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Showing content from https://pandas.pydata.org/docs/reference/api/pandas.DatetimeIndex.indexer_at_time.html below:

pandas.DatetimeIndex.indexer_at_time — pandas 2.3.1 documentation

DatetimeIndex.indexer_at_time(time, asof=False)[source]#

Return index locations of values at particular time of day.

Parameters:

timedatetime.time or str

Time passed in 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”).

Returns:

np.ndarray[np.intp]

Examples

>>> idx = pd.DatetimeIndex(["1/1/2020 10:00", "2/1/2020 11:00",
...                         "3/1/2020 10:00"])
>>> idx.indexer_at_time("10:00")
array([0, 2])

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