I have a VTU file like this, (too big to upload, so I copy part of it). What I used to do is use MATLAB/Python to read the value of certain DataArray, but this time, the file is encoded, what is the best way to decode it, and then use MATLAB or Python script, or how to do some math directly in Paraview, like is there a good tutorial?
<VTKFile type='UnstructuredGrid' version='0.1' byte_order='LittleEndian' compressor='vtkZLibDataCompressor'>
<UnstructuredGrid>
<Piece NumberOfPoints='233202' NumberOfCells='77734'>
<PointData Vectors='displacement force velocity ' Scalars='boundary condition ID fluid pressure '>
<DataArray Name='displacement' type='Float64' NumberOfComponents='3' format='appended' offset='0'></DataArray>
<DataArray Name='force' type='Float64' NumberOfComponents='3' format='appended' offset='3985032'></DataArray>
<DataArray Name='velocity' type='Float64' NumberOfComponents='3' format='appended' offset='8977484'></DataArray>
<DataArray Name='boundary condition ID' type='Int32' NumberOfComponents='1' format='appended' offset='13996524'></DataArray>
<DataArray Name='fluid pressure' type='Float64' NumberOfComponents='1' format='appended' offset='13998032'></DataArray>
</PointData>
<CellData Tensors='principal deviatoric stresses principal strains principal stresses strains stresses ' Scalars='alive mass material property ID mean stress volumetric strain '>
<DataArray Name='principal deviatoric stresses' type='Float64' NumberOfComponents='9' format='appended' offset='14000496'></DataArray>
<DataArray Name='principal strains' type='Float64' NumberOfComponents='9' format='appended' offset='15262288'></DataArray>
<DataArray Name='principal stresses' type='Float64' NumberOfComponents='9' format='appended' offset='17071920'></DataArray>
<DataArray Name='strains' type='Float64' NumberOfComponents='9' format='appended' offset='18896468'></DataArray>
<DataArray Name='stresses' type='Float64' NumberOfComponents='9' format='appended' offset='21325604'></DataArray>
<DataArray Name='alive' type='Int32' NumberOfComponents='1' format='appended' offset='24122624'></DataArray>
<DataArray Name='mass' type='Float64' NumberOfComponents='1' format='appended' offset='24123084'></DataArray>
<DataArray Name='material property ID' type='Int32' NumberOfComponents='1' format='appended' offset='24903008'></DataArray>
<DataArray Name='mean stress' type='Float64' NumberOfComponents='1' format='appended' offset='24903464'></DataArray>
<DataArray Name='volumetric strain' type='Float64' NumberOfComponents='1' format='appended' offset='25703828'></DataArray>
</CellData>
<Points>
<DataArray type='Float64' NumberOfComponents='3' format='appended' offset='26502476'></DataArray>
</Points>
<Cells>
<DataArray Name='connectivity' type='Int32' NumberOfComponents='1' format='appended' offset='31321668'></DataArray>
<DataArray Name='offsets' type='Int32' NumberOfComponents='1' format='appended' offset='31751792'></DataArray>
<DataArray Name='types' type='UInt8' NumberOfComponents='1' format='appended' offset='31896096'></DataArray>
</Cells>
</Piece>
</UnstructuredGrid>
<AppendedData encoding='base64'>
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
