FAQ's
The PySpark filter() is a useful function for filtering rows from the DataFrame or RDD based on the condition given.
The PySpark function filter() filters the rows within the DataFrame and returns the new dataframe.
In PySpark, an operation called filter() transformation helps filter the elements from PySpark RDD. Further, it returns an RDD with elements that pass the given conditions.
There are certain methods to filter multiple columns in the PySpark DataFrame, such as:-
- filter() Method
- where() Method
In PySpark, DataFrame is a group of distributed data comprising rows and columns. Also, it is similar to Spark SQL’s relational table. Further, these dataframes are highly useful for many ML tasks and are very simple to estimate and control.