Brain.add_ndvar(self, ndvar, cmap=None, vmin=None, vmax=None, smoothing_steps=None, colorbar=False, time_label='ms', lighting=False, contours=None, alpha=1, remove_existing=False)

Add data layer form an NDVar

ndvar : NDVar ([case,] source[, time])

NDVar with SourceSpace dimension and optional time dimension. If it contains a Case dimension, the average over cases is displayed. Values outside of the source-space, as well as masked values are set to 0, assuming a colormap in which 0 is transparent.

cmap : str | list of matplotlib colors | array

Colormap. Can be the name of a matplotlib colormap, a list of colors, or a custom lookup table (an n x 4 array with RBGA values between 0 and 255).

vmin, vmax : scalar

Endpoints for the colormap. Need to be set explicitly if cmap is a LUT array.

smoothing_steps : None | int

Number of smoothing steps if data is spatially undersampled (PySurfer Brain.add_data() argument).

colorbar : bool

Add a colorbar to the figure (use .plot_colorbar() to plot a colorbar separately).

time_label : str | callable

Label to show time point. Use 'ms' or 's' to display time in milliseconds or in seconds, or supply a custom formatter for time values in seconds (default is 'ms').

lighting : bool

The data overlay is affected by light sources (default False, i.e. data overlays appear luminescent).

contours : bool | sequence of scalar

Draw contour lines instead of a solid overlay. Set to a list of contour levels or True for automatic contours.

alpha : scalar

Alpha value for the data layer (0 = tranparent, 1 = opaque).

remove_existing : bool

Remove data layers that have been added previously (default False).