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Classe « DatetimeIndex »

Méthode pandas.DatetimeIndex.indexer_between_time

Signature de la méthode indexer_between_time

def indexer_between_time(self, start_time, end_time, include_start: 'bool' = True, include_end: 'bool' = True) -> 'npt.NDArray[np.intp]' 

Description

help(DatetimeIndex.indexer_between_time)

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_end : bool, 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")
>>> 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])

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