Here is the article,

https://medium.com/@tagnev.vengat/pyspark-transpose-rows-into-columns-cbaa55dcf754

Introduction:

In data processing tasks, it’s often necessary to pivot data from a row-wise format to a column-wise format. This transformation, known as transposing rows into columns, is a common operation in data analysis and reporting tasks. PySpark, a powerful Python library for big data processing, offers multiple approaches to achieve this transformation. In this article, we’ll explore two different approaches and compare their effectiveness in handling missing values using the fillna method.

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