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Home/ Questions/Q 345413
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Editorial Team
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Editorial Team
Asked: May 12, 20262026-05-12T11:04:54+00:00 2026-05-12T11:04:54+00:00

Assume I have 2 time intervals,such as 16:30 – 20:00 AND 15:00 – 19:00,

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Assume I have 2 time intervals,such as 16:30 – 20:00 AND 15:00 – 19:00, I need to find the total time between these two intervals so the result is 5 hours (I add both intervals and subtract the intersecting interval), how can I write a generic function which also deals with all cases such as one interval inside other(so the result is the interval of the bigger one), no intersection (so the result is the sum of both intervals).

My incoming data structure is primitive, simply string like “15:30” so a conversion may be needed.

Thanks

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  1. Editorial Team
    Editorial Team
    2026-05-12T11:04:54+00:00Added an answer on May 12, 2026 at 11:04 am
    from datetime import datetime, timedelta
    
    START, END = xrange(2)
    def tparse(timestring):
        return datetime.strptime(timestring, '%H:%M')
    
    def sum_intervals(intervals):
        times = []
        for interval in intervals:
            times.append((tparse(interval[START]), START))
            times.append((tparse(interval[END]), END))
        times.sort()
    
        started = 0
        result = timedelta()
        for t, type in times:
            if type == START:
                if not started:
                    start_time = t
                started += 1
            elif type == END:
                started -= 1
                if not started:
                   result += (t - start_time) 
        return result
    

    Testing with your times from the question:

    intervals = [
                    ('16:30', '20:00'),
                    ('15:00', '19:00'),
                ]
    print sum_intervals(intervals)
    

    That prints:

    5:00:00
    

    Testing it together with data that doesn’t overlap

    intervals = [
                    ('16:30', '20:00'),
                    ('15:00', '19:00'),
                    ('03:00', '04:00'),
                    ('06:00', '08:00'),
                    ('07:30', '11:00'),
                ]
    print sum_intervals(intervals)
    

    result:

    11:00:00
    
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