How do we apply our vectorized sales tax Pandas UDF to compute a taxed_amount column?
Passing a Column argument into the pandas_udf within withColumn(), executing in vectorized batches.
Applying vectorized financial models and pre-trained Python scoring algorithms across millions of rows.
from pyspark.sql.functions import col
df = df.withColumn("taxed_amount", add_sales_tax(col("gross_amount")))Practice typing production-grade PySpark code for Applying Vectorized Pandas UDFs in withColumn().