Рисунки распределений в пайтоне

import matplotlib.pyplot as plt

# sum_ = 0
# for i in range(0, 100000):
#     sum_ += rayleigh(3)

# print('real', sum_ / 100000)
# print('mean', 3 * sqrt(math.pi / 2))

cnt = 100
sigma = 2

times = sorted(rand() for i in range(0, cnt))
# times = sorted(exp(1) for i in range(0, cnt))
# times = sorted(rayl(sigma) for i in range(0, cnt))

probs = [i / cnt for i in range(0, cnt)]

plt.figure(figsize=(5,5))
plt.plot(times, probs)
plt.xticks(np.arange(0, 5, 0.5))
plt.show()
plt.hist(times, bins=15, rwidth=0.9, density=True)
plt.show()