code: def show_mesh(mesh):
      r
      lim_max = sp.amax(mesh.verts, axis=0)
      lim_min = sp.amin(mesh.verts, axis=0)
  
      # Display resulting triangular mesh using Matplotlib.
      fig = plt.figure()
      ax = fig.add_subplot(111, projection='3d')
  
      # Fancy indexing: `verts[faces]` to generate a collection of triangles
      mesh = Poly3DCollection(mesh.verts[mesh.faces])
      mesh.set_edgecolor('k')
  
      ax.add_collection3d(mesh)
      ax.set_xlabel("x-axis")
      ax.set_ylabel("y-axis")
      ax.set_zlabel("z-axis")
      ax.set_xlim(lim_min[0], lim_max[0])
      ax.set_ylim(lim_min[1], lim_max[1])
      ax.set_zlim(lim_min[2], lim_max[2])
  
      return fig
docs: r"""
      Visualizes the mesh of a region as obtained by ``get_mesh`` function in
      the ``metrics`` submodule.
  
      Parameters
      ----------
      mesh : tuple
          A mesh returned by ``skimage.measure.marching_cubes``
  
      Returns
      -------
      fig : Matplotlib figure
          A handle to a matplotlib 3D axis