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

Project description

presamples

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.

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 page.
  • If you can't find what you are looking for, you can also try the Jupyter Notebook here

Linux/OS X build status Windows build status Coverage Status Documentation Status

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Files for presamples, version 0.2.7
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Filename, size presamples-0.2.7-py3-none-any.whl (31.8 kB) File type Wheel Python version py3 Upload date Hashes View
Filename, size presamples-0.2.7.tar.gz (36.5 kB) File type Source Python version None Upload date Hashes View

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