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This chapter covers different mechanisms in ParaView for visualizing data. Through these visualizations, users are able to gain unique insight on their data.
=Understanding Views=
When the ParaView application starts up, you see a 3D viewport with
an axes at the center. This is a ''view''. In ParaView, views are frames in
which the data can be seen. There are different types of views. The default
view that shows up is a ''3D view'' which shows rendering of the geometry
extracted from the data or volumes or slices in a 3D scene. You can change the
default view in the Settings dialog ('''Edit''' | Settings (in case of Mac OS X,
'''ParaView''' | Preferences)).
[[Image:ParaViewDisplayingDataFigure1.png|thumb|center|600px|'''Figure 4.1''' ParaView view screen]]
There may be parameters that are available to the user that control how the data
is displayed e.g. in case of 3D view, the data can be displayed as wireframes or
surfaces, where the user selects the color of the surface or uses a scalar for
coloring etc. All these options are known as Display properties and are
accessible from the Display tab in the Object Inspector.
Since there can be multiple datasets shown in a view, as well as multiple views,
the Display tabs shows the properties for the active pipeline object
(changed by using the Pipeline Browser, for example) in the active view.
==Multiple Views==
ParaView supports showing multiple views side by side. To create multiple views,
use the controls in the top right corner of the view to split the frame
vertically or horizontally. You can also maximize a particular view to
temporarily hide other views. Once a view-frame is split, you will see a list of
buttons showing the different types of views that you can create to place in
that view. Simply click the button to create the view of your choice.
[[Image:ParaViewDisplayingDataFigure2.png|thumb|center|600px|'''Figure 4.2''' View options in ParaView]]
Some filters, such as Plot Over Line may automatically split the view
frame and show the data in a particular type of view suitable for the data
generated by the filter.
==Active View==
Once you have multiple views, the active view is indicated by a colored border
around the view frame. Several menus as well as toolbar buttons affect the
active view alone. Additionally, they may become enabled/disabled based on whether that
corresponding action is supported by the active view.
The Display tab affects the active view. Similarly, the eye icon in
the Pipeline Browser, next to the pipeline objects, indicates the visibility
state for that object in the active view.
When a new filter, source or reader is created, if possible it will be displayed by
default in the active view, otherwise, if will create a new view.
=Types of Views=
This section covers the different types of views available in
ParaView. For each view, we will talk about the controls available to change the
view parameters using View Settings as well as the parameters associated
with the '''Display Tab''' for showing data in that view.
==3D View==
3D view is used to show the surface or volume rendering for the data in a 3D
world. This is the most commonly used view type.
When running in client-server mode, 3D view can render data either by bringing
the geometry to the client and then rendering it there or by rendering it on the
server (possibly in parallel) and then delivering the composited images to the
client. Refer to the '''Client-Server Visualization''' chapter for details.
Interacting with the 3D view will typically update the camera. This makes it
possible to explore the visualization scene. The default buttons are shown in Table 4.1 and
they can be changed using the Application Settings dialog.
{| style="background-color:#ffffcc;" cellpadding="10" cellspacing="0" border="1"
|+'''Table 4.1'''
!Left Button
!Middle Button
!Right Button
This view supports selection. You can select cells or points either on the
surface or those within a frustum. Selecting cells or points makes it possible
to extract those for further inspection or to label them. Details about data
querying and selection can be found the Quantitative analysis chapter.
===View Settings===
The View Settings dialog is accessible through the '''Edit''' | View Settings menu or the
tool button in the left corner of the view can be used to change the view settings
per view.
[[Image:ViewSettingsGeneral.png|thumb|center|400px|'''Figure 4.3''' General tab in the View Settings menu]]
The General tab allows the user to choose the background color. You can use a solid
color, gradient or a background image.
By default the camera uses perspective projection. To switch to parallel
projection, check the Use Parallel Projection checkbox in this panel.
[[Image:ViewSettingsLights.png|thumb|center|400px|'''Figure 4.4''' Lights tab in the View Settings menu ]]
The 3D View requires lights to illumniate the geometry being rendered in the
scene. You can control these lights using this pane.
[[Image:ViewSettingsAnnotation.png|thumb|center|400px|'''Figure 4.5''' Annotation tab in the View Settings menu]]
The annotation pane enables control of the visibility of the center axes and
the orientation widget. Users can also make the orientation widget interactive so that they can manually place the widget at location of their liking.
===Display Properties===
Users can control how the data from any source or filter is shown in this view
using the Display tab. This section covers the various options
available to a user for controlling appearance of the rendering in the 3D view.
The View menu has three options for controlling how the data is viewed. These are described in Table 4.2.
[[Image:3DViewDisplayView.png|thumb|center|400px|'''Figure 4.6''' View menu]]
{| style="background-color:#ffffcc;" cellpadding="10" cellspacing="0" border="1"
|+''' Table 4.2'''
| Visible
| Checkbox used to toggle the visibility of the data in the view. If it disabled, it implies that the data cannot be shown in this view.
| Selectable
| Checkbox used to toggle whether the data gets selected when using the selection mechanism for selecting and sub-setting data.
| Zoom to Data
| Click this button to zoom the camera so that the dataset is completely fits within the viewport.
[[Image:3DViewDisplayColor.png|thumb|center|400px|'''Figure 4.7''' Color options]]
The color group allows users to pick the scalar to color with or set a fixed
solid color for the rendering. The options in Figure 4.7 are described in detail in Table 4.3
{| style="background-color:#ffffcc;" cellpadding="10" cellspacing="0" border="1"
|+'''Table 4.3'''
| Interpolate Scalars
| If selected, the scalars will be interpolated within polygons and the scalar mapping happens on a per pixel basis. If not selected, then color mapping happens at points and colors are interpolated which is typically less accurate. This only affects when coloring with point arrays and has no effect otherwise. This is disabled when coloring using a solid color.
| Map Scalars
| If the data array can be directly interpreted as colors, then you can uncheck this to not use any lookup table. Otherwise, when selected, a lookup table will be used to map scalars to colors. This is disabled when the array is not of a type that can be interpreted as colors (i.e. vtkUnsignedCharArray).
| Apply Texture
| This feature makes it possible to apply a texture over the surface. This requires that the data has texture coordinates. You can use filters like Texture Map to Sphere, Texture Map to Cylinder or Texture Map to Plane to generate texture coordinates when they are not present in the data. To load a texture, select Load from the combo box which will pop up a dialog allowing you to choose an image. Otherwise, select from already loaded textures listed in the combo box.
| Color By
| This feature enables coloring of the surface/volume. Either choose the array to color with or set the solid color to use. When volume rendering, solid coloring is not possible, you must choose the data array to volume render with.
| Set solid color
| Used to set the solid color. This is available only when Color By is set to use Solid Color. ParaView defines a notion of a color palette consisting of different color categories. To choose a color from one of these predefined categories, click the arrow next to this button. It will open up a drop down with options to choose from. If you use a color from the palette, it is possible to globally change the color by changing the color palette e.g. for printing or for display on screen etc.
| Edit Color Map...
| You can edit the color map or lookup table by clicking the Edit Color Map button. It is only shown when an array is chosen in the Color By combo-box.
[[Image:3DViewDisplaySlice.png|thumb|center|400px|'''Figure 4.8''' Slice options]]
The slice controls are available only for image datasets (uniform rectilinear grids) when the representation type is Slice. The representation type is
controlled using the ''Style'' group on the Display tab.
These allow the user to pick the slice direction as well as the slice
[[Image:3DViewDisplayCubeAxes.png|thumb|center|400px|'''Figure 4.9''' Annotation options]]
Cube axes is an annotation box that can be used to show a scale around the
dataset. Use the Show cube axes checkbox to toggle its visibility. You can
further control the apperance of the cube axes by clicking Edit once the
cube-axes is visible.
[[Image:ParaViewDisplayingDataCubeAxes.png|thumb|center|300px|'''Figure 4.10''' Show cube axes example]]
Figure 4.11 shows the Style dialog box. The options in this dialog box are described in detail in Table 4.4 below.
[[Image:3DViewDisplayStyle.png|thumb|center|400px|'''Figure 4.11''' Sytle dialog box]]
{| style="background-color:#ffffcc;" cellpadding="10" cellspacing="0" border="1"
|+'''Table 4.4'''
| Representation
| Use this to change how the data is represented i.e. as a surface, volume,
wireframe, points, or surface with edges.
| Interpolation
| Choose the method used to shade the geometry and interpolate point attributes.
| Point Size
| If your dataset contains points or vertices, this adjusts the diameter of the rendered points. It also affects the point size when Representation is Points.
| Line width
| If your dataset contains lines or edges, this scale adjusts the width of the rendered lines. It also affects the rendered line width when Representation is Wireframe or Surface With Edges.
| Opacity
| Set the opacity of the dataset's geometry. ParaView uses hardware-assisted depth peeling, whenever possible, to remove artifacts due to incorrect sorting order of rendered primitives.
| Volume Mapper
| When Representation is Volume, this combo box allows the user to choose a specific volume rendering technique. The techniques available change based on the type of the dataset.
| Set Edge Color
| This is available when Representation is Surface with Edges. It allows the user to pick the color to use for the edges rendered over the surface.
====Backface Style====
[[Image:3DViewDisplayBackface.png|thumb|center|400px|'''Figure 4.12''' Backface Style dialog box]]
The Backface Style dialog box allows the user to define backface properties. In computer graphics, backface refers to the face of a geometric primitive with the normal point away from the camera. Users can choose to hide the backface or front face, or specify different characteristics for the two faces using these settings.
[[Image:3DViewDisplayTransform.png|thumb|center|400px|'''Figure 4.13''' Transformation dialog box]]
These settings allow the user to transform the rendered geometry, without actually transforming the data. Note that since this transformation happens during rendering, any filters that you apply to this data source will still be working on the original, untransformed data. Use the Transform filter if you want to transform the data instead.
==2D View==
2D View is similar to 3D view except that it can only show slices from uniform
grid datasets i.e. volume datasets or image datasets.
The interaction is also limited to a 2D plane and so rotation is not available. Currently this view does not support selection, which will be supported in future releases.
When you load a 2D image, ParaView by default creates this view.
Since this view is same as the 3D view, it has the same features in regards to client-server and parallel rendering.
Interactions with this view update the camera.  The default buttons are described in Table 4.5 and can be changed using the Application Settings dialog.
{| style="background-color:#ffffcc;" cellpadding="10" cellspacing="0" border="1"
|+'''Table 4.5'''
!Left Button
!Middle Button
!Right Button
Unlike 3D view, this view does not currently support selection. However, that support will be added in future releases.
===View Settings===
The view settings dialog is accessible through the '''Edit''' | View Settings menu or the tool button in the left corner of the view.
[[File:ParaViewUsersGuide2DViewSettings.png|thumb|center|300px|'''Figure 4.14''' View settings dialog for the 2D View]]
In 2D view options, the user can change the background color and toggle the visibility of the axes-box, as in Figure 4.14.
[[File:ParaViewUsersGuide2DViewAxes.png|thumb|center|300px|'''Figure 4.15''' 2D View showing the axes-box]]
===Display Properties===
The display tab for this view is same as the 3D view, except that some options may be unavailable such as changing of representation type.
==Spreadsheet View==
Spreadsheet View is used to inspect the raw data in a spreadsheet. When running
in client-server mode, to avoid delivering the entire dataset to the client for
displaying in the spreadsheet (since the data can be very large), this view streams
only visible chunks of the data to the client. As the user scrolls around the
spreadsheet, new data chunks are fetched.
Unlike some other views, this view can only show one dataset at a time. For
composite datasets, it shows only one block at a time. You can select the block
to show using the Display tab.
In regards to usability, this view behaves like typical spreadsheets shown in applications like Microsoft Excel or Apple Pages:
* You can scroll up and down to inspect new rows.
* You can sort any column by clicking on the header for the column. Repeated clicking on the column header toggles the sorting order. When running in parallel, ParaView uses sophisticated parallel sorting algorithms to avoid memory and communication overheads to sort large, distributed datasets.
* You can double-click on a column header to toggle a mode in which only that column is visible. This reduces clutter when you are interested in a single attribute array.
* You can click on rows to select the corresponding elements i.e. cells or points. This is not available when in "Show selected only mode." Also, when you create a selection in other views e.g. the 3D view, the rows corresponding to the selected elements will be highlighted.
Unlike other views, Spreadsheet View has a header. This header provides quick access to some of the commonly used functionality in this view.
[[File:ParaViewUsersGuideSpreadsheetViewHeader.png|thumb|center|400px|'''Figure 4.16''' Spreadsheet View Header]]
Since this view can only show one dataset at a time, you can quickly choose the dataset to show using the Showing combo box. You can choose the attribute type i.e. point attributes, cell attributes, to display using the Attribute combo box. The Precision option controls the number of digits to show after decimal point for floating point numbers. Lastly, the last button allows the user to enter the view in a mode where it only shows the selected rows. This is useful when you create a selection using another view such as the 3D view and want to inspect the details for the selected cells or points.
===View Settings===
Currently, no user settable settings are available for this view.
===Display Properties===
[[File:ParaViewUsersGuideSpreadsheetView2.png|thumb|center|300px|'''Figure 4.17''' Display tab in the Object Inspector]]
The display properties for this view provide the same functionality as the header. Additionally, when dealing with composite datasets, the display tab shows a widget allowing the user to choose the block to display in the view.
==Line Chart View==
A traditional 2D line plot is often the best option to show trends in small quantities of data. A line plot is also a good choice to examine relationships between different data values that vary over the same domain.
Any reader, source, or filter that produces plottable data can be displayed in an XY plot view. ParaView stores its plotable data in a table (vtkTable). Using the display properties, users can choose which columns in the table must be plotted on the X and Y axes.
As with the other view types, what is displayed in the active XY plot view is displayed by and controllable with the eye icons in the Pipeline Browser panel. When an XY plot view is active, only those filters that produce plotable output have eye icons.
The XY plot view is the preferred view type for the Plot over Line, Plot Point over Time, Plot Cell over Time, Plot Field Variable over Time, and Probe Location over Time filters. Creating any one of these filters will automatically create an XY plot view for displaying its output. Figure 4.18 shows a plot of the data values within a volume as they vary along three separate paths. The top curve comes from the line running across the center of the volume, where the largest values lie. The other two curves come from lines running near the edges of the volume.
Unlike the 3D and 2D render view, the charting views are client-side views i.e. they deliver the data to be plotted to the client. Hence ParaView only allows results from some standard filters such as Plot over Line in the line chart view by default. However it is also possible to plot cell or point data arrays for any dataset by apply the Plot Data filter.
[[Image:ParaViewUsersGuideLineChartView.png|thumb|center|400px|'''Figure 4.18''' Plot of data values within a volume]]
The line chart view supports the following interaction modes:
* ''Right-click'' and ''drag'' to pan
* ''Left-click'' and ''drag'' to select
* ''Middle-click'' and ''drag'' to zoom to region drawn.
* ''Hover'' over any line in the plot to see the details for the data at that location.
To reset the view, use the Reset Camera button in the Camera Toolbar.
===View Settings===
The '''View Settings''' for Line Chart enable the user to control the appearance of the chart including titles, axes positions etc. There are several pages available in this dialog. The '''General''' page controls the overall appearance of the chart, while the other pages controls the appearance of each of the axes.
====General Settings Page====
[[Image:ParaViewUsersGuideChartSettingsGeneral.png|thumb|center|600px|'''Figure 4.19''' View Settings dialog box]]
This page allows users to change the title and legend. To show the current animation time in the title text, simply use the keyword ''${TIME}''. Users can further change the font and alignment for the title.
This page also enables changing the appearance and positioning of the legend.
====Axis Settings Page====
This page allows changing the properties of a particular axis. Four pages are provided for each of the axes. By clicking on the name of the axis, one can access the settings page for the corresponding axes.
* Axis
** '''Show Axis''' : controls the axis visibility.
** '''Show Axis Grid''': controls whether a grid is to be drawn perpendicular to this axis.
** '''Colors''': enables changing the axis as well as the grid color.
* Labels
** '''Show Axis Labels When Space is Available''' : controls label visibility along this axis.
** '''Font''' and '''Color''': enables changing the label font and color.
** '''Notation''': allows user to choose between '''Mixed''', '''Scientific''' and '''Fixed''' point notations for numbers.
** '''Precision''': controls precision after '.' in '''Scientific''' and '''Fixed''' notations.
====Axis Layout Page====
This page allows the user to change the axis range and scale.
* '''Use Logarithmic Scale When Available''': check this to use a log scale unless the data contains numbers <= 0.
* '''Let the Chart Determine the Axis Layout''': pick this radio button to let the chart use the optimal range and spacing for this axis.
* '''Specify the Axis Range''': pick this radio button to specify the axis range explicitly. The labels are auto-placed within this range.
* '''Specify Each of the Axis Labels''': pick this radio button to specify each label location on axis explicitly.
====Axis Title Page====
This page allows the user to change the title for the axis. One can change the text as well as color and font for the axis title.
===Display Properties===
Display Properties for the Line Chart view allow the user to choose what arrays are plotted along which of the axes as well as the appearance for each of the lines such as its color, thickness and style.
* '''Attribute Mode''' : pick which attribute arrays to plot i.e. point arrays or cell arrays etc.
* '''X Axis Data''' : controls the array to use as the X-axis.
** '''Use Array Index From Y Axis Data''' :  when checked results in ParaView simply using the index in data-array plotted on Y as the x axis.
** '''Use Data Array''': when checked the user can pick an array to be interpreted as the x co-ordinate.
* '''Line Series''' : controls the properties of each of the arrays plotted along the y-axis.
** '''Variable''' : check the variable to be plotted.
** '''Legend Name''' : click to change the name used in the legend for this array.
Select any of the series in the list to change following properties for that series. One can select multiple entries to change multiple series.
** '''Line Color''' : controls the color for the series.
** '''Line Thickness''' : controls the thickness for the series.
** '''Line Style''' : controls the style for the line.
** '''Marker Style''' : markers can be placed at every data point. This controls the style used for those markers.
** '''Chart Axes''' :
==Bar Chart View==
Traditional 2D graphs present some types of information much more readily than 3D renderings do; they are usually the best choice for displaying one and two dimensional data. The Bar Chart View is very useful for examining the relative quantities of different values within data, for example.
The Bart Chart View is used most frequently to display the output of the Histogram filter. This filter divides the range of a component of a specified array from the input data set into a specified number of bins, producing a simple sequence of the number of values in the range of each bin. A Bar Chart is the natural choice for displaying this type of data. In fact the Bar Chart View is the preferred View type for the Histogram filter. Filters that have a preferred View type will create a View of the preferred type whenever they are instantiated.
When the new View is created for the histogram filter, the pre-existing 3D view is made smaller to make space for the new Chart View. The Chart View then becomes the Active View, which is denoted with a red border around the View in the display area. Clicking on any View window makes it the active View. The contents of the Object Inspector and Pipeline Browser panels change and menu items are enabled or disabled whenever a different View becomes active to reflect the Active View’s settings and available controls. In this way, you can independently control numerous Views. Simply make a View active, and then use the rest of the GUI to change it. By default, the changes you make will only affect the active View.
As with the 3D View, the visibility of different datasets within a Bar Chart View is displayed and controlled by the eye icons in the Pipeline Browser. The Bar Chart View can only display datasets that contain chartable data, and when a Bar Chart View is active, the Pipeline Browser will only display the eye icon next to those datasets that can be charted.
ParaView stores its chartable data in 1D Rectilinear Grids, where the X locations of the grid contain the bin boundaries, and the cell data contain the counts within each bin. Any source or filter that produces data in this format can be displayed in the Bar Chart View. Figure 46 shows a histogram of the values from a slice of a data set.
The Chart View’s Edit View Options dialog allows you to create labels, titles, and legends for the chart and to control the range and scaling of each axis.
The '''Interaction''', '''Display Properties''' as well as '''View Settings''' for this view and similar to those for the Line Chart.
==Color Transfer Functions==
The interface for changing the color mapping and properties of the scalar bar is accessible from the '''Display''' tab of the '''Object Inspector'''. Pressing the '''Edit Color Map''' button displays the interface for manipulating the color map and scalar bar as shown below.
<center>'''Figure 1. Color Map Controls'''</center>
At the top of the '''Color Scale''' tab of the '''Color Scale Editor''' dialog is an editor for mapping scalar values to colors (for surface rendering) and also to opacity (for volume rendering). The scalar range of this color map editor is shown below the '''Automatically Rescale to Fit Data Range''' check box. The leftmost sphere corresponds to the minimum scalar value, and the rightmost one corresponds to the maximum. Any interior nodes correspond to values between these two extremes. New nodes may be added to the color editor by left-clicking in the editor; this determines the scalar value associated with the node, but that value may be changed by typing a new value in the '''Scalar Value''' text box below the color map editor or by clicking and dragging a node. (The scalar value for a particular node may not be changed such that it is less than that for a node left of it or greater than that for a node right of it.) When volume rendering, the vertical height of a node indicates its opacity. For surface rendering, opacity is determined for an entire data set, not based on the underlying scalar values.
When a node in the color map editor is clicked, it becomes highlighted (i.e., drawn larger than the other spheres in the editor). In the example above, the second node from the left has been selected. Clicking again on the selected node displays a color chooser from which you may select a new color for the node. Pressing the ‘d’ or Delete key while a node is selected removes that node from the editor. Only the endpoint nodes may not be deleted.
Below the color map editor (or transfer function editor, for volume rendering) is a set of three text boxes for changing the scalar value, opacity, and scale associated with a given node. Only the scalar value is associated with surface rendering. The scalar values at the endpoints may only be changed if the '''Automatically Rescale to Fit Data Range''' check box (discussed later in this section) is unmarked. When volume rendering, you may also specify the opacity and scale per node in the editor. In volume rendering, the opacity is accumulated as you step through the volume being rendered. The '''Scale''' value determines the unit distance over which the opacity is accumulated.
The controls below the set of three text boxes specify the color space and any color map preset you wish to save or use. The color spaces available are '''RGB''' (red, green, blue), '''HSV''' (hue, saturation, value), '''Wrapped HSV''', and '''CIELAB''' (a more perceptually linear color space). The color space determines how the colors are interpolated between specified values; the colors at the color map (or transfer function) editor nodes will remain the same regardless of the color space chosen. If wrapped HSV is used, the interpolation will use the shortest path in hue, even going through the value hue = 0. For non-wrapped HSV, the hue interpolation will not pass through 0. (A hue of zero sets the color to red.)
In addition to choosing the color space and modifying the color map / transfer function nodes, you may also create and load preset color scales. (When volume rendering, only the color map is stored; the scalar-to-opacity mapping is not.) To store your current settings as a preset, click the '''Save''' button. In the dialog box that appears, you may enter a name for your new preset. By default, the scalar values from the data array being used are stored in the preset. If you wish these values to be normalized between 0 and 1, press the '''Normalize''' button.
<center>'''Figure 2. Dialog for choosing color scale presets.'''</center>
Any presets you save, in addition to the default ones provided by ParaView, are available by pressing the '''Choose Preset''' button, causing the dialog shown below to be displayed. Selecting a preset and clicking '''OK''' causes the current color map to be set to the chosen preset. Any user-defined presets may be normalized (as discussed above) or removed from the list of presets entirely using the '''Normalize''' and '''Remove''' buttons, respectively. (The default presets are already normalized and may not be removed from the application.)
Any of the color scale presets may be exported to a file using the '''Export''' button in the above dialog. The resulting file(s) may then be copied to another computer for use with ParaView on a different machine. In order to load presets that are stored in such files, press the '''Import '''button on the above dialog, and navigate to the desired color preset file.
If the current data set is colored by an array of vectors, the '''Component''' menu will be enabled. It determines whether the data is colored by a single vector component ('''X''', '''Y''', or '''Z''') or by the vector’s '''Magnitude''' (the default). If the data is colored by a single-component (scalar) array, then the '''Component''' menu is disabled.
If '''Use Logarithmic Scale'''<nowiki> is checked, then instead of the scalar values in the data array being used directly to determine the colors, the base-10 logarithm of the data array values is computed, and the resulting value is used for extracting a color from the color map. If the data array contains values for which a logarithm would produce invalid results (i.e., any values less than or equal to 0), the range for the color map is changed to [0, 10] so that the logarithm produces valid results.</nowiki>
By default, any data attribute that has been used to color a data set currently loaded in ParaView whose name and number of components match that of the array selected in the '''Color by''' menu contributes to the range of the color map. To change this behavior, first uncheck the '''Automatically Rescale to Fit Data Range''' check box. (This ensures that the range of the color map is not reset when the range of the data attribute changes.) The minimum and maximum values of the color map can be overridden by pressing the '''Rescale Range''' button, entering different '''Minimum''' and '''Maximum''' values in the dialog that appears, and pressing '''Rescale'''<nowiki>; this rescales all the nodes in the color map so that the scalar values lie at the same normalized positions. Alternatively, you may modify the scalar values of any node (including the endpoints if </nowiki>'''Automatically Rescale to Fit Data Range''' is off) by clicking a node to highlight it and typing a new value in the '''Scalar Value''' entry box. By changing the minimum and maximum color map values, it is possible to manually specify what range of data values the color map will cover. Pressing the '''Rescale to Data Range''' button on the '''Color Scale''' tab of the '''Color Scale Editor '''sets the range to cover only the current data set.
If '''Use Discrete Colors''' is checked, the '''Resolution''' slider at the bottom of the dialog specifies the number of colors to in the color map. The scale ranges from 2 to 256 (the default). The fewer the number of colors, the larger the range each color covers. This is useful if the data attribute has a small number of distinct values or if larger ranges of the array values should be mapped to the same color.
<center>'''Figure 3. Scalar Bar controls'''</center>

Latest revision as of 18:36, 14 January 2015

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