在已经计算Z的情况下，如何在matplotlib中创建曲面图？

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

fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')

ax.plot_surface(X, Y, Z, cmap='viridis')

ax.set_xlabel('X Label')
ax.set_ylabel('Y Label')
ax.set_zlabel('Z Label')
ax.set_title('Surface Plot')

plt.show()

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

# 创建3D坐标轴
fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')

# 准备数据
X = np.linspace(-5, 5, 100)
Y = np.linspace(-5, 5, 100)
X, Y = np.meshgrid(X, Y)
Z = np.sin(np.sqrt(X**2 + Y**2))

# 创建曲面图
ax.plot_surface(X, Y, Z, cmap='viridis')

# 设置坐标轴标签和图标题
ax.set_xlabel('X Label')
ax.set_ylabel('Y Label')
ax.set_zlabel('Z Label')
ax.set_title('Surface Plot')

# 显示图形
plt.show()