from pyspark.sql.types import *
schema = StructType([StructField('ID', IntegerType(), True),
StructField('Value', DoubleType(), True),
StructField('Category', StringType(), True),
StructField('Date', DateType(), True)])
dataset = sqlContext.read.format('csv') \
.options(header='true', delimiter= ',') \
.load('/mnt/<FOLDERNAME>/<FILENAME>.csv')