# xarray.CFTimeIndex.copy

#### CFTimeIndex.copy(name=None, deep=False)[[source]](https://github.com/pydata/xarray/blob/main/xarray/../.pixi/envs/doc/lib/python3.15/site-packages/pandas/core/indexes/base.py#L1377-L1424)

Make a copy of this object.

Name is set on the new object.

* **Parameters:**
  * **name** (`Label`, *optional*) – Set name for new object.
  * **deep** ([`bool`](https://docs.python.org/3/builtins/functions.html#bool), *default* [`False`](https://docs.python.org/3/builtins/constants.html#False)) –

    If True attempts to make a deep copy of the Index.
    : Else makes a shallow copy.
* **Returns:**
  [`Index`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Index.html#pandas.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

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

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