SpacePy 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):
@INPROCEEDINGS{spacepy11, author = {{Morley}, S.~K. and {Koller}, J. and {Welling}, D.~T. and {Larsen}, B.~A. and {Henderson}, M.~G. and {Niehof}, J.~T.}, title = “{Spacepy - A Python-based library of tools for the space sciences}”, booktitle = “{Proceedings of the 9th Python in science conference (SciPy 2010)}”, year = 2011, address = {Austin, TX} }

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.