def slice_locs(self, start=None, end=None, step=None, kind=None):
<EOL>return super().slice_locs(start, end, step, kind=kind)<EOL>
For an ordered MultiIndex, compute the slice locations for input
labels.

The input labels can be tuples representing partial levels, e.g. for a
MultiIndex with 3 levels, you can pass a single value (corresponding to
the first level), or a 1-, 2-, or 3-tuple.

Parameters
----------
start : label or tuple, default None
    If None, defaults to the beginning
end : label or tuple
    If None, defaults to the end
step : int or None
    Slice step
kind : string, optional, defaults None

Returns
-------
(start, end) : (int, int)

Notes
-----
This method only works if the MultiIndex is properly lexsorted. So,
if only the first 2 levels of a 3-level MultiIndex are lexsorted,
you can only pass two levels to ``.slice_locs``.

Examples
--------
>>> mi = pd.MultiIndex.from_arrays([list('abbd'), list('deff')],
...                                names=['A', 'B'])

Get the slice locations from the beginning of 'b' in the first level
until the end of the multiindex:

>>> mi.slice_locs(start='b')
(1, 4)

Like above, but stop at the end of 'b' in the first level and 'f' in
the second level:

>>> mi.slice_locs(start='b', end=('b', 'f'))
(1, 3)

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.