pandas.MultiIndex.sortlevel

MultiIndex.sortlevel(level=0, ascending=True, sort_remaining=True)[source]

Sort MultiIndex at the requested level.

The result will respect the original ordering of the associated factor at that level.

Parameters
levellist-like, int or str, default 0

If a string is given, must be a name of the level. If list-like must be names or ints of levels.

ascendingbool, default True

False to sort in descending order. Can also be a list to specify a directed ordering.

sort_remainingsort by the remaining levels after level
Returns
sorted_indexpd.MultiIndex

Resulting index.

indexernp.ndarray

Indices of output values in original index.

Examples

>>> mi = pd.MultiIndex.from_arrays([[0, 0], [2, 1]])
>>> mi
MultiIndex([(0, 2),
            (0, 1)],
           )

>>> mi.sortlevel()
(MultiIndex([(0, 1),
            (0, 2)],
           ), array([1, 0]))

>>> mi.sortlevel(sort_remaining=False)
(MultiIndex([(0, 2),
            (0, 1)],
           ), array([0, 1]))

>>> mi.sortlevel(1)
(MultiIndex([(0, 1),
            (0, 2)],
           ), array([1, 0]))

>>> mi.sortlevel(1, ascending=False)
(MultiIndex([(0, 2),
            (0, 1)],
           ), array([0, 1]))
pandas.MultiIndex.is_lexsorted pandas.MultiIndex.droplevel