PySpark withColumn() is a transformation function of DataFrame which is used to change the value, convert the datatype of an existing column, create a new column, and many more. In…
Use PySpark withColumnRenamed() to rename a DataFrame column, we often need to rename one column or multiple (or all) columns on PySpark DataFrame, you can do this in several ways.…
Spark withColumn() is a DataFrame function that is used to add a new column to DataFrame, change the value of an existing column, convert the datatype of a column, derive…
In Spark withColumnRenamed() is used to rename one column or multiple DataFrame column names. Depends on the DataFrame schema, renaming columns might get simple to complex, especially when a column…