def from_id(cls, id):
days = cache.get_index_files()[id]
days = [Day.from_numpy_file(day, path) for day, path in days.items()]
return Veugel(id, days)
def analyse(veugel_ids, plotter=default_plotter, aggregator=default_aggregator, plot_threaded=False):
get_index_files()
pool = multiprocessing.Pool(multiprocessing.cpu_count())
aggregated = pool.imap(aggregate, zip(repeat(aggregator), veugel_ids))
plotted = pool.imap(plot, zip(repeat(plotter), aggregated if plot_threaded else [list(aggregated)]))
return list(plotted)
