2
我有一個數字Pandas
系列,其中601行按日期進行索引,如下所示。直到引入一些非零值時,值爲零。這一點隨每個系列而不同,因此我想找到一種方法來查找第一個非零值的索引並從該點開始繪製。在熊貓系列中找到第一個非零值
Name: users, dtype: float64 dates
2015-08-17 14:29:59-04:00 18
2015-08-16 14:29:59-04:00 3
2015-08-15 14:29:59-04:00 11
2015-08-14 14:29:59-04:00 12
2015-08-13 14:29:59-04:00 8
2015-08-12 14:29:59-04:00 10
2015-08-11 14:29:59-04:00 6
2015-08-10 14:29:59-04:00 6
2015-08-09 14:29:59-04:00 7
2015-08-08 14:29:59-04:00 7
2015-08-07 14:29:59-04:00 13
2015-08-06 14:29:59-04:00 16
2015-08-05 14:29:59-04:00 12
2015-08-04 14:29:59-04:00 14
2015-08-03 14:29:59-04:00 5
2015-08-02 14:29:59-04:00 5
2015-08-01 14:29:59-04:00 8
2015-07-31 14:29:59-04:00 6
2015-07-30 14:29:59-04:00 7
2015-07-29 14:29:59-04:00 9
2015-07-28 14:29:59-04:00 7
2015-07-27 14:29:59-04:00 5
2015-07-26 14:29:59-04:00 4
2015-07-25 14:29:59-04:00 8
2015-07-24 14:29:59-04:00 8
2015-07-23 14:29:59-04:00 8
2015-07-22 14:29:59-04:00 9
2015-07-21 14:29:59-04:00 5
2015-07-20 14:29:59-04:00 7
2015-07-19 14:29:59-04:00 6
..
2014-01-23 13:29:59-05:00 0
2014-01-22 13:29:59-05:00 0
2014-01-21 13:29:59-05:00 0
2014-01-20 13:29:59-05:00 0
2014-01-19 13:29:59-05:00 0
2014-01-18 13:29:59-05:00 0
2014-01-17 13:29:59-05:00 0
2014-01-16 13:29:59-05:00 0
2014-01-15 13:29:59-05:00 0
2014-01-14 13:29:59-05:00 0
2014-01-13 13:29:59-05:00 0
2014-01-12 13:29:59-05:00 0
2014-01-11 13:29:59-05:00 0
2014-01-10 13:29:59-05:00 0
2014-01-09 13:29:59-05:00 0
2014-01-08 13:29:59-05:00 0
2014-01-07 13:29:59-05:00 0
2014-01-06 13:29:59-05:00 0
2014-01-05 13:29:59-05:00 0
2014-01-04 13:29:59-05:00 0
2014-01-03 13:29:59-05:00 0
2014-01-02 13:29:59-05:00 0
2014-01-01 13:29:59-05:00 0
2013-12-31 13:29:59-05:00 0
2013-12-30 13:29:59-05:00 0
2013-12-29 13:29:59-05:00 0
2013-12-28 13:29:59-05:00 0
2013-12-27 13:29:59-05:00 0
2013-12-26 13:29:59-05:00 0
2013-12-25 13:29:59-05:00 0