pandas.Series.rename_axis

Series.rename_axis(mapper, axis=0, copy=True, inplace=False)

Alter index and / or columns using input function or functions. A scalar or list-like for mapper will alter the Index.name or MultiIndex.names attribute. A function or dict for mapper will alter the labels. Function / dict values must be unique (1-to-1). Labels not contained in a dict / Series will be left as-is.

Parameters:

mapper : scalar, list-like, dict-like or function, optional

axis : int or string, default 0

copy : boolean, default True

Also copy underlying data

inplace : boolean, default False

Returns:

renamed : type of caller

See also

pandas.NDFrame.rename, pandas.Index.rename

Examples

>>> df = pd.DataFrame({"A": [1, 2, 3], "B": [4, 5, 6]})
>>> df.rename_axis("foo")  # scalar, alters df.index.name
     A  B
foo
0    1  4
1    2  5
2    3  6
>>> df.rename_axis(lambda x: 2 * x)  # function: alters labels
   A  B
0  1  4
2  2  5
4  3  6
>>> df.rename_axis({"A": "ehh", "C": "see"}, axis="columns")  # mapping
   ehh  B
0    1  4
1    2  5
2    3  6