pandas.CategoricalIndex.copy

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

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

Parameters:

name : string, optional

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.