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 ifdeep
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')], )