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Pandas DataFrame rename_axis() Method

❮ DataFrame Reference


Example

Set the name of the row axis:

import pandas as pd

data = {
  "name": ["Sally", "Mary", "John"],
  "age": [50, 40, 30],
  "qualified": [True, False, False]
}
df = pd.DataFrame(data)

newdf = df.rename_axis("members")

print(newdf)
Try it Yourself »

Definition and Usage

The rename_axis() method allows you to change the name of the row axis or the columns axis.


Syntax

dataframe.rename_axis(mapper, index, columns, axis, copy, inplace)

Parameters

The index, columns, axis, copy, inplace parameters are keyword arguments.

Parameter Value Description
mapper   Optional. A string or list with the new name of the axis
index String
List
Dictionary
Optional. A string, list, or a dictionary with the new name of the row axis
columns String
List
Dictionary
Optional. A string, list, or a dictionary with the new name of the column axis
axis 0
1
'index'
'columns'
Optional, default 0. The axis to perform the renaming on (important if the mapper parameter is present and index or columns are not)
copy True
False
Optional, default True. Whether to also copy underlying data or not
inplace True
False
Optional, default False. If True: the operation is done on the current DataFrame. If False: returns a copy where the operation is done.

Return Value

A DataFrame with the result, or None if the inplace parameter is set to True.

This function does NOT make changes to the original DataFrame object.


❮ DataFrame Reference