pandas.DatetimeIndex.indexer_between_time — pandas 2.2.3 documentation (original) (raw)

DatetimeIndex.indexer_between_time(start_time, end_time, include_start=True, include_end=True)[source]#

Return index locations of values between particular times of day.

Parameters:

start_time, end_timedatetime.time, str

Time passed either as object (datetime.time) or as string in appropriate format (“%H:%M”, “%H%M”, “%I:%M%p”, “%I%M%p”, “%H:%M:%S”, “%H%M%S”, “%I:%M:%S%p”,”%I%M%S%p”).

include_startbool, default True

include_endbool, default True

Returns:

np.ndarray[np.intp]

Examples

idx = pd.date_range("2023-01-01", periods=4, freq="h") idx DatetimeIndex(['2023-01-01 00:00:00', '2023-01-01 01:00:00', '2023-01-01 02:00:00', '2023-01-01 03:00:00'], dtype='datetime64[ns]', freq='h') idx.indexer_between_time("00:00", "2:00", include_end=False) array([0, 1])