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# pandas.DatetimeIndex.indexer_between_time

DatetimeIndex.indexer_between_time(start_time, end_time, include_start=True, include_end=True)

  Return index locations of values between particular times of day.

  Parameters:
    start_time, end_time datetime.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_start bool, default True

      Include boundaries; whether to set start bound as closed or open.

    include_end bool, default True

      Include boundaries; whether to set end bound as closed or open.

  Returns:
    np.ndarray[np.intp]

      Index locations of values between particular times of day.

  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")
      >>> 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[us]', freq='h')
      >>> idx.indexer_between_time("00:00", "2:00", include_end=False)
      array([0, 1])