Skip to content

Latest commit

 

History

History
53 lines (38 loc) · 2.01 KB

README.md

File metadata and controls

53 lines (38 loc) · 2.01 KB
The pysatSeasons logo: A calendar page featuring a snake orbiting a blue planet

pysatSeasons

Documentation Status PyPI Package latest release Build Status Coverage Status DOI

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