mne.viz.plot_head_positions#
- mne.viz.plot_head_positions(pos, mode='traces', cmap='viridis', direction='z', show=True, destination=None, info=None, color='k', axes=None)[source]#
Plot head positions.
- Parameters:
- pos
ndarray
, shape (n_pos, 10) |list
ofndarray
The head position data. Can also be a list to treat as a concatenation of runs.
- mode
str
Can be ‘traces’ (default) to show position and quaternion traces, or ‘field’ to show the position as a vector field over time.
- cmapcolormap
Colormap to use for the trace plot, default is “viridis”.
- direction
str
Can be any combination of “x”, “y”, or “z” (default: “z”) to show directional axes in “field” mode.
- show
bool
Show figure if True. Defaults to True.
- destination
str
| array_like, shape (3,) |None
The destination location for the head, assumed to be in head coordinates. See
mne.preprocessing.maxwell_filter()
for details.New in version 0.16.
- info
mne.Info
|None
The
mne.Info
object with information about the sensors and methods of measurement. If provided, will be used to show the destination position whendestination is None
, and for showing the MEG sensors.New in version 0.16.
- colorcolor object
The color to use for lines in
mode == 'traces'
and quiver arrows inmode == 'field'
.New in version 0.16.
- axesarray_like, shape (3, 2)
The matplotlib axes to use. Only used for
mode == 'traces'
.New in version 0.16.
- pos
- Returns:
- figinstance of
matplotlib.figure.Figure
The figure.
- figinstance of
Examples using mne.viz.plot_head_positions
#
Extracting and visualizing subject head movement
Signal-space separation (SSS) and Maxwell filtering
Maxwell filter data with movement compensation
Annotate movement artifacts and reestimate dev_head_t