pandas.MultiIndex.set_levels

MultiIndex.set_levels(self, levels, level=None, inplace=False, verify_integrity=True)

Set new levels on MultiIndex. Defaults to returning new index.

Parameters

levelssequence or list of sequence

New level(s) to apply.

levelint, level name, or sequence of int/level names (default None)

Level(s) to set (None for all levels).

inplacebool

If True, mutates in place.

verify_integritybool, default True

If True, checks that levels and codes are compatible.

Returns

new index (of same type and class…etc)

Examples

>>> idx = pd.MultiIndex.from_tuples([(1, 'one'), (1, 'two'),
                                    (2, 'one'), (2, 'two'),
                                    (3, 'one'), (3, 'two')],
                                    names=['foo', 'bar'])
>>> idx.set_levels([['a', 'b', 'c'], [1, 2]])
MultiIndex([('a', 1),
            ('a', 2),
            ('b', 1),
            ('b', 2),
            ('c', 1),
            ('c', 2)],
           names=['foo', 'bar'])
>>> idx.set_levels(['a', 'b', 'c'], level=0)
MultiIndex([('a', 'one'),
            ('a', 'two'),
            ('b', 'one'),
            ('b', 'two'),
            ('c', 'one'),
            ('c', 'two')],
           names=['foo', 'bar'])
>>> idx.set_levels(['a', 'b'], level='bar')
MultiIndex([(1, 'a'),
            (1, 'b'),
            (2, 'a'),
            (2, 'b'),
            (3, 'a'),
            (3, 'b')],
           names=['foo', 'bar'])

If any of the levels passed to set_levels() exceeds the existing length, all of the values from that argument will be stored in the MultiIndex levels, though the values will be truncated in the MultiIndex output.

>>> idx.set_levels([['a', 'b', 'c'], [1, 2, 3, 4]], level=[0, 1])
MultiIndex([('a', 1),
            ('a', 2),
            ('b', 1),
            ('b', 2)],
           names=['foo', 'bar'])
>>> idx.set_levels([['a', 'b', 'c'], [1, 2, 3, 4]], level=[0, 1]).levels
FrozenList([['a', 'b', 'c'], [1, 2, 3, 4]])

pandas.MultiIndex.from_frame pandas.MultiIndex.set_codes