pandas.DataFrame.between_time#

DataFrame.between_time(start_time,end_time,inclusive='both',axis=None)[source]#

Select values between particular times of the day (e.g., 9:00-9:30 AM).

By settingstart_time to be later thanend_time,you can get the times that arenot between the two times.

Parameters:

start_timedatetime.time or str

Initial time as a time filter limit.

end_timedatetime.time or str

End time as a time filter limit.

inclusive{“both”, “neither”, “left”, “right”}, default “both”

Include boundaries; whether to set each bound as closed or open.

axis{0 or ‘index’, 1 or ‘columns’}, default 0

Determine range time on index or columns value.ForSeries this parameter is unused and defaults to 0.

Returns:

Series or DataFrame

Data from the original object filtered to the specified dates range.

Raises:

TypeError

If the index is not aDatetimeIndex

See also

at_time

Select values at a particular time 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_between_time

Get just the index locations for values between particular times of the day.

Examples

>>>i=pd.date_range('2018-04-09',periods=4,freq='1D20min')>>>ts=pd.DataFrame({'A':[1,2,3,4]},index=i)>>>ts                     A2018-04-09 00:00:00  12018-04-10 00:20:00  22018-04-11 00:40:00  32018-04-12 01:00:00  4

>>>ts.between_time('0:15','0:45')                     A2018-04-10 00:20:00  22018-04-11 00:40:00  3

You get the times that arenot between two times by settingstart_time later thanend_time:

>>>ts.between_time('0:45','0:15')                     A2018-04-09 00:00:00  12018-04-12 01:00:00  4