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import numpy as np
L=list(np.random.choice(['A','B','C','D','E','F'],100,p=[1/6,1/6,1/6,1/6,1/6,1/6]))
print(L)
print([[ev,L.count(ev)/len(L)] for ev in set(L)])
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def X(issue):
if issue in ['A','B','F']:
return 1.7
elif issue=='C':
return 1.8
else :
return 1.9
import numpy as np
L=[]
for k in range(100):
personne=np.random.choice(['A','B','C','D','E','F'],1,p=[1/6,1/6,1/6,1/6,1/6,1/6])
L.append(X(personne))
frequences=[[valeur,L.count(valeur)/len(L)] for valeur in set(L)]
print(frequences)
import matplotlib.pyplot as plt
for i in range(len(frequences)):
plt.plot([frequences[i][0],frequences[i][0]],[0,frequences[i][1]], linewidth=5 )
plt.show()
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B 7.C5D
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def X(issue):
if issue in ['A','B','F']:
return 1.7
elif issue=='C':
return 1.8
else :
return 1.9
def Y(issue):
if issue in ['A','B','C']:
return 80
else :
return 90
import numpy as np
L=[]
for k in range(100):
personne=np.random.choice(['A','B','C','D','E','F'],1,p=[1/6,1/6,1/6,1/6,1/6,1/6])
L.append((X(personne),Y(personne)))
freq=[[valeur,L.count(valeur)/len(L)] for valeur in set(L)]
print(freq)
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
ax = Axes3D(plt.figure())
for i in range(len(freq)):
ax.plot([freq[i][0][0],freq[i][0][0]],[freq[i][0][1],freq[i][0][1]],[0,freq[i][1]] )
ax.set_xlabel('X')
ax.set_ylabel('Y')
ax.set_zlabel('fréquence')
plt.show()
B 7.C5D
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>B 7.C5D
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