mne.viz.plot_projs_topomap¶

mne.viz.
plot_projs_topomap
(projs, info, cmap=None, sensors=True, colorbar=False, res=64, size=1, show=True, outlines='head', contours=6, image_interp='bilinear', axes=None, vlim=(None, None), layout=None, sphere=None, extrapolate='box', border=0)[source]¶ Plot topographic maps of SSP projections.
 Parameters
 projs
list
ofProjection
The projections.
 infoinstance of
Info
The info associated with the channels in the projectors.
Changed in version 0.20: The positional argument
layout
has been deprecated and replaced byinfo
. cmapmatplotlib colormap  (colormap, bool)  ‘interactive’ 
None
Colormap to use. If tuple, the first value indicates the colormap to use and the second value is a boolean defining interactivity. In interactive mode (only works if
colorbar=True
) the colors are adjustable by clicking and dragging the colorbar with left and right mouse button. Left mouse button moves the scale up and down and right mouse button adjusts the range. Hitting space bar resets the range. Up and down arrows can be used to change the colormap. If None (default), ‘Reds’ is used for all positive data, otherwise defaults to ‘RdBu_r’. If ‘interactive’, translates to (None, True). sensorsbool 
str
Add markers for sensor locations to the plot. Accepts matplotlib plot format string (e.g., ‘r+’ for red plusses). If True, a circle will be used (via .add_artist). Defaults to True.
 colorbarbool
Plot a colorbar.
 res
int
The resolution of the topomap image (n pixels along each side).
 sizescalar
Side length of the topomaps in inches (only applies when plotting multiple topomaps at a time).
 showbool
Show figure if True.
 outlines‘head’  ‘skirt’ 
dict
None
The outlines to be drawn. If ‘head’, the default head scheme will be drawn. If ‘skirt’ the head scheme will be drawn, but sensors are allowed to be plotted outside of the head circle. If dict, each key refers to a tuple of x and y positions, the values in ‘mask_pos’ will serve as image mask. Alternatively, a matplotlib patch object can be passed for advanced masking options, either directly or as a function that returns patches (required for multiaxis plots). If None, nothing will be drawn. Defaults to ‘head’.
 contours
int
array
offloat
The number of contour lines to draw. If 0, no contours will be drawn. When an integer, matplotlib ticker locator is used to find suitable values for the contour thresholds (may sometimes be inaccurate, use array for accuracy). If an array, the values represent the levels for the contours. Defaults to 6.
 image_interp
str
The image interpolation to be used. All matplotlib options are accepted.
 axesinstance of
Axes
list
None
The axes to plot to. If list, the list must be a list of Axes of the same length as the number of projectors. If instance of Axes, there must be only one projector. Defaults to None.
 vlim
tuple
of length 2  ‘joint’ Colormap limits to use. If
tuple
, specifies the lower and upper bounds of the colormap (in that order); providingNone
for either of these will set the corresponding boundary at the min/max of the data (separately for each projector). The keyword value'joint'
will compute the colormap limits jointly across all provided projectors of the same channel type, using the min/max of the projector data. If vlim is'joint'
,info
must not beNone
. Defaults to(None, None)
. layout
None
Deprecated, will be removed in 0.20. Use
info
instead. sphere
float
 array_like str
None
The sphere parameters to use for the cartoon head. Can be arraylike of shape (4,) to give the X/Y/Z origin and radius in meters, or a single float to give the radius (origin assumed 0, 0, 0). Can also be a spherical ConductorModel, which will use the origin and radius. Can be “auto” to use a digitizationbased fit. Can also be None (default) to use ‘auto’ when enough extra digitization points are available, and 0.095 otherwise. Currently the head radius does not affect plotting.
New in version 0.20.
 extrapolate
str
Options:
 ‘box’ (default)
Extrapolate to four points placed to form a square encompassing all data points, where each side of the square is three times the range of the data in the respective dimension.
 ‘local’
Extrapolate only to nearby points (approximately to points closer than median interelectrode distance).
 ‘head’
Extrapolate to the edges of the head circle (does not work well with sensors outside the head circle).
New in version 0.20.
 border
float
 ‘mean’ Value to extrapolate to on the topomap borders. If
'mean'
then each extrapolated point has the average value of its neighbours.New in version 0.20.
 projs
 Returns
 figinstance of
matplotlib.figure.Figure
Figure distributing one image per channel across sensor topography.
 figinstance of
Notes
New in version 0.9.0.