How to create pivot with totals (margins) in Pandas?

Question

For example, I have a very simple data frame:

values = pd.Series(i for i in range(5))
rows = pd.Series([\'a\', \'b\', \'a\', \'a\', \'b\'])
columns = pd.date         


        

Answer 1

I can reproduce your issue. It sounds like a bug. At least I found that reassigning the column names workaround the issue:

df.columns = ['rows', 'columns', 'values']

pd.pivot_table(
    ...:     data=df,
    ...:     rows='rows',
    ...:     cols='columns',
    ...:     values='values',
    ...:     margins=True)
Out[34]: 
columns                     a    b  All
rows                                   
2013-01-01 00:00:00  0.000000  NaN    0
2013-01-02 00:00:00       NaN  1.0    1
2013-01-03 00:00:00  2.000000  NaN    2
2013-01-04 00:00:00  3.000000  NaN    3
2013-01-05 00:00:00       NaN  4.0    4
All                  1.666667  2.5    2