pandas.Index.droplevel#

finalIndex.droplevel(level=0)[source]#

Return index with requested level(s) removed.

If resulting index has only 1 level left, the result will beof Index type, not MultiIndex. The original index is not modified inplace.

Parameters:

levelint, str, or list-like, default 0

If a string is given, must be the name of a levelIf 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'])>>>miMultiIndex([(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'])Index([5, 6], dtype='int64', name='z')