Example 1: pd.pivot_table
>>> table = pd.pivot_table(df, values=['D', 'E'], index=['A', 'C'],
... aggfunc={'D': np.mean,
... 'E': [min, max, np.mean]})
>>> table
D E
mean max mean min
A C
bar large 5.500000 9.0 7.500000 6.0
small 5.500000 9.0 8.500000 8.0
foo large 2.000000 5.0 4.500000 4.0
small 2.333333 6.0 4.333333 2.0
Example 2: pandas pivot
>>> df = pd.DataFrame({'foo': ['one', 'one', 'one', 'two', 'two',
... 'two'],
... 'bar': ['A', 'B', 'C', 'A', 'B', 'C'],
... 'baz': [1, 2, 3, 4, 5, 6],
... 'zoo': ['x', 'y', 'z', 'q', 'w', 't']})
>>> df
>>df.pivot(index='foo', columns='bar', values=['baz', 'zoo'])
bar A B C
foo
one 1 2 3
two 4 5 6
Example 3: pivot table pandas
df.pivot_table(['int_age'],index = [df.iloc[:,meet_friends], df.iloc[:,friendsgiving]])
Example 4: pivot table pandas
df.pivot_table(index = [df.iloc[:,meet_friends], df.iloc[:,friendsgiving]])