从均值为42的二元标准正态分布中采样1000个点用seaborn画二维密度函数

import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt

mean = [4, 2]
cov = [[1, 0], [0, 1]] # 协方差矩阵

x, y = np.random.multivariate_normal(mean, cov, 1000).T
data = {'x': x, 'y': y}
df = pd.DataFrame(data)

sns.kdeplot(data=df, x='x', y='y', cmap='Blues', shade=True, shade_lowest=False)
plt.show()

运行结果：