In this video, we’ll explore the PySpark SQL select() function, which is essential for selecting specific columns from a DataFrame. Whether you’re new to PySpark or looking to sharpen your skills, this tutorial will guide you through how to use select() to retrieve, rename, and manipulate columns in PySpark DataFrames.
What you’ll learn:
How to use the select() function to choose specific columns
Renaming columns with alias()
Selecting multiple columns efficiently
Real-world examples of column operations in PySpark
By the end of this video, you’ll be able to use select() to manage your data columns easily and effectively. Don’t forget to like, subscribe, and hit the bell icon for more PySpark tutorials!