问用python可视化三维多变量正态分布

EN

from mpl_toolkits.mplot3d import axes3d
import matplotlib.pyplot as plt
from matplotlib import cm
import numpy as np

def gauss1(x):
    return np.exp(-(x**2))

def gauss(x, y):
    return gauss1(x)*gauss1(2*y)

fig = plt.figure()
ax = fig.gca(projection='3d')
x = np.linspace(-3, 3, 100)
y = np.linspace(-3, 3, 100)
X, Y = np.meshgrid(x, y)
Z = gauss(X, Y)

ax.plot_surface(X, Y, Z, rstride=2, cstride=2, alpha=0.4, cmap=cm.coolwarm)
cset = ax.contourf(X, Y, Z, zdir='x', offset=-4, cmap=cm.coolwarm)
cset = ax.contourf(X, Y, Z, zdir='y', offset=4, cmap=cm.coolwarm)

ax.set_xlabel('X')
ax.set_ylabel('Y')
ax.set_zlabel('Z')

plt.show()