mne.viz.plot_cov#

mne.viz.plot_cov(cov, info, exclude=(), colorbar=True, proj=False, show_svd=True, show=True, verbose=None)[source]#

Plot Covariance data.

Parameters:

covinstance of Covariance: The covariance matrix.
infomne.Info: The mne.Info object with information about the sensors and methods of measurement.
excludelist of str | str: List of channels to exclude. If empty do not exclude any channel. If ‘bads’, exclude info[‘bads’].
colorbarbool: Show colorbar or not.
projbool: Apply projections or not.
show_svdbool: Plot also singular values of the noise covariance for each sensor type. We show square roots ie. standard deviations.
showbool: Show figure if True.
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:

fig_covinstance of matplotlib.figure.Figure: The covariance plot.
fig_svdinstance of matplotlib.figure.Figure | None: The SVD spectra plot of the covariance.