# create sample data
from datetime import datetime, timedelta
d = datetime.now()
data = [d + timedelta(minutes=i) for i in xrange(100)]

# prepare and group the data
from itertools import groupby

def get_key(d):
    # group by 30 minutes
    k = d + timedelta(minutes=-(d.minute % 30)) 
    return datetime(k.year, k.month, k.day, k.hour, k.minute, 0)

g = groupby(sorted(data), key=get_key)

# print data
for key, items in g:
    print key
    for item in items:
        print '-', item

这是此答案的python翻译，它通过将日期时间四舍五入到下一个边界并将其用于分组.

This is a python translation of this answer, which works by rounding the datetime to the next boundary and use that for grouping.

如果您确实需要可能的空组，则可以使用此方法或类似方法将其添加:

If you really need the possible empty groups, you can just add them by using this or a similar method:

def add_missing_empty_frames(g):
    last_key = None
    for key, items in g:
        if last_key:
            while (key-last_key).seconds > 30*60:
                empty_key = last_key + timedelta(minutes=30)
                yield (empty_key, [])
                last_key = empty_key
        yield (key, items)
        last_key = key

for key, items in add_missing_empty_frames(g):
    ...