The programmable filter just runs the Python script you give it. Use Python to
iterate over all the fields in your dataset. Augmenting the example in the
email you reference, use something like this to iterate over all the fields:
for field in inputs[0].PointData.keys():
data0 = inputs[0].PointData[field]
data1 = inputs[1].PointData[field]
output.PointData.append(data0-data1, field + '-diff')
-Ken
From: ParaView [mailto:[email protected]] On Behalf Of John Haase
Sent: Friday, March 24, 2017 2:11 PM
To: ParaView <[email protected]>
Subject: [EXTERNAL] [Paraview] Difference in dataset for multiple variables
Hello Paraviewers,
I want to make sure my multivariable cyclic simulation has reached "steady
state" so I am trying to match the corresponding timesteps and get the R^2
error. To take the difference between the two datasets, I was thinking of
following the method laid out here
http://paraview.markmail.org/search/?q=difference#query:difference+page:1+mid:lc6a4ss2j5hi37ps+state:results
and using the ProgrammableFilter to take the difference. That works great for a
single variable. However, is there a way to take the difference of all the
variables in the data set? Or do I just have to have a ProgrammableFilter for
each variable?
Thank you for the advice
Regards,
John
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