Method copy

pandas/core/indexes/base.py:1375–1422

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

(
        self,
        name: Hashable | None = None,
        deep: bool = False,
    )

    # Copying Methods

    def copy(
        self,
        name: Hashable | None = None,
        deep: bool = False,
    ) -> Self:
        """
        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
            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
        """

        name = self._validate_names(name=name, deep=deep)[0]
        if deep:
            new_data = self._data.copy()
            new_index = type(self)._simple_new(new_data, name=name)
        else:
            new_index = self._rename(name=name)
        return new_index

    @final
    def __copy__(self) -> Self: