specparam.plts.aperiodic.plot_aperiodic_fits

specparam.plts.aperiodic.plot_aperiodic_fits(aps, freq_range, control_offset=False, average='mean', shade='sem', plot_individual=True, log_freqs=False, colors=None, labels=None, ax=None, **plot_kwargs)[source]

Plot reconstructions of model aperiodic fits.

Parameters:
aps2d array

Aperiodic parameters. Each row is a parameter set, as [Off, Exp] or [Off, Knee, Exp].

freq_rangelist of [float, float]

The frequency range to plot the peak fits across, as [f_min, f_max].

average{‘mean’, ‘median’}, optional, default: ‘mean’

Approach to take to average across components. If set to None, no average is plotted.

shade{‘sem’, ‘std’}, optional, default: ‘sem’

Approach for shading above/below the average reconstruction If set to None, no yshade is plotted.

plot_individualbool, optional, default: True

Whether to plot individual component reconstructions. If False, only the average component reconstruction is plotted.

control_offsetboolean, optional, default: False

Whether to control for the offset, by setting it to zero.

log_freqsboolean, optional, default: False

Whether to plot the x-axis in log space.

colorsstr or list of str, optional

Color(s) to plot data.

labelslist of str, optional

Label(s) for plotted data, to be added in a legend.

axmatplotlib.Axes, optional

Figure axes upon which to plot.

**plot_kwargs

Additional plot related keyword arguments, with styling options managed by style_plot.

Examples using specparam.plts.aperiodic.plot_aperiodic_fits

Plot Model Components

Plot Model Components

Developmental Data Demo

Developmental Data Demo