May 20, 2020 · 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.
Filter row with string starts with in pyspark : Returns rows where strings of a row start with a provided substring. In our example, filtering by rows which starts with the substring “Em” is shown. ## Filter row with string starts with "Em" df.filter(df.name.startswith('Em')).show() So the resultant dataframe will be