pysatModels 0.1.0

'Supports model analysis and model-data comparisons'

pysatModels

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.

Installation

The following instructions will allow you to install pysatModels and give some examples on how to use the routines

Prerequisites

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

Installation through PyPi

pip install pysatmodels

Installation from GitHub

1. Clone the git repository: git clone https://github.com/pysat/pysatModels.git

2. 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 install B. Install at the user level: python3 setup.py install --user C. Install with the intent to develop locally: python3 setup.py develop --user

Running the code

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.