face is subdivided
into linear faces. If 0, the output is the equivalent of its linear
couterpart (and the midpoints determining the nonlinear interpolation
are discarded). If 1, the nonlinear face is triangulated based on the
midpoints. If greater than 1, the triangulated pieces are recursively
subdivided to reach the desired subdivision. Setting the value to
greater than 1 may cause some point data to not be passed even if no
quadratic faces exist. This option has no effect if the input is not an
unstructured grid.
|
1
|
 
|-
|'''RegionArrayName''' (RegionArrayName)
|
|
Specify the cap value to use. (This instance variable
This property specifies the name of the material
only has effect if the ivar Capping is on.)
array for generating parts.
|
|
0.0
material
|
|


|-
|-
|'''Splat Accumulation Mode''' (Accumulation Mode)
|'''SingleSided''' (SingleSided)
|
|
Specify the scalar accumulation mode. This mode
If the value of this property is set to 1 (the default),
expresses how scalar values are combined when splats are overlapped.
surfaces along the boundary are 1 layer thick. Otherwise there is
The Max mode acts like a set union operation and is the most commonly
a surface for the material on each side.
used; the Min mode acts like a set intersection, and the sum is just
weird.
|
|
1
1
|
|
The value(s) is an enumeration of the following:
Accepts boolean values (0 or 1).
* Min (0)
|-
* Max (1)
|'''MaterialPropertiesName''' (MaterialPropertiesName)
* Sum (2)
|
This the name of the input material property field data array
|
material_properties
|
 
|-
|'''MaterialIDsName''' (MaterialIDsName)
|
This the name of the input and output material id field data array
|
material_ids
|
 
|-
|'''MaterialPIDsName''' (MaterialPIDsName)
|
This the name of the output material ancestry id field data array
|
material_ancestors
|
 
|-
|-
|'''Empty Cell Value''' (NullValue)
|'''InterfaceIDsName''' (InterfaceIDsName)
|
|
Set the Null value for output points not receiving a
This the name of the input and output interface id field data array
contribution from the input points. (This is the initial value of the
voxel samples.)
|
|
0.0
interface_ids
|
|


Line 3,713: Line 3,962:
|}
|}


==Generate Ids==
==Extract Selection==


Generate scalars from point and cell ids.
Extract different type of selections.This
This filter generates scalars using cell and point ids.
filter extracts a set of cells/points given a selection.
That is, the point attribute data scalars are generated
The selection can be obtained from a rubber-band selection
from the point ids, and the cell attribute data scalars or
(either cell, visible or in a frustum) or threshold
field data are generated from the the cell
selection and passed to the filter or specified by
ids.
providing an ID list.


{| class="PropertiesTable" border="1" cellpadding="5"
{| class="PropertiesTable" border="1" cellpadding="5"
Line 3,732: Line 3,981:
|'''Input''' (Input)
|'''Input''' (Input)
|
|
This property specifies the input to the Cell Data to
This property specifies the input from which the
Point Data filter.
selection is extracted.
|
|


Line 3,739: Line 3,988:
Accepts input of following types:
Accepts input of following types:
* vtkDataSet
* vtkDataSet
* vtkTable
|-
|'''Selection''' (Selection)
|
The input that provides the selection
object.
|
|
Accepts input of following types:
* vtkSelection
|-
|'''PreserveTopology''' (PreserveTopology)
|
If this property is set to 1 the output preserves the
topology of its input and adds an insidedness array to mark which cells
are inside or out. If 0 then the output is an unstructured grid which
contains only the subset of cells that are inside.
|
0
|
Accepts boolean values (0 or 1).
|-
|-
|'''ArrayName''' (ArrayName)
|'''ShowBounds''' (ShowBounds)
|
|
The name of the array that will contain
For frustum selection, if this property is set to 1 the
ids.
output is the outline of the frustum instead of the contents of the
input that lie within the frustum.
|
|
Ids
0
|
|
Accepts boolean values (0 or 1).
|}


==Extract Selection (internal)==


|}


==Generate Quadrature Points==
This filter extracts a given set of cells or points given
a selection. The selection can be obtained from a rubber-band selection
(either point, cell, visible or in a frustum) and passed to the filter or
specified by providing an ID list. This is an internal filter, use
"ExtractSelection" instead.


Create a point set with data at quadrature points.
"Create a point set with data at quadrature
points."


{| class="PropertiesTable" border="1" cellpadding="5"
{| class="PropertiesTable" border="1" cellpadding="5"
Line 3,767: Line 4,043:
|'''Input''' (Input)
|'''Input''' (Input)
|
|
This property specifies the input of the
 
filter.
The input from which the selection is
extracted.
 
|
|


|
|
Accepts input of following types:
Accepts input of following types:
* vtkUnstructuredGrid
* vtkDataSet
The dataset much contain a field array (cell)
 
|-
|-
|'''SelectSourceArray''' (SelectSourceArray)
|'''Selection''' (Selection)
|
|
Specifies the offset array from which we generate
 
quadrature points.
The input that provides the selection
object.
 
|
|


|
|
An array of scalars is required.
Accepts input of following types:
* vtkSelection


|}
|}


==Generate Quadrature Scheme Dictionary==
==Extract Subset==


Generate quadrature scheme dictionaries in data sets that do not have them.
Extract a subgrid from a structured grid with the option of setting subsample strides.The Extract
Generate quadrature scheme dictionaries in data sets that do not have
Grid filter returns a subgrid of a structured input data
them.
set (uniform rectilinear, curvilinear, or nonuniform
rectilinear). The output data set type of this filter is
the same as the input type.


{| class="PropertiesTable" border="1" cellpadding="5"
{| class="PropertiesTable" border="1" cellpadding="5"
Line 3,804: Line 4,085:
|'''Input''' (Input)
|'''Input''' (Input)
|
|
This property specifies the input of the
This property specifies the input to the Extract Grid
filter.
filter.
|
|
Line 3,810: Line 4,091:
|
|
Accepts input of following types:
Accepts input of following types:
* vtkUnstructuredGrid
* vtkImageData
 
* vtkRectilinearGrid
|}
* vtkStructuredPoints
 
* vtkStructuredGrid
==Generate Surface Normals==
 
This filter will produce surface normals used for smooth shading. Splitting is used to avoid smoothing across feature edges.This filter
generates surface normals at the points of the input
polygonal dataset to provide smooth shading of the
dataset. The resulting dataset is also polygonal. The
filter works by calculating a normal vector for each
polygon in the dataset and then averaging the normals at
the shared points.
 
{| class="PropertiesTable" border="1" cellpadding="5"
|-
|-
| '''Property'''
|'''VOI''' (VOI)
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''
 
|-
|'''Input''' (Input)
|
|
This property specifies the input to the Normals
This property specifies the minimum and maximum point
Generation filter.
indices along each of the I, J, and K axes; these values indicate the
volume of interest (VOI). The output will have the (I,J,K) extent
specified here.
|
|
 
0 0 0 0 0 0
|
|
Accepts input of following types:
The value(s) must lie within the structured-extents of the input dataset.
* vtkPolyData
|-
|-
|'''FeatureAngle''' (FeatureAngle)
|'''SampleRateI''' (SampleRateI)
|
|
The value of this property defines a feature edge. If
This property indicates the sampling rate in the I
the surface normal between two adjacent triangles is at least as large
dimension. A value grater than 1 results in subsampling; every nth
as this Feature Angle, a feature edge exists. If Splitting is on,
index will be included in the output.
points are duplicated along these feature edges. (See the Splitting
property.)
|
|
30
1
|
|


|-
|-
|'''Splitting''' (Splitting)
|'''SampleRateJ''' (SampleRateJ)
|
|
This property controls the splitting of sharp edges. If
This property indicates the sampling rate in the J
sharp edges are split (property value = 1), then points are duplicated
dimension. A value grater than 1 results in subsampling; every nth
along these edges, and separate normals are computed for both sets of
index will be included in the output.
points to give crisp (rendered) surface definition.
|
|
1
1
|
|
Accepts boolean values (0 or 1).
 
|-
|-
|'''Consistency''' (Consistency)
|'''SampleRateK''' (SampleRateK)
|
|
The value of this property controls whether consistent
This property indicates the sampling rate in the K
polygon ordering is enforced. Generally the normals for a data set
dimension. A value grater than 1 results in subsampling; every nth
should either all point inward or all point outward. If the value of
index will be included in the output.
this property is 1, then this filter will reorder the points of cells
that whose normal vectors are oriented the opposite direction from the
rest of those in the data set.
|
|
1
1
|
|
Accepts boolean values (0 or 1).
 
|-
|-
|'''FlipNormals''' (FlipNormals)
|'''IncludeBoundary''' (IncludeBoundary)
|
|
If the value of this property is 1, this filter will
If the value of this property is 1, then if the sample
reverse the normal direction (and reorder the points accordingly) for
rate in any dimension is greater than 1, the boundary indices of the
all polygons in the data set; this changes front-facing polygons to
input dataset will be passed to the output even if the boundary extent
back-facing ones, and vice versa. You might want to do this if your
is not an even multiple of the sample rate in a given
viewing position will be inside the data set instead of outside of
dimension.
it.
|
|
0
0
|
|
Accepts boolean values (0 or 1).
Accepts boolean values (0 or 1).
|}
==Extract Surface==
Extract a 2D boundary surface using neighbor relations to eliminate internal faces.The Extract
Surface filter extracts the polygons forming the outer
surface of the input dataset. This filter operates on any
type of data and produces polygonal data as
output.
{| class="PropertiesTable" border="1" cellpadding="5"
|-
| '''Property'''
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''
|-
|-
|'''Non-Manifold Traversal''' (NonManifoldTraversal)
|'''Input''' (Input)
|
|
Turn on/off traversal across non-manifold edges. Not
This property specifies the input to the Extract Surface
traversing non-manifold edges will prevent problems where the
filter.
consistency of polygonal ordering is corrupted due to topological
loops.
|
|
1
 
|
|
Accepts boolean values (0 or 1).
Accepts input of following types:
* vtkDataSet
|-
|-
|'''ComputeCellNormals''' (ComputeCellNormals)
|'''PieceInvariant''' (PieceInvariant)
|
|
This filter computes the normals at the points in the
If the value of this property is set to 1, internal
data set. In the process of doing this it computes polygon normals too.
surfaces along process boundaries will be removed. NOTE: Enabling this
If you want these normals to be passed to the output of this filter,
option might cause multiple executions of the data source because more
set the value of this property to 1.
information is needed to remove internal surfaces.
|
|
0
1
|
|
Accepts boolean values (0 or 1).
Accepts boolean values (0 or 1).
|-
|-
|'''PieceInvariant''' (PieceInvariant)
|'''NonlinearSubdivisionLevel''' (NonlinearSubdivisionLevel)
|
|
Turn this option to to produce the same results
If the input is an unstructured grid with nonlinear
regardless of the number of processors used (i.e., avoid seams along
faces, this parameter determines how many times the face is subdivided
processor boundaries). Turn this off if you do want to process ghost
into linear faces. If 0, the output is the equivalent of its linear
levels and do not mind seams.
couterpart (and the midpoints determining the nonlinear interpolation
are discarded). If 1, the nonlinear face is triangulated based on the
midpoints. If greater than 1, the triangulated pieces are recursively
subdivided to reach the desired subdivision. Setting the value to
greater than 1 may cause some point data to not be passed even if no
quadratic faces exist. This option has no effect if the input is not an
unstructured grid.
|
|
1
1
|
|
Accepts boolean values (0 or 1).
 


|}
|}


==GeometryFilter==
==FFT Of Selection Over Time==
 
Extracts selection over time and plots the FFT
Extracts the data of a selection (e.g. points or cells)
over time, takes the FFT of them, and plots
them.
 
{| class="PropertiesTable" border="1" cellpadding="5"
|-
| '''Property'''
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''
 
 
|}


==Feature Edges==


This filter will extract edges along sharp edges of surfaces or boundaries of surfaces.
The Feature Edges filter extracts various subsets of edges
from the input data set. This filter operates on polygonal
data and produces polygonal output.


{| class="PropertiesTable" border="1" cellpadding="5"
{| class="PropertiesTable" border="1" cellpadding="5"
Line 3,940: Line 4,241:
|'''Input''' (Input)
|'''Input''' (Input)
|
|
Set the input to the Geoemtry Filter.
This property specifies the input to the Feature Edges
filter.
|
|


|
|
 
Accepts input of following types:
* vtkPolyData
|-
|-
|'''UseStrips''' (UseStrips)
|'''BoundaryEdges''' (BoundaryEdges)
|
|
Toggle whether to generate faces containing triangle
If the value of this property is set to 1, boundary
strips. This should render faster and use less memory, but no cell data
edges will be extracted. Boundary edges are defined as lines cells or
is copied.
edges that are used by only one polygon.
|
|
0
1
|
|
Accepts boolean values (0 or 1).
Accepts boolean values (0 or 1).
|-
|-
|'''ForceStrips''' (ForceStrips)
|'''FeatureEdges''' (FeatureEdges)
|
|
This makes UseStrips call Modified() after changing its
If the value of this property is set to 1, feature edges
setting to ensure that the filter's output is immediatley
will be extracted. Feature edges are defined as edges that are used by
changed.
two polygons whose dihedral angle is greater than the feature angle.
(See the FeatureAngle property.) Toggle whether to extract feature
edges.
|
|
0
1
|
|
Accepts boolean values (0 or 1).
Accepts boolean values (0 or 1).
|-
|-
|'''UseOutline''' (UseOutline)
|'''Non-Manifold Edges''' (NonManifoldEdges)
|
|
Toggle whether to generate an outline or a
If the value of this property is set to 1, non-manifold
surface.
ediges will be extracted. Non-manifold edges are defined as edges that
are use by three or more polygons.
|
|
0
1
|
|
Accepts boolean values (0 or 1).
Accepts boolean values (0 or 1).
|-
|-
|'''NonlinearSubdivisionLevel''' (NonlinearSubdivisionLevel)
|'''ManifoldEdges''' (ManifoldEdges)
|
|
Nonlinear faces are approximated with flat polygons.
If the value of this property is set to 1, manifold
This parameter controls how many times to subdivide nonlinear surface
edges will be extracted. Manifold edges are defined as edges that are
cells. Higher subdivisions generate closer approximations but take more
used by exactly two polygons.
memory and rendering time. Subdivision is recursive, so the number of
output polygons can grow exponentially with this
parameter.
|
|
1
0
|
 
|-
|'''PassThroughIds''' (PassThroughIds)
|
If on, the output polygonal dataset will have a celldata
array that holds the cell index of the original 3D cell that produced
each output cell. This is useful for cell picking.
|
1
|
|
Accepts boolean values (0 or 1).
Accepts boolean values (0 or 1).
|-
|-
|'''PassThroughPointIds''' (PassThroughPointIds)
|'''Coloring''' (Coloring)
|
|
If on, the output polygonal dataset will have a
If the value of this property is set to 1, then the
pointdata array that holds the point index of the original 3D vertex
extracted edges are assigned a scalar value based on the type of the
that produced each output vertex. This is useful for
edge.
picking.
|
|
1
0
|
|
Accepts boolean values (0 or 1).
Accepts boolean values (0 or 1).
|-
|-
|'''MakeOutlineOfInput''' (MakeOutlineOfInput)
|'''FeatureAngle''' (FeatureAngle)
|
|
Causes filter to try to make geometry of input to the
Ths value of this property is used to define a feature
algorithm on its input.
edge. If the surface normal between two adjacent triangles is at least
as large as this Feature Angle, a feature edge exists. (See the
FeatureEdges property.)
|
|
0
30.0
|
|
Accepts boolean values (0 or 1).
 


|}
|}


==Glyph==
==FlattenFilter==
 


This filter generates an arrow, cone, cube, cylinder, line, sphere, or 2D glyph at each point of the input data set. The glyphs can be oriented and scaled by point attributes of the input dataset.
The Glyph filter generates a glyph (i.e., an arrow, cone, cube, cylinder,
line, sphere, or 2D glyph) at each point in the input dataset. The glyphs
can be oriented and scaled by the input point-centered scalars and
vectors. The Glyph filter operates on any type of data set. Its output is
polygonal. This filter is available on the Toolbar.


{| class="PropertiesTable" border="1" cellpadding="5"
{| class="PropertiesTable" border="1" cellpadding="5"
Line 4,039: Line 4,328:
|'''Input''' (Input)
|'''Input''' (Input)
|
|
This property specifies the input to the Glyph filter.
Set the input to the Flatten Filter.
This is the dataset to which the glyphs will be
applied.
|
|


|
|
Accepts input of following types:
Accepts input of following types:
* vtkDataSet
* vtkPointSet
The dataset much contain a field array (point)
* vtkGraph
* vtkCompositeDataSet
 
|}


with 1 component(s).
==Gaussian Resampling==


The dataset much contain a field array (point)
Splat points into a volume with an elliptical, Gaussian distribution.vtkGaussianSplatter
is a filter that injects input points into a structured
points (volume) dataset. As each point is injected, it
"splats" or distributes values to nearby voxels. Data is
distributed using an elliptical, Gaussian distribution
function. The distribution function is modified using
scalar values (expands distribution) or normals (creates
ellipsoidal distribution rather than spherical). Warning:
results may be incorrect in parallel as points can't splat
into other processor's cells.


with 3 component(s).
{| class="PropertiesTable" border="1" cellpadding="5"
|-
| '''Property'''
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''


|-
|-
|'''Scalars''' (SelectInputScalars)
|'''Input''' (Input)
|
|
This property indicates the name of the scalar array on
This property specifies the input to the
which to operate. The indicated array may be used for scaling the
filter.
glyphs. (See the SetScaleMode property.)
|
|


|
|
An array of scalars is required.
Accepts input of following types:
* vtkDataSet
The dataset must contain a field array (point)
 
with 1 component(s).
 
|-
|-
|'''Vectors''' (SelectInputVectors)
|'''Resample Field''' (SelectInputScalars)
|
|
This property indicates the name of the vector array on
Choose a scalar array to splat into the output cells. If
which to operate. The indicated array may be used for scaling and/or
ignore arrays is chosen, point density will be counted
orienting the glyphs. (See the SetScaleMode and SetOrient
instead.
properties.)
|
|
1
 
|
|
An array of vectors is required.
An array of scalars is required.The value must be field array name.
|-
|-
|'''Glyph Type''' (Source)
|'''Resampling Grid''' (SampleDimensions)
|
Set / get the dimensions of the sampling structured
point set. Higher values produce better results but are much
slower.
|
|
This property determines which type of glyph will be
50 50 50
placed at the points in the input dataset.
|
|


|-
|'''Extent to Resample''' (ModelBounds)
|
Set / get the (xmin,xmax, ymin,ymax, zmin,zmax) bounding
box in which the sampling is performed. If any of the (min,max) bounds
values are min >= max, then the bounds will be computed
automatically from the input data. Otherwise, the user-specified bounds
will be used.
|
0.0 0.0 0.0 0.0 0.0 0.0
|
|
Accepts input of following types:
* vtkPolyDataThe value can be one of the following:
* ArrowSource (sources)


* ConeSource (sources)
|-
 
|'''Gaussian Splat Radius''' (Radius)
* CubeSource (sources)
|
 
Set / get the radius of propagation of the splat. This
* CylinderSource (sources)
value is expressed as a percentage of the length of the longest side of
 
the sampling volume. Smaller numbers greatly reduce execution
* LineSource (sources)
time.
 
|
* SphereSource (sources)
0.1
 
|
* GlyphSource2D (sources)


|-
|-
|'''GlyphTransform''' (GlyphTransform)
|'''Gaussian Exponent Factor''' (ExponentFactor)
|
|
The values in this property allow you to specify the
Set / get the sharpness of decay of the splats. This is
transform (translation, rotation, and scaling) to apply to the glyph
the exponent constant in the Gaussian equation. Normally this is a
source.
negative value.
|
|
 
-5.0
|
|
The value can be one of the following:
* Transform2 (extended_sources)


|-
|-
|'''Orient''' (SetOrient)
|'''Scale Splats''' (ScalarWarping)
|
|
If this property is set to 1, the glyphs will be
Turn on/off the scaling of splats by scalar
oriented based on the selected vector array.
value.
|
|
1
1
Line 4,122: Line 4,436:
Accepts boolean values (0 or 1).
Accepts boolean values (0 or 1).
|-
|-
|'''Scale Mode''' (SetScaleMode)
|'''Scale Factor''' (ScaleFactor)
|
|
The value of this property specifies how/if the glyphs
Multiply Gaussian splat distribution by this value. If
should be scaled based on the point-centered scalars/vectors in the
ScalarWarping is on, then the Scalar value will be multiplied by the
input dataset.
ScaleFactor times the Gaussian function.
|
|
1
1.0
|
|
The value(s) is an enumeration of the following:
 
* scalar (0)
* vector (1)
* vector_components (2)
* off (3)
|-
|-
|'''SetScaleFactor''' (SetScaleFactor)
|'''Elliptical Splats''' (NormalWarping)
|
|
The value of this property will be used as a multiplier
Turn on/off the generation of elliptical splats. If
for scaling the glyphs before adding them to the
normal warping is on, then the input normals affect the distribution of
output.
the splat. This boolean is used in combination with the Eccentricity
ivar.
|
|
1.0
1
|
|
The value must lie within the range of the selected data array.The value must lie within the range of the selected data array.
Accepts boolean values (0 or 1).
The value must be less than the largest dimension of the
dataset multiplied by a scale factor of
0.1.
 
|-
|-
|'''Maximum Number of Points''' (MaximumNumberOfPoints)
|'''Ellipitical Eccentricity''' (Eccentricity)
|
|
The value of this property specifies the maximum number
Control the shape of elliptical splatting. Eccentricity
of glyphs that should appear in the output dataset if the value of the
is the ratio of the major axis (aligned along normal) to the minor
UseMaskPoints property is 1. (See the UseMaskPoints
(axes) aligned along other two axes. So Eccentricity gt 1 creates
property.)
needles with the long axis in the direction of the normal; Eccentricity
lt 1 creates pancakes perpendicular to the normal
vector.
|
|
5000
2.5
|
|


|-
|-
|'''Mask Points''' (UseMaskPoints)
|'''Fill Volume Boundary''' (Capping)
|
|
If the value of this property is set to 1, limit the
Turn on/off the capping of the outer boundary of the
maximum number of glyphs to the value indicated by
volume to a specified cap value. This can be used to close surfaces
MaximumNumberOfPoints. (See the MaximumNumberOfPoints
(after iso-surfacing) and create other effects.
property.)
|
|
1
1
Line 4,172: Line 4,480:
Accepts boolean values (0 or 1).
Accepts boolean values (0 or 1).
|-
|-
|'''RandomMode''' (RandomMode)
|'''Fill Value''' (CapValue)
|
|
If the value of this property is 1, then the points to
Specify the cap value to use. (This instance variable
glyph are chosen randomly. Otherwise the point ids chosen are evenly
only has effect if the ivar Capping is on.)
spaced.
|
|
1
0.0
|
|
Accepts boolean values (0 or 1).
 
|-
|-
|'''KeepRandomPoints''' (KeepRandomPoints)
|'''Splat Accumulation Mode''' (Accumulation Mode)
|
|
If the value of this property is 1 and RandomMode is
Specify the scalar accumulation mode. This mode
1, then the randomly chosen points to glyph are saved and reused for
expresses how scalar values are combined when splats are overlapped.
other timesteps. This is only useful if the coordinates are the same
The Max mode acts like a set union operation and is the most commonly
and in the same order between timesteps.
used; the Min mode acts like a set intersection, and the sum is just
 
weird.
|
1
|
The value(s) is an enumeration of the following:
* Min (0)
* Max (1)
* Sum (2)
|-
|'''Empty Cell Value''' (NullValue)
|
Set the Null value for output points not receiving a
contribution from the input points. (This is the initial value of the
voxel samples.)
|
|
0
0.0
|
|
Accepts boolean values (0 or 1).
 


|}
|}


==Glyph With Custom Source==
==Generate Ids==


This filter generates a glyph at each point of the input data set. The glyphs can be oriented and scaled by point attributes of the input dataset.
Generate scalars from point and cell ids.
The Glyph filter generates a glyph at each point in the input dataset.
This filter generates scalars using cell and point ids.
The glyphs can be oriented and scaled by the input point-centered scalars
That is, the point attribute data scalars are generated
and vectors. The Glyph filter operates on any type of data set. Its
from the point ids, and the cell attribute data scalars or
output is polygonal. This filter is available on the
field data are generated from the the cell
Toolbar.
ids.


{| class="PropertiesTable" border="1" cellpadding="5"
{| class="PropertiesTable" border="1" cellpadding="5"
Line 4,215: Line 4,535:
|'''Input''' (Input)
|'''Input''' (Input)
|
|
This property specifies the input to the Glyph filter.
This property specifies the input to the Cell Data to
This is the dataset to which the glyphs will be
Point Data filter.
applied.
|
|


Line 4,223: Line 4,542:
Accepts input of following types:
Accepts input of following types:
* vtkDataSet
* vtkDataSet
The dataset much contain a field array (point)
|-
|'''ArrayName''' (ArrayName)
|
The name of the array that will contain
ids.
|
Ids
|
 


with 1 component(s).
|}


The dataset much contain a field array (point)
==Generate Quadrature Points==


with 3 component(s).
Create a point set with data at quadrature points.
"Create a point set with data at quadrature
points."


{| class="PropertiesTable" border="1" cellpadding="5"
|-
|-
|'''Glyph Type''' (Source)
| '''Property'''
|
| '''Description'''
This property determines which type of glyph will be
| '''Default Value(s)'''
placed at the points in the input dataset.
| '''Restrictions'''
 
|-
|'''Input''' (Input)
|
This property specifies the input of the filter.
|
|


|
|
Accepts input of following types:
Accepts input of following types:
* vtkPolyData
* vtkUnstructuredGrid
The dataset must contain a field array (cell)
 
|-
|-
|'''Scalars''' (SelectInputScalars)
|'''Quadrature Scheme Def''' (QuadratureSchemeDefinition)
|
|
This property indicates the name of the scalar array on
Specifies the offset array from which we generate
which to operate. The indicated array may be used for scaling the
quadrature points.
glyphs. (See the SetScaleMode property.)
|
|


|
|
An array of scalars is required.
An array of scalars is required.
|}
==Generate Quadrature Scheme Dictionary==
Generate quadrature scheme dictionaries in data sets that do not have them.
Generate quadrature scheme dictionaries in data sets that do not have
them.
{| class="PropertiesTable" border="1" cellpadding="5"
|-
|-
|'''Vectors''' (SelectInputVectors)
| '''Property'''
|
| '''Description'''
This property indicates the name of the vector array on
| '''Default Value(s)'''
which to operate. The indicated array may be used for scaling and/or
| '''Restrictions'''
orienting the glyphs. (See the SetScaleMode and SetOrient
 
properties.)
|
1
|
An array of vectors is required.
|-
|-
|'''Orient''' (SetOrient)
|'''Input''' (Input)
|
|
If this property is set to 1, the glyphs will be
This property specifies the input of the
oriented based on the selected vector array.
filter.
|
|
1
 
|
|
Accepts boolean values (0 or 1).
Accepts input of following types:
* vtkUnstructuredGrid
 
|}
 
==Generate Surface Normals==
 
This filter will produce surface normals used for smooth shading. Splitting is used to avoid smoothing across feature edges.This filter
generates surface normals at the points of the input
polygonal dataset to provide smooth shading of the
dataset. The resulting dataset is also polygonal. The
filter works by calculating a normal vector for each
polygon in the dataset and then averaging the normals at
the shared points.
 
{| class="PropertiesTable" border="1" cellpadding="5"
|-
|-
|'''Scale Mode''' (SetScaleMode)
| '''Property'''
|
| '''Description'''
The value of this property specifies how/if the glyphs
| '''Default Value(s)'''
should be scaled based on the point-centered scalars/vectors in the
| '''Restrictions'''
input dataset.
 
|
1
|
The value(s) is an enumeration of the following:
* scalar (0)
* vector (1)
* vector_components (2)
* off (3)
|-
|-
|'''SetScaleFactor''' (SetScaleFactor)
|'''Input''' (Input)
|
|
The value of this property will be used as a multiplier
This property specifies the input to the Normals
for scaling the glyphs before adding them to the
Generation filter.
output.
|
|
1.0
 
|
|
The value must lie within the range of the selected data array.The value must lie within the range of the selected data array.
Accepts input of following types:
The value must be less than the largest dimension of the
* vtkPolyData
dataset multiplied by a scale factor of
0.1.
 
|-
|-
|'''Maximum Number of Points''' (MaximumNumberOfPoints)
|'''FeatureAngle''' (FeatureAngle)
|
|
The value of this property specifies the maximum number
The value of this property defines a feature edge. If
of glyphs that should appear in the output dataset if the value of the
the surface normal between two adjacent triangles is at least as large
UseMaskPoints property is 1. (See the UseMaskPoints
as this Feature Angle, a feature edge exists. If Splitting is on,
points are duplicated along these feature edges. (See the Splitting
property.)
property.)
|
|
5000
30
|
|


|-
|-
|'''Mask Points''' (UseMaskPoints)
|'''Splitting''' (Splitting)
|
|
If the value of this property is set to 1, limit the
This property controls the splitting of sharp edges. If
maximum number of glyphs to the value indicated by
sharp edges are split (property value = 1), then points are duplicated
MaximumNumberOfPoints. (See the MaximumNumberOfPoints
along these edges, and separate normals are computed for both sets of
property.)
points to give crisp (rendered) surface definition.
|
|
1
1
Line 4,322: Line 4,667:
Accepts boolean values (0 or 1).
Accepts boolean values (0 or 1).
|-
|-
|'''RandomMode''' (RandomMode)
|'''Consistency''' (Consistency)
|
|
If the value of this property is 1, then the points to
The value of this property controls whether consistent
glyph are chosen randomly. Otherwise the point ids chosen are evenly
polygon ordering is enforced. Generally the normals for a data set
spaced.
should either all point inward or all point outward. If the value of
this property is 1, then this filter will reorder the points of cells
that whose normal vectors are oriented the opposite direction from the
rest of those in the data set.
|
|
1
1
Line 4,332: Line 4,680:
Accepts boolean values (0 or 1).
Accepts boolean values (0 or 1).
|-
|-
|'''KeepRandomPoints''' (KeepRandomPoints)
|'''FlipNormals''' (FlipNormals)
|
If the value of this property is 1, this filter will
reverse the normal direction (and reorder the points accordingly) for
all polygons in the data set; this changes front-facing polygons to
back-facing ones, and vice versa. You might want to do this if your
viewing position will be inside the data set instead of outside of
it.
|
0
|
Accepts boolean values (0 or 1).
|-
|'''Non-Manifold Traversal''' (NonManifoldTraversal)
|
Turn on/off traversal across non-manifold edges. Not
traversing non-manifold edges will prevent problems where the
consistency of polygonal ordering is corrupted due to topological
loops.
|
1
|
Accepts boolean values (0 or 1).
|-
|'''ComputeCellNormals''' (ComputeCellNormals)
|
|
If the value of this property is 1 and RandomMode is
This filter computes the normals at the points in the
1, then the randomly chosen points to glyph are saved and reused for
data set. In the process of doing this it computes polygon normals too.
other timesteps. This is only useful if the coordinates are the same
If you want these normals to be passed to the output of this filter,
and in the same order between timesteps.
set the value of this property to 1.
 
|
|
0
0
|
Accepts boolean values (0 or 1).
|-
|'''PieceInvariant''' (PieceInvariant)
|
Turn this option to to produce the same results
regardless of the number of processors used (i.e., avoid seams along
processor boundaries). Turn this off if you do want to process ghost
levels and do not mind seams.
|
1
|
|
Accepts boolean values (0 or 1).
Accepts boolean values (0 or 1).
Line 4,346: Line 4,728:
|}
|}


==Gradient==
==GeometryFilter==
 


This filter computes gradient vectors for an image/volume.The Gradient filter
computes the gradient vector at each point in an image or
volume. This filter uses central differences to compute
the gradients. The Gradient filter operates on uniform
rectilinear (image) data and produces image data
output.


{| class="PropertiesTable" border="1" cellpadding="5"
{| class="PropertiesTable" border="1" cellpadding="5"
Line 4,365: Line 4,742:
|'''Input''' (Input)
|'''Input''' (Input)
|
|
This property specifies the input to the Gradient
Set the input to the Geoemtry Filter.
filter.
|
|


|
|
Accepts input of following types:
* vtkImageData
The dataset much contain a field array (point)
with 1 component(s).


|-
|-
|'''SelectInputScalars''' (SelectInputScalars)
|'''UseStrips''' (UseStrips)
|
|
This property lists the name of the array from which to
Toggle whether to generate faces containing triangle
compute the gradient.
strips. This should render faster and use less memory, but no cell data
is copied.
|
|
 
0
|
|
An array of scalars is required.
Accepts boolean values (0 or 1).
|-
|-
|'''Dimensionality''' (Dimensionality)
|'''ForceStrips''' (ForceStrips)
|
|
This property indicates whether to compute the gradient
This makes UseStrips call Modified() after changing its
in two dimensions or in three. If the gradient is being computed in two
setting to ensure that the filter's output is immediatley
dimensions, the X and Y dimensions are used.
changed.
|
|
3
0
|
|
The value(s) is an enumeration of the following:
Accepts boolean values (0 or 1).
* Two (2)
* Three (3)
 
|}
 
==Gradient Magnitude==
 
Compute the magnitude of the gradient vectors for an image/volume.The Gradient
Magnitude filter computes the magnitude of the gradient
vector at each point in an image or volume. This filter
operates on uniform rectilinear (image) data and produces
image data output.
 
{| class="PropertiesTable" border="1" cellpadding="5"
|-
|-
| '''Property'''
|'''UseOutline''' (UseOutline)
| '''Description'''
|
| '''Default Value(s)'''
Toggle whether to generate an outline or a
| '''Restrictions'''
surface.
 
|
0
|
Accepts boolean values (0 or 1).
|-
|-
|'''Input''' (Input)
|'''NonlinearSubdivisionLevel''' (NonlinearSubdivisionLevel)
|
|
This property specifies the input to the Gradient
Nonlinear faces are approximated with flat polygons.
Magnitude filter.
This parameter controls how many times to subdivide nonlinear surface
cells. Higher subdivisions generate closer approximations but take more
memory and rendering time. Subdivision is recursive, so the number of
output polygons can grow exponentially with this
parameter.
|
|
 
1
|
|
Accepts input of following types:
* vtkImageData
The dataset much contain a field array (point)
with 1 component(s).


|-
|-
|'''Dimensionality''' (Dimensionality)
|'''PassThroughIds''' (PassThroughIds)
|
|
This property indicates whether to compute the gradient
If on, the output polygonal dataset will have a celldata
magnitude in two or three dimensions. If computing the gradient
array that holds the cell index of the original 3D cell that produced
magnitude in 2D, the gradients in X and Y are used for computing the
each output cell. This is useful for cell picking.
gradient magnitude.
|
1
|
Accepts boolean values (0 or 1).
|-
|'''PassThroughPointIds''' (PassThroughPointIds)
|
If on, the output polygonal dataset will have a
pointdata array that holds the point index of the original 3D vertex
that produced each output vertex. This is useful for
picking.
|
|
3
1
|
|
The value(s) is an enumeration of the following:
Accepts boolean values (0 or 1).
* Two (2)
* Three (3)


|}
|}


==Gradient Of Unstructured DataSet==
==Ghost Cells Generator==
 
Generate ghost cells for unstructured grids.
The GhostCellGenerator filter is available when ParaView is
run in parallel (ie. with MPI). It operates on unstructured
grids only.
This filter does not redistribute the input data, it only
generates ghost cells at processor boundary by fetching
topological and geometrical information of those cells on
neighbor ranks. The filter can take benefit of global point
ids if they are available - if so it will perform faster,
otherwise point coordinates will be exchanged and processed.


Estimate the gradient for each point or cell in any type of dataset.
The Gradient (Unstructured) filter estimates the gradient
vector at each point or cell. It operates on any type of
vtkDataSet, and the output is the same type as the input.
If the dataset is a vtkImageData, use the Gradient filter
instead; it will be more efficient for this type of
dataset.


{| class="PropertiesTable" border="1" cellpadding="5"
{| class="PropertiesTable" border="1" cellpadding="5"
Line 4,465: Line 4,837:
|'''Input''' (Input)
|'''Input''' (Input)
|
|
This property specifies the input to the Gradient
This property specifies the input to the ghost cells
(Unstructured) filter.
generator.
|
|


|
|
Accepts input of following types:
Accepts input of following types:
* vtkDataSet
* vtkUnstructuredGrid
The dataset much contain a field array ()
 
|-
|-
|'''Scalar Array''' (SelectInputScalars)
|'''BuildIfRequired''' (BuildIfRequired)
|
|
This property lists the name of the scalar array from
Specify if the filter must generate the ghost cells only
which to compute the gradient.
if required by the pipeline downstream.
|
|
 
1
|
|
An array of scalars is required.The value must be field array name.
Accepts boolean values (0 or 1).
|-
|-
|'''ResultArrayName''' (ResultArrayName)
|'''UseGlobalIds''' (UseGlobalIds)
|
This property provides a name for the output array
containing the gradient vectors.
|
Gradients
|
|
Specify if the filter must take benefit of global point
ids if they exist or if point coordinates should be used instead.


|-
|'''FasterApproximation''' (FasterApproximation)
|
|
When this flag is on, the gradient filter will provide a
1
less accurate (but close) algorithm that performs fewer derivative
calculations (and is therefore faster). The error contains some
smoothing of the output data and some possible errors on the boundary.
This parameter has no effect when performing the gradient of cell
data.
|
0
|
|
Accepts boolean values (0 or 1).
Accepts boolean values (0 or 1).
|-
|-
|'''ComputeVorticity''' (ComputeVorticity)
|'''GlobalPointIdsArrayName''' (GlobalPointIdsArrayName)
|
|
When this flag is on, the gradient filter will compute
This property provides the name for the input array
the vorticity/curl of a 3 component array.
containing the global point ids if the GlobalIds array of the point
data if not set. Default is GlobalNodeIds.
|
|
0
GlobalNodeIds
|
Accepts boolean values (0 or 1).
|-
|'''VorticityArrayName''' (VorticityArrayName)
|
This property provides a name for the output array
containing the vorticity vector.
|
Vorticity
|
|


|-
|'''ComputeQCriterion''' (ComputeQCriterion)
|
When this flag is on, the gradient filter will compute
the Q-criterion of a 3 component array.
|
0
|
Accepts boolean values (0 or 1).
|-
|'''QCriterionArrayName''' (QCriterionArrayName)
|
This property provides a name for the output array
containing Q criterion.
|
Q-criterion
|


|}
==Glyph==
This filter produces a glyph at each point of in input data set. The glyphs can be oriented and scaled by point attributes of the input dataset.
The Glyph filter generates a glyph (i.e., an arrow, cone, cube,
cylinder, line, sphere, or 2D glyph) at each point in the input
dataset. The glyphs can be oriented and scaled by the input
point-centered scalars and vectors. The Glyph filter operates on any
type of data set. Its output is polygonal


|}
To use this filter, you first select the arrays to use for as the
**Scalars** and **Vectors**, if any. To orient the glyphs using the
selected **Vectors**, use **Orient** property. To scale the glyphs using
the selected **Scalars** or **Vectors**, use the **Scale Mode** property.


==Grid Connectivity==
The **Glyph Mode** property controls which points in the input dataset
are selected for glyphing (since in most cases, glyping all points in
the input dataset can be both performance impeding as well as visually
cluttred.


Mass properties of connected fragments for unstructured grids.This
filter works on multiblock unstructured grid inputs and
also works in parallel. It Ignores any cells with a cell
data Status value of 0. It performs connectivity to
distict fragments separately. It then integrates
attributes of the fragments.


{| class="PropertiesTable" border="1" cellpadding="5"
{| class="PropertiesTable" border="1" cellpadding="5"
Line 4,563: Line 4,906:
|'''Input''' (Input)
|'''Input''' (Input)
|
|
This property specifies the input of the
 
filter.
This property specifies the input to the Glyph filter. This is the
dataset from which the points are selecetd to be glyphed.
 
|
|


|
|
Accepts input of following types:
Accepts input of following types:
* vtkUnstructuredGrid
* vtkDataSet
* vtkCompositeDataSet
The dataset must contain a field array ()


|}
with 1 component(s).


==Group Datasets==
The dataset must contain a field array ()


Group data sets.
with 3 component(s).
Groups multiple datasets to create a multiblock
dataset


{| class="PropertiesTable" border="1" cellpadding="5"
|-
|-
| '''Property'''
|'''Glyph Type''' (Source)
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''
 
|-
|'''Input''' (Input)
|
|
This property indicates the the inputs to the Group
This property determines which type of glyph will be
Datasets filter.
placed at the points in the input dataset.
|
|


|
|
Accepts input of following types:
Accepts input of following types:
* vtkDataObject
* vtkPolyDataThe value can be one of the following:
* ArrowSource (sources)


|}
* ConeSource (sources)
 
* CubeSource (sources)
 
* CylinderSource (sources)


==Histogram==
* LineSource (sources)


Extract a histogram from field data.
* SphereSource (sources)


{| class="PropertiesTable" border="1" cellpadding="5"
* GlyphSource2D (sources)
|-
| '''Property'''
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''


|-
|-
|'''Input''' (Input)
|'''Scalars''' (Scalars)
|
This property specifies the input to the Histogram
filter.
|
|


|
Select the input array to be treated as the active **Scalars**. You
Accepts input of following types:
can scale the glyphs using the selected scalars by setting the **Scale
* vtkDataSet
Mode** property to **scalar**.
The dataset much contain a field array ()


|-
|'''SelectInputArray''' (SelectInputArray)
|
|
This property indicates the name of the array from which
0
to compute the histogram.
|
 
|
|
An array of scalars is required.The value must be field array name.
An array of scalars is required.The value must be field array name.
|-
|-
|'''BinCount''' (BinCount)
|'''Vectors''' (Vectors)
|
|
The value of this property specifies the number of bins
 
for the histogram.
Select the input array to be treated as the active **Vectors**. You can
scale the glyphs using the selected vectors by setting the **Scale
Mode** property to **vector** or **vector_components**. You can orient the
glyphs using the selected vectors by checking the **Orient** property.
 
|
|
10
1
|
|
 
An array of vectors is required.The value must be field array name.
|-
|-
|'''Component''' (Component)
|'''Orient''' (Orient)
|
The value of this property specifies the array component
from which the histogram should be computed.
|
0
|
|


|-
If this property is set to 1, the glyphs will be oriented based on the
|'''CalculateAverages''' (CalculateAverages)
vectors selected using the **Vectors** property.
|
 
This option controls whether the algorithm calculates
averages of variables other than the primary variable that fall into
each bin.
|
|
1
1
Line 4,661: Line 4,984:
Accepts boolean values (0 or 1).
Accepts boolean values (0 or 1).
|-
|-
|'''UseCustomBinRanges''' (UseCustomBinRanges)
|'''ScaleMode''' (ScaleMode)
|
|
When set to true, CustomBinRanges will be used instead
 
of using the full range for the selected array. By default, set to
Select how to scale the glyphs. Set to **off** to disable scaling
false.
entirely. Set to **scalar** to scale the glyphs using the array selected
using the **Scalars** property. Set to **vector** to scale the glyphs
using the magnitude of the array selected using the **Vectors**
property. Set to **vector_components** to scale using the **Vectors**,
scaling each component individually.
 
|
|
0
3
|
|
Accepts boolean values (0 or 1).
The value(s) is an enumeration of the following:
* scalar (0)
* vector (1)
* vector_components (2)
* off (3)
|-
|-
|'''CustomBinRanges''' (CustomBinRanges)
|'''ScaleFactor''' (ScaleFactor)
|
|
Set custom bin ranges to use. These are used only when
Specify the constant multiplier to use to scale the glyphs.
UseCustomBinRanges is set to true.
 
|
|
0.0 100.0
1.0
|
|
The value must lie within the range of the selected data array.
The value must lie within the range of the selected data array.The value must lie within the range of the selected data array.
The value must be less than the largest dimension of the
dataset multiplied by a scale factor of
0.1.


|}
|-
|'''GlyphMode''' (GlyphMode)
|


==Image Data To AMR==
This property indicates the mode that will be used to generate
 
glyphs from the dataset.
Converts certain images to AMR.
 
{| class="PropertiesTable" border="1" cellpadding="5"
|-
| '''Property'''
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''


|
2
|
The value(s) is an enumeration of the following:
* All Points (0)
* Every Nth Point (1)
* Uniform Spatial Distribution (2)
|-
|-
|'''Input''' (Input)
|'''MaximumNumberOfSamplePoints''' (MaximumNumberOfSamplePoints)
|
|


This property specifies the input to the Cell Data to
This property specifies the maximum number of sample points to use
Point Data filter.
when sampling the space when Uniform Spatial Distribution is used.


|
5000
|
|


|
Accepts input of following types:
* vtkImageData
|-
|-
|'''Number of levels''' (NumberOfLevels)
|'''Seed''' (Seed)
|
|


This property specifies the number of levels in the amr data structure.
This property specifies the seed that will be used for generating a
uniform distribution of glyph points when a Uniform Spatial
Distribution is used.


|
|
2
10339
|
|


|-
|-
|'''Maximum Number of Blocks''' (MaximumNumberOfLevels)
|'''Stride''' (Stride)
|
|


This property specifies the maximum number of blocks in the output
This property specifies the stride that will be used when glyphing by
amr data structure.
Every Nth Point.


|
|
100
1
|
|


|-
|-
|'''Refinement Ratio''' (RefinementRatio)
|'''GlyphTransform''' (GlyphTransform)
|
|


This property specifies the refinement ratio between levels.
The values in this property allow you to specify the transform
(translation, rotation, and scaling) to apply to the glyph
source.
|


|
|
2
The value can be one of the following:
|
* Transform2 (extended_sources)




|}
|}


==Image Data To Uniform Grid==
==Glyph With Custom Source==
 
Create a uniform grid from an image data by specified blanking arrays.
Create a vtkUniformGrid from a vtkImageData by passing in arrays to be used
for point and/or cell blanking. By default, values of 0 in the specified
array will result in a point or cell being blanked. Use Reverse to switch this.


This filter generates a glyph at each point of the input data set. The glyphs can be oriented and scaled by point attributes of the input dataset.
The Glyph filter generates a glyph at each point in the input dataset.
The glyphs can be oriented and scaled by the input point-centered scalars
and vectors. The Glyph filter operates on any type of data set. Its
output is polygonal. This filter is available on the
Toolbar.


{| class="PropertiesTable" border="1" cellpadding="5"
{| class="PropertiesTable" border="1" cellpadding="5"
Line 4,757: Line 5,098:
|'''Input''' (Input)
|'''Input''' (Input)
|
|
This property specifies the input to the Glyph filter.
This is the dataset from which the points are selecetd to be glyphed.


|
|
Line 4,762: Line 5,105:
|
|
Accepts input of following types:
Accepts input of following types:
* vtkImageData
* vtkDataSet
The dataset much contain a field array ()
The dataset must contain a field array (point)


with 1 component(s).
with 1 component(s).
The dataset must contain a field array (point)
with 3 component(s).


|-
|-
|'''SelectInputScalars''' (SelectInputScalars)
|'''Glyph Type''' (Source)
|
This property determines which type of glyph will be
placed at the points in the input dataset.
|
 
|
Accepts input of following types:
* vtkPolyData
|-
|'''Scalars''' (Scalars)
|
|
Specify the array to use for blanking.
Select the input array to be treated as the active "Scalars".
You can scale the glyphs using the selected scalars by setting the
"Scale Mode" property to "scalar"
 
|
|


Line 4,776: Line 5,136:
An array of scalars is required.
An array of scalars is required.
|-
|-
|'''Reverse''' (Reverse)
|'''Vectors''' (Vectors)
|
Select the input array to be treated as the active "Vectors".
You can scale the glyphs using the selected vectors by setting the "Scale Mode"
property to "vector" or "vector_components". You can orient the glyphs using the
selected vectors by checking the "Orient" property.
 
|
1
|
An array of vectors is required.
|-
|'''Orient''' (Orient)
|
|
Reverse the array value to whether or not a point or cell is blanked.
If this property is set to 1, the glyphs will be
oriented based on the vectors selected using the "Vectors" property.
 
|
|
0
1
|
|
Accepts boolean values (0 or 1).
Accepts boolean values (0 or 1).
|}
==Image Data to Point Set==
The Image Data to Point Set filter takes an image data
(uniform rectilinear grid) object and outputs an equivalent structured
grid (which as a type of point set). This brings the data to a broader
category of data storage but only adds a small amount of overhead. This
filter can be helpful in applying filters that expect or manipulate point
coordinates.
{| class="PropertiesTable" border="1" cellpadding="5"
|-
|-
| '''Property'''
|'''ScaleMode''' (ScaleMode)
| '''Description'''
|
| '''Default Value(s)'''
Select how to scale the glyphs. Set to "off" to disable
| '''Restrictions'''
scaling entirely. Set to "scalar" to scale the glyphs using the
array selected using the "Scalars" property. Set to "vector" to scale the
glyphs using the magnitude of the array selected using the "Vectors" property.
Set to "vector_components" to scale using the "Vectors", scaling each component
individually.


|
3
|
The value(s) is an enumeration of the following:
* scalar (0)
* vector (1)
* vector_components (2)
* off (3)
|-
|-
|'''Input''' (Input)
|'''ScaleFactor''' (ScaleFactor)
|
|
Specify the constant multiplier to use to scale the glyphs.


|
|
1.0
|
The value must lie within the range of the selected data array.The value must lie within the range of the selected data array.
The value must be less than the largest dimension of the
dataset multiplied by a scale factor of
0.1.


|-
|'''GlyphMode''' (GlyphMode)
|
|
Accepts input of following types:
* vtkImageData


|}
This property indicates the mode that will be used to generate
glyphs from the dataset.


==Image Shrink==
|
2
|
The value(s) is an enumeration of the following:
* All Points (0)
* Every Nth Point (1)
* Uniform Spatial Distribution (2)
|-
|'''MaximumNumberOfSamplePoints''' (MaximumNumberOfSamplePoints)
|
 
This property specifies the maximum number of sample points to use
when sampling the space when Uniform Spatial Distribution is used.


Reduce the size of an image/volume by subsampling.The Image Shrink
|
filter reduces the size of an image/volume dataset by
5000
subsampling it (i.e., extracting every nth pixel/voxel in
|
integer multiples). The sbsampling rate can be set
separately for each dimension of the
image/volume.


{| class="PropertiesTable" border="1" cellpadding="5"
|-
|-
| '''Property'''
|'''Seed''' (Seed)
| '''Description'''
|
| '''Default Value(s)'''
 
| '''Restrictions'''
This property specifies the seed that will be used for generating
a uniform distribution of glyph points when a Uniform Spatial
Distribution is used.


|-
|'''Input''' (Input)
|
|
This property specifies the input to the Image Shrink
10339
filter.
|
|


|
Accepts input of following types:
* vtkImageData
|-
|-
|'''ShrinkFactors''' (ShrinkFactors)
|'''Stride''' (Stride)
|
|
The value of this property indicates the amount by which
 
to shrink along each axis.
This property specifies the stride that will be used when glyphing
by Every Nth Point.
 
|
|
1 1 1
1
|
|


|-
|-
|'''Averaging''' (Averaging)
|'''GlyphTransform''' (GlyphTransform)
|
|
If the value of this property is 1, an average of
The values in this property allow you to specify the
neighborhood scalar values will be used as the output scalar value for
transform (translation, rotation, and scaling) to apply to the glyph
each output point. If its value is 0, only subsampling will be
source.
performed, and the original scalar values at the points will be
retained.
|
|
1
 
|
|
Accepts boolean values (0 or 1).
The value can be one of the following:
* Transform2 (extended_sources)
 


|}
|}


==Integrate Variables==
==Gradient==


This filter integrates cell and point attributes.
This filter computes gradient vectors for an image/volume.The Gradient filter
The Integrate Attributes filter integrates point and cell
computes the gradient vector at each point in an image or
data over lines and surfaces. It also computes length of
volume. This filter uses central differences to compute
lines, area of surface, or volume.
the gradients. The Gradient filter operates on uniform
rectilinear (image) data and produces image data
output.


{| class="PropertiesTable" border="1" cellpadding="5"
{| class="PropertiesTable" border="1" cellpadding="5"
Line 4,881: Line 5,270:
|'''Input''' (Input)
|'''Input''' (Input)
|
|
This property specifies the input to the Integrate
This property specifies the input to the Gradient
Attributes filter.
filter.
|
|


|
|
Accepts input of following types:
Accepts input of following types:
* vtkDataSet
* vtkImageData
The dataset must contain a field array (point)


|}
with 1 component(s).


==Interpolate to Quadrature Points==
Create scalar/vector data arrays interpolated to quadrature points.
"Create scalar/vector data arrays interpolated to quadrature
points."
{| class="PropertiesTable" border="1" cellpadding="5"
|-
|-
| '''Property'''
|'''SelectInputScalars''' (SelectInputScalars)
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''
 
|-
|'''Input''' (Input)
|
|
This property specifies the input of the
This property lists the name of the array from which to
filter.
compute the gradient.
|
|


|
|
Accepts input of following types:
An array of scalars is required.
* vtkUnstructuredGrid
|-
|-
|'''SelectSourceArray''' (SelectSourceArray)
|'''Dimensionality''' (Dimensionality)
|
|
Specifies the offset array from which we interpolate
This property indicates whether to compute the gradient
values to quadrature points.
in two dimensions or in three. If the gradient is being computed in two
dimensions, the X and Y dimensions are used.
|
|
 
3
|
|
An array of scalars is required.
The value(s) is an enumeration of the following:
* Two (2)
* Three (3)


|}
|}


==Intersect Fragments==
==Gradient Magnitude==


The Intersect Fragments filter perform geometric intersections on sets of fragments.
Compute the magnitude of the gradient vectors for an image/volume.The Gradient
The Intersect Fragments filter perform geometric intersections on sets of
Magnitude filter computes the magnitude of the gradient
fragments. The filter takes two inputs, the first containing fragment
vector at each point in an image or volume. This filter
geometry and the second containing fragment centers. The filter has two
operates on uniform rectilinear (image) data and produces
outputs. The first is geometry that results from the intersection. The
image data output.
second is a set of points that is an approximation of the center of where
each fragment has been intersected.


{| class="PropertiesTable" border="1" cellpadding="5"
{| class="PropertiesTable" border="1" cellpadding="5"
Line 4,946: Line 5,323:
|'''Input''' (Input)
|'''Input''' (Input)
|
|
This input must contian fragment
This property specifies the input to the Gradient
geometry.
Magnitude filter.
|
|


|
|
Accepts input of following types:
Accepts input of following types:
* vtkMultiBlockDataSet
* vtkImageData
The dataset must contain a field array (point)
 
with 1 component(s).
 
|-
|-
|'''Source''' (Source)
|'''Dimensionality''' (Dimensionality)
|
|
This input must contian fragment
This property indicates whether to compute the gradient
centers.
magnitude in two or three dimensions. If computing the gradient
magnitude in 2D, the gradients in X and Y are used for computing the
gradient magnitude.
|
|
 
3
|
|
Accepts input of following types:
The value(s) is an enumeration of the following:
* vtkMultiBlockDataSet
* Two (2)
|-
* Three (3)
|'''Slice Type''' (CutFunction)
|
This property sets the type of intersecting geometry,
and associated parameters.
|
 
|
The value can be one of the following:
* Plane (implicit_functions)
 
* Box (implicit_functions)
 
* Sphere (implicit_functions)
 


|}
|}


==Iso Volume==
==Gradient Of Unstructured DataSet==


This filter extracts cells by clipping cells that have point scalars not in the specified range.
Estimate the gradient for each point or cell in any type of dataset.
This filter clip away the cells using lower and upper
The Gradient (Unstructured) filter estimates the gradient
thresholds.
vector at each point or cell. It operates on any type of
vtkDataSet, and the output is the same type as the input.
If the dataset is a vtkImageData, use the Gradient filter
instead; it will be more efficient for this type of
dataset.


{| class="PropertiesTable" border="1" cellpadding="5"
{| class="PropertiesTable" border="1" cellpadding="5"
Line 4,997: Line 5,370:
|'''Input''' (Input)
|'''Input''' (Input)
|
|
This property specifies the input to the Threshold
This property specifies the input to the Gradient
filter.
(Unstructured) filter.
|
|


Line 5,004: Line 5,377:
Accepts input of following types:
Accepts input of following types:
* vtkDataSet
* vtkDataSet
The dataset much contain a field array ()
The dataset must contain a field array ()
 
with 1 component(s).


|-
|-
|'''Input Scalars''' (SelectInputScalars)
|'''Scalar Array''' (SelectInputScalars)
|
|
The value of this property contains the name of the
This property lists the name of the scalar array from
scalar array from which to perform thresholding.
which to compute the gradient.
|
|


Line 5,018: Line 5,389:
An array of scalars is required.The value must be field array name.
An array of scalars is required.The value must be field array name.
|-
|-
|'''Threshold Range''' (ThresholdBetween)
|'''ComputeGradient''' (ComputeGradient)
|
When this flag is on, the gradient filter will compute
the gradient of the input array.
|
|
The values of this property specify the upper and lower
1
bounds of the thresholding operation.
|
|
0 0
Accepts boolean values (0 or 1).
|-
|'''ResultArrayName''' (ResultArrayName)
|
|
The value must lie within the range of the selected data array.
This property provides a name for the output array
 
containing the gradient vectors.
|}
 
==K Means==
 
Compute a statistical model of a dataset and/or assess the dataset with a statistical model.
This filter either computes a statistical model of a dataset or takes
such a model as its second input. Then, the model (however it is
obtained) may optionally be used to assess the input dataset.<p>
This filter iteratively computes the center of k clusters in a space
whose coordinates are specified by the arrays you select. The clusters
are chosen as local minima of the sum of square Euclidean distances from
each point to its nearest cluster center. The model is then a set of
cluster centers. Data is assessed by assigning a cluster center and
distance to the cluster to each point in the input data
set.
 
{| class="PropertiesTable" border="1" cellpadding="5"
|-
| '''Property'''
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''
 
|-
|'''Input''' (Input)
|
|
The input to the filter. Arrays from this dataset will
Gradients
be used for computing statistics and/or assessed by a statistical
model.
|
 
|
|
Accepts input of following types:
* vtkImageData
* vtkStructuredGrid
* vtkPolyData
* vtkUnstructuredGrid
* vtkTable
* vtkGraph
The dataset much contain a field array ()


|-
|-
|'''ModelInput''' (ModelInput)
|'''FasterApproximation''' (FasterApproximation)
|
|
A previously-calculated model with which to assess a
When this flag is on, the gradient filter will provide a
separate dataset. This input is optional.
less accurate (but close) algorithm that performs fewer derivative
calculations (and is therefore faster). The error contains some
smoothing of the output data and some possible errors on the boundary.
This parameter has no effect when performing the gradient of cell
data or when the input grid is not a vtkUnstructuredGrid.
|
|
 
0
|
|
Accepts input of following types:
Accepts boolean values (0 or 1).
* vtkTable
* vtkMultiBlockDataSet
|-
|-
|'''AttributeMode''' (AttributeMode)
|'''ComputeDivergence''' (ComputeDivergence)
|
|
Specify which type of field data the arrays will be
When this flag is on, the gradient filter will compute
drawn from.
the divergence of a 3 component array.
|
|
0
0
|
|
The value must be field array name.
Accepts boolean values (0 or 1).
|-
|-
|'''Variables of Interest''' (SelectArrays)
|'''DivergenceArrayName''' (DivergenceArrayName)
|
|
Choose arrays whose entries will be used to form
This property provides a name for the output array
observations for statistical analysis.
containing the divergence vector.
|
|
 
Divergence
|
|


|-
|-
|'''Task''' (Task)
|'''ComputeVorticity''' (ComputeVorticity)
|
|
Specify the task to be performed: modeling and/or
When this flag is on, the gradient filter will compute
assessment. <ol> <li> "Detailed model of input data,"
the vorticity/curl of a 3 component array.
creates a set of output tables containing a calculated statistical
model of the <b>entire</b> input dataset;</li>
<li> "Model a subset of the data," creates an output table (or
tables) summarizing a <b>randomly-chosen subset</b> of the
input dataset;</li> <li> "Assess the data with a model,"
adds attributes to the first input dataset using a model provided on
the second input port; and</li> <li> "Model and assess the
same data," is really just operations 2 and 3 above applied to the same
input dataset. The model is first trained using a fraction of the input
data and then the entire dataset is assessed using that
model.</li> </ol> When the task includes creating a model
(i.e., tasks 2, and 4), you may adjust the fraction of the input
dataset used for training. You should avoid using a large fraction of
the input data for training as you will then not be able to detect
overfitting. The <i>Training fraction</i> setting will be
ignored for tasks 1 and 3.
|
|
3
0
|
|
The value(s) is an enumeration of the following:
Accepts boolean values (0 or 1).
* Detailed model of input data (0)
* Model a subset of the data (1)
* Assess the data with a model (2)
* Model and assess the same data (3)
|-
|-
|'''TrainingFraction''' (TrainingFraction)
|'''VorticityArrayName''' (VorticityArrayName)
|
|
Specify the fraction of values from the input dataset to
This property provides a name for the output array
be used for model fitting. The exact set of values is chosen at random
containing the vorticity vector.
from the dataset.
|
|
0.1
Vorticity
|
|


|-
|-
|'''k''' (K)
|'''ComputeQCriterion''' (ComputeQCriterion)
|
|
Specify the number of clusters.
When this flag is on, the gradient filter will compute
the Q-criterion of a 3 component array.
|
|
5
0
|
|
 
Accepts boolean values (0 or 1).
|-
|-
|'''Max Iterations''' (MaxNumIterations)
|'''QCriterionArrayName''' (QCriterionArrayName)
|
|
Specify the maximum number of iterations in which
This property provides a name for the output array
cluster centers are moved before the algorithm
containing Q criterion.
terminates.
|
|
50
Q-criterion
|
 
|-
|'''Tolerance''' (Tolerance)
|
Specify the relative tolerance that will cause early
termination.
|
0.01
|
|


Line 5,166: Line 5,476:
|}
|}


==Level Scalars(Non-Overlapping AMR)==
==Grid Connectivity==


The Level Scalars filter uses colors to show levels of a hierarchical dataset.The Level
Mass properties of connected fragments for unstructured grids.This
Scalars filter uses colors to show levels of a
filter works on multiblock unstructured grid inputs and
hierarchical dataset.
also works in parallel. It Ignores any cells with a cell
data Status value of 0. It performs connectivity to
distict fragments separately. It then integrates
attributes of the fragments.


{| class="PropertiesTable" border="1" cellpadding="5"
{| class="PropertiesTable" border="1" cellpadding="5"
Line 5,182: Line 5,495:
|'''Input''' (Input)
|'''Input''' (Input)
|
|
This property specifies the input to the Level Scalars
This property specifies the input of the
filter.
filter.
|
|
Line 5,188: Line 5,501:
|
|
Accepts input of following types:
Accepts input of following types:
* vtkNonOverlappingAMR
* vtkUnstructuredGrid
* vtkCompositeDataSet


|}
|}


==Level Scalars(Overlapping AMR)==
==Group Datasets==


The Level Scalars filter uses colors to show levels of a hierarchical dataset.The Level
Group data sets.
Scalars filter uses colors to show levels of a
Groups multiple datasets to create a multiblock
hierarchical dataset.
dataset


{| class="PropertiesTable" border="1" cellpadding="5"
{| class="PropertiesTable" border="1" cellpadding="5"
Line 5,208: Line 5,522:
|'''Input''' (Input)
|'''Input''' (Input)
|
|
This property specifies the input to the Level Scalars
This property indicates the the inputs to the Group
filter.
Datasets filter.
|
|


|
|
Accepts input of following types:
Accepts input of following types:
* vtkOverlappingAMR
* vtkDataObject


|}
|}


==Linear Extrusion==
==Histogram==


This filter creates a swept surface defined by translating the input along a vector.The Linear
Extract a histogram from field data.
Extrusion filter creates a swept surface by translating
the input dataset along a specified vector. This filter is
intended to operate on 2D polygonal data. This filter
operates on polygonal data and produces polygonal data
output.


{| class="PropertiesTable" border="1" cellpadding="5"
{| class="PropertiesTable" border="1" cellpadding="5"
Line 5,237: Line 5,546:
|'''Input''' (Input)
|'''Input''' (Input)
|
|
This property specifies the input to the Linear
This property specifies the input to the Histogram
Extrusion filter.
filter.
|
|


|
|
Accepts input of following types:
Accepts input of following types:
* vtkPolyData
* vtkDataSet
The dataset must contain a field array ()
 
|-
|-
|'''ScaleFactor''' (ScaleFactor)
|'''SelectInputArray''' (SelectInputArray)
|
|
The value of this property determines the distance along
This property indicates the name of the array from which
the vector the dataset will be translated. (A scale factor of 0.5 will
to compute the histogram.
move the dataset half the length of the vector, and a scale factor of 2
will move it twice the vector's length.)
|
|
1.0
 
|
|
 
An array of scalars is required.The value must be field array name.
|-
|-
|'''Vector''' (Vector)
|'''BinCount''' (BinCount)
|
|
The value of this property indicates the X, Y, and Z
The value of this property specifies the number of bins
components of the vector along which to sweep the input
for the histogram.
dataset.
|
|
0 0 1
10
|
|


|-
|-
|'''Capping''' (Capping)
|'''Component''' (Component)
|
The value of this property specifies the array component
from which the histogram should be computed.
|
0
|
 
|-
|'''CalculateAverages''' (CalculateAverages)
|
|
The value of this property indicates whether to cap the
This option controls whether the algorithm calculates
ends of the swept surface. Capping works by placing a copy of the input
averages of variables other than the primary variable that fall into
dataset on either end of the swept surface, so it behaves properly if
each bin.
the input is a 2D surface composed of filled polygons. If the input
dataset is a closed solid (e.g., a sphere), then if capping is on
(i.e., this property is set to 1), two copies of the data set will be
displayed on output (the second translated from the first one along the
specified vector). If instead capping is off (i.e., this property is
set to 0), then an input closed solid will produce no
output.
|
|
1
0
|
|
Accepts boolean values (0 or 1).
Accepts boolean values (0 or 1).
|-
|-
|'''PieceInvariant''' (PieceInvariant)
|'''UseCustomBinRanges''' (UseCustomBinRanges)
|
|
The value of this property determines whether the output
When set to true, CustomBinRanges will be used instead
will be the same regardless of the number of processors used to compute
of using the full range for the selected array. By default, set to
the result. The difference is whether there are internal polygonal
false.
faces on the processor boundaries. A value of 1 will keep the results
the same; a value of 0 will allow internal faces on processor
boundaries.
|
|
0
0
|
|
Accepts boolean values (0 or 1).
Accepts boolean values (0 or 1).
|-
|'''CustomBinRanges''' (CustomBinRanges)
|
Set custom bin ranges to use. These are used only when
UseCustomBinRanges is set to true.
|
0.0 100.0
|
The value must lie within the range of the selected data array.


|}
|}


==Loop Subdivision==
==Image Data To AMR==


This filter iteratively divides each triangle into four triangles. New points are placed so the output surface is smooth.
Converts certain images to AMR.
The Loop Subdivision filter increases the granularity of a
polygonal mesh. It works by dividing each triangle in the
input into four new triangles. It is named for Charles
Loop, the person who devised this subdivision scheme. This
filter only operates on triangles, so a data set that
contains other types of polygons should be passed through
the Triangulate filter before applying this filter to it.
This filter only operates on polygonal data (specifically
triangle meshes), and it produces polygonal
output.


{| class="PropertiesTable" border="1" cellpadding="5"
{| class="PropertiesTable" border="1" cellpadding="5"
Line 5,322: Line 5,628:
|'''Input''' (Input)
|'''Input''' (Input)
|
|
This property specifies the input to the Loop
 
Subdivision filter.
This property specifies the input to the Cell Data to
Point Data filter.
 
|
|


|
|
Accepts input of following types:
Accepts input of following types:
* vtkPolyData
* vtkImageData
|-
|'''Number of levels''' (NumberOfLevels)
|
 
This property specifies the number of levels in the amr data structure.
 
|
2
|
 
|-
|'''Maximum Number of Blocks''' (MaximumNumberOfLevels)
|
 
This property specifies the maximum number of blocks in the output
amr data structure.
 
|
100
|
 
|-
|-
|'''Number of Subdivisions''' (NumberOfSubdivisions)
|'''Refinement Ratio''' (RefinementRatio)
|
|
Set the number of subdivision iterations to perform.
 
Each subdivision divides single triangles into four new
This property specifies the refinement ratio between levels.
triangles.
 
|
|
1
2
|
|


Line 5,342: Line 5,671:
|}
|}


==MPIMoveData==
==Image Data To Uniform Grid==


Create a uniform grid from an image data by specified blanking arrays.
Create a vtkUniformGrid from a vtkImageData by passing in arrays to be used
for point and/or cell blanking. By default, values of 0 in the specified
array will result in a point or cell being blanked. Use Reverse to switch this.




Line 5,356: Line 5,689:
|'''Input''' (Input)
|'''Input''' (Input)
|
|
Set the input to the MPI Move Data
 
filter.
|
|


|
|
Accepts input of following types:
* vtkImageData
The dataset must contain a field array ()
with 1 component(s).


|-
|-
|'''MoveMode''' (MoveMode)
|'''SelectInputScalars''' (SelectInputScalars)
|
|
Specify how the data is to be
Specify the array to use for blanking.
redistributed.
|
|
0
 
|
|
The value(s) is an enumeration of the following:
An array of scalars is required.The value must be field array name.
* PassThrough (0)
* Collect (1)
* Clone (2)
|-
|-
|'''OutputDataType''' (OutputDataType)
|'''Reverse''' (Reverse)
|
|
Specify the type of the dataset.
Reverse the array value to whether or not a point or cell is blanked.
|
|
none
0
|
|
The value(s) is an enumeration of the following:
Accepts boolean values (0 or 1).
* PolyData (0)
* Unstructured Grid (4)
* ImageData (6)


|}
|}


==Mask Points==
==Image Data to Point Set==


Reduce the number of points. This filter is often used before glyphing. Generating vertices is an option.The Mask Points
Converts an Image Data to a Point SetThe Image
filter reduces the number of points in the dataset. It
Data to Point Set filter takes an image data (uniform
operates on any type of dataset, but produces only points
rectilinear grid) object and outputs an equivalent structured
/ vertices as output.
grid (which as a type of point set). This brings the data to a
broader category of data storage but only adds a small amount of
overhead. This filter can be helpful in applying filters that
expect or manipulate point coordinates.


{| class="PropertiesTable" border="1" cellpadding="5"
{| class="PropertiesTable" border="1" cellpadding="5"
Line 5,405: Line 5,738:
|'''Input''' (Input)
|'''Input''' (Input)
|
|
This property specifies the input to the Mask Points
 
filter.
|
|


|
|
Accepts input of following types:
Accepts input of following types:
* vtkDataSet
* vtkImageData
 
|}
 
==Image Shrink==
 
Reduce the size of an image/volume by subsampling.The Image Shrink
filter reduces the size of an image/volume dataset by
subsampling it (i.e., extracting every nth pixel/voxel in
integer multiples). The sbsampling rate can be set
separately for each dimension of the
image/volume.
 
{| class="PropertiesTable" border="1" cellpadding="5"
|-
| '''Property'''
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''
 
|-
|-
|'''OnRatio''' (OnRatio)
|'''Input''' (Input)
|
|
The value of this property specifies that every
This property specifies the input to the Image Shrink
OnStride-th points will be retained in the output when not using Random
filter.
(the skip or stride size for point ids). (For example, if the on ratio
is 3, then the output will contain every 3rd point, up to the the
maximum number of points.)
|
|
2
 
|
|
 
Accepts input of following types:
* vtkImageData
|-
|-
|'''Maximum Number of Points''' (MaximumNumberOfPoints)
|'''ShrinkFactors''' (ShrinkFactors)
|
|
The value of this property indicates the maximum number
The value of this property indicates the amount by which
of points in the output dataset.
to shrink along each axis.
|
|
5000
1 1 1
|
|


|-
|-
|'''Proportionally Distribute Maximum Number Of Points''' (ProportionalMaximumNumberOfPoints)
|'''Averaging''' (Averaging)
|
If the value of this property is 1, an average of
neighborhood scalar values will be used as the output scalar value for
each output point. If its value is 0, only subsampling will be
performed, and the original scalar values at the points will be
retained.
|
|
When this is off, the maximum number of points is taken
1
per processor when running in parallel (total number of points = number
of processors * maximum number of points). When this is on, the maximum
number of points is proportionally distributed across processors
depending on the number of points per processor
("total number of points" is the same as "maximum number of points"
maximum number of points per processor = number of points on a processor
* maximum number of points / total number of points across all processors
).
 
|
0
|
|
Accepts boolean values (0 or 1).
Accepts boolean values (0 or 1).
|}
==ImageResampling==
Sample data attributes using a 3D image as probing mesh.
{| class="PropertiesTable" border="1" cellpadding="5"
|-
|-
|'''Offset''' (Offset)
| '''Property'''
|
| '''Description'''
The value of this property indicates the starting point
| '''Default Value(s)'''
id in the ordered list of input points from which to start
| '''Restrictions'''
masking.
|
0
|


|-
|-
|'''Random Sampling''' (RandomMode)
|'''Input''' (Input)
|
|
If the value of this property is set to true, then the
This property specifies the dataset whose data will
points in the output will be randomly selected from the input in
be probed
various ways set by Random Mode; otherwise this filter will subsample
point ids regularly.
|
|
0
 
|
|
Accepts boolean values (0 or 1).
Accepts input of following types:
* vtkDataSet
* vtkCompositeDataSet
|-
|-
|'''Random Sampling Mode''' (RandomModeType)
|'''SamplingDimension''' (SamplingDimension)
|
|
Randomized Id Strides picks points with random id
 
increments starting at Offset (the output probably isn't a
How many linear resampling we want along each axis
statistically random sample). Random Sampling generates a statistically
 
random sample of the input, ignoring Offset (fast - O(sample size)).
Spatially Stratified Random Sampling is a variant of random sampling
that splits the points into equal sized spatial strata before randomly
sampling (slow - O(N log N)).
|
|
0
10 10 10
|
|
The value(s) is an enumeration of the following:
 
* Randomized Id Strides (0)
* Random Sampling (1)
* Spatially Stratified Random Sampling (2)
|-
|-
|'''GenerateVertices''' (GenerateVertices)
|'''UseInputBounds''' (UseInputBounds)
|
|
This property specifies whether to generate vertex cells
 
as the topography of the output. If set to 1, the geometry (vertices)
Do we use input bounds or custom ones?
will be displayed in the rendering window; otherwise no geometry will
 
be displayed.
|
|
0
1
|
|
Accepts boolean values (0 or 1).
Accepts boolean values (0 or 1).
|-
|-
|'''SingleVertexPerCell''' (SingleVertexPerCell)
|'''CustomSamplingBounds''' (CustomSamplingBounds)
|
|
Tell filter to only generate one vertex per cell instead
 
of multiple vertices in one cell.
Custom probing bounds if needed
 
|
|
0
0 1 0 1 0 1
|
|
Accepts boolean values (0 or 1).
 


|}
|}


==Material Interface Filter==
==InSituParticlePath==


The Material Interface filter finds volumes in the input data containg material above a certain material fraction.
Trace Particle Paths through time in a vector field.
The Material Interface filter finds voxels inside of which a material
The Particle Trace filter generates pathlines in a vector
fraction (or normalized amount of material) is higher than a given
field from a collection of seed points. The vector field
threshold. As these voxels are identified surfaces enclosing adjacent
used is selected from the Vectors menu, so the input data
voxels above the threshold are generated. The resulting volume and its
set is required to have point-centered vectors. The Seed
surface are what we call a fragment. The filter has the ability to
portion of the interface allows you to select whether the
compute various volumetric attributes such as fragment volume, mass,
seed points for this integration lie in a point cloud or
center of mass as well as volume and mass weighted averages for any of
along a line. Depending on which is selected, the
the fields present. Any field selected for such computation will be also
appropriate 3D widget (point or line widget) is displayed
be coppied into the fragment surface's point data for visualization. The
along with traditional user interface controls for
filter also has the ability to generate Oriented Bounding Boxes (OBB) for
positioning the point cloud or line within the data set.
each fragment. The data generated by the filter is organized in three
Instructions for using the 3D widgets and the
outputs. The "geometry" output, containing the fragment surfaces. The
corresponding manual controls can be found in section 7.4.
"statistics" output, containing a point set of the centers of mass. The
This filter operates on any type of data set, provided it
"obb representaion" output, containing OBB representations (poly data).
has point-centered vectors. The output is polygonal data
All computed attributes are coppied into the statistics and geometry
containing polylines. This filter is available on the
output. The obb representation output is used for validation and
Toolbar.
debugging puproses and is turned off by default. To measure the size of
craters, the filter can invert a volume fraction and clip the volume
fraction with a sphere and/or a plane.


{| class="PropertiesTable" border="1" cellpadding="5"
{| class="PropertiesTable" border="1" cellpadding="5"
Line 5,542: Line 5,880:


|-
|-
|'''Input''' (Input)
|'''Restart Source''' (RestartSource)
|
|
Input to the filter can be a hierarchical box data set
Specify the restart dataset. This is optional and
containing image data or a multi-block of rectilinear
can be used to have particle histories that were computed
grids.
previously be included in this filter's computation.
|
|


|
|
Accepts input of following types:
Accepts input of following types:
* vtkNonOverlappingAMR
* vtkDataSet
The dataset much contain a field array (cell)
 
|-
|-
|'''Select Material Fraction Arrays''' (SelectMaterialArray)
|'''ClearCache''' (ClearCache)
|
|
Material fraction is defined as normalized amount of
Clear the particle cache from previous time steps.
material per voxel. It is expected that arrays containing material
 
fraction data has been down converted to a unsigned
char.
|
|
 
0
|
|
An array of scalars is required.
Accepts boolean values (0 or 1).
|-
|-
|'''Material Fraction Threshold''' (MaterialFractionThreshold)
|'''FirstTimeStep''' (FirstTimeStep)
|
|
Material fraction is defined as normalized amount of
Set the first time step. Default is 0.
material per voxel. Any voxel in the input data set with a material
 
fraction greater than this value is included in the output data
set.
|
|
0.5
0
|
|


|-
|-
|'''InvertVolumeFraction''' (InvertVolumeFraction)
|'''RestartedSimulation''' (RestartedSimulation)
|
|
Inverting the volume fraction generates the negative of
Specify whether or not this is a restarted simulation.
the material. It is useful for analyzing craters.
|
|
0
0
Line 5,586: Line 5,917:
Accepts boolean values (0 or 1).
Accepts boolean values (0 or 1).
|-
|-
|'''Clip Type''' (ClipFunction)
|'''DisableResetCache''' (DisableResetCache)
|
Prevents cache from getting reset so that new computation
always start from previous results.
|
|
This property sets the type of clip geometry, and
0
associated parameters.
|
|
Accepts boolean values (0 or 1).


|
|}
The value can be one of the following:
* None (implicit_functions)


* Plane (implicit_functions)
==Integrate Variables==


* Sphere (implicit_functions)
This filter integrates cell and point attributes.
The Integrate Attributes filter integrates point and cell
data over lines and surfaces. It also computes length of
lines, area of surface, or volume.


{| class="PropertiesTable" border="1" cellpadding="5"
|-
|-
|'''Select Mass Arrays''' (SelectMassArray)
| '''Property'''
|
| '''Description'''
Mass arrays are paired with material fraction arrays.
| '''Default Value(s)'''
This means that the first selected material fraction array is paired
| '''Restrictions'''
with the first selected mass array, and so on sequentially. As the
filter identifies voxels meeting the minimum material fraction
threshold, these voxel's mass will be used in fragment center of mass
and mass calculation. A warning is generated if no mass array is
selected for an individual material fraction array. However, in that
case the filter will run without issue because the statistics output
can be generated using fragments' centers computed from axis aligned
bounding boxes.
|


|
An array of scalars is required.
|-
|-
|'''Compute volume weighted average over:''' (SelectVolumeWtdAvgArray)
|'''Input''' (Input)
|
|
Specifies the arrays from which to volume weighted
This property specifies the input to the Integrate
average. For arrays selected a volume weighted average is
Attributes filter.
computed. The values of these arrays are also coppied into fragment
geometry cell data as the fragment surfaces are
generated.
|
|


|
|
Accepts input of following types:
* vtkDataSet
|}


|-
==Interpolate to Quadrature Points==
|'''Compute mass weighted average over:''' (SelectMassWtdAvgArray)
|
For arrays selected a mass weighted average is computed.
These arrays are also coppied into fragment geometry cell data as the
fragment surfaces are generated.
|


|
Create scalar/vector data arrays interpolated to quadrature points.
"Create scalar/vector data arrays interpolated to quadrature
points."


{| class="PropertiesTable" border="1" cellpadding="5"
|-
|-
|'''ComputeOBB''' (ComputeOBB)
| '''Property'''
|
| '''Description'''
Compute Object Oriented Bounding boxes (OBB). When
| '''Default Value(s)'''
active the result of this computation is coppied into the statistics
| '''Restrictions'''
output. In the case that the filter is built in its validation mode,
 
the OBB's are rendered.
|
0
|
Accepts boolean values (0 or 1).
|-
|-
|'''WriteGeometryOutput''' (WriteGeometryOutput)
|'''Input''' (Input)
|
|
If this property is set, then the geometry output is
This property specifies the input of the filter.
written to a text file. The file name will be coonstructed using the
path in the "Output Base Name" widget.
|
|
0
 
|
|
Accepts boolean values (0 or 1).
Accepts input of following types:
* vtkUnstructuredGrid
The dataset must contain a field array (cell)
 
|-
|-
|'''WriteStatisticsOutput''' (WriteStatisticsOutput)
|'''Quadrature Scheme Def''' (QuadratureSchemeDefinition)
|
|
If this property is set, then the statistics output is
Specifies the offset array from which we interpolate
written to a text file. The file name will be coonstructed using the
values to quadrature points.
path in the "Output Base Name" widget.
|
0
|
Accepts boolean values (0 or 1).
|-
|'''OutputBaseName''' (OutputBaseName)
|
This property specifies the base including path of where
to write the statistics and gemoetry output text files. It follows the
pattern "/path/to/folder/and/file" here file has no extention, as the
filter will generate a unique extention.
|
|


|
|
 
An array of scalars is required.


|}
|}


==Median==
==Intersect Fragments==


Compute the median scalar values in a specified neighborhood for image/volume datasets.
The Intersect Fragments filter perform geometric intersections on sets of fragments.
The Median filter operates on uniform rectilinear (image
The Intersect Fragments filter perform geometric intersections on sets of
or volume) data and produces uniform rectilinear output.
fragments. The filter takes two inputs, the first containing fragment
It replaces the scalar value at each pixel / voxel with
geometry and the second containing fragment centers. The filter has two
the median scalar value in the specified surrounding
outputs. The first is geometry that results from the intersection. The
neighborhood. Since the median operation removes outliers,
second is a set of points that is an approximation of the center of where
this filter is useful for removing high-intensity,
each fragment has been intersected.
low-probability noise (shot noise).


{| class="PropertiesTable" border="1" cellpadding="5"
{| class="PropertiesTable" border="1" cellpadding="5"
Line 5,705: Line 6,011:
|'''Input''' (Input)
|'''Input''' (Input)
|
|
This property specifies the input to the Median
This input must contian fragment
filter.
geometry.
|
|


|
|
Accepts input of following types:
Accepts input of following types:
* vtkImageData
* vtkMultiBlockDataSet
The dataset much contain a field array (point)
 
with 1 component(s).
 
|-
|-
|'''SelectInputScalars''' (SelectInputScalars)
|'''Source''' (Source)
|
|
The value of this property lists the name of the scalar
This input must contian fragment
array to use in computing the median.
centers.
|
|


|
|
An array of scalars is required.
Accepts input of following types:
* vtkMultiBlockDataSet
|-
|-
|'''KernelSize''' (KernelSize)
|'''Slice Type''' (CutFunction)
|
|
The value of this property specifies the number of
This property sets the type of intersecting geometry,
pixels/voxels in each dimension to use in computing the median to
and associated parameters.
assign to each pixel/voxel. If the kernel size in a particular
dimension is 1, then the median will not be computed in that
direction.
|
|
1 1 1
 
|
|
The value can be one of the following:
* Plane (implicit_functions)
* Box (implicit_functions)
* Sphere (implicit_functions)




|}
|}


==Merge Blocks==
==Iso Volume==


Appends vtkCompositeDataSet leaves into a single vtkUnstructuredGrid
This filter extracts cells by clipping cells that have point scalars not in the specified range.
vtkCompositeDataToUnstructuredGridFilter appends all vtkDataSet leaves of
This filter clip away the cells using lower and upper
the input composite dataset to a single unstructure grid. The subtree to
thresholds.
be combined can be choosen using the SubTreeCompositeIndex. If the
SubTreeCompositeIndex is a leaf node, then no appending is
required.


{| class="PropertiesTable" border="1" cellpadding="5"
{| class="PropertiesTable" border="1" cellpadding="5"
Line 5,759: Line 6,062:
|'''Input''' (Input)
|'''Input''' (Input)
|
|
Set the input composite dataset.
This property specifies the input to the Threshold
filter.
|
|


|
|
Accepts input of following types:
Accepts input of following types:
* vtkCompositeDataSet
* vtkDataSet
The dataset must contain a field array ()
 
with 1 component(s).
 
|-
|-
|'''SubTreeCompositeIndex''' (SubTreeCompositeIndex)
|'''Input Scalars''' (SelectInputScalars)
|
|
Select the index of the subtree to be appended. For now,
The value of this property contains the name of the
this property is internal.
scalar array from which to perform thresholding.
|
|
0
 
|
|
 
An array of scalars is required.The value must be field array name.
|-
|-
|'''Merge Points''' (MergePoints)
|'''Threshold Range''' (ThresholdBetween)
|
|
 
The values of this property specify the upper and lower
bounds of the thresholding operation.
|
|
1
0 0
|
|
Accepts boolean values (0 or 1).
The value must lie within the range of the selected data array.


|}
|}


==Mesh Quality==
==K Means==


This filter creates a new cell array containing a geometric measure of each cell's fitness. Different quality measures can be chosen for different cell shapes.This filter
Compute a statistical model of a dataset and/or assess the dataset with a statistical model.
creates a new cell array containing a geometric measure of
This filter either computes a statistical model of a dataset or takes
each cell's fitness. Different quality measures can be
such a model as its second input. Then, the model (however it is
chosen for different cell shapes. Supported shapes include
obtained) may optionally be used to assess the input dataset.<p>
triangles, quadrilaterals, tetrahedra, and hexahedra. For
This filter iteratively computes the center of k clusters in a space
other shapes, a value of 0 is assigned.
whose coordinates are specified by the arrays you select. The clusters
are chosen as local minima of the sum of square Euclidean distances from
each point to its nearest cluster center. The model is then a set of
cluster centers. Data is assessed by assigning a cluster center and
distance to the cluster to each point in the input data
set.


{| class="PropertiesTable" border="1" cellpadding="5"
{| class="PropertiesTable" border="1" cellpadding="5"
Line 5,804: Line 6,118:
|'''Input''' (Input)
|'''Input''' (Input)
|
|
This property specifies the input to the Mesh Quality
The input to the filter. Arrays from this dataset will
filter.
be used for computing statistics and/or assessed by a statistical
model.
|
|


|
|
Accepts input of following types:
Accepts input of following types:
* vtkDataSet
* vtkImageData
* vtkStructuredGrid
* vtkPolyData
* vtkUnstructuredGrid
* vtkTable
* vtkGraph
The dataset must contain a field array ()
 
|-
|-
|'''TriangleQualityMeasure''' (TriangleQualityMeasure)
|'''ModelInput''' (ModelInput)
|
A previously-calculated model with which to assess a
separate dataset. This input is optional.
|
|
This property indicates which quality measure will be
 
used to evaluate triangle quality. The radius ratio is the size of a
circle circumscribed by a triangle's 3 vertices divided by the size of
a circle tangent to a triangle's 3 edges. The edge ratio is the ratio
of the longest edge length to the shortest edge length.
|
|
2
Accepts input of following types:
* vtkTable
* vtkMultiBlockDataSet
|-
|'''AttributeMode''' (AttributeMode)
|
|
The value(s) is an enumeration of the following:
Specify which type of field data the arrays will be
* Area (28)
drawn from.
* Aspect Ratio (1)
* Aspect Frobenius (3)
* Condition (9)
* Distortion (15)
* Edge Ratio (0)
* Maximum Angle (8)
* Minimum Angle (6)
* Scaled Jacobian (10)
* Radius Ratio (2)
* Relative Size Squared (12)
* Shape (13)
* Shape and Size (14)
|-
|'''QuadQualityMeasure''' (QuadQualityMeasure)
|
This property indicates which quality measure will be
used to evaluate quadrilateral quality.
|
|
0
0
|
|
The value(s) is an enumeration of the following:
The value must be field array name.
* Area (28)
* Aspect Ratio (1)
* Condition (9)
* Distortion (15)
* Edge Ratio (0)
* Jacobian (25)
* Maximum Aspect Frobenius (5)
* Maximum Aspect Frobenius (5)
* Maximum Edge Ratio (16)
* Mean Aspect Frobenius (4)
* Minimum Angle (6)
* Oddy (23)
* Radius Ratio (2)
* Relative Size Squared (12)
* Scaled Jacobian (10)
* Shape (13)
* Shape and Size (14)
* Shear (11)
* Shear and Size (24)
* Skew (17)
* Stretch (20)
* Taper (18)
* Warpage (26)
|-
|-
|'''TetQualityMeasure''' (TetQualityMeasure)
|'''Variables of Interest''' (SelectArrays)
|
Choose arrays whose entries will be used to form
observations for statistical analysis.
|
|
This property indicates which quality measure will be
 
used to evaluate tetrahedral quality. The radius ratio is the size of a
sphere circumscribed by a tetrahedron's 4 vertices divided by the size
of a circle tangent to a tetrahedron's 4 faces. The edge ratio is the
ratio of the longest edge length to the shortest edge length. The
collapse ratio is the minimum ratio of height of a vertex above the
triangle opposite it divided by the longest edge of the opposing
triangle across all vertex/triangle pairs.
|
|
2
 
|-
|'''Task''' (Task)
|
|
The value(s) is an enumeration of the following:
Specify the task to be performed: modeling and/or
* Edge Ratio (0)
assessment. <ol> <li> "Detailed model of input data,"
* Aspect Beta (29)
creates a set of output tables containing a calculated statistical
* Aspect Gamma (27)
model of the <b>entire</b> input dataset;</li>
* Aspect Frobenius (3)
<li> "Model a subset of the data," creates an output table (or
* Aspect Ratio (1)
tables) summarizing a <b>randomly-chosen subset</b> of the
* Collapse Ratio (7)
input dataset;</li> <li> "Assess the data with a model,"
* Condition (9)
adds attributes to the first input dataset using a model provided on
* Distortion (15)
the second input port; and</li> <li> "Model and assess the
* Jacobian (25)
same data," is really just operations 2 and 3 above applied to the same
* Minimum Dihedral Angle (6)
input dataset. The model is first trained using a fraction of the input
* Radius Ratio (2)
data and then the entire dataset is assessed using that
* Relative Size Squared (12)
model.</li> </ol> When the task includes creating a model
* Scaled Jacobian (10)
(i.e., tasks 2, and 4), you may adjust the fraction of the input
* Shape (13)
dataset used for training. You should avoid using a large fraction of
* Shape and Size (14)
the input data for training as you will then not be able to detect
* Volume (19)
overfitting. The <i>Training fraction</i> setting will be
ignored for tasks 1 and 3.
|
3
|
The value(s) is an enumeration of the following:
* Detailed model of input data (0)
* Model a subset of the data (1)
* Assess the data with a model (2)
* Model and assess the same data (3)
|-
|'''TrainingFraction''' (TrainingFraction)
|
Specify the fraction of values from the input dataset to
be used for model fitting. The exact set of values is chosen at random
from the dataset.
|
0.1
|
 
|-
|-
|'''HexQualityMeasure''' (HexQualityMeasure)
|'''k''' (K)
|
|
This property indicates which quality measure will be
Specify the number of clusters.
used to evaluate hexahedral quality.
|
|
5
5
|
|
The value(s) is an enumeration of the following:
 
* Diagonal (21)
|-
* Dimension (22)
|'''Max Iterations''' (MaxNumIterations)
* Distortion (15)
|
* Edge Ratio (0)
Specify the maximum number of iterations in which
* Jacobian (25)
cluster centers are moved before the algorithm
* Maximum Edge Ratio (16)
terminates.
* Maximum Aspect Frobenius (5)
|
* Mean Aspect Frobenius (4)
50
* Oddy (23)
|
* Relative Size Squared (12)
 
* Scaled Jacobian (10)
|-
* Shape (13)
|'''Tolerance''' (Tolerance)
* Shape and Size (14)
|
* Shear (11)
Specify the relative tolerance that will cause early
* Shear and Size (24)
termination.
* Skew (17)
|
* Stretch (20)
0.01
* Taper (18)
|
* Volume (19)
 


|}
|}


==MinMax==
==Legacy Glyph==


This filter generates an arrow, cone, cube, cylinder, line, sphere, or 2D glyph at each point of the input data set. The glyphs can be oriented and scaled by point attributes of the input dataset.
This the implementation of the Glyph filter available in ParaView version 4.1 and earlier.




Line 5,944: Line 6,247:
|'''Input''' (Input)
|'''Input''' (Input)
|
|
Set the input to the Min Max filter.
This property specifies the input to the Glyph filter.
This is the dataset to which the glyphs will be
applied.
|
|


Line 5,950: Line 6,255:
Accepts input of following types:
Accepts input of following types:
* vtkDataSet
* vtkDataSet
The dataset must contain a field array (point)
with 1 component(s).
The dataset must contain a field array (point)
with 3 component(s).
|-
|-
|'''Operation''' (Operation)
|'''Scalars''' (SelectInputScalars)
|
This property indicates the name of the scalar array on
which to operate. The indicated array may be used for scaling the
glyphs. (See the SetScaleMode property.)
|
 
|
|
Select whether to perform a min, max, or sum operation
An array of scalars is required.
on the data.
|-
|'''Vectors''' (SelectInputVectors)
|
|
MIN
This property indicates the name of the vector array on
which to operate. The indicated array may be used for scaling and/or
orienting the glyphs. (See the SetScaleMode and SetOrient
properties.)
|
|
The value(s) can be one of the following:
1
* MIN
|
* MAX
An array of vectors is required.
* SUM
 
|}
 
==Multicorrelative Statistics==
 
Compute a statistical model of a dataset and/or assess the dataset with a statistical model.
This filter either computes a statistical model of a dataset or takes
such a model as its second input. Then, the model (however it is
obtained) may optionally be used to assess the input dataset.<p>
This filter computes the covariance matrix for all the arrays you select
plus the mean of each array. The model is thus a multivariate Gaussian
distribution with the mean vector and variances provided. Data is
assessed using this model by computing the Mahalanobis distance for each
input point. This distance will always be positive.<p> The learned
model output format is rather dense and can be confusing, so it is
discussed here. The first filter output is a multiblock dataset
consisting of 2 tables: <ol> <li> Raw covariance data.
<li> Covariance matrix and its Cholesky decomposition. </ol>
The raw covariance table has 3 meaningful columns: 2 titled "Column1" and
"Column2" whose entries generally refer to the N arrays you selected when
preparing the filter and 1 column titled "Entries" that contains numeric
values. The first row will always contain the number of observations in
the statistical analysis. The next N rows contain the mean for each of
the N arrays you selected. The remaining rows contain covariances of
pairs of arrays.<p> The second table (covariance matrix and
Cholesky decomposition) contains information derived from the raw
covariance data of the first table. The first N rows of the first column
contain the name of one array you selected for analysis. These rows are
followed by a single entry labeled "Cholesky" for a total of N+1 rows.
The second column, Mean contains the mean of each variable in the first N
entries and the number of observations processed in the final (N+1)
row.<p> The remaining columns (there are N, one for each array)
contain 2 matrices in triangular format. The upper right triangle
contains the covariance matrix (which is symmetric, so its lower triangle
may be inferred). The lower left triangle contains the Cholesky
decomposition of the covariance matrix (which is triangular, so its upper
triangle is zero). Because the diagonal must be stored for both matrices,
an additional row is required — hence the N+1 rows and
the final entry of the column named "Column".
 
{| class="PropertiesTable" border="1" cellpadding="5"
|-
|-
| '''Property'''
|'''Glyph Type''' (Source)
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''
 
|-
|'''Input''' (Input)
|
|
The input to the filter. Arrays from this dataset will
This property determines which type of glyph will be
be used for computing statistics and/or assessed by a statistical
placed at the points in the input dataset.
model.
|
|


|
|
Accepts input of following types:
Accepts input of following types:
* vtkImageData
* vtkPolyDataThe value can be one of the following:
* vtkStructuredGrid
* ArrowSource (sources)
* vtkPolyData
* vtkUnstructuredGrid
* vtkTable
* vtkGraph
The dataset much contain a field array ()


|-
* ConeSource (sources)
|'''ModelInput''' (ModelInput)
 
|
* CubeSource (sources)
A previously-calculated model with which to assess a
 
separate dataset. This input is optional.
* CylinderSource (sources)
|
 
* LineSource (sources)
 
* SphereSource (sources)
 
* GlyphSource2D (sources)


|
Accepts input of following types:
* vtkTable
* vtkMultiBlockDataSet
|-
|-
|'''AttributeMode''' (AttributeMode)
|'''GlyphTransform''' (GlyphTransform)
|
|
Specify which type of field data the arrays will be
The values in this property allow you to specify the
drawn from.
transform (translation, rotation, and scaling) to apply to the glyph
source.
|
|
0
 
|
|
The value must be field array name.
The value can be one of the following:
* Transform2 (extended_sources)
 
|-
|-
|'''Variables of Interest''' (SelectArrays)
|'''Orient''' (SetOrient)
|
|
Choose arrays whose entries will be used to form
If this property is set to 1, the glyphs will be
observations for statistical analysis.
oriented based on the selected vector array.
|
|
 
1
|
|
 
Accepts boolean values (0 or 1).
|-
|-
|'''Task''' (Task)
|'''Scale Mode''' (SetScaleMode)
|
|
Specify the task to be performed: modeling and/or
The value of this property specifies how/if the glyphs
assessment. <ol> <li> "Detailed model of input data,"
should be scaled based on the point-centered scalars/vectors in the
creates a set of output tables containing a calculated statistical
input dataset.
model of the <b>entire</b> input dataset;</li>
<li> "Model a subset of the data," creates an output table (or
tables) summarizing a <b>randomly-chosen subset</b> of the
input dataset;</li> <li> "Assess the data with a model,"
adds attributes to the first input dataset using a model provided on
the second input port; and</li> <li> "Model and assess the
same data," is really just operations 2 and 3 above applied to the same
input dataset. The model is first trained using a fraction of the input
data and then the entire dataset is assessed using that
model.</li> </ol> When the task includes creating a model
(i.e., tasks 2, and 4), you may adjust the fraction of the input
dataset used for training. You should avoid using a large fraction of
the input data for training as you will then not be able to detect
overfitting. The <i>Training fraction</i> setting will be
ignored for tasks 1 and 3.
|
|
3
1
|
|
The value(s) is an enumeration of the following:
The value(s) is an enumeration of the following:
* Detailed model of input data (0)
* scalar (0)
* Model a subset of the data (1)
* vector (1)
* Assess the data with a model (2)
* vector_components (2)
* Model and assess the same data (3)
* off (3)
|-
|-
|'''TrainingFraction''' (TrainingFraction)
|'''SetScaleFactor''' (SetScaleFactor)
|
|
Specify the fraction of values from the input dataset to
The value of this property will be used as a multiplier
be used for model fitting. The exact set of values is chosen at random
for scaling the glyphs before adding them to the
from the dataset.
output.
|
|
0.1
1.0
|
|
The value must lie within the range of the selected data array.The value must lie within the range of the selected data array.
The value must be less than the largest dimension of the
dataset multiplied by a scale factor of
0.1.


|}
==Octree Depth Limit==
This filter takes in a octree and produces a new octree which is no deeper than the maximum specified depth level.The Octree
Depth Limit filter takes in an octree and produces a new
octree that is nowhere deeper than the maximum specified
depth level. The attribute data of pruned leaf cells are
integrated in to their ancestors at the cut
level.
{| class="PropertiesTable" border="1" cellpadding="5"
|-
|-
| '''Property'''
|'''Maximum Number of Points''' (MaximumNumberOfPoints)
| '''Description'''
|
| '''Default Value(s)'''
The value of this property specifies the maximum number
| '''Restrictions'''
of glyphs that should appear in the output dataset if the value of the
UseMaskPoints property is 1. (See the UseMaskPoints
property.)
|
5000
|


|-
|-
|'''Input''' (Input)
|'''Mask Points''' (UseMaskPoints)
|
|
This property specifies the input to the Octree Depth
If the value of this property is set to 1, limit the
Limit filter.
maximum number of glyphs to the value indicated by
MaximumNumberOfPoints. (See the MaximumNumberOfPoints
property.)
|
|
 
1
|
|
Accepts input of following types:
Accepts boolean values (0 or 1).
* vtkHyperOctree
|-
|-
|'''MaximumLevel''' (MaximumLevel)
|'''RandomMode''' (RandomMode)
|
|
The value of this property specifies the maximum depth
If the value of this property is 1, then the points to
of the output octree.
glyph are chosen randomly. Otherwise the point ids chosen are evenly
spaced.
|
|
4
1
|
|
Accepts boolean values (0 or 1).
|-
|'''KeepRandomPoints''' (KeepRandomPoints)
|
If the value of this property is 1 and RandomMode is
1, then the randomly chosen points to glyph are saved and reused for
other timesteps. This is only useful if the coordinates are the same
and in the same order between timesteps.
|
0
|
Accepts boolean values (0 or 1).


|}
|}


==Octree Depth Scalars==
==LegacyArbitrarySourceGlyph==


This filter adds a scalar to each leaf of the octree that represents the leaf's depth within the tree.The
This filter generates a glyph at each point of the input data set. The glyphs can be oriented and scaled by point attributes of the input dataset.
vtkHyperOctreeDepth filter adds a scalar to each leaf of
The Glyph filter generates a glyph at each point in the input dataset.
the octree that represents the leaf's depth within the
The glyphs can be oriented and scaled by the input point-centered scalars
tree.
and vectors. The Glyph filter operates on any type of data set. Its
output is polygonal. This filter is available on the
Toolbar.


{| class="PropertiesTable" border="1" cellpadding="5"
{| class="PropertiesTable" border="1" cellpadding="5"
Line 6,153: Line 6,423:
|'''Input''' (Input)
|'''Input''' (Input)
|
|
This property specifies the input to the Octree Depth
This property specifies the input to the Glyph filter.
Scalars filter.
This is the dataset to which the glyphs will be
applied.
|
|


|
|
Accepts input of following types:
Accepts input of following types:
* vtkHyperOctree
* vtkDataSet
The dataset must contain a field array (point)


|}
with 1 component(s).
 
==OrderedCompositeDistributor==


The dataset must contain a field array (point)


with 3 component(s).


{| class="PropertiesTable" border="1" cellpadding="5"
|-
|-
| '''Property'''
|'''Glyph Type''' (Source)
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''
 
|-
|'''Input''' (Input)
|
|
Set the input to the Ordered Composite Distributor
This property determines which type of glyph will be
filter.
placed at the points in the input dataset.
|
|


|
|
 
Accepts input of following types:
* vtkPolyData
|-
|-
|'''PassThrough''' (PassThrough)
|'''Scalars''' (SelectInputScalars)
|
|
Toggle whether to pass the data through without
This property indicates the name of the scalar array on
compositing.
which to operate. The indicated array may be used for scaling the
glyphs. (See the SetScaleMode property.)
|
|
0
 
|
|
Accepts boolean values (0 or 1).
An array of scalars is required.
|-
|-
|'''PKdTree''' (PKdTree)
|'''Vectors''' (SelectInputVectors)
|
|
Set the vtkPKdTree to distribute with.
This property indicates the name of the vector array on
which to operate. The indicated array may be used for scaling and/or
orienting the glyphs. (See the SetScaleMode and SetOrient
properties.)
|
|
 
1
|
|
 
An array of vectors is required.
|-
|-
|'''OutputType''' (OutputType)
|'''Orient''' (SetOrient)
|
|
When not empty, the output will be converted to the
If this property is set to 1, the glyphs will be
given type.
oriented based on the selected vector array.
|
|
 
1
|
|
 
Accepts boolean values (0 or 1).
 
|}
 
==Outline==
 
This filter generates a bounding box representation of the input.The Outline filter
generates an axis-aligned bounding box for the input
dataset. This filter operates on any type of dataset and
produces polygonal output.
 
{| class="PropertiesTable" border="1" cellpadding="5"
|-
|-
| '''Property'''
|'''Scale Mode''' (SetScaleMode)
| '''Description'''
|
| '''Default Value(s)'''
The value of this property specifies how/if the glyphs
| '''Restrictions'''
should be scaled based on the point-centered scalars/vectors in the
 
input dataset.
|
1
|
The value(s) is an enumeration of the following:
* scalar (0)
* vector (1)
* vector_components (2)
* off (3)
|-
|-
|'''Input''' (Input)
|'''SetScaleFactor''' (SetScaleFactor)
|
The value of this property will be used as a multiplier
for scaling the glyphs before adding them to the
output.
|
|
This property specifies the input to the Outline
1.0
filter.
|
|
The value must lie within the range of the selected data array.The value must lie within the range of the selected data array.
The value must be less than the largest dimension of the
dataset multiplied by a scale factor of
0.1.


|-
|'''Maximum Number of Points''' (MaximumNumberOfPoints)
|
The value of this property specifies the maximum number
of glyphs that should appear in the output dataset if the value of the
UseMaskPoints property is 1. (See the UseMaskPoints
property.)
|
5000
|
|
Accepts input of following types:
* vtkDataSet
|}
==Outline Corners==


This filter generates a bounding box representation of the input. It only displays the corners of the bounding box.The
Outline Corners filter generates the corners of a bounding
box for the input dataset. This filter operates on any
type of dataset and produces polygonal
output.
{| class="PropertiesTable" border="1" cellpadding="5"
|-
|-
| '''Property'''
|'''Mask Points''' (UseMaskPoints)
| '''Description'''
|
| '''Default Value(s)'''
If the value of this property is set to 1, limit the
| '''Restrictions'''
maximum number of glyphs to the value indicated by
 
MaximumNumberOfPoints. (See the MaximumNumberOfPoints
property.)
|
1
|
Accepts boolean values (0 or 1).
|-
|-
|'''Input''' (Input)
|'''RandomMode''' (RandomMode)
|
|
This property specifies the input to the Outline Corners
If the value of this property is 1, then the points to
filter.
glyph are chosen randomly. Otherwise the point ids chosen are evenly
spaced.
|
|
 
1
|
|
Accepts input of following types:
Accepts boolean values (0 or 1).
* vtkDataSet
|-
|-
|'''CornerFactor''' (CornerFactor)
|'''KeepRandomPoints''' (KeepRandomPoints)
|
|
The value of this property sets the size of the corners
If the value of this property is 1 and RandomMode is
as a percentage of the length of the corresponding bounding box
1, then the randomly chosen points to glyph are saved and reused for
edge.
other timesteps. This is only useful if the coordinates are the same
and in the same order between timesteps.
 
|
|
0.2
0
|
|
 
Accepts boolean values (0 or 1).


|}
|}


==Outline Curvilinear DataSet==
==Level Scalars(Non-Overlapping AMR)==


This filter generates an outline representation of the input.The Outline filter
The Level Scalars filter uses colors to show levels of a hierarchical dataset.The Level
generates an outline of the outside edges of the input
Scalars filter uses colors to show levels of a
dataset, rather than the dataset's bounding box. This
hierarchical dataset.
filter operates on structured grid datasets and produces
polygonal output.


{| class="PropertiesTable" border="1" cellpadding="5"
{| class="PropertiesTable" border="1" cellpadding="5"
Line 6,295: Line 6,570:
|'''Input''' (Input)
|'''Input''' (Input)
|
|
This property specifies the input to the outline
This property specifies the input to the Level Scalars
(curvilinear) filter.
filter.
|
|


|
|
Accepts input of following types:
Accepts input of following types:
* vtkStructuredGrid
* vtkNonOverlappingAMR


|}
|}


==Outline Generic DataSet==
==Level Scalars(Overlapping AMR)==


This filter generates a bounding box representation of the input.The Generic Outline
The Level Scalars filter uses colors to show levels of a hierarchical dataset.The Level
filter generates an axis-aligned bounding box for the
Scalars filter uses colors to show levels of a
input data set. The Input menu specifies the data set for
hierarchical dataset.
which to create a bounding box. This filter operates on
generic data sets and produces polygonal
output.


{| class="PropertiesTable" border="1" cellpadding="5"
{| class="PropertiesTable" border="1" cellpadding="5"
Line 6,324: Line 6,596:
|'''Input''' (Input)
|'''Input''' (Input)
|
|
Set the input to the Generic Outline
This property specifies the input to the Level Scalars
filter.
filter.
|
|
Line 6,330: Line 6,602:
|
|
Accepts input of following types:
Accepts input of following types:
* vtkGenericDataSet
* vtkOverlappingAMR


|}
|}


==ParticlePath==
==Linear Extrusion==


Trace Particle Paths through time in a vector field.
This filter creates a swept surface defined by translating the input along a vector.The Linear
The Particle Trace filter generates pathlines in a vector
Extrusion filter creates a swept surface by translating
field from a collection of seed points. The vector field
the input dataset along a specified vector. This filter is
used is selected from the Vectors menu, so the input data
intended to operate on 2D polygonal data. This filter
set is required to have point-centered vectors. The Seed
operates on polygonal data and produces polygonal data
portion of the interface allows you to select whether the
output.
seed points for this integration lie in a point cloud or
along a line. Depending on which is selected, the
appropriate 3D widget (point or line widget) is displayed
along with traditional user interface controls for
positioning the point cloud or line within the data set.
Instructions for using the 3D widgets and the
corresponding manual controls can be found in section 7.4.
This filter operates on any type of data set, provided it
has point-centered vectors. The output is polygonal data
containing polylines. This filter is available on the
Toolbar.


{| class="PropertiesTable" border="1" cellpadding="5"
{| class="PropertiesTable" border="1" cellpadding="5"
Line 6,364: Line 6,625:
|'''Input''' (Input)
|'''Input''' (Input)
|
|
Specify which is the Input of the StreamTracer
This property specifies the input to the Linear
filter.
Extrusion filter.
|
|


|
|
Accepts input of following types:
Accepts input of following types:
* vtkDataObject
* vtkPolyData
The dataset much contain a field array (point)
 
with 3 component(s).
 
|-
|-
|'''Seed Source''' (Source)
|'''ScaleFactor''' (ScaleFactor)
|
The value of this property determines the distance along
the vector the dataset will be translated. (A scale factor of 0.5 will
move the dataset half the length of the vector, and a scale factor of 2
will move it twice the vector's length.)
|
|
Specify the seed dataset. Typically fron where the
1.0
vector field integration should begin. Usually a point/radius or a line
with a given resolution.
|
|


|
Accepts input of following types:
* vtkDataSet
|-
|-
|'''TerminationTime''' (TerminationTime)
|'''Vector''' (Vector)
|
|
Setting TerminationTime to a positive value will cause
The value of this property indicates the X, Y, and Z
particles to terminate when the time is reached. The units of time
components of the vector along which to sweep the input
should be consistent with the primary time variable.
dataset.
|
|
0.0
0 0 1
|
|


|-
|-
|'''TimestepValues''' (TimestepValues)
|'''Capping''' (Capping)
|
|
 
The value of this property indicates whether to cap the
ends of the swept surface. Capping works by placing a copy of the input
dataset on either end of the swept surface, so it behaves properly if
the input is a 2D surface composed of filled polygons. If the input
dataset is a closed solid (e.g., a sphere), then if capping is on
(i.e., this property is set to 1), two copies of the data set will be
displayed on output (the second translated from the first one along the
specified vector). If instead capping is off (i.e., this property is
set to 0), then an input closed solid will produce no
output.
|
|
 
1
|
|
 
Accepts boolean values (0 or 1).
|-
|-
|'''ForceReinjectionEveryNSteps''' (ForceReinjectionEveryNSteps)
|'''PieceInvariant''' (PieceInvariant)
|
|
When animating particles, it is nice to inject new ones
The value of this property determines whether the output
every Nth step to produce a continuous flow. Setting
will be the same regardless of the number of processors used to compute
ForceReinjectionEveryNSteps to a non zero value will cause the particle
the result. The difference is whether there are internal polygonal
source to reinject particles every Nth step even if it is otherwise
faces on the processor boundaries. A value of 1 will keep the results
unchanged. Note that if the particle source is also animated, this flag
the same; a value of 0 will allow internal faces on processor
will be redundant as the particles will be reinjected whenever the
boundaries.
source changes anyway
|
|
0
0
|
|
Accepts boolean values (0 or 1).
|}


|-
==Loop Subdivision==
|'''SelectInputVectors''' (SelectInputVectors)
|
Specify which vector array should be used for the
integration through that filter.
|


This filter iteratively divides each triangle into four triangles. New points are placed so the output surface is smooth.
The Loop Subdivision filter increases the granularity of a
polygonal mesh. It works by dividing each triangle in the
input into four new triangles. It is named for Charles
Loop, the person who devised this subdivision scheme. This
filter only operates on triangles, so a data set that
contains other types of polygons should be passed through
the Triangulate filter before applying this filter to it.
This filter only operates on polygonal data (specifically
triangle meshes), and it produces polygonal
output.
{| class="PropertiesTable" border="1" cellpadding="5"
|-
| '''Property'''
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''
|-
|'''Input''' (Input)
|
|
An array of vectors is required.
This property specifies the input to the Loop
|-
Subdivision filter.
|'''ComputeVorticity''' (ComputeVorticity)
|
Compute vorticity and angular rotation of particles as
they progress
|
|
1
 
|
|
Accepts boolean values (0 or 1).
Accepts input of following types:
* vtkPolyData
|-
|-
|'''DisableResetCache''' (DisableResetCache)
|'''Number of Subdivisions''' (NumberOfSubdivisions)
|
|
Prevents cache from getting reset so that new computation
Set the number of subdivision iterations to perform.
always start from previous results.
Each subdivision divides single triangles into four new
triangles.
|
|
0
1
|
|
Accepts boolean values (0 or 1).
 


|}
|}


==ParticleTracer==
==MPIMoveData==
 


Trace Particles through time in a vector field.
The Particle Trace filter generates pathlines in a vector
field from a collection of seed points. The vector field
used is selected from the Vectors menu, so the input data
set is required to have point-centered vectors. The Seed
portion of the interface allows you to select whether the
seed points for this integration lie in a point cloud or
along a line. Depending on which is selected, the
appropriate 3D widget (point or line widget) is displayed
along with traditional user interface controls for
positioning the point cloud or line within the data set.
Instructions for using the 3D widgets and the
corresponding manual controls can be found in section 7.4.
This filter operates on any type of data set, provided it
has point-centered vectors. The output is polygonal data
containing polylines. This filter is available on the
Toolbar.


{| class="PropertiesTable" border="1" cellpadding="5"
{| class="PropertiesTable" border="1" cellpadding="5"
Line 6,478: Line 6,744:
|'''Input''' (Input)
|'''Input''' (Input)
|
|
Specify which is the Input of the StreamTracer
Set the input to the MPI Move Data
filter.
filter.
|
|


|
|
Accepts input of following types:
* vtkDataObject
The dataset much contain a field array (point)
with 3 component(s).


|-
|-
|'''Seed Source''' (Source)
|'''MoveMode''' (MoveMode)
|
|
Specify the seed dataset. Typically fron where the
Specify how the data is to be
vector field integration should begin. Usually a point/radius or a line
redistributed.
with a given resolution.
|
 
|
Accepts input of following types:
* vtkDataSet
|-
|'''TimestepValues''' (TimestepValues)
|
 
|
 
|
 
|-
|'''ForceReinjectionEveryNSteps''' (ForceReinjectionEveryNSteps)
|
When animating particles, it is nice to inject new ones
every Nth step to produce a continuous flow. Setting
ForceReinjectionEveryNSteps to a non zero value will cause the particle
source to reinject particles every Nth step even if it is otherwise
unchanged. Note that if the particle source is also animated, this flag
will be redundant as the particles will be reinjected whenever the
source changes anyway
|
|
0
0
|
|
 
The value(s) is an enumeration of the following:
* PassThrough (0)
* Collect (1)
* Clone (2)
|-
|-
|'''SelectInputVectors''' (SelectInputVectors)
|'''OutputDataType''' (OutputDataType)
|
|
Specify which vector array should be used for the
Specify the type of the dataset.
integration through that filter.
|
|
 
none
|
|
An array of vectors is required.
The value(s) is an enumeration of the following:
|-
* PolyData (0)
|'''ComputeVorticity''' (ComputeVorticity)
* Unstructured Grid (4)
|
* ImageData (6)
Compute vorticity and angular rotation of particles as
they progress
|
1
|
Accepts boolean values (0 or 1).


|}
|}


==Pass Arrays==
==Mask Points==


Pass specified point and cell data arrays.
Reduce the number of points. This filter is often used before glyphing. Generating vertices is an option.The Mask Points
The Pass Arrays filter makes a shallow copy of the output
filter reduces the number of points in the dataset. It
data object from the input data object except for passing
operates on any type of dataset, but produces only points
only the arrays specified to the output from the
/ vertices as output.
input.


{| class="PropertiesTable" border="1" cellpadding="5"
{| class="PropertiesTable" border="1" cellpadding="5"
Line 6,561: Line 6,793:
|'''Input''' (Input)
|'''Input''' (Input)
|
|
 
This property specifies the input to the Mask Points
filter.
|
|


|
|
Accepts input of following types:
Accepts input of following types:
* vtkDataObject
* vtkDataSet
The dataset much contain a field array ()
 
|-
|-
|'''UseFieldTypes''' (UseFieldTypes)
|'''OnRatio''' (OnRatio)
|
|
This hidden property must always be set to 1 for this
The value of this property specifies that every
proxy to work.
OnStride-th points will be retained in the output when not using Random
(the skip or stride size for point ids). (For example, if the on ratio
is 3, then the output will contain every 3rd point, up to the the
maximum number of points.)
|
|
1
2
|
|
Accepts boolean values (0 or 1).
 
|-
|-
|'''AddPointArrayType''' (AddPointArrayType)
|'''Maximum Number of Points''' (MaximumNumberOfPoints)
|
|
This hidden property must always be set to 0 for this
The value of this property indicates the maximum number
proxy to work.
of points in the output dataset.
|
|
0
5000
|
|
Accepts boolean values (0 or 1).
 
|-
|-
|'''AddCellArrayType''' (AddCellArrayType)
|'''Proportionally Distribute Maximum Number Of Points''' (ProportionalMaximumNumberOfPoints)
|
|
This hidden property must always be set to 1 for this
When this is off, the maximum number of points is taken
proxy to work.
per processor when running in parallel (total number of points = number
of processors * maximum number of points). When this is on, the maximum
number of points is proportionally distributed across processors
depending on the number of points per processor
("total number of points" is the same as "maximum number of points"
maximum number of points per processor = number of points on a processor
* maximum number of points / total number of points across all processors
).
 
|
|
1
0
|
|
Accepts boolean values (0 or 1).
Accepts boolean values (0 or 1).
|-
|-
|'''AddFieldArrayType''' (AddFieldArrayType)
|'''Offset''' (Offset)
|
|
This hidden property must always be set to 2 for this
The value of this property indicates the starting point
proxy to work.
id in the ordered list of input points from which to start
masking.
|
|
2
0
|
|
Accepts boolean values (0 or 1).
 
|-
|-
|'''PointDataArrays''' (AddPointDataArray)
|'''Random Sampling''' (RandomMode)
|
|
Add a point array by name to be passed.
If the value of this property is set to true, then the
points in the output will be randomly selected from the input in
various ways set by Random Mode; otherwise this filter will subsample
point ids regularly.
|
|
 
0
|
|
 
Accepts boolean values (0 or 1).
|-
|-
|'''CellDataArrays''' (AddCellDataArray)
|'''Random Sampling Mode''' (RandomModeType)
|
|
Add a cell array by name to be passed.
Randomized Id Strides picks points with random id
increments starting at Offset (the output probably isn't a
statistically random sample). Random Sampling generates a statistically
random sample of the input, ignoring Offset (fast - O(sample size)).
Spatially Stratified Random Sampling is a variant of random sampling
that splits the points into equal sized spatial strata before randomly
sampling (slow - O(N log N)).
|
|
 
0
|
The value(s) is an enumeration of the following:
* Randomized Id Strides (0)
* Random Sampling (1)
* Spatially Stratified Random Sampling (2)
|-
|'''GenerateVertices''' (GenerateVertices)
|
This property specifies whether to generate vertex cells
as the topography of the output. If set to 1, the geometry (vertices)
will be displayed in the rendering window; otherwise no geometry will
be displayed.
|
0
|
|
 
Accepts boolean values (0 or 1).
|-
|-
|'''FieldDataArrays''' (AddFieldDataArray)
|'''SingleVertexPerCell''' (SingleVertexPerCell)
|
|
Add a field array by name to be passed.
Tell filter to only generate one vertex per cell instead
of multiple vertices in one cell.
|
|
 
0
|
|
 
Accepts boolean values (0 or 1).


|}
|}


==Plot Data==
==Material Interface Filter==


Plot data arrays from the inputThis filter
The Material Interface filter finds volumes in the input data containg material above a certain material fraction.
prepare arbitrary data to be plotted in any of the plots. By default the
The Material Interface filter finds voxels inside of which a material
data is shown in a XY line plot.
fraction (or normalized amount of material) is higher than a given
threshold. As these voxels are identified surfaces enclosing adjacent
voxels above the threshold are generated. The resulting volume and its
surface are what we call a fragment. The filter has the ability to
compute various volumetric attributes such as fragment volume, mass,
center of mass as well as volume and mass weighted averages for any of
the fields present. Any field selected for such computation will be also
be coppied into the fragment surface's point data for visualization. The
filter also has the ability to generate Oriented Bounding Boxes (OBB) for
each fragment. The data generated by the filter is organized in three
outputs. The "geometry" output, containing the fragment surfaces. The
"statistics" output, containing a point set of the centers of mass. The
"obb representaion" output, containing OBB representations (poly data).
All computed attributes are coppied into the statistics and geometry
output. The obb representation output is used for validation and
debugging puproses and is turned off by default. To measure the size of
craters, the filter can invert a volume fraction and clip the volume
fraction with a sphere and/or a plane.


{| class="PropertiesTable" border="1" cellpadding="5"
{| class="PropertiesTable" border="1" cellpadding="5"
Line 6,648: Line 6,932:
|'''Input''' (Input)
|'''Input''' (Input)
|
|
The input.
Input to the filter can be a hierarchical box data set
containing image data or a multi-block of rectilinear
grids.
|
|


|
|
Accepts input of following types:
Accepts input of following types:
* vtkDataObject
* vtkNonOverlappingAMR
The dataset must contain a field array (cell)


|}
|-
|'''Select Material Fraction Arrays''' (SelectMaterialArray)
|
Material fraction is defined as normalized amount of
material per voxel. It is expected that arrays containing material
fraction data has been down converted to a unsigned
char.
|


==Plot Global Variables Over Time==
|
 
An array of scalars is required.
Extracts and plots data in field data over time.
This filter extracts the variables that reside in a
dataset's field data and are defined over time. The output
is a 1D rectilinear grid where the x coordinates
correspond to time (the same array is also copied to a
point array named Time or TimeData (if Time exists in the
input)).
 
{| class="PropertiesTable" border="1" cellpadding="5"
|-
|-
| '''Property'''
|'''Material Fraction Threshold''' (MaterialFractionThreshold)
| '''Description'''
|
| '''Default Value(s)'''
Material fraction is defined as normalized amount of
| '''Restrictions'''
material per voxel. Any voxel in the input data set with a material
fraction greater than this value is included in the output data
set.
|
0.5
|


|-
|-
|'''Input''' (Input)
|'''InvertVolumeFraction''' (InvertVolumeFraction)
|
|
The input from which the selection is
Inverting the volume fraction generates the negative of
extracted.
the material. It is useful for analyzing craters.
|
|
 
0
|
|
Accepts input of following types:
Accepts boolean values (0 or 1).
* vtkDataSet
 
|}
 
==Plot On Sorted Lines==
 
 
 
{| class="PropertiesTable" border="1" cellpadding="5"
|-
|-
| '''Property'''
|'''Clip Type''' (ClipFunction)
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''
 
|-
|'''Input''' (Input)
|
|
This property specifies the input to the Plot Edges
This property sets the type of clip geometry, and
filter.
associated parameters.
|
|


|
|
Accepts input of following types:
The value can be one of the following:
* vtkPolyData
* None (implicit_functions)


|}
* Plane (implicit_functions)


==Plot Selection Over Time==
* Sphere (implicit_functions)


Extracts selection over time and then plots it.
|-
This filter extracts the selection over time, i.e. cell
|'''Select Mass Arrays''' (SelectMassArray)
and/or point variables at a cells/point selected are
|
extracted over time The output multi-block consists of 1D
Mass arrays are paired with material fraction arrays.
rectilinear grids where the x coordinate corresponds to
This means that the first selected material fraction array is paired
time (the same array is also copied to a point array named
with the first selected mass array, and so on sequentially. As the
Time or TimeData (if Time exists in the input)). If
filter identifies voxels meeting the minimum material fraction
selection input is a Location based selection then the
threshold, these voxel's mass will be used in fragment center of mass
point values are interpolated from the nearby cells, ie
and mass calculation. A warning is generated if no mass array is
those of the cell the location lies in.
selected for an individual material fraction array. However, in that
case the filter will run without issue because the statistics output
can be generated using fragments' centers computed from axis aligned
bounding boxes.
|


{| class="PropertiesTable" border="1" cellpadding="5"
|
An array of scalars is required.
|-
|-
| '''Property'''
|'''Compute volume weighted average over:''' (SelectVolumeWtdAvgArray)
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''
 
|-
|'''Input''' (Input)
|
|
The input from which the selection is
Specifies the arrays from which to volume weighted
extracted.
average. For arrays selected a volume weighted average is
computed. The values of these arrays are also coppied into fragment
geometry cell data as the fragment surfaces are
generated.
|
|


|
|
Accepts input of following types:
 
* vtkDataSet
* vtkTable
* vtkCompositeDataSet
|-
|-
|'''Selection''' (Selection)
|'''Compute mass weighted average over:''' (SelectMassWtdAvgArray)
|
|
The input that provides the selection
For arrays selected a mass weighted average is computed.
object.
These arrays are also coppied into fragment geometry cell data as the
fragment surfaces are generated.
|
|


|
|
Accepts input of following types:
* vtkSelection


|}
==Point Data to Cell Data==
Create cell attributes by averaging point attributes.The Point
Data to Cell Data filter averages the values of the point
attributes of the points of a cell to compute cell
attributes. This filter operates on any type of dataset,
and the output dataset is the same type as the
input.
{| class="PropertiesTable" border="1" cellpadding="5"
|-
|-
| '''Property'''
|'''ComputeOBB''' (ComputeOBB)
| '''Description'''
|
| '''Default Value(s)'''
Compute Object Oriented Bounding boxes (OBB). When
| '''Restrictions'''
active the result of this computation is coppied into the statistics
 
output. In the case that the filter is built in its validation mode,
|-
the OBB's are rendered.
|'''Input''' (Input)
|
0
|
Accepts boolean values (0 or 1).
|-
|'''WriteGeometryOutput''' (WriteGeometryOutput)
|
|
This property specifies the input to the Point Data to
If this property is set, then the geometry output is
Cell Data filter.
written to a text file. The file name will be coonstructed using the
path in the "Output Base Name" widget.
|
|
 
0
|
|
Accepts input of following types:
Accepts boolean values (0 or 1).
* vtkDataSetOnce set, the input dataset cannot be changed.
The dataset much contain a field array (point)
 
|-
|-
|'''PassPointData''' (PassPointData)
|'''WriteStatisticsOutput''' (WriteStatisticsOutput)
|
|
The value of this property controls whether the input
If this property is set, then the statistics output is
point data will be passed to the output. If set to 1, then the input
written to a text file. The file name will be coonstructed using the
point data is passed through to the output; otherwise, only generated
path in the "Output Base Name" widget.
cell data is placed into the output.
|
|
0
0
|
|
Accepts boolean values (0 or 1).
Accepts boolean values (0 or 1).
|-
|'''OutputBaseName''' (OutputBaseName)
|
This property specifies the base including path of where
to write the statistics and gemoetry output text files. It follows the
pattern "/path/to/folder/and/file" here file has no extention, as the
filter will generate a unique extention.
|
|


|}
|}


==PolyLine To Rectilinear Grid==
==Median==
 


Compute the median scalar values in a specified neighborhood for image/volume datasets.
The Median filter operates on uniform rectilinear (image
or volume) data and produces uniform rectilinear output.
It replaces the scalar value at each pixel / voxel with
the median scalar value in the specified surrounding
neighborhood. Since the median operation removes outliers,
this filter is useful for removing high-intensity,
low-probability noise (shot noise).


{| class="PropertiesTable" border="1" cellpadding="5"
{| class="PropertiesTable" border="1" cellpadding="5"
Line 6,812: Line 7,093:
|'''Input''' (Input)
|'''Input''' (Input)
|
|
Set the input to the Polyline to Rectilinear Grid
This property specifies the input to the Median
filter.
filter.
|
|
Line 6,818: Line 7,099:
|
|
Accepts input of following types:
Accepts input of following types:
* vtkPolyData
* vtkImageData
The dataset must contain a field array (point)
 
with 1 component(s).
 
|-
|'''SelectInputScalars''' (SelectInputScalars)
|
The value of this property lists the name of the scalar
array to use in computing the median.
|
 
|
An array of scalars is required.
|-
|'''KernelSize''' (KernelSize)
|
The value of this property specifies the number of
pixels/voxels in each dimension to use in computing the median to
assign to each pixel/voxel. If the kernel size in a particular
dimension is 1, then the median will not be computed in that
direction.
|
1 1 1
|
 


|}
|}


==Principal Component Analysis==
==Merge Blocks==


Compute a statistical model of a dataset and/or assess the dataset with a statistical model.
Appends vtkCompositeDataSet leaves into a single vtkUnstructuredGrid
This filter either computes a statistical model of a dataset or takes
vtkCompositeDataToUnstructuredGridFilter appends all vtkDataSet leaves of
such a model as its second input. Then, the model (however it is
the input composite dataset to a single unstructure grid. The subtree to
obtained) may optionally be used to assess the input dataset. <p>
be combined can be choosen using the SubTreeCompositeIndex. If the
This filter performs additional analysis above and beyond the
SubTreeCompositeIndex is a leaf node, then no appending is
multicorrelative filter. It computes the eigenvalues and eigenvectors of
required.
the covariance matrix from the multicorrelative filter. Data is then
assessed by projecting the original tuples into a possibly
lower-dimensional space. <p> Since the PCA filter uses the
multicorrelative filter's analysis, it shares the same raw covariance
table specified in the multicorrelative documentation. The second table
in the multiblock dataset comprising the model output is an expanded
version of the multicorrelative version. <p> As with the
multicorrlative filter, the second model table contains the mean values,
the upper-triangular portion of the symmetric covariance matrix, and the
non-zero lower-triangular portion of the Cholesky decomposition of the
covariance matrix. Below these entries are the eigenvalues of the
covariance matrix (in the column labeled "Mean") and the eigenvectors (as
row vectors) in an additional NxN matrix.


{| class="PropertiesTable" border="1" cellpadding="5"
{| class="PropertiesTable" border="1" cellpadding="5"
Line 6,854: Line 7,147:
|'''Input''' (Input)
|'''Input''' (Input)
|
|
The input to the filter. Arrays from this dataset will
Set the input composite dataset.
be used for computing statistics and/or assessed by a statistical
model.
|
|


|
|
Accepts input of following types:
Accepts input of following types:
* vtkImageData
* vtkCompositeDataSet
* vtkStructuredGrid
* vtkPolyData
* vtkUnstructuredGrid
* vtkTable
* vtkGraph
The dataset much contain a field array ()
 
|-
|-
|'''ModelInput''' (ModelInput)
|'''SubTreeCompositeIndex''' (SubTreeCompositeIndex)
|
|
A previously-calculated model with which to assess a
Select the index of the subtree to be appended. For now,
separate dataset. This input is optional.
this property is internal.
|
0
|
|


|
Accepts input of following types:
* vtkTable
* vtkMultiBlockDataSet
|-
|-
|'''AttributeMode''' (AttributeMode)
|'''Merge Points''' (MergePoints)
|
|
Specify which type of field data the arrays will be
 
drawn from.
|
|
0
1
|
|
The value must be field array name.
Accepts boolean values (0 or 1).
 
|}
 
==Mesh Quality==
 
This filter creates a new cell array containing a geometric measure of each cell's fitness. Different quality measures can be chosen for different cell shapes.This filter
creates a new cell array containing a geometric measure of
each cell's fitness. Different quality measures can be
chosen for different cell shapes. Supported shapes include
triangles, quadrilaterals, tetrahedra, and hexahedra. For
other shapes, a value of 0 is assigned.
 
{| class="PropertiesTable" border="1" cellpadding="5"
|-
| '''Property'''
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''
 
|-
|-
|'''Variables of Interest''' (SelectArrays)
|'''Input''' (Input)
|
|
Choose arrays whose entries will be used to form
This property specifies the input to the Mesh Quality
observations for statistical analysis.
filter.
|
|


|
|
 
Accepts input of following types:
* vtkDataSet
|-
|-
|'''Task''' (Task)
|'''TriangleQualityMeasure''' (TriangleQualityMeasure)
|
This property indicates which quality measure will be
used to evaluate triangle quality. The radius ratio is the size of a
circle circumscribed by a triangle's 3 vertices divided by the size of
a circle tangent to a triangle's 3 edges. The edge ratio is the ratio
of the longest edge length to the shortest edge length.
|
2
|
|
Specify the task to be performed: modeling and/or
The value(s) is an enumeration of the following:
assessment. <ol> <li> "Detailed model of input data,"
* Area (28)
creates a set of output tables containing a calculated statistical
* Aspect Ratio (1)
model of the <b>entire</b> input dataset;</li>
* Aspect Frobenius (3)
<li> "Model a subset of the data," creates an output table (or
* Condition (9)
tables) summarizing a <b>randomly-chosen subset</b> of the
* Distortion (15)
input dataset;</li> <li> "Assess the data with a model,"
* Edge Ratio (0)
adds attributes to the first input dataset using a model provided on
* Maximum Angle (8)
the second input port; and</li> <li> "Model and assess the
* Minimum Angle (6)
same data," is really just operations 2 and 3 above applied to the same
* Scaled Jacobian (10)
input dataset. The model is first trained using a fraction of the input
* Radius Ratio (2)
data and then the entire dataset is assessed using that
* Relative Size Squared (12)
model.</li> </ol> When the task includes creating a model
* Shape (13)
(i.e., tasks 2, and 4), you may adjust the fraction of the input
* Shape and Size (14)
dataset used for training. You should avoid using a large fraction of
the input data for training as you will then not be able to detect
overfitting. The <i>Training fraction</i> setting will be
ignored for tasks 1 and 3.
|
3
|
The value(s) is an enumeration of the following:
* Detailed model of input data (0)
* Model a subset of the data (1)
* Assess the data with a model (2)
* Model and assess the same data (3)
|-
|-
|'''TrainingFraction''' (TrainingFraction)
|'''QuadQualityMeasure''' (QuadQualityMeasure)
|
|
Specify the fraction of values from the input dataset to
This property indicates which quality measure will be
be used for model fitting. The exact set of values is chosen at random
used to evaluate quadrilateral quality.
from the dataset.
|
|
0.1
0
|
|
 
The value(s) is an enumeration of the following:
* Area (28)
* Aspect Ratio (1)
* Condition (9)
* Distortion (15)
* Edge Ratio (0)
* Jacobian (25)
* Maximum Aspect Frobenius (5)
* Maximum Aspect Frobenius (5)
* Maximum Edge Ratio (16)
* Mean Aspect Frobenius (4)
* Minimum Angle (6)
* Oddy (23)
* Radius Ratio (2)
* Relative Size Squared (12)
* Scaled Jacobian (10)
* Shape (13)
* Shape and Size (14)
* Shear (11)
* Shear and Size (24)
* Skew (17)
* Stretch (20)
* Taper (18)
* Warpage (26)
|-
|-
|'''Normalization Scheme''' (NormalizationScheme)
|'''TetQualityMeasure''' (TetQualityMeasure)
|
|
Before the eigenvector decomposition of the covariance
This property indicates which quality measure will be
matrix takes place, you may normalize each (i,j) entry by sqrt(
used to evaluate tetrahedral quality. The radius ratio is the size of a
cov(i,i) * cov(j,j) ). This implies that the variance of each variable
sphere circumscribed by a tetrahedron's 4 vertices divided by the size
of interest should be of equal importance.
of a circle tangent to a tetrahedron's 4 faces. The edge ratio is the
ratio of the longest edge length to the shortest edge length. The
collapse ratio is the minimum ratio of height of a vertex above the
triangle opposite it divided by the longest edge of the opposing
triangle across all vertex/triangle pairs.
|
|
2
2
|
|
The value(s) is an enumeration of the following:
The value(s) is an enumeration of the following:
* No normalization (0)
* Edge Ratio (0)
* Normalize using covariances (3)
* Aspect Beta (29)
* Aspect Gamma (27)
* Aspect Frobenius (3)
* Aspect Ratio (1)
* Collapse Ratio (7)
* Condition (9)
* Distortion (15)
* Jacobian (25)
* Minimum Dihedral Angle (6)
* Radius Ratio (2)
* Relative Size Squared (12)
* Scaled Jacobian (10)
* Shape (13)
* Shape and Size (14)
* Volume (19)
|-
|-
|'''Basis Scheme''' (BasisScheme)
|'''HexQualityMeasure''' (HexQualityMeasure)
|
|
When reporting assessments, should the full eigenvector
This property indicates which quality measure will be
decomposition be used to project the original vector into the new space
used to evaluate hexahedral quality.
(Full basis), or should a fixed subset of the decomposition be used
(Fixed-size basis), or should the projection be clipped to preserve at
least some fixed "energy" (Fixed-energy basis)?<p> As an example,
suppose the variables of interest were {A,B,C,D,E} and that the
eigenvalues of the covariance matrix for these were {5,2,1.5,1,.5}. If
the "Full basis" scheme is used, then all 5 components of the
eigenvectors will be used to project each {A,B,C,D,E}-tuple in the
original data into a new 5-components space.<p> If the
"Fixed-size" scheme is used and the "Basis Size" property is set to 4,
then only the first 4 eigenvector components will be used to project
each {A,B,C,D,E}-tuple into the new space and that space will be of
dimension 4, not 5.<p> If the "Fixed-energy basis" scheme is used
and the "Basis Energy" property is set to 0.8, then only the first 3
eigenvector components will be used to project each {A,B,C,D,E}-tuple
into the new space, which will be of dimension 3. The number 3 is
chosen because 3 is the lowest N for which the sum of the first N
eigenvalues divided by the sum of all eigenvalues is larger than the
specified "Basis Energy" (i.e., (5+2+1.5)/10 = 0.85 >
0.8).
|
|
0
5
|
|
The value(s) is an enumeration of the following:
The value(s) is an enumeration of the following:
* Full basis (0)
* Diagonal (21)
* Fixed-size basis (1)
* Dimension (22)
* Fixed-energy basis (2)
* Distortion (15)
|-
* Edge Ratio (0)
|'''Basis Size''' (BasisSize)
* Jacobian (25)
|
* Maximum Edge Ratio (16)
The maximum number of eigenvector components to use when
* Maximum Aspect Frobenius (5)
projecting into the new space.
* Mean Aspect Frobenius (4)
|
* Oddy (23)
2
* Relative Size Squared (12)
|
* Scaled Jacobian (10)
* Shape (13)
* Shape and Size (14)
* Shear (11)
* Shear and Size (24)
* Skew (17)
* Stretch (20)
* Taper (18)
* Volume (19)


|-
|}
|'''Basis Energy''' (BasisEnergy)
|
The minimum energy to use when determining the
dimensionality of the new space into which the assessment will project
tuples.
|
0.1
|


==MinMax==


|}
==Probe Location==


Sample data attributes at the points in a point cloud.
The Probe filter samples the data set attributes of the
current data set at the points in a point cloud. The Probe
filter uses interpolation to determine the values at the
selected point, whether or not it lies at an input point.
The Probe filter operates on any type of data and produces
polygonal output (a point cloud).


{| class="PropertiesTable" border="1" cellpadding="5"
{| class="PropertiesTable" border="1" cellpadding="5"
Line 7,023: Line 7,332:
|'''Input''' (Input)
|'''Input''' (Input)
|
|
This property specifies the dataset from which to obtain
Set the input to the Min Max filter.
probe values.
|
|


Line 7,030: Line 7,338:
Accepts input of following types:
Accepts input of following types:
* vtkDataSet
* vtkDataSet
* vtkCompositeDataSet
The dataset much contain a field array ()
|-
|-
|'''Probe Type''' (Source)
|'''Operation''' (Operation)
|
|
This property specifies the dataset whose geometry will
Select whether to perform a min, max, or sum operation
be used in determining positions to probe.
on the data.
|
|
 
MIN
|
|
The value can be one of the following:
The value(s) can be one of the following:
* FixedRadiusPointSource (extended_sources)
* MIN
 
* MAX
* SUM


|}
|}


==Process Id Scalars==
==Multicorrelative Statistics==


This filter uses colors to show how data is partitioned across processes.The
Compute a statistical model of a dataset and/or assess the dataset with a statistical model.
Process Id Scalars filter assigns a unique scalar value to
This filter either computes a statistical model of a dataset or takes
each piece of the input according to which processor it
such a model as its second input. Then, the model (however it is
resides on. This filter operates on any type of data when
obtained) may optionally be used to assess the input dataset.<p>
ParaView is run in parallel. It is useful for determining
This filter computes the covariance matrix for all the arrays you select
whether your data is load-balanced across the processors
plus the mean of each array. The model is thus a multivariate Gaussian
being used. The output data set type is the same as that
distribution with the mean vector and variances provided. Data is
of the input.
assessed using this model by computing the Mahalanobis distance for each
input point. This distance will always be positive.<p> The learned
model output format is rather dense and can be confusing, so it is
discussed here. The first filter output is a multiblock dataset
consisting of 2 tables: <ol> <li> Raw covariance data.
<li> Covariance matrix and its Cholesky decomposition. </ol>
The raw covariance table has 3 meaningful columns: 2 titled "Column1" and
"Column2" whose entries generally refer to the N arrays you selected when
preparing the filter and 1 column titled "Entries" that contains numeric
values. The first row will always contain the number of observations in
the statistical analysis. The next N rows contain the mean for each of
the N arrays you selected. The remaining rows contain covariances of
pairs of arrays.<p> The second table (covariance matrix and
Cholesky decomposition) contains information derived from the raw
covariance data of the first table. The first N rows of the first column
contain the name of one array you selected for analysis. These rows are
followed by a single entry labeled "Cholesky" for a total of N+1 rows.
The second column, Mean contains the mean of each variable in the first N
entries and the number of observations processed in the final (N+1)
row.<p> The remaining columns (there are N, one for each array)
contain 2 matrices in triangular format. The upper right triangle
contains the covariance matrix (which is symmetric, so its lower triangle
may be inferred). The lower left triangle contains the Cholesky
decomposition of the covariance matrix (which is triangular, so its upper
triangle is zero). Because the diagonal must be stored for both matrices,
an additional row is required — hence the N+1 rows and
the final entry of the column named "Column".


{| class="PropertiesTable" border="1" cellpadding="5"
{| class="PropertiesTable" border="1" cellpadding="5"
Line 7,068: Line 7,400:
|'''Input''' (Input)
|'''Input''' (Input)
|
|
This property specifies the input to the Process Id
The input to the filter. Arrays from this dataset will
Scalars filter.
be used for computing statistics and/or assessed by a statistical
model.
|
|


|
|
Accepts input of following types:
Accepts input of following types:
* vtkDataSet
* vtkImageData
* vtkStructuredGrid
* vtkPolyData
* vtkUnstructuredGrid
* vtkTable
* vtkGraph
The dataset must contain a field array ()
 
|-
|-
|'''RandomMode''' (RandomMode)
|'''ModelInput''' (ModelInput)
|
|
The value of this property determines whether to use
A previously-calculated model with which to assess a
random id values for the various pieces. If set to 1, the unique value
separate dataset. This input is optional.
per piece will be chosen at random; otherwise the unique value will
match the id of the process.
|
|
0
 
|
|
Accepts boolean values (0 or 1).
Accepts input of following types:
 
* vtkTable
|}
* vtkMultiBlockDataSet
 
==Programmable Filter==
 
Executes a user supplied python script on its input dataset to produce an output dataset.
This filter will execute a python script to produce an
output dataset. The filter keeps a copy of the python
script in Script, and creates Interpretor, a python
interpretor to run the script upon the first
execution.
 
{| class="PropertiesTable" border="1" cellpadding="5"
|-
|-
| '''Property'''
|'''AttributeMode''' (AttributeMode)
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''
 
|-
|'''Input''' (Input)
|
|
This property specifies the input(s) to the programmable
Specify which type of field data the arrays will be
filter.
drawn from.
|
|
 
0
|
|
Accepts input of following types:
The value must be field array name.
* vtkDataObject
|-
|-
|'''OutputDataSetType''' (OutputDataSetType)
|'''Variables of Interest''' (SelectArrays)
|
|
The value of this property determines the dataset type
Choose arrays whose entries will be used to form
for the output of the programmable filter.
observations for statistical analysis.
|
8
|
The value(s) is an enumeration of the following:
* Same as Input (8)
* vtkPolyData (0)
* vtkStructuredGrid (2)
* vtkRectilinearGrid (3)
* vtkUnstructuredGrid (4)
* vtkImageData (6)
* vtkUniformGrid (10)
* vtkMultiblockDataSet (13)
* vtkHierarchicalBoxDataSet (15)
* vtkTable (19)
|-
|'''Script''' (Script)
|
This property contains the text of a python program that
the programmable filter runs.
|
|


Line 7,144: Line 7,445:


|-
|-
|'''RequestInformation Script''' (InformationScript)
|'''Task''' (Task)
|
|
This property is a python script that is executed during
Specify the task to be performed: modeling and/or
the RequestInformation pipeline pass. Use this to provide information
assessment. <ol> <li> "Detailed model of input data,"
such as WHOLE_EXTENT to the pipeline downstream.
creates a set of output tables containing a calculated statistical
|
model of the <b>entire</b> input dataset;</li>
 
<li> "Model a subset of the data," creates an output table (or
tables) summarizing a <b>randomly-chosen subset</b> of the
input dataset;</li> <li> "Assess the data with a model,"
adds attributes to the first input dataset using a model provided on
the second input port; and</li> <li> "Model and assess the
same data," is really just operations 2 and 3 above applied to the same
input dataset. The model is first trained using a fraction of the input
data and then the entire dataset is assessed using that
model.</li> </ol> When the task includes creating a model
(i.e., tasks 2, and 4), you may adjust the fraction of the input
dataset used for training. You should avoid using a large fraction of
the input data for training as you will then not be able to detect
overfitting. The <i>Training fraction</i> setting will be
ignored for tasks 1 and 3.
|
3
|
|
 
The value(s) is an enumeration of the following:
* Detailed model of input data (0)
* Model a subset of the data (1)
* Assess the data with a model (2)
* Model and assess the same data (3)
|-
|-
|'''RequestUpdateExtent Script''' (UpdateExtentScript)
|'''TrainingFraction''' (TrainingFraction)
|
Specify the fraction of values from the input dataset to
be used for model fitting. The exact set of values is chosen at random
from the dataset.
|
|
This property is a python script that is executed during
0.1
the RequestUpdateExtent pipeline pass. Use this to modify the update
extent that your filter ask up stream for.
|
|


|


|-
|}
|'''CopyArrays''' (CopyArrays)
|
If this property is set to true, all the cell and point
arrays from first input are copied to the output.
|
0
|
Accepts boolean values (0 or 1).
|-
|'''Parameters''' (Parameters)
|


|
==Normal Glyphs==


|
Filter computing surface normals.Filter
computing surface normals.


{| class="PropertiesTable" border="1" cellpadding="5"
|-
|-
|'''PythonPath''' (PythonPath)
| '''Property'''
|
| '''Description'''
A semi-colon (;) separated list of directories to add to
| '''Default Value(s)'''
the python library search path.
| '''Restrictions'''
|
 
|




|}
|}


==Python Annotation==
==Octree Depth Limit==


This filter evaluates a Python expression for a text annotation
This filter takes in a octree and produces a new octree which is no deeper than the maximum specified depth level.The Octree
This filter uses Python to calculate an expression. It
Depth Limit filter takes in an octree and produces a new
depends heavily on the numpy and paraview.vtk modules. To
octree that is nowhere deeper than the maximum specified
use the parallel functions, mpi4py is also necessary. The
depth level. The attribute data of pruned leaf cells are
expression is evaluated and the resulting scalar value or
integrated in to their ancestors at the cut
numpy array is added to the output as an array. See numpy
level.
and paraview.vtk documentation for the list of available
functions. This filter tries to make it easy for the user
to write expressions by defining certain variables. The
filter tries to assign each array to a variable of the
same name. If the name of the array is not a valid Python
variable, it has to be accessed through a dictionary
called arrays (i.e. arrays['array_name']).


{| class="PropertiesTable" border="1" cellpadding="5"
{| class="PropertiesTable" border="1" cellpadding="5"
Line 7,218: Line 7,520:
|'''Input''' (Input)
|'''Input''' (Input)
|
|
Set the input of the filter.
This property specifies the input to the Octree Depth
Limit filter.
|
|


|
|
Accepts input of following types:
Accepts input of following types:
* vtkDataSet
* vtkHyperOctree
|-
|-
|'''Expression''' (Expression)
|'''MaximumLevel''' (MaximumLevel)
|
|
The Python expression evaluated during execution.
The value of this property specifies the maximum depth
FieldData arrays are direclty available through their name. Set of
of the output octree.
provided variables [input, t_value, t_steps, t_range, t_index,
FieldData, PointData, CellData] (i.e.: "Momentum: (%f, %f, %f)" %
(XMOM[t_index,0], YMOM[t_index,0], ZMOM[t_index,0]) )
|
|
 
4
|
 
|-
|'''AnnotationValue''' (AnnotationValue)
|
Text that is used as annotation
|
 
|
|


Line 7,247: Line 7,539:
|}
|}


==Python Calculator==
==Octree Depth Scalars==


This filter evaluates a Python expressionThis filter
This filter adds a scalar to each leaf of the octree that represents the leaf's depth within the tree.The
uses Python to calculate an expression. It depends heavily
vtkHyperOctreeDepth filter adds a scalar to each leaf of
on the numpy and paraview.vtk modules. To use the parallel
the octree that represents the leaf's depth within the
functions, mpi4py is also necessary. The expression is
tree.
evaluated and the resulting scalar value or numpy array is
added to the output as an array. See numpy and
paraview.vtk documentation for the list of available
functions. This filter tries to make it easy for the user
to write expressions by defining certain variables. The
filter tries to assign each array to a variable of the
same name. If the name of the array is not a valid Python
variable, it has to be accessed through a dictionary
called arrays (i.e. arrays['array_name']). The points can
be accessed using the points variable.


{| class="PropertiesTable" border="1" cellpadding="5"
{| class="PropertiesTable" border="1" cellpadding="5"
Line 7,274: Line 7,556:
|'''Input''' (Input)
|'''Input''' (Input)
|
|
Set the input of the filter.
This property specifies the input to the Octree Depth
Scalars filter.
|
|


|
|
Accepts input of following types:
Accepts input of following types:
* vtkDataSet
* vtkHyperOctree
 
|}
 
==OrderedCompositeDistributor==
 
 
 
{| class="PropertiesTable" border="1" cellpadding="5"
|-
|-
|'''Expression''' (Expression)
| '''Property'''
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''
 
|-
|'''Input''' (Input)
|
|
The Python expression evaluated during
Set the input to the Ordered Composite Distributor
execution.
filter.
|
|


Line 7,290: Line 7,587:


|-
|-
|'''ArrayAssociation''' (ArrayAssociation)
|'''PassThrough''' (PassThrough)
|
|
This property controls the association of the output
Toggle whether to pass the data through without
array as well as which arrays are defined as variables.
compositing.
|
|
0
0
|
|
The value(s) is an enumeration of the following:
Accepts boolean values (0 or 1).
* Point Data (0)
* Cell Data (1)
|-
|-
|'''ArrayName''' (ArrayName)
|'''PKdTree''' (PKdTree)
|
|
The name of the output array.
Set the vtkPKdTree to distribute with.
|
|
result
 
|
|


|-
|-
|'''CopyArrays''' (CopyArrays)
|'''OutputType''' (OutputType)
|
|
If this property is set to true, all the cell and point
When not empty, the output will be converted to the
arrays from first input are copied to the output.
given type.
|
|
1
 
|
|
Accepts boolean values (0 or 1).
 


|}
|}


==Quadric Clustering==
==Outline==


This filter is the same filter used to generate level of detail for ParaView. It uses a structured grid of bins and merges all points contained in each bin.The Quadric
This filter generates a bounding box representation of the input.The Outline filter
Clustering filter produces a reduced-resolution polygonal
generates an axis-aligned bounding box for the input
approximation of the input polygonal dataset. This filter
dataset. This filter operates on any type of dataset and
is the one used by ParaView for computing LODs. It uses
produces polygonal output.
spatial binning to reduce the number of points in the data
set; points that lie within the same spatial bin are
collapsed into one representative point.


{| class="PropertiesTable" border="1" cellpadding="5"
{| class="PropertiesTable" border="1" cellpadding="5"
Line 7,340: Line 7,632:
|'''Input''' (Input)
|'''Input''' (Input)
|
|
This property specifies the input to the Quadric
This property specifies the input to the Outline
Clustering filter.
filter.
|
|


|
|
Accepts input of following types:
Accepts input of following types:
* vtkPolyData
* vtkDataSet
|-
 
|'''Number of Dimensions''' (NumberOfDivisions)
|}
|
 
This property specifies the number of bins along the X,
==Outline Corners==
Y, and Z axes of the data set.
 
|
This filter generates a bounding box representation of the input. It only displays the corners of the bounding box.The
50 50 50
Outline Corners filter generates the corners of a bounding
|
box for the input dataset. This filter operates on any
type of dataset and produces polygonal
output.


{| class="PropertiesTable" border="1" cellpadding="5"
|-
|-
|'''UseInputPoints''' (UseInputPoints)
| '''Property'''
|
| '''Description'''
If the value of this property is set to 1, the
| '''Default Value(s)'''
representative point for each bin is selected from one of the input
| '''Restrictions'''
points that lies in that bin; the input point that produces the least
 
error is chosen. If the value of this property is 0, the location of
the representative point is calculated to produce the least error
possible for that bin, but the point will most likely not be one of the
input points.
|
1
|
Accepts boolean values (0 or 1).
|-
|-
|'''UseFeatureEdges''' (UseFeatureEdges)
|'''Input''' (Input)
|
|
If this property is set to 1, feature edge quadrics will
This property specifies the input to the Outline Corners
be used to maintain the boundary edges along processor
filter.
divisions.
|
|
0
 
|
|
Accepts boolean values (0 or 1).
Accepts input of following types:
* vtkDataSet
|-
|-
|'''UseFeaturePoints''' (UseFeaturePoints)
|'''CornerFactor''' (CornerFactor)
|
|
If this property is set to 1, feature point quadrics
The value of this property sets the size of the corners
will be used to maintain the boundary points along processor
as a percentage of the length of the corresponding bounding box
divisions.
edge.
|
|
0
0.2
|
|
Accepts boolean values (0 or 1).
 
|-
 
|'''CopyCellData''' (CopyCellData)
|}
|
 
If this property is set to 1, the cell data from the
==Outline Curvilinear DataSet==
input will be copied to the output.
 
|
This filter generates an outline representation of the input.The Outline filter
1
generates an outline of the outside edges of the input
|
dataset, rather than the dataset's bounding box. This
Accepts boolean values (0 or 1).
filter operates on structured grid datasets and produces
polygonal output.
 
{| class="PropertiesTable" border="1" cellpadding="5"
|-
| '''Property'''
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''
 
|-
|-
|'''UseInternalTriangles''' (UseInternalTriangles)
|'''Input''' (Input)
|
|
If this property is set to 1, triangles completely
This property specifies the input to the outline
contained in a spatial bin will be included in the computation of the
(curvilinear) filter.
bin's quadrics. When this property is set to 0, the filters operates
faster, but the resulting surface may not be as
well-behaved.
|
|
0
 
|
|
Accepts boolean values (0 or 1).
Accepts input of following types:
* vtkStructuredGrid


|}
|}


==Random Vectors==
==Outline Generic DataSet==


This filter creates a new 3-component point data array and sets it as the default vector array. It uses a random number generator to create values.The Random
This filter generates a bounding box representation of the input.The Generic Outline
Vectors filter generates a point-centered array of random
filter generates an axis-aligned bounding box for the
vectors. It uses a random number generator to determine
input data set. The Input menu specifies the data set for
the components of the vectors. This filter operates on any
which to create a bounding box. This filter operates on
type of data set, and the output data set will be of the
generic data sets and produces polygonal
same type as the input.
output.


{| class="PropertiesTable" border="1" cellpadding="5"
{| class="PropertiesTable" border="1" cellpadding="5"
Line 7,433: Line 7,727:
|'''Input''' (Input)
|'''Input''' (Input)
|
|
This property specifies the input to the Random Vectors
Set the input to the Generic Outline
filter.
filter.
|
|
Line 7,439: Line 7,733:
|
|
Accepts input of following types:
Accepts input of following types:
* vtkDataSet
* vtkGenericDataSet
|-
 
|'''MinimumSpeed''' (MinimumSpeed)
|}
|
This property specifies the minimum length of the random
point vectors generated.
|
0
|


|-
==ParticlePath==
|'''MaximumSpeed''' (MaximumSpeed)
|
This property specifies the maximum length of the random
point vectors generated.
|
1
|


 
Trace Particle Paths through time in a vector field.
|}
The Particle Trace filter generates pathlines in a vector
 
field from a collection of seed points. The vector field
==Rectilinear Data to Point Set==
used is selected from the Vectors menu, so the input data
 
set is required to have point-centered vectors. The Seed
The Rectilinear Grid to Point Set filter takes an
portion of the interface allows you to select whether the
rectilinear grid object and outputs an equivalent structured grid (which
seed points for this integration lie in a point cloud or
as a type of point set). This brings the data to a broader category of
along a line. Depending on which is selected, the
data storage but only adds a small amount of overhead. This filter can be
appropriate 3D widget (point or line widget) is displayed
helpful in applying filters that expect or manipulate point
along with traditional user interface controls for
coordinates.
positioning the point cloud or line within the data set.
Instructions for using the 3D widgets and the
corresponding manual controls can be found in section 7.4.
This filter operates on any type of data set, provided it
has point-centered vectors. The output is polygonal data
containing polylines. This filter is available on the
Toolbar.


{| class="PropertiesTable" border="1" cellpadding="5"
{| class="PropertiesTable" border="1" cellpadding="5"
Line 7,480: Line 7,767:
|'''Input''' (Input)
|'''Input''' (Input)
|
|
 
Specify which is the Input of the StreamTracer
filter.
|
|


|
|
Accepts input of following types:
Accepts input of following types:
* vtkRectilinearGrid
* vtkDataObject
The dataset must contain a field array (point)


|}
with 3 component(s).


==Rectilinear Grid Connectivity==
Parallel fragments extraction and attributes integration on rectilinear grids.
Extracts material fragments from multi-block vtkRectilinearGrid datasets
based on the selected volume fraction array(s) and a fraction isovalue
and integrates the associated attributes.
{| class="PropertiesTable" border="1" cellpadding="5"
|-
|-
| '''Property'''
|'''Seed Source''' (Source)
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''
 
|-
|'''Input''' (Input)
|
|
This property specifies the input of the
Specify the seed dataset. Typically fron where the
filter.
vector field integration should begin. Usually a point/radius or a line
with a given resolution.
|
|


|
|
Accepts input of following types:
Accepts input of following types:
* vtkRectilinearGrid
* vtkDataSet
* vtkCompositeDataSet
The dataset much contain a field array (cell)
 
with 1 component(s).
 
|-
|-
|'''Double Volume Arrays''' (AddDoubleVolumeArrayName)
|'''TerminationTime''' (TerminationTime)
|
|
This property specifies the name(s) of the volume
Setting TerminationTime to a positive value will cause
fraction array(s) for generating parts.
particles to terminate when the time is reached. The units of time
should be consistent with the primary time variable.
|
0.0
|
 
|-
|'''TimestepValues''' (TimestepValues)
|
 
|
 
|
|


|-
|'''ForceReinjectionEveryNSteps''' (ForceReinjectionEveryNSteps)
|
|
An array of scalars is required.
When animating particles, it is nice to inject new ones
every Nth step to produce a continuous flow. Setting
ForceReinjectionEveryNSteps to a non zero value will cause the particle
source to reinject particles every Nth step even if it is otherwise
unchanged. Note that if the particle source is also animated, this flag
will be redundant as the particles will be reinjected whenever the
source changes anyway
|
0
|
 
|-
|-
|'''Float Volume Arrays''' (AddFloatVolumeArrayName)
|'''StaticSeeds''' (StaticSeeds)
|
If the input seeds are not changing, then this
can be set to 1 to avoid having to do a repeated grid search
that would return the exact same result.
 
|
0
|
|
This property specifies the name(s) of the volume
Accepts boolean values (0 or 1).
fraction array(s) for generating parts.
|-
|'''StaticMesh''' (StaticMesh)
|
|
If the input grid is not changing, then this
can be set to 1 to avoid having to create cell locators for
each update.


|
|
An array of scalars is required.
0
|
Accepts boolean values (0 or 1).
|-
|-
|'''Unsigned Character Volume Arrays''' (AddUnsignedCharVolumeArrayName)
|'''SelectInputVectors''' (SelectInputVectors)
|
|
This property specifies the name(s) of the volume
Specify which vector array should be used for the
fraction array(s) for generating parts.
integration through that filter.
|
|


|
|
An array of scalars is required.
An array of vectors is required.
|-
|'''ComputeVorticity''' (ComputeVorticity)
|
Compute vorticity and angular rotation of particles as
they progress
|
1
|
Accepts boolean values (0 or 1).
|-
|-
|'''Volume Fraction Value''' (VolumeFractionSurfaceValue)
|'''Terminal Speed''' (TerminalSpeed)
|
|
The value of this property is the volume fraction value
This property specifies the terminal speed, below which
for the surface.
particle advection/integration is terminated.
|
|
0.1
0.000000000001
|
|


Line 7,557: Line 7,873:
|}
|}


==RectilinearGridGeometryFilter==
==ParticleTracer==


Extracts geometry for a rectilinear grid. Output is a polydata dataset.
Trace Particles through time in a vector field.
RectilinearGridGeometryFilter is a filter that extracts
The Particle Trace filter generates pathlines in a vector
geometry from a rectilinear grid. By specifying
field from a collection of seed points. The vector field
appropriate i-j-k indices, it is possible to extract a
used is selected from the Vectors menu, so the input data
point, a curve, a surface, or a "volume". The volume is
set is required to have point-centered vectors. The Seed
actually a (n x m x o) region of points. The extent
portion of the interface allows you to select whether the
specification is zero-offset. That is, the first k-plane
seed points for this integration lie in a point cloud or
in a 50x50x50 rectilinear grid is given by (0,49, 0,49,
along a line. Depending on which is selected, the
0,0).
appropriate 3D widget (point or line widget) is displayed
along with traditional user interface controls for
positioning the point cloud or line within the data set.
Instructions for using the 3D widgets and the
corresponding manual controls can be found in section 7.4.
This filter operates on any type of data set, provided it
has point-centered vectors. The output is polygonal data
containing polylines. This filter is available on the
Toolbar.


{| class="PropertiesTable" border="1" cellpadding="5"
{| class="PropertiesTable" border="1" cellpadding="5"
Line 7,579: Line 7,903:
|'''Input''' (Input)
|'''Input''' (Input)
|
|
Set the input to the Rectilinear Grid Geometry
Specify which is the Input of the StreamTracer
filter.
filter.
|
|
Line 7,585: Line 7,909:
|
|
Accepts input of following types:
Accepts input of following types:
* vtkDataSet
* vtkDataObject
The dataset must contain a field array (point)


|}
with 3 component(s).
 
==ReductionFilter==


{| class="PropertiesTable" border="1" cellpadding="5"
|-
|-
| '''Property'''
|'''Seed Source''' (Source)
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''
 
|-
|'''Input''' (Input)
|
|
Set the input to the Reduction filter.
Specify the seed dataset. Typically fron where the
vector field integration should begin. Usually a point/radius or a line
with a given resolution.
|
|


|
|
 
Accepts input of following types:
* vtkDataSet
|-
|-
|'''PreGatherHelperName''' (PreGatherHelperName)
|'''StaticSeeds''' (StaticSeeds)
|
|
Set the algorithm that runs on each node in
If the input seeds are not changing, then this
parallel.
can be set to 1 to avoid having to do a repeated grid search
that would return the exact same result.
 
|
|
 
0
|
|
 
Accepts boolean values (0 or 1).
|-
|-
|'''PostGatherHelperName''' (PostGatherHelperName)
|'''StaticMesh''' (StaticMesh)
|
Set the algorithm that takes multiple inputs and
produces a single reduced output.
|
|
If the input grid is not changing, then this
can be set to 1 to avoid having to create cell locators for
each update.


|
|
 
0
|
Accepts boolean values (0 or 1).
|-
|-
|'''PostGatherHelper''' (PostGatherHelper)
|'''TimestepValues''' (TimestepValues)
|
|


Line 7,635: Line 7,956:


|-
|-
|'''PreGatherHelper''' (PreGatherHelper)
|'''ForceReinjectionEveryNSteps''' (ForceReinjectionEveryNSteps)
|
|
 
When animating particles, it is nice to inject new ones
every Nth step to produce a continuous flow. Setting
ForceReinjectionEveryNSteps to a non zero value will cause the particle
source to reinject particles every Nth step even if it is otherwise
unchanged. Note that if the particle source is also animated, this flag
will be redundant as the particles will be reinjected whenever the
source changes anyway
|
|
 
0
|
|


|-
|-
|'''PassThrough''' (PassThrough)
|'''SelectInputVectors''' (SelectInputVectors)
|
|
If set to a non-negative value, then produce results
Specify which vector array should be used for the
using only the node Id specified.
integration through that filter.
|
|
-1
 
|
|
 
An array of vectors is required.
|-
|-
|'''GenerateProcessIds''' (GenerateProcessIds)
|'''ComputeVorticity''' (ComputeVorticity)
|
|
If true, the filter will generate vtkOriginalProcessIds
Compute vorticity and angular rotation of particles as
arrays indicating the process id on which the cell/point was
they progress
generated.
|
|
0
1
|
|
Accepts boolean values (0 or 1).
Accepts boolean values (0 or 1).
Line 7,664: Line 7,990:
|}
|}


==Reflect==
==Pass Arrays==


This filter takes the union of the input and its reflection over an axis-aligned plane.The
Pass specified point and cell data arrays.
Reflect filter reflects the input dataset across the
The Pass Arrays filter makes a shallow copy of the output
specified plane. This filter operates on any type of data
data object from the input data object except for passing
set and produces an unstructured grid
only the arrays specified to the output from the
output.
input.


{| class="PropertiesTable" border="1" cellpadding="5"
{| class="PropertiesTable" border="1" cellpadding="5"
Line 7,682: Line 8,008:
|'''Input''' (Input)
|'''Input''' (Input)
|
|
This property specifies the input to the Reflect
 
filter.
|
|


|
|
Accepts input of following types:
Accepts input of following types:
* vtkDataSet
* vtkDataObject
The dataset must contain a field array (cell)
 
The dataset must contain a field array (point)
 
The dataset must contain a field array (field)
 
|-
|-
|'''Plane''' (Plane)
|'''PointDataArrays''' (PointDataArrays)
|
|
The value of this property determines which plane to
Add a point array by name to be passed.
reflect across. If the value is X, Y, or Z, the value of the Center
property determines where the plane is placed along the specified axis.
The other six options (X Min, X Max, etc.) place the reflection plane
at the specified face of the bounding box of the input
dataset.
|
|
0
 
|
|
The value(s) is an enumeration of the following:
 
* X Min (0)
|-
* Y Min (1)
|'''CellDataArrays''' (CellDataArrays)
* Z Min (2)
|
* X Max (3)
Add a cell array by name to be passed.
* Y Max (4)
|
* Z Max (5)
 
* X (6)
|
* Y (7)
 
* Z (8)
|-
|-
|'''Center''' (Center)
|'''FieldDataArrays''' (FieldDataArrays)
|
|
If the value of the Plane property is X, Y, or Z, then
Add a field array by name to be passed.
the value of this property specifies the center of the reflection
plane.
|
|
0.0
 
|
|


|-
|-
|'''CopyInput''' (CopyInput)
|'''UseFieldTypes''' (UseFieldTypes)
|
|
If this property is set to 1, the output will contain
This hidden property must always be set to 1 for this
the union of the input dataset and its reflection. Otherwise the output
proxy to work.
will contain only the reflection of the input data.
|
|
1
1
|
Accepts boolean values (0 or 1).
|-
|'''SelectedFieldTypes''' (SelectedFieldTypes)
|
This hidden property must always be set to 0 for this
proxy to work.
|
0 1 2
|
|
Accepts boolean values (0 or 1).
Accepts boolean values (0 or 1).
Line 7,734: Line 8,065:
|}
|}


==Resample AMR==
==Pass Through==
 


A simple pass-through filter that doesn't transform data in any way.




Line 7,748: Line 8,081:
|'''Input''' (Input)
|'''Input''' (Input)
|
|
This property specifies the input for this
This property specifies the input to the filter.
filter.
|
|


|
|
Accepts input of following types:
Accepts input of following types:
* vtkOverlappingAMR
* vtkDataSet
 
|}
 
==Plot Data==
 
Plot data arrays from the inputThis filter
prepare arbitrary data to be plotted in any of the plots. By default the
data is shown in a XY line plot.
 
{| class="PropertiesTable" border="1" cellpadding="5"
|-
| '''Property'''
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''
 
|-
|-
|'''Demand-Driven Mode''' (Demand-Driven Mode)
|'''Input''' (Input)
|
|
This property specifies whether the resampling filter
The input.
will operate in demand-driven mode or not.
|
1
|
Accepts boolean values (0 or 1).
|-
|'''TransferToNodes''' (TransferToNodes)
|
This property specifies whether the solution will be
transfered to the nodes of the extracted region or the
cells.
|
1
|
Accepts boolean values (0 or 1).
|-
|'''NumberOfPartitions''' (NumberOfPartitions)
|
Set the number of subdivisions for recursive coordinate
bisection.
|
1
|
|


|-
|'''Number of Samples''' (Number of Samples)
|
Sets the number of samples in each
dimension
|
10 10 10
|
|-
|'''Min''' (Min)
|
This property sets the minimum 3-D coordinate location
by which the particles will be filtered out.
|
0.0 0.0 0.0
|
|
 
Accepts input of following types:
|-
* vtkDataObject
|'''Max''' (Max)
|
This property sets the minimum 3-D coordinate location
by which the particles will be filtered out.
|
0.0 0.0 0.0
|
 


|}
|}


==Resample With Dataset==
==Plot Global Variables Over Time==


Sample data attributes at the points of a dataset.
Extracts and plots data in field data over time.
Probe is a filter that computes point attributes at
This filter extracts the variables that reside in a
specified point positions. The filter has two inputs: the
dataset's field data and are defined over time. The output
Input and Source. The Input geometric structure is passed
is a 1D rectilinear grid where the x coordinates
through the filter. The point attributes are computed at
correspond to time (the same array is also copied to a
the Input point positions by interpolating into the source
point array named Time or TimeData (if Time exists in the
data. For example, we can compute data values on a plane
input)).
(plane specified as Input) from a volume (Source). The
cell data of the source data is copied to the output based
on in which source cell each input point is. If an array
of the same name exists both in source's point and cell
data, only the one from the point data is
probed.


{| class="PropertiesTable" border="1" cellpadding="5"
{| class="PropertiesTable" border="1" cellpadding="5"
Line 7,839: Line 8,135:
|'''Input''' (Input)
|'''Input''' (Input)
|
|
This property specifies the dataset from which to obtain
The input from which the selection is
probe values.
extracted.
|
|


Line 7,846: Line 8,142:
Accepts input of following types:
Accepts input of following types:
* vtkDataSet
* vtkDataSet
* vtkCompositeDataSet
The dataset much contain a field array ()


|}
==Plot On Intersection Curves==
Extracts the edges in a 2D plane and plots them
Extracts the surface, intersect it with a 2D plane. Plot
the resulting polylines.
{| class="PropertiesTable" border="1" cellpadding="5"
|-
|-
|'''Source''' (Source)
| '''Property'''
|
| '''Description'''
This property specifies the dataset whose geometry will
| '''Default Value(s)'''
be used in determining positions to probe.
| '''Restrictions'''
|


|
Accepts input of following types:
* vtkDataSet


|}
|}


==Ribbon==
==Plot On Sorted Lines==


This filter generates ribbon surface from lines. It is useful for displaying streamlines.The Ribbon
The Plot on Sorted Lines filter sorts and orders polylines for graph visualization.The Plot on Sorted Lines filter sorts and orders
filter creates ribbons from the lines in the input data
polylines for graph visualization. See http://www.paraview.org/ParaView3/index.php/Plotting_Over_Curves for more information.
set. This filter is useful for visualizing streamlines.
Both the input and output of this filter are polygonal
data. The input data set must also have at least one
point-centered vector array.


{| class="PropertiesTable" border="1" cellpadding="5"
{| class="PropertiesTable" border="1" cellpadding="5"
Line 7,881: Line 8,176:
|'''Input''' (Input)
|'''Input''' (Input)
|
|
This property specifies the input to the Ribbon
This property specifies the input to the Plot Edges
filter.
filter.
|
|
Line 7,888: Line 8,183:
Accepts input of following types:
Accepts input of following types:
* vtkPolyData
* vtkPolyData
The dataset much contain a field array (point)


with 3 component(s).
|}


The dataset much contain a field array (point)
==Plot Over Line==


with 1 component(s).
Sample data attributes at the points along a line. Probed lines will be displayed in a graph of the attributes.
The Plot Over Line filter samples the data set attributes
of the current data set at the points along a line. The
values of the point-centered variables along that line
will be displayed in an XY Plot. This filter uses
interpolation to determine the values at the selected
point, whether or not it lies at an input point. The Probe
filter operates on any type of data and produces polygonal
output (a line).


{| class="PropertiesTable" border="1" cellpadding="5"
|-
|-
|'''Scalars''' (SelectInputScalars)
| '''Property'''
|
| '''Description'''
The value of this property indicates the name of the
| '''Default Value(s)'''
input scalar array used by this filter. The width of the ribbons will
| '''Restrictions'''
be varied based on the values in the specified array if the value of
 
the Width property is 1.
 
|
|}
 
==Plot Selection Over Time==
 
Extracts selection over time and then plots it.
This filter extracts the selection over time, i.e. cell
and/or point variables at a cells/point selected are
extracted over time The output multi-block consists of 1D
rectilinear grids where the x coordinate corresponds to
time (the same array is also copied to a point array named
Time or TimeData (if Time exists in the input)). If
selection input is a Location based selection then the
point values are interpolated from the nearby cells, ie
those of the cell the location lies in.


|
{| class="PropertiesTable" border="1" cellpadding="5"
An array of scalars is required.
|-
|-
|'''Vectors''' (SelectInputVectors)
| '''Property'''
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''
 
|-
|'''Input''' (Input)
|
The input from which the selection is
extracted.
|
|
The value of this property indicates the name of the
 
input vector array used by this filter. If the UseDefaultNormal
|
property is set to 0, the normal vectors for the ribbons come from the
Accepts input of following types:
specified vector array.
* vtkDataSet
* vtkTable
* vtkCompositeDataSet
|-
|'''Selection''' (Selection)
|
The input that provides the selection
object.
|
|
1
 
|
|
An array of vectors is required.
Accepts input of following types:
* vtkSelection
|-
|-
|'''Width''' (Width)
|'''Only Report Selection Statistics''' (Only Report Selection Statistics)
|
|
If the VaryWidth property is set to 1, the value of this
If this property is set to 1, the min, max,
property is the minimum ribbon width. If the VaryWidth property is set
inter-quartile ranges, and (for numeric arrays) mean and standard
to 0, the value of this property is half the width of the
deviation of all the selected points or cells within each time step
ribbon.
are reported -- instead of breaking each selected point's or cell's
attributes out into separate time history tables.
|
|
1
1
|
|
Accepts boolean values (0 or 1).


The value must be less than the largest dimension of the
|}
dataset multiplied by a scale factor of
 
0.01.
==Point Data to Cell Data==
 
Create cell attributes by averaging point attributes.The Point
Data to Cell Data filter averages the values of the point
attributes of the points of a cell to compute cell
attributes. This filter operates on any type of dataset,
and the output dataset is the same type as the
input.
 
{| class="PropertiesTable" border="1" cellpadding="5"
|-
| '''Property'''
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''


|-
|-
|'''Angle''' (Angle)
|'''Input''' (Input)
|
|
The value of this property specifies the offset angle
This property specifies the input to the Point Data to
(in degrees) of the ribbon from the line normal.
Cell Data filter.
|
|
0
 
|
|
Accepts input of following types:
* vtkDataSetOnce set, the input dataset cannot be changed.
The dataset must contain a field array (point)


|-
|-
|'''UseDefaultNormal''' (UseDefaultNormal)
|'''PassPointData''' (PassPointData)
|
|
If this property is set to 0, and the input contains no
The value of this property controls whether the input
vector array, then default ribbon normals will be generated
point data will be passed to the output. If set to 1, then the input
(DefaultNormal property); if a vector array has been set
point data is passed through to the output; otherwise, only generated
(SelectInputVectors property), the ribbon normals will be set from the
cell data is placed into the output.
specified array. If this property is set to 1, the default normal
(DefaultNormal property) will be used, regardless of whether the
SelectInputVectors property has been set.
|
|
0
0
|
|
Accepts boolean values (0 or 1).
Accepts boolean values (0 or 1).
|-
|'''DefaultNormal''' (DefaultNormal)
|
The value of this property specifies the normal to use
when the UseDefaultNormal property is set to 1 or the input contains no
vector array (SelectInputVectors property).
|
0 0 1
|


|-
|}
|'''VaryWidth''' (VaryWidth)
|
If this property is set to 1, the ribbon width will be
scaled according to the scalar array specified in the
SelectInputScalars property. Toggle the variation of ribbon width with
scalar value.
|
0
|
Accepts boolean values (0 or 1).


|}
==PolyLine To Rectilinear Grid==


==Rotational Extrusion==


This filter generates a swept surface while translating the input along a circular path.
The Rotational Extrusion filter forms a surface by
rotating the input about the Z axis. This filter is
intended to operate on 2D polygonal data. It produces
polygonal output.


{| class="PropertiesTable" border="1" cellpadding="5"
{| class="PropertiesTable" border="1" cellpadding="5"
Line 7,998: Line 8,321:
|'''Input''' (Input)
|'''Input''' (Input)
|
|
This property specifies the input to the Rotational
Set the input to the Polyline to Rectilinear Grid
Extrusion filter.
filter.
|
|


Line 8,005: Line 8,328:
Accepts input of following types:
Accepts input of following types:
* vtkPolyData
* vtkPolyData
|-
|'''Resolution''' (Resolution)
|
The value of this property controls the number of
intermediate node points used in performing the sweep (rotating from 0
degrees to the value specified by the Angle property.
|
12
|


|-
|}
|'''Capping''' (Capping)
 
|
==Principal Component Analysis==
If this property is set to 1, the open ends of the swept
 
surface will be capped with a copy of the input dataset. This works
Compute a statistical model of a dataset and/or assess the dataset with a statistical model.
property if the input is a 2D surface composed of filled polygons. If
This filter either computes a statistical model of a dataset or takes
the input dataset is a closed solid (e.g., a sphere), then either two
such a model as its second input. Then, the model (however it is
copies of the dataset will be drawn or no surface will be drawn. No
obtained) may optionally be used to assess the input dataset. <p>
surface is drawn if either this property is set to 0 or if the two
This filter performs additional analysis above and beyond the
surfaces would occupy exactly the same 3D space (i.e., the Angle
multicorrelative filter. It computes the eigenvalues and eigenvectors of
property's value is a multiple of 360, and the values of the
the covariance matrix from the multicorrelative filter. Data is then
Translation and DeltaRadius properties are 0).
assessed by projecting the original tuples into a possibly
|
lower-dimensional space. <p> Since the PCA filter uses the
1
multicorrelative filter's analysis, it shares the same raw covariance
|
table specified in the multicorrelative documentation. The second table
Accepts boolean values (0 or 1).
in the multiblock dataset comprising the model output is an expanded
|-
version of the multicorrelative version. <p> As with the
|'''Angle''' (Angle)
multicorrlative filter, the second model table contains the mean values,
|
the upper-triangular portion of the symmetric covariance matrix, and the
This property specifies the angle of rotation in
non-zero lower-triangular portion of the Cholesky decomposition of the
degrees. The surface is swept from 0 to the value of this
covariance matrix. Below these entries are the eigenvalues of the
property.
covariance matrix (in the column labeled "Mean") and the eigenvectors (as
|
row vectors) in an additional NxN matrix.
360
|
 
|-
|'''Translation''' (Translation)
|
The value of this property specifies the total amount of
translation along the Z axis during the sweep process. Specifying a
non-zero value for this property allows you to create a corkscrew
(value of DeltaRadius > 0) or spring effect.
|
0
|
 
|-
|'''DeltaRadius''' (DeltaRadius)
|
The value of this property specifies the change in
radius during the sweep process.
|
0
|
 
 
|}
 
==Scatter Plot==
 
Creates a scatter plot from a dataset.This
filter creates a scatter plot from a
dataset.


{| class="PropertiesTable" border="1" cellpadding="5"
{| class="PropertiesTable" border="1" cellpadding="5"
Line 8,080: Line 8,363:
|'''Input''' (Input)
|'''Input''' (Input)
|
|
This property specifies the input to the
The input to the filter. Arrays from this dataset will
filter.
be used for computing statistics and/or assessed by a statistical
model.
|
|


|
|
Accepts input of following types:
Accepts input of following types:
* vtkDataSet
* vtkImageData
 
* vtkStructuredGrid
|}
* vtkPolyData
 
* vtkUnstructuredGrid
==Shrink==
* vtkTable
* vtkGraph
The dataset must contain a field array ()


This filter shrinks each input cell so they pull away from their neighbors.The Shrink filter
causes the individual cells of a dataset to break apart
from each other by moving each cell's points toward the
centroid of the cell. (The centroid of a cell is the
average position of its points.) This filter operates on
any type of dataset and produces unstructured grid
output.
{| class="PropertiesTable" border="1" cellpadding="5"
|-
|-
| '''Property'''
|'''ModelInput''' (ModelInput)
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''
 
|-
|'''Input''' (Input)
|
|
This property specifies the input to the Shrink
A previously-calculated model with which to assess a
filter.
separate dataset. This input is optional.
|
|


|
|
Accepts input of following types:
Accepts input of following types:
* vtkDataSet
* vtkTable
* vtkMultiBlockDataSet
|-
|-
|'''ShrinkFactor''' (ShrinkFactor)
|'''AttributeMode''' (AttributeMode)
|
Specify which type of field data the arrays will be
drawn from.
|
0
|
|
The value of this property determines how far the points
The value must be field array name.
will move. A value of 0 positions the points at the centroid of the
|-
cell; a value of 1 leaves them at their original
|'''Variables of Interest''' (SelectArrays)
positions.
|
|
0.5
Choose arrays whose entries will be used to form
observations for statistical analysis.
|
|


|


|}
|-
 
|'''Task''' (Task)
==Slice==
|
 
Specify the task to be performed: modeling and/or
This filter slices a data set with a plane. Slicing is similar to a contour. It creates surfaces from volumes and lines from surfaces.This filter
assessment. <ol> <li> "Detailed model of input data,"
extracts the portion of the input dataset that lies along
creates a set of output tables containing a calculated statistical
the specified plane. The Slice filter takes any type of
model of the <b>entire</b> input dataset;</li>
dataset as input. The output of this filter is polygonal
<li> "Model a subset of the data," creates an output table (or
data.
tables) summarizing a <b>randomly-chosen subset</b> of the
 
input dataset;</li> <li> "Assess the data with a model,"
{| class="PropertiesTable" border="1" cellpadding="5"
adds attributes to the first input dataset using a model provided on
|-
the second input port; and</li> <li> "Model and assess the
| '''Property'''
same data," is really just operations 2 and 3 above applied to the same
| '''Description'''
input dataset. The model is first trained using a fraction of the input
| '''Default Value(s)'''
data and then the entire dataset is assessed using that
| '''Restrictions'''
model.</li> </ol> When the task includes creating a model
 
(i.e., tasks 2, and 4), you may adjust the fraction of the input
|-
dataset used for training. You should avoid using a large fraction of
|'''Input''' (Input)
the input data for training as you will then not be able to detect
overfitting. The <i>Training fraction</i> setting will be
ignored for tasks 1 and 3.
|
|
This property specifies the input to the Slice
3
filter.
|
|
 
The value(s) is an enumeration of the following:
|
* Detailed model of input data (0)
Accepts input of following types:
* Model a subset of the data (1)
* vtkDataSet
* Assess the data with a model (2)
* Model and assess the same data (3)
|-
|-
|'''Slice Type''' (CutFunction)
|'''TrainingFraction''' (TrainingFraction)
|
|
This property sets the parameters of the slice
Specify the fraction of values from the input dataset to
function.
be used for model fitting. The exact set of values is chosen at random
from the dataset.
|
|
 
0.1
|
|
The value can be one of the following:
* Plane (implicit_functions)
* Box (implicit_functions)
* Sphere (implicit_functions)


|-
|-
|'''InputBounds''' (InputBounds)
|'''Normalization Scheme''' (NormalizationScheme)
|
|
 
Before the eigenvector decomposition of the covariance
matrix takes place, you may normalize each (i,j) entry by sqrt(
cov(i,i) * cov(j,j) ). This implies that the variance of each variable
of interest should be of equal importance.
|
|
 
2
|
|
 
The value(s) is an enumeration of the following:
* No normalization (0)
* Normalize using covariances (3)
|-
|-
|'''Crinkle slice''' (PreserveInputCells)
|'''Basis Scheme''' (BasisScheme)
|
|
This parameter controls whether to extract the entire
When reporting assessments, should the full eigenvector
cells that are sliced by the region or just extract a triangulated
decomposition be used to project the original vector into the new space
surface of that region.
(Full basis), or should a fixed subset of the decomposition be used
(Fixed-size basis), or should the projection be clipped to preserve at
least some fixed "energy" (Fixed-energy basis)?<p> As an example,
suppose the variables of interest were {A,B,C,D,E} and that the
eigenvalues of the covariance matrix for these were {5,2,1.5,1,.5}. If
the "Full basis" scheme is used, then all 5 components of the
eigenvectors will be used to project each {A,B,C,D,E}-tuple in the
original data into a new 5-components space.<p> If the
"Fixed-size" scheme is used and the "Basis Size" property is set to 4,
then only the first 4 eigenvector components will be used to project
each {A,B,C,D,E}-tuple into the new space and that space will be of
dimension 4, not 5.<p> If the "Fixed-energy basis" scheme is used
and the "Basis Energy" property is set to 0.8, then only the first 3
eigenvector components will be used to project each {A,B,C,D,E}-tuple
into the new space, which will be of dimension 3. The number 3 is
chosen because 3 is the lowest N for which the sum of the first N
eigenvalues divided by the sum of all eigenvalues is larger than the
specified "Basis Energy" (i.e., (5+2+1.5)/10 = 0.85 >
0.8).
|
|
0
0
|
|
Accepts boolean values (0 or 1).
The value(s) is an enumeration of the following:
* Full basis (0)
* Fixed-size basis (1)
* Fixed-energy basis (2)
|-
|-
|'''Triangulate the slice''' (Triangulate the slice)
|'''Basis Size''' (BasisSize)
|
|
This parameter controls whether to produce triangles in the output.
The maximum number of eigenvector components to use when
projecting into the new space.
|
|
1
2
|
|
Accepts boolean values (0 or 1).
 
|-
|-
|'''Slice Offset Values''' (ContourValues)
|'''Basis Energy''' (BasisEnergy)
|
The minimum energy to use when determining the
dimensionality of the new space into which the assessment will project
tuples.
|
|
The values in this property specify a list of current
0.1
offset values. This can be used to create multiple slices with
different centers. Each entry represents a new slice with its center
shifted by the offset value.
|
|


|-
|'''RobustPCA''' (RobustPCA)
|
Compute robust PCA with medians instead of means.
|
0
|
|
Accepts boolean values (0 or 1).


Determine the length of the dataset's diagonal.
|}
The value must lie within -diagonal length to +diagonal length.


==Probe Location==


|}
Sample data attributes at the points in a point cloud.
 
The Probe filter samples the data set attributes of the
==Slice (demand-driven-composite)==
current data set at the points in a point cloud. The Probe
 
filter uses interpolation to determine the values at the
This filter slices a data set with a plane. Slicing is similar to a contour. It creates surfaces from volumes and lines from surfaces.This filter
selected point, whether or not it lies at an input point.
extracts the portion of the input dataset that lies along
The Probe filter operates on any type of data and produces
the specified plane. The Slice filter takes any type of
polygonal output (a point cloud).
dataset as input. The output of this filter is polygonal
data.


{| class="PropertiesTable" border="1" cellpadding="5"
{| class="PropertiesTable" border="1" cellpadding="5"
Line 8,232: Line 8,540:
|'''Input''' (Input)
|'''Input''' (Input)
|
|
This property specifies the input to the Slice
This property specifies the dataset from which to obtain
filter.
probe values.
|
|


|
|
Accepts input of following types:
Accepts input of following types:
* vtkDataObject
* vtkDataSet
* vtkCompositeDataSet
The dataset must contain a field array ()
 
|-
|-
|'''Slice Type''' (CutFunction)
|'''Probe Type''' (Source)
|
|
This property sets the parameters of the slice
This property specifies the dataset whose geometry will
function.
be used in determining positions to probe.
|
|


|
|
The value can be one of the following:
The value can be one of the following:
* Plane (implicit_functions)
* FixedRadiusPointSource (extended_sources)


* Box (implicit_functions)
|-
|'''PassFieldArrays''' (PassFieldArrays)
|


* Sphere (implicit_functions)
Set whether to pass the field-data arrays from the Input i.e. the input
providing the geometry to the output. On by default.


|
1
|
Accepts boolean values (0 or 1).
|-
|-
|'''InputBounds''' (InputBounds)
|'''ComputeTolerance''' (ComputeTolerance)
|
|
Set whether to compute the tolerance or to use a user provided
value. On by default.


|
|
 
1
|
|
 
Accepts boolean values (0 or 1).
|-
|-
|'''Slice Offset Values''' (ContourValues)
|'''Tolerance''' (Tolerance)
|
|
The values in this property specify a list of current
Set the tolerance to use for
offset values. This can be used to create multiple slices with
vtkDataSet::FindCell
different centers. Each entry represents a new slice with its center
shifted by the offset value.
|
|
 
2.2204460492503131e-16
|
|
Determine the length of the dataset's diagonal.
The value must lie within -diagonal length to +diagonal length.




|}
|}


==Slice AMR data==
==Process Id Scalars==


Slices AMR DataThis filter slices AMR
This filter uses colors to show how data is partitioned across processes.The
data.
Process Id Scalars filter assigns a unique scalar value to
 
each piece of the input according to which processor it
{| class="PropertiesTable" border="1" cellpadding="5"
resides on. This filter operates on any type of data when
ParaView is run in parallel. It is useful for determining
whether your data is load-balanced across the processors
being used. The output data set type is the same as that
of the input.
 
{| class="PropertiesTable" border="1" cellpadding="5"
|-
|-
| '''Property'''
| '''Property'''
Line 8,294: Line 8,616:
|'''Input''' (Input)
|'''Input''' (Input)
|
|
This property specifies the input for this
This property specifies the input to the Process Id
filter.
Scalars filter.
|
|


|
|
Accepts input of following types:
Accepts input of following types:
* vtkOverlappingAMR
* vtkDataSet
|-
|-
|'''ForwardUpstream''' (ForwardUpstream)
|'''RandomMode''' (RandomMode)
|
|
This property specifies whether or not requests will be
The value of this property determines whether to use
propagated upstream.
random id values for the various pieces. If set to 1, the unique value
per piece will be chosen at random; otherwise the unique value will
match the id of the process.
|
|
0
0
|
|
Accepts boolean values (0 or 1).
Accepts boolean values (0 or 1).
|}
==Programmable Filter==
Executes a user supplied python script on its input dataset to produce an output dataset.
This filter will execute a python script to produce an
output dataset. The filter keeps a copy of the python
script in Script, and creates Interpretor, a python
interpretor to run the script upon the first
execution.
{| class="PropertiesTable" border="1" cellpadding="5"
|-
|-
|'''EnablePrefetching''' (EnablePrefetching)
| '''Property'''
|
| '''Description'''
This property specifies whether or not requests
| '''Default Value(s)'''
pre-fetching of blocks of the next level will be
| '''Restrictions'''
enabled.
 
|
0
|
Accepts boolean values (0 or 1).
|-
|-
|'''Level''' (Level)
|'''Input''' (Input)
|
|
Set maximum slice resolution.
This property specifies the input(s) to the programmable
filter.
|
|
0
 
|
|
 
Accepts input of following types:
* vtkDataObject
|-
|-
|'''OffSet''' (OffSet)
|'''OutputDataSetType''' (OutputDataSetType)
|
|
Set's the offset from the origin of the
The value of this property determines the dataset type
data-set
for the output of the programmable filter.
|
|
1.0
8
|
|
 
The value(s) is an enumeration of the following:
* Same as Input (8)
* vtkPolyData (0)
* vtkStructuredGrid (2)
* vtkRectilinearGrid (3)
* vtkUnstructuredGrid (4)
* vtkImageData (6)
* vtkUniformGrid (10)
* vtkMultiblockDataSet (13)
* vtkHierarchicalBoxDataSet (15)
* vtkTable (19)
|-
|'''Script''' (Script)
|
This property contains the text of a python program that
the programmable filter runs.
|
 
|
 
|-
|'''RequestInformation Script''' (InformationScript)
|
This property is a python script that is executed during
the RequestInformation pipeline pass. Use this to provide information
such as WHOLE_EXTENT to the pipeline downstream.
|
 
|
 
|-
|'''RequestUpdateExtent Script''' (UpdateExtentScript)
|
This property is a python script that is executed during
the RequestUpdateExtent pipeline pass. Use this to modify the update
extent that your filter ask up stream for.
|
 
|
 
|-
|-
|'''Normal''' (Normal)
|'''CopyArrays''' (CopyArrays)
|
|
This property sets the normal of the
If this property is set to true, all the cell and point
slice.
arrays from first input are copied to the output.
|
|
0
0
|
|
The value(s) is an enumeration of the following:
Accepts boolean values (0 or 1).
* X-Normal (1)
|-
* Y-Normal (2)
|'''Parameters''' (Parameters)
* Z-Normal (3)
|


|}
|


==Slice Generic Dataset==
|


This filter cuts a data set with a plane or sphere. Cutting is similar to a contour. It creates surfaces from volumes and lines from surfaces.The
|-
Generic Cut filter extracts the portion of the input data
|'''PythonPath''' (PythonPath)
set that lies along the specified plane or sphere. From
|
the Cut Function menu, you can select whether cutting will
A semi-colon (;) separated list of directories to add to
be performed with a plane or a sphere. The appropriate 3D
the python library search path.
widget (plane widget or sphere widget) will be displayed.
|
The parameters of the cut function can be specified
 
interactively using the 3D widget or manually using the
|
traditional user interface controls. Instructions for
 
using these 3D widgets and their corresponding user
|-
interfaces are found in section 7.4. By default, the cut
|'''TimestepValues''' (TimestepValues)
lies on the specified plane or sphere. Using the Cut
|
Offset Values portion of the interface, it is also
Available timestep values.
possible to cut the data set at some offset from the
|
original cut function. The Cut Offset Values are in the
 
spatial units of the data set. To add a single offset,
|
select the value from the New Value slider in the Add
 
value portion of the interface and click the Add button,
 
or press Enter. To instead add several evenly spaced
|}
offsets, use the controls in the Generate range of values
 
section. Select the number of offsets to generate using
==Python Annotation==
the Number of Values slider. The Range slider controls the
 
interval in which to generate the offsets. Once the number
This filter evaluates a Python expression for a text annotation
of values and range have been selected, click the Generate
This filter uses Python to calculate an expression. It
button. The new offsets will be added to the Offset Values
depends heavily on the numpy and paraview.vtk modules. To
list. To delete a value from the Cut Offset Values list,
use the parallel functions, mpi4py is also necessary. The
select the value and click the Delete button. (If no value
expression is evaluated and the resulting scalar value or
is selected, the last value in the list will be removed.)
numpy array is added to the output as an array. See numpy
Clicking the Delete All button removes all the values in
and paraview.vtk documentation for the list of available
the list. The Generic Cut filter takes a generic dataset
functions. This filter tries to make it easy for the user
as input. Use the Input menu to choose a data set to cut.
to write expressions by defining certain variables. The
The output of this filter is polygonal
filter tries to assign each array to a variable of the
data.
same name. If the name of the array is not a valid Python
variable, it has to be accessed through a dictionary
called arrays (i.e. arrays['array_name']).


{| class="PropertiesTable" border="1" cellpadding="5"
{| class="PropertiesTable" border="1" cellpadding="5"
Line 8,398: Line 8,774:
|'''Input''' (Input)
|'''Input''' (Input)
|
|
Set the input to the Generic Cut filter.
Set the input of the filter.
|
|


|
|
Accepts input of following types:
Accepts input of following types:
* vtkGenericDataSet
* vtkDataObject
|-
|-
|'''Cut Type''' (CutFunction)
|'''ArrayAssociation''' (ArrayAssociation)
|
|
Set the parameters to the implicit function used for
Select the attribute to use to popular array names from.
cutting.
|
|
 
2
|
|
The value can be one of the following:
The value(s) is an enumeration of the following:
* Plane (implicit_functions)
* Point Data (0)
 
* Cell Data (1)
* Box (implicit_functions)
* Field Data (2)
 
* Row Data (6)
* Sphere (implicit_functions)
 
|-
|-
|'''InputBounds''' (InputBounds)
|'''Expression''' (Expression)
|
|
 
The Python expression evaluated during execution.
FieldData arrays are direclty available through their name. Set of
provided variables [input, t_value, t_steps, t_range, t_index,
FieldData, PointData, CellData] (i.e.: "Momentum: (%f, %f, %f)" %
(XMOM[t_index,0], YMOM[t_index,0], ZMOM[t_index,0]) )
|
|


Line 8,428: Line 8,805:


|-
|-
|'''Slice Offset Values''' (ContourValues)
|'''AnnotationValue''' (AnnotationValue)
|
|
The values in this property specify a list of current
Text that is used as annotation
offset values. This can be used to create multiple slices with
different centers. Each entry represents a new slice with its center
shifted by the offset value.
|
|


|
|
Determine the length of the dataset's diagonal.
The value must lie within -diagonal length to +diagonal length.




|}
|}


==Smooth==
==Python Calculator==


This filter smooths a polygonal surface by iteratively moving points toward their neighbors.
This filter evaluates a Python expressionThis filter
The Smooth filter operates on a polygonal data set by
uses Python to calculate an expression. It depends heavily
iteratively adjusting the position of the points using
on the numpy and paraview.vtk modules. To use the parallel
Laplacian smoothing. (Because this filter only adjusts
functions, mpi4py is also necessary. The expression is
point positions, the output data set is also polygonal.)
evaluated and the resulting scalar value or numpy array is
This results in better-shaped cells and more evenly
added to the output as an array. See numpy and
distributed points. The Convergence slider limits the
paraview.vtk documentation for the list of available
maximum motion of any point. It is expressed as a fraction
functions. This filter tries to make it easy for the user
of the length of the diagonal of the bounding box of the
to write expressions by defining certain variables. The
data set. If the maximum point motion during a smoothing
filter tries to assign each array to a variable of the
iteration is less than the Convergence value, the
same name. If the name of the array is not a valid Python
smoothing operation terminates.
variable, it has to be accessed through a dictionary
called arrays (i.e. arrays['array_name']). The points can
be accessed using the points variable.


{| class="PropertiesTable" border="1" cellpadding="5"
{| class="PropertiesTable" border="1" cellpadding="5"
Line 8,469: Line 8,842:
|'''Input''' (Input)
|'''Input''' (Input)
|
|
This property specifies the input to the Smooth
Set the input of the filter.
filter.
|
|


|
|
Accepts input of following types:
Accepts input of following types:
* vtkPolyData
* vtkDataSet
|-
|-
|'''Number of Iterations''' (NumberOfIterations)
|'''Expression''' (Expression)
|
|
This property sets the maximum number of smoothing
The Python expression evaluated during
iterations to perform. More iterations produce better
execution.
smoothing.
|
|
20
 
|
|


|-
|-
|'''Convergence''' (Convergence)
|'''ArrayAssociation''' (ArrayAssociation)
|
This property controls the association of the output
array as well as which arrays are defined as variables.
|
0
|
The value(s) is an enumeration of the following:
* Point Data (0)
* Cell Data (1)
|-
|'''ArrayName''' (ArrayName)
|
|
The value of this property limits the maximum motion of
The name of the output array.
any point. It is expressed as a fraction of the length of the diagonal
of the bounding box of the input dataset. If the maximum point motion
during a smoothing iteration is less than the value of this property,
the smoothing operation terminates.
|
|
0.0
result
|
|


|-
|'''CopyArrays''' (CopyArrays)
|
If this property is set to true, all the cell and point
arrays from first input are copied to the output.
|
1
|
Accepts boolean values (0 or 1).


|}
|}


==StreakLine==
==Quadric Clustering==


Trace Streak lines through time in a vector field.
This filter is the same filter used to generate level of detail for ParaView. It uses a structured grid of bins and merges all points contained in each bin.The Quadric
The Particle Trace filter generates pathlines in a vector
Clustering filter produces a reduced-resolution polygonal
field from a collection of seed points. The vector field
approximation of the input polygonal dataset. This filter
used is selected from the Vectors menu, so the input data
is the one used by ParaView for computing LODs. It uses
set is required to have point-centered vectors. The Seed
spatial binning to reduce the number of points in the data
portion of the interface allows you to select whether the
set; points that lie within the same spatial bin are
seed points for this integration lie in a point cloud or
collapsed into one representative point.
along a line. Depending on which is selected, the
appropriate 3D widget (point or line widget) is displayed
along with traditional user interface controls for
positioning the point cloud or line within the data set.
Instructions for using the 3D widgets and the
corresponding manual controls can be found in section 7.4.
This filter operates on any type of data set, provided it
has point-centered vectors. The output is polygonal data
containing polylines. This filter is available on the
Toolbar.


{| class="PropertiesTable" border="1" cellpadding="5"
{| class="PropertiesTable" border="1" cellpadding="5"
Line 8,531: Line 8,908:
|'''Input''' (Input)
|'''Input''' (Input)
|
|
Specify which is the Input of the StreamTracer
This property specifies the input to the Quadric
filter.
Clustering filter.
|
|


|
|
Accepts input of following types:
Accepts input of following types:
* vtkDataObject
* vtkPolyData
The dataset much contain a field array (point)
|-
 
|'''Number of Dimensions''' (NumberOfDivisions)
with 3 component(s).
|
This property specifies the number of bins along the X,
Y, and Z axes of the data set.
|
50 50 50
|


|-
|-
|'''Seed Source''' (Source)
|'''UseInputPoints''' (UseInputPoints)
|
|
Specify the seed dataset. Typically fron where the
If the value of this property is set to 1, the
vector field integration should begin. Usually a point/radius or a line
representative point for each bin is selected from one of the input
with a given resolution.
points that lies in that bin; the input point that produces the least
error is chosen. If the value of this property is 0, the location of
the representative point is calculated to produce the least error
possible for that bin, but the point will most likely not be one of the
input points.
|
|
 
1
|
|
Accepts input of following types:
Accepts boolean values (0 or 1).
* vtkDataSet
|-
|-
|'''TerminationTime''' (TerminationTime)
|'''UseFeatureEdges''' (UseFeatureEdges)
|
|
Setting TerminationTime to a positive value will cause
If this property is set to 1, feature edge quadrics will
particles to terminate when the time is reached. The units of time
be used to maintain the boundary edges along processor
should be consistent with the primary time variable.
divisions.
|
|
0.0
0
|
|
 
Accepts boolean values (0 or 1).
|-
|-
|'''TimestepValues''' (TimestepValues)
|'''UseFeaturePoints''' (UseFeaturePoints)
|
|
 
If this property is set to 1, feature point quadrics
will be used to maintain the boundary points along processor
divisions.
|
|
 
0
|
|
 
Accepts boolean values (0 or 1).
|-
|-
|'''ForceReinjectionEveryNSteps''' (ForceReinjectionEveryNSteps)
|'''CopyCellData''' (CopyCellData)
|
|
When animating particles, it is nice to inject new ones
If this property is set to 1, the cell data from the
every Nth step to produce a continuous flow. Setting
input will be copied to the output.
ForceReinjectionEveryNSteps to a non zero value will cause the particle
source to reinject particles every Nth step even if it is otherwise
unchanged. Note that if the particle source is also animated, this flag
will be redundant as the particles will be reinjected whenever the
source changes anyway
|
|
1
1
|
|
 
Accepts boolean values (0 or 1).
|-
|-
|'''SelectInputVectors''' (SelectInputVectors)
|'''UseInternalTriangles''' (UseInternalTriangles)
|
|
Specify which vector array should be used for the
If this property is set to 1, triangles completely
integration through that filter.
contained in a spatial bin will be included in the computation of the
|
bin's quadrics. When this property is set to 0, the filters operates
 
faster, but the resulting surface may not be as
|
well-behaved.
An array of vectors is required.
|-
|'''ComputeVorticity''' (ComputeVorticity)
|
Compute vorticity and angular rotation of particles as
they progress
|
1
|
Accepts boolean values (0 or 1).
|-
|'''DisableResetCache''' (DisableResetCache)
|
Prevents cache from getting reset so that new computation
always start from previous results.
|
|
0
0
Line 8,615: Line 8,982:
|}
|}


==Stream Tracer==
==Random Attributes==
 
This filter creates a new random attribute array and sets it as the default array.
The Random Attributes filter creates random attributes
including scalars and vectors. These attributes can be
generated as point data or cell data. The generation of each
component is normalized between a user-specified minimum and
maximum value.
 
This filter provides that capability to specify the data type
of the attributes and the range for each of the components.


Integrate streamlines in a vector field.The
Stream Tracer filter generates streamlines in a vector
field from a collection of seed points. Production of
streamlines terminates if a streamline crosses the
exterior boundary of the input dataset. Other reasons for
termination are listed for the MaximumNumberOfSteps,
TerminalSpeed, and MaximumPropagation properties. This
filter operates on any type of dataset, provided it has
point-centered vectors. The output is polygonal data
containing polylines.


{| class="PropertiesTable" border="1" cellpadding="5"
{| class="PropertiesTable" border="1" cellpadding="5"
Line 8,638: Line 9,005:
|'''Input''' (Input)
|'''Input''' (Input)
|
|
This property specifies the input to the Stream Tracer
This property specifies the input to the Random Scalars
filter.
filter.
|
|
Line 8,645: Line 9,012:
Accepts input of following types:
Accepts input of following types:
* vtkDataSet
* vtkDataSet
The dataset much contain a field array (any)
|-
|'''DataType''' (DataType)
|


with 3 component(s).
Specify the type of array to create (all components of this
array are of this type). This holds true for all arrays that
are created.


|
3
|
The value(s) is an enumeration of the following:
* Bit (1)
* Char (2)
* UnsignedChar (3)
* Short (4)
* UnsignedShort (5)
* Int (6)
* UnsignedInt (7)
* Long (8)
* UnsignedLong (9)
* Float (10)
* Double (11)
|-
|-
|'''Vectors''' (SelectInputVectors)
|'''ComponentRange''' (ComponentRange)
|
Set the range values (minimum and maximum) for
each component. This applies to all data that is
generated.
|
|
This property contains the name of the vector array from
0 255
which to generate streamlines.
|
|


|
An array of vectors is required.
|-
|-
|'''InterpolatorType''' (InterpolatorType)
|'''AttributesConstantPerBlock''' (AttributesConstantPerBlock)
|
|
This property determines which interpolator to use for
Indicate that the generated attributes are
evaluating the velocity vector field. The first is faster though the
constant within a block. This can be used to highlight
second is more robust in locating cells during streamline
blocks in a composite dataset.
integration.
|
|
0
0
|
|
The value(s) is an enumeration of the following:
Accepts boolean values (0 or 1).
* Interpolator with Point Locator (0)
* Interpolator with Cell Locator (1)
|-
|-
|'''IntegrationDirection''' (IntegrationDirection)
|'''GeneratePointScalars''' (GeneratePointScalars)
|
|
This property determines in which direction(s) a
Indicate that point scalars are to be
streamline is generated.
generated.
|
|
2
0
|
|
The value(s) is an enumeration of the following:
Accepts boolean values (0 or 1).
* FORWARD (0)
* BACKWARD (1)
* BOTH (2)
|-
|-
|'''IntegratorType''' (IntegratorType)
|'''GeneratePointVectors''' (GeneratePointVectors)
|
|
This property determines which integrator (with
Indicate that point vectors are to be
increasing accuracy) to use for creating streamlines.
generated.
|
|
2
0
|
|
The value(s) is an enumeration of the following:
Accepts boolean values (0 or 1).
* Runge-Kutta 2 (0)
* Runge-Kutta 4 (1)
* Runge-Kutta 4-5 (2)
|-
|-
|'''Integration Step Unit''' (IntegrationStepUnit)
|'''GenerateCellScalars''' (GenerateCellScalars)
|
|
This property specifies the unit for
Indicate that point scalars are to be
Minimum/Initial/Maximum integration step size. The Length unit refers
generated.
to the arc length that a particle travels/advects within a single step.
The Cell Length unit represents the step size as a number of
cells.
|
|
2
0
|
|
The value(s) is an enumeration of the following:
Accepts boolean values (0 or 1).
* Length (1)
* Cell Length (2)
|-
|-
|'''Initial Step Length''' (InitialIntegrationStep)
|'''GenerateCellVectors''' (GenerateCellVectors)
|
|
This property specifies the initial integration step
Indicate that point vectors are to be
size. For non-adaptive integrators (Runge-Kutta 2 and Runge-Kutta 4),
generated.
it is fixed (always equal to this initial value) throughout the
integration. For an adaptive integrator (Runge-Kutta 4-5), the actual
step size varies such that the numerical error is less than a specified
threshold.
|
|
0.2
1
|
|
Accepts boolean values (0 or 1).
|}
==Random Vectors==


This filter creates a new 3-component point data array and sets it as the default vector array. It uses a random number generator to create values.The Random
Vectors filter generates a point-centered array of random
vectors. It uses a random number generator to determine
the components of the vectors. This filter operates on any
type of data set, and the output data set will be of the
same type as the input.
{| class="PropertiesTable" border="1" cellpadding="5"
|-
|-
|'''Minimum Step Length''' (MinimumIntegrationStep)
| '''Property'''
|
| '''Description'''
When using the Runge-Kutta 4-5 ingrator, this property
| '''Default Value(s)'''
specifies the minimum integration step size.
| '''Restrictions'''
|
0.01
|


|-
|-
|'''Maximum Step Length''' (MaximumIntegrationStep)
|'''Input''' (Input)
|
|
When using the Runge-Kutta 4-5 ingrator, this property
This property specifies the input to the Random Vectors
specifies the maximum integration step size.
filter.
|
|
0.5
 
|
|
 
Accepts input of following types:
* vtkDataSet
|-
|-
|'''Maximum Steps''' (MaximumNumberOfSteps)
|'''MinimumSpeed''' (MinimumSpeed)
|
|
This property specifies the maximum number of steps,
This property specifies the minimum length of the random
beyond which streamline integration is terminated.
point vectors generated.
|
|
2000
0
|
|


|-
|-
|'''Maximum Streamline Length''' (MaximumPropagation)
|'''MaximumSpeed''' (MaximumSpeed)
|
|
This property specifies the maximum streamline length
This property specifies the maximum length of the random
(i.e., physical arc length), beyond which line integration is
point vectors generated.
terminated.
|
|
1.0
1
|
|


The value must be less than the largest dimension of the
dataset multiplied by a scale factor of
1.0.


|}
==Rectilinear Data to Point Set==
Converts a rectilinear grid to an equivalend structured gridThe Rectilinear Grid to Point Set
filter takes an rectilinear grid object and outputs an
equivalent Structured Grid (which is a type of point set). This
brings the data to a broader category of data storage but only
adds a small amount of overhead. This filter can be helpful in
applying filters that expect or manipulate point
coordinates.
{| class="PropertiesTable" border="1" cellpadding="5"
|-
|-
|'''Terminal Speed''' (TerminalSpeed)
| '''Property'''
|
| '''Description'''
This property specifies the terminal speed, below which
| '''Default Value(s)'''
particle advection/integration is terminated.
| '''Restrictions'''
|
0.000000000001
|


|-
|-
|'''MaximumError''' (MaximumError)
|'''Input''' (Input)
|
|
This property specifies the maximum error (for
 
Runge-Kutta 4-5) tolerated throughout streamline integration. The
Runge-Kutta 4-5 integrator tries to adjust the step size such that the
estimated error is less than this threshold.
|
|
0.000001
 
|
|
Accepts input of following types:
* vtkRectilinearGrid
|}


|-
==Rectilinear Grid Connectivity==
|'''ComputeVorticity''' (ComputeVorticity)
 
|
Parallel fragments extraction and attributes integration on rectilinear grids.
Specify whether or not to compute
Extracts material fragments from multi-block vtkRectilinearGrid datasets
vorticity.
based on the selected volume fraction array(s) and a fraction isovalue
and integrates the associated attributes.
 
{| class="PropertiesTable" border="1" cellpadding="5"
|-
| '''Property'''
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''
 
|-
|'''Input''' (Input)
|
This property specifies the input of the
filter.
|
 
|
Accepts input of following types:
* vtkRectilinearGrid
* vtkCompositeDataSet
The dataset must contain a field array (cell)
 
with 1 component(s).
 
|-
|'''Double Volume Arrays''' (AddDoubleVolumeArrayName)
|
This property specifies the name(s) of the volume
fraction array(s) for generating parts.
|
|
1
 
|
|
Accepts boolean values (0 or 1).
An array of scalars is required.
|-
|-
|'''Seed Type''' (Source)
|'''Float Volume Arrays''' (AddFloatVolumeArrayName)
|
|
The value of this property determines how the seeds for
This property specifies the name(s) of the volume
the streamlines will be generated.
fraction array(s) for generating parts.
|
|


|
|
The value can be one of the following:
An array of scalars is required.
* PointSource (extended_sources)
|-
|'''Unsigned Character Volume Arrays''' (AddUnsignedCharVolumeArrayName)
|
This property specifies the name(s) of the volume
fraction array(s) for generating parts.
|


* HighResLineSource (extended_sources)
|
An array of scalars is required.
|-
|'''Volume Fraction Value''' (VolumeFractionSurfaceValue)
|
The value of this property is the volume fraction value
for the surface.
|
0.1
|




|}
|}


==Stream Tracer For Generic Datasets==
==RectilinearGridGeometryFilter==


Integrate streamlines in a vector field.The
Extracts geometry for a rectilinear grid. Output is a polydata dataset.
Generic Stream Tracer filter generates streamlines in a
RectilinearGridGeometryFilter is a filter that extracts
vector field from a collection of seed points. The vector
geometry from a rectilinear grid. By specifying
field used is selected from the Vectors menu, so the input
appropriate i-j-k indices, it is possible to extract a
data set is required to have point-centered vectors. The
point, a curve, a surface, or a "volume". The volume is
Seed portion of the interface allows you to select whether
actually a (n x m x o) region of points. The extent
the seed points for this integration lie in a point cloud
specification is zero-offset. That is, the first k-plane
or along a line. Depending on which is selected, the
in a 50x50x50 rectilinear grid is given by (0,49, 0,49,
appropriate 3D widget (point or line widget) is displayed
0,0).
along with traditional user interface controls for
positioning the point cloud or line within the data set.
Instructions for using the 3D widgets and the
corresponding manual controls can be found in section 7.4.
The Max. Propagation entry box allows you to specify the
maximum length of the streamlines. From the Max.
Propagation menu, you can select the units to be either
Time (the time a particle would travel with steady flow)
or Length (in the data set's spatial coordinates). The
Init. Step Len. menu and entry specify the initial step
size for integration. (For non-adaptive integrators,
Runge-Kutta 2 and 4, the initial step size is used
throughout the integration.) The menu allows you to
specify the units. Time and Length have the same meaning
as for Max. Propagation. Cell Length specifies the step
length as a number of cells. The Integration Direction
menu determines in which direction(s) the stream trace
will be generated: FORWARD, BACKWARD, or BOTH. The
Integrator Type section of the interface determines which
calculation to use for integration: Runge-Kutta 2,
Runge-Kutta 4, or Runge-Kutta 4-5. If Runge-Kutta 4-5 is
selected, controls are displayed for specifying the
minimum and maximum step length and the maximum error. The
controls for specifying Min. Step Len. and Max. Step Len.
are the same as those for Init. Step Len. The Runge-Kutta
4-5 integrator tries to choose the step size so that the
estimated error is less than the value of the Maximum
Error entry. If the integration takes more than Max. Steps
to complete, if the speed goes below Term. Speed, if Max.
Propagation is reached, or if a boundary of the input data
set is crossed, integration terminates. This filter
operates on any type of data set, provided it has
point-centered vectors. The output is polygonal data
containing polylines.


{| class="PropertiesTable" border="1" cellpadding="5"
{| class="PropertiesTable" border="1" cellpadding="5"
Line 8,864: Line 9,260:
|'''Input''' (Input)
|'''Input''' (Input)
|
|
Set the input to the Generic Stream Tracer
Set the input to the Rectilinear Grid Geometry
filter.
filter.
|
|
Line 8,870: Line 9,266:
|
|
Accepts input of following types:
Accepts input of following types:
* vtkGenericDataSet
* vtkDataSet
The dataset much contain a field array (point)
 
|}
 
==ReductionFilter==
 


with 3 component(s).


{| class="PropertiesTable" border="1" cellpadding="5"
|-
|-
|'''Seed Type''' (Source)
| '''Property'''
|
| '''Description'''
The value of this property determines how the seeds for
| '''Default Value(s)'''
the streamlines will be generated.
| '''Restrictions'''
 
|-
|'''Input''' (Input)
|
Set the input to the Reduction filter.
|
|


|
|
The value can be one of the following:
* PointSource (extended_sources)
* HighResLineSource (extended_sources)


|-
|-
|'''Vectors''' (SelectInputVectors)
|'''PreGatherHelperName''' (PreGatherHelperName)
|
|
This property contains the name of the vector array from
Set the algorithm that runs on each node in
which to generate streamlines.
parallel.
|
|


|
|
An array of vectors is required.
 
|-
|-
|'''MaximumPropagation''' (MaximumPropagation)
|'''PostGatherHelperName''' (PostGatherHelperName)
|
|
Specify the maximum streamline length.
Set the algorithm that takes multiple inputs and
produces a single reduced output.
|
|
1.0
 
|
|
The value must be less than the largest dimension of the
dataset multiplied by a scale factor of
1.0.


|-
|-
|'''InitialIntegrationStep''' (InitialIntegrationStep)
|'''PostGatherHelper''' (PostGatherHelper)
|
|
Specify the initial integration step.
 
|
|
0.5
 
|
|


|-
|-
|'''IntegrationDirection''' (IntegrationDirection)
|'''PreGatherHelper''' (PreGatherHelper)
|
|
This property determines in which direction(s) a
 
streamline is generated.
|
|
2
 
|
|
The value(s) is an enumeration of the following:
 
* FORWARD (0)
* BACKWARD (1)
* BOTH (2)
|-
|-
|'''IntegratorType''' (IntegratorType)
|'''PassThrough''' (PassThrough)
|
|
This property determines which integrator (with
If set to a non-negative value, then produce results
increasing accuracy) to use for creating streamlines.
using only the node Id specified.
|
|
2
-1
|
|
The value(s) is an enumeration of the following:
 
* Runge-Kutta 2 (0)
* Runge-Kutta 4 (1)
* Runge-Kutta 4-5 (2)
|-
|-
|'''MaximumError''' (MaximumError)
|'''GenerateProcessIds''' (GenerateProcessIds)
|
|
Set the maximum error allowed in the integration. The
If true, the filter will generate vtkOriginalProcessIds
meaning of this value depends on the integrator chosen.
arrays indicating the process id on which the cell/point was
generated.
|
|
0.000001
0
|
|
Accepts boolean values (0 or 1).
|}
==Reflect==
This filter takes the union of the input and its reflection over an axis-aligned plane.The
Reflect filter reflects the input dataset across the
specified plane. This filter operates on any type of data
set and produces an unstructured grid
output.
{| class="PropertiesTable" border="1" cellpadding="5"
|-
| '''Property'''
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''


|-
|-
|'''MinimumIntegrationStep''' (MinimumIntegrationStep)
|'''Input''' (Input)
|
|
Specify the minimum integration step.
This property specifies the input to the Reflect
filter.
|
|
0.01
 
|
|
 
Accepts input of following types:
* vtkDataSet
|-
|-
|'''IntegrationStepUnit''' (IntegrationStepUnit)
|'''Plane''' (Plane)
|
|
Choose the unit to use for the integration
The value of this property determines which plane to
step.
reflect across. If the value is X, Y, or Z, the value of the Center
property determines where the plane is placed along the specified axis.
The other six options (X Min, X Max, etc.) place the reflection plane
at the specified face of the bounding box of the input
dataset.
|
|
2
0
|
|
The value(s) is an enumeration of the following:
The value(s) is an enumeration of the following:
* Time (0)
* X Min (0)
* Length (1)
* Y Min (1)
* Cell Length (2)
* Z Min (2)
* X Max (3)
* Y Max (4)
* Z Max (5)
* X (6)
* Y (7)
* Z (8)
|-
|-
|'''MaximumIntegrationStep''' (MaximumIntegrationStep)
|'''Center''' (Center)
|
|
Specify the maximum integration step.
If the value of the Plane property is X, Y, or Z, then
the value of this property specifies the center of the reflection
plane.
|
|
0.01
0.0
|
|


|-
|-
|'''MaximumNumberOfSteps''' (MaximumNumberOfSteps)
|'''CopyInput''' (CopyInput)
|
|
Specify the maximum number of steps used in the
If this property is set to 1, the output will contain
integration.
the union of the input dataset and its reflection. Otherwise the output
will contain only the reflection of the input data.
|
|
2000
1
|
|
 
Accepts boolean values (0 or 1).
|-
|'''TerminalSpeed''' (TerminalSpeed)
|
If at any point the speed is below this value, the
integration is terminated.
|
0.000000000001
|
 


|}
|}


==Stream Tracer With Custom Source==
==Resample AMR==


Integrate streamlines in a vector field.The
Converts AMR data to a uniform gridThis
Stream Tracer filter generates streamlines in a vector
filter allows the user to specify a Region of Interest(ROI)
field from a collection of seed points. Production of
within the AMR data-set and extract it as a uniform
streamlines terminates if a streamline crosses the
grid.
exterior boundary of the input dataset. Other reasons for
termination are listed for the MaximumNumberOfSteps,
TerminalSpeed, and MaximumPropagation properties. This
filter operates on any type of dataset, provided it has
point-centered vectors. The output is polygonal data
containing polylines. This filter takes a Source input
that provides the seed points.


{| class="PropertiesTable" border="1" cellpadding="5"
{| class="PropertiesTable" border="1" cellpadding="5"
Line 9,023: Line 9,432:
|'''Input''' (Input)
|'''Input''' (Input)
|
|
This property specifies the input to the Stream Tracer
This property specifies the input for this
filter.
filter.
|
|
Line 9,029: Line 9,438:
|
|
Accepts input of following types:
Accepts input of following types:
* vtkDataSet
* vtkOverlappingAMR
The dataset much contain a field array (point)
 
with 3 component(s).
 
|-
|-
|'''Vectors''' (SelectInputVectors)
|'''Demand-Driven Mode''' (Demand-Driven Mode)
|
|
This property contains the name of the vector array from
This property specifies whether the resampling filter
which to generate streamlines.
will operate in demand-driven mode or not.
|
|
 
1
|
|
An array of vectors is required.
Accepts boolean values (0 or 1).
|-
|-
|'''IntegrationDirection''' (IntegrationDirection)
|'''TransferToNodes''' (TransferToNodes)
|
|
This property determines in which direction(s) a
This property specifies whether the solution will be
streamline is generated.
transfered to the nodes of the extracted region or the
cells.
|
|
2
1
|
|
The value(s) is an enumeration of the following:
Accepts boolean values (0 or 1).
* FORWARD (0)
* BACKWARD (1)
* BOTH (2)
|-
|-
|'''IntegratorType''' (IntegratorType)
|'''NumberOfPartitions''' (NumberOfPartitions)
|
|
This property determines which integrator (with
Set the number of subdivisions for recursive coordinate
increasing accuracy) to use for creating streamlines.
bisection.
|
|
2
1
|
|
The value(s) is an enumeration of the following:
 
* Runge-Kutta 2 (0)
* Runge-Kutta 4 (1)
* Runge-Kutta 4-5 (2)
|-
|-
|'''Integration Step Unit''' (IntegrationStepUnit)
|'''Number of Samples''' (Number of Samples)
|
|
This property specifies the unit for
Sets the number of samples in each
Minimum/Initial/Maximum integration step size. The Length unit refers
dimension
to the arc length that a particle travels/advects within a single step.
The Cell Length unit represents the step size as a number of
cells.
|
|
2
10 10 10
|
The value(s) is an enumeration of the following:
* Length (1)
* Cell Length (2)
|-
|'''Initial Step Length''' (InitialIntegrationStep)
|
This property specifies the initial integration step
size. For non-adaptive integrators (Runge-Kutta 2 and Runge-Kutta 4),
it is fixed (always equal to this initial value) throughout the
integration. For an adaptive integrator (Runge-Kutta 4-5), the actual
step size varies such that the numerical error is less than a specified
threshold.
|
0.2
|
|


|-
|-
|'''Minimum Step Length''' (MinimumIntegrationStep)
|'''Min''' (Min)
|
|
When using the Runge-Kutta 4-5 ingrator, this property
This property sets the minimum 3-D coordinate location
specifies the minimum integration step size.
by which the particles will be filtered out.
|
|
0.01
0.0 0.0 0.0
|
|


|-
|-
|'''Maximum Step Length''' (MaximumIntegrationStep)
|'''Max''' (Max)
|
|
When using the Runge-Kutta 4-5 ingrator, this property
This property sets the minimum 3-D coordinate location
specifies the maximum integration step size.
by which the particles will be filtered out.
|
|
0.5
0.0 0.0 0.0
|
|


|-
|'''Maximum Steps''' (MaximumNumberOfSteps)
|
This property specifies the maximum number of steps,
beyond which streamline integration is terminated.
|
2000
|


|-
|}
|'''Maximum Streamline Length''' (MaximumPropagation)
 
|
==Resample With Dataset==
This property specifies the maximum streamline length
 
(i.e., physical arc length), beyond which line integration is
Sample data attributes at the points of a dataset.
terminated.
Probe is a filter that computes point attributes at
|
specified point positions. The filter has two inputs: the
1.0
Input and Source. The 'Source' geometric structure is passed
|
through the filter. The point attributes are computed at
the 'Source' point positions by interpolating into the
'Input' data. For example, we can compute data values on a plane
(plane specified as Source) from a volume (Input). The
cell data of the Input data is copied to the output based
on in which Input cell each Source point is. If an array
of the same name exists both in Input's point and cell
data, only the one from the point data is
probed.


The value must be less than the largest dimension of the
{| class="PropertiesTable" border="1" cellpadding="5"
dataset multiplied by a scale factor of
|-
1.0.
| '''Property'''
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''


|-
|-
|'''Terminal Speed''' (TerminalSpeed)
|'''Input''' (Input)
|
|
This property specifies the terminal speed, below which
This property specifies the dataset from which to obtain
particle advection/integration is terminated.
probe values. The data attributes come from this dataset.
|
|
0.000000000001
 
|
|
Accepts input of following types:
* vtkDataSet
* vtkCompositeDataSet
The dataset must contain a field array ()


|-
|-
|'''MaximumError''' (MaximumError)
|'''Source''' (Source)
|
|
This property specifies the maximum error (for
This property specifies the dataset whose geometry will
Runge-Kutta 4-5) tolerated throughout streamline integration. The
be used in determining positions to probe. The mesh comes from this
Runge-Kutta 4-5 integrator tries to adjust the step size such that the
dataset.
estimated error is less than this threshold.
|
|
0.000001
 
|
|
 
Accepts input of following types:
* vtkDataSet
|-
|-
|'''ComputeVorticity''' (ComputeVorticity)
|'''PassCellArrays''' (PassCellArrays)
|
|
Specify whether or not to compute
 
vorticity.
When set the input's cell data arrays are shallow copied to the output.
 
|
|
1
0
|
|
Accepts boolean values (0 or 1).
Accepts boolean values (0 or 1).
|-
|-
|'''Seed Source''' (Source)
|'''PassPointArrays''' (PassPointArrays)
|
 
When set the input's point data arrays are shallow copied to the output.
 
|
|
This property specifies the input used to obtain the
0
seed points.
|
|
 
Accepts boolean values (0 or 1).
|-
|'''PassFieldArrays''' (PassFieldArrays)
|
|


Set whether to pass the field-data arrays from the Input i.e. the input
providing the geometry to the output. On by default.


|}
|
1
|
Accepts boolean values (0 or 1).
|-
|'''ComputeTolerance''' (ComputeTolerance)
|


==Subdivide==
Set whether to compute the tolerance or to use a user provided
value. On by default.


This filter iteratively divide triangles into four smaller triangles. New points are placed linearly so the output surface matches the input surface.
The Subdivide filter iteratively divides each triangle in
the input dataset into 4 new triangles. Three new points
are added per triangle -- one at the midpoint of each
edge. This filter operates only on polygonal data
containing triangles, so run your polygonal data through
the Triangulate filter first if it is not composed of
triangles. The output of this filter is also
polygonal.
{| class="PropertiesTable" border="1" cellpadding="5"
|-
| '''Property'''
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''
|-
|'''Input''' (Input)
|
|
This parameter specifies the input to the Subdivide
1
filter.
|
|
 
Accepts boolean values (0 or 1).
|
Accepts input of following types:
* vtkPolyData
|-
|-
|'''Number of Subdivisions''' (NumberOfSubdivisions)
|'''Tolerance''' (Tolerance)
|
|
The value of this property specifies the number of
Set the tolernce to use for
subdivision iterations to perform.
vtkDataSet::FindCell
|
|
1
2.2204460492503131e-16
|
|


Line 9,217: Line 9,598:
|}
|}


==Surface Flow==
==Ribbon==


This filter integrates flow through a surface.
This filter generates ribbon surface from lines. It is useful for displaying streamlines.The Ribbon
The flow integration fitler integrates the dot product of
filter creates ribbons from the lines in the input data
a point flow vector field and surface normal. It computes
set. This filter is useful for visualizing streamlines.
the net flow across the 2D surface. It operates on any
Both the input and output of this filter are polygonal
type of dataset and produces an unstructured grid
data. The input data set must also have at least one
output.
point-centered vector array.


{| class="PropertiesTable" border="1" cellpadding="5"
{| class="PropertiesTable" border="1" cellpadding="5"
Line 9,236: Line 9,617:
|'''Input''' (Input)
|'''Input''' (Input)
|
|
This property specifies the input to the Surface Flow
This property specifies the input to the Ribbon
filter.
filter.
|
|
Line 9,242: Line 9,623:
|
|
Accepts input of following types:
Accepts input of following types:
* vtkDataSet
* vtkPolyData
The dataset much contain a field array (point)
The dataset must contain a field array (point)


with 3 component(s).
with 3 component(s).
The dataset must contain a field array (point)
with 1 component(s).


|-
|-
|'''SelectInputVectors''' (SelectInputVectors)
|'''Scalars''' (SelectInputScalars)
|
|
The value of this property specifies the name of the
The value of this property indicates the name of the
input vector array containing the flow vector field.
input scalar array used by this filter. The width of the ribbons will
be varied based on the values in the specified array if the value of
the Width property is 1.
|
|


|
An array of scalars is required.
|-
|'''Vectors''' (SelectInputVectors)
|
The value of this property indicates the name of the
input vector array used by this filter. If the UseDefaultNormal
property is set to 0, the normal vectors for the ribbons come from the
specified vector array.
|
1
|
|
An array of vectors is required.
An array of vectors is required.
|}
==Surface Vectors==
This filter constrains vectors to lie on a surface.
The Surface Vectors filter is used for 2D data sets. It
constrains vectors to lie in a surface by removing
components of the vectors normal to the local
surface.
{| class="PropertiesTable" border="1" cellpadding="5"
|-
|-
| '''Property'''
|'''Width''' (Width)
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''
 
|-
|'''Input''' (Input)
|
|
This property specifies the input to the Surface Vectors
If the VaryWidth property is set to 1, the value of this
filter.
property is the minimum ribbon width. If the VaryWidth property is set
to 0, the value of this property is half the width of the
ribbon.
|
|
 
1
|
|
Accepts input of following types:
* vtkDataSet
The dataset much contain a field array (point)


with 3 component(s).
The value must be less than the largest dimension of the
dataset multiplied by a scale factor of
0.01.


|-
|-
|'''SelectInputVectors''' (SelectInputVectors)
|'''Angle''' (Angle)
|
The value of this property specifies the offset angle
(in degrees) of the ribbon from the line normal.
|
|
This property specifies the name of the input vector
0
array to process.
|
|


|
An array of vectors is required.
|-
|-
|'''ConstraintMode''' (ConstraintMode)
|'''UseDefaultNormal''' (UseDefaultNormal)
|
|
This property specifies whether the vectors will be
If this property is set to 0, and the input contains no
parallel or perpendicular to the surface. If the value is set to
vector array, then default ribbon normals will be generated
PerpendicularScale (2), then the output will contain a scalar array
(DefaultNormal property); if a vector array has been set
with the dot product of the surface normal and the vector at each
(SelectInputVectors property), the ribbon normals will be set from the
point.
specified array. If this property is set to 1, the default normal
(DefaultNormal property) will be used, regardless of whether the
SelectInputVectors property has been set.
|
|
0
0
|
|
The value(s) is an enumeration of the following:
Accepts boolean values (0 or 1).
* Parallel (0)
* Perpendicular (1)
* PerpendicularScale (2)
 
|}
 
==Table FFT==
 
Performs the Fast Fourier Transform on the columns of a
table.
 
{| class="PropertiesTable" border="1" cellpadding="5"
|-
|-
| '''Property'''
|'''DefaultNormal''' (DefaultNormal)
| '''Description'''
|
| '''Default Value(s)'''
The value of this property specifies the normal to use
| '''Restrictions'''
when the UseDefaultNormal property is set to 1 or the input contains no
vector array (SelectInputVectors property).
|
0 0 1
|


|-
|-
|'''Input''' (Input)
|'''VaryWidth''' (VaryWidth)
|
|
This property specifies the input of the
If this property is set to 1, the ribbon width will be
filter.
scaled according to the scalar array specified in the
SelectInputScalars property. Toggle the variation of ribbon width with
scalar value.
|
|
 
0
|
|
Accepts input of following types:
Accepts boolean values (0 or 1).
* vtkTable
The dataset much contain a field array (row)
 
with 1 component(s).
 


|}
|}


==Table To Points==
==Rotational Extrusion==


Converts table to set of points.The
This filter generates a swept surface while translating the input along a circular path.
TableToPolyData filter converts a vtkTable to a set of
The Rotational Extrusion filter forms a surface by
points in a vtkPolyData. One must specifies the columns in
rotating the input about the Z axis. This filter is
the input table to use as the X, Y and Z coordinates for
intended to operate on 2D polygonal data. It produces
the points in the output.
polygonal output.


{| class="PropertiesTable" border="1" cellpadding="5"
{| class="PropertiesTable" border="1" cellpadding="5"
Line 9,362: Line 9,734:
|'''Input''' (Input)
|'''Input''' (Input)
|
|
This property specifies the input..
This property specifies the input to the Rotational
Extrusion filter.
|
|


|
|
Accepts input of following types:
Accepts input of following types:
* vtkTable
* vtkPolyData
The dataset much contain a field array (row)
|-
 
|'''Resolution''' (Resolution)
with 1 component(s).
 
|-
|'''XColumn''' (XColumn)
|
|
This property specifies which data array is going to be
The value of this property controls the number of
used as the X coordinate in the generated polydata
intermediate node points used in performing the sweep (rotating from 0
dataset.
degrees to the value specified by the Angle property.
|
|
 
12
|
|


|-
|-
|'''YColumn''' (YColumn)
|'''Capping''' (Capping)
|
|
This property specifies which data array is going to be
If this property is set to 1, the open ends of the swept
used as the Y coordinate in the generated polydata
surface will be capped with a copy of the input dataset. This works
dataset.
property if the input is a 2D surface composed of filled polygons. If
the input dataset is a closed solid (e.g., a sphere), then either two
copies of the dataset will be drawn or no surface will be drawn. No
surface is drawn if either this property is set to 0 or if the two
surfaces would occupy exactly the same 3D space (i.e., the Angle
property's value is a multiple of 360, and the values of the
Translation and DeltaRadius properties are 0).
|
|
 
1
|
|
 
Accepts boolean values (0 or 1).
|-
|-
|'''ZColumn''' (ZColumn)
|'''Angle''' (Angle)
|
|
This property specifies which data array is going to be
This property specifies the angle of rotation in
used as the Z coordinate in the generated polydata
degrees. The surface is swept from 0 to the value of this
dataset.
property.
|
|
 
360
|
|


|-
|-
|'''2D Points''' (Create2DPoints)
|'''Translation''' (Translation)
|
|
Specify whether the points of the polydata are 3D or 2D.
The value of this property specifies the total amount of
If this is set to true then the Z Column will be ignored and the z
translation along the Z axis during the sweep process. Specifying a
value of each point on the polydata will be set to 0. By default this
non-zero value for this property allows you to create a corkscrew
will be off.
(value of DeltaRadius > 0) or spring effect.
|
|
0
0
|
|
Accepts boolean values (0 or 1).
 
|-
|-
|'''KeepAllDataArrays''' (KeepAllDataArrays)
|'''DeltaRadius''' (DeltaRadius)
|
|
Allow user to keep columns specified as X,Y,Z as Data
The value of this property specifies the change in
arrays. By default this will be off.
radius during the sweep process.
|
|
0
0
|
|
Accepts boolean values (0 or 1).
 


|}
|}


==Table To Structured Grid==
==Scatter Plot==


Converts to table to structured grid.The
Creates a scatter plot from a dataset.This
TableToStructuredGrid filter converts a vtkTable to a
filter creates a scatter plot from a
vtkStructuredGrid. One must specifies the columns in the
dataset.
input table to use as the X, Y and Z coordinates for the
points in the output, and the whole
extent.


{| class="PropertiesTable" border="1" cellpadding="5"
{| class="PropertiesTable" border="1" cellpadding="5"
Line 9,444: Line 9,816:
|'''Input''' (Input)
|'''Input''' (Input)
|
|
This property specifies the input..
This property specifies the input to the
filter.
|
|


|
|
Accepts input of following types:
Accepts input of following types:
* vtkTable
* vtkDataSet
The dataset much contain a field array (row)


with 1 component(s).
|}


|-
==Shrink==
|'''WholeExtent''' (WholeExtent)
|


|
This filter shrinks each input cell so they pull away from their neighbors.The Shrink filter
0 0 0 0 0 0
causes the individual cells of a dataset to break apart
|
from each other by moving each cell's points toward the
centroid of the cell. (The centroid of a cell is the
average position of its points.) This filter operates on
any type of dataset and produces unstructured grid
output.


{| class="PropertiesTable" border="1" cellpadding="5"
|-
|-
|'''XColumn''' (XColumn)
| '''Property'''
|
| '''Description'''
This property specifies which data array is going to be
| '''Default Value(s)'''
used as the X coordinate in the generated polydata
| '''Restrictions'''
dataset.
|
 
|


|-
|-
|'''YColumn''' (YColumn)
|'''Input''' (Input)
|
|
This property specifies which data array is going to be
This property specifies the input to the Shrink
used as the Y coordinate in the generated polydata
filter.
dataset.
|
|


|
|
 
Accepts input of following types:
* vtkDataSet
|-
|-
|'''ZColumn''' (ZColumn)
|'''ShrinkFactor''' (ShrinkFactor)
|
|
This property specifies which data array is going to be
The value of this property determines how far the points
used as the Z coordinate in the generated polydata
will move. A value of 0 positions the points at the centroid of the
dataset.
cell; a value of 1 leaves them at their original
positions.
|
|
 
0.5
|
|


Line 9,495: Line 9,867:
|}
|}


==Temporal Cache==
==Slice==


Saves a copy of the data set for a fixed number of time steps.The Temporal Cache
This filter slices a data set with a plane. Slicing is similar to a contour. It creates surfaces from volumes and lines from surfaces.This filter
can be used to save multiple copies of a data set at
extracts the portion of the input dataset that lies along
different time steps to prevent thrashing in the pipeline
the specified plane. The Slice filter takes any type of
caused by downstream filters that adjust the requested
dataset as input. The output of this filter is polygonal
time step. For example, assume that there is a downstream
data.
Temporal Interpolator filter. This filter will (usually)
request two time steps from the upstream filters, which in
turn (usually) causes the upstream filters to run twice,
once for each time step. The next time the interpolator
requests the same two time steps, they might force the
upstream filters to re-evaluate the same two time steps.
The Temporal Cache can keep copies of both of these time
steps and provide the requested data without having to run
upstream filters.


{| class="PropertiesTable" border="1" cellpadding="5"
{| class="PropertiesTable" border="1" cellpadding="5"
Line 9,522: Line 9,885:
|'''Input''' (Input)
|'''Input''' (Input)
|
|
This property specifies the input of the Temporal Cache
This property specifies the input to the Slice
filter.
filter.
|
|
Line 9,528: Line 9,891:
|
|
Accepts input of following types:
Accepts input of following types:
* vtkDataObject
* vtkDataSet
|-
|-
|'''CacheSize''' (CacheSize)
|'''Slice Type''' (CutFunction)
|
|
The cache size determines the number of time steps that
This property sets the parameters of the slice
can be cached at one time. The maximum number is 10. The minimum is 2
function.
(since it makes little sense to cache less than that).
|
2
|
|


|-
|'''TimestepValues''' (TimestepValues)
|
|
The value can be one of the following:
* Plane (implicit_functions)


|
* Box (implicit_functions)


|
* Sphere (implicit_functions)


* Cylinder (implicit_functions)


|}
==Temporal Interpolator==
Interpolate between time steps.The Temporal
Interpolator converts data that is defined at discrete
time steps to one that is defined over a continuum of time
by linearly interpolating the data's field data between
two adjacent time steps. The interpolated values are a
simple approximation and should not be interpreted as
anything more. The Temporal Interpolator assumes that the
topology between adjacent time steps does not
change.
{| class="PropertiesTable" border="1" cellpadding="5"
|-
|-
| '''Property'''
|'''InputBounds''' (InputBounds)
| '''Description'''
|
| '''Default Value(s)'''
| '''Restrictions'''


|-
|'''Input''' (Input)
|
|
This property specifies the input of the Temporal
 
Interpolator.
|
|


|-
|'''Crinkle slice''' (PreserveInputCells)
|
|
Accepts input of following types:
This parameter controls whether to extract the entire
* vtkDataObject
cells that are sliced by the region or just extract a triangulated
|-
surface of that region.
|'''DiscreteTimeStepInterval''' (DiscreteTimeStepInterval)
|
|
If Discrete Time Step Interval is set to 0, then the
0
Temporal Interpolator will provide a continuous region of time on its
output. If set to anything else, then the output will define a finite
set of time points on its output, each spaced by the Discrete Time Step
Interval. The output will have (time range)/(discrete time step
interval) time steps. (Note that the time range is defined by the time
range of the data of the input filter, which may be different from
other pipeline objects or the range defined in the animation
inspector.) This is a useful option to use if you have a dataset with
one missing time step and wish to 'file-in' the missing data with an
interpolated value from the steps on either side.
|
|
0.0
Accepts boolean values (0 or 1).
|
 
|-
|-
|'''TimestepValues''' (TimestepValues)
|'''Triangulate the slice''' (Triangulate the slice)
|
|
 
This parameter controls whether to produce triangles in the output.
|
|
 
1
|
|
 
Accepts boolean values (0 or 1).
|-
|-
|'''TimeRange''' (TimeRange)
|'''Slice Offset Values''' (ContourValues)
|
The values in this property specify a list of current
offset values. This can be used to create multiple slices with
different centers. Each entry represents a new slice with its center
shifted by the offset value.
|
|


|
|


|
Determine the length of the dataset's diagonal.
The value must lie within -diagonal length to +diagonal length.




|}
|}


==Temporal Shift Scale==
==Slice (demand-driven-composite)==


Shift and scale time values.The Temporal
This filter slices a data set with a plane. Slicing is similar to a contour. It creates surfaces from volumes and lines from surfaces.This filter
Shift Scale filter linearly transforms the time values of
extracts the portion of the input dataset that lies along
a pipeline object by applying a shift and then scale.
the specified plane. The Slice filter takes any type of
Given a data at time t on the input, it will be
dataset as input. The output of this filter is polygonal
transformed to time t*Shift + Scale on the output.
data.
Inversely, if this filter has a request for time t, it
will request time (t-Shift)/Scale on its
input.


{| class="PropertiesTable" border="1" cellpadding="5"
{| class="PropertiesTable" border="1" cellpadding="5"
Line 9,637: Line 9,970:
|'''Input''' (Input)
|'''Input''' (Input)
|
|
The input to the Temporal Shift Scale
This property specifies the input to the Slice
filter.
filter.
|
|
Line 9,645: Line 9,978:
* vtkDataObject
* vtkDataObject
|-
|-
|'''PreShift''' (PreShift)
|'''Slice Type''' (CutFunction)
|
|
Apply a translation to the data before scaling. To
This property sets the parameters of the slice
convert T{5,100} to T{0,1} use Preshift=-5, Scale=1/95, PostShift=0 To
function.
convert T{5,105} to T{5,10} use Preshift=-5, Scale=5/100,
PostShift=5
|
|
0.0
 
|
|
The value can be one of the following:
* Plane (implicit_functions)
* Box (implicit_functions)
* Sphere (implicit_functions)


|-
|-
|'''PostShift''' (PostShift)
|'''InputBounds''' (InputBounds)
|
|
The amount of time the input is shifted.
 
|
|
0.0
 
|
|


|-
|-
|'''Scale''' (Scale)
|'''Slice Offset Values''' (ContourValues)
|
The values in this property specify a list of current
offset values. This can be used to create multiple slices with
different centers. Each entry represents a new slice with its center
shifted by the offset value.
|
 
|
|
The factor by which the input time is
 
scaled.
Determine the length of the dataset's diagonal.
The value must lie within -diagonal length to +diagonal length.
 
 
|}
 
==Slice AMR data==
 
Slices AMR DataThis filter slices AMR
data.
 
{| class="PropertiesTable" border="1" cellpadding="5"
|-
| '''Property'''
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''
 
|-
|'''Input''' (Input)
|
|
1.0
This property specifies the input for this
filter.
|
|


|
Accepts input of following types:
* vtkOverlappingAMR
|-
|-
|'''Periodic''' (Periodic)
|'''ForwardUpstream''' (ForwardUpstream)
|
|
If Periodic is true, requests for time will be wrapped
This property specifies whether or not requests will be
around so that the source appears to be a periodic time source. If data
propagated upstream.
exists for times {0,N-1}, setting periodic to true will cause time 0 to
be produced when time N, 2N, 2N etc is requested. This effectively
gives the source the ability to generate time data indefinitely in a
loop. When combined with Shift/Scale, the time becomes periodic in the
shifted and scaled time frame of reference. Note: Since the input time
may not start at zero, the wrapping of time from the end of one period
to the start of the next, will subtract the initial time - a source
with T{5..6} repeated periodicaly will have output time {5..6..7..8}
etc.
|
|
0
0
Line 9,691: Line 10,049:
Accepts boolean values (0 or 1).
Accepts boolean values (0 or 1).
|-
|-
|'''PeriodicEndCorrection''' (PeriodicEndCorrection)
|'''EnablePrefetching''' (EnablePrefetching)
|
|
If Periodic time is enabled, this flag determines if the
This property specifies whether or not requests
last time step is the same as the first. If PeriodicEndCorrection is
pre-fetching of blocks of the next level will be
true, then it is assumed that the input data goes from 0-1 (or whatever
enabled.
scaled/shifted actual time) and time 1 is the same as time 0 so that
steps will be 0,1,2,3...N,1,2,3...N,1,2,3 where step N is the same as 0
and step 0 is not repeated. When this flag is false the data is assumed
to be literal and output is of the form 0,1,2,3...N,0,1,2,3... By
default this flag is ON
|
|
1
0
|
|
Accepts boolean values (0 or 1).
Accepts boolean values (0 or 1).
|-
|-
|'''MaximumNumberOfPeriods''' (MaximumNumberOfPeriods)
|'''Level''' (Level)
|
Set maximum slice resolution.
|
0
|
 
|-
|'''OffSet''' (OffSet)
|
|
If Periodic time is enabled, this controls how many time
Set's the offset from the origin of the
periods time is reported for. A filter cannot output an infinite number
data-set
of time steps and therefore a finite number of periods is generated
when reporting time.
|
|
1.0
1.0
Line 9,717: Line 10,076:


|-
|-
|'''TimestepValues''' (TimestepValues)
|'''Normal''' (Normal)
|
|
 
This property sets the normal of the
slice.
|
|
 
0
|
|
The value(s) is an enumeration of the following:
* X-Normal (1)
* Y-Normal (2)
* Z-Normal (3)


|}


|}
==Slice Along PolyLine==


==Temporal Snap-to-Time-Step==
Slice along the surface defined by sweeping a polyline parallel to the z-axis.
The Slice Along PolyLine filter is similar to the Slice Filter except that it slices along a surface that
is defined by sweeping the input polyline parallel to the z-axis. Explained another way: take a laser
cutter and move it so that it hits every point on the input polyline while keeping it parallel
to the z-axis. The surface cut from the input dataset is the result.


Modifies the time range/steps of temporal data.
This file modifies the time range or time steps of the
data without changing the data itself. The data is not
resampled by this filter, only the information
accompanying the data is modified.


{| class="PropertiesTable" border="1" cellpadding="5"
{| class="PropertiesTable" border="1" cellpadding="5"
Line 9,743: Line 10,107:


|-
|-
|'''Input''' (Input)
|'''Dataset''' (Dataset)
|
|
This property specifies the input of the
 
filter.
Set the vtkDataObject to slice.
 
|
|


|
|
Accepts input of following types:
Accepts input of following types:
* vtkDataObject
* vtkDataSet
|-
|-
|'''SnapMode''' (SnapMode)
|'''PolyLine''' (PolyLine)
|
|
Determine which time step to snap to.
 
Set the polyline to slice along.
 
|
|
0
 
|
|
The value(s) is an enumeration of the following:
Accepts input of following types:
* Nearest (0)
* vtkPolyData
* NextBelowOrEqual (1)
* NextAboveOrEqual (2)
|-
|-
|'''TimestepValues''' (TimestepValues)
|'''Tolerance''' (Tolerance)
|
|
The threshold used internally to determine correspondence between the polyline
and the output slice. If the output has sections missing, increasing this
value may help.


|
|
 
10
|
|


Line 9,774: Line 10,143:
|}
|}


==Temporal Statistics==
==Slice Generic Dataset==


Loads in all time steps of a data set and computes some statistics about how each point and cell variable changes over time.Given an input
This filter cuts a data set with a plane or sphere. Cutting is similar to a contour. It creates surfaces from volumes and lines from surfaces.The
that changes over time, vtkTemporalStatistics looks at the
Generic Cut filter extracts the portion of the input data
data for each time step and computes some statistical
set that lies along the specified plane or sphere. From
information of how a point or cell variable changes over
the Cut Function menu, you can select whether cutting will
time. For example, vtkTemporalStatistics can compute the
be performed with a plane or a sphere. The appropriate 3D
average value of "pressure" over time of each point. Note
widget (plane widget or sphere widget) will be displayed.
that this filter will require the upstream filter to be
The parameters of the cut function can be specified
run on every time step that it reports that it can
interactively using the 3D widget or manually using the
compute. This may be a time consuming operation.
traditional user interface controls. Instructions for
vtkTemporalStatistics ignores the temporal spacing. Each
using these 3D widgets and their corresponding user
timestep will be weighted the same regardless of how long
interfaces are found in section 7.4. By default, the cut
of an interval it is to the next timestep. Thus, the
lies on the specified plane or sphere. Using the Cut
average statistic may be quite different from an
Offset Values portion of the interface, it is also
integration of the variable if the time spacing
possible to cut the data set at some offset from the
varies.
original cut function. The Cut Offset Values are in the
spatial units of the data set. To add a single offset,
select the value from the New Value slider in the Add
value portion of the interface and click the Add button,
or press Enter. To instead add several evenly spaced
offsets, use the controls in the Generate range of values
section. Select the number of offsets to generate using
the Number of Values slider. The Range slider controls the
interval in which to generate the offsets. Once the number
of values and range have been selected, click the Generate
button. The new offsets will be added to the Offset Values
list. To delete a value from the Cut Offset Values list,
select the value and click the Delete button. (If no value
is selected, the last value in the list will be removed.)
Clicking the Delete All button removes all the values in
the list. The Generic Cut filter takes a generic dataset
as input. Use the Input menu to choose a data set to cut.
The output of this filter is polygonal
data.


{| class="PropertiesTable" border="1" cellpadding="5"
{| class="PropertiesTable" border="1" cellpadding="5"
Line 9,802: Line 10,189:
|'''Input''' (Input)
|'''Input''' (Input)
|
|
Set the input to the Temporal Statistics
Set the input to the Generic Cut filter.
filter.
|
|


|
|
Accepts input of following types:
Accepts input of following types:
* vtkDataSet
* vtkGenericDataSet
|-
|-
|'''ComputeAverage''' (ComputeAverage)
|'''Cut Type''' (CutFunction)
|
|
Compute the average of each point and cell variable over
Set the parameters to the implicit function used for
time.
cutting.
|
|
1
 
|
|
Accepts boolean values (0 or 1).
The value can be one of the following:
* Plane (implicit_functions)
 
* Box (implicit_functions)
 
* Sphere (implicit_functions)
 
|-
|-
|'''ComputeMinimum''' (ComputeMinimum)
|'''InputBounds''' (InputBounds)
|
|
Compute the minimum of each point and cell variable over
 
time.
|
|
1
 
|
|
Accepts boolean values (0 or 1).
 
|-
|-
|'''ComputeMaximum''' (ComputeMaximum)
|'''Slice Offset Values''' (ContourValues)
|
|
Compute the maximum of each point and cell variable over
The values in this property specify a list of current
time.
offset values. This can be used to create multiple slices with
different centers. Each entry represents a new slice with its center
shifted by the offset value.
|
|
1
 
|
|
Accepts boolean values (0 or 1).
 
|-
Determine the length of the dataset's diagonal.
|'''ComputeStandardDeviation''' (ComputeStandardDeviation)
The value must lie within -diagonal length to +diagonal length.
|
 
Compute the standard deviation of each point and cell
variable over time.
|
1
|
Accepts boolean values (0 or 1).


|}
|}


==Tessellate==
==Smooth==


Tessellate nonlinear curves, surfaces, and volumes with lines, triangles, and tetrahedra.The Tessellate filter
This filter smooths a polygonal surface by iteratively moving points toward their neighbors.
tessellates cells with nonlinear geometry and/or scalar
The Smooth filter operates on a polygonal data set by
fields into a simplicial complex with linearly
iteratively adjusting the position of the points using
interpolated field values that more closely approximate
Laplacian smoothing. (Because this filter only adjusts
the original field. This is useful for datasets containing
point positions, the output data set is also polygonal.)
quadratic cells.
This results in better-shaped cells and more evenly
distributed points. The Convergence slider limits the
maximum motion of any point. It is expressed as a fraction
of the length of the diagonal of the bounding box of the
data set. If the maximum point motion during a smoothing
iteration is less than the Convergence value, the
smoothing operation terminates.


{| class="PropertiesTable" border="1" cellpadding="5"
{| class="PropertiesTable" border="1" cellpadding="5"
Line 9,867: Line 10,260:
|'''Input''' (Input)
|'''Input''' (Input)
|
|
This property specifies the input to the Tessellate
This property specifies the input to the Smooth
filter.
filter.
|
|
Line 9,874: Line 10,267:
Accepts input of following types:
Accepts input of following types:
* vtkPolyData
* vtkPolyData
* vtkDataSet
* vtkUnstructuredGrid
|-
|-
|'''OutputDimension''' (OutputDimension)
|'''Number of Iterations''' (NumberOfIterations)
|
|
The value of this property sets the maximum
This property sets the maximum number of smoothing
dimensionality of the output tessellation. When the value of this
iterations to perform. More iterations produce better
property is 3, 3D cells produce tetrahedra, 2D cells produce triangles,
smoothing.
and 1D cells produce line segments. When the value is 2, 3D cells will
have their boundaries tessellated with triangles. When the value is 1,
all cells except points produce line segments.
|
|
3
20
|
|


|-
|-
|'''ChordError''' (ChordError)
|'''Convergence''' (Convergence)
|
|
This property controls the maximum chord error allowed
The value of this property limits the maximum motion of
at any edge midpoint in the output tessellation. The chord error is
any point. It is expressed as a fraction of the length of the diagonal
measured as the distance between the midpoint of any output edge and
of the bounding box of the input dataset. If the maximum point motion
the original nonlinear geometry.
during a smoothing iteration is less than the value of this property,
the smoothing operation terminates.
|
|
1e-3
0.0
|
|


|-
|'''Field Error''' (FieldError2)
|
This proeprty controls the maximum field error allowed
at any edge midpoint in the output tessellation. The field error is
measured as the difference between a field value at the midpoint of an
output edge and the value of the corresponding field in the original
nonlinear geometry.
|


|
|}


|-
==StreakLine==
|'''Maximum Number of Subdivisions''' (MaximumNumberOfSubdivisions)
|
This property specifies the maximum number of times an
edge may be subdivided. Increasing this number allows further
refinement but can drastically increase the computational and storage
requirements, especially when the value of the OutputDimension property
is 3.
|
3
|


|-
Trace Streak lines through time in a vector field.
|'''MergePoints''' (MergePoints)
The Particle Trace filter generates pathlines in a vector
|
field from a collection of seed points. The vector field
If the value of this property is set to 1, coincident
used is selected from the Vectors menu, so the input data
vertices will be merged after tessellation has occurred. Only geometry
set is required to have point-centered vectors. The Seed
is considered during the merge and the first vertex encountered is the
portion of the interface allows you to select whether the
one whose point attributes will be used. Any discontinuities in point
seed points for this integration lie in a point cloud or
fields will be lost. On the other hand, many operations, such as
along a line. Depending on which is selected, the
streamline generation, require coincident vertices to be merged. Toggle
appropriate 3D widget (point or line widget) is displayed
whether to merge coincident vertices.
along with traditional user interface controls for
|
positioning the point cloud or line within the data set.
1
Instructions for using the 3D widgets and the
|
corresponding manual controls can be found in section 7.4.
Accepts boolean values (0 or 1).
This filter operates on any type of data set, provided it
 
has point-centered vectors. The output is polygonal data
|}
containing polylines. This filter is available on the
 
Toolbar.
==Tessellate Generic Dataset==
 
Tessellate a higher-order datasetTessellate
a higher-order dataset.


{| class="PropertiesTable" border="1" cellpadding="5"
{| class="PropertiesTable" border="1" cellpadding="5"
Line 9,956: Line 10,322:
|'''Input''' (Input)
|'''Input''' (Input)
|
|
Set the input to the Generic Tessellator
Specify which is the Input of the StreamTracer
filter.
filter.
|
|
Line 9,962: Line 10,328:
|
|
Accepts input of following types:
Accepts input of following types:
* vtkGenericDataSet
* vtkDataObject
The dataset must contain a field array (point)


|}
with 3 component(s).


==Tetrahedralize==
|-
|'''StaticSeeds''' (StaticSeeds)
|
If the input seeds are not changing, then this
can be set to 1 to avoid having to do a repeated grid search
that would return the exact same result.


This filter converts 3-d cells to tetrahedrons and polygons to triangles. The output is always of type unstructured grid.The
|
Tetrahedralize filter converts the 3D cells of any type of
0
dataset to tetrahedrons and the 2D ones to triangles. This
|
filter always produces unstructured grid
Accepts boolean values (0 or 1).
output.
 
{| class="PropertiesTable" border="1" cellpadding="5"
|-
|-
| '''Property'''
|'''StaticMesh''' (StaticMesh)
| '''Description'''
|
| '''Default Value(s)'''
If the input grid is not changing, then this
| '''Restrictions'''
can be set to 1 to avoid having to create cell locators for
each update.


|
0
|
Accepts boolean values (0 or 1).
|-
|-
|'''Input''' (Input)
|'''Seed Source''' (Source)
|
|
This property specifies the input to the Tetrahedralize
Specify the seed dataset. Typically fron where the
filter.
vector field integration should begin. Usually a point/radius or a line
with a given resolution.
|
|


Line 9,991: Line 10,366:
Accepts input of following types:
Accepts input of following types:
* vtkDataSet
* vtkDataSet
|-
|'''TerminationTime''' (TerminationTime)
|
Setting TerminationTime to a positive value will cause
particles to terminate when the time is reached. The units of time
should be consistent with the primary time variable.
|
0.0
|


|}
|-
 
|'''TimestepValues''' (TimestepValues)
==Texture Map to Cylinder==
|
 
|


Generate texture coordinates by mapping points to cylinder.
|
This is a filter that generates 2D texture coordinates by
mapping input dataset points onto a cylinder. The cylinder
is generated automatically. The cylinder is generated
automatically by computing the axis of the cylinder. Note
that the generated texture coordinates for the
s-coordinate ranges from (0-1) (corresponding to angle of
0->360 around axis), while the mapping of the
t-coordinate is controlled by the projection of points
along the axis.


{| class="PropertiesTable" border="1" cellpadding="5"
|-
|-
| '''Property'''
|'''ForceReinjectionEveryNSteps''' (ForceReinjectionEveryNSteps)
| '''Description'''
|
| '''Default Value(s)'''
When animating particles, it is nice to inject new ones
| '''Restrictions'''
every Nth step to produce a continuous flow. Setting
ForceReinjectionEveryNSteps to a non zero value will cause the particle
source to reinject particles every Nth step even if it is otherwise
unchanged. Note that if the particle source is also animated, this flag
will be redundant as the particles will be reinjected whenever the
source changes anyway
|
1
|


|-
|-
|'''Input''' (Input)
|'''SelectInputVectors''' (SelectInputVectors)
|
|
Set the input to the Texture Map to Cylinder
Specify which vector array should be used for the
filter.
integration through that filter.
|
|


|
|
Accepts input of following types:
An array of vectors is required.
* vtkDataSet
|-
|-
|'''PreventSeam''' (PreventSeam)
|'''ComputeVorticity''' (ComputeVorticity)
|
|
Control how the texture coordinates are generated. If
Compute vorticity and angular rotation of particles as
Prevent Seam is set, the s-coordinate ranges from 0->1 and 1->0
they progress
corresponding to the theta angle variation between 0->180 and
180->0 degrees. Otherwise, the s-coordinate ranges from 0->1
between 0->360 degrees.
|
|
1
1
|
Accepts boolean values (0 or 1).
|-
|'''DisableResetCache''' (DisableResetCache)
|
Prevents cache from getting reset so that new computation
always start from previous results.
|
0
|
|
Accepts boolean values (0 or 1).
Accepts boolean values (0 or 1).


|}
|}
 
 
==Texture Map to Plane==
==Stream Tracer==
 
 
Generate texture coordinates by mapping points to plane.
Integrate streamlines in a vector field.The
TextureMapToPlane is a filter that generates 2D texture
Stream Tracer filter generates streamlines in a vector
coordinates by mapping input dataset points onto a plane.
field from a collection of seed points. Production of
The plane is generated automatically. A least squares
streamlines terminates if a streamline crosses the
method is used to generate the plane
exterior boundary of the input dataset. Other reasons for
automatically.
termination are listed for the MaximumNumberOfSteps,
TerminalSpeed, and MaximumPropagation properties. This
filter operates on any type of dataset, provided it has
point-centered vectors. The output is polygonal data
containing polylines.


{| class="PropertiesTable" border="1" cellpadding="5"
{| class="PropertiesTable" border="1" cellpadding="5"
Line 10,058: Line 10,451:
|'''Input''' (Input)
|'''Input''' (Input)
|
|
Set the input to the Texture Map to Plane
This property specifies the input to the Stream Tracer
filter.
filter.
|
|
Line 10,065: Line 10,458:
Accepts input of following types:
Accepts input of following types:
* vtkDataSet
* vtkDataSet
The dataset must contain a field array (any)


|}
with 3 component(s).
 
==Texture Map to Sphere==
 
Generate texture coordinates by mapping points to sphere.
This is a filter that generates 2D texture coordinates by
mapping input dataset points onto a sphere. The sphere is
generated automatically. The sphere is generated
automatically by computing the center i.e. averaged
coordinates, of the sphere. Note that the generated
texture coordinates range between (0,1). The s-coordinate
lies in the angular direction around the z-axis, measured
counter-clockwise from the x-axis. The t-coordinate lies
in the angular direction measured down from the north pole
towards the south pole.


{| class="PropertiesTable" border="1" cellpadding="5"
|-
|-
| '''Property'''
|'''Vectors''' (SelectInputVectors)
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''
 
|-
|'''Input''' (Input)
|
|
Set the input to the Texture Map to Sphere
This property contains the name of the vector array from
filter.
which to generate streamlines.
|
|


|
|
Accepts input of following types:
An array of vectors is required.
* vtkDataSet
|-
|-
|'''PreventSeam''' (PreventSeam)
|'''InterpolatorType''' (InterpolatorType)
|
|
Control how the texture coordinates are generated. If
This property determines which interpolator to use for
Prevent Seam is set, the s-coordinate ranges from 0->1 and 1->0
evaluating the velocity vector field. The first is faster though the
corresponding to the theta angle variation between 0->180 and
second is more robust in locating cells during streamline
180->0 degrees. Otherwise, the s-coordinate ranges from 0->1
integration.
between 0->360 degrees.
|
0
|
The value(s) is an enumeration of the following:
* Interpolator with Point Locator (0)
* Interpolator with Cell Locator (1)
|-
|'''Surface Streamlines''' (Surface Streamlines)
|
Specify whether or not to compute surface
streamlines.
|
|
1
0
|
|
Accepts boolean values (0 or 1).
Accepts boolean values (0 or 1).
|}
==Threshold==
This filter extracts cells that have point or cell scalars in the specified range.
The Threshold filter extracts the portions of the input
dataset whose scalars lie within the specified range. This
filter operates on either point-centered or cell-centered
data. This filter operates on any type of dataset and
produces unstructured grid output. To select between these
two options, select either Point Data or Cell Data from
the Attribute Mode menu. Once the Attribute Mode has been
selected, choose the scalar array from which to threshold
the data from the Scalars menu. The Lower Threshold and
Upper Threshold sliders determine the range of the scalars
to retain in the output. The All Scalars check box only
takes effect when the Attribute Mode is set to Point Data.
If the All Scalars option is checked, then a cell will
only be passed to the output if the scalar values of all
of its points lie within the range indicated by the Lower
Threshold and Upper Threshold sliders. If unchecked, then
a cell will be added to the output if the specified scalar
value for any of its points is within the chosen
range.
{| class="PropertiesTable" border="1" cellpadding="5"
|-
|-
| '''Property'''
|'''IntegrationDirection''' (IntegrationDirection)
| '''Description'''
|
| '''Default Value(s)'''
This property determines in which direction(s) a
| '''Restrictions'''
streamline is generated.
 
|
2
|
The value(s) is an enumeration of the following:
* FORWARD (0)
* BACKWARD (1)
* BOTH (2)
|-
|-
|'''Input''' (Input)
|'''IntegratorType''' (IntegratorType)
|
|
This property specifies the input to the Threshold
This property determines which integrator (with
filter.
increasing accuracy) to use for creating streamlines.
|
|
 
2
|
The value(s) is an enumeration of the following:
* Runge-Kutta 2 (0)
* Runge-Kutta 4 (1)
* Runge-Kutta 4-5 (2)
|-
|'''Integration Step Unit''' (IntegrationStepUnit)
|
This property specifies the unit for
Minimum/Initial/Maximum integration step size. The Length unit refers
to the arc length that a particle travels/advects within a single step.
The Cell Length unit represents the step size as a number of
cells.
|
2
|
The value(s) is an enumeration of the following:
* Length (1)
* Cell Length (2)
|-
|'''Initial Step Length''' (InitialIntegrationStep)
|
This property specifies the initial integration step
size. For non-adaptive integrators (Runge-Kutta 2 and Runge-Kutta 4),
it is fixed (always equal to this initial value) throughout the
integration. For an adaptive integrator (Runge-Kutta 4-5), the actual
step size varies such that the numerical error is less than a specified
threshold.
|
0.2
|
 
|-
|'''Minimum Step Length''' (MinimumIntegrationStep)
|
When using the Runge-Kutta 4-5 ingrator, this property
specifies the minimum integration step size.
|
0.01
|
 
|-
|'''Maximum Step Length''' (MaximumIntegrationStep)
|
When using the Runge-Kutta 4-5 ingrator, this property
specifies the maximum integration step size.
|
0.5
|
|
Accepts input of following types:
* vtkDataSet
The dataset much contain a field array ()


with 1 component(s).
|-
|'''Maximum Steps''' (MaximumNumberOfSteps)
|
This property specifies the maximum number of steps,
beyond which streamline integration is terminated.
|
2000
|


|-
|'''Maximum Streamline Length''' (MaximumPropagation)
|
This property specifies the maximum streamline length
(i.e., physical arc length), beyond which line integration is
terminated.
|
1.0
|
The value must be less than the largest dimension of the
dataset multiplied by a scale factor of
1.0.
|-
|'''Terminal Speed''' (TerminalSpeed)
|
This property specifies the terminal speed, below which
particle advection/integration is terminated.
|
0.000000000001
|
|-
|'''MaximumError''' (MaximumError)
|
This property specifies the maximum error (for
Runge-Kutta 4-5) tolerated throughout streamline integration. The
Runge-Kutta 4-5 integrator tries to adjust the step size such that the
estimated error is less than this threshold.
|
0.000001
|
|-
|'''ComputeVorticity''' (ComputeVorticity)
|
Specify whether or not to compute
vorticity.
|
1
|
Accepts boolean values (0 or 1).
|-
|'''Seed Type''' (Source)
|
The value of this property determines how the seeds for
the streamlines will be generated.
|
|
The value can be one of the following:
* PointSource (extended_sources)
* HighResLineSource (extended_sources)
|}
==Stream Tracer For Generic Datasets==
Integrate streamlines in a vector field.The
Generic Stream Tracer filter generates streamlines in a
vector field from a collection of seed points. The vector
field used is selected from the Vectors menu, so the input
data set is required to have point-centered vectors. The
Seed portion of the interface allows you to select whether
the seed points for this integration lie in a point cloud
or along a line. Depending on which is selected, the
appropriate 3D widget (point or line widget) is displayed
along with traditional user interface controls for
positioning the point cloud or line within the data set.
Instructions for using the 3D widgets and the
corresponding manual controls can be found in section 7.4.
The Max. Propagation entry box allows you to specify the
maximum length of the streamlines. From the Max.
Propagation menu, you can select the units to be either
Time (the time a particle would travel with steady flow)
or Length (in the data set's spatial coordinates). The
Init. Step Len. menu and entry specify the initial step
size for integration. (For non-adaptive integrators,
Runge-Kutta 2 and 4, the initial step size is used
throughout the integration.) The menu allows you to
specify the units. Time and Length have the same meaning
as for Max. Propagation. Cell Length specifies the step
length as a number of cells. The Integration Direction
menu determines in which direction(s) the stream trace
will be generated: FORWARD, BACKWARD, or BOTH. The
Integrator Type section of the interface determines which
calculation to use for integration: Runge-Kutta 2,
Runge-Kutta 4, or Runge-Kutta 4-5. If Runge-Kutta 4-5 is
selected, controls are displayed for specifying the
minimum and maximum step length and the maximum error. The
controls for specifying Min. Step Len. and Max. Step Len.
are the same as those for Init. Step Len. The Runge-Kutta
4-5 integrator tries to choose the step size so that the
estimated error is less than the value of the Maximum
Error entry. If the integration takes more than Max. Steps
to complete, if the speed goes below Term. Speed, if Max.
Propagation is reached, or if a boundary of the input data
set is crossed, integration terminates. This filter
operates on any type of data set, provided it has
point-centered vectors. The output is polygonal data
containing polylines.
{| class="PropertiesTable" border="1" cellpadding="5"
|-
| '''Property'''
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''
|-
|'''Input''' (Input)
|
Set the input to the Generic Stream Tracer
filter.
|
|
Accepts input of following types:
* vtkGenericDataSet
The dataset must contain a field array (point)
with 3 component(s).
|-
|'''Seed Type''' (Source)
|
The value of this property determines how the seeds for
the streamlines will be generated.
|
|
The value can be one of the following:
* PointSource (extended_sources)
* HighResLineSource (extended_sources)
|-
|'''Vectors''' (SelectInputVectors)
|
This property contains the name of the vector array from
which to generate streamlines.
|
|
An array of vectors is required.
|-
|'''MaximumPropagation''' (MaximumPropagation)
|
Specify the maximum streamline length.
|
1.0
|
The value must be less than the largest dimension of the
dataset multiplied by a scale factor of
1.0.
|-
|'''InitialIntegrationStep''' (InitialIntegrationStep)
|
Specify the initial integration step.
|
0.5
|
|-
|'''IntegrationDirection''' (IntegrationDirection)
|
This property determines in which direction(s) a
streamline is generated.
|
2
|
The value(s) is an enumeration of the following:
* FORWARD (0)
* BACKWARD (1)
* BOTH (2)
|-
|'''IntegratorType''' (IntegratorType)
|
This property determines which integrator (with
increasing accuracy) to use for creating streamlines.
|
2
|
The value(s) is an enumeration of the following:
* Runge-Kutta 2 (0)
* Runge-Kutta 4 (1)
* Runge-Kutta 4-5 (2)
|-
|'''MaximumError''' (MaximumError)
|
Set the maximum error allowed in the integration. The
meaning of this value depends on the integrator chosen.
|
0.000001
|
|-
|'''MinimumIntegrationStep''' (MinimumIntegrationStep)
|
Specify the minimum integration step.
|
0.01
|
|-
|'''IntegrationStepUnit''' (IntegrationStepUnit)
|
Choose the unit to use for the integration
step.
|
2
|
The value(s) is an enumeration of the following:
* Time (0)
* Length (1)
* Cell Length (2)
|-
|'''MaximumIntegrationStep''' (MaximumIntegrationStep)
|
Specify the maximum integration step.
|
0.01
|
|-
|'''MaximumNumberOfSteps''' (MaximumNumberOfSteps)
|
Specify the maximum number of steps used in the
integration.
|
2000
|
|-
|'''TerminalSpeed''' (TerminalSpeed)
|
If at any point the speed is below this value, the
integration is terminated.
|
0.000000000001
|
|}
==Stream Tracer With Custom Source==
Integrate streamlines in a vector field.The
Stream Tracer filter generates streamlines in a vector
field from a collection of seed points. Production of
streamlines terminates if a streamline crosses the
exterior boundary of the input dataset. Other reasons for
termination are listed for the MaximumNumberOfSteps,
TerminalSpeed, and MaximumPropagation properties. This
filter operates on any type of dataset, provided it has
point-centered vectors. The output is polygonal data
containing polylines. This filter takes a Source input
that provides the seed points.
{| class="PropertiesTable" border="1" cellpadding="5"
|-
| '''Property'''
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''
|-
|'''Input''' (Input)
|
This property specifies the input to the Stream Tracer
filter.
|
|
Accepts input of following types:
* vtkDataSet
The dataset must contain a field array (point)
with 3 component(s).
|-
|'''Vectors''' (SelectInputVectors)
|
This property contains the name of the vector array from
which to generate streamlines.
|
|
An array of vectors is required.
|-
|'''Surface Streamlines''' (Surface Streamlines)
|
Specify whether or not to compute surface
streamlines.
|
0
|
Accepts boolean values (0 or 1).
|-
|'''IntegrationDirection''' (IntegrationDirection)
|
This property determines in which direction(s) a
streamline is generated.
|
2
|
The value(s) is an enumeration of the following:
* FORWARD (0)
* BACKWARD (1)
* BOTH (2)
|-
|'''IntegratorType''' (IntegratorType)
|
This property determines which integrator (with
increasing accuracy) to use for creating streamlines.
|
2
|
The value(s) is an enumeration of the following:
* Runge-Kutta 2 (0)
* Runge-Kutta 4 (1)
* Runge-Kutta 4-5 (2)
|-
|'''Integration Step Unit''' (IntegrationStepUnit)
|
This property specifies the unit for
Minimum/Initial/Maximum integration step size. The Length unit refers
to the arc length that a particle travels/advects within a single step.
The Cell Length unit represents the step size as a number of
cells.
|
2
|
The value(s) is an enumeration of the following:
* Length (1)
* Cell Length (2)
|-
|'''Initial Step Length''' (InitialIntegrationStep)
|
This property specifies the initial integration step
size. For non-adaptive integrators (Runge-Kutta 2 and Runge-Kutta 4),
it is fixed (always equal to this initial value) throughout the
integration. For an adaptive integrator (Runge-Kutta 4-5), the actual
step size varies such that the numerical error is less than a specified
threshold.
|
0.2
|
|-
|'''Minimum Step Length''' (MinimumIntegrationStep)
|
When using the Runge-Kutta 4-5 ingrator, this property
specifies the minimum integration step size.
|
0.01
|
|-
|'''Maximum Step Length''' (MaximumIntegrationStep)
|
When using the Runge-Kutta 4-5 ingrator, this property
specifies the maximum integration step size.
|
0.5
|
|-
|'''Maximum Steps''' (MaximumNumberOfSteps)
|
This property specifies the maximum number of steps,
beyond which streamline integration is terminated.
|
2000
|
|-
|'''Maximum Streamline Length''' (MaximumPropagation)
|
This property specifies the maximum streamline length
(i.e., physical arc length), beyond which line integration is
terminated.
|
1.0
|
The value must be less than the largest dimension of the
dataset multiplied by a scale factor of
1.0.
|-
|'''Terminal Speed''' (TerminalSpeed)
|
This property specifies the terminal speed, below which
particle advection/integration is terminated.
|
0.000000000001
|
|-
|'''MaximumError''' (MaximumError)
|
This property specifies the maximum error (for
Runge-Kutta 4-5) tolerated throughout streamline integration. The
Runge-Kutta 4-5 integrator tries to adjust the step size such that the
estimated error is less than this threshold.
|
0.000001
|
|-
|'''ComputeVorticity''' (ComputeVorticity)
|
Specify whether or not to compute
vorticity.
|
1
|
Accepts boolean values (0 or 1).
|-
|'''Seed Source''' (Source)
|
This property specifies the input used to obtain the
seed points.
|
|
|}
==Subdivide==
This filter iteratively divide triangles into four smaller triangles. New points are placed linearly so the output surface matches the input surface.
The Subdivide filter iteratively divides each triangle in
the input dataset into 4 new triangles. Three new points
are added per triangle -- one at the midpoint of each
edge. This filter operates only on polygonal data
containing triangles, so run your polygonal data through
the Triangulate filter first if it is not composed of
triangles. The output of this filter is also
polygonal.
{| class="PropertiesTable" border="1" cellpadding="5"
|-
| '''Property'''
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''
|-
|'''Input''' (Input)
|
This parameter specifies the input to the Subdivide
filter.
|
|
Accepts input of following types:
* vtkPolyData
|-
|'''Number of Subdivisions''' (NumberOfSubdivisions)
|
The value of this property specifies the number of
subdivision iterations to perform.
|
1
|
|}
==Surface Flow==
This filter integrates flow through a surface.
The flow integration fitler integrates the dot product of
a point flow vector field and surface normal. It computes
the net flow across the 2D surface. It operates on any
type of dataset and produces an unstructured grid
output.
{| class="PropertiesTable" border="1" cellpadding="5"
|-
| '''Property'''
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''
|-
|'''Input''' (Input)
|
This property specifies the input to the Surface Flow
filter.
|
|
Accepts input of following types:
* vtkDataSet
The dataset must contain a field array (point)
with 3 component(s).
|-
|'''SelectInputVectors''' (SelectInputVectors)
|
The value of this property specifies the name of the
input vector array containing the flow vector field.
|
|
An array of vectors is required.
|}
==Surface Vectors==
This filter constrains vectors to lie on a surface.
The Surface Vectors filter is used for 2D data sets. It
constrains vectors to lie in a surface by removing
components of the vectors normal to the local
surface.
{| class="PropertiesTable" border="1" cellpadding="5"
|-
| '''Property'''
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''
|-
|'''Input''' (Input)
|
This property specifies the input to the Surface Vectors
filter.
|
|
Accepts input of following types:
* vtkDataSet
The dataset must contain a field array (point)
with 3 component(s).
|-
|'''SelectInputVectors''' (SelectInputVectors)
|
This property specifies the name of the input vector
array to process.
|
|
An array of vectors is required.
|-
|'''ConstraintMode''' (ConstraintMode)
|
This property specifies whether the vectors will be
parallel or perpendicular to the surface. If the value is set to
PerpendicularScale (2), then the output will contain a scalar array
with the dot product of the surface normal and the vector at each
point.
|
0
|
The value(s) is an enumeration of the following:
* Parallel (0)
* Perpendicular (1)
* PerpendicularScale (2)
|}
==Table FFT==
Performs the Fast Fourier Transform on the columns of a
table.
{| class="PropertiesTable" border="1" cellpadding="5"
|-
| '''Property'''
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''
|-
|'''Input''' (Input)
|
This property specifies the input of the
filter.
|
|
Accepts input of following types:
* vtkTable
The dataset must contain a field array (row)
with 1 component(s).
|}
==Table To Points==
Converts table to set of points.The
TableToPolyData filter converts a vtkTable to a set of
points in a vtkPolyData. One must specifies the columns in
the input table to use as the X, Y and Z coordinates for
the points in the output.
{| class="PropertiesTable" border="1" cellpadding="5"
|-
| '''Property'''
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''
|-
|'''Input''' (Input)
|
This property specifies the input..
|
|
Accepts input of following types:
* vtkTable
The dataset must contain a field array (row)
with 1 component(s).
|-
|'''XColumn''' (XColumn)
|
This property specifies which data array is going to be
used as the X coordinate in the generated polydata
dataset.
|
|
|-
|'''YColumn''' (YColumn)
|
This property specifies which data array is going to be
used as the Y coordinate in the generated polydata
dataset.
|
|
|-
|'''ZColumn''' (ZColumn)
|
This property specifies which data array is going to be
used as the Z coordinate in the generated polydata
dataset.
|
|
|-
|'''2D Points''' (Create2DPoints)
|
Specify whether the points of the polydata are 3D or 2D.
If this is set to true then the Z Column will be ignored and the z
value of each point on the polydata will be set to 0. By default this
will be off.
|
0
|
Accepts boolean values (0 or 1).
|-
|'''KeepAllDataArrays''' (KeepAllDataArrays)
|
Allow user to keep columns specified as X,Y,Z as Data
arrays. By default this will be off.
|
0
|
Accepts boolean values (0 or 1).
|}
==Table To Structured Grid==
Converts to table to structured grid.The
TableToStructuredGrid filter converts a vtkTable to a
vtkStructuredGrid. One must specifies the columns in the
input table to use as the X, Y and Z coordinates for the
points in the output, and the whole
extent.
{| class="PropertiesTable" border="1" cellpadding="5"
|-
| '''Property'''
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''
|-
|'''Input''' (Input)
|
This property specifies the input..
|
|
Accepts input of following types:
* vtkTable
The dataset must contain a field array (row)
with 1 component(s).
|-
|'''WholeExtent''' (WholeExtent)
|
|
0 0 0 0 0 0
|
|-
|'''XColumn''' (XColumn)
|
This property specifies which data array is going to be
used as the X coordinate in the generated polydata
dataset.
|
|
|-
|'''YColumn''' (YColumn)
|
This property specifies which data array is going to be
used as the Y coordinate in the generated polydata
dataset.
|
|
|-
|'''ZColumn''' (ZColumn)
|
This property specifies which data array is going to be
used as the Z coordinate in the generated polydata
dataset.
|
|
|}
==Temporal Cache==
Saves a copy of the data set for a fixed number of time steps.The Temporal Cache
can be used to save multiple copies of a data set at
different time steps to prevent thrashing in the pipeline
caused by downstream filters that adjust the requested
time step. For example, assume that there is a downstream
Temporal Interpolator filter. This filter will (usually)
request two time steps from the upstream filters, which in
turn (usually) causes the upstream filters to run twice,
once for each time step. The next time the interpolator
requests the same two time steps, they might force the
upstream filters to re-evaluate the same two time steps.
The Temporal Cache can keep copies of both of these time
steps and provide the requested data without having to run
upstream filters.
{| class="PropertiesTable" border="1" cellpadding="5"
|-
| '''Property'''
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''
|-
|'''Input''' (Input)
|
This property specifies the input of the Temporal Cache
filter.
|
|
Accepts input of following types:
* vtkDataObject
|-
|'''CacheSize''' (CacheSize)
|
The cache size determines the number of time steps that
can be cached at one time. The maximum number is 10. The minimum is 2
(since it makes little sense to cache less than that).
|
2
|
|-
|'''TimestepValues''' (TimestepValues)
|
|
|
|}
==Temporal Interpolator==
Interpolate between time steps.The Temporal
Interpolator converts data that is defined at discrete
time steps to one that is defined over a continuum of time
by linearly interpolating the data's field data between
two adjacent time steps. The interpolated values are a
simple approximation and should not be interpreted as
anything more. The Temporal Interpolator assumes that the
topology between adjacent time steps does not
change.
{| class="PropertiesTable" border="1" cellpadding="5"
|-
| '''Property'''
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''
|-
|'''Input''' (Input)
|
This property specifies the input of the Temporal
Interpolator.
|
|
Accepts input of following types:
* vtkDataObject
|-
|'''DiscreteTimeStepInterval''' (DiscreteTimeStepInterval)
|
If Discrete Time Step Interval is set to 0, then the
Temporal Interpolator will provide a continuous region of time on its
output. If set to anything else, then the output will define a finite
set of time points on its output, each spaced by the Discrete Time Step
Interval. The output will have (time range)/(discrete time step
interval) time steps. (Note that the time range is defined by the time
range of the data of the input filter, which may be different from
other pipeline objects or the range defined in the animation
inspector.) This is a useful option to use if you have a dataset with
one missing time step and wish to 'file-in' the missing data with an
interpolated value from the steps on either side.
|
0.0
|
|-
|'''TimestepValues''' (TimestepValues)
|
|
|
|-
|'''TimeRange''' (TimeRange)
|
|
|
|}
==Temporal Particles To Pathlines==
Creates polylines representing pathlines of animating particles
Particle Pathlines takes any dataset as input, it extracts the
point locations of all cells over time to build up a polyline
trail. The point number (index) is used as the 'key' if the points
are randomly changing their respective order in the points list,
then you should specify a scalar that represents the unique
ID. This is intended to handle the output of a filter such as the
TemporalStreamTracer.
{| class="PropertiesTable" border="1" cellpadding="5"
|-
| '''Property'''
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''
|-
|'''Input''' (Input)
|
The input cells to create pathlines for.
|
|
Accepts input of following types:
* vtkPointSet
The dataset must contain a field array (point)
|-
|'''Selection''' (Selection)
|
Set a second input, which is a selection. Particles with the same
Id in the selection as the primary input will be chosen for
pathlines Note that you must have the same IdChannelArray in the
selection as the input
|
|
Accepts input of following types:
* vtkDataSet
|-
|'''MaskPoints''' (MaskPoints)
|
Set the number of particles to track as a ratio of the input.
Example: setting MaskPoints to 10 will track every 10th point.
|
100
|
|-
|'''MaxTrackLength''' (MaxTrackLength)
|
If the Particles being traced animate for a long time, the trails
or traces will become long and stringy. Setting the
MaxTraceTimeLength will limit how much of the trace is
displayed. Tracks longer then the Max will disappear and the
trace will apppear like a snake of fixed length which progresses
as the particle moves. This length is given with respect to
timesteps.
|
25
|
|-
|'''MaxStepDistance''' (MaxStepDistance)
|
If a particle disappears from one end of a simulation and
reappears on the other side, the track left will be
unrepresentative. Set a MaxStepDistance{x,y,z} which acts as a
threshold above which if a step occurs larger than the value (for
the dimension), the track will be dropped and restarted after the
step. (ie the part before the wrap around will be dropped and the
newer part kept).
|
1.0 1.0 1.0
|
|-
|'''IdChannelArray''' (IdChannelArray)
|
Specify the name of a scalar array which will be used to fetch
the index of each point. This is necessary only if the particles
change position (Id order) on each time step. The Id can be used
to identify particles at each step and hence track them properly.
If this array is set to "Global or Local IDs", the global point
ids are used if they exist or the point index is otherwise.
|
Global or Local IDs
|
An array of scalars is required.
|}
==Temporal Shift Scale==
Shift and scale time values.The Temporal
Shift Scale filter linearly transforms the time values of
a pipeline object by applying a shift and then scale.
Given a data at time t on the input, it will be
transformed to time t*Shift + Scale on the output.
Inversely, if this filter has a request for time t, it
will request time (t-Shift)/Scale on its
input.
{| class="PropertiesTable" border="1" cellpadding="5"
|-
| '''Property'''
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''
|-
|'''Input''' (Input)
|
The input to the Temporal Shift Scale
filter.
|
|
Accepts input of following types:
* vtkDataObject
|-
|'''PreShift''' (PreShift)
|
Apply a translation to the data before scaling. To
convert T{5,100} to T{0,1} use Preshift=-5, Scale=1/95, PostShift=0 To
convert T{5,105} to T{5,10} use Preshift=-5, Scale=5/100,
PostShift=5
|
0.0
|
|-
|'''PostShift''' (PostShift)
|
The amount of time the input is shifted.
|
0.0
|
|-
|'''Scale''' (Scale)
|
The factor by which the input time is
scaled.
|
1.0
|
|-
|'''Periodic''' (Periodic)
|
If Periodic is true, requests for time will be wrapped
around so that the source appears to be a periodic time source. If data
exists for times {0,N-1}, setting periodic to true will cause time 0 to
be produced when time N, 2N, 2N etc is requested. This effectively
gives the source the ability to generate time data indefinitely in a
loop. When combined with Shift/Scale, the time becomes periodic in the
shifted and scaled time frame of reference. Note: Since the input time
may not start at zero, the wrapping of time from the end of one period
to the start of the next, will subtract the initial time - a source
with T{5..6} repeated periodicaly will have output time {5..6..7..8}
etc.
|
0
|
Accepts boolean values (0 or 1).
|-
|'''PeriodicEndCorrection''' (PeriodicEndCorrection)
|
If Periodic time is enabled, this flag determines if the
last time step is the same as the first. If PeriodicEndCorrection is
true, then it is assumed that the input data goes from 0-1 (or whatever
scaled/shifted actual time) and time 1 is the same as time 0 so that
steps will be 0,1,2,3...N,1,2,3...N,1,2,3 where step N is the same as 0
and step 0 is not repeated. When this flag is false the data is assumed
to be literal and output is of the form 0,1,2,3...N,0,1,2,3... By
default this flag is ON
|
1
|
Accepts boolean values (0 or 1).
|-
|'''MaximumNumberOfPeriods''' (MaximumNumberOfPeriods)
|
If Periodic time is enabled, this controls how many time
periods time is reported for. A filter cannot output an infinite number
of time steps and therefore a finite number of periods is generated
when reporting time.
|
1.0
|
|-
|'''TimestepValues''' (TimestepValues)
|
|
|
|}
==Temporal Snap-to-Time-Step==
Modifies the time range/steps of temporal data.
This file modifies the time range or time steps of the
data without changing the data itself. The data is not
resampled by this filter, only the information
accompanying the data is modified.
{| class="PropertiesTable" border="1" cellpadding="5"
|-
| '''Property'''
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''
|-
|'''Input''' (Input)
|
This property specifies the input of the
filter.
|
|
Accepts input of following types:
* vtkDataObject
|-
|'''SnapMode''' (SnapMode)
|
Determine which time step to snap to.
|
0
|
The value(s) is an enumeration of the following:
* Nearest (0)
* NextBelowOrEqual (1)
* NextAboveOrEqual (2)
|-
|'''TimestepValues''' (TimestepValues)
|
|
|
|}
==Temporal Statistics==
Loads in all time steps of a data set and computes some statistics about how each point and cell variable changes over time.Given an input
that changes over time, vtkTemporalStatistics looks at the
data for each time step and computes some statistical
information of how a point or cell variable changes over
time. For example, vtkTemporalStatistics can compute the
average value of "pressure" over time of each point. Note
that this filter will require the upstream filter to be
run on every time step that it reports that it can
compute. This may be a time consuming operation.
vtkTemporalStatistics ignores the temporal spacing. Each
timestep will be weighted the same regardless of how long
of an interval it is to the next timestep. Thus, the
average statistic may be quite different from an
integration of the variable if the time spacing
varies.
{| class="PropertiesTable" border="1" cellpadding="5"
|-
| '''Property'''
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''
|-
|'''Input''' (Input)
|
Set the input to the Temporal Statistics
filter.
|
|
Accepts input of following types:
* vtkDataSet
|-
|'''ComputeAverage''' (ComputeAverage)
|
Compute the average of each point and cell variable over
time.
|
1
|
Accepts boolean values (0 or 1).
|-
|'''ComputeMinimum''' (ComputeMinimum)
|
Compute the minimum of each point and cell variable over
time.
|
1
|
Accepts boolean values (0 or 1).
|-
|'''ComputeMaximum''' (ComputeMaximum)
|
Compute the maximum of each point and cell variable over
time.
|
1
|
Accepts boolean values (0 or 1).
|-
|'''ComputeStandardDeviation''' (ComputeStandardDeviation)
|
Compute the standard deviation of each point and cell
variable over time.
|
1
|
Accepts boolean values (0 or 1).
|}
==Tensor Glyph==
This filter generates an ellipsoid, cuboid, cylinder or superquadric glyph at each point of the input data set. The glyphs are oriented and scaled according to eigenvalues and eigenvectors of tensor point data of the input data set.
The Tensor Glyph filter generates an ellipsoid, cuboid, cylinder or superquadric glyph at every point in
the input data set. The glyphs are oriented and scaled according to eigenvalues and eigenvectors of tensor
point data of the input data set. The Tensor Glyph filter operates on any type of data set. Its output is
polygonal.
{| class="PropertiesTable" border="1" cellpadding="5"
|-
| '''Property'''
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''
|-
|'''Input''' (Input)
|
This property specifies the input to the Glyph filter.
|
|
Accepts input of following types:
* vtkDataSet
The dataset must contain a field array (point)
with 9 component(s).
The dataset must contain a field array (point)
with 1 component(s).
|-
|'''Tensors''' (SelectInputTensors)
|
This property indicates the name of the tensor array on which to operate. The indicated array's
eigenvalues and eigenvectors are used for scaling and orienting the glyphs.
|
|
|-
|'''Glyph Type''' (Source)
|
This property determines which type of glyph will be placed at the points in the input dataset.
|
|
Accepts input of following types:
* vtkPolyDataThe value can be one of the following:
* SphereSource (sources)
* CylinderSource (sources)
* CubeSource (sources)
* SuperquadricSource (sources)
|-
|'''ExtractEigenvalues''' (ExtractEigenvalues)
|
Toggle whether to extract eigenvalues from tensor. If false, eigenvalues/eigenvectors are not extracted and
the columns of the tensor are taken as the eigenvectors (the norm of column, always positive, is the eigenvalue).
If true, the glyph is scaled and oriented according to eigenvalues and eigenvectors; additionally, eigenvalues
are provided as new data array.
|
1
|
Accepts boolean values (0 or 1).
|-
|'''ColorGlyphs''' (ColorGlyphs)
|
This property determines whether or not to color the glyphes.
|
1
|
Accepts boolean values (0 or 1).
|-
|-
|'''Scalars''' (SelectInputScalars)
|'''Scalars''' (SelectInputScalars)
|
|
The value of this property contains the name of the
 
scalar array from which to perform thresholding.
This property indicates the name of the scalar array to use for coloring
|
 
 
|
|
1
An array of scalars is required.The value must be field array name.
|
|-
An array of scalars is required.
|'''Threshold Range''' (ThresholdBetween)
|-
|
|'''Color by''' (ColorMode)
The values of this property specify the upper and lower
|
bounds of the thresholding operation.
 
|
This property determines whether input scalars or computed eigenvalues at the point should be used
0 0
to color the glyphs. If ThreeGlyphs is set and the eigenvalues are chosen for coloring then each glyph
|
is colored by the corresponding eigenvalue and if not set the color corresponding to the largest
The value must lie within the range of the selected data array.
eigenvalue is chosen.
|-
 
|'''AllScalars''' (AllScalars)
|
|
0
If the value of this property is 1, then a cell is only
|
included in the output if the value of the selected array for all its
The value(s) is an enumeration of the following:
points is within the threshold. This is only relevant when thresholding
* input scalars (0)
by a point-centered array.
* eigenvalues (1)
|
|-
1
|'''ScaleFactor''' (ScaleFactor)
|
 
This property specifies the scale factor to scale every glyph by.
 
|
1
|
 
|-
|'''LimitScalingByEigenvalues''' (LimitScalingByEigenvalues)
|
 
This property determines whether scaling of glyphs by ScaleFactor times eigenvalue should be limited.
This is useful to prevent uncontrolled scaling near singularities.
 
|
0
|
Accepts boolean values (0 or 1).
|-
|'''MaxScaleFactor''' (MaxScaleFactor)
|
 
If scaling by eigenvalues should be limited, this value sets an upper limit for scale factor times
eigenvalue.
 
|
10
|
 
|-
|'''Symmetric''' (Symmetric)
|
 
This property determines whether or not to draw a mirror of each glyph.
 
|
0
|
Accepts boolean values (0 or 1).
|-
|'''ThreeGlyphs''' (ThreeGlyphs)
|
 
Toggle whether to produce three glyphs, each of which oriented along an eigenvector and scaled according
to the corresponding eigenvector.
 
|
0
|
Accepts boolean values (0 or 1).
 
|}
 
==Tessellate==
 
Tessellate nonlinear curves, surfaces, and volumes with lines, triangles, and tetrahedra.The Tessellate filter
tessellates cells with nonlinear geometry and/or scalar
fields into a simplicial complex with linearly
interpolated field values that more closely approximate
the original field. This is useful for datasets containing
quadratic cells.
 
{| class="PropertiesTable" border="1" cellpadding="5"
|-
| '''Property'''
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''
 
|-
|'''Input''' (Input)
|
This property specifies the input to the Tessellate
filter.
|
 
|
Accepts input of following types:
* vtkPolyData
* vtkDataSet
* vtkUnstructuredGrid
|-
|'''OutputDimension''' (OutputDimension)
|
The value of this property sets the maximum
dimensionality of the output tessellation. When the value of this
property is 3, 3D cells produce tetrahedra, 2D cells produce triangles,
and 1D cells produce line segments. When the value is 2, 3D cells will
have their boundaries tessellated with triangles. When the value is 1,
all cells except points produce line segments.
|
3
|
 
|-
|'''ChordError''' (ChordError)
|
This property controls the maximum chord error allowed
at any edge midpoint in the output tessellation. The chord error is
measured as the distance between the midpoint of any output edge and
the original nonlinear geometry.
|
1e-3
|
 
|-
|'''Field Error''' (FieldError2)
|
This proeprty controls the maximum field error allowed
at any edge midpoint in the output tessellation. The field error is
measured as the difference between a field value at the midpoint of an
output edge and the value of the corresponding field in the original
nonlinear geometry.
|
 
|
 
|-
|'''Maximum Number of Subdivisions''' (MaximumNumberOfSubdivisions)
|
This property specifies the maximum number of times an
edge may be subdivided. Increasing this number allows further
refinement but can drastically increase the computational and storage
requirements, especially when the value of the OutputDimension property
is 3.
|
3
|
 
|-
|'''MergePoints''' (MergePoints)
|
If the value of this property is set to 1, coincident
vertices will be merged after tessellation has occurred. Only geometry
is considered during the merge and the first vertex encountered is the
one whose point attributes will be used. Any discontinuities in point
fields will be lost. On the other hand, many operations, such as
streamline generation, require coincident vertices to be merged. Toggle
whether to merge coincident vertices.
|
1
|
Accepts boolean values (0 or 1).
 
|}
 
==Tessellate Generic Dataset==
 
Tessellate a higher-order datasetTessellate
a higher-order dataset.
 
{| class="PropertiesTable" border="1" cellpadding="5"
|-
| '''Property'''
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''
 
|-
|'''Input''' (Input)
|
Set the input to the Generic Tessellator
filter.
|
 
|
Accepts input of following types:
* vtkGenericDataSet
 
|}
 
==Tetrahedralize==
 
This filter converts 3-d cells to tetrahedrons and polygons to triangles. The output is always of type unstructured grid.The
Tetrahedralize filter converts the 3D cells of any type of
dataset to tetrahedrons and the 2D ones to triangles. This
filter always produces unstructured grid
output.
 
{| class="PropertiesTable" border="1" cellpadding="5"
|-
| '''Property'''
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''
 
|-
|'''Input''' (Input)
|
This property specifies the input to the Tetrahedralize
filter.
|
 
|
Accepts input of following types:
* vtkDataSet
 
|}
 
==Texture Map to Cylinder==
 
Generate texture coordinates by mapping points to cylinder.
This is a filter that generates 2D texture coordinates by
mapping input dataset points onto a cylinder. The cylinder
is generated automatically. The cylinder is generated
automatically by computing the axis of the cylinder. Note
that the generated texture coordinates for the
s-coordinate ranges from (0-1) (corresponding to angle of
0->360 around axis), while the mapping of the
t-coordinate is controlled by the projection of points
along the axis.
 
{| class="PropertiesTable" border="1" cellpadding="5"
|-
| '''Property'''
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''
 
|-
|'''Input''' (Input)
|
Set the input to the Texture Map to Cylinder
filter.
|
 
|
Accepts input of following types:
* vtkDataSet
|-
|'''PreventSeam''' (PreventSeam)
|
Control how the texture coordinates are generated. If
Prevent Seam is set, the s-coordinate ranges from 0->1 and 1->0
corresponding to the theta angle variation between 0->180 and
180->0 degrees. Otherwise, the s-coordinate ranges from 0->1
between 0->360 degrees.
|
1
|
Accepts boolean values (0 or 1).
 
|}
 
==Texture Map to Plane==
 
Generate texture coordinates by mapping points to plane.
TextureMapToPlane is a filter that generates 2D texture
coordinates by mapping input dataset points onto a plane.
The plane is generated automatically. A least squares
method is used to generate the plane
automatically.
 
{| class="PropertiesTable" border="1" cellpadding="5"
|-
| '''Property'''
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''
 
|-
|'''Input''' (Input)
|
Set the input to the Texture Map to Plane
filter.
|
 
|
Accepts input of following types:
* vtkDataSet
 
|}
 
==Texture Map to Sphere==
 
Generate texture coordinates by mapping points to sphere.
This is a filter that generates 2D texture coordinates by
mapping input dataset points onto a sphere. The sphere is
generated automatically. The sphere is generated
automatically by computing the center i.e. averaged
coordinates, of the sphere. Note that the generated
texture coordinates range between (0,1). The s-coordinate
lies in the angular direction around the z-axis, measured
counter-clockwise from the x-axis. The t-coordinate lies
in the angular direction measured down from the north pole
towards the south pole.
 
{| class="PropertiesTable" border="1" cellpadding="5"
|-
| '''Property'''
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''
 
|-
|'''Input''' (Input)
|
Set the input to the Texture Map to Sphere
filter.
|
 
|
Accepts input of following types:
* vtkDataSet
|-
|'''PreventSeam''' (PreventSeam)
|
Control how the texture coordinates are generated. If
Prevent Seam is set, the s-coordinate ranges from 0->1 and 1->0
corresponding to the theta angle variation between 0->180 and
180->0 degrees. Otherwise, the s-coordinate ranges from 0->1
between 0->360 degrees.
|
1
|
Accepts boolean values (0 or 1).
 
|}
 
==Threshold==
 
This filter extracts cells that have point or cell scalars in the specified range.
The Threshold filter extracts the portions of the input
dataset whose scalars lie within the specified range. This
filter operates on either point-centered or cell-centered
data. This filter operates on any type of dataset and
produces unstructured grid output. To select between these
two options, select either Point Data or Cell Data from
the Attribute Mode menu. Once the Attribute Mode has been
selected, choose the scalar array from which to threshold
the data from the Scalars menu. The Lower Threshold and
Upper Threshold sliders determine the range of the scalars
to retain in the output. The All Scalars check box only
takes effect when the Attribute Mode is set to Point Data.
If the All Scalars option is checked, then a cell will
only be passed to the output if the scalar values of all
of its points lie within the range indicated by the Lower
Threshold and Upper Threshold sliders. If unchecked, then
a cell will be added to the output if the specified scalar
value for any of its points is within the chosen
range.
 
{| class="PropertiesTable" border="1" cellpadding="5"
|-
| '''Property'''
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''
 
|-
|'''Input''' (Input)
|
This property specifies the input to the Threshold
filter.
|
 
|
Accepts input of following types:
* vtkDataSet
The dataset must contain a field array ()
 
with 1 component(s).
 
|-
|'''Scalars''' (SelectInputScalars)
|
The value of this property contains the name of the
scalar array from which to perform thresholding.
|
 
|
An array of scalars is required.The value must be field array name.
|-
|'''Threshold Range''' (ThresholdBetween)
|
The values of this property specify the upper and lower
bounds of the thresholding operation.
|
0 0
|
The value must lie within the range of the selected data array.
|-
|'''AllScalars''' (AllScalars)
|
If the value of this property is 1, then a cell is only
included in the output if the value of the selected array for all its
points is within the threshold. This is only relevant when thresholding
by a point-centered array.
|
1
|
Accepts boolean values (0 or 1).
|-
|'''UseContinuousCellRange''' (UseContinuousCellRange)
|
 
If off, the vertex scalars are treated as a discrete set. If on, they
are treated as a continuous interval over the minimum and maximum. One
important "on" use case: When setting lower and upper threshold
equal to some value and turning AllScalars off, the results are
cells containing the iso-surface for that value. WARNING: Whether on
or off, for higher order input, the filter will not give accurate
results.
 
|
0
|
Accepts boolean values (0 or 1).
 
|}
 
==Transform==
 
This filter applies transformation to the polygons.The Transform
filter allows you to specify the position, size, and
orientation of polygonal, unstructured grid, and
curvilinear data sets.
 
{| class="PropertiesTable" border="1" cellpadding="5"
|-
| '''Property'''
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''
 
|-
|'''Input''' (Input)
|
This property specifies the input to the Transform
filter.
|
 
|
Accepts input of following types:
* vtkPointSet
* vtkImageData
* vtkRectilinearGrid
|-
|'''Transform''' (Transform)
|
The values in this property allow you to specify the
transform (translation, rotation, and scaling) to apply to the input
dataset.
|
 
|
The value can be one of the following:
* Transform3 (extended_sources)
 
 
|}
 
==Transpose Table==
 
Transpose a table.
 
{| class="PropertiesTable" border="1" cellpadding="5"
|-
| '''Property'''
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''
 
|-
|'''Input''' (Input)
|
This property specifies the input to the
filter.
|
 
|
Accepts input of following types:
* vtkTable
The dataset must contain a field array (row)
 
with 1 component(s).
 
|-
|'''Variables of Interest''' (SelectArrays)
|
Choose arrays whose entries will be used to form
observations for statistical analysis.
|
 
|
 
|-
|'''Add a column with original columns name''' (AddIdColumn)
|
This flag indicates if a column must be inserted
at index 0 with the names (ids) of the input columns.
|
1
|
Accepts boolean values (0 or 1).
|-
|'''Use the column with original columns name''' (UseIdColumn)
|
This flag indicates if the output column must be
named using the names listed in the index 0 column.
|
0
|
Accepts boolean values (0 or 1).
|-
|'''Only extract selected columns''' (DoNotTranspose)
|
This flag indicates if the sub-table must be
effectively transposed or not.
|
0
|
|
Accepts boolean values (0 or 1).
Accepts boolean values (0 or 1).
|}
==Transform==
This filter applies transformation to the polygons.The Transform
filter allows you to specify the position, size, and
orientation of polygonal, unstructured grid, and
curvilinear data sets.
{| class="PropertiesTable" border="1" cellpadding="5"
|-
| '''Property'''
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''
|-
|'''Input''' (Input)
|
This property specifies the input to the Transform
filter.
|
|
Accepts input of following types:
* vtkPointSet
* vtkImageData
* vtkRectilinearGrid
|-
|'''Transform''' (Transform)
|
The values in this property allow you to specify the
transform (translation, rotation, and scaling) to apply to the input
dataset.
|
|
The value can be one of the following:
* Transform3 (extended_sources)


|}
|}
Line 10,328: Line 12,516:
Accepts input of following types:
Accepts input of following types:
* vtkPolyData
* vtkPolyData
The dataset much contain a field array (point)
The dataset must contain a field array (point)


with 1 component(s).
with 1 component(s).


The dataset much contain a field array (point)
The dataset must contain a field array (point)


with 3 component(s).
with 3 component(s).
Line 10,513: Line 12,701:
* vtkImageData
* vtkImageData
* vtkRectilinearGrid
* vtkRectilinearGrid
The dataset much contain a field array (point)
The dataset must contain a field array (point)


with 1 component(s).
with 1 component(s).
Line 10,602: Line 12,790:
* vtkImageData
* vtkImageData
* vtkRectilinearGrid
* vtkRectilinearGrid
The dataset much contain a field array (point)
The dataset must contain a field array (point)


with 3 component(s).
with 3 component(s).
Line 10,652: Line 12,840:
Accepts input of following types:
Accepts input of following types:
* vtkCompositeDataSet
* vtkCompositeDataSet
The dataset much contain a field array (cell)
The dataset must contain a field array (cell)


with 1 component(s).
with 1 component(s).


The dataset much contain a field array (cell)
The dataset must contain a field array (cell)


with 3 component(s).
with 3 component(s).

Latest revision as of 18:07, 26 January 2016

AMR Connectivity

Fragment Identification

Property Description Default Value(s) Restrictions
Input (Input)

This property specifies the volume input of the filter.

Accepts input of following types:

  • vtkNonOverlappingAMR

The dataset must contain a field array (cell)

with 1 component(s).

SelectMaterialArrays (SelectMaterialArrays)

This property specifies the cell arrays from which the analysis will determine fragments

An array of scalars is required.

Volume Fraction Value (VolumeFractionSurfaceValue)

This property specifies the values at which to compute the isosurface.

0.1

Resolve Blocks (Resolve Blocks)

Resolve the fragments between blocks.

1

Accepts boolean values (0 or 1).

Propagate Ghosts (Propagate Ghosts)

Propagate regionIds into the ghosts.

0

Accepts boolean values (0 or 1).

AMR Contour

Iso surface cell array.

Property Description Default Value(s) Restrictions
Input (Input)

This property specifies the input of the filter.

Accepts input of following types:

  • vtkCompositeDataSet

The dataset must contain a field array (cell)

with 1 component(s).

SelectMaterialArrays (SelectMaterialArrays)

This property specifies the cell arrays from which the contour filter will compute contour cells.

An array of scalars is required.

Volume Fraction Value (VolumeFractionSurfaceValue)

This property specifies the values at which to compute the isosurface.

0.1

Capping (Capping)

If this property is on, the the boundary of the data set is capped.

1

Accepts boolean values (0 or 1).

DegenerateCells (DegenerateCells)

If this property is on, a transition mesh between levels is created.

1

Accepts boolean values (0 or 1).

MultiprocessCommunication (MultiprocessCommunication)

If this property is off, each process executes independantly.

1

Accepts boolean values (0 or 1).

SkipGhostCopy (SkipGhostCopy)

A simple test to see if ghost values are already set properly.

1

Accepts boolean values (0 or 1).

Triangulate (Triangulate)

Use triangles instead of quads on capping surfaces.

1

Accepts boolean values (0 or 1).

MergePoints (MergePoints)

Use more memory to merge points on the boundaries of blocks.

1

Accepts boolean values (0 or 1).

AMR CutPlane

Planar Cut of an AMR grid datasetThis filter creates a cut-plane of the

Property Description Default Value(s) Restrictions
Input (Input)

This property specifies the input for this filter.

Accepts input of following types:

  • vtkOverlappingAMR
UseNativeCutter (UseNativeCutter)

This property specifies whether the ParaView's generic dataset cutter is used instead of the specialized AMR cutter.

0

Accepts boolean values (0 or 1).

LevelOfResolution (LevelOfResolution)

Set maximum slice resolution.

0

Center (Center)

0.5 0.5 0.5

Normal (Normal)

0 0 1


AMR Dual Clip

Clip with scalars. Tetrahedra.

Property Description Default Value(s) Restrictions
Input (Input)

This property specifies the input of the filter.

Accepts input of following types:

  • vtkCompositeDataSet

The dataset must contain a field array (cell)

with 1 component(s).

SelectMaterialArrays (SelectMaterialArrays)

This property specifies the cell arrays from which the clip filter will compute clipped cells.

An array of scalars is required.

Volume Fraction Value (VolumeFractionSurfaceValue)

This property specifies the values at which to compute the isosurface.

0.1

InternalDecimation (InternalDecimation)

If this property is on, internal tetrahedra are decimation

1

Accepts boolean values (0 or 1).

MultiprocessCommunication (MultiprocessCommunication)

If this property is off, each process executes independantly.

1

Accepts boolean values (0 or 1).

MergePoints (MergePoints)

Use more memory to merge points on the boundaries of blocks.

1

Accepts boolean values (0 or 1).

AMR Fragment Integration

Fragment Integration

Property Description Default Value(s) Restrictions
Input (Input)

This property specifies the volume input of the filter.

Accepts input of following types:

  • vtkNonOverlappingAMR

The dataset must contain a field array (cell)

with 1 component(s).

SelectMaterialArrays (SelectMaterialArrays)

This property specifies the cell arrays from which the analysis will determine fragments

An array of scalars is required.

SelectMassArrays (SelectMassArrays)

This property specifies the cell arrays from which the analysis will determine fragment mass

An array of scalars is required.

SelectVolumeWeightedArrays (SelectVolumeWeightedArrays)

This property specifies the cell arrays from which the analysis will determine volume weighted average values

An array of scalars is required.

SelectMassWeightedArrays (SelectMassWeightedArrays)

This property specifies the cell arrays from which the analysis will determine mass weighted average values

An array of scalars is required.

AMR Fragments Filter

Meta Fragment filterCombines the running of AMRContour, AMRFragmentIntegration, AMRDualContour and ExtractCTHParts

Property Description Default Value(s) Restrictions
Input (Input)

This property specifies the volume input of the filter.

Accepts input of following types:

  • vtkNonOverlappingAMR

The dataset must contain a field array (cell)

with 1 component(s).

SelectMaterialArrays (SelectMaterialArrays)

This property specifies the cell arrays from which the analysis will determine fragments

An array of scalars is required.

SelectMassArrays (SelectMassArrays)

This property specifies the cell arrays from which the analysis will determine fragment mass

An array of scalars is required.

SelectVolumeWeightedArrays (SelectVolumeWeightedArrays)

This property specifies the cell arrays from which the analysis will determine volume weighted average values

An array of scalars is required.

SelectMassWeightedArrays (SelectMassWeightedArrays)

This property specifies the cell arrays from which the analysis will determine mass weighted average values

An array of scalars is required.

Volume Fraction Value (VolumeFractionSurfaceValue)

This property specifies the values at which to compute the isosurface.

0.1

Extract Surface (Extract Surface)

Whether or not to extract a surface from this data

0

Accepts boolean values (0 or 1).

Use Watertight Surface (Use Watertight Surface)

Whether the extracted surface should be watertight or not

0

Accepts boolean values (0 or 1).

Integrate Fragments (Integrate Fragments)

Whether or not to integrate fragments in this data

1

Accepts boolean values (0 or 1).

Add Field Arrays

Reads arrays from a file and adds them to the input data object. Takes in an input data object and a filename. Opens the file and adds any arrays it sees there to the input data.


Property Description Default Value(s) Restrictions
Input (Input)

The input.

FileName (FileName)

This property specifies the file to read to get arrays

The value(s) must be a filename (or filenames).

Angular Periodic Filter

This filter generate a periodic multiblock dataset.This filter generate a periodic multiblock dataset

Property Description Default Value(s) Restrictions
Input (Input)

This property specifies the input to the Periodic filter.

Accepts input of following types:

  • vtkDataSet
BlockIndices (BlockIndices)

This property lists the ids of the blocks to make periodic from the input multiblock dataset.

IterationMode (IterationMode)

This property specifies the mode of iteration, either a user-provided number of periods, or the maximum number of periods to rotate to 360°.

1

The value(s) is an enumeration of the following:

  • Manual (0)
  • Maximum (1)
NumberOfPeriods (NumberOfPeriods)

This property specifies the number of iteration

3

RotationMode (RotationMode)

This property specifies the mode of rotation, either from a user provided angle or from an array in the data.

0

The value(s) is an enumeration of the following:

  • Direct Angle (0)
  • Array Value (1)
RotationAngle (RotationAngle)

Rotation angle in degree.

10

RotationArrayName (RotationArrayName)

Field array name that contains the rotation angle in radian.

periodic angle

Axis (Axis)

This property specifies the axis of rotation

0

The value(s) is an enumeration of the following:

  • Axis X (0)
  • Axis Y (1)
  • Axis Z (2)
Center (Center)

This property specifies the 3D coordinates for the center of the rotation.

0.0 0.0 0.0


Annotate Attribute Data

Adds a text annotation to a Rander View This filter can be used to add a text annotation to a Render View (or similar) using a tuple from any attribute array (point/cell/field/row etc.) from a specific rank (when running in parallel). Use **ArrayName** property to select the array association and array name. Use

    • ElementId* property to set the element number to extract the value to

label with. When running on multiple ranks, use **ProcessId** property to select the rank of interest. The **Prefix** property can be used to specify a string that will be used as the prefix to the generated annotation text.


Property Description Default Value(s) Restrictions
Input (Input)

Set the input of the filter. To avoid the complications/confusion when identifying elements in a composite dataset, this filter doesn't support composite datasets currently.

Accepts input of following types:

  • vtkDataSet
  • vtkTable

The dataset must contain a field array (any)

with 1 component(s).

ArrayAssociation (ArrayAssociation)

Select the attribute to use to popular array names from.

2

The value(s) is an enumeration of the following:

  • Point Data (0)
  • Cell Data (1)
  • Field Data (2)
  • Row Data (6)
ArrayName (ArrayName)

Choose arrays that is going to be displayed

ElementId (ElementId)

Set the element index to annotate with.

0

ProcessId (ProcessId)

Set the process rank to extract element from.

0

Prefix (Prefix)

Text that is used as a prefix to the field value

Value is:


Annotate Global Data

Filter for annotating with global data (designed for ExodusII reader) Annotate Global Data provides a simpler API for creating text annotations using vtkPythonAnnotationFilter. Instead of users specifying the annotation expression, this filter determines the expression based on the array selected by limiting the scope of the functionality. This filter only allows the user to annotate using "global-data" aka field data and specify the string prefix to use. If the field array chosen has as many elements as number of timesteps, the array is assumed to be "temporal" and indexed using the current timestep.


Property Description Default Value(s) Restrictions
Input (Input)

Set the input of the filter.

Accepts input of following types:

  • vtkDataSet

The dataset must contain a field array (none)

with 1 component(s).

SelectArrays (SelectArrays)

Choose arrays that is going to be displayed

Prefix (Prefix)

Text that is used as a prefix to the field value

Value is:

Suffix (Suffix)

Text that is used as a suffix to the field value


Annotate Time Filter

Shows input data time as text annnotation in the view.The Annotate Time filter can be used to show the data time in a text annotation.

Property Description Default Value(s) Restrictions
Input (Input)

This property specifies the input dataset for which to display the time.

Format (Format)

The value of this property is a format string used to display the input time. The format string is specified using printf style.

Time: %f

Shift (Shift)

The amount of time the input is shifted (after scaling).

0.0

Scale (Scale)

The factor by which the input time is scaled.

1.0


Append Attributes

Copies geometry from first input. Puts all of the arrays into the output. The Append Attributes filter takes multiple input data sets with the same geometry and merges their point and cell attributes to produce a single output containing all the point and cell attributes of the inputs. Any inputs without the same number of points and cells as the first input are ignored. The input data sets must already be collected together, either as a result of a reader that loads multiple parts (e.g., EnSight reader) or because the Group Parts filter has been run to form a collection of data sets.

Property Description Default Value(s) Restrictions
Input (Input)

This property specifies the input to the Append Attributes filter.

Accepts input of following types:

  • vtkDataSet

Append Datasets

Takes an input of multiple datasets and output has only one unstructured grid.The Append Datasets filter operates on multiple data sets of any type (polygonal, structured, etc.). It merges their geometry into a single data set. Only the point and cell attributes that all of the input data sets have in common will appear in the output. The input data sets must already be collected together, either as a result of a reader that loads multiple parts (e.g., EnSight reader) or because the Group Parts filter has been run to form a collection of data sets.

Property Description Default Value(s) Restrictions
Input (Input)

This property specifies the datasets to be merged into a single dataset by the Append Datasets filter.

Accepts input of following types:

  • vtkDataSet

Append Geometry

Takes an input of multiple poly data parts and output has only one part.The Append Geometry filter operates on multiple polygonal data sets. It merges their geometry into a single data set. Only the point and cell attributes that all of the input data sets have in common will appear in the output.

Property Description Default Value(s) Restrictions
Input (Input)

Set the input to the Append Geometry filter.

Accepts input of following types:

  • vtkPolyData

Block Scalars

The Level Scalars filter uses colors to show levels of a multiblock dataset.The Level Scalars filter uses colors to show levels of a multiblock dataset.

Property Description Default Value(s) Restrictions
Input (Input)

This property specifies the input to the Level Scalars filter.

Accepts input of following types:

  • vtkMultiBlockDataSet

CTH Surface

Not finished yet.

Property Description Default Value(s) Restrictions
Input (Input)

This property specifies the input of the filter.

Accepts input of following types:

  • vtkCompositeDataSet

CacheKeeper

vtkPVCacheKeeper manages data cache for flip book animations. When caching is disabled, this simply acts as a pass through filter. When caching is enabled, is the current time step has been previously cached then this filter shuts the update request, otherwise propagates the update and then cache the result for later use. The current time step is set using SetCacheTime().

Property Description Default Value(s) Restrictions
Input (Input)

Set the input to the Update Suppressor filter.

CacheTime (CacheTime)

0.0

CachingEnabled (CachingEnabled)

Toggle whether the caching is enabled.

1

Accepts boolean values (0 or 1).

Calculator

Compute new attribute arrays as function of existing arrays. The Calculator filter computes a new data array or new point coordinates as a function of existing scalar or vector arrays. If point-centered arrays are used in the computation of a new data array, the resulting array will also be point-centered. Similarly, computations using cell-centered arrays will produce a new cell-centered array. If the function is computing point coordinates, the result of the function must be a three-component vector.

The Calculator interface operates similarly to a scientific calculator. In creating the function to evaluate, the standard order of operations applies. Each of the calculator functions is described below. Unless otherwise noted, enclose the operand in parentheses using the ( and ) buttons.

- Clear: Erase the current function (displayed in the read-only text box above the calculator buttons). - /: Divide one scalar by another. The operands for this function are not required to be enclosed in parentheses. - *: Multiply two scalars, or multiply a vector by a scalar (scalar multiple). The operands for this function are not required to be enclosed in parentheses. - -: Negate a scalar or vector (unary minus), or subtract one scalar or vector from another. The operands for this function are not required to be enclosed in parentheses. - +: Add two scalars or two vectors. The operands for this function are not required to be enclosed in parentheses. - sin: Compute the sine of a scalar. cos: Compute the cosine of a scalar. - tan: Compute the tangent of a scalar. - asin: Compute the arcsine of a scalar. - acos: Compute the arccosine of a scalar. - atan: Compute the arctangent of a scalar. - sinh: Compute the hyperbolic sine of a scalar. - cosh: Compute the hyperbolic cosine of a scalar. - tanh: Compute the hyperbolic tangent of a scalar. - min: Compute minimum of two scalars. - max: Compute maximum of two scalars. - x^y: Raise one scalar to the power of another scalar. The operands for this function are not required to be enclosed in parentheses. - sqrt: Compute the square root of a scalar. - e^x: Raise e to the power of a scalar. - log: Compute the logarithm of a scalar (deprecated. same as log10). - log10: Compute the logarithm of a scalar to the base 10. - ln: Compute the logarithm of a scalar to the base 'e'. - ceil: Compute the ceiling of a scalar. floor: Compute the floor of a scalar. - abs: Compute the absolute value of a scalar. - v1.v2: Compute the dot product of two vectors. The operands for this function are not required to be enclosed in parentheses. - cross: Compute cross product of two vectors. - mag: Compute the magnitude of a vector. - norm: Normalize a vector.

The operands are described below. The digits 0 - 9 and the decimal point are used to enter constant scalar values. **iHat**, **jHat**, and **kHat** are vector constants representing unit vectors in the X, Y, and Z directions, respectively. The scalars menu lists the names of the scalar arrays and the components of the vector arrays of either the point-centered or cell-centered data. The vectors menu lists the names of the point-centered or cell-centered vector arrays. The function will be computed for each point (or cell) using the scalar or vector value of the array at that point (or cell). The filter operates on any type of data set, but the input data set must have at least one scalar or vector array. The arrays can be either point-centered or cell-centered. The Calculator filter's output is of the same data set type as the input.

Property Description Default Value(s) Restrictions
Input (Input)

This property specifies the input dataset to the Calculator filter. The scalar and vector variables may be chosen from this dataset's arrays.

Accepts input of following types:

  • vtkDataSet

The dataset must contain a field array ()

AttributeMode (AttributeMode)

This property determines whether the computation is to be performed on point-centered or cell-centered data.

1

The value(s) is an enumeration of the following:

  • Point Data (1)
  • Cell Data (2)
CoordinateResults (CoordinateResults)

The value of this property determines whether the results of this computation should be used as point coordinates or as a new array.

0

Accepts boolean values (0 or 1).

ResultNormals (ResultNormals)

Set whether to output results as point/cell normals. Outputing as normals is only valid with vector results. Point or cell normals are selected using AttributeMode.

0

Accepts boolean values (0 or 1).

ResultTCoords (ResultTCoords)

Set whether to output results as point/cell texture coordinates. Point or cell texture coordinates are selected using AttributeMode. 2-component texture coordinates cannot be generated at this time.

0

Accepts boolean values (0 or 1).

ResultArrayName (ResultArrayName)

This property contains the name for the output array containing the result of this computation.

Result

Function (Function)

This property contains the equation for computing the new array.

Replace Invalid Results (ReplaceInvalidValues)

This property determines whether invalid values in the computation will be replaced with a specific value. (See the ReplacementValue property.)

1

Accepts boolean values (0 or 1).

ReplacementValue (ReplacementValue)

If invalid values in the computation are to be replaced with another value, this property contains that value.

0.0


Cell Centers

Create a point (no geometry) at the center of each input cell.The Cell Centers filter places a point at the center of each cell in the input data set. The center computed is the parametric center of the cell, not necessarily the geometric or bounding box center. The cell attributes of the input will be associated with these newly created points of the output. You have the option of creating a vertex cell per point in the outpuut. This is useful because vertex cells are rendered, but points are not. The points themselves could be used for placing glyphs (using the Glyph filter). The Cell Centers filter takes any type of data set as input and produces a polygonal data set as output.

Property Description Default Value(s) Restrictions
Input (Input)

This property specifies the input to the Cell Centers filter.

Accepts input of following types:

  • vtkDataSet
VertexCells (VertexCells)

If set to 1, a vertex cell will be generated per point in the output. Otherwise only points will be generated.

0

Accepts boolean values (0 or 1).

Cell Data to Point Data

Create point attributes by averaging cell attributes.The Cell Data to Point Data filter averages the values of the cell attributes of the cells surrounding a point to compute point attributes. The Cell Data to Point Data filter operates on any type of data set, and the output data set is of the same type as the input.

Property Description Default Value(s) Restrictions
Input (Input)

This property specifies the input to the Cell Data to Point Data filter.

Accepts input of following types:

  • vtkDataSet

The dataset must contain a field array (cell)

PassCellData (PassCellData)

If this property is set to 1, then the input cell data is passed through to the output; otherwise, only the generated point data will be available in the output.

0

Accepts boolean values (0 or 1).

PieceInvariant (PieceInvariant)

If the value of this property is set to 1, this filter will request ghost levels so that the values at boundary points match across processes. NOTE: Enabling this option might cause multiple executions of the data source because more information is needed to remove internal surfaces.

0

Accepts boolean values (0 or 1).

Clean

Merge coincident points if they do not meet a feature edge criteria.The Clean filter takes polygonal data as input and generates polygonal data as output. This filter can merge duplicate points, remove unused points, and transform degenerate cells into their appropriate forms (e.g., a triangle is converted into a line if two of its points are merged).

Property Description Default Value(s) Restrictions
Input (Input)

Set the input to the Clean filter.

Accepts input of following types:

  • vtkPolyData
PieceInvariant (PieceInvariant)

If this property is set to 1, the whole data set will be processed at once so that cleaning the data set always produces the same results. If it is set to 0, the data set can be processed one piece at a time, so it is not necessary for the entire data set to fit into memory; however the results are not guaranteed to be the same as they would be if the Piece invariant option was on. Setting this option to 0 may produce seams in the output dataset when ParaView is run in parallel.

1

Accepts boolean values (0 or 1).

Tolerance (Tolerance)

If merging nearby points (see PointMerging property) and not using absolute tolerance (see ToleranceIsAbsolute property), this property specifies the tolerance for performing merging as a fraction of the length of the diagonal of the bounding box of the input data set.

0.0

AbsoluteTolerance (AbsoluteTolerance)

If merging nearby points (see PointMerging property) and using absolute tolerance (see ToleranceIsAbsolute property), this property specifies the tolerance for performing merging in the spatial units of the input data set.

1.0

ToleranceIsAbsolute (ToleranceIsAbsolute)

This property determines whether to use absolute or relative (a percentage of the bounding box) tolerance when performing point merging.

0

Accepts boolean values (0 or 1).

ConvertLinesToPoints (ConvertLinesToPoints)

If this property is set to 1, degenerate lines (a "line" whose endpoints are at the same spatial location) will be converted to points.

1

Accepts boolean values (0 or 1).

ConvertPolysToLines (ConvertPolysToLines)

If this property is set to 1, degenerate polygons (a "polygon" with only two distinct point coordinates) will be converted to lines.

1

Accepts boolean values (0 or 1).

ConvertStripsToPolys (ConvertStripsToPolys)

If this property is set to 1, degenerate triangle strips (a triangle "strip" containing only one triangle) will be converted to triangles.

1

Accepts boolean values (0 or 1).

PointMerging (PointMerging)

If this property is set to 1, then points will be merged if they are within the specified Tolerance or AbsoluteTolerance (see the Tolerance and AbsoluteTolerance propertys), depending on the value of the ToleranceIsAbsolute property. (See the ToleranceIsAbsolute property.) If this property is set to 0, points will not be merged.

1

Accepts boolean values (0 or 1).

Clean Cells to Grid

This filter merges cells and converts the data set to unstructured grid.Merges degenerate cells. Assumes the input grid does not contain duplicate points. You may want to run vtkCleanUnstructuredGrid first to assert it. If duplicated cells are found they are removed in the output. The filter also handles the case, where a cell may contain degenerate nodes (i.e. one and the same node is referenced by a cell more than once).

Property Description Default Value(s) Restrictions
Input (Input)

This property specifies the input to the Clean Cells to Grid filter.

Accepts input of following types:

  • vtkUnstructuredGrid

Clean to Grid

This filter merges points and converts the data set to unstructured grid.The Clean to Grid filter merges points that are exactly coincident. It also converts the data set to an unstructured grid. You may wish to do this if you want to apply a filter to your data set that is available for unstructured grids but not for the initial type of your data set (e.g., applying warp vector to volumetric data). The Clean to Grid filter operates on any type of data set.

Property Description Default Value(s) Restrictions
Input (Input)

This property specifies the input to the Clean to Grid filter.

Accepts input of following types:

  • vtkDataSet

ClientServerMoveData

Property Description Default Value(s) Restrictions
Input (Input)

Set the input to the Client Server Move Data filter.

OutputDataType (OutputDataType)

0

WholeExtent (WholeExtent)

0 -1 0 -1 0 -1


Clip

Clip with an implicit plane. Clipping does not reduce the dimensionality of the data set. The output data type of this filter is always an unstructured grid.The Clip filter cuts away a portion of the input data set using an implicit plane. This filter operates on all types of data sets, and it returns unstructured grid data on output.

Property Description Default Value(s) Restrictions
Input (Input)

This property specifies the dataset on which the Clip filter will operate.

Accepts input of following types:

  • vtkDataSet

The dataset must contain a field array ()

with 1 component(s).

Clip Type (ClipFunction)

This property specifies the parameters of the clip function (an implicit plane) used to clip the dataset.

The value can be one of the following:

  • Plane (implicit_functions)
  • Box (implicit_functions)
  • Sphere (implicit_functions)
  • Cylinder (implicit_functions)
  • Scalar (implicit_functions)
InputBounds (InputBounds)
Scalars (SelectInputScalars)

If clipping with scalars, this property specifies the name of the scalar array on which to perform the clip operation.

An array of scalars is required.The value must be field array name.

Value (Value)

If clipping with scalars, this property sets the scalar value about which to clip the dataset based on the scalar array chosen. (See SelectInputScalars.) If clipping with a clip function, this property specifies an offset from the clip function to use in the clipping operation. Neither functionality is currently available in ParaView's user interface.

0.0

The value must lie within the range of the selected data array.

InsideOut (InsideOut)

If this property is set to 0, the clip filter will return that portion of the dataset that lies within the clip function. If set to 1, the portions of the dataset that lie outside the clip function will be returned instead.

0

Accepts boolean values (0 or 1).

UseValueAsOffset (UseValueAsOffset)

If UseValueAsOffset is true, Value is used as an offset parameter to the implicit function. Otherwise, Value is used only when clipping using a scalar array.

0

Accepts boolean values (0 or 1).

Crinkle clip (PreserveInputCells)

This parameter controls whether to extract entire cells in the given region or clip those cells so all of the output one stay only inside that region.

0

Accepts boolean values (0 or 1).

Clip Closed Surface

Clip a polygonal dataset with a plane to produce closed surfaces This clip filter cuts away a portion of the input polygonal dataset using a plane to generate a new polygonal dataset.

Property Description Default Value(s) Restrictions
Input (Input)

This property specifies the dataset on which the Clip filter will operate.

Accepts input of following types:

  • vtkPolyData

The dataset must contain a field array (point)

with 1 component(s).

Clipping Plane (ClippingPlane)

This property specifies the parameters of the clipping plane used to clip the polygonal data.

The value can be one of the following:

  • Plane (implicit_functions)
GenerateFaces (GenerateFaces)

Generate polygonal faces in the output.

1

Accepts boolean values (0 or 1).

GenerateOutline (GenerateOutline)

Generate clipping outlines in the output wherever an input face is cut by the clipping plane.

0

Accepts boolean values (0 or 1).

Generate Cell Origins (ScalarMode)

Generate (cell) data for coloring purposes such that the newly generated cells (including capping faces and clipping outlines) can be distinguished from the input cells.

0

The value(s) is an enumeration of the following:

  • None (0)
  • Color (1)
  • Label (2)
InsideOut (InsideOut)

If this flag is turned off, the clipper will return the portion of the data that lies within the clipping plane. Otherwise, the clipper will return the portion of the data that lies outside the clipping plane.

0

Accepts boolean values (0 or 1).

Clipping Tolerance (Tolerance)

Specify the tolerance for creating new points. A small value might incur degenerate triangles.

0.000001

Base Color (BaseColor)

Specify the color for the faces from the input.

0.10 0.10 1.00

Clip Color (ClipColor)

Specifiy the color for the capping faces (generated on the clipping interface).

1.00 0.11 0.10


Clip Generic Dataset

Clip with an implicit plane, sphere or with scalars. Clipping does not reduce the dimensionality of the data set. This output data type of this filter is always an unstructured grid. The Generic Clip filter cuts away a portion of the input data set using a plane, a sphere, a box, or a scalar value. The menu in the Clip Function portion of the interface allows the user to select which implicit function to use or whether to clip using a scalar value. Making this selection loads the appropriate user interface. For the implicit functions, the appropriate 3D widget (plane, sphere, or box) is also displayed. The use of these 3D widgets, including their user interface components, is discussed in section 7.4. If an implicit function is selected, the clip filter returns that portion of the input data set that lies inside the function. If Scalars is selected, then the user must specify a scalar array to clip according to. The clip filter will return the portions of the data set whose value in the selected Scalars array is larger than the Clip value. Regardless of the selection from the Clip Function menu, if the Inside Out option is checked, the opposite portions of the data set will be returned. This filter operates on all types of data sets, and it returns unstructured grid data on output.

Property Description Default Value(s) Restrictions
Input (Input)

Set the input to the Generic Clip filter.

Accepts input of following types:

  • vtkGenericDataSet

The dataset must contain a field array (point)

Clip Type (ClipFunction)

Set the parameters of the clip function.

The value can be one of the following:

  • Plane (implicit_functions)
  • Box (implicit_functions)
  • Sphere (implicit_functions)
  • Scalar (implicit_functions)
InputBounds (InputBounds)
Scalars (SelectInputScalars)

If clipping with scalars, this property specifies the name of the scalar array on which to perform the clip operation.

An array of scalars is required.The value must be field array name.

InsideOut (InsideOut)

Choose which portion of the dataset should be clipped away.

0

Accepts boolean values (0 or 1).

Value (Value)

If clipping with a scalar array, choose the clipping value.

0.0

The value must lie within the range of the selected data array.

Color By Array

This filter generate a color based image data based on a selected data scalar

Property Description Default Value(s) Restrictions
Input (Input)

Accepts input of following types:

  • vtkImageData

The dataset must contain a field array (point)

with 1 component(s).

LookupTable (LookupTable)
Color By (SelectInputScalars)

This property specifies the name of the scalar array from which we will color by.

An array of scalars is required.The value must be field array name.

RGBA NaN Color (NaNColor)

0 0 0 255

OutputFormat (OutputFormat)

3

The value(s) is an enumeration of the following:

  • Luminance (1)
  • Luminance Alpha (2)
  • RGB (3)
  • RGBA (4)

Compute Derivatives

This filter computes derivatives of scalars and vectors. CellDerivatives is a filter that computes derivatives of scalars and vectors at the center of cells. You can choose to generate different output including the scalar gradient (a vector), computed tensor vorticity (a vector), gradient of input vectors (a tensor), and strain matrix of the input vectors (a tensor); or you may choose to pass data through to the output.

Property Description Default Value(s) Restrictions
Input (Input)

This property specifies the input to the filter.

Accepts input of following types:

  • vtkDataSet

The dataset must contain a field array (point)

with 1 component(s).

The dataset must contain a field array (point)

with 3 component(s).

Scalars (SelectInputScalars)

This property indicates the name of the scalar array to differentiate.

An array of scalars is required.

Vectors (SelectInputVectors)

This property indicates the name of the vector array to differentiate.

1

An array of vectors is required.

OutputVectorType (OutputVectorType)

This property Controls how the filter works to generate vector cell data. You can choose to compute the gradient of the input scalars, or extract the vorticity of the computed vector gradient tensor. By default, the filter will take the gradient of the input scalar data.

1

The value(s) is an enumeration of the following:

  • Nothing (0)
  • Scalar Gradient (1)
  • Vorticity (2)
OutputTensorType (OutputTensorType)

This property controls how the filter works to generate tensor cell data. You can choose to compute the gradient of the input vectors, or compute the strain tensor of the vector gradient tensor. By default, the filter will take the gradient of the vector data to construct a tensor.

1

The value(s) is an enumeration of the following:

  • Nothing (0)
  • Vector Gradient (1)
  • Strain (2)

Compute Quartiles

Compute the quartiles table from a dataset or table.

Property Description Default Value(s) Restrictions
Input (Input)

This property specifies the input to the filter.

Accepts input of following types:

  • vtkDataObject

Connectivity

Mark connected components with integer point attribute array.The Connectivity filter assigns a region id to connected components of the input data set. (The region id is assigned as a point scalar value.) This filter takes any data set type as input and produces unstructured grid output.

Property Description Default Value(s) Restrictions
Input (Input)

This property specifies the input to the Connectivity filter.

Accepts input of following types:

  • vtkDataSet
ExtractionMode (ExtractionMode)

Controls the extraction of connected surfaces.

5

The value(s) is an enumeration of the following:

  • Extract Point Seeded Regions (1)
  • Extract Cell Seeded Regions (2)
  • Extract Specified Regions (3)
  • Extract Largest Region (4)
  • Extract All Regions (5)
  • Extract Closes Point Region (6)
ColorRegions (ColorRegions)

Controls the coloring of the connected regions.

1

Accepts boolean values (0 or 1).

Contingency Statistics

Compute a statistical model of a dataset and/or assess the dataset with a statistical model. This filter either computes a statistical model of a dataset or takes such a model as its second input. Then, the model (however it is obtained) may optionally be used to assess the input dataset. This filter computes contingency tables between pairs of attributes. This result is a tabular bivariate probability distribution which serves as a Bayesian-style prior model. Data is assessed by computing <ul> <li> the probability of observing both variables simultaneously; <li> the probability of each variable conditioned on the other (the two values need not be identical); and <li> the pointwise mutual information (PMI). </ul> Finally, the summary statistics include the information entropy of the observations.

Property Description Default Value(s) Restrictions
Input (Input)

The input to the filter. Arrays from this dataset will be used for computing statistics and/or assessed by a statistical model.

Accepts input of following types:

  • vtkImageData
  • vtkStructuredGrid
  • vtkPolyData
  • vtkUnstructuredGrid
  • vtkTable
  • vtkGraph

The dataset must contain a field array ()

ModelInput (ModelInput)

A previously-calculated model with which to assess a separate dataset. This input is optional.

Accepts input of following types:

  • vtkTable
  • vtkMultiBlockDataSet
AttributeMode (AttributeMode)

Specify which type of field data the arrays will be drawn from.

0

The value must be field array name.

Variables of Interest (SelectArrays)

Choose arrays whose entries will be used to form observations for statistical analysis.

Task (Task)

Specify the task to be performed: modeling and/or assessment. <ol> <li> "Detailed model of input data," creates a set of output tables containing a calculated statistical model of the <b>entire</b> input dataset;</li> <li> "Model a subset of the data," creates an output table (or tables) summarizing a <b>randomly-chosen subset</b> of the input dataset;</li> <li> "Assess the data with a model," adds attributes to the first input dataset using a model provided on the second input port; and</li> <li> "Model and assess the same data," is really just operations 2 and 3 above applied to the same input dataset. The model is first trained using a fraction of the input data and then the entire dataset is assessed using that model.</li> </ol> When the task includes creating a model (i.e., tasks 2, and 4), you may adjust the fraction of the input dataset used for training. You should avoid using a large fraction of the input data for training as you will then not be able to detect overfitting. The <i>Training fraction</i> setting will be ignored for tasks 1 and 3.

3

The value(s) is an enumeration of the following:

  • Detailed model of input data (0)
  • Model a subset of the data (1)
  • Assess the data with a model (2)
  • Model and assess the same data (3)
TrainingFraction (TrainingFraction)

Specify the fraction of values from the input dataset to be used for model fitting. The exact set of values is chosen at random from the dataset.

0.1


Contour

Generate isolines or isosurfaces using point scalars.The Contour filter computes isolines or isosurfaces using a selected point-centered scalar array. The Contour filter operates on any type of data set, but the input is required to have at least one point-centered scalar (single-component) array. The output of this filter is polygonal.

Property Description Default Value(s) Restrictions
Input (Input)

This property specifies the input dataset to be used by the contour filter.

Accepts input of following types:

  • vtkDataSet

The dataset must contain a field array (point)

with 1 component(s).

Contour By (SelectInputScalars)

This property specifies the name of the scalar array from which the contour filter will compute isolines and/or isosurfaces.

An array of scalars is required.The value must be field array name.

ComputeNormals (ComputeNormals)

If this property is set to 1, a scalar array containing a normal value at each point in the isosurface or isoline will be created by the contour filter; otherwise an array of normals will not be computed. This operation is fairly expensive both in terms of computation time and memory required, so if the output dataset produced by the contour filter will be processed by filters that modify the dataset's topology or geometry, it may be wise to set the value of this property to 0. Select whether to compute normals.

1

Accepts boolean values (0 or 1).

ComputeGradients (ComputeGradients)

If this property is set to 1, a scalar array containing a gradient value at each point in the isosurface or isoline will be created by this filter; otherwise an array of gradients will not be computed. This operation is fairly expensive both in terms of computation time and memory required, so if the output dataset produced by the contour filter will be processed by filters that modify the dataset's topology or geometry, it may be wise to set the value of this property to 0. Not that if ComputeNormals is set to 1, then gradients will have to be calculated, but they will only be stored in the output dataset if ComputeGradients is also set to 1.

0

Accepts boolean values (0 or 1).

ComputeScalars (ComputeScalars)

If this property is set to 1, an array of scalars (containing the contour value) will be added to the output dataset. If set to 0, the output will not contain this array.

0

Accepts boolean values (0 or 1).

OutputPointsPrecision (OutputPointsPrecision)

Select the output precision of the coordinates. **Single** sets the output to single-precision floating-point (i.e., float), **Double** sets it to double-precision floating-point (i.e., double), and

    • Default** sets it to the same precision as the precision of the

points in the input. Defaults to ***Single***.

0

The value(s) is an enumeration of the following:

  • Single (0)
  • Double (1)
  • Same as input (2)
GenerateTriangles (GenerateTriangles)

This parameter controls whether to produce triangles in the output. Warning: Many filters do not properly handle non-trianglular polygons.

1

Accepts boolean values (0 or 1).

Isosurfaces (ContourValues)

This property specifies the values at which to compute isosurfaces/isolines and also the number of such values.

The value must lie within the range of the selected data array.

Point Merge Method (Locator)

This property specifies an incremental point locator for merging duplicate / coincident points.

The value can be one of the following:

  • MergePoints (incremental_point_locators)
  • IncrementalOctreeMergePoints (incremental_point_locators)
  • NonMergingPointLocator (incremental_point_locators)


Contour Generic Dataset

Generate isolines or isosurfaces using point scalars.The Generic Contour filter computes isolines or isosurfaces using a selected point-centered scalar array. The available scalar arrays are listed in the Scalars menu. The scalar range of the selected array will be displayed. The interface for adding contour values is very similar to the one for selecting cut offsets (in the Cut filter). To add a single contour value, select the value from the New Value slider in the Add value portion of the interface and click the Add button, or press Enter. To instead add several evenly spaced contours, use the controls in the Generate range of values section. Select the number of contour values to generate using the Number of Values slider. The Range slider controls the interval in which to generate the contour values. Once the number of values and range have been selected, click the Generate button. The new values will be added to the Contour Values list. To delete a value from the Contour Values list, select the value and click the Delete button. (If no value is selected, the last value in the list will be removed.) Clicking the Delete All button removes all the values in the list. If no values are in the Contour Values list when Accept is pressed, the current value of the New Value slider will be used. In addition to selecting contour values, you can also select additional computations to perform. If any of Compute Normals, Compute Gradients, or Compute Scalars is selected, the appropriate computation will be performed, and a corresponding point-centered array will be added to the output. The Generic Contour filter operates on a generic data set, but the input is required to have at least one point-centered scalar (single-component) array. The output of this filter is polygonal.

Property Description Default Value(s) Restrictions
Input (Input)

Set the input to the Generic Contour filter.

Accepts input of following types:

  • vtkGenericDataSet

The dataset must contain a field array (point)

with 1 component(s).

Contour By (SelectInputScalars)

This property specifies the name of the scalar array from which the contour filter will compute isolines and/or isosurfaces.

An array of scalars is required.The value must be field array name.

ComputeNormals (ComputeNormals)

Select whether to compute normals.

1

Accepts boolean values (0 or 1).

ComputeGradients (ComputeGradients)

Select whether to compute gradients.

0

Accepts boolean values (0 or 1).

ComputeScalars (ComputeScalars)

Select whether to compute scalars.

0

Accepts boolean values (0 or 1).

Isosurfaces (ContourValues)

This property specifies the values at which to compute isosurfaces/isolines and also the number of such values.

The value must lie within the range of the selected data array.

Point Merge Method (Locator)

This property specifies an incremental point locator for merging duplicate / coincident points.

The value can be one of the following:

  • MergePoints (incremental_point_locators)
  • IncrementalOctreeMergePoints (incremental_point_locators)
  • NonMergingPointLocator (incremental_point_locators)


Convert AMR dataset to Multi-block

Convert AMR to Multiblock

Property Description Default Value(s) Restrictions
Input (Input)

This property specifies the input for this filter.

Accepts input of following types:

  • vtkOverlappingAMR

ConvertSelection

Converts a selection from one type to another.

Property Description Default Value(s) Restrictions
DataInput (DataInput)

Set the vtkDataObject input used to convert the selection.

Accepts input of following types:

  • vtkDataObject
Input (Input)

Set the selection to convert.

Accepts input of following types:

  • vtkSelection
OutputType (OutputType)

Set the ContentType for the output.

5

The value(s) is an enumeration of the following:

  • SELECTIONS (0)
  • GLOBALIDs (1)
  • PEDIGREEIDS (2)
  • VALUES (3)
  • INDICES (4)
  • FRUSTUM (5)
  • LOCATION (6)
  • THRESHOLDS (7)
ArrayNames (ArrayNames)
MatchAnyValues (MatchAnyValues)

0

Accepts boolean values (0 or 1).

Crop

Efficiently extract an area/volume of interest from a 2-d image or 3-d volume.The Crop filter extracts an area/volume of interest from a 2D image or a 3D volume by allowing the user to specify the minimum and maximum extents of each dimension of the data. Both the input and output of this filter are uniform rectilinear data.

Property Description Default Value(s) Restrictions
Input (Input)

This property specifies the input to the Crop filter.

Accepts input of following types:

  • vtkImageData
OutputWholeExtent (OutputWholeExtent)

This property gives the minimum and maximum point index (extent) in each dimension for the output dataset.

0 0 0 0 0 0

The value(s) must lie within the structured-extents of the input dataset.

Curvature

This filter will compute the Gaussian or mean curvature of the mesh at each point.The Curvature filter computes the curvature at each point in a polygonal data set. This filter supports both Gaussian and mean curvatures. ; the type can be selected from the Curvature type menu button.

Property Description Default Value(s) Restrictions
Input (Input)

This property specifies the input to the Curvature filter.

Accepts input of following types:

  • vtkPolyData
InvertMeanCurvature (InvertMeanCurvature)

If this property is set to 1, the mean curvature calculation will be inverted. This is useful for meshes with inward-pointing normals.

0

Accepts boolean values (0 or 1).

CurvatureType (CurvatureType)

This propery specifies which type of curvature to compute.

0

The value(s) is an enumeration of the following:

  • Gaussian (0)
  • Mean (1)

D3

Repartition a data set into load-balanced spatially convex regions. Create ghost cells if requested.The D3 filter is available when ParaView is run in parallel. It operates on any type of data set to evenly divide it across the processors into spatially contiguous regions. The output of this filter is of type unstructured grid.

Property Description Default Value(s) Restrictions
Input (Input)

This property specifies the input to the D3 filter.

Accepts input of following types:

  • vtkDataSet
BoundaryMode (BoundaryMode)

This property determines how cells that lie on processor boundaries are handled. The "Assign cells uniquely" option assigns each boundary cell to exactly one process, which is useful for isosurfacing. Selecting "Duplicate cells" causes the cells on the boundaries to be copied to each process that shares that boundary. The "Divide cells" option breaks cells across process boundary lines so that pieces of the cell lie in different processes. This option is useful for volume rendering.

0

The value(s) is an enumeration of the following:

  • Assign cells uniquely (0)
  • Duplicate cells (1)
  • Divide cells (2)
Minimal Memory (UseMinimalMemory)

If this property is set to 1, the D3 filter requires communication routines to use minimal memory than without this restriction.

0

Accepts boolean values (0 or 1).

Decimate

Simplify a polygonal model using an adaptive edge collapse algorithm. This filter works with triangles only. The Decimate filter reduces the number of triangles in a polygonal data set. Because this filter only operates on triangles, first run the Triangulate filter on a dataset that contains polygons other than triangles.

Property Description Default Value(s) Restrictions
Input (Input)

This property specifies the input to the Decimate filter.

Accepts input of following types:

  • vtkPolyData
TargetReduction (TargetReduction)

This property specifies the desired reduction in the total number of polygons in the output dataset. For example, if the TargetReduction value is 0.9, the Decimate filter will attempt to produce an output dataset that is 10% the size of the input.)

0.9

PreserveTopology (PreserveTopology)

If this property is set to 1, decimation will not split the dataset or produce holes, but it may keep the filter from reaching the reduction target. If it is set to 0, better reduction can occur (reaching the reduction target), but holes in the model may be produced.

0

Accepts boolean values (0 or 1).

FeatureAngle (FeatureAngle)

The value of this property is used in determining where the data set may be split. If the angle between two adjacent triangles is greater than or equal to the FeatureAngle value, then their boundary is considered a feature edge where the dataset can be split.

15.0

BoundaryVertexDeletion (BoundaryVertexDeletion)

If this property is set to 1, then vertices on the boundary of the dataset can be removed. Setting the value of this property to 0 preserves the boundary of the dataset, but it may cause the filter not to reach its reduction target.

1

Accepts boolean values (0 or 1).

Delaunay 2D

Create 2D Delaunay triangulation of input points. It expects a vtkPointSet as input and produces vtkPolyData as output. The points are expected to be in a mostly planar distribution. Delaunay2D is a filter that constructs a 2D Delaunay triangulation from a list of input points. These points may be represented by any dataset of type vtkPointSet and subclasses. The output of the filter is a polygonal dataset containing a triangle mesh. The 2D Delaunay triangulation is defined as the triangulation that satisfies the Delaunay criterion for n-dimensional simplexes (in this case n=2 and the simplexes are triangles). This criterion states that a circumsphere of each simplex in a triangulation contains only the n+1 defining points of the simplex. In two dimensions, this translates into an optimal triangulation. That is, the maximum interior angle of any triangle is less than or equal to that of any possible triangulation. Delaunay triangulations are used to build topological structures from unorganized (or unstructured) points. The input to this filter is a list of points specified in 3D, even though the triangulation is 2D. Thus the triangulation is constructed in the x-y plane, and the z coordinate is ignored (although carried through to the output). You can use the option ProjectionPlaneMode in order to compute the best-fitting plane to the set of points, project the points and that plane and then perform the triangulation using their projected positions and then use it as the plane in which the triangulation is performed. The Delaunay triangulation can be numerically sensitive in some cases. To prevent problems, try to avoid injecting points that will result in triangles with bad aspect ratios (1000:1 or greater). In practice this means inserting points that are "widely dispersed", and enables smooth transition of triangle sizes throughout the mesh. (You may even want to add extra points to create a better point distribution.) If numerical problems are present, you will see a warning message to this effect at the end of the triangulation process. Warning: Points arranged on a regular lattice (termed degenerate cases) can be triangulated in more than one way (at least according to the Delaunay criterion). The choice of triangulation (as implemented by this algorithm) depends on the order of the input points. The first three points will form a triangle; other degenerate points will not break this triangle. Points that are coincident (or nearly so) may be discarded by the algorithm. This is because the Delaunay triangulation requires unique input points. The output of the Delaunay triangulation is supposedly a convex hull. In certain cases this implementation may not generate the convex hull.

Property Description Default Value(s) Restrictions
Input (Input)

This property specifies the input dataset to the Delaunay 2D filter.

Accepts input of following types:

  • vtkPointSet
ProjectionPlaneMode (ProjectionPlaneMode)

This property determines type of projection plane to use in performing the triangulation.

0

The value(s) is an enumeration of the following:

  • XY Plane (0)
  • Best-Fitting Plane (2)
Alpha (Alpha)

The value of this property controls the output of this filter. For a non-zero alpha value, only edges or triangles contained within a sphere centered at mesh vertices will be output. Otherwise, only triangles will be output.

0.0

Tolerance (Tolerance)

This property specifies a tolerance to control discarding of closely spaced points. This tolerance is specified as a fraction of the diagonal length of the bounding box of the points.

0.00001

Offset (Offset)

This property is a multiplier to control the size of the initial, bounding Delaunay triangulation.

1.0

BoundingTriangulation (BoundingTriangulation)

If this property is set to 1, bounding triangulation points (and associated triangles) are included in the output. These are introduced as an initial triangulation to begin the triangulation process. This feature is nice for debugging output.

0

Accepts boolean values (0 or 1).

Delaunay 3D

Create a 3D Delaunay triangulation of input points. It expects a vtkPointSet as input and produces vtkUnstructuredGrid as output.Delaunay3D is a filter that constructs a 3D Delaunay triangulation from a list of input points. These points may be represented by any dataset of type vtkPointSet and subclasses. The output of the filter is an unstructured grid dataset. Usually the output is a tetrahedral mesh, but if a non-zero alpha distance value is specified (called the "alpha" value), then only tetrahedra, triangles, edges, and vertices lying within the alpha radius are output. In other words, non-zero alpha values may result in arbitrary combinations of tetrahedra, triangles, lines, and vertices. (The notion of alpha value is derived from Edelsbrunner's work on "alpha shapes".) The 3D Delaunay triangulation is defined as the triangulation that satisfies the Delaunay criterion for n-dimensional simplexes (in this case n=3 and the simplexes are tetrahedra). This criterion states that a circumsphere of each simplex in a triangulation contains only the n+1 defining points of the simplex. (See text for more information.) While in two dimensions this translates into an "optimal" triangulation, this is not true in 3D, since a measurement for optimality in 3D is not agreed on. Delaunay triangulations are used to build topological structures from unorganized (or unstructured) points. The input to this filter is a list of points specified in 3D. (If you wish to create 2D triangulations see Delaunay2D.) The output is an unstructured grid. The Delaunay triangulation can be numerically sensitive. To prevent problems, try to avoid injecting points that will result in triangles with bad aspect ratios (1000:1 or greater). In practice this means inserting points that are "widely dispersed", and enables smooth transition of triangle sizes throughout the mesh. (You may even want to add extra points to create a better point distribution.) If numerical problems are present, you will see a warning message to this effect at the end of the triangulation process. Warning: Points arranged on a regular lattice (termed degenerate cases) can be triangulated in more than one way (at least according to the Delaunay criterion). The choice of triangulation (as implemented by this algorithm) depends on the order of the input points. The first four points will form a tetrahedron; other degenerate points (relative to this initial tetrahedron) will not break it. Points that are coincident (or nearly so) may be discarded by the algorithm. This is because the Delaunay triangulation requires unique input points. You can control the definition of coincidence with the "Tolerance" instance variable. The output of the Delaunay triangulation is supposedly a convex hull. In certain cases this implementation may not generate the convex hull. This behavior can be controlled by the Offset instance variable. Offset is a multiplier used to control the size of the initial triangulation. The larger the offset value, the more likely you will generate a convex hull; and the more likely you are to see numerical problems. The implementation of this algorithm varies from the 2D Delaunay algorithm (i.e., Delaunay2D) in an important way. When points are injected into the triangulation, the search for the enclosing tetrahedron is quite different. In the 3D case, the closest previously inserted point point is found, and then the connected tetrahedra are searched to find the containing one. (In 2D, a "walk" towards the enclosing triangle is performed.) If the triangulation is Delaunay, then an enclosing tetrahedron will be found. However, in degenerate cases an enclosing tetrahedron may not be found and the point will be rejected.

Property Description Default Value(s) Restrictions
Input (Input)

This property specifies the input dataset to the Delaunay 3D filter.

Accepts input of following types:

  • vtkPointSet
Alpha (Alpha)

This property specifies the alpha (or distance) value to control the output of this filter. For a non-zero alpha value, only edges, faces, or tetra contained within the circumsphere (of radius alpha) will be output. Otherwise, only tetrahedra will be output.

0.0

Tolerance (Tolerance)

This property specifies a tolerance to control discarding of closely spaced points. This tolerance is specified as a fraction of the diagonal length of the bounding box of the points.

0.001

Offset (Offset)

This property specifies a multiplier to control the size of the initial, bounding Delaunay triangulation.

2.5

BoundingTriangulation (BoundingTriangulation)

This boolean controls whether bounding triangulation points (and associated triangles) are included in the output. (These are introduced as an initial triangulation to begin the triangulation process. This feature is nice for debugging output.)

0

Accepts boolean values (0 or 1).

AlphaTets (AlphaTets)

This boolean controls whether tetrahedrons which satisfy the alpha criterion output when alpha is non-zero.

1

Accepts boolean values (0 or 1).

AlphaTris (AlphaTris)

This boolean controls whether triangles which satisfy the alpha criterion output when alpha is non-zero.

1

Accepts boolean values (0 or 1).

AlphaLines (AlphaLines)

This boolean controls whether lines which satisfy the alpha criterion output when alpha is non-zero.

0

Accepts boolean values (0 or 1).

AlphaVerts (AlphaVerts)

This boolean controls whether vertices which satisfy the alpha criterion are output when alpha is non-zero.

0

Accepts boolean values (0 or 1).

Descriptive Statistics

Compute a statistical model of a dataset and/or assess the dataset with a statistical model. This filter either computes a statistical model of a dataset or takes such a model as its second input. Then, the model (however it is obtained) may optionally be used to assess the input dataset.<p> This filter computes the min, max, mean, raw moments M2 through M4, standard deviation, skewness, and kurtosis for each array you select.<p> The model is simply a univariate Gaussian distribution with the mean and standard deviation provided. Data is assessed using this model by detrending the data (i.e., subtracting the mean) and then dividing by the standard deviation. Thus the assessment is an array whose entries are the number of standard deviations from the mean that each input point lies.

Property Description Default Value(s) Restrictions
Input (Input)

The input to the filter. Arrays from this dataset will be used for computing statistics and/or assessed by a statistical model.

Accepts input of following types:

  • vtkImageData
  • vtkStructuredGrid
  • vtkPolyData
  • vtkUnstructuredGrid
  • vtkTable
  • vtkGraph

The dataset must contain a field array ()

ModelInput (ModelInput)

A previously-calculated model with which to assess a separate dataset. This input is optional.

Accepts input of following types:

  • vtkTable
  • vtkMultiBlockDataSet
AttributeMode (AttributeMode)

Specify which type of field data the arrays will be drawn from.

0

The value must be field array name.

Variables of Interest (SelectArrays)

Choose arrays whose entries will be used to form observations for statistical analysis.

Task (Task)

Specify the task to be performed: modeling and/or assessment. <ol> <li> "Detailed model of input data," creates a set of output tables containing a calculated statistical model of the <b>entire</b> input dataset;</li> <li> "Model a subset of the data," creates an output table (or tables) summarizing a <b>randomly-chosen subset</b> of the input dataset;</li> <li> "Assess the data with a model," adds attributes to the first input dataset using a model provided on the second input port; and</li> <li> "Model and assess the same data," is really just operations 2 and 3 above applied to the same input dataset. The model is first trained using a fraction of the input data and then the entire dataset is assessed using that model.</li> </ol> When the task includes creating a model (i.e., tasks 2, and 4), you may adjust the fraction of the input dataset used for training. You should avoid using a large fraction of the input data for training as you will then not be able to detect overfitting. The <i>Training fraction</i> setting will be ignored for tasks 1 and 3.

3

The value(s) is an enumeration of the following:

  • Detailed model of input data (0)
  • Model a subset of the data (1)
  • Assess the data with a model (2)
  • Model and assess the same data (3)
TrainingFraction (TrainingFraction)

Specify the fraction of values from the input dataset to be used for model fitting. The exact set of values is chosen at random from the dataset.

0.1

Deviations should be (SignedDeviations)

Should the assessed values be signed deviations or unsigned?

0

The value(s) is an enumeration of the following:

  • Unsigned (0)
  • Signed (1)

Elevation

Create point attribute array by projecting points onto an elevation vector. The Elevation filter generates point scalar values for an input dataset along a specified direction vector. The Input menu allows the user to select the data set to which this filter will be applied. Use the Scalar range entry boxes to specify the minimum and maximum scalar value to be generated. The Low Point and High Point define a line onto which each point of the data set is projected. The minimum scalar value is associated with the Low Point, and the maximum scalar value is associated with the High Point. The scalar value for each point in the data set is determined by the location along the line to which that point projects.

Property Description Default Value(s) Restrictions
Input (Input)

This property specifies the input dataset to the Elevation filter.

Accepts input of following types:

  • vtkDataSet
ScalarRange (ScalarRange)

This property determines the range into which scalars will be mapped.

0 1

Low Point (LowPoint)

This property defines one end of the direction vector (small scalar values).

0 0 0

The value must lie within the bounding box of the dataset.

It will default to the min in each dimension.

High Point (HighPoint)

This property defines the other end of the direction vector (large scalar values).

0 0 1

The value must lie within the bounding box of the dataset.

It will default to the max in each dimension.


Environment Annotation

Allows annotation of user name, date/time, OS, and possibly filename. Apply to any source. Gui allows manual selection of desired annotation options. If the source is a file, can display the filename.


Property Description Default Value(s) Restrictions
Input (Input)

Set the input of the filter.

Accepts input of following types:

  • vtkDataObject
DisplayUserName (DisplayUserName)

Toggle User Name Visibility.

0

Accepts boolean values (0 or 1).

DisplaySystemName (DisplaySystemName)

Toggle System Name Visibility.

0

Accepts boolean values (0 or 1).

DisplayDate (DisplayDate)

Toggle Date/Time Visibility.

0

Accepts boolean values (0 or 1).

DisplayFileName (DisplayFileName)

Toggle File Name Visibility.

0

Accepts boolean values (0 or 1).

FileName (FileName)

Annotation of file name.


Extract AMR Blocks

This filter extracts a list of datasets from hierarchical datasets.This filter extracts a list of datasets from hierarchical datasets.

Property Description Default Value(s) Restrictions
Input (Input)

This property specifies the input to the Extract Datasets filter.

Accepts input of following types:

  • vtkUniformGridAMR
SelectedDataSets (SelectedDataSets)

This property provides a list of datasets to extract.


Extract Attributes

Extract attribute data as a table.This is a filter that produces a vtkTable from the chosen attribute in the input dataobject. This filter can accept composite datasets. If the input is a composite dataset, the output is a multiblock with vtkTable leaves.

Property Description Default Value(s) Restrictions
Input (Input)

This property specifies the input of the filter.

Accepts input of following types:

  • vtkDataObject
FieldAssociation (FieldAssociation)

Select the attribute data to pass.

0

The value(s) is an enumeration of the following:

  • Points (0)
  • Cells (1)
  • Field Data (2)
  • Vertices (4)
  • Edges (5)
  • Rows (6)
AddMetaData (AddMetaData)

It is possible for this filter to add additional meta-data to the field data such as point coordinates (when point attributes are selected and input is pointset) or structured coordinates etc. To enable this addition of extra information, turn this flag on. Off by default.

0

Accepts boolean values (0 or 1).

Extract Bag Plots

Extract Bag Plots.

Property Description Default Value(s) Restrictions
Input (Input)

This property specifies the input to the filter.

Accepts input of following types:

  • vtkTable

The dataset must contain a field array (row)

with 1 component(s).

Variables of Interest (SelectArrays)

Choose arrays whose entries will be used to form observations for statistical analysis.

Process the transposed of the input table (TransposeTable)

This flag indicates if the input table must be transposed first.

1

Accepts boolean values (0 or 1).

RobustPCA (RobustPCA)

This flag indicates if the PCA should be run in robust mode or not.

0

Accepts boolean values (0 or 1).

HDR smoothing parameter (Sigma)

Specify the smoothing parameter of the HDR.

1

GridSize (GridSize)

Width and height of the grid image to perform the PCA on.

100


Extract Block

This filter extracts a range of blocks from a multiblock dataset.This filter extracts a range of groups from a multiblock dataset

Property Description Default Value(s) Restrictions
Input (Input)

This property specifies the input to the Extract Group filter.

Accepts input of following types:

  • vtkMultiBlockDataSet
BlockIndices (BlockIndices)

This property lists the ids of the blocks to extract from the input multiblock dataset.

PruneOutput (PruneOutput)

When set, the output mutliblock dataset will be pruned to remove empty nodes. On by default.

1

Accepts boolean values (0 or 1).

MaintainStructure (MaintainStructure)

This is used only when PruneOutput is ON. By default, when pruning the output i.e. remove empty blocks, if node has only 1 non-null child block, then that node is removed. To preserve these parent nodes, set this flag to true.

0

Accepts boolean values (0 or 1).

Extract CTH Parts

Create a surface from a CTH volume fraction.Extract CTH Parts is a specialized filter for visualizing the data from a CTH simulation. It first converts the selected cell-centered arrays to point-centered ones. It then contours each array at a value of 0.5. The user has the option of clipping the resulting surface(s) with a plane. This filter only operates on unstructured data. It produces polygonal output.

Property Description Default Value(s) Restrictions
Input (Input)

This property specifies the input to the Extract CTH Parts filter.

Accepts input of following types:

  • vtkDataSet

The dataset must contain a field array (cell)

with 1 component(s).

Clip Type (ClipPlane)

This property specifies whether to clip the dataset, and if so, it also specifies the parameters of the plane with which to clip.

The value can be one of the following:

  • None (implicit_functions)
  • Plane (implicit_functions)
Volume Arrays (VolumeArrays)

This property specifies the name(s) of the volume fraction array(s) for generating parts.

An array of scalars is required.

Volume Fraction Value (VolumeFractionSurfaceValue)

The value of this property is the volume fraction value for the surface.

0.1

CapSurfaces (CapSurfaces)

When enabled, volume surfaces are capped to produce visually closed surface.

1

Accepts boolean values (0 or 1).

RemoveGhostCells (RemoveGhostCells)

When set to false, the output surfaces will not hide contours extracted from ghost cells. This results in overlapping contours but overcomes holes. Default is set to true.

1

Accepts boolean values (0 or 1).

GenerateTriangles (GenerateTriangles)

Triangulate results. When set to false, the internal cut and contour filters are told not to triangulate results if possible.

0

Accepts boolean values (0 or 1).

Extract Cells By Region

This filter extracts cells that are inside/outside a region or at a region boundary. This filter extracts from its input dataset all cells that are either completely inside or outside of a specified region (implicit function). On output, the filter generates an unstructured grid. To use this filter you must specify a region (implicit function). You must also specify whethter to extract cells lying inside or outside of the region. An option exists to extract cells that are neither inside or outside (i.e., boundary).

Property Description Default Value(s) Restrictions
Input (Input)

This property specifies the input to the Slice filter.

Accepts input of following types:

  • vtkDataSet
Intersect With (ImplicitFunction)

This property sets the region used to extract cells.

The value can be one of the following:

  • Plane (implicit_functions)
  • Box (implicit_functions)
  • Sphere (implicit_functions)
InputBounds (InputBounds)
Extraction Side (ExtractInside)

This parameter controls whether to extract cells that are inside or outside the region.

1

The value(s) is an enumeration of the following:

  • outside (0)
  • inside (1)
Extract only intersected (Extract only intersected)

This parameter controls whether to extract only cells that are on the boundary of the region. If this parameter is set, the Extraction Side parameter is ignored. If Extract Intersected is off, this parameter has no effect.

0

Accepts boolean values (0 or 1).

Extract intersected (Extract intersected)

This parameter controls whether to extract cells that are on the boundary of the region.

0

Accepts boolean values (0 or 1).

Extract Component

This filter extracts a component of a multi-component attribute array.

Property Description Default Value(s) Restrictions
Input (Input)

This property specifies the input of the Extract Component filter.

Accepts input of following types:

  • vtkDataSet

The dataset must contain a field array ()

Input Array (SelectInputArray)

This property indicates the name of the array to be extracted.

The value must be field array name.

Component (Component)

This property indicates the component of the array to be extracted.

0

Output Array Name (OutputArrayName)

This property indicates the name of the output scalar array.

Result


Extract Edges

Extract edges of 2D and 3D cells as lines.The Extract Edges filter produces a wireframe version of the input dataset by extracting all the edges of the dataset's cells as lines. This filter operates on any type of data set and produces polygonal output.

Property Description Default Value(s) Restrictions
Input (Input)

This property specifies the input to the Extract Edges filter.

Accepts input of following types:

  • vtkDataSet

Extract Generic Dataset Surface

Extract geometry from a higher-order dataset Extract geometry from a higher-order dataset.

Property Description Default Value(s) Restrictions
Input (Input)

Set the input to the Generic Geometry Filter.

Accepts input of following types:

  • vtkGenericDataSet
PassThroughCellIds (PassThroughCellIds)

Select whether to forward original ids.

1

Accepts boolean values (0 or 1).

Extract Level

This filter extracts a range of groups from a hierarchical dataset.This filter extracts a range of levels from a hierarchical dataset

Property Description Default Value(s) Restrictions
Input (Input)

This property specifies the input to the Extract Group filter.

Accepts input of following types:

  • vtkUniformGridAMR
Levels (Levels)

This property lists the levels to extract from the input hierarchical dataset.


Extract Location

Sample or extract cells at a point. This filter allows you to specify a location and then either interpolate the data attributes from the input dataset at that location or extract the cell(s) at the location.


Property Description Default Value(s) Restrictions
Input (Input)

Set the input dataset producer

Accepts input of following types:

  • vtkDataSet
  • vtkCompositeDataSet

The dataset must contain a field array ()

Mode (Mode)

Select whether to interpolate (probe) data attributes at the specified location, or to extract cell(s) containing the specified location.

1

The value(s) is an enumeration of the following:

  • Interpolate At Location (0)
  • Extract Cell At Location (1)
Location (Location)

Select the location of interest in 3D space.

0.0 0.0 0.0

The value must lie within the bounding box of the dataset.

It will default to the mid in each dimension.


Extract Region Surface

Extract a 2D boundary surface using neighbor relations to eliminate internal faces.The Extract Surface filter extracts the polygons forming the outer surface of the input dataset. This filter operates on any type of data and produces polygonal data as output.

Property Description Default Value(s) Restrictions
Input (Input)

This property specifies the input to the Extract Surface filter.

Accepts input of following types:

  • vtkDataSet
PieceInvariant (PieceInvariant)

If the value of this property is set to 1, internal surfaces along process boundaries will be removed. NOTE: Enabling this option might cause multiple executions of the data source because more information is needed to remove internal surfaces.

1

Accepts boolean values (0 or 1).

NonlinearSubdivisionLevel (NonlinearSubdivisionLevel)

If the input is an unstructured grid with nonlinear faces, this parameter determines how many times the face is subdivided into linear faces. If 0, the output is the equivalent of its linear couterpart (and the midpoints determining the nonlinear interpolation are discarded). If 1, the nonlinear face is triangulated based on the midpoints. If greater than 1, the triangulated pieces are recursively subdivided to reach the desired subdivision. Setting the value to greater than 1 may cause some point data to not be passed even if no quadratic faces exist. This option has no effect if the input is not an unstructured grid.

1

RegionArrayName (RegionArrayName)

This property specifies the name of the material array for generating parts.

material

SingleSided (SingleSided)

If the value of this property is set to 1 (the default), surfaces along the boundary are 1 layer thick. Otherwise there is a surface for the material on each side.

1

Accepts boolean values (0 or 1).

MaterialPropertiesName (MaterialPropertiesName)

This the name of the input material property field data array

material_properties

MaterialIDsName (MaterialIDsName)

This the name of the input and output material id field data array

material_ids

MaterialPIDsName (MaterialPIDsName)

This the name of the output material ancestry id field data array

material_ancestors

InterfaceIDsName (InterfaceIDsName)

This the name of the input and output interface id field data array

interface_ids


Extract Selection

Extract different type of selections.This filter extracts a set of cells/points given a selection. The selection can be obtained from a rubber-band selection (either cell, visible or in a frustum) or threshold selection and passed to the filter or specified by providing an ID list.

Property Description Default Value(s) Restrictions
Input (Input)

This property specifies the input from which the selection is extracted.

Accepts input of following types:

  • vtkDataSet
  • vtkTable
Selection (Selection)

The input that provides the selection object.

Accepts input of following types:

  • vtkSelection
PreserveTopology (PreserveTopology)

If this property is set to 1 the output preserves the topology of its input and adds an insidedness array to mark which cells are inside or out. If 0 then the output is an unstructured grid which contains only the subset of cells that are inside.

0

Accepts boolean values (0 or 1).

ShowBounds (ShowBounds)

For frustum selection, if this property is set to 1 the output is the outline of the frustum instead of the contents of the input that lie within the frustum.

0

Accepts boolean values (0 or 1).

Extract Selection (internal)

This filter extracts a given set of cells or points given a selection. The selection can be obtained from a rubber-band selection (either point, cell, visible or in a frustum) and passed to the filter or specified by providing an ID list. This is an internal filter, use "ExtractSelection" instead.


Property Description Default Value(s) Restrictions
Input (Input)

The input from which the selection is extracted.

Accepts input of following types:

  • vtkDataSet
Selection (Selection)

The input that provides the selection object.

Accepts input of following types:

  • vtkSelection

Extract Subset

Extract a subgrid from a structured grid with the option of setting subsample strides.The Extract Grid filter returns a subgrid of a structured input data set (uniform rectilinear, curvilinear, or nonuniform rectilinear). The output data set type of this filter is the same as the input type.

Property Description Default Value(s) Restrictions
Input (Input)

This property specifies the input to the Extract Grid filter.

Accepts input of following types:

  • vtkImageData
  • vtkRectilinearGrid
  • vtkStructuredPoints
  • vtkStructuredGrid
VOI (VOI)

This property specifies the minimum and maximum point indices along each of the I, J, and K axes; these values indicate the volume of interest (VOI). The output will have the (I,J,K) extent specified here.

0 0 0 0 0 0

The value(s) must lie within the structured-extents of the input dataset.

SampleRateI (SampleRateI)

This property indicates the sampling rate in the I dimension. A value grater than 1 results in subsampling; every nth index will be included in the output.

1

SampleRateJ (SampleRateJ)

This property indicates the sampling rate in the J dimension. A value grater than 1 results in subsampling; every nth index will be included in the output.

1

SampleRateK (SampleRateK)

This property indicates the sampling rate in the K dimension. A value grater than 1 results in subsampling; every nth index will be included in the output.

1

IncludeBoundary (IncludeBoundary)

If the value of this property is 1, then if the sample rate in any dimension is greater than 1, the boundary indices of the input dataset will be passed to the output even if the boundary extent is not an even multiple of the sample rate in a given dimension.

0

Accepts boolean values (0 or 1).

Extract Surface

Extract a 2D boundary surface using neighbor relations to eliminate internal faces.The Extract Surface filter extracts the polygons forming the outer surface of the input dataset. This filter operates on any type of data and produces polygonal data as output.

Property Description Default Value(s) Restrictions
Input (Input)

This property specifies the input to the Extract Surface filter.

Accepts input of following types:

  • vtkDataSet
PieceInvariant (PieceInvariant)

If the value of this property is set to 1, internal surfaces along process boundaries will be removed. NOTE: Enabling this option might cause multiple executions of the data source because more information is needed to remove internal surfaces.

1

Accepts boolean values (0 or 1).

NonlinearSubdivisionLevel (NonlinearSubdivisionLevel)

If the input is an unstructured grid with nonlinear faces, this parameter determines how many times the face is subdivided into linear faces. If 0, the output is the equivalent of its linear couterpart (and the midpoints determining the nonlinear interpolation are discarded). If 1, the nonlinear face is triangulated based on the midpoints. If greater than 1, the triangulated pieces are recursively subdivided to reach the desired subdivision. Setting the value to greater than 1 may cause some point data to not be passed even if no quadratic faces exist. This option has no effect if the input is not an unstructured grid.

1


FFT Of Selection Over Time

Extracts selection over time and plots the FFT Extracts the data of a selection (e.g. points or cells) over time, takes the FFT of them, and plots them.

Property Description Default Value(s) Restrictions


Feature Edges

This filter will extract edges along sharp edges of surfaces or boundaries of surfaces. The Feature Edges filter extracts various subsets of edges from the input data set. This filter operates on polygonal data and produces polygonal output.

Property Description Default Value(s) Restrictions
Input (Input)

This property specifies the input to the Feature Edges filter.

Accepts input of following types:

  • vtkPolyData
BoundaryEdges (BoundaryEdges)

If the value of this property is set to 1, boundary edges will be extracted. Boundary edges are defined as lines cells or edges that are used by only one polygon.

1

Accepts boolean values (0 or 1).

FeatureEdges (FeatureEdges)

If the value of this property is set to 1, feature edges will be extracted. Feature edges are defined as edges that are used by two polygons whose dihedral angle is greater than the feature angle. (See the FeatureAngle property.) Toggle whether to extract feature edges.

1

Accepts boolean values (0 or 1).

Non-Manifold Edges (NonManifoldEdges)

If the value of this property is set to 1, non-manifold ediges will be extracted. Non-manifold edges are defined as edges that are use by three or more polygons.

1

Accepts boolean values (0 or 1).

ManifoldEdges (ManifoldEdges)

If the value of this property is set to 1, manifold edges will be extracted. Manifold edges are defined as edges that are used by exactly two polygons.

0

Accepts boolean values (0 or 1).

Coloring (Coloring)

If the value of this property is set to 1, then the extracted edges are assigned a scalar value based on the type of the edge.

0

Accepts boolean values (0 or 1).

FeatureAngle (FeatureAngle)

Ths value of this property is used to define a feature edge. If the surface normal between two adjacent triangles is at least as large as this Feature Angle, a feature edge exists. (See the FeatureEdges property.)

30.0


FlattenFilter

Property Description Default Value(s) Restrictions
Input (Input)

Set the input to the Flatten Filter.

Accepts input of following types:

  • vtkPointSet
  • vtkGraph
  • vtkCompositeDataSet

Gaussian Resampling

Splat points into a volume with an elliptical, Gaussian distribution.vtkGaussianSplatter is a filter that injects input points into a structured points (volume) dataset. As each point is injected, it "splats" or distributes values to nearby voxels. Data is distributed using an elliptical, Gaussian distribution function. The distribution function is modified using scalar values (expands distribution) or normals (creates ellipsoidal distribution rather than spherical). Warning: results may be incorrect in parallel as points can't splat into other processor's cells.

Property Description Default Value(s) Restrictions
Input (Input)

This property specifies the input to the filter.

Accepts input of following types:

  • vtkDataSet

The dataset must contain a field array (point)

with 1 component(s).

Resample Field (SelectInputScalars)

Choose a scalar array to splat into the output cells. If ignore arrays is chosen, point density will be counted instead.

An array of scalars is required.The value must be field array name.

Resampling Grid (SampleDimensions)

Set / get the dimensions of the sampling structured point set. Higher values produce better results but are much slower.

50 50 50

Extent to Resample (ModelBounds)

Set / get the (xmin,xmax, ymin,ymax, zmin,zmax) bounding box in which the sampling is performed. If any of the (min,max) bounds values are min >= max, then the bounds will be computed automatically from the input data. Otherwise, the user-specified bounds will be used.

0.0 0.0 0.0 0.0 0.0 0.0

Gaussian Splat Radius (Radius)

Set / get the radius of propagation of the splat. This value is expressed as a percentage of the length of the longest side of the sampling volume. Smaller numbers greatly reduce execution time.

0.1

Gaussian Exponent Factor (ExponentFactor)

Set / get the sharpness of decay of the splats. This is the exponent constant in the Gaussian equation. Normally this is a negative value.

-5.0

Scale Splats (ScalarWarping)

Turn on/off the scaling of splats by scalar value.

1

Accepts boolean values (0 or 1).

Scale Factor (ScaleFactor)

Multiply Gaussian splat distribution by this value. If ScalarWarping is on, then the Scalar value will be multiplied by the ScaleFactor times the Gaussian function.

1.0

Elliptical Splats (NormalWarping)

Turn on/off the generation of elliptical splats. If normal warping is on, then the input normals affect the distribution of the splat. This boolean is used in combination with the Eccentricity ivar.

1

Accepts boolean values (0 or 1).

Ellipitical Eccentricity (Eccentricity)

Control the shape of elliptical splatting. Eccentricity is the ratio of the major axis (aligned along normal) to the minor (axes) aligned along other two axes. So Eccentricity gt 1 creates needles with the long axis in the direction of the normal; Eccentricity lt 1 creates pancakes perpendicular to the normal vector.

2.5

Fill Volume Boundary (Capping)

Turn on/off the capping of the outer boundary of the volume to a specified cap value. This can be used to close surfaces (after iso-surfacing) and create other effects.

1

Accepts boolean values (0 or 1).

Fill Value (CapValue)

Specify the cap value to use. (This instance variable only has effect if the ivar Capping is on.)

0.0

Splat Accumulation Mode (Accumulation Mode)

Specify the scalar accumulation mode. This mode expresses how scalar values are combined when splats are overlapped. The Max mode acts like a set union operation and is the most commonly used; the Min mode acts like a set intersection, and the sum is just weird.

1

The value(s) is an enumeration of the following:

  • Min (0)
  • Max (1)
  • Sum (2)
Empty Cell Value (NullValue)

Set the Null value for output points not receiving a contribution from the input points. (This is the initial value of the voxel samples.)

0.0


Generate Ids

Generate scalars from point and cell ids. This filter generates scalars using cell and point ids. That is, the point attribute data scalars are generated from the point ids, and the cell attribute data scalars or field data are generated from the the cell ids.

Property Description Default Value(s) Restrictions
Input (Input)

This property specifies the input to the Cell Data to Point Data filter.

Accepts input of following types:

  • vtkDataSet
ArrayName (ArrayName)

The name of the array that will contain ids.

Ids


Generate Quadrature Points

Create a point set with data at quadrature points. "Create a point set with data at quadrature points."

Property Description Default Value(s) Restrictions
Input (Input)

This property specifies the input of the filter.

Accepts input of following types:

  • vtkUnstructuredGrid

The dataset must contain a field array (cell)

Quadrature Scheme Def (QuadratureSchemeDefinition)

Specifies the offset array from which we generate quadrature points.

An array of scalars is required.

Generate Quadrature Scheme Dictionary

Generate quadrature scheme dictionaries in data sets that do not have them. Generate quadrature scheme dictionaries in data sets that do not have them.

Property Description Default Value(s) Restrictions
Input (Input)

This property specifies the input of the filter.

Accepts input of following types:

  • vtkUnstructuredGrid

Generate Surface Normals

This filter will produce surface normals used for smooth shading. Splitting is used to avoid smoothing across feature edges.This filter generates surface normals at the points of the input polygonal dataset to provide smooth shading of the dataset. The resulting dataset is also polygonal. The filter works by calculating a normal vector for each polygon in the dataset and then averaging the normals at the shared points.

Property Description Default Value(s) Restrictions
Input (Input)

This property specifies the input to the Normals Generation filter.

Accepts input of following types:

  • vtkPolyData
FeatureAngle (FeatureAngle)

The value of this property defines a feature edge. If the surface normal between two adjacent triangles is at least as large as this Feature Angle, a feature edge exists. If Splitting is on, points are duplicated along these feature edges. (See the Splitting property.)

30

Splitting (Splitting)

This property controls the splitting of sharp edges. If sharp edges are split (property value = 1), then points are duplicated along these edges, and separate normals are computed for both sets of points to give crisp (rendered) surface definition.

1

Accepts boolean values (0 or 1).

Consistency (Consistency)

The value of this property controls whether consistent polygon ordering is enforced. Generally the normals for a data set should either all point inward or all point outward. If the value of this property is 1, then this filter will reorder the points of cells that whose normal vectors are oriented the opposite direction from the rest of those in the data set.

1

Accepts boolean values (0 or 1).

FlipNormals (FlipNormals)

If the value of this property is 1, this filter will reverse the normal direction (and reorder the points accordingly) for all polygons in the data set; this changes front-facing polygons to back-facing ones, and vice versa. You might want to do this if your viewing position will be inside the data set instead of outside of it.

0

Accepts boolean values (0 or 1).

Non-Manifold Traversal (NonManifoldTraversal)

Turn on/off traversal across non-manifold edges. Not traversing non-manifold edges will prevent problems where the consistency of polygonal ordering is corrupted due to topological loops.

1

Accepts boolean values (0 or 1).

ComputeCellNormals (ComputeCellNormals)

This filter computes the normals at the points in the data set. In the process of doing this it computes polygon normals too. If you want these normals to be passed to the output of this filter, set the value of this property to 1.

0

Accepts boolean values (0 or 1).

PieceInvariant (PieceInvariant)

Turn this option to to produce the same results regardless of the number of processors used (i.e., avoid seams along processor boundaries). Turn this off if you do want to process ghost levels and do not mind seams.

1

Accepts boolean values (0 or 1).

GeometryFilter

Property Description Default Value(s) Restrictions
Input (Input)

Set the input to the Geoemtry Filter.

UseStrips (UseStrips)

Toggle whether to generate faces containing triangle strips. This should render faster and use less memory, but no cell data is copied.

0

Accepts boolean values (0 or 1).

ForceStrips (ForceStrips)

This makes UseStrips call Modified() after changing its setting to ensure that the filter's output is immediatley changed.

0

Accepts boolean values (0 or 1).

UseOutline (UseOutline)

Toggle whether to generate an outline or a surface.

0

Accepts boolean values (0 or 1).

NonlinearSubdivisionLevel (NonlinearSubdivisionLevel)

Nonlinear faces are approximated with flat polygons. This parameter controls how many times to subdivide nonlinear surface cells. Higher subdivisions generate closer approximations but take more memory and rendering time. Subdivision is recursive, so the number of output polygons can grow exponentially with this parameter.

1

PassThroughIds (PassThroughIds)

If on, the output polygonal dataset will have a celldata array that holds the cell index of the original 3D cell that produced each output cell. This is useful for cell picking.

1

Accepts boolean values (0 or 1).

PassThroughPointIds (PassThroughPointIds)

If on, the output polygonal dataset will have a pointdata array that holds the point index of the original 3D vertex that produced each output vertex. This is useful for picking.

1

Accepts boolean values (0 or 1).

Ghost Cells Generator

Generate ghost cells for unstructured grids. The GhostCellGenerator filter is available when ParaView is run in parallel (ie. with MPI). It operates on unstructured grids only. This filter does not redistribute the input data, it only generates ghost cells at processor boundary by fetching topological and geometrical information of those cells on neighbor ranks. The filter can take benefit of global point ids if they are available - if so it will perform faster, otherwise point coordinates will be exchanged and processed.


Property Description Default Value(s) Restrictions
Input (Input)

This property specifies the input to the ghost cells generator.

Accepts input of following types:

  • vtkUnstructuredGrid
BuildIfRequired (BuildIfRequired)

Specify if the filter must generate the ghost cells only if required by the pipeline downstream.

1

Accepts boolean values (0 or 1).

UseGlobalIds (UseGlobalIds)

Specify if the filter must take benefit of global point ids if they exist or if point coordinates should be used instead.

1

Accepts boolean values (0 or 1).

GlobalPointIdsArrayName (GlobalPointIdsArrayName)

This property provides the name for the input array containing the global point ids if the GlobalIds array of the point data if not set. Default is GlobalNodeIds.

GlobalNodeIds


Glyph

This filter produces a glyph at each point of in input data set. The glyphs can be oriented and scaled by point attributes of the input dataset. The Glyph filter generates a glyph (i.e., an arrow, cone, cube, cylinder, line, sphere, or 2D glyph) at each point in the input dataset. The glyphs can be oriented and scaled by the input point-centered scalars and vectors. The Glyph filter operates on any type of data set. Its output is polygonal

To use this filter, you first select the arrays to use for as the

    • Scalars** and **Vectors**, if any. To orient the glyphs using the

selected **Vectors**, use **Orient** property. To scale the glyphs using the selected **Scalars** or **Vectors**, use the **Scale Mode** property.

The **Glyph Mode** property controls which points in the input dataset are selected for glyphing (since in most cases, glyping all points in the input dataset can be both performance impeding as well as visually cluttred.


Property Description Default Value(s) Restrictions
Input (Input)

This property specifies the input to the Glyph filter. This is the dataset from which the points are selecetd to be glyphed.

Accepts input of following types:

  • vtkDataSet

The dataset must contain a field array ()

with 1 component(s).

The dataset must contain a field array ()

with 3 component(s).

Glyph Type (Source)

This property determines which type of glyph will be placed at the points in the input dataset.

Accepts input of following types:

  • vtkPolyDataThe value can be one of the following:
  • ArrowSource (sources)
  • ConeSource (sources)
  • CubeSource (sources)
  • CylinderSource (sources)
  • LineSource (sources)
  • SphereSource (sources)
  • GlyphSource2D (sources)
Scalars (Scalars)

Select the input array to be treated as the active **Scalars**. You can scale the glyphs using the selected scalars by setting the **Scale Mode** property to **scalar**.

0

An array of scalars is required.The value must be field array name.

Vectors (Vectors)

Select the input array to be treated as the active **Vectors**. You can scale the glyphs using the selected vectors by setting the **Scale Mode** property to **vector** or **vector_components**. You can orient the glyphs using the selected vectors by checking the **Orient** property.

1

An array of vectors is required.The value must be field array name.

Orient (Orient)

If this property is set to 1, the glyphs will be oriented based on the vectors selected using the **Vectors** property.

1

Accepts boolean values (0 or 1).

ScaleMode (ScaleMode)

Select how to scale the glyphs. Set to **off** to disable scaling entirely. Set to **scalar** to scale the glyphs using the array selected using the **Scalars** property. Set to **vector** to scale the glyphs using the magnitude of the array selected using the **Vectors** property. Set to **vector_components** to scale using the **Vectors**, scaling each component individually.

3

The value(s) is an enumeration of the following:

  • scalar (0)
  • vector (1)
  • vector_components (2)
  • off (3)
ScaleFactor (ScaleFactor)

Specify the constant multiplier to use to scale the glyphs.

1.0

The value must lie within the range of the selected data array.The value must lie within the range of the selected data array. The value must be less than the largest dimension of the dataset multiplied by a scale factor of 0.1.

GlyphMode (GlyphMode)

This property indicates the mode that will be used to generate glyphs from the dataset.

2

The value(s) is an enumeration of the following:

  • All Points (0)
  • Every Nth Point (1)
  • Uniform Spatial Distribution (2)
MaximumNumberOfSamplePoints (MaximumNumberOfSamplePoints)

This property specifies the maximum number of sample points to use when sampling the space when Uniform Spatial Distribution is used.

5000

Seed (Seed)

This property specifies the seed that will be used for generating a uniform distribution of glyph points when a Uniform Spatial Distribution is used.

10339

Stride (Stride)

This property specifies the stride that will be used when glyphing by Every Nth Point.

1

GlyphTransform (GlyphTransform)

The values in this property allow you to specify the transform (translation, rotation, and scaling) to apply to the glyph source.

The value can be one of the following:

  • Transform2 (extended_sources)


Glyph With Custom Source

This filter generates a glyph at each point of the input data set. The glyphs can be oriented and scaled by point attributes of the input dataset. The Glyph filter generates a glyph at each point in the input dataset. The glyphs can be oriented and scaled by the input point-centered scalars and vectors. The Glyph filter operates on any type of data set. Its output is polygonal. This filter is available on the Toolbar.

Property Description Default Value(s) Restrictions
Input (Input)

This property specifies the input to the Glyph filter. This is the dataset from which the points are selecetd to be glyphed.

Accepts input of following types:

  • vtkDataSet

The dataset must contain a field array (point)

with 1 component(s).

The dataset must contain a field array (point)

with 3 component(s).

Glyph Type (Source)

This property determines which type of glyph will be placed at the points in the input dataset.

Accepts input of following types:

  • vtkPolyData
Scalars (Scalars)

Select the input array to be treated as the active "Scalars". You can scale the glyphs using the selected scalars by setting the "Scale Mode" property to "scalar"

An array of scalars is required.

Vectors (Vectors)

Select the input array to be treated as the active "Vectors". You can scale the glyphs using the selected vectors by setting the "Scale Mode" property to "vector" or "vector_components". You can orient the glyphs using the selected vectors by checking the "Orient" property.

1

An array of vectors is required.

Orient (Orient)

If this property is set to 1, the glyphs will be oriented based on the vectors selected using the "Vectors" property.

1

Accepts boolean values (0 or 1).

ScaleMode (ScaleMode)

Select how to scale the glyphs. Set to "off" to disable scaling entirely. Set to "scalar" to scale the glyphs using the array selected using the "Scalars" property. Set to "vector" to scale the glyphs using the magnitude of the array selected using the "Vectors" property. Set to "vector_components" to scale using the "Vectors", scaling each component individually.

3

The value(s) is an enumeration of the following:

  • scalar (0)
  • vector (1)
  • vector_components (2)
  • off (3)
ScaleFactor (ScaleFactor)

Specify the constant multiplier to use to scale the glyphs.

1.0

The value must lie within the range of the selected data array.The value must lie within the range of the selected data array. The value must be less than the largest dimension of the dataset multiplied by a scale factor of 0.1.

GlyphMode (GlyphMode)

This property indicates the mode that will be used to generate glyphs from the dataset.

2

The value(s) is an enumeration of the following:

  • All Points (0)
  • Every Nth Point (1)
  • Uniform Spatial Distribution (2)
MaximumNumberOfSamplePoints (MaximumNumberOfSamplePoints)

This property specifies the maximum number of sample points to use when sampling the space when Uniform Spatial Distribution is used.

5000

Seed (Seed)

This property specifies the seed that will be used for generating a uniform distribution of glyph points when a Uniform Spatial Distribution is used.

10339

Stride (Stride)

This property specifies the stride that will be used when glyphing by Every Nth Point.

1

GlyphTransform (GlyphTransform)

The values in this property allow you to specify the transform (translation, rotation, and scaling) to apply to the glyph source.

The value can be one of the following:

  • Transform2 (extended_sources)


Gradient

This filter computes gradient vectors for an image/volume.The Gradient filter computes the gradient vector at each point in an image or volume. This filter uses central differences to compute the gradients. The Gradient filter operates on uniform rectilinear (image) data and produces image data output.

Property Description Default Value(s) Restrictions
Input (Input)

This property specifies the input to the Gradient filter.

Accepts input of following types:

  • vtkImageData

The dataset must contain a field array (point)

with 1 component(s).

SelectInputScalars (SelectInputScalars)

This property lists the name of the array from which to compute the gradient.

An array of scalars is required.

Dimensionality (Dimensionality)

This property indicates whether to compute the gradient in two dimensions or in three. If the gradient is being computed in two dimensions, the X and Y dimensions are used.

3

The value(s) is an enumeration of the following:

  • Two (2)
  • Three (3)

Gradient Magnitude

Compute the magnitude of the gradient vectors for an image/volume.The Gradient Magnitude filter computes the magnitude of the gradient vector at each point in an image or volume. This filter operates on uniform rectilinear (image) data and produces image data output.

Property Description Default Value(s) Restrictions
Input (Input)

This property specifies the input to the Gradient Magnitude filter.

Accepts input of following types:

  • vtkImageData

The dataset must contain a field array (point)

with 1 component(s).

Dimensionality (Dimensionality)

This property indicates whether to compute the gradient magnitude in two or three dimensions. If computing the gradient magnitude in 2D, the gradients in X and Y are used for computing the gradient magnitude.

3

The value(s) is an enumeration of the following:

  • Two (2)
  • Three (3)

Gradient Of Unstructured DataSet

Estimate the gradient for each point or cell in any type of dataset. The Gradient (Unstructured) filter estimates the gradient vector at each point or cell. It operates on any type of vtkDataSet, and the output is the same type as the input. If the dataset is a vtkImageData, use the Gradient filter instead; it will be more efficient for this type of dataset.

Property Description Default Value(s) Restrictions
Input (Input)

This property specifies the input to the Gradient (Unstructured) filter.

Accepts input of following types:

  • vtkDataSet

The dataset must contain a field array ()

Scalar Array (SelectInputScalars)

This property lists the name of the scalar array from which to compute the gradient.

An array of scalars is required.The value must be field array name.

ComputeGradient (ComputeGradient)

When this flag is on, the gradient filter will compute the gradient of the input array.

1

Accepts boolean values (0 or 1).

ResultArrayName (ResultArrayName)

This property provides a name for the output array containing the gradient vectors.

Gradients

FasterApproximation (FasterApproximation)

When this flag is on, the gradient filter will provide a less accurate (but close) algorithm that performs fewer derivative calculations (and is therefore faster). The error contains some smoothing of the output data and some possible errors on the boundary. This parameter has no effect when performing the gradient of cell data or when the input grid is not a vtkUnstructuredGrid.

0

Accepts boolean values (0 or 1).

ComputeDivergence (ComputeDivergence)

When this flag is on, the gradient filter will compute the divergence of a 3 component array.

0

Accepts boolean values (0 or 1).

DivergenceArrayName (DivergenceArrayName)

This property provides a name for the output array containing the divergence vector.

Divergence

ComputeVorticity (ComputeVorticity)

When this flag is on, the gradient filter will compute the vorticity/curl of a 3 component array.

0

Accepts boolean values (0 or 1).

VorticityArrayName (VorticityArrayName)

This property provides a name for the output array containing the vorticity vector.

Vorticity

ComputeQCriterion (ComputeQCriterion)

When this flag is on, the gradient filter will compute the Q-criterion of a 3 component array.

0

Accepts boolean values (0 or 1).

QCriterionArrayName (QCriterionArrayName)

This property provides a name for the output array containing Q criterion.

Q-criterion


Grid Connectivity

Mass properties of connected fragments for unstructured grids.This filter works on multiblock unstructured grid inputs and also works in parallel. It Ignores any cells with a cell data Status value of 0. It performs connectivity to distict fragments separately. It then integrates attributes of the fragments.

Property Description Default Value(s) Restrictions
Input (Input)

This property specifies the input of the filter.

Accepts input of following types:

  • vtkUnstructuredGrid
  • vtkCompositeDataSet

Group Datasets

Group data sets. Groups multiple datasets to create a multiblock dataset

Property Description Default Value(s) Restrictions
Input (Input)

This property indicates the the inputs to the Group Datasets filter.

Accepts input of following types:

  • vtkDataObject

Histogram

Extract a histogram from field data.

Property Description Default Value(s) Restrictions
Input (Input)

This property specifies the input to the Histogram filter.

Accepts input of following types:

  • vtkDataSet

The dataset must contain a field array ()

SelectInputArray (SelectInputArray)

This property indicates the name of the array from which to compute the histogram.

An array of scalars is required.The value must be field array name.

BinCount (BinCount)

The value of this property specifies the number of bins for the histogram.

10

Component (Component)

The value of this property specifies the array component from which the histogram should be computed.

0

CalculateAverages (CalculateAverages)

This option controls whether the algorithm calculates averages of variables other than the primary variable that fall into each bin.

0

Accepts boolean values (0 or 1).

UseCustomBinRanges (UseCustomBinRanges)

When set to true, CustomBinRanges will be used instead of using the full range for the selected array. By default, set to false.

0

Accepts boolean values (0 or 1).

CustomBinRanges (CustomBinRanges)

Set custom bin ranges to use. These are used only when UseCustomBinRanges is set to true.

0.0 100.0

The value must lie within the range of the selected data array.

Image Data To AMR

Converts certain images to AMR.

Property Description Default Value(s) Restrictions
Input (Input)

This property specifies the input to the Cell Data to Point Data filter.

Accepts input of following types:

  • vtkImageData
Number of levels (NumberOfLevels)

This property specifies the number of levels in the amr data structure.

2

Maximum Number of Blocks (MaximumNumberOfLevels)

This property specifies the maximum number of blocks in the output amr data structure.

100

Refinement Ratio (RefinementRatio)

This property specifies the refinement ratio between levels.

2


Image Data To Uniform Grid

Create a uniform grid from an image data by specified blanking arrays. Create a vtkUniformGrid from a vtkImageData by passing in arrays to be used for point and/or cell blanking. By default, values of 0 in the specified array will result in a point or cell being blanked. Use Reverse to switch this.


Property Description Default Value(s) Restrictions
Input (Input)

Accepts input of following types:

  • vtkImageData

The dataset must contain a field array ()

with 1 component(s).

SelectInputScalars (SelectInputScalars)

Specify the array to use for blanking.

An array of scalars is required.The value must be field array name.

Reverse (Reverse)

Reverse the array value to whether or not a point or cell is blanked.

0

Accepts boolean values (0 or 1).

Image Data to Point Set

Converts an Image Data to a Point SetThe Image Data to Point Set filter takes an image data (uniform rectilinear grid) object and outputs an equivalent structured grid (which as a type of point set). This brings the data to a broader category of data storage but only adds a small amount of overhead. This filter can be helpful in applying filters that expect or manipulate point coordinates.

Property Description Default Value(s) Restrictions
Input (Input)

Accepts input of following types:

  • vtkImageData

Image Shrink

Reduce the size of an image/volume by subsampling.The Image Shrink filter reduces the size of an image/volume dataset by subsampling it (i.e., extracting every nth pixel/voxel in integer multiples). The sbsampling rate can be set separately for each dimension of the image/volume.

Property Description Default Value(s) Restrictions
Input (Input)

This property specifies the input to the Image Shrink filter.

Accepts input of following types:

  • vtkImageData
ShrinkFactors (ShrinkFactors)

The value of this property indicates the amount by which to shrink along each axis.

1 1 1

Averaging (Averaging)

If the value of this property is 1, an average of neighborhood scalar values will be used as the output scalar value for each output point. If its value is 0, only subsampling will be performed, and the original scalar values at the points will be retained.

1

Accepts boolean values (0 or 1).

ImageResampling

Sample data attributes using a 3D image as probing mesh.

Property Description Default Value(s) Restrictions
Input (Input)

This property specifies the dataset whose data will be probed

Accepts input of following types:

  • vtkDataSet
  • vtkCompositeDataSet
SamplingDimension (SamplingDimension)

How many linear resampling we want along each axis

10 10 10

UseInputBounds (UseInputBounds)

Do we use input bounds or custom ones?

1

Accepts boolean values (0 or 1).

CustomSamplingBounds (CustomSamplingBounds)

Custom probing bounds if needed

0 1 0 1 0 1


InSituParticlePath

Trace Particle Paths through time in a vector field. The Particle Trace filter generates pathlines in a vector field from a collection of seed points. The vector field used is selected from the Vectors menu, so the input data set is required to have point-centered vectors. The Seed portion of the interface allows you to select whether the seed points for this integration lie in a point cloud or along a line. Depending on which is selected, the appropriate 3D widget (point or line widget) is displayed along with traditional user interface controls for positioning the point cloud or line within the data set. Instructions for using the 3D widgets and the corresponding manual controls can be found in section 7.4. This filter operates on any type of data set, provided it has point-centered vectors. The output is polygonal data containing polylines. This filter is available on the Toolbar.

Property Description Default Value(s) Restrictions
Restart Source (RestartSource)

Specify the restart dataset. This is optional and can be used to have particle histories that were computed previously be included in this filter's computation.

Accepts input of following types:

  • vtkDataSet
ClearCache (ClearCache)

Clear the particle cache from previous time steps.

0

Accepts boolean values (0 or 1).

FirstTimeStep (FirstTimeStep)

Set the first time step. Default is 0.

0

RestartedSimulation (RestartedSimulation)

Specify whether or not this is a restarted simulation.

0

Accepts boolean values (0 or 1).

DisableResetCache (DisableResetCache)

Prevents cache from getting reset so that new computation always start from previous results.

0

Accepts boolean values (0 or 1).

Integrate Variables

This filter integrates cell and point attributes. The Integrate Attributes filter integrates point and cell data over lines and surfaces. It also computes length of lines, area of surface, or volume.

Property Description Default Value(s) Restrictions
Input (Input)

This property specifies the input to the Integrate Attributes filter.

Accepts input of following types:

  • vtkDataSet

Interpolate to Quadrature Points

Create scalar/vector data arrays interpolated to quadrature points. "Create scalar/vector data arrays interpolated to quadrature points."

Property Description Default Value(s) Restrictions
Input (Input)

This property specifies the input of the filter.

Accepts input of following types:

  • vtkUnstructuredGrid

The dataset must contain a field array (cell)

Quadrature Scheme Def (QuadratureSchemeDefinition)

Specifies the offset array from which we interpolate values to quadrature points.

An array of scalars is required.

Intersect Fragments

The Intersect Fragments filter perform geometric intersections on sets of fragments. The Intersect Fragments filter perform geometric intersections on sets of fragments. The filter takes two inputs, the first containing fragment geometry and the second containing fragment centers. The filter has two outputs. The first is geometry that results from the intersection. The second is a set of points that is an approximation of the center of where each fragment has been intersected.

Property Description Default Value(s) Restrictions
Input (Input)

This input must contian fragment geometry.

Accepts input of following types:

  • vtkMultiBlockDataSet
Source (Source)

This input must contian fragment centers.

Accepts input of following types:

  • vtkMultiBlockDataSet
Slice Type (CutFunction)

This property sets the type of intersecting geometry, and associated parameters.

The value can be one of the following:

  • Plane (implicit_functions)
  • Box (implicit_functions)
  • Sphere (implicit_functions)


Iso Volume

This filter extracts cells by clipping cells that have point scalars not in the specified range. This filter clip away the cells using lower and upper thresholds.

Property Description Default Value(s) Restrictions
Input (Input)

This property specifies the input to the Threshold filter.

Accepts input of following types:

  • vtkDataSet

The dataset must contain a field array ()

with 1 component(s).

Input Scalars (SelectInputScalars)

The value of this property contains the name of the scalar array from which to perform thresholding.

An array of scalars is required.The value must be field array name.

Threshold Range (ThresholdBetween)

The values of this property specify the upper and lower bounds of the thresholding operation.

0 0

The value must lie within the range of the selected data array.

K Means

Compute a statistical model of a dataset and/or assess the dataset with a statistical model. This filter either computes a statistical model of a dataset or takes such a model as its second input. Then, the model (however it is obtained) may optionally be used to assess the input dataset.<p> This filter iteratively computes the center of k clusters in a space whose coordinates are specified by the arrays you select. The clusters are chosen as local minima of the sum of square Euclidean distances from each point to its nearest cluster center. The model is then a set of cluster centers. Data is assessed by assigning a cluster center and distance to the cluster to each point in the input data set.

Property Description Default Value(s) Restrictions
Input (Input)

The input to the filter. Arrays from this dataset will be used for computing statistics and/or assessed by a statistical model.

Accepts input of following types:

  • vtkImageData
  • vtkStructuredGrid
  • vtkPolyData
  • vtkUnstructuredGrid
  • vtkTable
  • vtkGraph

The dataset must contain a field array ()

ModelInput (ModelInput)

A previously-calculated model with which to assess a separate dataset. This input is optional.

Accepts input of following types:

  • vtkTable
  • vtkMultiBlockDataSet
AttributeMode (AttributeMode)

Specify which type of field data the arrays will be drawn from.

0

The value must be field array name.

Variables of Interest (SelectArrays)

Choose arrays whose entries will be used to form observations for statistical analysis.

Task (Task)

Specify the task to be performed: modeling and/or assessment. <ol> <li> "Detailed model of input data," creates a set of output tables containing a calculated statistical model of the <b>entire</b> input dataset;</li> <li> "Model a subset of the data," creates an output table (or tables) summarizing a <b>randomly-chosen subset</b> of the input dataset;</li> <li> "Assess the data with a model," adds attributes to the first input dataset using a model provided on the second input port; and</li> <li> "Model and assess the same data," is really just operations 2 and 3 above applied to the same input dataset. The model is first trained using a fraction of the input data and then the entire dataset is assessed using that model.</li> </ol> When the task includes creating a model (i.e., tasks 2, and 4), you may adjust the fraction of the input dataset used for training. You should avoid using a large fraction of the input data for training as you will then not be able to detect overfitting. The <i>Training fraction</i> setting will be ignored for tasks 1 and 3.

3

The value(s) is an enumeration of the following:

  • Detailed model of input data (0)
  • Model a subset of the data (1)
  • Assess the data with a model (2)
  • Model and assess the same data (3)
TrainingFraction (TrainingFraction)

Specify the fraction of values from the input dataset to be used for model fitting. The exact set of values is chosen at random from the dataset.

0.1

k (K)

Specify the number of clusters.

5

Max Iterations (MaxNumIterations)

Specify the maximum number of iterations in which cluster centers are moved before the algorithm terminates.

50

Tolerance (Tolerance)

Specify the relative tolerance that will cause early termination.

0.01


Legacy Glyph

This filter generates an arrow, cone, cube, cylinder, line, sphere, or 2D glyph at each point of the input data set. The glyphs can be oriented and scaled by point attributes of the input dataset. This the implementation of the Glyph filter available in ParaView version 4.1 and earlier.


Property Description Default Value(s) Restrictions
Input (Input)

This property specifies the input to the Glyph filter. This is the dataset to which the glyphs will be applied.

Accepts input of following types:

  • vtkDataSet

The dataset must contain a field array (point)

with 1 component(s).

The dataset must contain a field array (point)

with 3 component(s).

Scalars (SelectInputScalars)

This property indicates the name of the scalar array on which to operate. The indicated array may be used for scaling the glyphs. (See the SetScaleMode property.)

An array of scalars is required.

Vectors (SelectInputVectors)

This property indicates the name of the vector array on which to operate. The indicated array may be used for scaling and/or orienting the glyphs. (See the SetScaleMode and SetOrient properties.)

1

An array of vectors is required.

Glyph Type (Source)

This property determines which type of glyph will be placed at the points in the input dataset.

Accepts input of following types:

  • vtkPolyDataThe value can be one of the following:
  • ArrowSource (sources)
  • ConeSource (sources)
  • CubeSource (sources)
  • CylinderSource (sources)
  • LineSource (sources)
  • SphereSource (sources)
  • GlyphSource2D (sources)
GlyphTransform (GlyphTransform)

The values in this property allow you to specify the transform (translation, rotation, and scaling) to apply to the glyph source.

The value can be one of the following:

  • Transform2 (extended_sources)
Orient (SetOrient)

If this property is set to 1, the glyphs will be oriented based on the selected vector array.

1

Accepts boolean values (0 or 1).

Scale Mode (SetScaleMode)

The value of this property specifies how/if the glyphs should be scaled based on the point-centered scalars/vectors in the input dataset.

1

The value(s) is an enumeration of the following:

  • scalar (0)
  • vector (1)
  • vector_components (2)
  • off (3)
SetScaleFactor (SetScaleFactor)

The value of this property will be used as a multiplier for scaling the glyphs before adding them to the output.

1.0

The value must lie within the range of the selected data array.The value must lie within the range of the selected data array. The value must be less than the largest dimension of the dataset multiplied by a scale factor of 0.1.

Maximum Number of Points (MaximumNumberOfPoints)

The value of this property specifies the maximum number of glyphs that should appear in the output dataset if the value of the UseMaskPoints property is 1. (See the UseMaskPoints property.)

5000

Mask Points (UseMaskPoints)

If the value of this property is set to 1, limit the maximum number of glyphs to the value indicated by MaximumNumberOfPoints. (See the MaximumNumberOfPoints property.)

1

Accepts boolean values (0 or 1).

RandomMode (RandomMode)

If the value of this property is 1, then the points to glyph are chosen randomly. Otherwise the point ids chosen are evenly spaced.

1

Accepts boolean values (0 or 1).

KeepRandomPoints (KeepRandomPoints)

If the value of this property is 1 and RandomMode is 1, then the randomly chosen points to glyph are saved and reused for other timesteps. This is only useful if the coordinates are the same and in the same order between timesteps.

0

Accepts boolean values (0 or 1).

LegacyArbitrarySourceGlyph

This filter generates a glyph at each point of the input data set. The glyphs can be oriented and scaled by point attributes of the input dataset. The Glyph filter generates a glyph at each point in the input dataset. The glyphs can be oriented and scaled by the input point-centered scalars and vectors. The Glyph filter operates on any type of data set. Its output is polygonal. This filter is available on the Toolbar.

Property Description Default Value(s) Restrictions
Input (Input)

This property specifies the input to the Glyph filter. This is the dataset to which the glyphs will be applied.

Accepts input of following types:

  • vtkDataSet

The dataset must contain a field array (point)

with 1 component(s).

The dataset must contain a field array (point)

with 3 component(s).

Glyph Type (Source)

This property determines which type of glyph will be placed at the points in the input dataset.

Accepts input of following types:

  • vtkPolyData
Scalars (SelectInputScalars)

This property indicates the name of the scalar array on which to operate. The indicated array may be used for scaling the glyphs. (See the SetScaleMode property.)

An array of scalars is required.

Vectors (SelectInputVectors)

This property indicates the name of the vector array on which to operate. The indicated array may be used for scaling and/or orienting the glyphs. (See the SetScaleMode and SetOrient properties.)

1

An array of vectors is required.

Orient (SetOrient)

If this property is set to 1, the glyphs will be oriented based on the selected vector array.

1

Accepts boolean values (0 or 1).

Scale Mode (SetScaleMode)

The value of this property specifies how/if the glyphs should be scaled based on the point-centered scalars/vectors in the input dataset.

1

The value(s) is an enumeration of the following:

  • scalar (0)
  • vector (1)
  • vector_components (2)
  • off (3)
SetScaleFactor (SetScaleFactor)

The value of this property will be used as a multiplier for scaling the glyphs before adding them to the output.

1.0

The value must lie within the range of the selected data array.The value must lie within the range of the selected data array. The value must be less than the largest dimension of the dataset multiplied by a scale factor of 0.1.

Maximum Number of Points (MaximumNumberOfPoints)

The value of this property specifies the maximum number of glyphs that should appear in the output dataset if the value of the UseMaskPoints property is 1. (See the UseMaskPoints property.)

5000

Mask Points (UseMaskPoints)

If the value of this property is set to 1, limit the maximum number of glyphs to the value indicated by MaximumNumberOfPoints. (See the MaximumNumberOfPoints property.)

1

Accepts boolean values (0 or 1).

RandomMode (RandomMode)

If the value of this property is 1, then the points to glyph are chosen randomly. Otherwise the point ids chosen are evenly spaced.

1

Accepts boolean values (0 or 1).

KeepRandomPoints (KeepRandomPoints)

If the value of this property is 1 and RandomMode is 1, then the randomly chosen points to glyph are saved and reused for other timesteps. This is only useful if the coordinates are the same and in the same order between timesteps.

0

Accepts boolean values (0 or 1).

Level Scalars(Non-Overlapping AMR)

The Level Scalars filter uses colors to show levels of a hierarchical dataset.The Level Scalars filter uses colors to show levels of a hierarchical dataset.

Property Description Default Value(s) Restrictions
Input (Input)

This property specifies the input to the Level Scalars filter.

Accepts input of following types:

  • vtkNonOverlappingAMR

Level Scalars(Overlapping AMR)

The Level Scalars filter uses colors to show levels of a hierarchical dataset.The Level Scalars filter uses colors to show levels of a hierarchical dataset.

Property Description Default Value(s) Restrictions
Input (Input)

This property specifies the input to the Level Scalars filter.

Accepts input of following types:

  • vtkOverlappingAMR

Linear Extrusion

This filter creates a swept surface defined by translating the input along a vector.The Linear Extrusion filter creates a swept surface by translating the input dataset along a specified vector. This filter is intended to operate on 2D polygonal data. This filter operates on polygonal data and produces polygonal data output.

Property Description Default Value(s) Restrictions
Input (Input)

This property specifies the input to the Linear Extrusion filter.

Accepts input of following types:

  • vtkPolyData
ScaleFactor (ScaleFactor)

The value of this property determines the distance along the vector the dataset will be translated. (A scale factor of 0.5 will move the dataset half the length of the vector, and a scale factor of 2 will move it twice the vector's length.)

1.0

Vector (Vector)

The value of this property indicates the X, Y, and Z components of the vector along which to sweep the input dataset.

0 0 1

Capping (Capping)

The value of this property indicates whether to cap the ends of the swept surface. Capping works by placing a copy of the input dataset on either end of the swept surface, so it behaves properly if the input is a 2D surface composed of filled polygons. If the input dataset is a closed solid (e.g., a sphere), then if capping is on (i.e., this property is set to 1), two copies of the data set will be displayed on output (the second translated from the first one along the specified vector). If instead capping is off (i.e., this property is set to 0), then an input closed solid will produce no output.

1

Accepts boolean values (0 or 1).

PieceInvariant (PieceInvariant)

The value of this property determines whether the output will be the same regardless of the number of processors used to compute the result. The difference is whether there are internal polygonal faces on the processor boundaries. A value of 1 will keep the results the same; a value of 0 will allow internal faces on processor boundaries.

0

Accepts boolean values (0 or 1).

Loop Subdivision

This filter iteratively divides each triangle into four triangles. New points are placed so the output surface is smooth. The Loop Subdivision filter increases the granularity of a polygonal mesh. It works by dividing each triangle in the input into four new triangles. It is named for Charles Loop, the person who devised this subdivision scheme. This filter only operates on triangles, so a data set that contains other types of polygons should be passed through the Triangulate filter before applying this filter to it. This filter only operates on polygonal data (specifically triangle meshes), and it produces polygonal output.

Property Description Default Value(s) Restrictions
Input (Input)

This property specifies the input to the Loop Subdivision filter.

Accepts input of following types:

  • vtkPolyData
Number of Subdivisions (NumberOfSubdivisions)

Set the number of subdivision iterations to perform. Each subdivision divides single triangles into four new triangles.

1


MPIMoveData

Property Description Default Value(s) Restrictions
Input (Input)

Set the input to the MPI Move Data filter.

MoveMode (MoveMode)

Specify how the data is to be redistributed.

0

The value(s) is an enumeration of the following:

  • PassThrough (0)
  • Collect (1)
  • Clone (2)
OutputDataType (OutputDataType)

Specify the type of the dataset.

none

The value(s) is an enumeration of the following:

  • PolyData (0)
  • Unstructured Grid (4)
  • ImageData (6)

Mask Points

Reduce the number of points. This filter is often used before glyphing. Generating vertices is an option.The Mask Points filter reduces the number of points in the dataset. It operates on any type of dataset, but produces only points / vertices as output.

Property Description Default Value(s) Restrictions
Input (Input)

This property specifies the input to the Mask Points filter.

Accepts input of following types:

  • vtkDataSet
OnRatio (OnRatio)

The value of this property specifies that every OnStride-th points will be retained in the output when not using Random (the skip or stride size for point ids). (For example, if the on ratio is 3, then the output will contain every 3rd point, up to the the maximum number of points.)

2

Maximum Number of Points (MaximumNumberOfPoints)

The value of this property indicates the maximum number of points in the output dataset.

5000

Proportionally Distribute Maximum Number Of Points (ProportionalMaximumNumberOfPoints)

When this is off, the maximum number of points is taken per processor when running in parallel (total number of points = number of processors * maximum number of points). When this is on, the maximum number of points is proportionally distributed across processors depending on the number of points per processor ("total number of points" is the same as "maximum number of points" maximum number of points per processor = number of points on a processor

  • maximum number of points / total number of points across all processors

).

0

Accepts boolean values (0 or 1).

Offset (Offset)

The value of this property indicates the starting point id in the ordered list of input points from which to start masking.

0

Random Sampling (RandomMode)

If the value of this property is set to true, then the points in the output will be randomly selected from the input in various ways set by Random Mode; otherwise this filter will subsample point ids regularly.

0

Accepts boolean values (0 or 1).

Random Sampling Mode (RandomModeType)

Randomized Id Strides picks points with random id increments starting at Offset (the output probably isn't a statistically random sample). Random Sampling generates a statistically random sample of the input, ignoring Offset (fast - O(sample size)). Spatially Stratified Random Sampling is a variant of random sampling that splits the points into equal sized spatial strata before randomly sampling (slow - O(N log N)).

0

The value(s) is an enumeration of the following:

  • Randomized Id Strides (0)
  • Random Sampling (1)
  • Spatially Stratified Random Sampling (2)
GenerateVertices (GenerateVertices)

This property specifies whether to generate vertex cells as the topography of the output. If set to 1, the geometry (vertices) will be displayed in the rendering window; otherwise no geometry will be displayed.

0

Accepts boolean values (0 or 1).

SingleVertexPerCell (SingleVertexPerCell)

Tell filter to only generate one vertex per cell instead of multiple vertices in one cell.

0

Accepts boolean values (0 or 1).

Material Interface Filter

The Material Interface filter finds volumes in the input data containg material above a certain material fraction. The Material Interface filter finds voxels inside of which a material fraction (or normalized amount of material) is higher than a given threshold. As these voxels are identified surfaces enclosing adjacent voxels above the threshold are generated. The resulting volume and its surface are what we call a fragment. The filter has the ability to compute various volumetric attributes such as fragment volume, mass, center of mass as well as volume and mass weighted averages for any of the fields present. Any field selected for such computation will be also be coppied into the fragment surface's point data for visualization. The filter also has the ability to generate Oriented Bounding Boxes (OBB) for each fragment. The data generated by the filter is organized in three outputs. The "geometry" output, containing the fragment surfaces. The "statistics" output, containing a point set of the centers of mass. The "obb representaion" output, containing OBB representations (poly data). All computed attributes are coppied into the statistics and geometry output. The obb representation output is used for validation and debugging puproses and is turned off by default. To measure the size of craters, the filter can invert a volume fraction and clip the volume fraction with a sphere and/or a plane.

Property Description Default Value(s) Restrictions
Input (Input)

Input to the filter can be a hierarchical box data set containing image data or a multi-block of rectilinear grids.

Accepts input of following types:

  • vtkNonOverlappingAMR

The dataset must contain a field array (cell)

Select Material Fraction Arrays (SelectMaterialArray)

Material fraction is defined as normalized amount of material per voxel. It is expected that arrays containing material fraction data has been down converted to a unsigned char.

An array of scalars is required.

Material Fraction Threshold (MaterialFractionThreshold)

Material fraction is defined as normalized amount of material per voxel. Any voxel in the input data set with a material fraction greater than this value is included in the output data set.

0.5

InvertVolumeFraction (InvertVolumeFraction)

Inverting the volume fraction generates the negative of the material. It is useful for analyzing craters.

0

Accepts boolean values (0 or 1).

Clip Type (ClipFunction)

This property sets the type of clip geometry, and associated parameters.

The value can be one of the following:

  • None (implicit_functions)
  • Plane (implicit_functions)
  • Sphere (implicit_functions)
Select Mass Arrays (SelectMassArray)

Mass arrays are paired with material fraction arrays. This means that the first selected material fraction array is paired with the first selected mass array, and so on sequentially. As the filter identifies voxels meeting the minimum material fraction threshold, these voxel's mass will be used in fragment center of mass and mass calculation. A warning is generated if no mass array is selected for an individual material fraction array. However, in that case the filter will run without issue because the statistics output can be generated using fragments' centers computed from axis aligned bounding boxes.

An array of scalars is required.

Compute volume weighted average over: (SelectVolumeWtdAvgArray)

Specifies the arrays from which to volume weighted average. For arrays selected a volume weighted average is computed. The values of these arrays are also coppied into fragment geometry cell data as the fragment surfaces are generated.

Compute mass weighted average over: (SelectMassWtdAvgArray)

For arrays selected a mass weighted average is computed. These arrays are also coppied into fragment geometry cell data as the fragment surfaces are generated.

ComputeOBB (ComputeOBB)

Compute Object Oriented Bounding boxes (OBB). When active the result of this computation is coppied into the statistics output. In the case that the filter is built in its validation mode, the OBB's are rendered.

0

Accepts boolean values (0 or 1).

WriteGeometryOutput (WriteGeometryOutput)

If this property is set, then the geometry output is written to a text file. The file name will be coonstructed using the path in the "Output Base Name" widget.

0

Accepts boolean values (0 or 1).

WriteStatisticsOutput (WriteStatisticsOutput)

If this property is set, then the statistics output is written to a text file. The file name will be coonstructed using the path in the "Output Base Name" widget.

0

Accepts boolean values (0 or 1).

OutputBaseName (OutputBaseName)

This property specifies the base including path of where to write the statistics and gemoetry output text files. It follows the pattern "/path/to/folder/and/file" here file has no extention, as the filter will generate a unique extention.


Median

Compute the median scalar values in a specified neighborhood for image/volume datasets. The Median filter operates on uniform rectilinear (image or volume) data and produces uniform rectilinear output. It replaces the scalar value at each pixel / voxel with the median scalar value in the specified surrounding neighborhood. Since the median operation removes outliers, this filter is useful for removing high-intensity, low-probability noise (shot noise).

Property Description Default Value(s) Restrictions
Input (Input)

This property specifies the input to the Median filter.

Accepts input of following types:

  • vtkImageData

The dataset must contain a field array (point)

with 1 component(s).

SelectInputScalars (SelectInputScalars)

The value of this property lists the name of the scalar array to use in computing the median.

An array of scalars is required.

KernelSize (KernelSize)

The value of this property specifies the number of pixels/voxels in each dimension to use in computing the median to assign to each pixel/voxel. If the kernel size in a particular dimension is 1, then the median will not be computed in that direction.

1 1 1


Merge Blocks

Appends vtkCompositeDataSet leaves into a single vtkUnstructuredGrid vtkCompositeDataToUnstructuredGridFilter appends all vtkDataSet leaves of the input composite dataset to a single unstructure grid. The subtree to be combined can be choosen using the SubTreeCompositeIndex. If the SubTreeCompositeIndex is a leaf node, then no appending is required.

Property Description Default Value(s) Restrictions
Input (Input)

Set the input composite dataset.

Accepts input of following types:

  • vtkCompositeDataSet
SubTreeCompositeIndex (SubTreeCompositeIndex)

Select the index of the subtree to be appended. For now, this property is internal.

0

Merge Points (MergePoints)

1

Accepts boolean values (0 or 1).

Mesh Quality

This filter creates a new cell array containing a geometric measure of each cell's fitness. Different quality measures can be chosen for different cell shapes.This filter creates a new cell array containing a geometric measure of each cell's fitness. Different quality measures can be chosen for different cell shapes. Supported shapes include triangles, quadrilaterals, tetrahedra, and hexahedra. For other shapes, a value of 0 is assigned.

Property Description Default Value(s) Restrictions
Input (Input)

This property specifies the input to the Mesh Quality filter.

Accepts input of following types:

  • vtkDataSet
TriangleQualityMeasure (TriangleQualityMeasure)

This property indicates which quality measure will be used to evaluate triangle quality. The radius ratio is the size of a circle circumscribed by a triangle's 3 vertices divided by the size of a circle tangent to a triangle's 3 edges. The edge ratio is the ratio of the longest edge length to the shortest edge length.

2

The value(s) is an enumeration of the following:

  • Area (28)
  • Aspect Ratio (1)
  • Aspect Frobenius (3)
  • Condition (9)
  • Distortion (15)
  • Edge Ratio (0)
  • Maximum Angle (8)
  • Minimum Angle (6)
  • Scaled Jacobian (10)
  • Radius Ratio (2)
  • Relative Size Squared (12)
  • Shape (13)
  • Shape and Size (14)
QuadQualityMeasure (QuadQualityMeasure)

This property indicates which quality measure will be used to evaluate quadrilateral quality.

0

The value(s) is an enumeration of the following:

  • Area (28)
  • Aspect Ratio (1)
  • Condition (9)
  • Distortion (15)
  • Edge Ratio (0)
  • Jacobian (25)
  • Maximum Aspect Frobenius (5)
  • Maximum Aspect Frobenius (5)
  • Maximum Edge Ratio (16)
  • Mean Aspect Frobenius (4)
  • Minimum Angle (6)
  • Oddy (23)
  • Radius Ratio (2)
  • Relative Size Squared (12)
  • Scaled Jacobian (10)
  • Shape (13)
  • Shape and Size (14)
  • Shear (11)
  • Shear and Size (24)
  • Skew (17)
  • Stretch (20)
  • Taper (18)
  • Warpage (26)
TetQualityMeasure (TetQualityMeasure)

This property indicates which quality measure will be used to evaluate tetrahedral quality. The radius ratio is the size of a sphere circumscribed by a tetrahedron's 4 vertices divided by the size of a circle tangent to a tetrahedron's 4 faces. The edge ratio is the ratio of the longest edge length to the shortest edge length. The collapse ratio is the minimum ratio of height of a vertex above the triangle opposite it divided by the longest edge of the opposing triangle across all vertex/triangle pairs.

2

The value(s) is an enumeration of the following:

  • Edge Ratio (0)
  • Aspect Beta (29)
  • Aspect Gamma (27)
  • Aspect Frobenius (3)
  • Aspect Ratio (1)
  • Collapse Ratio (7)
  • Condition (9)
  • Distortion (15)
  • Jacobian (25)
  • Minimum Dihedral Angle (6)
  • Radius Ratio (2)
  • Relative Size Squared (12)
  • Scaled Jacobian (10)
  • Shape (13)
  • Shape and Size (14)
  • Volume (19)
HexQualityMeasure (HexQualityMeasure)

This property indicates which quality measure will be used to evaluate hexahedral quality.

5

The value(s) is an enumeration of the following:

  • Diagonal (21)
  • Dimension (22)
  • Distortion (15)
  • Edge Ratio (0)
  • Jacobian (25)
  • Maximum Edge Ratio (16)
  • Maximum Aspect Frobenius (5)
  • Mean Aspect Frobenius (4)
  • Oddy (23)
  • Relative Size Squared (12)
  • Scaled Jacobian (10)
  • Shape (13)
  • Shape and Size (14)
  • Shear (11)
  • Shear and Size (24)
  • Skew (17)
  • Stretch (20)
  • Taper (18)
  • Volume (19)

MinMax

Property Description Default Value(s) Restrictions
Input (Input)

Set the input to the Min Max filter.

Accepts input of following types:

  • vtkDataSet
Operation (Operation)

Select whether to perform a min, max, or sum operation on the data.

MIN

The value(s) can be one of the following:

  • MIN
  • MAX
  • SUM

Multicorrelative Statistics

Compute a statistical model of a dataset and/or assess the dataset with a statistical model. This filter either computes a statistical model of a dataset or takes such a model as its second input. Then, the model (however it is obtained) may optionally be used to assess the input dataset.<p> This filter computes the covariance matrix for all the arrays you select plus the mean of each array. The model is thus a multivariate Gaussian distribution with the mean vector and variances provided. Data is assessed using this model by computing the Mahalanobis distance for each input point. This distance will always be positive.<p> The learned model output format is rather dense and can be confusing, so it is discussed here. The first filter output is a multiblock dataset consisting of 2 tables: <ol> <li> Raw covariance data. <li> Covariance matrix and its Cholesky decomposition. </ol> The raw covariance table has 3 meaningful columns: 2 titled "Column1" and "Column2" whose entries generally refer to the N arrays you selected when preparing the filter and 1 column titled "Entries" that contains numeric values. The first row will always contain the number of observations in the statistical analysis. The next N rows contain the mean for each of the N arrays you selected. The remaining rows contain covariances of pairs of arrays.<p> The second table (covariance matrix and Cholesky decomposition) contains information derived from the raw covariance data of the first table. The first N rows of the first column contain the name of one array you selected for analysis. These rows are followed by a single entry labeled "Cholesky" for a total of N+1 rows. The second column, Mean contains the mean of each variable in the first N entries and the number of observations processed in the final (N+1) row.<p> The remaining columns (there are N, one for each array) contain 2 matrices in triangular format. The upper right triangle contains the covariance matrix (which is symmetric, so its lower triangle may be inferred). The lower left triangle contains the Cholesky decomposition of the covariance matrix (which is triangular, so its upper triangle is zero). Because the diagonal must be stored for both matrices, an additional row is required — hence the N+1 rows and the final entry of the column named "Column".

Property Description Default Value(s) Restrictions
Input (Input)

The input to the filter. Arrays from this dataset will be used for computing statistics and/or assessed by a statistical model.

Accepts input of following types:

  • vtkImageData
  • vtkStructuredGrid
  • vtkPolyData
  • vtkUnstructuredGrid
  • vtkTable
  • vtkGraph

The dataset must contain a field array ()

ModelInput (ModelInput)

A previously-calculated model with which to assess a separate dataset. This input is optional.

Accepts input of following types:

  • vtkTable
  • vtkMultiBlockDataSet
AttributeMode (AttributeMode)

Specify which type of field data the arrays will be drawn from.

0

The value must be field array name.

Variables of Interest (SelectArrays)

Choose arrays whose entries will be used to form observations for statistical analysis.

Task (Task)

Specify the task to be performed: modeling and/or assessment. <ol> <li> "Detailed model of input data," creates a set of output tables containing a calculated statistical model of the <b>entire</b> input dataset;</li> <li> "Model a subset of the data," creates an output table (or tables) summarizing a <b>randomly-chosen subset</b> of the input dataset;</li> <li> "Assess the data with a model," adds attributes to the first input dataset using a model provided on the second input port; and</li> <li> "Model and assess the same data," is really just operations 2 and 3 above applied to the same input dataset. The model is first trained using a fraction of the input data and then the entire dataset is assessed using that model.</li> </ol> When the task includes creating a model (i.e., tasks 2, and 4), you may adjust the fraction of the input dataset used for training. You should avoid using a large fraction of the input data for training as you will then not be able to detect overfitting. The <i>Training fraction</i> setting will be ignored for tasks 1 and 3.

3

The value(s) is an enumeration of the following:

  • Detailed model of input data (0)
  • Model a subset of the data (1)
  • Assess the data with a model (2)
  • Model and assess the same data (3)
TrainingFraction (TrainingFraction)

Specify the fraction of values from the input dataset to be used for model fitting. The exact set of values is chosen at random from the dataset.

0.1


Normal Glyphs

Filter computing surface normals.Filter computing surface normals.

Property Description Default Value(s) Restrictions


Octree Depth Limit

This filter takes in a octree and produces a new octree which is no deeper than the maximum specified depth level.The Octree Depth Limit filter takes in an octree and produces a new octree that is nowhere deeper than the maximum specified depth level. The attribute data of pruned leaf cells are integrated in to their ancestors at the cut level.

Property Description Default Value(s) Restrictions
Input (Input)

This property specifies the input to the Octree Depth Limit filter.

Accepts input of following types:

  • vtkHyperOctree
MaximumLevel (MaximumLevel)

The value of this property specifies the maximum depth of the output octree.

4


Octree Depth Scalars

This filter adds a scalar to each leaf of the octree that represents the leaf's depth within the tree.The vtkHyperOctreeDepth filter adds a scalar to each leaf of the octree that represents the leaf's depth within the tree.

Property Description Default Value(s) Restrictions
Input (Input)

This property specifies the input to the Octree Depth Scalars filter.

Accepts input of following types:

  • vtkHyperOctree

OrderedCompositeDistributor

Property Description Default Value(s) Restrictions
Input (Input)

Set the input to the Ordered Composite Distributor filter.

PassThrough (PassThrough)

Toggle whether to pass the data through without compositing.

0

Accepts boolean values (0 or 1).

PKdTree (PKdTree)

Set the vtkPKdTree to distribute with.

OutputType (OutputType)

When not empty, the output will be converted to the given type.


Outline

This filter generates a bounding box representation of the input.The Outline filter generates an axis-aligned bounding box for the input dataset. This filter operates on any type of dataset and produces polygonal output.

Property Description Default Value(s) Restrictions
Input (Input)

This property specifies the input to the Outline filter.

Accepts input of following types:

  • vtkDataSet

Outline Corners

This filter generates a bounding box representation of the input. It only displays the corners of the bounding box.The Outline Corners filter generates the corners of a bounding box for the input dataset. This filter operates on any type of dataset and produces polygonal output.

Property Description Default Value(s) Restrictions
Input (Input)

This property specifies the input to the Outline Corners filter.

Accepts input of following types:

  • vtkDataSet
CornerFactor (CornerFactor)

The value of this property sets the size of the corners as a percentage of the length of the corresponding bounding box edge.

0.2


Outline Curvilinear DataSet

This filter generates an outline representation of the input.The Outline filter generates an outline of the outside edges of the input dataset, rather than the dataset's bounding box. This filter operates on structured grid datasets and produces polygonal output.

Property Description Default Value(s) Restrictions
Input (Input)

This property specifies the input to the outline (curvilinear) filter.

Accepts input of following types:

  • vtkStructuredGrid

Outline Generic DataSet

This filter generates a bounding box representation of the input.The Generic Outline filter generates an axis-aligned bounding box for the input data set. The Input menu specifies the data set for which to create a bounding box. This filter operates on generic data sets and produces polygonal output.

Property Description Default Value(s) Restrictions
Input (Input)

Set the input to the Generic Outline filter.

Accepts input of following types:

  • vtkGenericDataSet

ParticlePath

Trace Particle Paths through time in a vector field. The Particle Trace filter generates pathlines in a vector field from a collection of seed points. The vector field used is selected from the Vectors menu, so the input data set is required to have point-centered vectors. The Seed portion of the interface allows you to select whether the seed points for this integration lie in a point cloud or along a line. Depending on which is selected, the appropriate 3D widget (point or line widget) is displayed along with traditional user interface controls for positioning the point cloud or line within the data set. Instructions for using the 3D widgets and the corresponding manual controls can be found in section 7.4. This filter operates on any type of data set, provided it has point-centered vectors. The output is polygonal data containing polylines. This filter is available on the Toolbar.

Property Description Default Value(s) Restrictions
Input (Input)

Specify which is the Input of the StreamTracer filter.

Accepts input of following types:

  • vtkDataObject

The dataset must contain a field array (point)

with 3 component(s).

Seed Source (Source)

Specify the seed dataset. Typically fron where the vector field integration should begin. Usually a point/radius or a line with a given resolution.

Accepts input of following types:

  • vtkDataSet
TerminationTime (TerminationTime)

Setting TerminationTime to a positive value will cause particles to terminate when the time is reached. The units of time should be consistent with the primary time variable.

0.0

TimestepValues (TimestepValues)
ForceReinjectionEveryNSteps (ForceReinjectionEveryNSteps)

When animating particles, it is nice to inject new ones every Nth step to produce a continuous flow. Setting ForceReinjectionEveryNSteps to a non zero value will cause the particle source to reinject particles every Nth step even if it is otherwise unchanged. Note that if the particle source is also animated, this flag will be redundant as the particles will be reinjected whenever the source changes anyway

0

StaticSeeds (StaticSeeds)

If the input seeds are not changing, then this can be set to 1 to avoid having to do a repeated grid search that would return the exact same result.

0

Accepts boolean values (0 or 1).

StaticMesh (StaticMesh)

If the input grid is not changing, then this can be set to 1 to avoid having to create cell locators for each update.

0

Accepts boolean values (0 or 1).

SelectInputVectors (SelectInputVectors)

Specify which vector array should be used for the integration through that filter.

An array of vectors is required.

ComputeVorticity (ComputeVorticity)

Compute vorticity and angular rotation of particles as they progress

1

Accepts boolean values (0 or 1).

Terminal Speed (TerminalSpeed)

This property specifies the terminal speed, below which particle advection/integration is terminated.

0.000000000001


ParticleTracer

Trace Particles through time in a vector field. The Particle Trace filter generates pathlines in a vector field from a collection of seed points. The vector field used is selected from the Vectors menu, so the input data set is required to have point-centered vectors. The Seed portion of the interface allows you to select whether the seed points for this integration lie in a point cloud or along a line. Depending on which is selected, the appropriate 3D widget (point or line widget) is displayed along with traditional user interface controls for positioning the point cloud or line within the data set. Instructions for using the 3D widgets and the corresponding manual controls can be found in section 7.4. This filter operates on any type of data set, provided it has point-centered vectors. The output is polygonal data containing polylines. This filter is available on the Toolbar.

Property Description Default Value(s) Restrictions
Input (Input)

Specify which is the Input of the StreamTracer filter.

Accepts input of following types:

  • vtkDataObject

The dataset must contain a field array (point)

with 3 component(s).

Seed Source (Source)

Specify the seed dataset. Typically fron where the vector field integration should begin. Usually a point/radius or a line with a given resolution.

Accepts input of following types:

  • vtkDataSet
StaticSeeds (StaticSeeds)

If the input seeds are not changing, then this can be set to 1 to avoid having to do a repeated grid search that would return the exact same result.

0

Accepts boolean values (0 or 1).

StaticMesh (StaticMesh)

If the input grid is not changing, then this can be set to 1 to avoid having to create cell locators for each update.

0

Accepts boolean values (0 or 1).

TimestepValues (TimestepValues)
ForceReinjectionEveryNSteps (ForceReinjectionEveryNSteps)

When animating particles, it is nice to inject new ones every Nth step to produce a continuous flow. Setting ForceReinjectionEveryNSteps to a non zero value will cause the particle source to reinject particles every Nth step even if it is otherwise unchanged. Note that if the particle source is also animated, this flag will be redundant as the particles will be reinjected whenever the source changes anyway

0

SelectInputVectors (SelectInputVectors)

Specify which vector array should be used for the integration through that filter.

An array of vectors is required.

ComputeVorticity (ComputeVorticity)

Compute vorticity and angular rotation of particles as they progress

1

Accepts boolean values (0 or 1).

Pass Arrays

Pass specified point and cell data arrays. The Pass Arrays filter makes a shallow copy of the output data object from the input data object except for passing only the arrays specified to the output from the input.

Property Description Default Value(s) Restrictions
Input (Input)

Accepts input of following types:

  • vtkDataObject

The dataset must contain a field array (cell)

The dataset must contain a field array (point)

The dataset must contain a field array (field)

PointDataArrays (PointDataArrays)

Add a point array by name to be passed.

CellDataArrays (CellDataArrays)

Add a cell array by name to be passed.

FieldDataArrays (FieldDataArrays)

Add a field array by name to be passed.

UseFieldTypes (UseFieldTypes)

This hidden property must always be set to 1 for this proxy to work.

1

Accepts boolean values (0 or 1).

SelectedFieldTypes (SelectedFieldTypes)

This hidden property must always be set to 0 for this proxy to work.

0 1 2

Accepts boolean values (0 or 1).

Pass Through

A simple pass-through filter that doesn't transform data in any way.


Property Description Default Value(s) Restrictions
Input (Input)

This property specifies the input to the filter.

Accepts input of following types:

  • vtkDataSet

Plot Data

Plot data arrays from the inputThis filter prepare arbitrary data to be plotted in any of the plots. By default the data is shown in a XY line plot.

Property Description Default Value(s) Restrictions
Input (Input)

The input.

Accepts input of following types:

  • vtkDataObject

Plot Global Variables Over Time

Extracts and plots data in field data over time. This filter extracts the variables that reside in a dataset's field data and are defined over time. The output is a 1D rectilinear grid where the x coordinates correspond to time (the same array is also copied to a point array named Time or TimeData (if Time exists in the input)).

Property Description Default Value(s) Restrictions
Input (Input)

The input from which the selection is extracted.

Accepts input of following types:

  • vtkDataSet

Plot On Intersection Curves

Extracts the edges in a 2D plane and plots them Extracts the surface, intersect it with a 2D plane. Plot the resulting polylines.

Property Description Default Value(s) Restrictions


Plot On Sorted Lines

The Plot on Sorted Lines filter sorts and orders polylines for graph visualization.The Plot on Sorted Lines filter sorts and orders polylines for graph visualization. See http://www.paraview.org/ParaView3/index.php/Plotting_Over_Curves for more information.

Property Description Default Value(s) Restrictions
Input (Input)

This property specifies the input to the Plot Edges filter.

Accepts input of following types:

  • vtkPolyData

Plot Over Line

Sample data attributes at the points along a line. Probed lines will be displayed in a graph of the attributes. The Plot Over Line filter samples the data set attributes of the current data set at the points along a line. The values of the point-centered variables along that line will be displayed in an XY Plot. This filter uses interpolation to determine the values at the selected point, whether or not it lies at an input point. The Probe filter operates on any type of data and produces polygonal output (a line).

Property Description Default Value(s) Restrictions


Plot Selection Over Time

Extracts selection over time and then plots it. This filter extracts the selection over time, i.e. cell and/or point variables at a cells/point selected are extracted over time The output multi-block consists of 1D rectilinear grids where the x coordinate corresponds to time (the same array is also copied to a point array named Time or TimeData (if Time exists in the input)). If selection input is a Location based selection then the point values are interpolated from the nearby cells, ie those of the cell the location lies in.

Property Description Default Value(s) Restrictions
Input (Input)

The input from which the selection is extracted.

Accepts input of following types:

  • vtkDataSet
  • vtkTable
  • vtkCompositeDataSet
Selection (Selection)

The input that provides the selection object.

Accepts input of following types:

  • vtkSelection
Only Report Selection Statistics (Only Report Selection Statistics)

If this property is set to 1, the min, max, inter-quartile ranges, and (for numeric arrays) mean and standard deviation of all the selected points or cells within each time step are reported -- instead of breaking each selected point's or cell's attributes out into separate time history tables.

1

Accepts boolean values (0 or 1).

Point Data to Cell Data

Create cell attributes by averaging point attributes.The Point Data to Cell Data filter averages the values of the point attributes of the points of a cell to compute cell attributes. This filter operates on any type of dataset, and the output dataset is the same type as the input.

Property Description Default Value(s) Restrictions
Input (Input)

This property specifies the input to the Point Data to Cell Data filter.

Accepts input of following types:

  • vtkDataSetOnce set, the input dataset cannot be changed.

The dataset must contain a field array (point)

PassPointData (PassPointData)

The value of this property controls whether the input point data will be passed to the output. If set to 1, then the input point data is passed through to the output; otherwise, only generated cell data is placed into the output.

0

Accepts boolean values (0 or 1).

PolyLine To Rectilinear Grid

Property Description Default Value(s) Restrictions
Input (Input)

Set the input to the Polyline to Rectilinear Grid filter.

Accepts input of following types:

  • vtkPolyData

Principal Component Analysis

Compute a statistical model of a dataset and/or assess the dataset with a statistical model. This filter either computes a statistical model of a dataset or takes such a model as its second input. Then, the model (however it is obtained) may optionally be used to assess the input dataset. <p> This filter performs additional analysis above and beyond the multicorrelative filter. It computes the eigenvalues and eigenvectors of the covariance matrix from the multicorrelative filter. Data is then assessed by projecting the original tuples into a possibly lower-dimensional space. <p> Since the PCA filter uses the multicorrelative filter's analysis, it shares the same raw covariance table specified in the multicorrelative documentation. The second table in the multiblock dataset comprising the model output is an expanded version of the multicorrelative version. <p> As with the multicorrlative filter, the second model table contains the mean values, the upper-triangular portion of the symmetric covariance matrix, and the non-zero lower-triangular portion of the Cholesky decomposition of the covariance matrix. Below these entries are the eigenvalues of the covariance matrix (in the column labeled "Mean") and the eigenvectors (as row vectors) in an additional NxN matrix.

Property Description Default Value(s) Restrictions
Input (Input)

The input to the filter. Arrays from this dataset will be used for computing statistics and/or assessed by a statistical model.

Accepts input of following types:

  • vtkImageData
  • vtkStructuredGrid
  • vtkPolyData
  • vtkUnstructuredGrid
  • vtkTable
  • vtkGraph

The dataset must contain a field array ()

ModelInput (ModelInput)

A previously-calculated model with which to assess a separate dataset. This input is optional.

Accepts input of following types:

  • vtkTable
  • vtkMultiBlockDataSet
AttributeMode (AttributeMode)

Specify which type of field data the arrays will be drawn from.

0

The value must be field array name.

Variables of Interest (SelectArrays)

Choose arrays whose entries will be used to form observations for statistical analysis.

Task (Task)

Specify the task to be performed: modeling and/or assessment. <ol> <li> "Detailed model of input data," creates a set of output tables containing a calculated statistical model of the <b>entire</b> input dataset;</li> <li> "Model a subset of the data," creates an output table (or tables) summarizing a <b>randomly-chosen subset</b> of the input dataset;</li> <li> "Assess the data with a model," adds attributes to the first input dataset using a model provided on the second input port; and</li> <li> "Model and assess the same data," is really just operations 2 and 3 above applied to the same input dataset. The model is first trained using a fraction of the input data and then the entire dataset is assessed using that model.</li> </ol> When the task includes creating a model (i.e., tasks 2, and 4), you may adjust the fraction of the input dataset used for training. You should avoid using a large fraction of the input data for training as you will then not be able to detect overfitting. The <i>Training fraction</i> setting will be ignored for tasks 1 and 3.

3

The value(s) is an enumeration of the following:

  • Detailed model of input data (0)
  • Model a subset of the data (1)
  • Assess the data with a model (2)
  • Model and assess the same data (3)
TrainingFraction (TrainingFraction)

Specify the fraction of values from the input dataset to be used for model fitting. The exact set of values is chosen at random from the dataset.

0.1

Normalization Scheme (NormalizationScheme)

Before the eigenvector decomposition of the covariance matrix takes place, you may normalize each (i,j) entry by sqrt( cov(i,i) * cov(j,j) ). This implies that the variance of each variable of interest should be of equal importance.

2

The value(s) is an enumeration of the following:

  • No normalization (0)
  • Normalize using covariances (3)
Basis Scheme (BasisScheme)

When reporting assessments, should the full eigenvector decomposition be used to project the original vector into the new space (Full basis), or should a fixed subset of the decomposition be used (Fixed-size basis), or should the projection be clipped to preserve at least some fixed "energy" (Fixed-energy basis)?<p> As an example, suppose the variables of interest were {A,B,C,D,E} and that the eigenvalues of the covariance matrix for these were {5,2,1.5,1,.5}. If the "Full basis" scheme is used, then all 5 components of the eigenvectors will be used to project each {A,B,C,D,E}-tuple in the original data into a new 5-components space.<p> If the "Fixed-size" scheme is used and the "Basis Size" property is set to 4, then only the first 4 eigenvector components will be used to project each {A,B,C,D,E}-tuple into the new space and that space will be of dimension 4, not 5.<p> If the "Fixed-energy basis" scheme is used and the "Basis Energy" property is set to 0.8, then only the first 3 eigenvector components will be used to project each {A,B,C,D,E}-tuple into the new space, which will be of dimension 3. The number 3 is chosen because 3 is the lowest N for which the sum of the first N eigenvalues divided by the sum of all eigenvalues is larger than the specified "Basis Energy" (i.e., (5+2+1.5)/10 = 0.85 > 0.8).

0

The value(s) is an enumeration of the following:

  • Full basis (0)
  • Fixed-size basis (1)
  • Fixed-energy basis (2)
Basis Size (BasisSize)

The maximum number of eigenvector components to use when projecting into the new space.

2

Basis Energy (BasisEnergy)

The minimum energy to use when determining the dimensionality of the new space into which the assessment will project tuples.

0.1

RobustPCA (RobustPCA)

Compute robust PCA with medians instead of means.

0

Accepts boolean values (0 or 1).

Probe Location

Sample data attributes at the points in a point cloud. The Probe filter samples the data set attributes of the current data set at the points in a point cloud. The Probe filter uses interpolation to determine the values at the selected point, whether or not it lies at an input point. The Probe filter operates on any type of data and produces polygonal output (a point cloud).

Property Description Default Value(s) Restrictions
Input (Input)

This property specifies the dataset from which to obtain probe values.

Accepts input of following types:

  • vtkDataSet
  • vtkCompositeDataSet

The dataset must contain a field array ()

Probe Type (Source)

This property specifies the dataset whose geometry will be used in determining positions to probe.

The value can be one of the following:

  • FixedRadiusPointSource (extended_sources)
PassFieldArrays (PassFieldArrays)

Set whether to pass the field-data arrays from the Input i.e. the input providing the geometry to the output. On by default.

1

Accepts boolean values (0 or 1).

ComputeTolerance (ComputeTolerance)

Set whether to compute the tolerance or to use a user provided value. On by default.

1

Accepts boolean values (0 or 1).

Tolerance (Tolerance)

Set the tolerance to use for vtkDataSet::FindCell

2.2204460492503131e-16


Process Id Scalars

This filter uses colors to show how data is partitioned across processes.The Process Id Scalars filter assigns a unique scalar value to each piece of the input according to which processor it resides on. This filter operates on any type of data when ParaView is run in parallel. It is useful for determining whether your data is load-balanced across the processors being used. The output data set type is the same as that of the input.

Property Description Default Value(s) Restrictions
Input (Input)

This property specifies the input to the Process Id Scalars filter.

Accepts input of following types:

  • vtkDataSet
RandomMode (RandomMode)

The value of this property determines whether to use random id values for the various pieces. If set to 1, the unique value per piece will be chosen at random; otherwise the unique value will match the id of the process.

0

Accepts boolean values (0 or 1).

Programmable Filter

Executes a user supplied python script on its input dataset to produce an output dataset. This filter will execute a python script to produce an output dataset. The filter keeps a copy of the python script in Script, and creates Interpretor, a python interpretor to run the script upon the first execution.

Property Description Default Value(s) Restrictions
Input (Input)

This property specifies the input(s) to the programmable filter.

Accepts input of following types:

  • vtkDataObject
OutputDataSetType (OutputDataSetType)

The value of this property determines the dataset type for the output of the programmable filter.

8

The value(s) is an enumeration of the following:

  • Same as Input (8)
  • vtkPolyData (0)
  • vtkStructuredGrid (2)
  • vtkRectilinearGrid (3)
  • vtkUnstructuredGrid (4)
  • vtkImageData (6)
  • vtkUniformGrid (10)
  • vtkMultiblockDataSet (13)
  • vtkHierarchicalBoxDataSet (15)
  • vtkTable (19)
Script (Script)

This property contains the text of a python program that the programmable filter runs.

RequestInformation Script (InformationScript)

This property is a python script that is executed during the RequestInformation pipeline pass. Use this to provide information such as WHOLE_EXTENT to the pipeline downstream.

RequestUpdateExtent Script (UpdateExtentScript)

This property is a python script that is executed during the RequestUpdateExtent pipeline pass. Use this to modify the update extent that your filter ask up stream for.

CopyArrays (CopyArrays)

If this property is set to true, all the cell and point arrays from first input are copied to the output.

0

Accepts boolean values (0 or 1).

Parameters (Parameters)
PythonPath (PythonPath)

A semi-colon (;) separated list of directories to add to the python library search path.

TimestepValues (TimestepValues)

Available timestep values.


Python Annotation

This filter evaluates a Python expression for a text annotation This filter uses Python to calculate an expression. It depends heavily on the numpy and paraview.vtk modules. To use the parallel functions, mpi4py is also necessary. The expression is evaluated and the resulting scalar value or numpy array is added to the output as an array. See numpy and paraview.vtk documentation for the list of available functions. This filter tries to make it easy for the user to write expressions by defining certain variables. The filter tries to assign each array to a variable of the same name. If the name of the array is not a valid Python variable, it has to be accessed through a dictionary called arrays (i.e. arrays['array_name']).

Property Description Default Value(s) Restrictions
Input (Input)

Set the input of the filter.

Accepts input of following types:

  • vtkDataObject
ArrayAssociation (ArrayAssociation)

Select the attribute to use to popular array names from.

2

The value(s) is an enumeration of the following:

  • Point Data (0)
  • Cell Data (1)
  • Field Data (2)
  • Row Data (6)
Expression (Expression)

The Python expression evaluated during execution. FieldData arrays are direclty available through their name. Set of provided variables [input, t_value, t_steps, t_range, t_index, FieldData, PointData, CellData] (i.e.: "Momentum: (%f, %f, %f)" % (XMOM[t_index,0], YMOM[t_index,0], ZMOM[t_index,0]) )

AnnotationValue (AnnotationValue)

Text that is used as annotation


Python Calculator

This filter evaluates a Python expressionThis filter uses Python to calculate an expression. It depends heavily on the numpy and paraview.vtk modules. To use the parallel functions, mpi4py is also necessary. The expression is evaluated and the resulting scalar value or numpy array is added to the output as an array. See numpy and paraview.vtk documentation for the list of available functions. This filter tries to make it easy for the user to write expressions by defining certain variables. The filter tries to assign each array to a variable of the same name. If the name of the array is not a valid Python variable, it has to be accessed through a dictionary called arrays (i.e. arrays['array_name']). The points can be accessed using the points variable.

Property Description Default Value(s) Restrictions
Input (Input)

Set the input of the filter.

Accepts input of following types:

  • vtkDataSet
Expression (Expression)

The Python expression evaluated during execution.

ArrayAssociation (ArrayAssociation)

This property controls the association of the output array as well as which arrays are defined as variables.

0

The value(s) is an enumeration of the following:

  • Point Data (0)
  • Cell Data (1)
ArrayName (ArrayName)

The name of the output array.

result

CopyArrays (CopyArrays)

If this property is set to true, all the cell and point arrays from first input are copied to the output.

1

Accepts boolean values (0 or 1).

Quadric Clustering

This filter is the same filter used to generate level of detail for ParaView. It uses a structured grid of bins and merges all points contained in each bin.The Quadric Clustering filter produces a reduced-resolution polygonal approximation of the input polygonal dataset. This filter is the one used by ParaView for computing LODs. It uses spatial binning to reduce the number of points in the data set; points that lie within the same spatial bin are collapsed into one representative point.

Property Description Default Value(s) Restrictions
Input (Input)

This property specifies the input to the Quadric Clustering filter.

Accepts input of following types:

  • vtkPolyData
Number of Dimensions (NumberOfDivisions)

This property specifies the number of bins along the X, Y, and Z axes of the data set.

50 50 50

UseInputPoints (UseInputPoints)

If the value of this property is set to 1, the representative point for each bin is selected from one of the input points that lies in that bin; the input point that produces the least error is chosen. If the value of this property is 0, the location of the representative point is calculated to produce the least error possible for that bin, but the point will most likely not be one of the input points.

1

Accepts boolean values (0 or 1).

UseFeatureEdges (UseFeatureEdges)

If this property is set to 1, feature edge quadrics will be used to maintain the boundary edges along processor divisions.

0

Accepts boolean values (0 or 1).

UseFeaturePoints (UseFeaturePoints)

If this property is set to 1, feature point quadrics will be used to maintain the boundary points along processor divisions.

0

Accepts boolean values (0 or 1).

CopyCellData (CopyCellData)

If this property is set to 1, the cell data from the input will be copied to the output.

1

Accepts boolean values (0 or 1).

UseInternalTriangles (UseInternalTriangles)

If this property is set to 1, triangles completely contained in a spatial bin will be included in the computation of the bin's quadrics. When this property is set to 0, the filters operates faster, but the resulting surface may not be as well-behaved.

0

Accepts boolean values (0 or 1).

Random Attributes

This filter creates a new random attribute array and sets it as the default array. The Random Attributes filter creates random attributes including scalars and vectors. These attributes can be generated as point data or cell data. The generation of each component is normalized between a user-specified minimum and maximum value.

This filter provides that capability to specify the data type of the attributes and the range for each of the components.


Property Description Default Value(s) Restrictions
Input (Input)

This property specifies the input to the Random Scalars filter.

Accepts input of following types:

  • vtkDataSet
DataType (DataType)

Specify the type of array to create (all components of this array are of this type). This holds true for all arrays that are created.

3

The value(s) is an enumeration of the following:

  • Bit (1)
  • Char (2)
  • UnsignedChar (3)
  • Short (4)
  • UnsignedShort (5)
  • Int (6)
  • UnsignedInt (7)
  • Long (8)
  • UnsignedLong (9)
  • Float (10)
  • Double (11)
ComponentRange (ComponentRange)

Set the range values (minimum and maximum) for each component. This applies to all data that is generated.

0 255

AttributesConstantPerBlock (AttributesConstantPerBlock)

Indicate that the generated attributes are constant within a block. This can be used to highlight blocks in a composite dataset.

0

Accepts boolean values (0 or 1).

GeneratePointScalars (GeneratePointScalars)

Indicate that point scalars are to be generated.

0

Accepts boolean values (0 or 1).

GeneratePointVectors (GeneratePointVectors)

Indicate that point vectors are to be generated.

0

Accepts boolean values (0 or 1).

GenerateCellScalars (GenerateCellScalars)

Indicate that point scalars are to be generated.

0

Accepts boolean values (0 or 1).

GenerateCellVectors (GenerateCellVectors)

Indicate that point vectors are to be generated.

1

Accepts boolean values (0 or 1).

Random Vectors

This filter creates a new 3-component point data array and sets it as the default vector array. It uses a random number generator to create values.The Random Vectors filter generates a point-centered array of random vectors. It uses a random number generator to determine the components of the vectors. This filter operates on any type of data set, and the output data set will be of the same type as the input.

Property Description Default Value(s) Restrictions
Input (Input)

This property specifies the input to the Random Vectors filter.

Accepts input of following types:

  • vtkDataSet
MinimumSpeed (MinimumSpeed)

This property specifies the minimum length of the random point vectors generated.

0

MaximumSpeed (MaximumSpeed)

This property specifies the maximum length of the random point vectors generated.

1


Rectilinear Data to Point Set

Converts a rectilinear grid to an equivalend structured gridThe Rectilinear Grid to Point Set filter takes an rectilinear grid object and outputs an equivalent Structured Grid (which is a type of point set). This brings the data to a broader category of data storage but only adds a small amount of overhead. This filter can be helpful in applying filters that expect or manipulate point coordinates.

Property Description Default Value(s) Restrictions
Input (Input)

Accepts input of following types:

  • vtkRectilinearGrid

Rectilinear Grid Connectivity

Parallel fragments extraction and attributes integration on rectilinear grids. Extracts material fragments from multi-block vtkRectilinearGrid datasets based on the selected volume fraction array(s) and a fraction isovalue and integrates the associated attributes.

Property Description Default Value(s) Restrictions
Input (Input)

This property specifies the input of the filter.

Accepts input of following types:

  • vtkRectilinearGrid
  • vtkCompositeDataSet

The dataset must contain a field array (cell)

with 1 component(s).

Double Volume Arrays (AddDoubleVolumeArrayName)

This property specifies the name(s) of the volume fraction array(s) for generating parts.

An array of scalars is required.

Float Volume Arrays (AddFloatVolumeArrayName)

This property specifies the name(s) of the volume fraction array(s) for generating parts.

An array of scalars is required.

Unsigned Character Volume Arrays (AddUnsignedCharVolumeArrayName)

This property specifies the name(s) of the volume fraction array(s) for generating parts.

An array of scalars is required.

Volume Fraction Value (VolumeFractionSurfaceValue)

The value of this property is the volume fraction value for the surface.

0.1


RectilinearGridGeometryFilter

Extracts geometry for a rectilinear grid. Output is a polydata dataset. RectilinearGridGeometryFilter is a filter that extracts geometry from a rectilinear grid. By specifying appropriate i-j-k indices, it is possible to extract a point, a curve, a surface, or a "volume". The volume is actually a (n x m x o) region of points. The extent specification is zero-offset. That is, the first k-plane in a 50x50x50 rectilinear grid is given by (0,49, 0,49, 0,0).

Property Description Default Value(s) Restrictions
Input (Input)

Set the input to the Rectilinear Grid Geometry filter.

Accepts input of following types:

  • vtkDataSet

ReductionFilter

Property Description Default Value(s) Restrictions
Input (Input)

Set the input to the Reduction filter.

PreGatherHelperName (PreGatherHelperName)

Set the algorithm that runs on each node in parallel.

PostGatherHelperName (PostGatherHelperName)

Set the algorithm that takes multiple inputs and produces a single reduced output.

PostGatherHelper (PostGatherHelper)
PreGatherHelper (PreGatherHelper)
PassThrough (PassThrough)

If set to a non-negative value, then produce results using only the node Id specified.

-1

GenerateProcessIds (GenerateProcessIds)

If true, the filter will generate vtkOriginalProcessIds arrays indicating the process id on which the cell/point was generated.

0

Accepts boolean values (0 or 1).

Reflect

This filter takes the union of the input and its reflection over an axis-aligned plane.The Reflect filter reflects the input dataset across the specified plane. This filter operates on any type of data set and produces an unstructured grid output.

Property Description Default Value(s) Restrictions
Input (Input)

This property specifies the input to the Reflect filter.

Accepts input of following types:

  • vtkDataSet
Plane (Plane)

The value of this property determines which plane to reflect across. If the value is X, Y, or Z, the value of the Center property determines where the plane is placed along the specified axis. The other six options (X Min, X Max, etc.) place the reflection plane at the specified face of the bounding box of the input dataset.

0

The value(s) is an enumeration of the following:

  • X Min (0)
  • Y Min (1)
  • Z Min (2)
  • X Max (3)
  • Y Max (4)
  • Z Max (5)
  • X (6)
  • Y (7)
  • Z (8)
Center (Center)

If the value of the Plane property is X, Y, or Z, then the value of this property specifies the center of the reflection plane.

0.0

CopyInput (CopyInput)

If this property is set to 1, the output will contain the union of the input dataset and its reflection. Otherwise the output will contain only the reflection of the input data.

1

Accepts boolean values (0 or 1).

Resample AMR

Converts AMR data to a uniform gridThis filter allows the user to specify a Region of Interest(ROI) within the AMR data-set and extract it as a uniform grid.

Property Description Default Value(s) Restrictions
Input (Input)

This property specifies the input for this filter.

Accepts input of following types:

  • vtkOverlappingAMR
Demand-Driven Mode (Demand-Driven Mode)

This property specifies whether the resampling filter will operate in demand-driven mode or not.

1

Accepts boolean values (0 or 1).

TransferToNodes (TransferToNodes)

This property specifies whether the solution will be transfered to the nodes of the extracted region or the cells.

1

Accepts boolean values (0 or 1).

NumberOfPartitions (NumberOfPartitions)

Set the number of subdivisions for recursive coordinate bisection.

1

Number of Samples (Number of Samples)

Sets the number of samples in each dimension

10 10 10

Min (Min)

This property sets the minimum 3-D coordinate location by which the particles will be filtered out.

0.0 0.0 0.0

Max (Max)

This property sets the minimum 3-D coordinate location by which the particles will be filtered out.

0.0 0.0 0.0


Resample With Dataset

Sample data attributes at the points of a dataset. Probe is a filter that computes point attributes at specified point positions. The filter has two inputs: the Input and Source. The 'Source' geometric structure is passed through the filter. The point attributes are computed at the 'Source' point positions by interpolating into the 'Input' data. For example, we can compute data values on a plane (plane specified as Source) from a volume (Input). The cell data of the Input data is copied to the output based on in which Input cell each Source point is. If an array of the same name exists both in Input's point and cell data, only the one from the point data is probed.

Property Description Default Value(s) Restrictions
Input (Input)

This property specifies the dataset from which to obtain probe values. The data attributes come from this dataset.

Accepts input of following types:

  • vtkDataSet
  • vtkCompositeDataSet

The dataset must contain a field array ()

Source (Source)

This property specifies the dataset whose geometry will be used in determining positions to probe. The mesh comes from this dataset.

Accepts input of following types:

  • vtkDataSet
PassCellArrays (PassCellArrays)

When set the input's cell data arrays are shallow copied to the output.

0

Accepts boolean values (0 or 1).

PassPointArrays (PassPointArrays)

When set the input's point data arrays are shallow copied to the output.

0

Accepts boolean values (0 or 1).

PassFieldArrays (PassFieldArrays)

Set whether to pass the field-data arrays from the Input i.e. the input providing the geometry to the output. On by default.

1

Accepts boolean values (0 or 1).

ComputeTolerance (ComputeTolerance)

Set whether to compute the tolerance or to use a user provided value. On by default.

1

Accepts boolean values (0 or 1).

Tolerance (Tolerance)

Set the tolernce to use for vtkDataSet::FindCell

2.2204460492503131e-16


Ribbon

This filter generates ribbon surface from lines. It is useful for displaying streamlines.The Ribbon filter creates ribbons from the lines in the input data set. This filter is useful for visualizing streamlines. Both the input and output of this filter are polygonal data. The input data set must also have at least one point-centered vector array.

Property Description Default Value(s) Restrictions
Input (Input)

This property specifies the input to the Ribbon filter.

Accepts input of following types:

  • vtkPolyData

The dataset must contain a field array (point)

with 3 component(s).

The dataset must contain a field array (point)

with 1 component(s).

Scalars (SelectInputScalars)

The value of this property indicates the name of the input scalar array used by this filter. The width of the ribbons will be varied based on the values in the specified array if the value of the Width property is 1.

An array of scalars is required.

Vectors (SelectInputVectors)

The value of this property indicates the name of the input vector array used by this filter. If the UseDefaultNormal property is set to 0, the normal vectors for the ribbons come from the specified vector array.

1

An array of vectors is required.

Width (Width)

If the VaryWidth property is set to 1, the value of this property is the minimum ribbon width. If the VaryWidth property is set to 0, the value of this property is half the width of the ribbon.

1

The value must be less than the largest dimension of the dataset multiplied by a scale factor of 0.01.

Angle (Angle)

The value of this property specifies the offset angle (in degrees) of the ribbon from the line normal.

0

UseDefaultNormal (UseDefaultNormal)

If this property is set to 0, and the input contains no vector array, then default ribbon normals will be generated (DefaultNormal property); if a vector array has been set (SelectInputVectors property), the ribbon normals will be set from the specified array. If this property is set to 1, the default normal (DefaultNormal property) will be used, regardless of whether the SelectInputVectors property has been set.

0

Accepts boolean values (0 or 1).

DefaultNormal (DefaultNormal)

The value of this property specifies the normal to use when the UseDefaultNormal property is set to 1 or the input contains no vector array (SelectInputVectors property).

0 0 1

VaryWidth (VaryWidth)

If this property is set to 1, the ribbon width will be scaled according to the scalar array specified in the SelectInputScalars property. Toggle the variation of ribbon width with scalar value.

0

Accepts boolean values (0 or 1).

Rotational Extrusion

This filter generates a swept surface while translating the input along a circular path. The Rotational Extrusion filter forms a surface by rotating the input about the Z axis. This filter is intended to operate on 2D polygonal data. It produces polygonal output.

Property Description Default Value(s) Restrictions
Input (Input)

This property specifies the input to the Rotational Extrusion filter.

Accepts input of following types:

  • vtkPolyData
Resolution (Resolution)

The value of this property controls the number of intermediate node points used in performing the sweep (rotating from 0 degrees to the value specified by the Angle property.

12

Capping (Capping)

If this property is set to 1, the open ends of the swept surface will be capped with a copy of the input dataset. This works property if the input is a 2D surface composed of filled polygons. If the input dataset is a closed solid (e.g., a sphere), then either two copies of the dataset will be drawn or no surface will be drawn. No surface is drawn if either this property is set to 0 or if the two surfaces would occupy exactly the same 3D space (i.e., the Angle property's value is a multiple of 360, and the values of the Translation and DeltaRadius properties are 0).

1

Accepts boolean values (0 or 1).

Angle (Angle)

This property specifies the angle of rotation in degrees. The surface is swept from 0 to the value of this property.

360

Translation (Translation)

The value of this property specifies the total amount of translation along the Z axis during the sweep process. Specifying a non-zero value for this property allows you to create a corkscrew (value of DeltaRadius > 0) or spring effect.

0

DeltaRadius (DeltaRadius)

The value of this property specifies the change in radius during the sweep process.

0


Scatter Plot

Creates a scatter plot from a dataset.This filter creates a scatter plot from a dataset.

Property Description Default Value(s) Restrictions
Input (Input)

This property specifies the input to the filter.

Accepts input of following types:

  • vtkDataSet

Shrink

This filter shrinks each input cell so they pull away from their neighbors.The Shrink filter causes the individual cells of a dataset to break apart from each other by moving each cell's points toward the centroid of the cell. (The centroid of a cell is the average position of its points.) This filter operates on any type of dataset and produces unstructured grid output.

Property Description Default Value(s) Restrictions
Input (Input)

This property specifies the input to the Shrink filter.

Accepts input of following types:

  • vtkDataSet
ShrinkFactor (ShrinkFactor)

The value of this property determines how far the points will move. A value of 0 positions the points at the centroid of the cell; a value of 1 leaves them at their original positions.

0.5


Slice

This filter slices a data set with a plane. Slicing is similar to a contour. It creates surfaces from volumes and lines from surfaces.This filter extracts the portion of the input dataset that lies along the specified plane. The Slice filter takes any type of dataset as input. The output of this filter is polygonal data.

Property Description Default Value(s) Restrictions
Input (Input)

This property specifies the input to the Slice filter.

Accepts input of following types:

  • vtkDataSet
Slice Type (CutFunction)

This property sets the parameters of the slice function.

The value can be one of the following:

  • Plane (implicit_functions)
  • Box (implicit_functions)
  • Sphere (implicit_functions)
  • Cylinder (implicit_functions)
InputBounds (InputBounds)
Crinkle slice (PreserveInputCells)

This parameter controls whether to extract the entire cells that are sliced by the region or just extract a triangulated surface of that region.

0

Accepts boolean values (0 or 1).

Triangulate the slice (Triangulate the slice)

This parameter controls whether to produce triangles in the output.

1

Accepts boolean values (0 or 1).

Slice Offset Values (ContourValues)

The values in this property specify a list of current offset values. This can be used to create multiple slices with different centers. Each entry represents a new slice with its center shifted by the offset value.

Determine the length of the dataset's diagonal. The value must lie within -diagonal length to +diagonal length.


Slice (demand-driven-composite)

This filter slices a data set with a plane. Slicing is similar to a contour. It creates surfaces from volumes and lines from surfaces.This filter extracts the portion of the input dataset that lies along the specified plane. The Slice filter takes any type of dataset as input. The output of this filter is polygonal data.

Property Description Default Value(s) Restrictions
Input (Input)

This property specifies the input to the Slice filter.

Accepts input of following types:

  • vtkDataObject
Slice Type (CutFunction)

This property sets the parameters of the slice function.

The value can be one of the following:

  • Plane (implicit_functions)
  • Box (implicit_functions)
  • Sphere (implicit_functions)
InputBounds (InputBounds)
Slice Offset Values (ContourValues)

The values in this property specify a list of current offset values. This can be used to create multiple slices with different centers. Each entry represents a new slice with its center shifted by the offset value.

Determine the length of the dataset's diagonal. The value must lie within -diagonal length to +diagonal length.


Slice AMR data

Slices AMR DataThis filter slices AMR data.

Property Description Default Value(s) Restrictions
Input (Input)

This property specifies the input for this filter.

Accepts input of following types:

  • vtkOverlappingAMR
ForwardUpstream (ForwardUpstream)

This property specifies whether or not requests will be propagated upstream.

0

Accepts boolean values (0 or 1).

EnablePrefetching (EnablePrefetching)

This property specifies whether or not requests pre-fetching of blocks of the next level will be enabled.

0

Accepts boolean values (0 or 1).

Level (Level)

Set maximum slice resolution.

0

OffSet (OffSet)

Set's the offset from the origin of the data-set

1.0

Normal (Normal)

This property sets the normal of the slice.

0

The value(s) is an enumeration of the following:

  • X-Normal (1)
  • Y-Normal (2)
  • Z-Normal (3)

Slice Along PolyLine

Slice along the surface defined by sweeping a polyline parallel to the z-axis. The Slice Along PolyLine filter is similar to the Slice Filter except that it slices along a surface that is defined by sweeping the input polyline parallel to the z-axis. Explained another way: take a laser cutter and move it so that it hits every point on the input polyline while keeping it parallel to the z-axis. The surface cut from the input dataset is the result.


Property Description Default Value(s) Restrictions
Dataset (Dataset)

Set the vtkDataObject to slice.

Accepts input of following types:

  • vtkDataSet
PolyLine (PolyLine)

Set the polyline to slice along.

Accepts input of following types:

  • vtkPolyData
Tolerance (Tolerance)

The threshold used internally to determine correspondence between the polyline and the output slice. If the output has sections missing, increasing this value may help.

10


Slice Generic Dataset

This filter cuts a data set with a plane or sphere. Cutting is similar to a contour. It creates surfaces from volumes and lines from surfaces.The Generic Cut filter extracts the portion of the input data set that lies along the specified plane or sphere. From the Cut Function menu, you can select whether cutting will be performed with a plane or a sphere. The appropriate 3D widget (plane widget or sphere widget) will be displayed. The parameters of the cut function can be specified interactively using the 3D widget or manually using the traditional user interface controls. Instructions for using these 3D widgets and their corresponding user interfaces are found in section 7.4. By default, the cut lies on the specified plane or sphere. Using the Cut Offset Values portion of the interface, it is also possible to cut the data set at some offset from the original cut function. The Cut Offset Values are in the spatial units of the data set. To add a single offset, select the value from the New Value slider in the Add value portion of the interface and click the Add button, or press Enter. To instead add several evenly spaced offsets, use the controls in the Generate range of values section. Select the number of offsets to generate using the Number of Values slider. The Range slider controls the interval in which to generate the offsets. Once the number of values and range have been selected, click the Generate button. The new offsets will be added to the Offset Values list. To delete a value from the Cut Offset Values list, select the value and click the Delete button. (If no value is selected, the last value in the list will be removed.) Clicking the Delete All button removes all the values in the list. The Generic Cut filter takes a generic dataset as input. Use the Input menu to choose a data set to cut. The output of this filter is polygonal data.

Property Description Default Value(s) Restrictions
Input (Input)

Set the input to the Generic Cut filter.

Accepts input of following types:

  • vtkGenericDataSet
Cut Type (CutFunction)

Set the parameters to the implicit function used for cutting.

The value can be one of the following:

  • Plane (implicit_functions)
  • Box (implicit_functions)
  • Sphere (implicit_functions)
InputBounds (InputBounds)
Slice Offset Values (ContourValues)

The values in this property specify a list of current offset values. This can be used to create multiple slices with different centers. Each entry represents a new slice with its center shifted by the offset value.

Determine the length of the dataset's diagonal. The value must lie within -diagonal length to +diagonal length.


Smooth

This filter smooths a polygonal surface by iteratively moving points toward their neighbors. The Smooth filter operates on a polygonal data set by iteratively adjusting the position of the points using Laplacian smoothing. (Because this filter only adjusts point positions, the output data set is also polygonal.) This results in better-shaped cells and more evenly distributed points. The Convergence slider limits the maximum motion of any point. It is expressed as a fraction of the length of the diagonal of the bounding box of the data set. If the maximum point motion during a smoothing iteration is less than the Convergence value, the smoothing operation terminates.

Property Description Default Value(s) Restrictions
Input (Input)

This property specifies the input to the Smooth filter.

Accepts input of following types:

  • vtkPolyData
Number of Iterations (NumberOfIterations)

This property sets the maximum number of smoothing iterations to perform. More iterations produce better smoothing.

20

Convergence (Convergence)

The value of this property limits the maximum motion of any point. It is expressed as a fraction of the length of the diagonal of the bounding box of the input dataset. If the maximum point motion during a smoothing iteration is less than the value of this property, the smoothing operation terminates.

0.0


StreakLine

Trace Streak lines through time in a vector field. The Particle Trace filter generates pathlines in a vector field from a collection of seed points. The vector field used is selected from the Vectors menu, so the input data set is required to have point-centered vectors. The Seed portion of the interface allows you to select whether the seed points for this integration lie in a point cloud or along a line. Depending on which is selected, the appropriate 3D widget (point or line widget) is displayed along with traditional user interface controls for positioning the point cloud or line within the data set. Instructions for using the 3D widgets and the corresponding manual controls can be found in section 7.4. This filter operates on any type of data set, provided it has point-centered vectors. The output is polygonal data containing polylines. This filter is available on the Toolbar.

Property Description Default Value(s) Restrictions
Input (Input)

Specify which is the Input of the StreamTracer filter.

Accepts input of following types:

  • vtkDataObject

The dataset must contain a field array (point)

with 3 component(s).

StaticSeeds (StaticSeeds)

If the input seeds are not changing, then this can be set to 1 to avoid having to do a repeated grid search that would return the exact same result.

0

Accepts boolean values (0 or 1).

StaticMesh (StaticMesh)

If the input grid is not changing, then this can be set to 1 to avoid having to create cell locators for each update.

0

Accepts boolean values (0 or 1).

Seed Source (Source)

Specify the seed dataset. Typically fron where the vector field integration should begin. Usually a point/radius or a line with a given resolution.

Accepts input of following types:

  • vtkDataSet
TerminationTime (TerminationTime)

Setting TerminationTime to a positive value will cause particles to terminate when the time is reached. The units of time should be consistent with the primary time variable.

0.0

TimestepValues (TimestepValues)
ForceReinjectionEveryNSteps (ForceReinjectionEveryNSteps)

When animating particles, it is nice to inject new ones every Nth step to produce a continuous flow. Setting ForceReinjectionEveryNSteps to a non zero value will cause the particle source to reinject particles every Nth step even if it is otherwise unchanged. Note that if the particle source is also animated, this flag will be redundant as the particles will be reinjected whenever the source changes anyway

1

SelectInputVectors (SelectInputVectors)

Specify which vector array should be used for the integration through that filter.

An array of vectors is required.

ComputeVorticity (ComputeVorticity)

Compute vorticity and angular rotation of particles as they progress

1

Accepts boolean values (0 or 1).

DisableResetCache (DisableResetCache)

Prevents cache from getting reset so that new computation always start from previous results.

0

Accepts boolean values (0 or 1).

Stream Tracer

Integrate streamlines in a vector field.The Stream Tracer filter generates streamlines in a vector field from a collection of seed points. Production of streamlines terminates if a streamline crosses the exterior boundary of the input dataset. Other reasons for termination are listed for the MaximumNumberOfSteps, TerminalSpeed, and MaximumPropagation properties. This filter operates on any type of dataset, provided it has point-centered vectors. The output is polygonal data containing polylines.

Property Description Default Value(s) Restrictions
Input (Input)

This property specifies the input to the Stream Tracer filter.

Accepts input of following types:

  • vtkDataSet

The dataset must contain a field array (any)

with 3 component(s).

Vectors (SelectInputVectors)

This property contains the name of the vector array from which to generate streamlines.

An array of vectors is required.

InterpolatorType (InterpolatorType)

This property determines which interpolator to use for evaluating the velocity vector field. The first is faster though the second is more robust in locating cells during streamline integration.

0

The value(s) is an enumeration of the following:

  • Interpolator with Point Locator (0)
  • Interpolator with Cell Locator (1)
Surface Streamlines (Surface Streamlines)

Specify whether or not to compute surface streamlines.

0

Accepts boolean values (0 or 1).

IntegrationDirection (IntegrationDirection)

This property determines in which direction(s) a streamline is generated.

2

The value(s) is an enumeration of the following:

  • FORWARD (0)
  • BACKWARD (1)
  • BOTH (2)
IntegratorType (IntegratorType)

This property determines which integrator (with increasing accuracy) to use for creating streamlines.

2

The value(s) is an enumeration of the following:

  • Runge-Kutta 2 (0)
  • Runge-Kutta 4 (1)
  • Runge-Kutta 4-5 (2)
Integration Step Unit (IntegrationStepUnit)

This property specifies the unit for Minimum/Initial/Maximum integration step size. The Length unit refers to the arc length that a particle travels/advects within a single step. The Cell Length unit represents the step size as a number of cells.

2

The value(s) is an enumeration of the following:

  • Length (1)
  • Cell Length (2)
Initial Step Length (InitialIntegrationStep)

This property specifies the initial integration step size. For non-adaptive integrators (Runge-Kutta 2 and Runge-Kutta 4), it is fixed (always equal to this initial value) throughout the integration. For an adaptive integrator (Runge-Kutta 4-5), the actual step size varies such that the numerical error is less than a specified threshold.

0.2

Minimum Step Length (MinimumIntegrationStep)

When using the Runge-Kutta 4-5 ingrator, this property specifies the minimum integration step size.

0.01

Maximum Step Length (MaximumIntegrationStep)

When using the Runge-Kutta 4-5 ingrator, this property specifies the maximum integration step size.

0.5

Maximum Steps (MaximumNumberOfSteps)

This property specifies the maximum number of steps, beyond which streamline integration is terminated.

2000

Maximum Streamline Length (MaximumPropagation)

This property specifies the maximum streamline length (i.e., physical arc length), beyond which line integration is terminated.

1.0

The value must be less than the largest dimension of the dataset multiplied by a scale factor of 1.0.

Terminal Speed (TerminalSpeed)

This property specifies the terminal speed, below which particle advection/integration is terminated.

0.000000000001

MaximumError (MaximumError)

This property specifies the maximum error (for Runge-Kutta 4-5) tolerated throughout streamline integration. The Runge-Kutta 4-5 integrator tries to adjust the step size such that the estimated error is less than this threshold.

0.000001

ComputeVorticity (ComputeVorticity)

Specify whether or not to compute vorticity.

1

Accepts boolean values (0 or 1).

Seed Type (Source)

The value of this property determines how the seeds for the streamlines will be generated.

The value can be one of the following:

  • PointSource (extended_sources)
  • HighResLineSource (extended_sources)


Stream Tracer For Generic Datasets

Integrate streamlines in a vector field.The Generic Stream Tracer filter generates streamlines in a vector field from a collection of seed points. The vector field used is selected from the Vectors menu, so the input data set is required to have point-centered vectors. The Seed portion of the interface allows you to select whether the seed points for this integration lie in a point cloud or along a line. Depending on which is selected, the appropriate 3D widget (point or line widget) is displayed along with traditional user interface controls for positioning the point cloud or line within the data set. Instructions for using the 3D widgets and the corresponding manual controls can be found in section 7.4. The Max. Propagation entry box allows you to specify the maximum length of the streamlines. From the Max. Propagation menu, you can select the units to be either Time (the time a particle would travel with steady flow) or Length (in the data set's spatial coordinates). The Init. Step Len. menu and entry specify the initial step size for integration. (For non-adaptive integrators, Runge-Kutta 2 and 4, the initial step size is used throughout the integration.) The menu allows you to specify the units. Time and Length have the same meaning as for Max. Propagation. Cell Length specifies the step length as a number of cells. The Integration Direction menu determines in which direction(s) the stream trace will be generated: FORWARD, BACKWARD, or BOTH. The Integrator Type section of the interface determines which calculation to use for integration: Runge-Kutta 2, Runge-Kutta 4, or Runge-Kutta 4-5. If Runge-Kutta 4-5 is selected, controls are displayed for specifying the minimum and maximum step length and the maximum error. The controls for specifying Min. Step Len. and Max. Step Len. are the same as those for Init. Step Len. The Runge-Kutta 4-5 integrator tries to choose the step size so that the estimated error is less than the value of the Maximum Error entry. If the integration takes more than Max. Steps to complete, if the speed goes below Term. Speed, if Max. Propagation is reached, or if a boundary of the input data set is crossed, integration terminates. This filter operates on any type of data set, provided it has point-centered vectors. The output is polygonal data containing polylines.

Property Description Default Value(s) Restrictions
Input (Input)

Set the input to the Generic Stream Tracer filter.

Accepts input of following types:

  • vtkGenericDataSet

The dataset must contain a field array (point)

with 3 component(s).

Seed Type (Source)

The value of this property determines how the seeds for the streamlines will be generated.

The value can be one of the following:

  • PointSource (extended_sources)
  • HighResLineSource (extended_sources)
Vectors (SelectInputVectors)

This property contains the name of the vector array from which to generate streamlines.

An array of vectors is required.

MaximumPropagation (MaximumPropagation)

Specify the maximum streamline length.

1.0

The value must be less than the largest dimension of the dataset multiplied by a scale factor of 1.0.

InitialIntegrationStep (InitialIntegrationStep)

Specify the initial integration step.

0.5

IntegrationDirection (IntegrationDirection)

This property determines in which direction(s) a streamline is generated.

2

The value(s) is an enumeration of the following:

  • FORWARD (0)
  • BACKWARD (1)
  • BOTH (2)
IntegratorType (IntegratorType)

This property determines which integrator (with increasing accuracy) to use for creating streamlines.

2

The value(s) is an enumeration of the following:

  • Runge-Kutta 2 (0)
  • Runge-Kutta 4 (1)
  • Runge-Kutta 4-5 (2)
MaximumError (MaximumError)

Set the maximum error allowed in the integration. The meaning of this value depends on the integrator chosen.

0.000001

MinimumIntegrationStep (MinimumIntegrationStep)

Specify the minimum integration step.

0.01

IntegrationStepUnit (IntegrationStepUnit)

Choose the unit to use for the integration step.

2

The value(s) is an enumeration of the following:

  • Time (0)
  • Length (1)
  • Cell Length (2)
MaximumIntegrationStep (MaximumIntegrationStep)

Specify the maximum integration step.

0.01

MaximumNumberOfSteps (MaximumNumberOfSteps)

Specify the maximum number of steps used in the integration.

2000

TerminalSpeed (TerminalSpeed)

If at any point the speed is below this value, the integration is terminated.

0.000000000001


Stream Tracer With Custom Source

Integrate streamlines in a vector field.The Stream Tracer filter generates streamlines in a vector field from a collection of seed points. Production of streamlines terminates if a streamline crosses the exterior boundary of the input dataset. Other reasons for termination are listed for the MaximumNumberOfSteps, TerminalSpeed, and MaximumPropagation properties. This filter operates on any type of dataset, provided it has point-centered vectors. The output is polygonal data containing polylines. This filter takes a Source input that provides the seed points.

Property Description Default Value(s) Restrictions
Input (Input)

This property specifies the input to the Stream Tracer filter.

Accepts input of following types:

  • vtkDataSet

The dataset must contain a field array (point)

with 3 component(s).

Vectors (SelectInputVectors)

This property contains the name of the vector array from which to generate streamlines.

An array of vectors is required.

Surface Streamlines (Surface Streamlines)

Specify whether or not to compute surface streamlines.

0

Accepts boolean values (0 or 1).

IntegrationDirection (IntegrationDirection)

This property determines in which direction(s) a streamline is generated.

2

The value(s) is an enumeration of the following:

  • FORWARD (0)
  • BACKWARD (1)
  • BOTH (2)
IntegratorType (IntegratorType)

This property determines which integrator (with increasing accuracy) to use for creating streamlines.

2

The value(s) is an enumeration of the following:

  • Runge-Kutta 2 (0)
  • Runge-Kutta 4 (1)
  • Runge-Kutta 4-5 (2)
Integration Step Unit (IntegrationStepUnit)

This property specifies the unit for Minimum/Initial/Maximum integration step size. The Length unit refers to the arc length that a particle travels/advects within a single step. The Cell Length unit represents the step size as a number of cells.

2

The value(s) is an enumeration of the following:

  • Length (1)
  • Cell Length (2)
Initial Step Length (InitialIntegrationStep)

This property specifies the initial integration step size. For non-adaptive integrators (Runge-Kutta 2 and Runge-Kutta 4), it is fixed (always equal to this initial value) throughout the integration. For an adaptive integrator (Runge-Kutta 4-5), the actual step size varies such that the numerical error is less than a specified threshold.

0.2

Minimum Step Length (MinimumIntegrationStep)

When using the Runge-Kutta 4-5 ingrator, this property specifies the minimum integration step size.

0.01

Maximum Step Length (MaximumIntegrationStep)

When using the Runge-Kutta 4-5 ingrator, this property specifies the maximum integration step size.

0.5

Maximum Steps (MaximumNumberOfSteps)

This property specifies the maximum number of steps, beyond which streamline integration is terminated.

2000

Maximum Streamline Length (MaximumPropagation)

This property specifies the maximum streamline length (i.e., physical arc length), beyond which line integration is terminated.

1.0

The value must be less than the largest dimension of the dataset multiplied by a scale factor of 1.0.

Terminal Speed (TerminalSpeed)

This property specifies the terminal speed, below which particle advection/integration is terminated.

0.000000000001

MaximumError (MaximumError)

This property specifies the maximum error (for Runge-Kutta 4-5) tolerated throughout streamline integration. The Runge-Kutta 4-5 integrator tries to adjust the step size such that the estimated error is less than this threshold.

0.000001

ComputeVorticity (ComputeVorticity)

Specify whether or not to compute vorticity.

1

Accepts boolean values (0 or 1).

Seed Source (Source)

This property specifies the input used to obtain the seed points.


Subdivide

This filter iteratively divide triangles into four smaller triangles. New points are placed linearly so the output surface matches the input surface. The Subdivide filter iteratively divides each triangle in the input dataset into 4 new triangles. Three new points are added per triangle -- one at the midpoint of each edge. This filter operates only on polygonal data containing triangles, so run your polygonal data through the Triangulate filter first if it is not composed of triangles. The output of this filter is also polygonal.

Property Description Default Value(s) Restrictions
Input (Input)

This parameter specifies the input to the Subdivide filter.

Accepts input of following types:

  • vtkPolyData
Number of Subdivisions (NumberOfSubdivisions)

The value of this property specifies the number of subdivision iterations to perform.

1


Surface Flow

This filter integrates flow through a surface. The flow integration fitler integrates the dot product of a point flow vector field and surface normal. It computes the net flow across the 2D surface. It operates on any type of dataset and produces an unstructured grid output.

Property Description Default Value(s) Restrictions
Input (Input)

This property specifies the input to the Surface Flow filter.

Accepts input of following types:

  • vtkDataSet

The dataset must contain a field array (point)

with 3 component(s).

SelectInputVectors (SelectInputVectors)

The value of this property specifies the name of the input vector array containing the flow vector field.

An array of vectors is required.

Surface Vectors

This filter constrains vectors to lie on a surface. The Surface Vectors filter is used for 2D data sets. It constrains vectors to lie in a surface by removing components of the vectors normal to the local surface.

Property Description Default Value(s) Restrictions
Input (Input)

This property specifies the input to the Surface Vectors filter.

Accepts input of following types:

  • vtkDataSet

The dataset must contain a field array (point)

with 3 component(s).

SelectInputVectors (SelectInputVectors)

This property specifies the name of the input vector array to process.

An array of vectors is required.

ConstraintMode (ConstraintMode)

This property specifies whether the vectors will be parallel or perpendicular to the surface. If the value is set to PerpendicularScale (2), then the output will contain a scalar array with the dot product of the surface normal and the vector at each point.

0

The value(s) is an enumeration of the following:

  • Parallel (0)
  • Perpendicular (1)
  • PerpendicularScale (2)

Table FFT

Performs the Fast Fourier Transform on the columns of a table.

Property Description Default Value(s) Restrictions
Input (Input)

This property specifies the input of the filter.

Accepts input of following types:

  • vtkTable

The dataset must contain a field array (row)

with 1 component(s).


Table To Points

Converts table to set of points.The TableToPolyData filter converts a vtkTable to a set of points in a vtkPolyData. One must specifies the columns in the input table to use as the X, Y and Z coordinates for the points in the output.

Property Description Default Value(s) Restrictions
Input (Input)

This property specifies the input..

Accepts input of following types:

  • vtkTable

The dataset must contain a field array (row)

with 1 component(s).

XColumn (XColumn)

This property specifies which data array is going to be used as the X coordinate in the generated polydata dataset.

YColumn (YColumn)

This property specifies which data array is going to be used as the Y coordinate in the generated polydata dataset.

ZColumn (ZColumn)

This property specifies which data array is going to be used as the Z coordinate in the generated polydata dataset.

2D Points (Create2DPoints)

Specify whether the points of the polydata are 3D or 2D. If this is set to true then the Z Column will be ignored and the z value of each point on the polydata will be set to 0. By default this will be off.

0

Accepts boolean values (0 or 1).

KeepAllDataArrays (KeepAllDataArrays)

Allow user to keep columns specified as X,Y,Z as Data arrays. By default this will be off.

0

Accepts boolean values (0 or 1).

Table To Structured Grid

Converts to table to structured grid.The TableToStructuredGrid filter converts a vtkTable to a vtkStructuredGrid. One must specifies the columns in the input table to use as the X, Y and Z coordinates for the points in the output, and the whole extent.

Property Description Default Value(s) Restrictions
Input (Input)

This property specifies the input..

Accepts input of following types:

  • vtkTable

The dataset must contain a field array (row)

with 1 component(s).

WholeExtent (WholeExtent)

0 0 0 0 0 0

XColumn (XColumn)

This property specifies which data array is going to be used as the X coordinate in the generated polydata dataset.

YColumn (YColumn)

This property specifies which data array is going to be used as the Y coordinate in the generated polydata dataset.

ZColumn (ZColumn)

This property specifies which data array is going to be used as the Z coordinate in the generated polydata dataset.


Temporal Cache

Saves a copy of the data set for a fixed number of time steps.The Temporal Cache can be used to save multiple copies of a data set at different time steps to prevent thrashing in the pipeline caused by downstream filters that adjust the requested time step. For example, assume that there is a downstream Temporal Interpolator filter. This filter will (usually) request two time steps from the upstream filters, which in turn (usually) causes the upstream filters to run twice, once for each time step. The next time the interpolator requests the same two time steps, they might force the upstream filters to re-evaluate the same two time steps. The Temporal Cache can keep copies of both of these time steps and provide the requested data without having to run upstream filters.

Property Description Default Value(s) Restrictions
Input (Input)

This property specifies the input of the Temporal Cache filter.

Accepts input of following types:

  • vtkDataObject
CacheSize (CacheSize)

The cache size determines the number of time steps that can be cached at one time. The maximum number is 10. The minimum is 2 (since it makes little sense to cache less than that).

2

TimestepValues (TimestepValues)


Temporal Interpolator

Interpolate between time steps.The Temporal Interpolator converts data that is defined at discrete time steps to one that is defined over a continuum of time by linearly interpolating the data's field data between two adjacent time steps. The interpolated values are a simple approximation and should not be interpreted as anything more. The Temporal Interpolator assumes that the topology between adjacent time steps does not change.

Property Description Default Value(s) Restrictions
Input (Input)

This property specifies the input of the Temporal Interpolator.

Accepts input of following types:

  • vtkDataObject
DiscreteTimeStepInterval (DiscreteTimeStepInterval)

If Discrete Time Step Interval is set to 0, then the Temporal Interpolator will provide a continuous region of time on its output. If set to anything else, then the output will define a finite set of time points on its output, each spaced by the Discrete Time Step Interval. The output will have (time range)/(discrete time step interval) time steps. (Note that the time range is defined by the time range of the data of the input filter, which may be different from other pipeline objects or the range defined in the animation inspector.) This is a useful option to use if you have a dataset with one missing time step and wish to 'file-in' the missing data with an interpolated value from the steps on either side.

0.0

TimestepValues (TimestepValues)
TimeRange (TimeRange)


Temporal Particles To Pathlines

Creates polylines representing pathlines of animating particles Particle Pathlines takes any dataset as input, it extracts the point locations of all cells over time to build up a polyline trail. The point number (index) is used as the 'key' if the points are randomly changing their respective order in the points list, then you should specify a scalar that represents the unique ID. This is intended to handle the output of a filter such as the TemporalStreamTracer.


Property Description Default Value(s) Restrictions
Input (Input)

The input cells to create pathlines for.

Accepts input of following types:

  • vtkPointSet

The dataset must contain a field array (point)

Selection (Selection)

Set a second input, which is a selection. Particles with the same Id in the selection as the primary input will be chosen for pathlines Note that you must have the same IdChannelArray in the selection as the input

Accepts input of following types:

  • vtkDataSet
MaskPoints (MaskPoints)

Set the number of particles to track as a ratio of the input. Example: setting MaskPoints to 10 will track every 10th point.

100

MaxTrackLength (MaxTrackLength)

If the Particles being traced animate for a long time, the trails or traces will become long and stringy. Setting the MaxTraceTimeLength will limit how much of the trace is displayed. Tracks longer then the Max will disappear and the trace will apppear like a snake of fixed length which progresses as the particle moves. This length is given with respect to timesteps.

25

MaxStepDistance (MaxStepDistance)

If a particle disappears from one end of a simulation and reappears on the other side, the track left will be unrepresentative. Set a MaxStepDistance{x,y,z} which acts as a threshold above which if a step occurs larger than the value (for the dimension), the track will be dropped and restarted after the step. (ie the part before the wrap around will be dropped and the newer part kept).

1.0 1.0 1.0

IdChannelArray (IdChannelArray)

Specify the name of a scalar array which will be used to fetch the index of each point. This is necessary only if the particles change position (Id order) on each time step. The Id can be used to identify particles at each step and hence track them properly. If this array is set to "Global or Local IDs", the global point ids are used if they exist or the point index is otherwise.

Global or Local IDs

An array of scalars is required.

Temporal Shift Scale

Shift and scale time values.The Temporal Shift Scale filter linearly transforms the time values of a pipeline object by applying a shift and then scale. Given a data at time t on the input, it will be transformed to time t*Shift + Scale on the output. Inversely, if this filter has a request for time t, it will request time (t-Shift)/Scale on its input.

Property Description Default Value(s) Restrictions
Input (Input)

The input to the Temporal Shift Scale filter.

Accepts input of following types:

  • vtkDataObject
PreShift (PreShift)

Apply a translation to the data before scaling. To convert T{5,100} to T{0,1} use Preshift=-5, Scale=1/95, PostShift=0 To convert T{5,105} to T{5,10} use Preshift=-5, Scale=5/100, PostShift=5

0.0

PostShift (PostShift)

The amount of time the input is shifted.

0.0

Scale (Scale)

The factor by which the input time is scaled.

1.0

Periodic (Periodic)

If Periodic is true, requests for time will be wrapped around so that the source appears to be a periodic time source. If data exists for times {0,N-1}, setting periodic to true will cause time 0 to be produced when time N, 2N, 2N etc is requested. This effectively gives the source the ability to generate time data indefinitely in a loop. When combined with Shift/Scale, the time becomes periodic in the shifted and scaled time frame of reference. Note: Since the input time may not start at zero, the wrapping of time from the end of one period to the start of the next, will subtract the initial time - a source with T{5..6} repeated periodicaly will have output time {5..6..7..8} etc.

0

Accepts boolean values (0 or 1).

PeriodicEndCorrection (PeriodicEndCorrection)

If Periodic time is enabled, this flag determines if the last time step is the same as the first. If PeriodicEndCorrection is true, then it is assumed that the input data goes from 0-1 (or whatever scaled/shifted actual time) and time 1 is the same as time 0 so that steps will be 0,1,2,3...N,1,2,3...N,1,2,3 where step N is the same as 0 and step 0 is not repeated. When this flag is false the data is assumed to be literal and output is of the form 0,1,2,3...N,0,1,2,3... By default this flag is ON

1

Accepts boolean values (0 or 1).

MaximumNumberOfPeriods (MaximumNumberOfPeriods)

If Periodic time is enabled, this controls how many time periods time is reported for. A filter cannot output an infinite number of time steps and therefore a finite number of periods is generated when reporting time.

1.0

TimestepValues (TimestepValues)


Temporal Snap-to-Time-Step

Modifies the time range/steps of temporal data. This file modifies the time range or time steps of the data without changing the data itself. The data is not resampled by this filter, only the information accompanying the data is modified.

Property Description Default Value(s) Restrictions
Input (Input)

This property specifies the input of the filter.

Accepts input of following types:

  • vtkDataObject
SnapMode (SnapMode)

Determine which time step to snap to.

0

The value(s) is an enumeration of the following:

  • Nearest (0)
  • NextBelowOrEqual (1)
  • NextAboveOrEqual (2)
TimestepValues (TimestepValues)


Temporal Statistics

Loads in all time steps of a data set and computes some statistics about how each point and cell variable changes over time.Given an input that changes over time, vtkTemporalStatistics looks at the data for each time step and computes some statistical information of how a point or cell variable changes over time. For example, vtkTemporalStatistics can compute the average value of "pressure" over time of each point. Note that this filter will require the upstream filter to be run on every time step that it reports that it can compute. This may be a time consuming operation. vtkTemporalStatistics ignores the temporal spacing. Each timestep will be weighted the same regardless of how long of an interval it is to the next timestep. Thus, the average statistic may be quite different from an integration of the variable if the time spacing varies.

Property Description Default Value(s) Restrictions
Input (Input)

Set the input to the Temporal Statistics filter.

Accepts input of following types:

  • vtkDataSet
ComputeAverage (ComputeAverage)

Compute the average of each point and cell variable over time.

1

Accepts boolean values (0 or 1).

ComputeMinimum (ComputeMinimum)

Compute the minimum of each point and cell variable over time.

1

Accepts boolean values (0 or 1).

ComputeMaximum (ComputeMaximum)

Compute the maximum of each point and cell variable over time.

1

Accepts boolean values (0 or 1).

ComputeStandardDeviation (ComputeStandardDeviation)

Compute the standard deviation of each point and cell variable over time.

1

Accepts boolean values (0 or 1).

Tensor Glyph

This filter generates an ellipsoid, cuboid, cylinder or superquadric glyph at each point of the input data set. The glyphs are oriented and scaled according to eigenvalues and eigenvectors of tensor point data of the input data set.

The Tensor Glyph filter generates an ellipsoid, cuboid, cylinder or superquadric glyph at every point in the input data set. The glyphs are oriented and scaled according to eigenvalues and eigenvectors of tensor point data of the input data set. The Tensor Glyph filter operates on any type of data set. Its output is polygonal.


Property Description Default Value(s) Restrictions
Input (Input)

This property specifies the input to the Glyph filter.

Accepts input of following types:

  • vtkDataSet

The dataset must contain a field array (point)

with 9 component(s).

The dataset must contain a field array (point)

with 1 component(s).

Tensors (SelectInputTensors)

This property indicates the name of the tensor array on which to operate. The indicated array's eigenvalues and eigenvectors are used for scaling and orienting the glyphs.

Glyph Type (Source)

This property determines which type of glyph will be placed at the points in the input dataset.

Accepts input of following types:

  • vtkPolyDataThe value can be one of the following:
  • SphereSource (sources)
  • CylinderSource (sources)
  • CubeSource (sources)
  • SuperquadricSource (sources)
ExtractEigenvalues (ExtractEigenvalues)

Toggle whether to extract eigenvalues from tensor. If false, eigenvalues/eigenvectors are not extracted and the columns of the tensor are taken as the eigenvectors (the norm of column, always positive, is the eigenvalue). If true, the glyph is scaled and oriented according to eigenvalues and eigenvectors; additionally, eigenvalues are provided as new data array.

1

Accepts boolean values (0 or 1).

ColorGlyphs (ColorGlyphs)

This property determines whether or not to color the glyphes.

1

Accepts boolean values (0 or 1).

Scalars (SelectInputScalars)

This property indicates the name of the scalar array to use for coloring

1

An array of scalars is required.

Color by (ColorMode)

This property determines whether input scalars or computed eigenvalues at the point should be used to color the glyphs. If ThreeGlyphs is set and the eigenvalues are chosen for coloring then each glyph is colored by the corresponding eigenvalue and if not set the color corresponding to the largest eigenvalue is chosen.

0

The value(s) is an enumeration of the following:

  • input scalars (0)
  • eigenvalues (1)
ScaleFactor (ScaleFactor)

This property specifies the scale factor to scale every glyph by.

1

LimitScalingByEigenvalues (LimitScalingByEigenvalues)

This property determines whether scaling of glyphs by ScaleFactor times eigenvalue should be limited. This is useful to prevent uncontrolled scaling near singularities.

0

Accepts boolean values (0 or 1).

MaxScaleFactor (MaxScaleFactor)

If scaling by eigenvalues should be limited, this value sets an upper limit for scale factor times eigenvalue.

10

Symmetric (Symmetric)

This property determines whether or not to draw a mirror of each glyph.

0

Accepts boolean values (0 or 1).

ThreeGlyphs (ThreeGlyphs)

Toggle whether to produce three glyphs, each of which oriented along an eigenvector and scaled according to the corresponding eigenvector.

0

Accepts boolean values (0 or 1).

Tessellate

Tessellate nonlinear curves, surfaces, and volumes with lines, triangles, and tetrahedra.The Tessellate filter tessellates cells with nonlinear geometry and/or scalar fields into a simplicial complex with linearly interpolated field values that more closely approximate the original field. This is useful for datasets containing quadratic cells.

Property Description Default Value(s) Restrictions
Input (Input)

This property specifies the input to the Tessellate filter.

Accepts input of following types:

  • vtkPolyData
  • vtkDataSet
  • vtkUnstructuredGrid
OutputDimension (OutputDimension)

The value of this property sets the maximum dimensionality of the output tessellation. When the value of this property is 3, 3D cells produce tetrahedra, 2D cells produce triangles, and 1D cells produce line segments. When the value is 2, 3D cells will have their boundaries tessellated with triangles. When the value is 1, all cells except points produce line segments.

3

ChordError (ChordError)

This property controls the maximum chord error allowed at any edge midpoint in the output tessellation. The chord error is measured as the distance between the midpoint of any output edge and the original nonlinear geometry.

1e-3

Field Error (FieldError2)

This proeprty controls the maximum field error allowed at any edge midpoint in the output tessellation. The field error is measured as the difference between a field value at the midpoint of an output edge and the value of the corresponding field in the original nonlinear geometry.

Maximum Number of Subdivisions (MaximumNumberOfSubdivisions)

This property specifies the maximum number of times an edge may be subdivided. Increasing this number allows further refinement but can drastically increase the computational and storage requirements, especially when the value of the OutputDimension property is 3.

3

MergePoints (MergePoints)

If the value of this property is set to 1, coincident vertices will be merged after tessellation has occurred. Only geometry is considered during the merge and the first vertex encountered is the one whose point attributes will be used. Any discontinuities in point fields will be lost. On the other hand, many operations, such as streamline generation, require coincident vertices to be merged. Toggle whether to merge coincident vertices.

1

Accepts boolean values (0 or 1).

Tessellate Generic Dataset

Tessellate a higher-order datasetTessellate a higher-order dataset.

Property Description Default Value(s) Restrictions
Input (Input)

Set the input to the Generic Tessellator filter.

Accepts input of following types:

  • vtkGenericDataSet

Tetrahedralize

This filter converts 3-d cells to tetrahedrons and polygons to triangles. The output is always of type unstructured grid.The Tetrahedralize filter converts the 3D cells of any type of dataset to tetrahedrons and the 2D ones to triangles. This filter always produces unstructured grid output.

Property Description Default Value(s) Restrictions
Input (Input)

This property specifies the input to the Tetrahedralize filter.

Accepts input of following types:

  • vtkDataSet

Texture Map to Cylinder

Generate texture coordinates by mapping points to cylinder. This is a filter that generates 2D texture coordinates by mapping input dataset points onto a cylinder. The cylinder is generated automatically. The cylinder is generated automatically by computing the axis of the cylinder. Note that the generated texture coordinates for the s-coordinate ranges from (0-1) (corresponding to angle of 0->360 around axis), while the mapping of the t-coordinate is controlled by the projection of points along the axis.

Property Description Default Value(s) Restrictions
Input (Input)

Set the input to the Texture Map to Cylinder filter.

Accepts input of following types:

  • vtkDataSet
PreventSeam (PreventSeam)

Control how the texture coordinates are generated. If Prevent Seam is set, the s-coordinate ranges from 0->1 and 1->0 corresponding to the theta angle variation between 0->180 and 180->0 degrees. Otherwise, the s-coordinate ranges from 0->1 between 0->360 degrees.

1

Accepts boolean values (0 or 1).

Texture Map to Plane

Generate texture coordinates by mapping points to plane. TextureMapToPlane is a filter that generates 2D texture coordinates by mapping input dataset points onto a plane. The plane is generated automatically. A least squares method is used to generate the plane automatically.

Property Description Default Value(s) Restrictions
Input (Input)

Set the input to the Texture Map to Plane filter.

Accepts input of following types:

  • vtkDataSet

Texture Map to Sphere

Generate texture coordinates by mapping points to sphere. This is a filter that generates 2D texture coordinates by mapping input dataset points onto a sphere. The sphere is generated automatically. The sphere is generated automatically by computing the center i.e. averaged coordinates, of the sphere. Note that the generated texture coordinates range between (0,1). The s-coordinate lies in the angular direction around the z-axis, measured counter-clockwise from the x-axis. The t-coordinate lies in the angular direction measured down from the north pole towards the south pole.

Property Description Default Value(s) Restrictions
Input (Input)

Set the input to the Texture Map to Sphere filter.

Accepts input of following types:

  • vtkDataSet
PreventSeam (PreventSeam)

Control how the texture coordinates are generated. If Prevent Seam is set, the s-coordinate ranges from 0->1 and 1->0 corresponding to the theta angle variation between 0->180 and 180->0 degrees. Otherwise, the s-coordinate ranges from 0->1 between 0->360 degrees.

1

Accepts boolean values (0 or 1).

Threshold

This filter extracts cells that have point or cell scalars in the specified range. The Threshold filter extracts the portions of the input dataset whose scalars lie within the specified range. This filter operates on either point-centered or cell-centered data. This filter operates on any type of dataset and produces unstructured grid output. To select between these two options, select either Point Data or Cell Data from the Attribute Mode menu. Once the Attribute Mode has been selected, choose the scalar array from which to threshold the data from the Scalars menu. The Lower Threshold and Upper Threshold sliders determine the range of the scalars to retain in the output. The All Scalars check box only takes effect when the Attribute Mode is set to Point Data. If the All Scalars option is checked, then a cell will only be passed to the output if the scalar values of all of its points lie within the range indicated by the Lower Threshold and Upper Threshold sliders. If unchecked, then a cell will be added to the output if the specified scalar value for any of its points is within the chosen range.

Property Description Default Value(s) Restrictions
Input (Input)

This property specifies the input to the Threshold filter.

Accepts input of following types:

  • vtkDataSet

The dataset must contain a field array ()

with 1 component(s).

Scalars (SelectInputScalars)

The value of this property contains the name of the scalar array from which to perform thresholding.

An array of scalars is required.The value must be field array name.

Threshold Range (ThresholdBetween)

The values of this property specify the upper and lower bounds of the thresholding operation.

0 0

The value must lie within the range of the selected data array.

AllScalars (AllScalars)

If the value of this property is 1, then a cell is only included in the output if the value of the selected array for all its points is within the threshold. This is only relevant when thresholding by a point-centered array.

1

Accepts boolean values (0 or 1).

UseContinuousCellRange (UseContinuousCellRange)

If off, the vertex scalars are treated as a discrete set. If on, they are treated as a continuous interval over the minimum and maximum. One important "on" use case: When setting lower and upper threshold equal to some value and turning AllScalars off, the results are cells containing the iso-surface for that value. WARNING: Whether on or off, for higher order input, the filter will not give accurate results.

0

Accepts boolean values (0 or 1).

Transform

This filter applies transformation to the polygons.The Transform filter allows you to specify the position, size, and orientation of polygonal, unstructured grid, and curvilinear data sets.

Property Description Default Value(s) Restrictions
Input (Input)

This property specifies the input to the Transform filter.

Accepts input of following types:

  • vtkPointSet
  • vtkImageData
  • vtkRectilinearGrid
Transform (Transform)

The values in this property allow you to specify the transform (translation, rotation, and scaling) to apply to the input dataset.

The value can be one of the following:

  • Transform3 (extended_sources)


Transpose Table

Transpose a table.

Property Description Default Value(s) Restrictions
Input (Input)

This property specifies the input to the filter.

Accepts input of following types:

  • vtkTable

The dataset must contain a field array (row)

with 1 component(s).

Variables of Interest (SelectArrays)

Choose arrays whose entries will be used to form observations for statistical analysis.

Add a column with original columns name (AddIdColumn)

This flag indicates if a column must be inserted at index 0 with the names (ids) of the input columns.

1

Accepts boolean values (0 or 1).

Use the column with original columns name (UseIdColumn)

This flag indicates if the output column must be named using the names listed in the index 0 column.

0

Accepts boolean values (0 or 1).

Only extract selected columns (DoNotTranspose)

This flag indicates if the sub-table must be effectively transposed or not.

0

Accepts boolean values (0 or 1).

Triangle Strips

This filter uses a greedy algorithm to convert triangles into triangle stripsThe Triangle Strips filter converts triangles into triangle strips and lines into polylines. This filter operates on polygonal data sets and produces polygonal output.

Property Description Default Value(s) Restrictions
Input (Input)

This property specifies the input to the Triangle Strips filter.

Accepts input of following types:

  • vtkPolyData
MaximumLength (MaximumLength)

This property specifies the maximum number of triangles/lines to include in a triangle strip or polyline.

1000


Triangulate

This filter converts polygons and triangle strips to basic triangles.The Triangulate filter decomposes polygonal data into only triangles, points, and lines. It separates triangle strips and polylines into individual triangles and lines, respectively. The output is polygonal data. Some filters that take polygonal data as input require that the data be composed of triangles rather than other polygons, so passing your data through this filter first is useful in such situations. You should use this filter in these cases rather than the Tetrahedralize filter because they produce different output dataset types. The filters referenced require polygonal input, and the Tetrahedralize filter produces unstructured grid output.

Property Description Default Value(s) Restrictions
Input (Input)

This property specifies the input to the Triangulate filter.

Accepts input of following types:

  • vtkPolyData

Tube

Convert lines into tubes. Normals are used to avoid cracks between tube segments.The Tube filter creates tubes around the lines in the input polygonal dataset. The output is also polygonal.

Property Description Default Value(s) Restrictions
Input (Input)

This property specifies the input to the Tube filter.

Accepts input of following types:

  • vtkPolyData

The dataset must contain a field array (point)

with 1 component(s).

The dataset must contain a field array (point)

with 3 component(s).

Scalars (SelectInputScalars)

This property indicates the name of the scalar array on which to operate. The indicated array may be used for scaling the tubes. (See the VaryRadius property.)

An array of scalars is required.

Vectors (SelectInputVectors)

This property indicates the name of the vector array on which to operate. The indicated array may be used for scaling and/or orienting the tubes. (See the VaryRadius property.)

1

An array of vectors is required.

Number of Sides (NumberOfSides)

The value of this property indicates the number of faces around the circumference of the tube.

6

Capping (Capping)

If this property is set to 1, endcaps will be drawn on the tube. Otherwise the ends of the tube will be open.

1

Accepts boolean values (0 or 1).

Radius (Radius)

The value of this property sets the radius of the tube. If the radius is varying (VaryRadius property), then this value is the minimum radius.

1.0

The value must be less than the largest dimension of the dataset multiplied by a scale factor of 0.01.

VaryRadius (VaryRadius)

The property determines whether/how to vary the radius of the tube. If varying by scalar (1), the tube radius is based on the point-based scalar values in the dataset. If it is varied by vector, the vector magnitude is used in varying the radius.

0

The value(s) is an enumeration of the following:

  • Off (0)
  • By Scalar (1)
  • By Vector (2)
  • By Absolute Scalar (3)
RadiusFactor (RadiusFactor)

If varying the radius (VaryRadius property), the property sets the maximum tube radius in terms of a multiple of the minimum radius. If not varying the radius, this value has no effect.

10

UseDefaultNormal (UseDefaultNormal)

If this property is set to 0, and the input contains no vector array, then default ribbon normals will be generated (DefaultNormal property); if a vector array has been set (SelectInputVectors property), the ribbon normals will be set from the specified array. If this property is set to 1, the default normal (DefaultNormal property) will be used, regardless of whether the SelectInputVectors property has been set.

0

Accepts boolean values (0 or 1).

DefaultNormal (DefaultNormal)

The value of this property specifies the normal to use when the UseDefaultNormal property is set to 1 or the input contains no vector array (SelectInputVectors property).

0 0 1


UpdateSuppressor2

Property Description Default Value(s) Restrictions
Input (Input)

Set the input to the Update Suppressor filter.

Enabled (Enabled)

Toggle whether the update suppressor is enabled.

1

Accepts boolean values (0 or 1).

UpdateTime (UpdateTime)

none


Warp By Scalar

This filter moves point coordinates along a vector scaled by a point attribute. It can be used to produce carpet plots. The Warp (scalar) filter translates the points of the input data set along a vector by a distance determined by the specified scalars. This filter operates on polygonal, curvilinear, and unstructured grid data sets containing single-component scalar arrays. Because it only changes the positions of the points, the output data set type is the same as that of the input. Any scalars in the input dataset are copied to the output, so the data can be colored by them.

Property Description Default Value(s) Restrictions
Input (Input)

This property specifies the input to the Warp (scalar) filter.

Accepts input of following types:

  • vtkPointSet
  • vtkImageData
  • vtkRectilinearGrid

The dataset must contain a field array (point)

with 1 component(s).

Scalars (SelectInputScalars)

This property contains the name of the scalar array by which to warp the dataset.

An array of scalars is required.

ScaleFactor (ScaleFactor)

The scalar value at a given point is multiplied by the value of this property to determine the magnitude of the change vector for that point.

1.0

Normal (Normal)

The values of this property specify the direction along which to warp the dataset if any normals contained in the input dataset are not being used for this purpose. (See the UseNormal property.)

0 0 1

UseNormal (UseNormal)

If point normals are present in the dataset, the value of this property toggles whether to use a single normal value (value = 1) or the normals from the dataset (value = 0).

0

Accepts boolean values (0 or 1).

XY Plane (XYPlane)

If the value of this property is 1, then the Z-coordinates from the input are considered to be the scalar values, and the displacement is along the Z axis. This is useful for creating carpet plots.

0

Accepts boolean values (0 or 1).

Warp By Vector

This filter displaces point coordinates along a vector attribute. It is useful for showing mechanical deformation. The Warp (vector) filter translates the points of the input dataset using a specified vector array. The vector array chosen specifies a vector per point in the input. Each point is translated along its vector by a given scale factor. This filter operates on polygonal, curvilinear, and unstructured grid datasets. Because this filter only changes the positions of the points, the output dataset type is the same as that of the input.

Property Description Default Value(s) Restrictions
Input (Input)

This property specifies the input to the Warp (vector) filter.

Accepts input of following types:

  • vtkPointSet
  • vtkImageData
  • vtkRectilinearGrid

The dataset must contain a field array (point)

with 3 component(s).

Vectors (SelectInputVectors)

The value of this property contains the name of the vector array by which to warp the dataset's point coordinates.

An array of vectors is required.

ScaleFactor (ScaleFactor)

Each component of the selected vector array will be multiplied by the value of this property before being used to compute new point coordinates.

1.0


Youngs Material Interface

Computes linear material interfaces in 2D or 3D mixed cells produced by eulerian or ALE simulation codes Computes linear material interfaces in 2D or 3D mixed cells produced by Eulerian or ALE simulation codes

Property Description Default Value(s) Restrictions
Input (Input)

Accepts input of following types:

  • vtkCompositeDataSet

The dataset must contain a field array (cell)

with 1 component(s).

The dataset must contain a field array (cell)

with 3 component(s).

InverseNormal (InverseNormal)

0

Accepts boolean values (0 or 1).

ReverseMaterialOrder (ReverseMaterialOrder)

0

Accepts boolean values (0 or 1).

OnionPeel (OnionPeel)

1

Accepts boolean values (0 or 1).

AxisSymetric (AxisSymetric)

1

Accepts boolean values (0 or 1).

FillMaterial (FillMaterial)

1

Accepts boolean values (0 or 1).

UseFractionAsDistance (UseFractionAsDistance)

0

Accepts boolean values (0 or 1).

VolumeFractionRange (VolumeFractionRange)

0.01 0.99

NumberOfDomainsInformation (NumberOfDomainsInformation)
VolumeFractionArrays (VolumeFractionArrays)

An array of scalars is required.

NormalArrays (NormalArrays)

An array of vectors is required.The value must be field array name.

OrderingArrays (OrderingArrays)

An array of scalars is required.The value must be field array name.