Hey David, Here's another alternative using numpy. There may be a slightly more straightforward way to do it (so anyone please feel free to edit it, or pass along refinements/advice and I can edit it), but it works for me.
http://www.paraview.org/Wiki/Python_Programmable_Filter#Center_Data_using_numpy from paraview.vtk import dataset_adapter as DA pdi = self.GetInputDataObject(0,0) pdo = self.GetOutputDataObject(0) pdo.CopyAttributes(pdi) old_pts = inputs[0].Points new_pts = old_pts - mean(old_pts, axis=0) arr = DA.numpyTovtkDataArray(new_pts, 'newpts') pdo.GetPoints().SetData(arr) Talk to you later, -Eric On Aug 6, 2010, at 12:27 PM, David Doria wrote: > On Fri, Aug 6, 2010 at 12:21 PM, Moreland, Kenneth <[email protected]> wrote: >> For the record, Andy’s method is attempting to find the center of mass >> (assuming uniform density). If you just need the center of the bounds, you >> can go to the information panel, average the bounds in each dimension, and >> then do a translate transform to move that point to the origin. >> >> -Ken > > Here is a programmable filter that does the trick: > http://www.paraview.org/Wiki/Python_Programmable_Filter#Center_Data > > Thanks all, > > David > _______________________________________________ > 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 > > Follow this link to subscribe/unsubscribe: > http://www.paraview.org/mailman/listinfo/paraview _______________________________________________ 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 Follow this link to subscribe/unsubscribe: http://www.paraview.org/mailman/listinfo/paraview
