[Paraview] Volumes of Interest

[Sean Ziegeler]

Actually, that isn't a bad idea.  There doesn't seem to be a way of 
getting input to a Python script, as raw_input() doesn't appear to work 
in the Python Shell (in the PV GUI, at least) either.

On 02/18/10 08:19, Berk Geveci wrote:
> I didn't mention Python because it doesn't give you a way of popping up
> a file chooser - you have to edit the script and change the file name.
> Maybe we should add a Python command to pop up the file chooser... It is
> not super easy but if there is enough demand, we can do it. Feel free to
> add a feature request to the bug tracker or uservoice.
>
> -berk
>
> On Thu, Feb 18, 2010 at 8:06 AM, Jean M. Favre <jfavre at cscs.ch
> <mailto:jfavre at cscs.ch>> wrote:
>
>     Natalie Happenhofer wrote:
>      > Another topic - selecting volumes of interest: I can do that for
>     one file, and it works well. But is it really necessary to repeat
>     this procedure for every file I open in Paraview? Is it possible to
>     select a volume of interest and for every file I open afterward,
>     just this VoI is displayed?
>      >
>      >
>     I would suggest doing this in Python in order to avoid reading the full
>     resolution dataset by default. When opening a file, paraview forces you
>     to click Apply before you can do anything else (such as creating an
>     Extract Subset filter). Thus, the data reader uses
>     UPDATE_EXTENT=WHOLE_EXTENT and you may run out of memory before being
>     able to subset the grid.
>
>     if instead, you instantiate your reader, do not execute it, do not
>     create a representation for it, then create an Extract Subset with the
>     VOI you desire, and then execute the whole thing, you will end-up
>     passing the VOI extents upstream directly to the reader, and your reader
>     will only execute once with the correct extents.
>
>     Use the python shell and the followin example:
>
>     reader = XMLImageDataReader( FileName= '/path/to/data/foo.vti'] )
>     reader.PointArrayStatus = ['data1']
>
>     ExtractSubset1 = ExtractSubset()
>
>     ExtractSubset1.VOI = [2000, 2255, 2000, 2255, 2000, 2255]
>
>     DataRepresentation2 = Show(ExtractSubset1)
>
>     Render()
>
>     Jean--
>     Swiss National Supercomputing Center
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