[vtkusers] Reading large arrays into vtk with python

[Paul]

Unfortunately we're still running the VTK5.03 package bundled into Ubuntu
8.04. Ideally I'd like to stick to using packages to allow easier
distribution across different machines in our network. I haven't been able
to find any VTK5.2 packages for Ubuntu or Debian.

I tried making my own .deb package from source until I realized that I also
didn't have the necessary version of CMake. I did try compiling and
installing 5.2 onto my own machine but my code started to segfault like
crazy, so I slowly backed away from that.

Is there another approach that I can use to read Python/Numpy data into VTK
5.03? Or a fool-proof .deb distribution of 5.2?

Thanks,

Paul



On Fri, Sep 19, 2008 at 5:31 PM, David E DeMarle
<dave.demarle at kitware.com>wrote:

> I believe so yes.
>
> Take a look at the numpy_support.py module. As long as you have numpy
> on your machine and are using >= VTK5.2 you should be able to use it.
>
> cheers,
> Dave DeMarle
>
>
> On Fri, Sep 19, 2008 at 9:31 AM, Paul <massivemonkeymayhem at gmail.com>
> wrote:
> > Hi. I'm just starting out in VTK. I've written a python script that
> converts
> > 3D scalar data to .VTK/.VTI files. But it's rather slow due to having to
> > loop over every voxel, which I am trying to eliminate.
> >
> > I've implemented the script using NumPY arrays such that I can quickly
> > reorder the X,Y,Z data into any array structure as needed. This data
> needs
> > to be fed into a vtkImageData. Is there a fast way to create a VTK data
> > array from my data?
> >
> > Regards,
> >
> > Paul
> >
> >
> > _______________________________________________
> > This is the private VTK discussion list.
> > Please keep messages on-topic. Check the FAQ at:
> > http://www.vtk.org/Wiki/VTK_FAQ
> > Follow this link to subscribe/unsubscribe:
> > http://www.vtk.org/mailman/listinfo/vtkusers
> >
> >
>
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://www.vtk.org/pipermail/vtkusers/attachments/20080923/6b8b0491/attachment.htm>