Selecting columns from pandas MultiIndex

Question

I have DataFrame with MultiIndex columns that looks like this:

# sample data
col = pd.MultiIndex.from_arrays([[\'one\', \'one\', \'one\', \'two\', \'two\', \         


        

Answer 1

To select all columns named 'a' and 'c' at the second level of your column indexer, you can use slicers:

>>> data.loc[:, (slice(None), ('a', 'c'))]

        one                 two          
          a         c         a         c
0 -0.983172 -2.495022 -0.967064  0.124740
1  0.282661 -0.729463 -0.864767  1.716009
2  0.942445  1.276769 -0.595756 -0.973924
3  2.182908 -0.267660  0.281916 -0.587835

Here you can read more about slicers.