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_factor
float 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.
- kind
str Whether to plot the montage as ‘3d’ or ‘topomap’ (default).
- showbool
Show figure if True.
- sphere
float| array_like | instance ofConductorModel|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
ConductorModelto 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 v0.20.
Changed in version 1.1: Added
'eeglab'option.- axesinstance of
Axes| instance ofAxes3D|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 v1.4.
- verbosebool |
str|int|None Control verbosity of the logging output. If
None, use the default verbosity level. See the logging documentation andmne.verbose()for details. Should only be passed as a keyword argument.
- montageinstance of
- Returns:
- figinstance of
matplotlib.figure.Figure The figure object.
- figinstance of