SpacePy 0.6.0 documentation

SpacePy is a package for Python, targeted at the space sciences, that aims to make basic data analysis, modeling and visualization easier. It builds on the capabilities of the well-known NumPy and MatPlotLib packages. Publication quality output direct from analyses is emphasized among other goals:

  • Quickly obtain data

  • Create publications quality plots

  • Perform complicated analysis easily

  • Run common empirical models

  • Change coordinates effortlessly

  • Harness the power of Python

The SpacePy project seeks to promote accurate and open research standards by providing an open environment for code development. In the space physics community there has long been a significant reliance on proprietary languages that restrict free transfer of data and reproducibility of results. By providing a comprehensive, open-source library of widely-used analysis and visualization tools in a free, modern and intuitive language, we hope that this reliance will be diminished.

When publishing research which used SpacePy, please provide appropriate credit to the SpacePy team via citation or acknowledgment.

To cite SpacePy in publications, use (BibTeX code):

@article{niehof2022spacepy, title={The SpacePy space science package at 12 years}, author={Niehof, Jonathan T and Morley, Steven K and Welling, Daniel T and Larsen, Brian A}, journal={Frontiers in Astronomy and Space Sciences}, volume={9}, year={2022}, doi={10.3389/fspas.2022.1023612}, publisher={Frontiers} }

To cite the code itself:

@software{spacepy_code, author = {Morley, Steven K. and Niehof, Jonathan T. and Welling, Daniel T. and Larsen, Brian A. and Brunet, Antoine and Engel, Miles A. and Gieseler, Jan and Haiducek, John and Henderson, Michael and Hendry, Aaron and Hirsch, Michael and Killick, Peter and Koller, Josef and Merrill, Asher and Rastatter, Lutz and Reimer, Ashton and Shih, Albert Y. and Stricklan, Amanda}, title = {SpacePy}, publisher = {Zenodo}, doi = {10.5281/zenodo.3252523}, url = {https://doi.org/10.5281/zenodo.3252523} }

Certain modules may provide additional citations in the __citation__ attribute. Contact a module’s author (details in the __citation__ attribute) before publication or public presentation of analysis performed by that module, or in case of questions about the module. This allows the author to validate the analysis and receive appropriate credit for his or her work.

Getting Started

First steps in SpacePy and scientific Python.

SpacePy Documents

Further reference material on how to use SpacePy, and examples.

Developer Guide

For those developing SpacePy, plus tips for all Python developers.

SpacePy Module Reference

Description of all functions within SpacePy, by module.

Indices and tables

Release:

0.6.0

Doc generation date:

Apr 24, 2024