pandas.Index.copy

Index.copy(self, name=None, deep=False, dtype=None, **kwargs) [source]

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.