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From Pandas to PySpark DataFrame

Writing UDF

Explore how to define and apply User Defined Functions in PySpark by creating Python functions, adding type annotations for seamless runtime translation, and enabling custom transformations on dataframes.

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Create a UDF

We need to provide type annotation while defining UDF because it helps PySpark translate code between Python and Scala during runtime. Now, let’s write some UDFs. There are different ways to convert a Python function into UDF, but we’ll use one simple way that is listed below:

  • Define a Python function. ...