相关疑难解决方法(0)

我有一些来自日志文件的数据,并希望按分钟分组:

 def gen(date, count=10):
     while count > 0:
         yield date, "event{}".format(randint(1,9)), "source{}".format(randint(1,3))
         count -= 1
         date += DateOffset(seconds=randint(40))

 df = DataFrame.from_records(list(gen(datetime(2012,1,1,12, 30))), index='Time', columns=['Time', 'Event', 'Source'])

DF:

 Event  Source
 2012-01-01 12:30:00     event3  source1
 2012-01-01 12:30:12     event2  source2
 2012-01-01 12:30:12     event2  source2
 2012-01-01 12:30:29     event6  source1
 2012-01-01 12:30:38     event1  source1
 2012-01-01 12:31:05     event4  source2
 2012-01-01 12:31:38     event4  source1
 2012-01-01 12:31:44     event5  source1
 2012-01-01 12:31:48     event5  source2
 2012-01-01 12:32:23     event6  source1

我试过这些选项:

1. df.resample('Min') 是太高的水平,想要聚合.
2. df.groupby(date_range(datetime(2012,1,1,12, 30), freq='Min', periods=4)) 失败,例外.

3. df.groupby(TimeGrouper(freq='Min'))工作正常并返回一个DataFrameGroupBy …