import pyspark
from pyspark.sql import SparkSession
from pyspark.sql import Row
random_value_session = SparkSession.builder.appName(
'Random_Value_Session'
).getOrCreate()
rows = [['All England Open', 'March', 'Super 1000'],
['Malaysia Open', 'January', 'Super 750'],
['Korea Open', 'April', 'Super 500'],
['Hylo Open', 'November', 'Super 100'],
['Spain Masters', 'March', 'Super 300']]
columns = ['Tournament', 'Month', 'Level']
dataframe = random_value_session.createDataFrame(rows,
columns)
dataframe.show()
row_list = dataframe.collect()
print(row_list[0])
print(row_list[0].__getitem__('Level'))
print(row_list[0].__getitem__('Tournament'))
print(row_list[0].__getitem__('Level'))
print(row_list[0].__getitem__('Month'))