PRMS-Python provides a Python interface to PRMS data files and manages PRMS simulations. This module aims to improve the efficiency of PRMS workflows by giving access to PRMS data structures while providing "pythonic" tools to do scenario-based PRMS simulations. By "scenario-based" we mean testing model hypotheses associated with model inputs, outputs, and model structure. For example, parameter sensitivity analysis, where each "scenario" is an iterative perturbation of one or many parameters. Another example "scenario-based" modeling exercise would be climate scenario modeling: what will happen to modeled outputs if the input meteorological data were to change?

Currently it's clone-then-pip:

git clone https://github.com/PRMS-Python/PRMS-Python.git

then

pip install --editable .

We reccomend starting with the "getting started" Jupyter notebook for file structure rules that PRMS-Python uses and then moving on to other example notebooks in the notebooks directory. Online documentation is also available here.

This project uses the Sphinx documentation engine for Python The documentation source is located in docs/source. Eventually we can wrap the following steps into a script. But for now, to build the documentation, go to the docs/ directory and run

make html

If it fails because of missing dependencies, just install the dependencies it says it's missing. I don't know why it's asking for some dependencies right now.

I run them using nose but that's not required. From the root repo directory

nosetests -v

We welcome anyone seriously interested in contributing to PRMS-Python to do so in anyway they see fit. If you are not sure where to begin you can look for current issues or submit a new issue here. You may also fork PRMS-Python and submit a pull request if you would like to offer your direct changes to the package.