Databricks PySpark Explode and Pivot Columns

The <code>explode</code> function in PySpark is used to transform a column with an array of values into multiple rows. Each row of the resulting DataFrame will contain one element of the original array column. Here is an example of how to use the <code>explode</code> function: <pre> from pyspark.sql.functions import explode</pre> <pre> # create a sample DataFrame data = [("Alice", [1, 2, 3]), ("Bob", [4, 5]), ("Charlie", [6])] df = spark.createDataFrame(data, ["name", "numbers"])# explode the numbers column df_exploded = df.select("name", explode("numbers").alias("number"))# show the result df_exploded.show()</pre> <a href="https://medium.com/@shuklaprashant9264/databricks-pyspark-explode-and-pivot-columns-a8d1b4e713f1">Website</a>