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
Examples: We will include links to examples in our documentations. In the meantime please consult the Jupyter Notebooks here
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