df.rename(columns={'oldName1': 'newName1',
'oldName2': 'newName2'},
inplace=True, errors='raise')
# Make sure you set inplace to True if you want the change
# to be applied to the dataframeimport pandas as pd
data = pd.read_csv(file)
data.rename(columns={'original':'new_name'}, inplace=True)df.rename(columns={"old_col1": "new_col1", "old_col2": "new_col2"})>>> df = pd.DataFrame({"A": [1, 2, 3], "B": [4, 5, 6]})
>>> df.rename(columns={"A": "a", "B": "c"})
a c
0 1 4
1 2 5
2 3 6
energy = energy.rename(columns={2: 'Country', 3: 'Energy Supply' , 4:'Energy Supply per Capita',5:'% Renewable'})
# import pandas library
import pandas as pd
# create pandas DataFrame
df = pd.DataFrame({'team': ['India', 'South Africa', 'New Zealand', 'England'],
'points': ['10', '8', '3', '5'],
'runrate': ['0.5', '1.4', '2', '-0.6'],
'wins': ['5', '4', '2', '2']})
# print the column names of DataFrame
print(list(df))
# rename the column names of DataFrame
df.rename(columns={'points': 'total_points',
'runrate': 'run_rate'}, inplace=True)
# print the new column names of DataFrame
print(list(df))