mne.viz.plot_ica_overlay#

mne.viz.plot_ica_overlay(ica, inst, exclude=None, picks=None, start=None, stop=None, title=None, show=True, n_pca_components=None, *, on_baseline='warn', verbose=None)[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.Raw or mne.Evoked: The signal to plot. If Raw, the raw data is displayed before and after cleaning. In a second panel, the cross-channel average will be displayed. Since dipolar sources will be canceled out, this representation is sensitive to artifacts. If Evoked, butterfly traces for signals before and after cleaning will be superimposed.
excludearray_like of int | None (default): The components marked for exclusion. If None (default), ICA.exclude will be used.
picksstr | array_like | 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, stopfloat | None: The first and last time point (in seconds) of the data to plot. If inst is a Raw object, start=None and stop=None will be translated into start=0. and stop=3., respectively. For Evoked, None refers to the beginning and end of the evoked signal.
titlestr | None: The title of the generated figure. If None (default), no title is displayed.
showbool: Show the figure if True.
n_pca_componentsint | float | None: The number of PCA components to be kept, either absolute (int) or fraction of the explained variance (float). If None (default), the ica.n_pca_components from initialization will be used in 0.22; in 0.23 all components will be used.

New in version 0.22.
on_baselinestr: How to handle baseline-corrected epochs or evoked data. Can be 'raise' to raise an error, 'warn' (default) to emit a warning, 'ignore' to ignore, or “reapply” to reapply the baseline after applying ICA.

New in version 1.2.
verbosebool | str | int | None: Control verbosity of the logging output. If None, use the default verbosity level. See the logging documentation and mne.verbose() for details. Should only be passed as a keyword argument.

Returns:

figinstance of Figure: The figure.