Processing dates in PySpark

import datetime
from pyspark.sql.functions import year, month, dayofmonth

elevDF = sc.parallelize([
    (datetime.datetime(1994, 1, 1, 0, 0), 1, 638.55),
    (datetime.datetime(1994, 1, 1, 0, 0), 2, 638.55),
    (datetime.datetime(1994, 1, 1, 0, 0), 3, 638.55),
    (datetime.datetime(1994, 1, 1, 0, 0), 4, 638.55),
    (datetime.datetime(1994, 1, 1, 0, 0), 5, 638.55)
]).toDF(["date", "hour", "value"])

elevDF.select(
    year("date").alias('year'), 
    month("date").alias('month'), 
    dayofmonth("date").alias('day')
).show()

elevDF1 = sqlContext.createDataFrame(sc.parallelize([
        Row(date=datetime.datetime(1994, 1, 1, 0, 0), hour=1, value=638.55),
        Row(date=datetime.datetime(1994, 1, 1, 0, 0), hour=2, value=638.55),
        Row(date=datetime.datetime(1994, 1, 1, 0, 0), hour=3, value=638.55),
        Row(date=datetime.datetime(1994, 1, 1, 0, 0), hour=4, value=638.55),
        Row(date=datetime.datetime(1994, 1, 1, 0, 0), hour=5, value=638.55)]))

(elevDF1
 .map(lambda (date, hour, value): (date.year, date.month, date.day))
 .collect())