pandas.Series.between_time

Series.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 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 str

Initial time as a time filter limit.

end_time:datetime.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. For Series 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 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