Category: spark
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Counting Null or None or Missing values with Precision in PySpark.
This article provides a comprehensive guide on how to accomplish this, a crucial step in data cleaning and preprocessing. Identifying…
How to derive the schema of a JSON string in PySpark
The schema_of_json function in PySpark is used to derive the schema of a JSON string. This schema can then be…
Reversing strings in PySpark
PySpark, the Python API for Apache Spark, is a powerful tool for large-scale data processing. In this guide, we explore…
Duplicating rows or values in a DataFrame
Data repetition in PySpark involves duplicating rows or values in a DataFrame to meet specific data analysis requirements. This process…
PySpark function that is used to convert angle measures from degrees to radians.
Within its extensive library of functions, radians plays a crucial role for users dealing with trigonometric operations. The radians function in…
PySpark function that is used to extract the quarter from a given date.
The quarter function in PySpark is used to extract the quarter from a given date, aiding in the analysis and…
Raising each element of a column to the power of a specified value in PySpark
In PySpark, the pow function is used to raise each element of a column to the power of a specified…
Dividing an ordered dataset into a specified number of approximately equal segments using PySpark
The ntile function in PySpark is used for dividing an ordered dataset into a specified number of approximately equal segments,…
How to find the date of the first occurrence of a specified weekday after a given date.
PySpark, the Python API for Apache Spark, offers a plethora of functions for handling big data efficiently. One such function…
Replacing NaN (Not a Number) values with a specified value in a column : nanvl
The nanvl function in PySpark is used to replace NaN (Not a Number) values with a specified value in a…
