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.
- info
dict Measurement info.
- exclude
listofstr|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, orNone 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.
- covinstance of
- Returns
- fig_covinstance of
matplotlib.figure.Figure The covariance plot.
- fig_svdinstance of
matplotlib.figure.Figure|None The SVD spectra plot of the covariance.
- fig_covinstance of
See also
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.
