subhsaha

import org.apache.spark.sql.expressions.Window
import org.apache.spark.sql.functions._

val winsales = spark.table("winsales")

val windowSpec = Window.orderBy(col("dateid"), col("salesid")).rowsBetween(Window.unboundedPreceding, Window.currentRow)

val result = winsales
  .select(col("salesid"), col("dateid"), col("sellerid"), col("qty"),

subhsaha

a = [1,2,3,4,5,6,7,8,9,'cat']
print(len(a)*2)

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a = [1,2,3,4,5,6,7,8,9,'cat']
print(len(a))

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import pandas as pd
df = pd.DataFrame(pd.read_csv("Lengthofnationalhighway.csv"))
df = df.melt(id_vars=['Loc'])
df.to_csv("Lengthofnationalhighwaytwo.csv",index = False)

subhsaha

import pandas as pd

marks = {'student x':[10,20,30,40,50,60],
             'student Y':[80,90,100,10,20,30],
             'student Z':[40,50,60,70,80,90]}

df = pd.DataFrame(marks) #creating DataFrame from dictionary 
print(df) #printing before renameing
df.rename(columns={'student x':'Week_Number'})

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import pandas as pd
marks = {'student x':[10,20,30,40,50,60],
             'student Y':[80,90,100,10,20,30],
             'student Z':[40,50,60,70,80,90]}
print(marks) #printing python dictionary directly 
pd.DataFrame(marks) #converting it into DataFrame

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  k = [2,4,4,1,1,7,9,'bela']

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def x():
    print("Hello Hey ! ")
    x()
x()