正态分布

卖地瓜的小甲鱼

import math
import matplotlib.pyplot as plt
# 正态分布
def normal_pdf(x, mu=0, sigma=1):
    sqrt_two_pi = math.sqrt(2 * math.pi)
    return (math.exp(-(x - mu) ** 2) / 2 * sigma ** 2 / (sqrt_two_pi * sigma))

xs = [x / 10.0 for x in range(-50,50)]

plt.rc("font",family='MicroSoft YaHei',weight="bold") # 解决中文无法显示的问题
plt.plot(xs,[normal_pdf(x,sigma=1) for x in xs],'-',label='mu=0,sigma=1')
plt.plot(xs,[normal_pdf(x,sigma=2) for x in xs],'--',label='mu=0,sigma=2')
plt.plot(xs,[normal_pdf(x,sigma=0.5) for x in xs],':',label='mu=0,sigma=0.5')
plt.plot(xs,[normal_pdf(x,mu=-1) for x in xs],'-.',label='mu=-1,sigma=1')
plt.legend()
plt.title("多个正态分布的概率密度函数")
plt.show()

                               
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