Coefficients to measure inequality.

# Inequality Coefficients:

This is small library with some implemented coefficients (or indices) intended to measure inequality or concentration of the values in a population.

## Implemented coefficients

• Gini Coefficient:
• Ordinary
• Corrected: Using a correction for small datasets based on Deltas, 2003.
• Ratio top / rest

## Installation

This library is hosted on PyPI, so installation is straightforward. The easiest way to install type this at the command line (Linux, Mac, or Windows):

pip install inequality_coefficients


This library also depends on numpy, but pip should take of that for you already.

## Basic Usage

For the simplest, typical use cases, this tells you everything you need to know.:

import inequality_coefficients as ineq
data = array([1.7, 3.2 ...]) # data can be list of nums or numpy array
gini_coeff = ineq.gini_coeff(data)
ratio_top_rest = ineq.ratio_top10_rest(data)


## Acknowledgements

Firstly, I was based on Felipe Ortega's wikixray code for implementing the gini coefficient, however, my code has changed so much and I'm using numpy as backend.

Anyway, I want to thank him for open sourcing that project.

## Project details

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