mne.channels.Montage¶

class mne.channels.Montage(pos, ch_names, kind, selection)¶

Montage for EEG cap

Montages are typically loaded from a file using read_montage. Only use this class directly if you’re constructing a new montage.

Parameters:	pos : array, shape (n_channels, 3) The positions of the channels in 3d. ch_names : list The channel names. kind : str The type of montage (e.g. ‘standard_1005’). selection : array of int The indices of the selected channels in the montage file.

Notes

New in version 0.9.0.

Methods

__hash__() <==> hash(x)
plot([scale_factor, show_names])	Plot EEG sensor montage

__hash__() <==> hash(x)¶

plot(scale_factor=1.5, show_names=False)¶

Plot EEG sensor montage

Parameters:	scale_factor : float Determines the size of the points. Defaults to 1.5 show_names : bool Whether to show the channel names. Defaults to False
Returns:	fig : Instance of matplotlib.figure.Figure The figure object.