pandas.MultiIndex.copy

MultiIndex.copy(names=None, dtype=None, levels=None, labels=None, deep=False, _set_identity=False, **kwargs) [source]

Make a copy of this object. Names, dtype, levels and labels can be passed and will be set on new copy.

Parameters:	names : sequence, optional dtype : numpy dtype or pandas type, optional levels : sequence, optional labels : sequence, optional
Returns:	copy : 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.