Selecting rows from a Pandas dataframe with a compound (hierarchical) index

Question

I\'m suspicious that this is trivial, but I yet to discover the incantation that will let me select rows from a Pandas dataframe based on the values of a hierarchical key. S

Answer 1

Syntax like the following will work:

df.ix['a']
df.ix['a'].ix['c']

since group1 and group2 are indices. Please forgive my previous attempt!

To get at the second index only, I think you have to swap indices:

df.swaplevel(0,1).ix['c']

But I'm sure Wes will correct me if I'm wrong.