mne.viz.plot_montage#

mne.viz.plot_montage(montage, scale_factor=20, show_names=True, kind='topomap', show=True, sphere=None, *, axes=None, verbose=None)[source]#

Plot a montage.

Parameters:

montageinstance of DigMontage: The montage to visualize.
scale_factorfloat: Determines the size of the points.
show_namesbool | list: Whether to display all channel names. If a list, only the channel names in the list are shown. Defaults to True.
kindstr: Whether to plot the montage as ‘3d’ or ‘topomap’ (default).
showbool: Show figure if True.
spherefloat | array_like | instance of ConductorModel | None | ‘auto’ | ‘eeglab’: The sphere parameters to use for the head outline. Can be array-like of shape (4,) to give the X/Y/Z origin and radius in meters, or a single float to give just the radius (origin assumed 0, 0, 0). Can also be an instance of a spherical ConductorModel to use the origin and radius from that object. If 'auto' the sphere is fit to digitization points. If 'eeglab' the head circle is defined by EEG electrodes 'Fpz', 'Oz', 'T7', and 'T8' (if 'Fpz' is not present, it will be approximated from the coordinates of 'Oz'). None (the default) is equivalent to 'auto' when enough extra digitization points are available, and (0, 0, 0, 0.095) otherwise.

New in version 0.20.

Changed in version 1.1: Added 'eeglab' option.
axesinstance of Axes | instance of Axes3D | None: Axes to draw the sensors to. If kind='3d', axes must be an instance of Axes3D. If None (default), a new axes will be created.

New in version 1.4.
verbosebool | str | int | None: Control verbosity of the logging output. If None, use the default verbosity level. See the logging documentation and mne.verbose() for details. Should only be passed as a keyword argument.

Returns:

figinstance of matplotlib.figure.Figure: The figure object.