Abstract: SpacePy provides data analysis and visualization tools for the space science community. Written in Python, it builds on the capabilities of the NumPy and MatPlotLib packages to make basic data analysis, modeling and visualization easier. It contains modules for handling many complex time formats, obtaining data from the OMNI database, and accessing the powerful Onera library. It contains a library of commonly used empirical relationships, performs association analysis, coordinate transformations, radiation belt modeling, and CDF reading, and creates publication quality plots.
Credit: Morley, Steve; Koller, Josef; Welling, Dan; Larsen, Brian; Niehof, Jon
Preferred citation method: Please see citation information here: https://github.com/spacepy/spacepy#attribution