A package for extracting extreme events
Project description
Overview
Extracting extreme events from daily time series data.
Such extreme events are defined as the values exceeding a certain threshold, and lasting for a certain duration.
Extremes events are identified by attributes such as:
- extreme_start_time
- extreme_end_time
- extreme_duration
- sign_start_time
- sign_end_time
- sign_duration
- max
- min
- mean
The algorithm has some robust features, such as:
(P: positive sign, N: negative sign, E: extreme value)
- single opposite valued data are ignored. e.g, P,P,P,N,P,P,P -> P,P,P,P,P,P
- Multiple extreme events within one sign event are considered as one event. e.g, P,P,P,E,P,E,P,P,P is considered as one event.
Installation
pip install eventextreme
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