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How to perform SQL-like column transformations in PySpark : selectExpr

selectExpr, a method that simplifies and enhances data transformation. This article aims to demystify selectExpr, highlighting its advantages and demonstrating…

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Duplicating the contents of a string column a specified number of times

The repeat function in PySpark is used to duplicate the contents of a string column a specified number of times….

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Extracting specific parts of a string that match a given regular expression pattern using PySpark

The regexp_extract function in PySpark is used for extracting specific parts of a string that match a given regular expression…

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PySpark : Replace parts of a string that match a regular expression pattern using regexp_replace

PySpark provides powerful string manipulation capabilities, a crucial aspect of which is regular expression replacement. This article delves into the…

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PySpark Math Functions: A Deep Dive into cos() and cosh()

Among its numerous features, PySpark provides a comprehensive set of mathematical functions that are essential for data analysis. In this…

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Data Transformation and Analysis with PySpark ASCII

In today’s data-driven world, efficient data processing is essential for businesses to gain valuable insights and make informed decisions. PySpark…

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Returning the last value in a group during aggregation in PySpark

pyspark.sql.functions.last PySpark’s last() function is part of the PySpark SQL module, and it’s used to return the last value in…

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PySpark to count the number of elements in RDDs, DataFrames and DataSets

PySpark count() is a method applied to RDDs (Resilient Distributed Datasets), DataFrames, and DataSets in PySpark to count the number…

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