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@lakshay-arora
Created November 3, 2019 19:48
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from pyspark.ml.feature import StringIndexer, OneHotEncoderEstimator
# create object of StringIndexer class and specify input and output column
SI_batsman = StringIndexer(inputCol='Batsman_Name',outputCol='Batsman_Index')
SI_bowler = StringIndexer(inputCol='Bowler_Name',outputCol='Bowler_Index')
# transform the data
my_data = SI_batsman.fit(my_data).transform(my_data)
my_data = SI_bowler.fit(my_data).transform(my_data)
# view the transformed data
my_data.select('Batsman_Name', 'Batsman_Index', 'Bowler_Name', 'Bowler_Index').show(10)
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