Find S

import csv
with open('C:/Users/Hp/Desktop/enjoysport.csv')as f:
    reader=csv.reader(f)
    a=list(reader)

print(a)
n = len(a[0])-1     #number of elements in row - 1(excluding the last column(bcz its yes/no column))
print('\n\nTotal training instance : ',len(a)) # total number of examples/total rows

h = ['0']*n
print('\n\nInitial hypothesis :\n',h)

for i in range(0,len(a)):
    if a[i][n] == 'yes':        #if it is a positive example then
        for j in range(0,n):
            if h[j] == a[i][j] or h[j] == '0':
                h[j] = a[i][j]
            else:
                h[j] = '?'
print('\n\nThe maximally specific hypothesis for training instance is : \n',h,end="\n\n\n\n")


#OUTPUT
'''
[['sky ', 'airtemp', 'humidity', 'wind', 'water', 'forecast', 'enjysport'], ['sunny', 'warm', 'normal', 'strong', 'warm', 'same', 'yes'], ['sunny', 'warm', 'high', 'strong', 'warm', 'same', 'yes'], ['rainy', 'cold', 'high', 'strong', 'warm', 'change', 'no'], ['sunny', 'warm', 'high', 'strong', 'cold', 'change', 'yes']]


Total training instance :  5


Initial hypothesis :
 ['0', '0', '0', '0', '0', '0']


The maximally specific hypothesis for training instance is :
 ['sunny', 'warm', '?', 'strong', '?', '?']
'''