三维高斯分布 抽样python

三维高斯分布抽样的Python代码如下：

import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D

def multivariate_gaussian_sampling(mean, cov, num_samples):
    samples = np.random.multivariate_normal(mean, cov, num_samples)
    return samples

mean = np.array([0, 0, 0])  # 均值向量
cov = np.array([[1, 0, 0], [0, 1, 0], [0, 0, 1]])  # 协方差矩阵
num_samples = 1000  # 抽样数量

samples = multivariate_gaussian_sampling(mean, cov, num_samples)

fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')
ax.scatter(samples[:, 0], samples[:, 1], samples[:, 2])

plt.show()