pandas.Series.rename_axis

Series.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 the axis name attribute. axis : int or string, default 0 copy : boolean, default True Also copy underlying data inplace : boolean, default False
Returns:	renamed : type of caller or None if inplace=True

See also

pandas.Series.rename, pandas.DataFrame.rename, pandas.Index.rename

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

>>> 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