yasa.REMResults.plot_average#

REMResults.plot_average(center='Peak', time_before=0.4, time_after=0.4, filt=(None, None), mask=None, figsize=(6, 4.5), **kwargs)[source]#

Plot the average REM.

Parameters:

centerstr: Landmark of the event to synchronize the timing on. Default is to use the peak of the REM.
time_beforefloat: Time (in seconds) before center.
time_afterfloat: Time (in seconds) after center.
filttuple: Optional filtering to apply to data. For instance, filt=(1, 30) will apply a 1 to 30 Hz bandpass filter, and filt=(None, 40) will apply a 40 Hz lowpass filter. Filtering is done using default parameters in the mne.filter.filter_data function.
maskarray_like or None: Custom boolean mask. Only the detected events for which mask is True will be included. Default is None, i.e. no masking (all events are included).
figsizetuple: Figure size in inches.
**kwargsdict: Optional argument that are passed to seaborn.lineplot.