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/pandas 0.25

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.

© 2008–2012, AQR Capital Management, LLC, Lambda Foundry, Inc. and PyData Development Team
Licensed under the 3-clause BSD License.
https://pandas.pydata.org/pandas-docs/version/0.25.0/reference/api/pandas.Index.copy.html