pandas.DataFrame.at_time#

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

ForSeries this parameter is unused and defaults to 0.

Returns:

Series or DataFrame

Raises:

TypeError

If the index is not aDatetimeIndex

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                     A2018-04-09 00:00:00  12018-04-09 12:00:00  22018-04-10 00:00:00  32018-04-10 12:00:00  4

>>>ts.at_time('12:00')                     A2018-04-09 12:00:00  22018-04-10 12:00:00  4