我有一个时间序列数据。但是数据不连续。（2005-03-02 02:08:00丢失）。
我需要一个新的C列C(i)=A(i)+B(i)+average，其中我的平均值是B直到不连续为止的平均值(02:08:00)。
average=Data.loc['2005-03-02 02:05:30':'2005-03-02 02:07:30',['B']].mean(axis=0)
After discontinuity we have to again recalculate average till next discontinuity
average=Data.loc['2005-03-02 02:08:30':'2005-03-02 02:11:00',['B']].mean(axis=0)
输入项
Date,A,B
2005-03-02 02:05:30,1,3
2005-03-02 02:06:00,2,4
2005-03-02 02:06:30,3,5
2005-03-02 02:07:00,4,6
2005-03-02 02:07:30,5,7
2005-03-02 02:08:30,7,9
2005-03-02 02:09:00,7,9
2005-03-02 02:09:30,7,9
2005-03-02 02:10:00,8,12
2005-03-02 02:10:30,9,13
2005-03-02 02:11:00,10,14
输出量
Date,A,B,C
2005-03-02 02:05:30,1,3,9
2005-03-02 02:06:00,2,4,11
2005-03-02 02:06:30,3,5,13
2005-03-02 02:07:00,4,6,15
2005-03-02 02:07:30,5,7,17
2005-03-02 02:08:30,7,9,28
2005-03-02 02:09:00,7,9,28
2005-03-02 02:09:30,7,9,28
2005-03-02 02:10:00,8,12,32
2005-03-02 02:10:30,9,13,34
2005-03-02 02:11:00,10,14,36
如何找出索引中的不连续性？
我如何使用熊猫来做整个事情？