[Paraview] nan

Aurélien Marsan aur.marsan at gmail.com
Mon Aug 23 08:44:24 EDT 2010


Hello Eric,

I'm very interested in what you call
"super-spiffy-numpy-hidden-behind-the-scenes".
That would shorten most of my scripts !

But do you know if it can handle with MultiBlockDataSet ?...

I would have like to do inputs[0].GetBlock(1).PointData[att_name]
But it doesn't seem to work...

Thanks,

Aurélien

2010/8/20 Eric E. Monson <emonson at cs.duke.edu>

> If you can use numpy, and you're using a recent-enough version of ParaView,
> then you can also use the super-spiffy-numpy-hidden-behind-the-scenes
> programmable filter API to replace all of the attribute arrays with zero'd
> versions:
>
> pdi = self.GetInputDataObject(0,0)
> pdo = self.GetOutputDataObject(0)
> pdo.CopyStructure(pdi)
>
>
> for att_name in inputs[0].PointData.keys():
>  naninc = inputs[0].PointData[att_name]
> zerod = numpy.nan_to_num(naninc)
>  output.PointData.append(zerod, att_name)
>
> Talk to you later,
> -Eric
>
>  ------------------------------------------------------
> Eric E Monson
> Duke Visualization Technology Group
>
>
> On Aug 20, 2010, at 10:00 AM, Aurélien Marsan wrote:
>
> Hi,
>
> If you're using python, and if you can use the numpy library, you can use
> the function numpy.nan_to_num too.
>
> http://docs.scipy.org/doc/numpy/reference/generated/numpy.nan_to_num.html#numpy.nan_to_num
>
> Regards,
>
> Aurélien
>
> 2010/8/20 David E DeMarle <dave.demarle at kitware.com>
>
>> That said, the same trick may work in the standard calculator filter
>> with the expression:
>>
>> if(val=val, val, 0.0)
>>
>> David E DeMarle
>> Kitware, Inc.
>> R&D Engineer
>> 28 Corporate Drive
>> Clifton Park, NY 12065-8662
>> Phone: 518-371-3971 x109
>>
>>
>>
>> On Fri, Aug 20, 2010 at 9:26 AM, David E DeMarle
>> <dave.demarle at kitware.com> wrote:
>> > You might write a python filter that iterates over all floating point
>> arrays and
>> > replaces nan's with 0.
>> >
>> > According to
>> http://stackoverflow.com/questions/944700/how-to-check-for-nan-in-python
>> > The most py version robust way to check for nan is:
>> >
>> > def isNaN(num):
>> >    return num != num
>> >
>> > David E DeMarle
>> > Kitware, Inc.
>> > R&D Engineer
>> > 28 Corporate Drive
>> > Clifton Park, NY 12065-8662
>> > Phone: 518-371-3971 x109
>> >
>> >
>> >
>> > On Thu, Aug 19, 2010 at 11:24 PM, Moreland, Kenneth <kmorel at sandia.gov>
>> wrote:
>> >> This might not be the best solution, but you can use the threshold
>> filter to
>> >> remove NANs.  A NAN will always fall outside the threshold range.
>> >>
>> >> -Ken
>> >>
>> >>
>> >> On 8/19/10 6:28 PM, "Scott, W Alan" <wascott at sandia.gov> wrote:
>> >>
>> >> Is there a way to convert nan’s to zeros in ParaView?  I have a user
>> that is
>> >> trying to use the integrate data filter, and it is having troubles with
>> >> NANs.
>> >>
>> >> Thanks,
>> >>
>> >> Alan
>> >>
>> >>
>> >>
>> >>
>> >>
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>> >>
>> >
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