Getting RuntimeError: Render window interactor must be initialized before processing events.

Describe the bug

When running the tutorial Compute coherence in source space using a MNE inverse solution, the compiler return an error

RuntimeError: Render window interactor must be initialized before processing events.

at line brain.show_view('lateral')

Actual results

The full tracebackl

---------------------------------------------------------------------------

RuntimeError                              Traceback (most recent call last)

/tmp/ipykernel_23683/1897321839.py in <module>
    139 print('t1')
    140 # Now we can visualize the coherence using the plot method.
--> 141 brain = coh_stc.plot('sample', 'inflated', 'both',
    142                      time_label='Coherence %0.1f Hz',
    143                      subjects_dir=subjects_dir,

~/anaconda3/envs/source_space_mne/lib/python3.9/site-packages/mne/source_estimate.py in plot(self, subject, surface, hemi, colormap, time_label, smoothing_steps, transparent, alpha, time_viewer, subjects_dir, figure, views, colorbar, clim, cortex, size, background, foreground, initial_time, time_unit, backend, spacing, title, show_traces, src, volume_options, view_layout, add_data_kwargs, brain_kwargs, verbose)
    649              src=None, volume_options=1., view_layout='vertical',
    650              add_data_kwargs=None, brain_kwargs=None, verbose=None):
--> 651         brain = plot_source_estimates(
    652             self, subject, surface=surface, hemi=hemi, colormap=colormap,
    653             time_label=time_label, smoothing_steps=smoothing_steps,

<decorator-gen-153> in plot_source_estimates(stc, subject, surface, hemi, colormap, time_label, smoothing_steps, transparent, alpha, time_viewer, subjects_dir, figure, views, colorbar, clim, cortex, size, background, foreground, initial_time, time_unit, backend, spacing, title, show_traces, src, volume_options, view_layout, add_data_kwargs, brain_kwargs, verbose)

~/anaconda3/envs/source_space_mne/lib/python3.9/site-packages/mne/viz/_3d.py in plot_source_estimates(stc, subject, surface, hemi, colormap, time_label, smoothing_steps, transparent, alpha, time_viewer, subjects_dir, figure, views, colorbar, clim, cortex, size, background, foreground, initial_time, time_unit, backend, spacing, title, show_traces, src, volume_options, view_layout, add_data_kwargs, brain_kwargs, verbose)
   1779     else:
   1780         with use_3d_backend(backend):
-> 1781             return _plot_stc(
   1782                 stc, overlay_alpha=alpha, brain_alpha=alpha,
   1783                 vector_alpha=alpha, cortex=cortex, foreground=foreground,

~/anaconda3/envs/source_space_mne/lib/python3.9/site-packages/mne/viz/_3d.py in _plot_stc(stc, subject, surface, hemi, colormap, time_label, smoothing_steps, subjects_dir, views, clim, figure, initial_time, time_unit, background, time_viewer, colorbar, transparent, brain_alpha, overlay_alpha, vector_alpha, cortex, foreground, size, scale_factor, show_traces, src, volume_options, view_layout, add_data_kwargs, brain_kwargs)
   1861                              'mayavi backend')
   1862     with warnings.catch_warnings(record=True):  # traits warnings
-> 1863         brain = Brain(**kwargs)
   1864     del kwargs
   1865 

~/anaconda3/envs/source_space_mne/lib/python3.9/site-packages/mne/viz/_brain/_brain.py in __init__(self, subject_id, hemi, surf, title, cortex, alpha, size, background, foreground, figure, subjects_dir, views, offset, show_toolbar, offscreen, interaction, units, view_layout, silhouette, theme, show)
    526                         decimate=self._silhouette["decimate"],
    527                     )
--> 528                 self._renderer.set_camera(**views_dicts[h][v])
    529 
    530         self.interaction = interaction

~/anaconda3/envs/source_space_mne/lib/python3.9/site-packages/mne/viz/backends/_pyvista.py in set_camera(self, azimuth, elevation, distance, focalpoint, roll, reset_camera, rigid)
    597                    focalpoint='auto', roll=None, reset_camera=True,
    598                    rigid=None):
--> 599         _set_3d_view(self.figure, azimuth=azimuth, elevation=elevation,
    600                      distance=distance, focalpoint=focalpoint, roll=roll,
    601                      reset_camera=reset_camera, rigid=rigid)

~/anaconda3/envs/source_space_mne/lib/python3.9/site-packages/mne/viz/backends/_pyvista.py in _set_3d_view(figure, azimuth, elevation, focalpoint, distance, roll, reset_camera, rigid)
    994         figure.plotter.camera.SetRoll(figure.plotter.camera.GetRoll() + roll)
    995 
--> 996     figure.plotter.update()
    997     _process_events(figure.plotter)
    998 

~/anaconda3/envs/source_space_mne/lib/python3.9/site-packages/pyvista/plotting/plotting.py in update(self, stime, force_redraw)
   1401             update_rate = self.iren.get_desired_update_rate()
   1402             if (curr_time - Plotter.last_update_time) > (1.0/update_rate):
-> 1403                 self.right_timer_id = self.iren.create_repeating_timer(stime)
   1404                 self.render()
   1405                 Plotter.last_update_time = curr_time

~/anaconda3/envs/source_space_mne/lib/python3.9/site-packages/pyvista/plotting/render_window_interactor.py in create_repeating_timer(self, stime)
    607         timer_id = self.interactor.CreateRepeatingTimer(stime)
    608         if hasattr(self.interactor, 'ProcessEvents'):
--> 609             self.process_events()
    610         else:
    611             self.interactor.Start()

~/anaconda3/envs/source_space_mne/lib/python3.9/site-packages/pyvista/plotting/render_window_interactor.py in process_events(self)
    629         # Note: This is only available in VTK 9+
    630         if not self.initialized:
--> 631             raise RuntimeError('Render window interactor must be initialized '
    632                                'before processing events.')
    633         self.interactor.ProcessEvents()

RuntimeError: Render window interactor must be initialized before processing events.

Additional information:

Ubuntu 18.04 Issue occur for both Python 3.7 and 3.9.

Package Version

---

aiohttp 3.7.4.post0 appdirs 1.4.4 argcomplete 1.12.3 argon2-cffi 20.1.0 async-generator 1.10 async-timeout 3.0.1 attrs 21.2.0 autobahn 21.3.1 Automat 20.2.0 backcall 0.2.0 bleach 4.0.0 certifi 2021.5.30 cffi 1.14.6 chardet 4.0.0 constantly 15.1.0 cryptography 3.4.8 cycler 0.10.0 debugpy 1.4.1 decorator 5.0.9 defusedxml 0.7.1 entrypoints 0.3 hyperlink 21.0.0 idna 3.2 imageio 2.9.0 importlib-metadata 4.8.1 incremental 21.3.0 ipykernel 6.2.0 ipython 7.27.0 ipython-genutils 0.2.0 ipywidgets 7.6.4 jedi 0.18.0 Jinja2 3.0.1 joblib 1.0.1 jsonschema 3.2.0 jupyter 1.0.0 jupyter-client 7.0.1 jupyter-console 6.4.0 jupyter-core 4.7.1 jupyterlab-pygments 0.1.2 jupyterlab-widgets 1.0.0 kiwisolver 1.3.2 MarkupSafe 2.0.1 matplotlib 3.4.3 matplotlib-inline 0.1.2 meshio 4.4.6 mistune 0.8.4 mne 0.23.4 multidict 5.1.0 nbclient 0.5.3 nbconvert 6.1.0 nbformat 5.1.3 nest-asyncio 1.5.1 notebook 6.4.3 numpy 1.21.2 packaging 21.0 pandocfilters 1.4.3 parso 0.8.2 pexpect 4.8.0 pickleshare 0.7.5 Pillow 8.3.2 pip 21.0.1 prometheus-client 0.11.0 prompt-toolkit 3.0.17 ptyprocess 0.7.0 pycparser 2.20 Pygments 2.10.0 pyparsing 2.4.7 PyQt5 5.15.4 PyQt5-Qt5 5.15.2 PyQt5-sip 12.9.0 pyrsistent 0.17.3 python-dateutil 2.8.2 pyvista 0.32.1 pyzmq 22.2.1 qtconsole 5.1.1 QtPy 1.10.0 scikit-learn 1.0 scipy 1.7.1 scooby 0.5.7 Send2Trash 1.8.0 setuptools 58.0.4 six 1.16.0 sklearn 0.0 terminado 0.9.4 testpath 0.5.0 threadpoolctl 2.2.0 tornado 6.1 tqdm 4.62.3 traitlets 5.1.0 Twisted 21.7.0 txaio 21.2.1 typing-extensions 3.10.0.2 vtk 9.0.3 wcwidth 0.2.5 webencodings 0.5.1 wheel 0.37.0 widgetsnbextension 3.5.1 wslink 1.0.7 yarl 1.6.3 zipp 3.5.0 zope.interface 5.4.0

[larsoner]

It could be VTK 9.0.3. On your 3.7 Python you can use vtk==9.0.1 and see if it helps.

I don’t see pyvistaqt installed, so I’m assuming you want this to run in the notebook? In theory it should auto-detect this, but try putting mne.viz.set_3d_backend('notebook') at the top of the example to see if it helps

[larsoner]

I think we’re good for now, thanks for letting us know it’s working @balandongiv !