PySpark withColumn – A Comprehensive Guide on PySpark “withColumn” and Examples
The “withColumn” function in PySpark allows you to add, replace, or update columns in a DataFrame. It is a DataFrame transformation operation, meaning it returns a new DataFrame with the specified changes, without altering the original DataFrame The “withColumn” function is particularly useful when you need to perform column-based operations like renaming, changing the data …
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