import numpy as np
import pandas as pd
data =pd.read_csv('02ML.csv')
data
features = np.array(data)[:,:-1]
features
target = np.array(data)[:,-1]
target
for i,h in enumerate(features):
    if target[i]=='yes':
        specific_h=features[i].copy()
        break
print("Initialization of specific_h and general_h")
print(specific_h)
general_h=[["?" for i in range(len(specific_h))] for i in range (len(specific_h))]
print(general_h)
for i,h in enumerate(features):
    if target[i]=="yes":
     
      for x in range(len(specific_h)):
            if h[x]!=specific_h[x]:
                specific_h[x] ='?'
                general_h[x][x] ='?'
                
    if target[i]=="no":
         for x in range(len(specific_h)):
            if h[x]!=specific_h[x]:
                general_h[x][x]=specific_h[x]
            else:
                general_h[x][x]='?'
                    
print(specific_h,"\n")  

print(general_h,"\n")  
                   
indices =[i for i, val in enumerate(general_h) if val ==['?', '?', '?', '?', '?', '?']]
for i in indices:
    general_h.remove(['?', '?', '?', '?', '?', '?'])
        
        
        
        
print("\n Final specific_h:",specific_h,sep="\n")


print("\n Final general_h:",general_h,sep="\n")



sky,airtemp,humidity,waind,water,forcast,enjoy sport
sunny,warm,high,strong,warm,same,yes
sunny,warm,high,strong,warm,same,yes
rainy,cold,high,strong,warm,change,no
sunny,warm,high,strong,cool,change,yes