pandas.DataFrame.at_time — pandas 3.0.0.dev0+2103.g41968a550a 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.
asofbool, default False
This parameter is currently not supported.
axis{0 or ‘index’, 1 or ‘columns’}, default 0
For Series this parameter is unused and defaults to 0.
Returns:
Series or DataFrame
The values with the specified time.
Raises:
TypeError
If the index is not a DatetimeIndex
See also
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.
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