Pandas: rename column labels of a DataFrame

In this post, I am going to explain how to rename the column labels in a DataFrame.

 

Example

new_column_names = {'Name': 'User_Name', 'City': 'User_City'}
df = df.rename(columns=new_column_names)

Above snippet rename the column

a.   'Name' to 'User_Name'

b.   'City' to 'User_City'

 

rename_columns.py

import pandas as pd

# Create a sample DataFrame
data = {'Name': ['Krishna', 'Sailu', 'Joel', 'Chamu'],
        'Age': [34, 35, 29, 35],
        'City': ['Bangalore', 'Hyderabad', 'Hyderabad', 'Chennai'],
        'Gender': ['Male', 'Female', 'Male', 'Female'],
        'Rating': [81, 76, 67, 100]}

df = pd.DataFrame(data)
print('Original DataFrame')
print(df)

print('\nRename the columns "Name" to "User_Name" and "City" to "User_City"')
new_column_names = {'Name': 'User_Name', 'City': 'User_City'}
df = df.rename(columns=new_column_names)
print(df)

Output

Original DataFrame
      Name  Age       City  Gender  Rating
0  Krishna   34  Bangalore    Male      81
1    Sailu   35  Hyderabad  Female      76
2     Joel   29  Hyderabad    Male      67
3    Chamu   35    Chennai  Female     100

Rename the columns "Name" to "User_Name" and "City" to "User_City"
  User_Name  Age  User_City  Gender  Rating
0   Krishna   34  Bangalore    Male      81
1     Sailu   35  Hyderabad  Female      76
2      Joel   29  Hyderabad    Male      67
3     Chamu   35    Chennai  Female     100

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