Table Of Contents


Enter search terms or a module, class or function name.



create a new MultiIndex from the current that removing unused levels, meaning that they are not expressed in the labels

The resulting MultiIndex will have the same outward appearance, meaning the same .values and ordering. It will also be .equals() to the original.

New in version 0.20.0.



>>> i = pd.MultiIndex.from_product([range(2), list('ab')])
MultiIndex(levels=[[0, 1], ['a', 'b']],
           labels=[[0, 0, 1, 1], [0, 1, 0, 1]])
>>> i[2:]
MultiIndex(levels=[[0, 1], ['a', 'b']],
           labels=[[1, 1], [0, 1]])

The 0 from the first level is not represented and can be removed

>>> i[2:].remove_unused_levels()
MultiIndex(levels=[[1], ['a', 'b']],
           labels=[[0, 0], [0, 1]])
Scroll To Top