用python画3D的高斯曲线，我想如果有多个峰怎么画？
import numpy as np
import matplotlib.pyplot as plt
import math
import mpl_toolkits.mplot3d
x, y = np.mgrid[-2:2:200j, -2:2:200j]
z=(1/2*math.pi*3**2)*np.exp(-(x**2+y**2)/2*3**2)
ax = plt.subplot(111, projection=‘3d‘)
ax.plot_surface(x, y, z, rstride=1, cstride=1, cmap=‘rainbow‘, alpha=0.1)#绘面
ax.set_xlabel(‘x‘)
ax.set_ylabel(‘y‘)
ax.set_zlabel(‘z‘)
plt.show()
用tensorflow 实现
import numpy as np
import matplotlib.pyplot as plt
import math
import mpl_toolkits.mplot3d
import tensorflow as tf
from sklearn import datasets
sess = tf.InteractiveSession()
gamma = tf.constant(-1.0)
x, y = np.mgrid[-2:2:0.01, -2:2:0.01]
x_data = tf.placeholder(shape=[400, 400], dtype=tf.float32)
y_data = tf.placeholder(shape=[400, 400], dtype=tf.float32)
Kernel = tf.exp(tf.multiply(gamma, tf.add((x_data*x_data),(y_data*y_data))))
Kernel = sess.run(Kernel, feed_dict={x_data: x,y_data: y})
ax = plt.subplot(111, projection=‘3d‘)
ax.plot_surface(x, y, Kernel, rstride=1, cstride=1, cmap=‘rainbow‘, alpha=0.9)#绘面
ax.set_xlabel(‘x‘)
ax.set_ylabel(‘y‘)
ax.set_zlabel(‘Kernel‘)
plt.show()
原文地址：https://www.cnblogs.com/marszhw/p/10962944.html