PySpark fillna() & fill() - Replace NULL/None Values ...
sparkbyexamples.com › pyspark › pyspark-fillna-fillPySpark. In PySpark, DataFrame. fillna () or DataFrameNaFunctions.fill () is used to replace NULL/None values on all or selected multiple DataFrame columns with either zero (0), empty string, space, or any constant literal values. While working on PySpark DataFrame we often need to replace null values since certain operations on null value return error hence, we need to graciously handle nulls as the first step before processing.