Metadata-Version: 2.1
Name: presamples
Version: 0.2.6
Summary: Package to write, load, manage and verify numerical arrays, called presamples.
Home-page: https://github.com/PascalLesage/presamples
Author: Pascal Lesage
Author-email: pascal.lesage@polymtl.ca
License: UNKNOWN
Platform: UNKNOWN
Classifier: Intended Audience :: End Users/Desktop
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Topic :: Scientific/Engineering :: Mathematics
Description-Content-Type: text/markdown
Requires-Dist: bw2calc
Requires-Dist: bw2data
Requires-Dist: numpy
Requires-Dist: peewee
Requires-Dist: scipy
Requires-Dist: stats-arrays
Requires-Dist: wrapt

# presamples ![](presamples_logo.png) 

 Package to write, load, manage and verify numerical arrays, called `presamples`.

 Initially written for scenario analysis and for the reuse of sampled data in Monte Carlo Simulations
 in the [Brightway LCA framework](https://brightwaylca.org/).

 However, the presamples package is software-generic and built on the datapackage	standard	by	
 Open	Knowledge	Foundation. 

 Presamples are useful anytime values for named parameters or matrix elements need to be saved and reused.

 **Installation**: Via `pip` or `conda` (`conda install --channel pascallesage presamples`).

 **Documentation**: We are in the process of writing better documentation.  
 - To read our documentation "under construction", go to our [readthedocs](https://presamples.readthedocs.io/en/latest/?badge=latest) page. 
 - If you can't find what you are looking for, you can also try the Jupyter Notebook [here](https://github.com/PascalLesage/presamples/blob/master/docs/presamples%20docs%20and%20examples.ipynb)

 **Examples**: We will include links to examples in our documentations. In the meantime please consult the Jupyter Notebooks [here](https://github.com/PascalLesage/presamples/tree/master/docs/examples)


[![Linux/OS X build status](https://travis-ci.org/PascalLesage/presamples.svg?branch=master)](https://travis-ci.org/PascalLesage/presamples) 
[![Windows build status](https://ci.appveyor.com/api/projects/status/pb519kt7kbs188oi/branch/master?svg=true)](https://ci.appveyor.com/project/PascalLesage/presamples/branch/master)
[![Coverage Status](https://coveralls.io/repos/github/PascalLesage/presamples/badge.svg?branch=master)](https://coveralls.io/github/PascalLesage/presamples?branch=master)
[![Documentation Status](https://readthedocs.org/projects/presamples/badge/?version=latest)](https://presamples.readthedocs.io/en/latest/?badge=latest)


