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I need to detect list of change points in time series dataset (temperature), and I need to split dataset into set of classes (patterns) and detect seasonality of each class (pattern). for example suppose that we create 2-classes named called and hot, each class contains readings that represent each state, I need to know seasonality of these state over the whole time period so that I can summarize dataset as hot state occurs from the time X to Y over month Z and from time ... to ... over month ... - it is preferable if there is a solution written in python/C++/C#

Mina Younan
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    If I understood correctly, you are trying to detect seasonality in each of your two data sets. Here's a straightforward resource in Python, including example code: https://machinelearningmastery.com/time-series-seasonality-with-python/ Here's one other resource I found helpful when I was learning about seasonality (it's in R): https://robjhyndman.com/hyndsight/detecting-seasonality/ – Saffra Sep 03 '19 at 21:47

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