mne_denoise.viz.plot_evoked_gfp_comparison

mne_denoise.viz.plot_evoked_gfp_comparison(inst_before, inst_after, times, ci=0.95, n_boot=1000, colors=('#333333', '#009E73'), linestyles=('-', '-'), labels=('Before', 'After'), x_label='Time', y_label='Global Field Power', title='Evoked GFP Comparison', show=True, ax=None, fname=None)

Plot GFP comparison for before/after signals.

Parameters:

inst_beforeMNE object | ndarray

Signal before denoising. Supported array shapes are (n_channels, n_times) and (n_epochs, n_channels, n_times).

inst_afterMNE object | ndarray

Signal after denoising, with the same channel and time dimensions as inst_before.

timesarray-like of shape (n_times,)

Explicit time axis.

cifloat | None

Confidence level for bootstrap bands. If None, no interval is drawn. Bootstrap intervals are only computed for 3D epoched inputs.

n_bootint

Number of bootstrap resamples when ci is not None.

colorstuple[str, str]

Colors for before/after curves.

linestylestuple[str, str]

Linestyles for before/after curves.

labelstuple[str, str]

Legend labels for before/after curves.

x_labelstr

X-axis label.

y_labelstr

Y-axis 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 input shapes are invalid, if time lengths differ between inputs, or if times length does not match n_times.