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How to group time series?

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I measure the current consumption of some node to identify the actions performed by this node. As the start point  I use the measurements for this node without any actions and try to find the distance between the idle state and states with some actions. The data set I have so far:

?Time (s)Voltage_nVdistance
2017-06-12T10:30:27.769214685,9325746,106
2017-06-12T10:30:30.7015609723,625420783,796
2017-06-12T10:30:30.7101325231,791136291,966
2017-06-12T10:30:30.721518620,671329680,847
2017-06-12T10:30:30.731274424,73785484,913
2017-06-12T10:30:30.741265276,37576336,551
2017-06-12T10:30:30.751215287,10826347,284
2017-06-12T10:30:30.762228865,89239926,068
2017-06-12T10:30:30.771212372,70123432,877
2017-06-12T10:30:30.802201107,14612167,322
   
2017-06-12T10:30:40.7006843576,346654636,516
2017-06-12T10:30:40.7101292846,591103906,766
2017-06-12T10:30:40.720511380,396322440,572
2017-06-12T10:30:40.730344932,474155992,65
2017-06-12T10:30:40.740247776,86458837,04
2017-06-12T10:30:40.753256324,04967384,225
2017-06-12T10:30:40.763247071,13458131,31
2017-06-12T10:30:40.774219312,38830372,564
2017-06-12T10:30:40.784191854,2312914,407
2017-06-12T10:30:40.804208046,83319107,009

As one can see some rows have very close timestamps . How can I group rows which are closer then 1 sec together? I will calculate the mean value of each group for classification and further processing.

 


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