pysatModels handles model-centric data loading through pysat and contains a variety of tools to perform model-data analysis, including model validation.
Come join us on Slack! An invitation to the pysat workspace is available in the 'About' section of the pysat GitHub Repository.
The following instructions will allow you to install pysatModels and give some examples on how to use the routines
pysatModels uses common Python modules, as well as modules developed by and for the Space Physics community. This module officially supports Python 3.6+.
| Common modules | Community modules |
|---|---|
| numpy | pysat |
| pandas | pyForecastTools |
| requests | |
| scipy | |
| xarray |
pip install pysatmodels
-
Clone the git repository:
git clone https://github.com/pysat/pysatModels.git -
Install pysatModels: Change directories into the repository folder and run the setup.py file. There are a few ways you can do this: A. Install on the system (root privileges required):
sudo python3 setup.py installB. Install at the user level:python3 setup.py install --userC. Install with the intent to develop locally:python3 setup.py develop --user
Examples for using the different pysatModels utilities are included in the documentation.
If you're unfamiliar with pysat, tutorials and examples are available in its documentation.