Pandas UDFs
This exercise covers Pandas UDFs, so that you can practice their syntax! As you work through this exercise, notice the differences between the Pyspark UDF from the last exercise and this type of UDF.
Remember, there's already a SparkSession called spark in your workspace!
Deze oefening maakt deel uit van de cursus
Introduction to PySpark
Oefeninstructies
- Define the
add_ten_pandas()function as a pandas UDF. - Add a new column to the DataFrame called
"10_plus"that applies the pandas UDF to thedfcolumn"value". - Show the resulting DataFrame.
Praktische interactieve oefening
Probeer deze oefening eens door deze voorbeeldcode in te vullen.
# Define a Pandas UDF that adds 10 to each element in a vectorized way
@____(DoubleType())
def add_ten_pandas(column):
return column + 10
# Apply the UDF and show the result
df.withColumn("10_plus", ____)
df.____