PySpark map() Transformationis used to loop/iterate through the PySpark DataFrame/RDD by applying the transformation function (lambda) on every element (Rows and Columns) of RDD/DataFrame. PySpark doesn’t have
While iteritems() is available, using a simple for loop to iterate through a Series is also an option, providing direct access to values. The apply() function provides a versatile way to apply a custom function to each element in a Series, offering flexibility without the need for manual ...
Theofficial Pandas documentationwarns that iteration is a slow process. If you're iterating over aDataFrameto modify the data, vectorization would be a quicker alternative. Also, it's discouraged to modify data while iterating over rows as Pandas sometimes returns a copy of the data in the ro...