python 正态分布密度函数

Python中，可以使用SciPy库的stats模块来计算正态分布的概率密度函数。具体代码如下:

import numpy as np
import matplotlib.pyplot as plt
from scipy.stats import norm

x = np.linspace(-5, 5, 100)  # 生成一组x值
y = norm.pdf(x, 0, 1)  # 计算正态分布的概率密度函数值

plt.plot(x, y)
plt.xlabel('x')
plt.ylabel('Probability Density')
plt.title('Normal Distribution PDF')
plt.show()

其中，norm.pdf函数用于计算正态分布的概率密度函数值，参数依次为x值、均值和标准差。以上代码将生成一个从-5到5的x坐标范围内的正态分布概率密度函数图形。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
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