Weighted quantiles, including weighted median, based on numpy
Project description
[](https://travis-ci.org/nudomarinero/wquantiles) [](http://dx.doi.org/10.5281/zenodo.14952) [](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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](https://travis-ci.org/nudomarinero/wquantiles){kind=link}
](http://dx.doi.org/10.5281/zenodo.14952){kind=link}
](https://pypi.python.org/pypi/wquantiles){kind=link}