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PYSPARK • LESSON 27

Column Referencing with col()

Why and how do we use the col() function to reference DataFrame columns as first-class objects?

Beginner2 Minutes175 XP
🤔 THE QUESTION

Why and how do we use the col() function to reference DataFrame columns as first-class objects?

💡 WHAT IS IT?

col() creates a Column object enabling programmatic operations, method chaining, expressions, and type safety.

🎯 WHAT IS IT USED FOR?

Writing robust, refactorable transformation pipelines that support method chaining and arithmetic.

💻 EXAMPLE
from pyspark.sql.functions import col

df.select(col("order_id"), col("amount")).show()

🎯 Mission Objectives

Practice typing production-grade PySpark code for Column Referencing with col().

  • Import the col function
  • Reference columns as Column objects
  • Project typed column references