如何从matplotlib曲面图中删除特定点

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

# 创建数据集
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
fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')
ax.plot_surface(X, Y, Z, cmap='viridis')

# 删除特定点
indices_to_remove = [(i, j) for i in range(len(x)) for j in range(len(y)) if x[i] > 2 and y[j] < -2]
X = np.delete(X, indices_to_remove)
Y = np.delete(Y, indices_to_remove)
Z = np.delete(Z, indices_to_remove)

# 更新曲面图
ax.clear()
ax.plot_surface(X, Y, Z, cmap='viridis')

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

# 创建数据集
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
fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')
ax.plot_surface(X, Y, Z, cmap='viridis')

# 删除特定点
indices_to_remove = [(i, j) for i in range(len(x)) for j in range(len(y)) if x[i] > 2 and y[j] < -2]
X = np.delete(X, indices_to_remove)
Y = np.delete(Y, indices_to_remove)
Z = np.delete(Z, indices_to_remove)

# 更新曲面图
ax.clear()
ax.plot_surface(X, Y, Z, cmap='viridis')

plt.show()