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code to use pyextremes to run extreme value analysis with generic data

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run_EVA_generic v2.0.0

DOI

code to use pyextremes to run extreme value analysis with generic data and create publication quality plots

License: CC0-1.0

Support: please create an issue or contact arfogg directly. Any input on the code / issues found are greatly appreciated and will help to improve the software.

Required Packages

matplotlib, numpy, pandas and pyextremes

Install pyextremes following instructions from its github here

Running the code

First, the code must be downloaded using git clone https://github.com/arfogg/run_EVA_generic

Then, from a python terminal: import run_extreme_value_analysis

run_extreme_value_analysis.run_eva(df, 'tag')

Note that your input df must have datetime as an index - this is a requirement of pyextremes.

Acknowledgements

ARF gratefully acknowledges the support Irish Research Council Government of Ireland Postdoctoral Fellowship GOIPD/2022/782.

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code to use pyextremes to run extreme value analysis with generic data

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