varwg.times.time_part_sort

varwg.times.time_part_sort(timestamps, values, sub_format_str)

Groups “values” as a nested list according to the “sub_format_str” of the “timestamps”.

>>> dtimes = datetime(2000, 1, 1) + np.arange(4) * timedelta(days=16)
>>> values = np.arange(4)
>>> time_part_sort(dtimes, values, "%m")
([1, 2], [array([0, 1]), array([2, 3])])