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pandas.Index.copy — pandas 3.0.0.dev0+2231.g4f2aa4d2be documentation

Index.copy(name=None, deep=False)[source]#

Make a copy of this object.

Name is set on the new object.

Parameters:

nameLabel, optional

Set name for new object.

deepbool, default False

If True attempts to make a deep copy of the Index.

Else makes a shallow copy.

Returns:

Index

Index refer to new object which is a copy of this object.

See also

Index.delete

Make new Index with passed location(-s) deleted.

Index.drop

Make new Index with passed list of labels deleted.

Notes

In most cases, there should be no functional difference from using deep, but if deep is passed it will attempt to deepcopy.

Examples

>>> idx = pd.Index(["a", "b", "c"])
>>> new_idx = idx.copy()
>>> idx is new_idx
False

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