mne.viz.plot_ica_overlay¶
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mne.viz.plot_ica_overlay(ica, inst, exclude=None, picks=None, start=None, stop=None, title=None, show=True)[source]¶ Overlay of raw and cleaned signals given the unmixing matrix.
This method helps visualizing signal quality and artifact rejection.
- Parameters
- icainstance of
mne.preprocessing.ICA The ICA object.
- instinstance of
mne.io.Rawormne.Evoked The signals to be compared given the ICA solution. If Raw input, The raw data are displayed before and after cleaning. In a second panel the cross channel average will be displayed. Since dipolar sources will be canceled out this display is sensitive to artifacts. If evoked input, butterfly plots for clean and raw signals will be superimposed.
- excludearray_like of
int|None(default) The components marked for exclusion. If None (default), ICA.exclude will be used.
- picks
str|list|slice|None Channels to include. Slices and lists of integers will be interpreted as channel indices. In lists, channel type strings (e.g.,
['meg', 'eeg']) will pick channels of those types, channel name strings (e.g.,['MEG0111', 'MEG2623']will pick the given channels. Can also be the string values “all” to pick all channels, or “data” to pick data channels. None (default) will pick all channels that were included during fitting.- start
int X-axis start index. If None from the beginning.
- stop
int X-axis stop index. If None to the end.
- title
str The figure title.
- showbool
Show figure if True.
- icainstance of
- Returns
- figinstance of
Figure The figure.
- figinstance of