I have a time series data which I will be using to train a regression with. There are only certain sections of the time series that will be used.
Lets say for instance I have a recording over 1 hour and I will only be using data recorded during several nearly random length randomly interspersed intervals. Is it appropriate to use pandas time series for this?
In case soem one wants to show me an example of what an index for this matrix might look like, lets say we have a 600s (10 minute) recording and I am only interested in stuff happening at 3 intervals occuring between 45-103s 207-236s and 456-578s.