mne.channels.Layout

class mne.channels.Layout(box, pos, names, ids, kind)

Sensor layouts.

Layouts are typically loaded from a file using read_layout. Only use this class directly if you’re constructing a new layout.

Parameters

boxtuple of length 4

The box dimension (x_min, x_max, y_min, y_max).

posarray, shape=(n_channels, 4)

The positions of the channels in 2d (x, y, width, height).

nameslist

The channel names.

idslist

The channel ids.

kindstr

The type of Layout (e.g. ‘Vectorview-all’).

Methods

__hash__(/)	Return hash(self).
plot([picks, show])	Plot the sensor positions.
save(fname)	Save Layout to disk.

plot(picks=None, show=True)

Plot the sensor positions.

Parameters

pickslist | slice | None

Channels to include. Slices and lists of integers will be interpreted as channel indices. None (default) will pick all channels. Note that channels in info['bads'] will be included if their indices are explicitly provided.

showbool

Show figure if True. Defaults to True.

Returns

figinstance of matplotlib.figure.Figure

Figure containing the sensor topography.

Notes

New in version 0.12.0.

Examples using plot:

Working with sensor locations

save(fname)

Save Layout to disk.

Parameters

fnamestr

The file name (e.g. ‘my_layout.lout’).

See also

read_layout

Examples using save:

Working with sensor locations

Examples using mne.channels.Layout

Working with sensor locations

Visualizing epoched data

How to convert 3D electrode positions to a 2D image.

Compute seed-based time-frequency connectivity in sensor space