Apache Spark 3 for Data Engineering and Analytics with Python - Adding, Renaming, and Dropping Columns

This video tutorial covers how to manipulate dataframes in PySpark by adding, renaming, and dropping columns. It begins with setting up the environment and importing necessary functions. The tutorial demonstrates adding a 'salary increase' column, verifying its addition, and performing advanced operations like renaming and dropping columns. The session concludes with finalizing changes and addressing any errors encountered.

What are the main operations you can perform on a data frame as mentioned in the lesson?

How do you add a new column to a data frame?

What is the purpose of the 'withColumn' function in data frame operations?

How can you confirm the addition of a new column in a data frame?

Explain how to rename a column in a data frame.

Describe the process of rounding off values in a new column.

What steps are involved in dropping a column from a data frame?