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.
The ICA object.
float, shape (n_ica_components,) |
Scores based on arbitrary metric to characterize ICA components.
The components marked for exclusion. If None (default), ICA.exclude will be used.
list| ‘ecg’ | ‘eog’ |
The labels to consider for the axes tests. Defaults to None.
If list, should match the outer shape of
If ‘ecg’ or ‘eog’, the
labels_ attributes will be looked up.
Note that ‘/’ is used internally for sublabels specifying ECG and
Draw horizontal line to e.g. visualize rejection threshold.
The figure title.
The figure size. If None it gets set automatically.
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 figure if True.
The figure object.