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Weighted quantiles, including weighted median, based on numpy

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[![Build Status](https://travis-ci.org/nudomarinero/wquantiles.svg?branch=master)](https://travis-ci.org/nudomarinero/wquantiles) [![DOI](https://zenodo.org/badge/doi/10.5281/zenodo.14952.svg)](http://dx.doi.org/10.5281/zenodo.14952) [![Pypi](https://pypip.in/v/wquantiles/badge.png)](https://pypi.python.org/pypi/wquantiles)

Weighted quantiles with Python, including weighted median. This library is based on numpy, which is the only dependence.

The main methods are quantile and median. The input of quantile is a numpy array (_data_), a numpy array of weights of one dimension and the value of the quantile (between 0 and 1) to compute. The weighting is applied along the last axis. The method median is an alias to _quantile(data, weights, 0.5)_.

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