PLT hist distribusi normal acak
# Implementation of matplotlib function
import matplotlib
import numpy as np
import matplotlib.pyplot as plt
np.random.seed(10**7)
mu = 121
sigma = 21
x = mu + sigma * np.random.randn(1000)
num_bins = 100
n, bins, patches = plt.hist(x, num_bins,
density = 1,
color ='green',
alpha = 0.7)
y = ((1 / (np.sqrt(2 * np.pi) * sigma)) *
np.exp(-0.5 * (1 / sigma * (bins - mu))**2))
plt.plot(bins, y, '--', color ='black')
plt.xlabel('X-Axis')
plt.ylabel('Y-Axis')
plt.title('matplotlib.pyplot.hist() function Example\n\n',
fontweight ="bold")
plt.show()
Crazy Cobra