Metadata-Version: 2.1
Name: punpy
Version: 0.2.1
Summary: Propagating UNcertainties in PYthon
Home-page: https://github.com/pdevis/punpy
Author: Pieter De Vis
Author-email: pieter.de.vis@npl.co.uk
License: UNKNOWN
Keywords: uncertainty propagation covariance MC measurement function
Platform: UNKNOWN
Description-Content-Type: text/markdown
Requires-Dist: numpy
Requires-Dist: matplotlib

# Punpy
[![Build Status](https://travis-ci.org/pdevis/punpy.svg?branch=master)](https://travis-ci.org/github/pdevis/punpy) [![codecov](https://codecov.io/gh/pdevis/punpy/branch/master/graph/badge.svg)](https://codecov.io/gh/pdevis/punpy) [![Documentation Status](https://readthedocs.org/projects/punpy/badge/?version=latest)](https://punpy.readthedocs.io/en/latest/?badge=latest)

Punpy stands for "Propagating UNcertainties with PYthon". This is a **preliminary** tool to propagate random, structured and systematic uncertainties and calculate covariance/correlation matrices through a given measurement function. It is under development by the ECO group of the UK National Physical Labaratory. It currently uses a Monte Carlo approach, with other methods to follow.

## Documentation

For more information visit our [documentation](https://punpy.readthedocs.io/en/latest/).



