[英]convert data-frame into lists of list in python
I have a data-frame like this我有一个这样的数据框
timeslice host CPU outlier
0 2011-01-10 19:28:31 1 56 NaN
1 2012-02-10 18:28:31 2 78 NaN
2 2013-03-10 12:28:31 3 3 3.0
3 2014-04-10 14:28:31 4 98 NaN
4 2015-04-10 14:28:31 7 72 NaN
5 2014-06-10 14:28:31 6 7 7.0
6 2018-04-10 14:28:31 4 9 9.0
using this df.values.tolist()
i can convert this to lists of list like [['2011-01-10 19:28:31', 1, 56, nan], ['2012-02-10 18:28:31', 2, 78, nan], ['2013-03-10 12:28:31', 3, 3, 3.0], ['2014-04-10 14:28:31', 4, 98, nan]]...
i put condition there but it didn't work out.使用此
df.values.tolist()
我可以将其转换为列表列表,如[['2011-01-10 19:28:31', 1, 56, nan], ['2012-02-10 18:28:31', 2, 78, nan], ['2013-03-10 12:28:31', 3, 3, 3.0], ['2014-04-10 14:28:31', 4, 98, nan]]...
我把条件放在那里,但没有成功。
but I want to fetch only those values when outlier is not NaN
and i want to generate a output like this.. [ ['2013-03-10 12:28:31', 3, 3, 3.0],[2014-06-10 14:28:31,6,7,7.0],[2018-04-10 14:28:31 ,4 ,9 ,9.0]]
但是当异常值不是
NaN
并且我想生成这样的输出时,我只想获取这些值.. [ ['2013-03-10 12:28:31', 3, 3, 3.0],[2014-06-10 14:28:31,6,7,7.0],[2018-04-10 14:28:31 ,4 ,9 ,9.0]]
Thanks in Advance提前致谢
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