Day #33 - Pandas Deep Dive

	import pandas as pd
	#Create Data Frame with few columns and list values
	df = pd.DataFrame({'A':[1,2,3,4],'B':[5,6,7,8]})
	print(df)
	#Drop a Column
	df = df.drop('A',1)
	print(df)
	#Create column with int column names
	df = pd.DataFrame({1:[1,2,3,4],2:[1,2,3,4],10:[1,2,3,4]})
	print(df)
	df = df.drop(1,1)
	print(df)
	#Sample two rows from data frame
	print(df.sample(n=2))
	#Create list with 56 values
	a = []
	for i in range(1,56):
	a.append(i)
	import random
	#Sample 15 random entries
	feature2 = random.sample(a,15)
	print('feature')
	print(df)
	#Find maximum occuring values row wise
	print(df.mode(axis=1))

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Happy Learning!!!