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.

infodict

Measurement info.

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

If not None, override default verbose level (see mne.verbose() and Logging documentation for more). If used, it should be passed as a keyword-argument only.

Returns
fig_covinstance of matplotlib.figure.Figure

The covariance plot.

fig_svdinstance of matplotlib.figure.Figure | None

The SVD spectra plot of the covariance.

See also

mne.compute_rank

Notes

For each channel type, the rank is estimated using mne.compute_rank().

Changed in version 0.19: Approximate ranks for each channel type are shown with red dashed lines.