pandas.DataFrame.rename_axis

DataFrame.rename_axis(mapper, axis=0, copy=True, inplace=False) [source]

Alter the name of the index or columns.

Parameters:	mapper : scalar, list-like, optional Value to set as the axis name attribute. axis : {0 or ‘index’, 1 or ‘columns’}, default 0 The index or the name of the axis. copy : boolean, default True Also copy underlying data. inplace : boolean, default False Modifies the object directly, instead of creating a new Series or DataFrame.
Returns:	renamed : Series, DataFrame, or None The same type as the caller or None if inplace is True.

See also

pandas.Series.rename

Alter Series index labels or name

pandas.DataFrame.rename

Alter DataFrame index labels or name

pandas.Index.rename

Set new names on index

Notes

Prior to version 0.21.0, rename_axis could also be used to change the axis labels by passing a mapping or scalar. This behavior is deprecated and will be removed in a future version. Use rename instead.

Examples

Series

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

DataFrame

>>> df = pd.DataFrame({"A": [1, 2, 3], "B": [4, 5, 6]})
>>> df.rename_axis("foo")
     A  B
foo
0    1  4
1    2  5
2    3  6

>>> df.rename_axis("bar", axis="columns")
bar  A  B
0    1  4
1    2  5
2    3  6