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I think it is because pandas does not like Sage integers, instead use raw integers:

cr11=cr1.iloc[:-9r,29r]

Similar problem exists (or existed) with other python libraries as numpy, sympy, PIL, etc. The bug was fixed for some, but not with pandas.

I think it is because pandas does not like Sage integers, instead use raw integers which prevent them to be preparsed and turned into Sage integers:

cr11=cr1.iloc[:-9r,29r]

Similar problem exists (or existed) with other python libraries as numpy, sympy, PIL, etc. The bug was fixed for some, but not with pandas.