pandas.DataFrame.at_time — pandas 2.2.3 documentation (original) (raw)

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

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

Parameters:

timedatetime.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.

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