# pandas.Index.copy

`Index.``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.

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