pandas.Index.copy

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

Make a copy of this object.

Name is set on the new object.

Parameters:

name:Label, optional

Set name for new object.

deep:bool, default False

Returns:

Index

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

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