def _set_axis_name(self, name, axis=<NUM_LIT:0>, inplace=False):
axis = self._get_axis_number(axis)<EOL>idx = self._get_axis(axis).set_names(name)<EOL>inplace = validate_bool_kwarg(inplace, '<STR_LIT>')<EOL>renamed = self if inplace else self.copy()<EOL>renamed.set_axis(idx, axis=axis, inplace=True)<EOL>if not inplace:<EOL><INDENT>return renamed<EOL><DEDENT>
Set the name(s) of the axis.

Parameters
----------
name : str or list of str
    Name(s) to set.
axis : {0 or 'index', 1 or 'columns'}, default 0
    The axis to set the label. The value 0 or 'index' specifies index,
    and the value 1 or 'columns' specifies columns.
inplace : bool, default False
    If `True`, do operation inplace and return None.

    .. versionadded:: 0.21.0

Returns
-------
Series, DataFrame, or None
    The same type as the caller or `None` if `inplace` is `True`.

See Also
--------
DataFrame.rename : Alter the axis labels of :class:`DataFrame`.
Series.rename : Alter the index labels or set the index name
    of :class:`Series`.
Index.rename : Set the name of :class:`Index` or :class:`MultiIndex`.

Examples
--------
>>> df = pd.DataFrame({"num_legs": [4, 4, 2]},
...                   ["dog", "cat", "monkey"])
>>> df
        num_legs
dog            4
cat            4
monkey         2
>>> df._set_axis_name("animal")
        num_legs
animal
dog            4
cat            4
monkey         2
>>> df.index = pd.MultiIndex.from_product(
...                [["mammal"], ['dog', 'cat', 'monkey']])
>>> df._set_axis_name(["type", "name"])
               legs
type   name
mammal dog        4
       cat        4
       monkey     2