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.
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
|Filename, size||File type||Python version||Upload date||Hashes|
|Filename, size inequality_coefficients-1.1.1.tar.gz (3.0 kB)||File type Source||Python version None||Upload date||Hashes View hashes|
Hashes for inequality_coefficients-1.1.1.tar.gz