How can i a Series like this:
2016-11-09 00:07:00 0 days 00:00:15.000000000
2016-11-09 00:07:15 0 days 00:20:14.000000000
2016-11-09 00:07:30 0 days 10:00:15.000000000
into in integer values like this:
2016-11-09 00:07:00 15
2016-11-09 00:07:15 1214 // 20*60+14
2016-11-09 00:07:30 36015 // 10*60*60+15
Those are TimeDeltas. You should be able to use the total_seconds method. However, you'd need to access that method via the datetime accessor dt. Assuming your series is named s
s.dt.total_seconds()
2016-11-09 00:07:00 15.0
2016-11-09 00:07:15 1214.0
2016-11-09 00:07:30 36015.0
dtype: float64
Hower, if by chance those are strings. It might be better to do use pd.to_timedelta
pd.to_timedelta(s).dt.total_seconds()
2016-11-09 00:07:00 15.0
2016-11-09 00:07:15 1214.0
2016-11-09 00:07:30 36015.0
dtype: float64