def set_axis(self, labels, axis=<NUM_LIT:0>, inplace=None):
if is_scalar(labels):<EOL><INDENT>warnings.warn(<EOL>'<STR_LIT>'<EOL>'<STR_LIT>'<EOL>'<STR_LIT>'<EOL>'<STR_LIT>',<EOL>FutureWarning, stacklevel=<NUM_LIT:2>)<EOL>labels, axis = axis, labels<EOL><DEDENT>if inplace is None:<EOL><INDENT>warnings.warn(<EOL>'<STR_LIT>'<EOL>'<STR_LIT>'<EOL>'<STR_LIT>',<EOL>FutureWarning, stacklevel=<NUM_LIT:2>)<EOL>inplace = True<EOL><DEDENT>if inplace:<EOL><INDENT>setattr(self, self._get_axis_name(axis), labels)<EOL><DEDENT>else:<EOL><INDENT>obj = self.copy()<EOL>obj.set_axis(labels, axis=axis, inplace=True)<EOL>return obj<EOL><DEDENT>
Assign desired index to given axis.

Indexes for column or row labels can be changed by assigning
a list-like or Index.

.. versionchanged:: 0.21.0

   The signature is now `labels` and `axis`, consistent with
   the rest of pandas API. Previously, the `axis` and `labels`
   arguments were respectively the first and second positional
   arguments.

Parameters
----------
labels : list-like, Index
    The values for the new index.

axis : {0 or 'index', 1 or 'columns'}, default 0
    The axis to update. The value 0 identifies the rows, and 1
    identifies the columns.

inplace : bool, default None
    Whether to return a new %(klass)s instance.

    .. warning::

       ``inplace=None`` currently falls back to to True, but in a
       future version, will default to False. Use inplace=True
       explicitly rather than relying on the default.

Returns
-------
renamed : %(klass)s or None
    An object of same type as caller if inplace=False, None otherwise.

See Also
--------
DataFrame.rename_axis : Alter the name of the index or columns.

Examples
--------
**Series**

>>> s = pd.Series([1, 2, 3])
>>> s
0    1
1    2
2    3
dtype: int64

>>> s.set_axis(['a', 'b', 'c'], axis=0, inplace=False)
a    1
b    2
c    3
dtype: int64

The original object is not modified.

>>> s
0    1
1    2
2    3
dtype: int64

**DataFrame**

>>> df = pd.DataFrame({"A": [1, 2, 3], "B": [4, 5, 6]})

Change the row labels.

>>> df.set_axis(['a', 'b', 'c'], axis='index', inplace=False)
   A  B
a  1  4
b  2  5
c  3  6

Change the column labels.

>>> df.set_axis(['I', 'II'], axis='columns', inplace=False)
   I  II
0  1   4
1  2   5
2  3   6

Now, update the labels inplace.

>>> df.set_axis(['i', 'ii'], axis='columns', inplace=True)
>>> df
   i  ii
0  1   4
1  2   5
2  3   6