Postprocessing using pythonFlu + Matplotlib +Scipy
I would like to try using pythonFlu + Matplotlib + Scipy/Numpy to do some postprocessing.
I'm able to export some data in raw format (x,y,z, field1, field2, ...) on surfaces (patches or plane defined in sampleDict) and read them with a simple python script.
I've got some difficulties to use the Numpy meshgrid and Matplotlib contour in my script even in my mesh is block structured.
I first try to plot a scalar field on a patch. The mesh obtained from blockMesh is structured (in fact block-structured). My major problem is automatically obtain the size of the x (Nx) and y (Ny) data on this particular patche to use meshgrid and contour in my script.
For vectors x, y with lengths Nx=len(x) and Ny=len(y), return X, Y
where X and Y are (Ny, Nx) shaped arrays with the elements of x
and y repeated to fill the matrix
Does pythonFlu have some magic tool with it to do those kind of postprocessing ? :D
Did you manage to postprocess your openfoam data only with matplotlib+numpy+scipy ?
Thanks for shearing your experiences.
May I add that I would like to preserve the original mesh structure (near wall refinement, etc ..) over interpolating the data on a new equally spaced grid.
Am I wrong? May be you could attach the whole example to demonstrate your point?
Nevertheless, we could start to develop third-party OpenFOAM related post-processing tools based on Python.
Integration with pythonFlu better be optional, to make this tools valuable by themselves.
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