finds.py

import csv

def loadCsv(filename):
	lines = csv.reader(open(filename, "rt"))
	dataset = list(lines)
	for i in range(len(dataset)):
		dataset[i] = dataset[i]
	return dataset

attributes = ['Sky','Temp','Humidity','Wind','Water','Forecast']
print(attributes)

num_attributes = len(attributes)
filename = "Tennis.csv"#filename with the csv format
dataset = loadCsv(filename)
print(dataset)

hypothesis=['0'] * num_attributes
print("Intial Hypothesis")
print(hypothesis)
print("The Hypothesis are")
for i in range(len(dataset)):
	target = dataset[i][-1]
	if(target == 'Yes'):
		for j in range(num_attributes):
			if(hypothesis[j]=='0'):
				hypothesis[j] = dataset[i][j]
			if(hypothesis[j]!= dataset[i][j]):
				hypothesis[j]='?'
	print(i+1,'=',hypothesis)
print("Final Hypothesis")
print(hypothesis)