old_contents: """
  ===========================
  Reading an inverse operator
  ===========================
  
  The inverse operator's source space is shown in 3D.
  """
  # Author: Alexandre Gramfort <alexandre.gramfort@telecom-paristech.fr>
  #
  # License: BSD (3-clause)
  
  import mne
  from mne.datasets import sample
  from mne.minimum_norm import read_inverse_operator
  
  print(__doc__)
  
  data_path = sample.data_path()
  subjects_dir = data_path + '/subjects'
  
  fname_trans = data_path + '/MEG/sample/sample_audvis_raw-trans.fif'
  
  inv_fname = data_path
  inv_fname += '/MEG/sample/sample_audvis-meg-oct-6-meg-inv.fif'
  
  inv = read_inverse_operator(inv_fname)
  
  print("Method: %s" % inv['methods'])
  print("fMRI prior: %s" % inv['fmri_prior'])
  print("Number of sources: %s" % inv['nsource'])
  print("Number of channels: %s" % inv['nchan'])
  
  src = inv['src']  # get the source space
  
  # Get access to the triangulation of the cortex
  
  print("Number of vertices on the left hemisphere: %d" % len(src[0]['rr']))
  print("Number of triangles on left hemisphere: %d" % len(src[0]['use_tris']))
  print("Number of vertices on the right hemisphere: %d" % len(src[1]['rr']))
  print("Number of triangles on right hemisphere: %d" % len(src[1]['use_tris']))
  
  ###############################################################################
  # Show result on 3D source space
  
  mne.viz.plot_alignment(subject='sample', subjects_dir=subjects_dir,
                         trans=fname_trans, surfaces='white', src=src)
  
new_contents: """
  ===========================
  Reading an inverse operator
  ===========================
  
  The inverse operator's source space is shown in 3D.
  """
  # Author: Alexandre Gramfort <alexandre.gramfort@telecom-paristech.fr>
  #
  # License: BSD (3-clause)
  
  import mne
  from mne.datasets import sample
  from mne.minimum_norm import read_inverse_operator
  from mne.viz import set_3d_view
  
  print(__doc__)
  
  data_path = sample.data_path()
  subjects_dir = data_path + '/subjects'
  
  fname_trans = data_path + '/MEG/sample/sample_audvis_raw-trans.fif'
  
  inv_fname = data_path
  inv_fname += '/MEG/sample/sample_audvis-meg-oct-6-meg-inv.fif'
  
  inv = read_inverse_operator(inv_fname)
  
  print("Method: %s" % inv['methods'])
  print("fMRI prior: %s" % inv['fmri_prior'])
  print("Number of sources: %s" % inv['nsource'])
  print("Number of channels: %s" % inv['nchan'])
  
  src = inv['src']  # get the source space
  
  # Get access to the triangulation of the cortex
  
  print("Number of vertices on the left hemisphere: %d" % len(src[0]['rr']))
  print("Number of triangles on left hemisphere: %d" % len(src[0]['use_tris']))
  print("Number of vertices on the right hemisphere: %d" % len(src[1]['rr']))
  print("Number of triangles on right hemisphere: %d" % len(src[1]['use_tris']))
  
  ###############################################################################
  # Show result on 3D source space
  
  fig = mne.viz.plot_alignment(subject='sample', subjects_dir=subjects_dir,
                               trans=fname_trans, surfaces='white', src=src)
  set_3d_view(fig, focalpoint=(0., 0., 0.06))
  
subject: Improve camera focus of plot_read_inverse (#6517)