sage vs. python integers and floats in pandas, matplotlib etc.
I have run into a problem before, where e.g. matplotlib did not like sage floats as input for axes ranges and I had to wrap them all in np.float(). Now I found a similar problem with pandas:
import pandas as pd fname = 'blah.xlsx' data_inf = pd.read_excel(fname) # This works: print data_inf[:int(3)] # This does not: print data_inf[:3] TypeError: cannot do slice indexing on <class 'pandas.indexes.range.RangeIndex'> with these indexers  of <type 'sage.rings.integer.Integer'>
Is there a way to set up proper parsing for the worksheet at the onset, so that I don't have to wrap numbers and variables in the specific type needed by the respective function every time?
Thanks for your help!