Splitting a Column into Multiple Columns in Pandas

Pandas: Data Cleaning and Preprocessing Exercise-15 with Solution

Write a Pandas program to split a column into multiple columns.

This exercise demonstrates how to split a single column into multiple columns using str.split().

Sample Solution :

Code :

import pandas as pd

# Create a sample DataFrame with combined data in one column
df = pd.DataFrame({
    'Full_Name': ['Artair Mpho', 'Pompiliu Ukko', 'Gerry Sigismund']
})

# Split the 'Full_Name' column into 'First_Name' and 'Last_Name'
df[['First_Name', 'Last_Name']] = df['Full_Name'].str.split(' ', expand=True)

# Output the result
print(df)

Output:

         Full_Name First_Name  Last_Name
0      Artair Mpho     Artair       Mpho
1    Pompiliu Ukko   Pompiliu       Ukko
2  Gerry Sigismund      Gerry  Sigismund

Explanation:

• Created a DataFrame with full names combined into one column.
• Used str.split() to split the 'Full_Name' column into two new columns: 'First_Name' and 'Last_Name'.
• Returned the DataFrame with the separated name columns.

Python-Pandas Code Editor:

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