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
- 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.