[vtkusers] 'live' 2D plot : feasible ?

[guillaume ranquet]

Thanks Gerrick for your input :)

I'm currently in the 'cloud of classes' of the vtk documentation.
I don't need a spline (more a collection of lines), so I'm thinking of a
vtkXYPlotWidget (which contains a XYPlotActor) and a vtkPolyData.
I don't know If I need a vtkProbeFilter, it seems to be only of use for
transformations and projections (which I don't need for the moment)
It's still blurry on how to update smoothly the plot with new points.
just adding them to the vtkPolyData seems a bit too easy : there must be
a 'sync' somewhere?

is a :
MyPolyDataObj.InsertNextPoint(mx, my, 0)
MyPolyDataObj.Update()

enough to refresh my plot properly?
I don't see anything in the vtkXYPlotWidget/XYPlotActor that permits to
refresh the view of the data?

Guillaume.

Gerrick Bivins wrote:
> Hi Guillaume,
> I've successfully (for the most part) used XYPlot similar to the the way
> you've described. I use a spline widget to update a the chart while probing
> a 3d a dataset. The hard part is making sure the spline probe output stays
> synced with the xyplot. This involved setting up the callbacks for the
> widget so that any interaction with it constantly updated the filter. Also I
> had to make sure the probe output had enough "valid points" to display a
> sensible chart. This issue dealt mainly with my dataset being a vtkComposite
> dataset so if your data is a vtkDataSet (or subclass of) then you should be
> good to go.
> 
> Gerrick
> 
> 
>  
> 
> 
> On 7/16/09 8:57 AM, "guillaume ranquet" <granquet at wyplay.com> wrote:
> 
>> Hi list.
>> I've been trying to find out if vtk could be used as a live 2D plotting
>> tool (plot as the data comes in)?
>> I'm working with Python, I stumbled upon
>> Examples/Annotation/Python/xyPlot.py which is a good start for my goal.
>> But I can't figure out how to animate a 2D plot nor if it's a good idea
>> (maybe I'm the only one around being silly enough to use VTK for that
>> kind of plotting)
>>
>> and second question: is there a Python Documentation? I'm a bit lost
>> with the Cpp doxygen, trying to find out what is mapped to what :S
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