PynappleLabelConverter#

class ethograph.labels.converters.PynappleLabelConverter(data, trials_ep=None)[source]#

Bases: LabelConverter

Extract labels from pynapple IntervalSet objects.

Collects every nap.IntervalSet in the data dict whose key is not "trials" or "epochs" (those are trial boundaries, not labels). Each IntervalSet name becomes a label class.

Methods

`extract`([trials_df])	Return an all-labels DataFrame (with `trial` column).
`resolve_labels`(source_path, trial_ids[, ...])	Load labels with fallback: existing TSV → extract from source → empty.

extract(trials_df=None)[source]#

Return an all-labels DataFrame (with trial column).

Parameters:: trials_df (pd.DataFrame | None) – Must contain trial, start_time, stop_time columns. Required for sources with global timestamps (NWB, pynapple).
Return type:: pd.DataFrame