w3resource

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

Pandas: DataFrame Exercise-64 with Solution

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

Python-Pandas Code Editor:

Have another way to solve this solution? Contribute your code (and comments) through Disqus.

Previous: Write a Pandas program to remove last n rows of a given DataFrame.
Next: Write a Pandas program to reverse order (rows, columns) of a given DataFrame.

What is the difficulty level of this exercise?

Test your Programming skills with w3resource's quiz.



Share this Tutorial / Exercise on : Facebook and Twitter

Python: Tips of the Day

Walrus Operator:

>>> a = ['j', 'a', 'k', 'd', 'c']
>>> if (n := len(a))%2 == 1:
...     print(f'The number of letters is {n}, which is odd.')
...
The number of letters is 5, which is odd.