mne.viz.set_3d_backend¶

mne.viz.set_3d_backend(backend_name, verbose=None)[source]¶

Set the backend for MNE.

The backend will be set as specified and operations will use that backend.

Parameters

backend_namestr: The 3d backend to select. See Notes for the capabilities of each backend.
verbosebool, str, int, or None: If not None, override default verbose level (see mne.verbose() and Logging documentation for more). If used, it should be passed as a keyword-argument only.

Notes

This table shows the capabilities of each backend (“✓” for full support, and “-” for partial support):

3D function:	mayavi	pyvista	notebook
`plot_vector_source_estimates()`	✓	✓	✓
`plot_source_estimates()`	✓	✓	✓
`plot_alignment()`	✓	✓	✓
`plot_sparse_source_estimates()`	✓	✓	✓
`plot_evoked_field()`	✓	✓	✓
`plot_sensors_connectivity()`	✓	✓	✓
`snapshot_brain_montage()`	✓	✓	✓
`link_brains()`		✓

Feature:
Large data	✓	✓	✓
Opacity/transparency	✓	✓	✓
Support geometric glyph	✓	✓	✓
Smooth shading	✓	✓	✓
Subplotting	✓	✓	✓
Inline plot in Jupyter Notebook	✓		✓
Inline plot in JupyterLab	✓		✓
Inline plot in Google Colab
Toolbar		✓	✓