].PointData['Scalars_'] # Ditto
z = inputs[2].PointData['Scalars_'] # Ditto
seterr(all='ignore') # Instruct numpy to ignore exceptions.
m = sqrt(square(x)+square(y)+square(z))
output.PointData.append(m,'magnitude')
--- code end ---
Thanks again for all of th
with the upstream codes.
Does paraview.simple have an easy way to construct a field vector at the
location of arbitrary points? If so, I think the Python script to do *that*
will be faster than me trying to chase all of this down…
Thanks again for the advice!
Cheers,
Frank Horowitz
, with a stock Mac OSX binary version
3.14.1 installed.
On 05/09/2012, at 5:49 PM, Frank Horowitz wrote:
> OK, more tracking the problem:
>
> The assumption underlying my "close up" description below is not correct.
> The problem appears to be the actual _size_ of the
he loaded file
>>
>> If you want time statistics for your variables I think you probably want to
>> use the calculator filter to square the value at each point and then use
>> the temporal statistics filter to get an average of those values. After
>> that you can just multiply th
27;m misunderstanding what you're trying to do, I'd suggest giving a
> description of what you're trying to do and maybe there's a simpler way of
> doing it.
>
> Andy
>
> On Wed, Sep 5, 2012 at 2:56 PM, Frank Horowitz
> wrote:
>
>> OK And
. Is that a correct assumption? Is that the source of my problems???
Thanks again for your help,
Frank Horowitz
From: Andy Bauer [andy.ba...@kitware.com]
Sent: Tuesday, September 04, 2012 7:57 PM
To: Frank Horowitz
Cc: paraview@paraview.org
Subject: Re: [Parav
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].
If not, how should I go about coding an
equivalent computation in the Programmable Filter that would execute at C
(numpy) speeds?
Thanks in advance for any help you might be able to provide,
Frank Horowitz
Cornell, Earth and Atmospheric Sciences
