pandas.Series.at_time¶
-
Series.
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