Metadata-Version: 2.1
Name: Pyfrontier
Version: 1.0.0
Summary: Pyfrontier is a data envelopment analysis for Python user.
Home-page: https://nibutake.github.io/PyDEA/index.html?
Download-URL: https://github.com/NibuTake/PyDEA
Author: Takeshi Morinibu
Author-email: takeshi715tech@gmail.com
License: MIT
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Topic :: Software Development
Classifier: Topic :: Software Development :: Libraries
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy (>=1.21)
Requires-Dist: pulp (>=2.6.0)

# Pyfrontier: A data envelopment analysis module

<div align="center"><img src="./images/logo.png" height="200"/></div>

[![Python](https://img.shields.io/badge/Python-3.8%20%7C%203.9%20%7C%203.10%20-blue)](https://codecov.io/gh/NibuTake/PyDEA)
[![License](https://img.shields.io/github/license/NibuTake/PyDEA?color=blue)](LICENSE)
[![codecov](https://codecov.io/gh/NibuTake/PyDEA/branch/main/graph/badge.svg?token=EL44JBAYOT)](https://codecov.io/gh/NibuTake/PyDEA)

[Install](#installation) | [Tutorial](https://nibutake.github.io/PyDEA/tutorials/index.html#) | [Docs](https://nibutake.github.io/PyDEA/index.html) | [Contribution](./CONTRIBUTING.md)

Pyfrontier is a data envelopment analysis for Python user. Our main motivation is to encourage more people to use DEA effectively and contribute to the development of DEA field.

## Installation

This module is provided by [PyPI](https://pypi.org/project/Pyfrontier/).

```
pip install Pyfrontier
```

## Tutorial

A brief example is provided below. For more information, please click [here](https://nibutake.github.io/PyDEA/tutorials/index.html#).

```python
import numpy as np
from Pyfrontier.frontier_model import EnvelopeDEA

dea = EnvelopeDEA(frontier="CRS", orient="in")

dea.fit(inputs, outputs)
dea.result
```

## Communication

- [Issues](https://github.com/NibuTake/PyDEA/issues) for bug reports and feature requests.
- [Discussion](https://github.com/NibuTake/PyDEA/discussions) for any questions.

## References

We use [ref.bib](./tutorials/ref.bib) for tutorial.
These are read by [bibtexparser](https://bibtexparser.readthedocs.io/en/master/) and automatically quoted and displayed at the specified location.
