Seasonal analysis routines for pysat
Project description
pysatSeasons
pysatSeasons allows users to run seasonal data analyses over N-dimensional data sets managed through the pysat module.
Main Features
- Seasonal binning and averaging routines for 1D and 2D distributions of nD data.
- Occurrence probability routines, daily or by orbit.
- Scatterplot of data_label(s) over two dimensions over a season.
Installation
Prerequisites
pysatSeasons uses common Python modules, as well as modules developed by and for the Space Physics community.
| Common modules | Community modules |
|---|---|
| matplotlib | pysat >= 3.2.0 |
| numpy | |
| pandas | |
| xarray |
GitHub Installation
First, checkout the repository:
git clone https://github.com/pysat/pysatSeasons.git
Change directories into the repository folder and run the setup.py file. For a local install use the "--user" flag after "install".
cd pysatSeasons/
python setup.py install
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Source Distribution
pysatseasons-0.2.1.tar.gz
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