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5 Examples to Master PySpark Window Operations
A must-know tool for data analysis
All of the data analysis and manipulation tools I’ve worked with have window operations. Some are more flexible and capable than others but it is a must to be able to do calculations over a window.
What is a window in data analysis?
Window is a set of rows that are related in some ways. This relation can be of belonging to the same group or being in the n consecutive days. Once we generate the window with the required constraints, we can do calculations or aggregations over it.
In this article, we will go over 5 detailed examples to have a comprehensive understanding of window operations with PySpark. We’ll learn to create windows with partitions, customize these windows, and how to do calculations over them.
PySpark is a Python API for Spark, which is an analytics engine used for large-scale data processing.
Data
I prepared a sample dataset with mock data for this article, which you can download from my datasets repository. The dataset we’ll use in this article is called “sample_sales_pyspark.csv”.
Let’s start a spark session and create a DataFrame from this dataset.
from pyspark.sql import SparkSession…
