pandas.DataFrame.at_time

DataFrame.at_time(time, asof=False, axis=None) [source]

Select values at particular time of day (e.g. 9:30AM).

Parameters:	time : datetime.time or string axis : {0 or ‘index’, 1 or ‘columns’}, default 0 New in version 0.24.0.
Returns:	values_at_time : same type as caller
Raises:	TypeError If the index is not a DatetimeIndex

See also

between_time

Select values between particular times of the day.

first

Select initial periods of time series based on a date offset.

last

Select final periods of time series based on a date offset.

DatetimeIndex.indexer_at_time

Get just the index locations for values at particular time of the day.

Examples

>>> i = pd.date_range('2018-04-09', periods=4, freq='12H')
>>> ts = pd.DataFrame({'A': [1,2,3,4]}, index=i)
>>> ts
                     A
2018-04-09 00:00:00  1
2018-04-09 12:00:00  2
2018-04-10 00:00:00  3
2018-04-10 12:00:00  4

>>> ts.at_time('12:00')
                     A
2018-04-09 12:00:00  2
2018-04-10 12:00:00  4