How to select columns from groupby object in pandas?

Question

I grouped my dataframe by the two columns below

df = pd.DataFrame({\'a\': [1, 1, 3],
                   \'b\': [4.0, 5.5, 6.0],
                   \'c\': [7L, 8L         


        

Answer 1

You need to get the index values, they are not columns. In this case level 1

df.groupby(["a", "name"]).median().index.get_level_values(1)

Out[2]:

Index([u'hello', u'foo'], dtype=object)

You can also pass the index name

df.groupby(["a", "name"]).median().index.get_level_values('name')

as this will be more intuitive than passing integer values.

You can convert the index values to a list by calling tolist()

df.groupby(["a", "name"]).median().index.get_level_values(1).tolist()

Out[5]:

['hello', 'foo']