xorbits.pandas.Series.at_time#

Series.at_time(time, asof: bool_t = False, axis: Axis | None = None) Self#

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

Parameters
  • time (datetime.time or str) – The values to select.

  • axis ({0 or 'index', 1 or 'columns'}, default 0) – For Series this parameter is unused and defaults to 0.

Return type

Series or DataFrame

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

Warning

This method has not been implemented yet. Xorbits will try to execute it with pandas.

This docstring was copied from pandas.core.series.Series.