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'Seasonal analysis routines for pysat'

Project description

pysat

pysatSeasons

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This code will handle the seasonal analysis routines for pysat. It is currently a work in progress, and will eventually replace the pysat.ssnl module in pysat.

pysatSeasons allows users to run basic seasonal analysis over N-dimensional datasets managed through the pysat code.

Main Features

  • Seasonal averaging routine for 1D and 2D data.
  • Occurrence probability routines, daily or by orbit.
  • Scatterplot of data_label(s) as functions of labelx,y over a season.

Installation

Prerequisites

pysatSeasons uses common Python modules, as well as modules developed by and for the Space Physics community. This module officially supports Python 3.7. Note that the current release is based on archived routines from pysat 2.0. This currently requires the deprecated Panel from pandas. The caps on numpy and python stem from compatibility with the maximum supported pandas version. Version 0.2.0 will rewrite the routines to remove Panel.

Common modules Community modules
matplotlib pysat
numpy<1.20
pandas<0.24

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

Project details


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Source Distribution

pysatSeasons-0.1.3.tar.gz (15.6 kB view hashes)

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