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/pandas 0.23

pandas.Index.copy

Index.copy(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.

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Licensed under the 3-clause BSD License.
http://pandas.pydata.org/pandas-docs/version/0.23.4/generated/pandas.Index.copy.html