modin.pandas.DatetimeIndex.indexer_at_time

DatetimeIndex.indexer_at_time(time, asof: bool = False) → ndarray[int64][source] (https://github.com/snowflakedb/snowpark-python/blob/v1.26.0/snowpark-python/src/snowflake/snowpark/modin/plugin/extensions/datetime_index.py#L787-L815)

Return index locations of values at particular time of day.

Parameters:

time (datetime.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”).

Return type:

np.ndarray[np.intp]

See also

indexer_between_time

Get index locations of values between particular times of day.

DataFrame.at_time

Select values at particular time of day.

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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