Pyspark withcolumn lit. unique(). Creating dataframe for demonstration: The withColumn operation in PySpark is a flexible way to enhance DataFrames with new or updated columns. I now have an object that is a DataFrame. Aug 26, 2025 · Learn how to effectively use PySpark withColumn () to add, update, and transform DataFrame columns with confidence. Creates a Column of literal value. I want to export this DataFrame object (I have called it "table" Mar 27, 2024 · How is lit() different from expr() in PySpark? lit() is used to create a column with a constant literal value, while expr() is more versatile and can be used to express complex transformations and computations involving column expressions. functions), which map to Catalyst expression, are usually preferred over Python user defined functions. functions. when takes a Boolean Column as its condition. Say we have Skewed data like below how to create salting column and use it in aggregation. vgjf sabi rrdj vbf lzlgz lfwuu ietf burp plgpby voc