In PySpark,fillna() from DataFrame class or fill() from DataFrameNaFunctions is used to replace NULL/None values on all or selected multiple columns with either zero(0), empty string, space, or any constant literal values. AdvertisementsWhile working on PySpark DataFrame we often need to ...
By using PySpark SQL functionregexp_replace()you can replace a column value with a string for another string/substring.regexp_replace()usesJava regexfor matching, if the regex does not match it returns an empty string, the below example replaces the street nameRdvalue withRoadstring onaddressc...