test_analyse.py

#%%
import time
import random
import matplotlib.pyplot as plt
import numpy as np
#%matplotlib inline

nvalues = [100, 500, 1000, 1500, 2000, 2500, 3000]
timesEtudiants1 = []

for i in nvalues:

    random.seed()
    p = 12**2 # Ordre de grandeur des valeurs
    liste = []
    
    for x in range(i): liste.append(random.randint(0, p))

    a=time.perf_counter()
    e1 = []
    for n in liste:
        e1.append(n)
    b=time.perf_counter()
    timesEtudiants1.append(b-a)

plt.plot(nvalues,timesEtudiants1, "r-", label="Etudiants 1")
plt.title("Comparaison des performances")
# %%