Now, in this post, we will learn how to fill the null values with the previous not-null value in a spark dataframe using the backfill method. To demonstrate this with the help of an example, we will create a sample table with some dummy data. To start this demo, let’s create the...
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 ...
ion-elgreco Is your feature request related to a problem or challenge? I would like to be able to fill_nulls per col/expr and on the dataframe level, akin to polars/pyspark/pandas Describe the solution you'd like Add a fill_null method to DataFrame struct, add fill_null logical expr. ...