Python packages
Stephen Chan Manchester University

Python packages for extreme value analysis presented in this page have been proposed by Stephen Chan (University of Manchester).

How to start with Python?

The most common scenario is to install from PyPI using Requirement Specifiers

$ pip install SomePackage # latest version
$ pip install SomePackage==1.0.4 # specific version
$ pip install ‘SomePackage>=1.0.4’ # minimum version

For more information and examples, see the pip install reference or the following link: https://pip.pypa.io/en/stable/user_guide/#installing-packages

Extremes 1.1.1

Author: Phillip J. Eby
https://pypi.python.org/pypi/Extremes/1.1.1
Description: Production-quality ‘Min’ and ‘Max’ objects.

lmoments 0.2.3

Author: Sam Gillespie
https://pypi.python.org/pypi/lmoments/
Description: This library was designed to use L-moments to predict optimal parameters for a number of distributions. Distributions supported in this file includes; Generalised Extreme Value (GEV), Generalised Pareto (GPA), Gumbel (GUM), Weibull (WEI).

scikit-extremes

http://kikocorreoso.github.io/scikit-extremes/_sources/index.txt
Description: scikit-extremes is a python library to perform univariate extreme value calculations.

wafo 0.3.1

Author: WAFO-group
https://pypi.python.org/pypi/wafo/
Description: Wave Analysis for Fatigue and Oceanography

Stephen Chan Manchester University

Stephen Chan

University of Manchester