我是python新手,我的英语不是很好,所以我将尝试用下面的例子来解释我的问题。你知道吗
In :ds # is my dataframe
Out :DateStarted DateCompleted DayStarted DayCompleted \
1460 2017-06-12 14:03:32 2017-06-12 14:04:07 2017-06-12 2017-06-12
14445 2017-06-13 13:39:16 2017-06-13 13:40:32 2017-06-13 2017-06-13
14109 2017-06-21 10:25:36 2017-06-21 10:32:17 2017-06-21 2017-06-21
16652 2017-06-27 15:44:28 2017-06-27 15:44:41 2017-06-27 2017-06-27
30062 2017-07-05 09:49:01 2017-07-05 10:04:00 2017-07-05 2017-07-05
22357 2017-08-31 09:06:00 2017-08-31 09:10:31 2017-08-31 2017-08-31
39117 2017-09-08 08:43:07 2017-09-08 08:44:51 2017-09-08 2017-09-08
41903 2017-09-15 12:54:40 2017-09-15 14:00:06 2017-09-15 2017-09-15
74633 2017-09-27 12:41:09 2017-09-27 13:16:04 2017-09-27 2017-09-27
69315 2017-10-23 08:25:28 2017-10-23 08:26:09 2017-10-23 2017-10-23
87508 2017-10-30 12:19:19 2017-10-30 12:19:45 2017-10-30 2017-10-30
86828 2017-11-03 12:20:09 2017-11-03 12:24:56 2017-11-03 2017-11-03
89877 2017-11-06 13:52:05 2017-11-06 13:52:50 2017-11-06 2017-11-06
94970 2017-11-07 08:09:53 2017-11-07 08:10:15 2017-11-07 2017-11-07
94866 2017-11-28 14:38:14 2017-11-30 07:51:04 2017-11-28 2017-11-30
DailyTotalActiveTime diff
1460 NaN 35.0
14445 NaN 76.0
14109 NaN 401.0
16652 NaN 13.0
30062 NaN 899.0
22357 NaN 271.0
39117 NaN 104.0
41903 NaN 3926.0
74633 NaN 2095.0
69315 NaN 41.0
87508 NaN 26.0
86828 NaN 287.0
89877 NaN 45.0
94970 NaN 22.0
94866 NaN 148370.0
在DailyTotalActiveTime列中,我想计算出需要多少时间,
具体的日子,总共会有。diff列以秒为单位。
我试过了,但没有结果:
for i in ds['diff']:
if i <= 86400:
ds['DailyTotalActiveTime']==i
else:
ds['DailyTotalActiveTime']==86400
ds['DailyTotalActiveTime']+1 == i-86400
我能做什么?再一次,抱歉的解释。。你知道吗
为了让你走到一半,你可以做如下的事情(我肯定有一个更简单的方法,但我现在看不到):
您应该尝试使用
=
而不是==
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