Skip to main content

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

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

presamples-0.2.7.tar.gz (36.5 kB view hashes)

Uploaded Source

Built Distribution

presamples-0.2.7-py3-none-any.whl (31.8 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page