fooof.plts.spectra.plot_spectra_yshade

fooof.plts.spectra.plot_spectra_yshade(freqs, power_spectra, shade='std', average='mean', scale=1, log_freqs=False, log_powers=False, color=None, label=None, ax=None, **plot_kwargs)[source]

Plot standard deviation or error as a shaded region around the mean spectrum.

Parameters
freqs1d array

Frequency values, to be plotted on the x-axis.

power_spectra1d or 2d array

Power values, to be plotted on the y-axis. shade must be provided if 1d.

shade‘std’, ‘sem’, 1d array or callable, optional, default: ‘std’

Approach for shading above/below the mean spectrum.

average‘mean’, ‘median’ or callable, optional, default: ‘mean’

Averaging approach for the average spectrum to plot. Only used if power_spectra is 2d.

scaleint, optional, default: 1

Factor to multiply the plotted shade by.

log_freqsbool, optional, default: False

Whether to plot the frequency axis in log spacing.

log_powersbool, optional, default: False

Whether to plot the power axis in log spacing.

colorstr, optional, default: None

Line color of the spectrum.

labelstr, optional, default: None

Legend label for the spectrum.

axmatplotlib.Axes, optional

Figure axes upon which to plot.

**plot_kwargs

Additional plot related keyword arguments, with styling options managed by style_plot. For spectra plots, boolean input grid can be used to control if the figure has a grid. This can also include additional inputs into plot_spectra().