pandas.MultiIndex.get_loc_level#

MultiIndex.get_loc_level(key, level=0, drop_level=True)[source]#

Get location and sliced index for requested label(s)/level(s).

The get_loc_level method is a more advanced form of get_loc, allowing users to specify not just a label or sequence of labels, but also the level(s) in which to search. This method is useful when you need to isolate particular sections of a MultiIndex, either for further analysis or for slicing and dicing the data. The method provides flexibility in terms of maintaining or dropping levels from the resulting index based on the drop_level parameter.

Parameters:

keylabel or sequence of labels: The label(s) for which to get the location.
levelint/level name or list thereof, optional: The level(s) in the MultiIndex to consider. If not provided, defaults to the first level.
drop_levelbool, default True: If False, the resulting index will not drop any level.

Returns:

tuple

A 2-tuple where the elements :

Element 0: int, slice object or boolean array.

Element 1: The resulting sliced multiindex/index. If the key contains all levels, this will be None.

See also

MultiIndex.get_loc: Get location for a label or a tuple of labels.
MultiIndex.get_locs: Get location for a label/slice/list/mask or a sequence of such.

Examples

>>> mi = pd.MultiIndex.from_arrays([list("abb"), list("def")], names=["A", "B"])

>>> mi.get_loc_level("b")
(slice(1, 3, None), Index(['e', 'f'], dtype='object', name='B'))

>>> mi.get_loc_level("e", level="B")
(array([False,  True, False]), Index(['b'], dtype='object', name='A'))

>>> mi.get_loc_level(["b", "e"])
(1, None)