pyeeg.models.TRFEstimator.plot

TRFEstimator.plot(feat_id=None, ax=None, spatial_colors=False, info=None, picks=None, plot_kws={}, **kwargs)

Plot the TRF of the feature requested as a butterfly plot.

Parameters:

• feat_id (list | int) – Index of the feature requested or list of features. Default is to use all features.

• ax (array of axes (flatten)) – list of subaxes

• spatial_colors (bool) – Whether to color the butterfly lines according to the spatial position of the channels (requires info). Default: False.

• info (mne.Info or None) – Info instance from MNE, used for spatial coloring or for plotting interactively.

• picks (list of int, optional) – Channel indices to plot when info is given.

• plot_kws (**dict) – Parameters to pass to plt.plot() (so that you can control the line style, color, etc…)

• **kwargs (**dict) – Parameters to pass to plt.subplots()

Returns:

fig

Return type:

plt.Figure