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pandas.Series.between_time

Series.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

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
                     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 setting start_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
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