没有可见的圆盘，因为你正在创建的所有点到中心的距离都完全相同，而“内圈”和“外圈”之间的表面是无限薄的。为了看到圆盘，半径需要在0和你想要的值之间变化（在示例中为5）。

import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
R = np.linspace(0, 5, 100)
h = 5
u = np.linspace(0,  2*np.pi, 100)
x = np.outer(R, np.cos(u))
y = np.outer(R, np.sin(u))
fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')
ax.plot_surface(x,y,h) # z in case of disk which is parallel to XY plane is constant and you can directly use h
fig.show()

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的数据

如果高度有任何错误，请不要在plot_surface中使用H，而是使用

z = np.ones_like(x) * h 
ax.plot_surface(x, y, z)

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enter image description here

import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
r=5
h = 5
Rc = np.linspace(0, r, 3) # 0, radio, vertices desde la orilla hasta el centro 
uc = np.linspace(0,  2*np.pi, 28)
xc = np.outer(Rc, np.cos(uc))
yc= np.outer(Rc, np.sin(uc))
zc = np.ones_like(xc) * h  # Crear un array 2D lleno con el valor de h
fig = plt.figure()
ax = fig.add_axes(111, projection='3d')
circulo = ax.plot_surface(xc, yc, zc , color='#0000FF') 
plt.show()

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