Package to write, load, manage and verify numerical arrays, called presamples.
Package to write, load, manage and verify numerical arrays, called
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.
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
Examples: We will include links to examples in our documentations. In the meantime please consult the Jupyter Notebooks here
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
|Filename, size||File type||Python version||Upload date||Hashes|
|Filename, size presamples-0.2.5-py3-none-any.whl (30.2 kB)||File type Wheel||Python version py3||Upload date||Hashes View hashes|
|Filename, size presamples-0.2.5.tar.gz (35.2 kB)||File type Source||Python version None||Upload date||Hashes View hashes|
Hashes for presamples-0.2.5-py3-none-any.whl