Coefficients to measure inequality.
This is small library with some implemented coefficients (or indices) intended to measure inequality or concentration of the values in a population.
- Gini Coefficient:
- Corrected: Using a correction for small datasets based on Deltas, 2003.
- Ratio top / rest
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
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)
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.
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Hashes for inequality_coefficients-1.1.0.linux-x86_64.tar.gz
Hashes for inequality_coefficients-1.1.0-py3-none-any.whl