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pandas.Series.at_time

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

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

Parameters:
time : datetime.time or str
axis : {0 or ‘index’, 1 or ‘columns’}, default 0

New in version 0.24.0.

Returns:
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

© 2008–2012, AQR Capital Management, LLC, Lambda Foundry, Inc. and PyData Development Team
Licensed under the 3-clause BSD License.
https://pandas.pydata.org/pandas-docs/version/0.25.0/reference/api/pandas.Series.at_time.html