pyspark.sql.functions provides a function split() to split DataFrame string Column into multiple columns. In this tutorial, you will learn how to split
In Pandas, theapply()function is used to execute a function that can be used to split one column value into multiple columns. For that, we have to pass the lambda function andSeries.str.split()intopandas apply() function, then call the DataFrame column, which we want to split into two ...
In this article, you have learned to split a Pandas DataFrame based on column value condition and also I explain using thedf.groupby()function, the process of splitting the DataFrame based on either single-column value/multiple-column values. Happy learning!! Related Articles PySpark Convert Strin...
1. Split DataFrame column to multiple columns From the above DataFrame, columnnameof type String is a combined field of the first name, middle & lastname separated by comma delimiter. On the below example, we will split this column intoFirstname,MiddleNameandLastNamecolumns. // Split DataFrame...