求助：恢复JupyterLab v4.0.10中3D绘图的交互性

• 先升级适配JupyterLab 4.x版本的ipympl：

  pip install --upgrade ipympl
  

• 检查并启用JupyterLab的widget扩展：
  运行命令查看已安装扩展：

  jupyter labextension list
  

  如果输出里没有@jupyter-widgets/jupyterlab-manager和ipympl，执行以下安装命令：

  jupyter labextension install @jupyter-widgets/jupyterlab-manager ipympl
  

  安装完成后重启JupyterLab生效。
• 代码中保持使用%matplotlib widget魔法命令，无需替换为notebook或inline。若仍未恢复交互，可尝试在代码中显式绑定canvas后端：

  %matplotlib widget
  import numpy as np
  import matplotlib.pyplot as plt
  from mpl_toolkits.mplot3d import Axes3D
  from ipympl.backend_nbagg import FigureCanvasNbAgg
  
  m = np.array([[1,2,3,4,5,6,7,8,9,10],
                [1,2,3,4,5,6,7,8,9,10],
                [1,2,3,4,5,6,7,8,9,10],
                [1,2,3,4,5,6,7,8,9,10]])
  x = np.arange(0,m.shape[0])
  y = np.arange(0,m.shape[1])
  X, Y = np.meshgrid(x, y)
  Z = m[X,Y]
  
  fig = plt.figure()
  fig.canvas = FigureCanvasNbAgg(fig)
  ax = plt.axes(projection='3d')
  ax.plot_wireframe(X,Y,Z)
  plt.show()
  

内容的提问来源于stack exchange，提问作者Jihyun