rstoneback/pysat: JGR-Space Physics Publication Release

PYSAT: Python Satellite Data Analysis Toolkit has been published in the Journal of Geophysical Research - Space Physics (DOI: 10.1029/2018JA025297)

Changelog for v1.0

• Improved consistency when handling higher order metadata
• Improved translation of metadata within netCDF4 files to pysat standard
• Added pysatCDF as package requirement
• PEP8 upgrades throughout
• Updated load_netCDF4 routine to support ICON EUV files natively
• to_netCDF4 function updated to be consistent with load_netCDF4
• Meta object upgraded to handle more attributes by default
• Meta object has been upgraded to preserve case of variable and attribute names
• Metadata access is case insensitive for ease of use
• Changes to units_label or name_label are automatically applied to underlying metadata
• Improved handling of custom units and name labels at Instrument level
• Additional functions added to Meta object, attrs, keys, keys_nD, has_attr, routines that return preserved case
• Additional unit tests for Meta added
• Reduced resources required for unit tests
• Improved windows compatibility
• Added more unit tests for seasonal averages
• Added more simulated data types to pysat_testing2D
• Added initial support for ICON EUV
• Added initial support for ICON IVM
• Added support for version/revision numbers in filenames within Files class constructor from_os