Metadata-Version: 2.1
Name: pyextremes
Version: 2.1.1
Summary: Extreme Value Analysis (EVA) in Python
Home-page: https://github.com/georgebv/pyextremes
Author: Georgii Bocharov
Author-email: bocharovgeorgii@gmail.com
License: MIT
Project-URL: GitHub, https://github.com/georgebv/pyextremes
Project-URL: PyPI, https://pypi.org/project/pyextremes/
Project-URL: conda-forge, https://anaconda.org/conda-forge/pyextremes
Description: <p align="center" style="font-size:40px; margin:0px 10px 0px 10px">
            <em>pyextremes</em>
        </p>
        <p align="center">
            <em>Extreme Value Analysis (EVA) in Python</em>
        </p>
        <p align="center">
        <a href="https://github.com/georgebv/pyextremes/actions?query=workflow%3Abuild" target="_blank">
            <img src="https://github.com/georgebv/pyextremes/workflows/build/badge.svg" alt="Test">
        </a>
        <a href="https://codecov.io/gh/georgebv/pyextremes" target="_blank">
            <img src="https://codecov.io/gh/georgebv/pyextremes/branch/master/graph/badge.svg" alt="Coverage">
        </a>
        <a href="https://pypi.org/project/pyextremes" target="_blank">
            <img src="https://badge.fury.io/py/pyextremes.svg" alt="PyPI Package">
        </a>
        <a href="https://anaconda.org/conda-forge/pyextremes" target="_blank">
            <img src="https://img.shields.io/conda/vn/conda-forge/pyextremes.svg" alt="Anaconda Package">
        </a>
        </p>
        
        # About
        
        **Documentation:** https://georgebv.github.io/pyextremes/
        
        **License:** [MIT](https://opensource.org/licenses/MIT)
        
        **E-Mail:** bocharovgeorgii@gmail.com
        
        **pyextremes** is a Python library aimed at performing univariate and multivariate
        [Extreme Value Analysis (EVA)](https://en.wikipedia.org/wiki/Extreme_value_theory).
        
        **pyextremes** provides tools necessary to perform a wide range of tasks required to
        perform EVA, such as:
        
        - extraction of extreme events from time series using methods such as
        Block Maxima (BM) or Peaks Over Threshold (POT)
        - fitting continuous distributions, such as GEVD, GPD, or user-specified
        continous distributions to the extracted extreme events
        - visualization of model inputs, results, and goodness-of-fit statistics
        - estimation of extreme events of given probability or return period
        (e.g. 100-year event) and of corresponding confidence intervals
        - tools assisting with model selection and tuning, such as selection of
        block size in BM and threshold in POT
        
        # Installation
        
        Get latest version from PyPI:
        
        ```shell
        pip install pyextremes
        ```
        
        Get latest experimental build from GitHub:
        
        ```shell
        pip install git+https://github.com/georgebv/pyextremes
        ```
        
        Get pyextremes for the Anaconda Python distribution:
        
        ```shell
        conda install -c conda-forge pyextremes
        ```
        
        # Tutorials
        
        This section will be removed in the future in favor of the official documentation
        which can be found at https://georgebv.github.io/pyextremes/.
        
        - [Basic usage](https://nbviewer.jupyter.org/github/georgebv/pyextremes-notebooks/blob/master/notebooks/EVA%20basic.ipynb)
        - [Threshold selection](https://nbviewer.jupyter.org/github/georgebv/pyextremes-notebooks/blob/master/notebooks/tutorials/threshold%20selection.ipynb)
        
        # Illustrations
        
        <p align="center" style="font-size:20px; margin:10px 10px 0px 10px">
            <em>Model diagnostic</em>
        </p>
        <p align="center" style="font-size:20px; margin:10px 10px 40px 10px">
          <img src="https://raw.githubusercontent.com/georgebv/pyextremes-notebooks/master/notebooks/documentation/readme%20figures/diagnostic.png" alt="Diagnostic plot" width="600px">
        </p>
        
        <p align="center" style="font-size:20px; margin:10px 10px 0px 10px">
            <em>Extreme value extraction</em>
        </p>
        <p align="center" style="font-size:20px; margin:10px 10px 40px 10px">
          <img src="https://raw.githubusercontent.com/georgebv/pyextremes-notebooks/master/notebooks/documentation/readme%20figures/extremes.png" alt="Diagnostic plot" width="600px">
        </p>
        
        <p align="center" style="font-size:20px; margin:10px 10px 0px 10px">
            <em>Trace plot</em>
        </p>
        <p align="center" style="font-size:20px; margin:10px 10px 40px 10px">
          <img src="https://raw.githubusercontent.com/georgebv/pyextremes-notebooks/master/notebooks/documentation/readme%20figures/trace.png" alt="Diagnostic plot" width="600px">
        </p>
        
        <p align="center" style="font-size:20px; margin:10px 10px 0px 10px">
            <em>Corner plot</em>
        </p>
        <p align="center" style="font-size:20px; margin:10px 10px 40px 10px">
          <img src="https://raw.githubusercontent.com/georgebv/pyextremes-notebooks/master/notebooks/documentation/readme%20figures/corner.png" alt="Diagnostic plot" width="600px">
        </p>
        
Keywords: statistics,extreme,extreme value analysis,eva,coastal,ocean,marine,environmental,engineering
Platform: linux
Platform: windows
Platform: mac
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Hydrology
Classifier: Topic :: Scientific/Engineering :: Mathematics
Requires-Python: >=3.8
Description-Content-Type: text/markdown
Provides-Extra: deploy
Provides-Extra: docs
Provides-Extra: lint
Provides-Extra: test
