1 | initial version |
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.
2 | No.2 Revision |
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.