pandas.Series.between_time

Series.between_time(start_time, end_time, include_start=True, include_end=True)

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

Returns:

values_between_time : type of 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