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
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|Filename, size & hash SHA256 hash help||File type||Python version||Upload date|
|presamples-0.2.5-py3-none-any.whl (30.2 kB) Copy SHA256 hash SHA256||Wheel||py3|
|presamples-0.2.5.tar.gz (35.2 kB) Copy SHA256 hash SHA256||Source||None|