mne_denoise.viz.plot_power_ratio_map#

mne_denoise.viz.plot_power_ratio_map(inst_before, inst_after, info, vlim=(None, None), cmap='viridis', colorbar_label='Power Ratio (After / Before)', title='Power Ratio Map', show=True, ax=None, fname=None)[source]#

Plot a topomap of preserved power ratio after denoising.

Parameters:

inst_beforeMNE object | ndarray: Signal or per-channel variance before denoising. Accepted forms are 1D channel variances, 2D channel-by-time arrays, 3D epoch arrays, or MNE Raw/Epochs/Evoked objects.
inst_afterMNE object | ndarray: Matching signal or per-channel variance after denoising.
infomne.Info: Sensor metadata used by mne.viz.plot_topomap.
vlimtuple[float | None, float | None]: Lower and upper limits passed to mne.viz.plot_topomap.
cmapstr | matplotlib.colors.Colormap: Colormap passed to mne.viz.plot_topomap.
colorbar_labelstr: Colorbar label.
titlestr: Panel title.
showbool: If True, display the figure.
axmatplotlib.axes.Axes | None: Target axes. If None, create a new figure and axes.
fnamepath-like | None: Optional output path used to save the figure.

Returns:

figmatplotlib.figure.Figure: Figure handle.

Raises:

ValueError: If info is missing or if channel counts do not match info.