pandas.MultiIndex.swaplevel

MultiIndex.swaplevel(self, i=-2, j=-1) [source]

Swap level i with level j.

Calling this method does not change the ordering of the values.

Parameters:	i : int, str, default -2 First level of index to be swapped. Can pass level name as string. Type of parameters can be mixed. j : int, str, default -1 Second level of index to be swapped. Can pass level name as string. Type of parameters can be mixed.
Returns:	MultiIndex A new MultiIndex. Changed in version 0.18.1: The indexes i and j are now optional, and default to the two innermost levels of the index.

See also

Series.swaplevel

Swap levels i and j in a MultiIndex.

Dataframe.swaplevel

Swap levels i and j in a MultiIndex on a particular axis.

Examples

>>> mi = pd.MultiIndex(levels=[['a', 'b'], ['bb', 'aa']],
...                    codes=[[0, 0, 1, 1], [0, 1, 0, 1]])
>>> mi
MultiIndex([('a', 'bb'),
            ('a', 'aa'),
            ('b', 'bb'),
            ('b', 'aa')],
           )
>>> mi.swaplevel(0, 1)
MultiIndex([('bb', 'a'),
            ('aa', 'a'),
            ('bb', 'b'),
            ('aa', 'b')],
           )