pandas.CategoricalIndex.copy

CategoricalIndex.copy(name=None, deep=False, dtype=None, **kwargs)

Make a copy of this object. Name and dtype sets those attributes on the new object.

Parameters:

name : string, optional

deep : boolean, default False

dtype : numpy dtype or pandas type

Returns:

copy : Index

Notes

In most cases, there should be no functional difference from using deep, but if deep is passed it will attempt to deepcopy.