Pandas: Add a prefix or suffix to all columns of a given DataFrame

Last update on April 03 2025 13:11:29 (UTC/GMT +8 hours)

64. Add Prefix or Suffix to All Columns

Write a Pandas program to add a prefix or suffix to all columns of a given DataFrame.

Sample Solution :

Python Code :

import pandas as pd
df = pd.DataFrame({'W':[68,75,86,80,66],'X':[78,85,96,80,86], 'Y':[84,94,89,83,86],'Z':[86,97,96,72,83]});
print("Original DataFrame")
print(df)
print("\nAdd prefix:")
print(df.add_prefix("A_"))
print("\nAdd suffix:")
print(df.add_suffix("_1"))

Sample Output:

Original DataFrame
    W   X   Y   Z
0  68  78  84  86
1  75  85  94  97
2  86  96  89  96
3  80  80  83  72
4  66  86  86  83

Add prefix:
   A_W  A_X  A_Y  A_Z
0   68   78   84   86
1   75   85   94   97
2   86   96   89   96
3   80   80   83   72
4   66   86   86   83

Add suffix:
   W_1  X_1  Y_1  Z_1
0   68   78   84   86
1   75   85   94   97
2   86   96   89   96
3   80   80   83   72
4   66   86   86   83

For more Practice: Solve these Related Problems:

• Write a Pandas program to add a custom prefix to all column names and then output the modified DataFrame.
• Write a Pandas program to append a suffix to every column header and then sort the DataFrame based on the new column names.
• Write a Pandas program to simultaneously add a prefix and a suffix to each column and then display the updated headers.
• Write a Pandas program to modify column names by adding a timestamp as a prefix, then revert them to the original names.

Python-Pandas Code Editor:

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