Epoching and Selection

Extracting epochs, selecting data, and converting between latencies and sample points.

eegprep.eeg_addnewevents(EEG, ...[, ...])	Add typed events and rebuild sorted, consistent event structures.
eegprep.eeg_findboundaries(*, EEG)	EEG_FINDBOUNDARIES - return indices of boundary events.
eegprep.eeg_getepochevent(EEG, *args, **kwargs)	Return a selected event-field value for each epoch.
eegprep.eeg_insertbound(events, pnts, regions)	Insert boundaries and adjust event latencies for removed regions.
eegprep.eeg_lat2point(lat_array, ...[, timeunit])	Convert latencies in time units (relative to per-epoch time 0) to latencies in data points assuming concatenated epochs (EEGLAB style).
eegprep.eeg_ms2f(EEG, ms)	Convert an epoch latency in milliseconds to the nearest epoch frame.
eegprep.eeg_point2lat(lat_array[, ...])	Convert event latencies in data points to latencies in time units (default seconds).
eegprep.eeg_regepochs(EEG, *args, **kwargs)	Insert regular events and optionally extract consecutive epochs.
eegprep.eeg_urlatency(events, latencies)	Map current-data latencies to their original continuous positions.
eegprep.epoch(*args, **kwargs)	Wrap pop_epoch.
eegprep.eventalign(factor, a, b[, measure])	Return the mean or median nearest alignment error.
eegprep.eventlock(data, frames_or_xvals, ...)	Shift epochs so their event frames or time values align.
eegprep.findboundaries(*args, **kwargs)	Wrap eeg_findboundaries.
eegprep.lat2point(*args, **kwargs)	Wrap eeg_lat2point.
eegprep.point2lat(*args, **kwargs)	Wrap eeg_point2lat.
eegprep.select(*args, **kwargs)	Wrap pop_select.