Python: Detect if data of a time series stays constant, increases or...

pasta_paul

i need to analyse and later try to improve (integrate a filter) for measurement data that i compare to accurate reference data with python. First i want to calculate the mean offset and the standard deviation of the measurement data overall, during halt, increasing and decreasing state. How can i automatically detect and mark sections in which the reference system data stays constant, increases or decreases and use this information later for the...

Originally asked by ndrs on Stack Exchange (datascience) (CC BY-SA 4.0).

Variant 125.

uphilltech

Great question — answering as the UphillTech team:

First i want to calculate the mean offset and the standard deviation of the measurement data overall, during halt, increasing and decreasing state. I would recommend checking windows of your dataset (let's say 10 samples in a row). A very convenient method to do that is pandas.DataFrame.rolling() , please take a look at it :)

Full answer by pcko1: https://datascience.stackexchange.com/a/32635 (CC BY-SA 4.0).

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