[Paraview] Newbie question on Python Programmable Filters

[Andy Bauer]

Hi Frank,

I didn't have a problem with the following on my windows machine using the
ParaView 3.14.1 installer.
=======
try: paraview.simple

except: from paraview.simple import *

paraview.simple._DisableFirstRenderCameraReset()

Wavelet1 = Wavelet()

RenderView1 = GetRenderView()

ProgrammableFilter1 = ProgrammableFilter()

ProgrammableFilter1.PythonPath = ''

ProgrammableFilter1.RequestInformationScript = ''

ProgrammableFilter1.Script = 'x = inputs[0].PointData[\'RTData\']\nprint "x
shape =",x.shape\n\nm = x*x # I _thought_ this should run at numpy
speeds?\nprint "m shape=",m.shape\n\n# more debugging code to finish
computation of the norm omitted\n\noutput.PointData.append(m,"Displacement
Norm")'

Show()

Render()

=============

Does this work for you?  If it doesn't, I wonder if it's an issue with
having multiple pythons and numpy or system environments causing problems.
What version of paraview are you using and how did you get it
built/installed on your machine?

Andy

On Tue, Sep 4, 2012 at 6:04 PM, Frank Horowitz
<frank.horowitz at cornell.edu>wrote:

> Hal Canary wrote on Tue Sep 4 15:22:01 EDT 2012:
> > On 09/04/2012 02:20 PM, Frank Horowitz wrote:
> > >
> >  x = inputs[0].PointData['Scalars_']
> >
> >
> >
> > I thought one needs to convert a vtkarray to a numpy array with
> >
> >       x = numpy.array(inputs[0].PointData['Scalars_'])
> >
> > before doing anything with it.
>
>
> Computations after that style of construction hang too.  To my eye, the
> results of such an expression should be 100% standard numpy, obeying 100%
> standard numpy semantics.
>
> It appears that there is a bug in numpy integration to the Python
> Programmable Filter.
>
> I'll re-compile from source and report back on the results.  Is the bug
> tracking system evident from the homepage?
>
> Cheers,
>         Frank Horowitz
>
>
>
>
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