pandas.MultiIndex.swaplevel#

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

Swap level i with level j.

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

Parameters

iint, str, default -2: First level of index to be swapped. Can pass level name as string. Type of parameters can be mixed.
jint, 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.

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')],
           )

pandas.MultiIndex.droplevel

pandas.MultiIndex.reorder_levels