Hey all, I have a quick question about setting scalar values with the python macro inside paraview.
So I have two images that I want to do scalar manipulation with. *example code:* from paraview import simple from vtk.util import numpy_support as npvtk import vtk.numpy_interface.dataset_adapter as dsa import pandas as pd import vtk scaling_vti = simple.XMLImageDataReader(FileName=[scaling_filename]) scaling_rawData = simple.servermanager.Fetch(scaling_vti) scaling_data = dsa.WrapDataObject(scaling_rawData) scaling_array = pd.DataFrame(npvtk.vtk_to_numpy(data.GetPointData().GetScalars()), columns= ['scaling_error']) humans_vti = simple.FindSource(humans_filename) humans_vti.PointArrayStatus = ['Scattering Density'] humans_rawData = simple.servermanager.Fetch(humans_vti) humans_data = dsa.WrapDataObject(humans_rawData) humans_array = pd.DataFrame(npvtk.vtk_to_numpy(humans_data.GetPointData().GetScalars()), columns=['scalar_intensity']) new_scalars = pd.DataFrame(humans_array.scalar_intensity * scaling_array. scaling_error) data.GetPointData().SetScalars(npvtk.numpy_to_vtk(new_scalars)) After I do this, I can bypass the pipeline (because I haven't figure out how to use it yet) by writing this image to a new file then load it again to render it. Is there a way I can set the paraview image with the new scalar values and have it render without having to write it to a file first? Or, is there a way to convert the vtk.numpy_interface.dataset_adapter.DataSetAttributes type back to paraview.servermanager.FieldDataInformation? Thanks, Kevin E. Dean -- This email and its contents are confidential. If you are not the intended recipient, please do not disclose or use the information within this email or its attachments. If you have received this email in error, please report the error to the sender by return email and delete this communication from your records.
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