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    * [ pandas.PeriodIndex.to_timestamp ](pandas.PeriodIndex.to_timestamp.html)
    * [ pandas.PeriodIndex.from_fields ](pandas.PeriodIndex.from_fields.html)
    * [ pandas.PeriodIndex.from_ordinals ](pandas.PeriodIndex.from_ordinals.html)
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  * [ Index objects ](../indexing.html)
  * pandas.Datet... 

#  pandas.DatetimeIndex.indexer_at_time  #

DatetimeIndex.  indexer_at_time  (  _ time  _ , _ asof  =  False  _ )  [
[source]  ](https://github.com/pandas-
dev/pandas/blob/v2.2.2/pandas/core/indexes/datetimes.py#L715-L758) #

    

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 (â%H:%Mâ, â%H%Mâ, â%I:%M%pâ, â%I%M%pâ, â%H:%M:%Sâ,
â%H%M%Sâ, â%I:%M:%S%pâ, â%I%M%S%pâ).

Returns  :

    

np.ndarray[np.intp]

    

See also

[ ` indexer_between_time  `
](pandas.DatetimeIndex.indexer_between_time.html#pandas.DatetimeIndex.indexer_between_time
"pandas.DatetimeIndex.indexer_between_time")

    

Get index locations of values between particular times of day.

[ ` DataFrame.at_time  `
](pandas.DataFrame.at_time.html#pandas.DataFrame.at_time
"pandas.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"])
    >>