pandas.DataFrame.between_time — pandas 0.24.0rc1 documentation (original) (raw)
DataFrame. between_time(start_time, end_time, include_start=True, include_end=True, axis=None)[source]¶
Select values between particular times of the day (e.g., 9:00-9:30 AM).
By setting start_time to be later than end_time, you can get the times that are not between the two times.
| Parameters: | start_time : datetime.time or string end_time : datetime.time or string include_start : boolean, default True include_end : boolean, default True axis : {0 or ‘index’, 1 or ‘columns’}, default 0 New in version 0.24.0. |
|---|---|
| Returns: | values_between_time : same type as caller |
| Raises: | TypeError If the index is not a DatetimeIndex |
See also
Select values at a particular time of the day.
Select initial periods of time series based on a date offset.
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 A 2018-04-09 00:00:00 1 2018-04-10 00:20:00 2 2018-04-11 00:40:00 3 2018-04-12 01:00:00 4
ts.between_time('0:15', '0:45') A 2018-04-10 00:20:00 2 2018-04-11 00:40:00 3
You get the times that are not between two times by settingstart_time later than end_time:
ts.between_time('0:45', '0:15') A 2018-04-09 00:00:00 1 2018-04-12 01:00:00 4