Dear list, What's the current best practice to visualise a (3D) numpy array with paraview? In particular, I'm wondering if
vtkdata = numpy_support.numpy_to_vtk(num_array=NumPy_data.ravel(), deep=True, array_type=vtk.VTK_FLOAT) can somehow be directly visualised? In parallel. I'm aware of ProgrammableSource() and how to do it using that, but only from a file! What I'd very much like to do is avoid the file (if I cannot avoid the file, I'll just do xdmf and hdf5.) Just in case it matters, the numpy array is actually not really a numpy array, but petsc4py.PETSc._DMDA_Vec_array which of course can be "cast" as numpy.ndarray. Best regards, Juha _______________________________________________ Powered by www.kitware.com Visit other Kitware open-source projects at http://www.kitware.com/opensource/opensource.html Please keep messages on-topic and check the ParaView Wiki at: http://paraview.org/Wiki/ParaView Search the list archives at: http://markmail.org/search/?q=ParaView Follow this link to subscribe/unsubscribe: http://public.kitware.com/mailman/listinfo/paraview
