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

Using reset_index() after the group by will do the trick:

df = pd.DataFrame({'a': [1, 1, 3],
                   'b': [4.0, 5.5, 6.0],
                   'c': ['7L', '8L', '9L'],
                   'name': ['hello', 'hello', 'foo']})
df.groupby(['a', 'name']).median().reset_index().name

here is the result:

 0    hello
 1      foo
 Name: name, dtype: object

and if you want the list of the values, you can simply:

df = pd.DataFrame({'a': [1, 1, 3],
                   'b': [4.0, 5.5, 6.0],
                   'c': ['7L', '8L', '9L'],
                   'name': ['hello', 'hello', 'foo']})

df.groupby(['a', 'name']).median().reset_index().name.values

The result of using values will be a list containing the values for the name column. The code above returns the following list as the results:

array(['hello', 'foo'], dtype=object)