pandas.MultiIndex.droplevel#
- MultiIndex.droplevel(level=0)[source]#
Return index with requested level(s) removed.
If resulting index has only 1 level left, the result will be of Index type, not MultiIndex.
- Parameters
- levelint, str, or list-like, default 0
If a string is given, must be the name of a level If list-like, elements must be names or indexes of levels.
- Returns
- Index or MultiIndex
Examples
>>> mi = pd.MultiIndex.from_arrays( ... [[1, 2], [3, 4], [5, 6]], names=['x', 'y', 'z']) >>> mi MultiIndex([(1, 3, 5), (2, 4, 6)], names=['x', 'y', 'z'])
>>> mi.droplevel() MultiIndex([(3, 5), (4, 6)], names=['y', 'z'])
>>> mi.droplevel(2) MultiIndex([(1, 3), (2, 4)], names=['x', 'y'])
>>> mi.droplevel('z') MultiIndex([(1, 3), (2, 4)], names=['x', 'y'])
>>> mi.droplevel(['x', 'y']) Int64Index([5, 6], dtype='int64', name='z')