python机器学习库numpy---14、numpy实现正态分布
一、总结
一句话总结：
numpy实现正态分布就是 x轴模拟一些点，y轴根据正态分布的公式算出这些点的结果，然后画图即可
# Python实现正态分布
# 绘制正态分布概率密度函数
import numpy as np
import matplotlib.pyplot as plt
u = 0 # 均值μ
sig = np.sqrt(0.2) # 标准差δ
print(sig)
x = np.linspace(u - 3 * sig, u + 3 * sig, 150)
y = np.exp(-(x - u) ** 2 / (2 * sig ** 2)) / (np.sqrt(2 * np.pi) * sig)
print(x)
print("=" * 80)
print(y)
plt.plot(x, y, "r-", linewidth=2)
plt.grid(True)
plt.show()
二、numpy实现正态分布
博客对应课程的视频位置：14、numpy实现正态分布-范仁义-读书编程笔记
https://www.fanrenyi.com/video/38/357
0.4472135954999579
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1.25159778 1.26960638 1.28761498 1.30562358 1.32363219 1.34164079]
================================================================================
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