Rename DataFrame columns/index names

You can simply rename DataFrame column names using DataFrame.rename() .
DataFrame.rename({'oldName1': 'newName1', 'oldName2': 'newName2'}, axis=1)

Lets create a DataFrame..

import pandas as pd import numpy as np df = pd.DataFrame() df['A'] = [12,13,12] df['B'] = [45, 40, 48] df
A B 0 12 45 1 13 40 2 12 48

Rename DataFrame column using DataFrame.rename()

df.rename({'A': 'Age','B':'Marks'}, axis=1, inplace=True) df

rename dataframe column
Age Marks 0 12 45 1 13 40 2 12 48

Rename DataFrame index using DataFrame.rename()

df.rename({0: 'One',1:'Two', 2:'Three' }, axis=0, inplace=True) df
A B One 12 45 Two 13 40 Three 12 48

Reassign DataFrame column/index names using set_axis()

df.set_axis(['Age', 'Marks'], axis=1, inplace=True) df
Age Marks 0 12 45 1 13 40 2 12 48

Changing DataFrame Index label using DataFrame.set_axis()

df.set_axis(['Age', 'Marks', 'Grade'], axis=0, inplace=True) df

rename dataframe index labels
A B Age 12 45 Marks 13 40 Grade 12 48





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