Applying a Custom Function to a Pandas Series with map()

Last update on April 09 2025 12:53:44 (UTC/GMT +8 hours)

4. Apply a Function to a Series Using map()

Write a Pandas program that uses map() function to apply a function to a Series.

This exercise demonstrates how to use map() to apply a custom function to a Pandas Series.

Sample Solution:

Code :

import pandas as pd

# Create a sample Series
s = pd.Series([1, 2, 3, 4, 5])

# Define a custom function to double the value
def double(x):
    return x * 2

# Apply the custom function to each element in the Series using map()
s_doubled = s.map(double)

# Output the result
print(s_doubled)

Output:

0     2
1     4
2     6
3     8
4    10
dtype: int64                                

Explanation:

• Created a Pandas Series with 5 values.
• Defined a function double() that doubles its input.
• Applied the double() function to the Series using map().
• Returned a new Series where each value has been doubled.

For more Practice: Solve these Related Problems:

• Write a Pandas program to use the map() function to convert a Series of categorical labels into numeric codes.
• Write a Pandas program to apply map() to replace specific values in a Series based on a provided dictionary.
• Write a Pandas program to use map() on a Series to strip whitespace and convert all text to lowercase.
• Write a Pandas program to transform a Series by mapping each value to its square using a lambda function with map().

Python-Pandas Code Editor:

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