How to Update Spark DataFrame Column Values using Pyspark?
A dataFrame in Spark is a distributed collection of data, which is organized into named columns. You can compare Spark dataFrame with Pandas dataFrame, but the only difference is Spark dataFrames are immutable, i.e. You cannot change data from already created dataFrame. In this article, we will check how to update spark dataFrame column values using pyspark. The same concept will be applied to Scala as well. How to Update Spark DataFrame Column Values using Pyspark? The Spark dataFrame is one of the widely used features in Apache Spark. All…