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.
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