Creating Buckets in Pandas using Query

It is quite easy to create buckets based on one column using query. Note you can also use qcut

 

bucket1 =df.query(‘Column_1 >=0 and Column_1 <0.25’)

bucket2 =df.query(‘Column_1 >=0.25 and Column_1 <0.5’)

bucket3 =df.query(‘Column_1 >=0.5 and Column_1 <0.75’)

bucket4 =df.query(‘Column_1 >=0.75 and Column_1 <=1’)

Load Multipe CSV files in PySpark

spark= SparkSession.builder \
.master(“local”) \
.appName(“Data Exploration”) \
.getOrCreate()

#load data as Spark DataFrame
data2=spark.read.format(“csv”) \
.option(“header”,”true”) \
.option(“mode”,”DROPMALFORMED”) \
.load(‘/home/Desktop//input/*.csv’)

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