pandas.DatetimeIndex.indexer_between_time#

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 inappropriate 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]

See also

indexer_at_time

Get index locations of values at particular time of day.

DataFrame.between_time

Select values between particular times of day.

Examples

>>>idx=pd.date_range("2023-01-01",periods=4,freq="h")>>>idxDatetimeIndex(['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])