How to Split a Single Column Into Multiple Columns in Pandas DataFrame
Welcome to this DelftStack Tutorial! In this video, we'll show you how to split a single column into multiple columns in a Pandas DataFrame using Python. Whether you're working with simple or complex data structures, this tutorial will guide you through the process step-by-step.
🔍 What You'll Learn:
How to use the split() function to divide a column based on a delimiter.
How to use the extract() function with regular expressions for more complex splitting tasks.
Practical examples using a DataFrame with employee names and addresses.
💻 Tools Used:
Jupyter Notebook (feel free to use any IDE or tool you prefer).
📝 Code Examples Covered:
Splitting a "Name" column into "First Name" and "Last Name" using split().
Extracting "Street," "City," "State," and "Zip" from an "Address" column using extract() and regular expressions.
✅ Key Takeaways:
Splitting columns is a common data cleaning task in data analysis.
Ensure your data is of type string before applying these methods.
Regular expressions are powerful tools for handling complex string patterns.
📚 Explore More:
For additional Python tutorials and articles, visit DelftStack.com.
👍 Enjoyed the Video?
Don't forget to like, subscribe, and hit the notification bell for more tutorials like this!
#Python #Pandas #DataScience #DataFrames #PythonTutorial #DelftStack #DataCleaning #RegularExpressions
Watch video How to Split a Single Column Into Multiple Columns in Pandas DataFrame online, duration hours minute second in high quality that is uploaded to the channel Delft Stack 05 February 2025. Share the link to the video on social media so that your subscribers and friends will also watch this video. This video clip has been viewed 7 times and liked it 0 visitors.
