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PySpark’s map_keys function : Function used to retrieve the keys of a map column.
PySpark provides, map_keys stands out when it comes to handling maps (dictionary-like structures in PySpark). In this article, we will…
Harnessing the power of PySpark’s grouping function : Understanding grouping indicators in PySpark
pyspark.sql.functions.grouping This function shines a light on the intricacies of groupings in aggregate operations, indicating whether a specified column in…
Column-wise comparisons in PySpark using the greatest function: Getting the maximum value with PySpark’s greatest function
pyspark.sql.functions.greatest In the vast universe of PySpark’s functionalities, there exists a function that often becomes the unsung hero when dealing…
PySpark’s expm1: Precision in exponential computations : Mastering exponential calculations in PySpark
pyspark.sql.functions.expm1 This function computes the result of e raised to the power of a given number, and then subtracts one….
Finding the largest value among the list of columns provided using PySpark : greatest
This article presents a thorough exploration of the greatest function, supported by real-world examples. The greatest function in PySpark identifies the…
Calculating the factorial of a given number using PySpark : factorial
This article offers a comprehensive view of the factorial function, alongside hands-on examples. The factorial function in PySpark calculates the factorial…
Extracting hour component from timestamps using PySpark
This article focuses on the hour function, offering practical examples and scenarios to highlight its relevance. The hour function in…
Converting numbers or binary strings into their corresponding hexadecimal using PySpark.
PySpark provides, the hex function stands out when it comes to data transformations related to hexadecimal representation. This article sheds…
How to computes the inverse tangent (arc tangent) of a value using PySpark : trigonometric computations
atan function computes the inverse tangent (arc tangent) of a value, akin to java.lang.Math.atan(). The atan function is particularly useful when…
Identifying the Maximum value among columns with PySpark’s greatest function
When managing data in PySpark, it’s often useful to compare values across columns to determine the highest value for each…