pandas.MultiIndex.copy#

MultiIndex.copy(names=None, deep=False, name=None)[source]#

Make a copy of this object.

Names, dtype, levels and codes can be passed and will be set on new copy.

Parameters

namessequence, optional
deepbool, default False
nameLabel: Kept for compatibility with 1-dimensional Index. Should not be used.

Returns

MultiIndex

Notes

In most cases, there should be no functional difference from using deep, but if deep is passed it will attempt to deepcopy. This could be potentially expensive on large MultiIndex objects.

Examples

>>> mi = pd.MultiIndex.from_arrays([['a'], ['b'], ['c']])
>>> mi
MultiIndex([('a', 'b', 'c')],
           )
>>> mi.copy()
MultiIndex([('a', 'b', 'c')],
           )