name
histogram
m
s
s2
import matplotlib.pyplot as plt
import numpy as np
normal_distribution
m, s2
x = np.linspace(-5, 5, 101)
y = np.exp(-(x - m)**2 / (2 * s2)) / np.sqrt(2 * np.pi * s2)
plt.plot(x, y, label='dummy', markersize=0)
normal_distribution
0, 0.2
normal_distribution
0, 1.0
normal_distribution
0, 5.0
normal_distribution
-2, 0.5
plt.show()
[]