[Paraview] Plot cumulative integral over time of a variable

[Andy Bauer]

Hi Alan,

For #2, a hacky way would be to use the temporal statistics to get the
average value and then multiply that by the number of time steps. The only
other way I can think of is by using a Python Programmable Filter to
integrate the values over time. The Python Programmable Filter recently was
changed to have access to the pipeline executive so that you can have it
iterate over time steps.

Attached is a state file which I used to iterate over time steps in a
programmable filter. It's not working with PV 4.3.1 but it may help give
you some guidance on how to do it. If it's overly confusing  (which it very
well could be -- I'm too lazy to look at it closely right now) let me know
and I can see if I can update it to work with the latest version of PV.

Best,
Andy

On Tue, Jul 14, 2015 at 7:22 PM, Scott, W Alan <wascott at sandia.gov> wrote:

>  Question from a user:
>
> I would like to use paraview to do the following:
>
> 1)      Integrate a nodal variable over a volume (IntegrateVariables
> filter does this)
>
> 2)      Then, integrate the result of the volume integral over time
> (cumulative integral)
>
> The "IntegrateVariables" filter works just fine to integrate over the
> volume, and I can plot the results of it over time by selecting "RowData"
> from the "PlotSelectionOverTime" filter.  I just can't figure out how to do
> #2 - integrate these results over time with something like "numpy.trapz" or
> "scipy.integrate.cumtrapz".
>
> I feel like this has probably been asked a million times, but I still seem
> to have trouble with it.  I think I usually fall back to other post
> processing tools.  Can this be done all in Paraview?
>
>
>
> Thanks,
>
> Alan
>
>
>
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