mne.viz.plot_ica_scores#
- mne.viz.plot_ica_scores(ica, scores, exclude=None, labels=None, axhline=None, title='ICA component scores', figsize=None, n_cols=None, show=True)[source]#
Plot scores related to detected components.
Use this function to asses how well your score describes outlier sources and how well you were detecting them.
- Parameters:
- icainstance of
mne.preprocessing.ICA The ICA object.
- scoresarray_like of
float, shape (n_ica_components,) |listofarray Scores based on arbitrary metric to characterize ICA components.
- excludearray_like of
int The components marked for exclusion. If None (default), ICA.exclude will be used.
- labels
str|list| ‘ecg’ | ‘eog’ |None The labels to consider for the axes tests. Defaults to None. If list, should match the outer shape of
scores. If ‘ecg’ or ‘eog’, thelabels_attributes will be looked up. Note that ‘/’ is used internally for sublabels specifying ECG and EOG channels.- axhline
float Draw horizontal line to e.g. visualize rejection threshold.
- title
str The figure title.
- figsize
tupleofint|None The figure size. If None it gets set automatically.
- n_cols
int|None Scores are plotted in a grid. This parameter controls how many to plot side by side before starting a new row. By default, a number will be chosen to make the grid as square as possible.
- show
bool Show figure if True.
- icainstance of
- Returns:
- figinstance of
Figure The figure object.
- figinstance of