I have a set of timeseries objects t1,t2,t3,t4,t5…..etc. Now I would like to create a derived timeseries objects based on the existing timeseries objects. For instance
T1 = (t1/1000) *141.5
T2 = (t2/100 - t3)
T3 = (t3/100 - 14)
T4 = t4 * t2/100
T5 = t5/100
How do I perform these steps using cognite SDK. Is there a way to perform these operations?
Please advise.
Retrieving dataframe from data-points and then create new timeseries objects (T1,T2….) will be challenging and hence wanted if there is an optimal way to handle this in a better way. Is this possible using synthetic time-series?
IS there some examples and code snippets that can be shared so that I can grasp them better?
Best answer by Carin Meems
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