[Spedas-list] Release of PySPEDAS 1.3

[Eric Grimes]

The Space Physics Environment Data Analysis Software (SPEDAS) development team is pleased to announce the release of PySPEDAS 1.3! The latest version is available in PyPI, as well as at our GitHub repository:

https://github.com/spedas/pyspedas <https://github.com/spedas/pyspedas>

For those of you unaware, PySPEDAS contains tools for loading, analyzing and plotting data from a number of space- and ground-based observatories.

Where to get it
The latest version can be installed using pip:

pip install pyspedas --upgrade

If you've previously installed pyspedas, the --upgrade option will be required to update to the latest version. 

What's new?
- First version shipped with our experimental matplotlib backend to PyTplot
- Added wrappers for Sheng Tian’s implementation of the geopack library (T89, T96, T01, TS04)
- Large updates to the MMS plug-in, including new tools for calculating energy and angular spectrograms, as well as moments from the FPI and HPCA plasma distribution data
- Added the 0th (EXPERIMENTAL) version of the ERG plug-in from the Arase team in Japan
- Added new tools for working with various vector data stored in PyTplot variables, e.g., tkm2re, cross products, dot products, normalizing vectors
- Added routines for wave polarization calculations
- Added routines for field aligned coordinate transformations
- Added tools for Spherical Elementary Currents (SECS) and Equivalent Ionospheric Currents (EICS) from Xin Cao and Xiangning Chu at the University of Colorado Boulder
- Added initial load routine for Heliophysics Application Programmer's Interface (HAPI) data
- Added initial load routine for Kyoto Dst data
- Added initial load routine for THEMIS All Sky Imager data
- Added THEMIS FIT L1 calibration tools
- Numerous other bug fixes and updates
- Large updates to the documentation (including over 100 new copy+paste examples)

We created a notebook showing several of these new features at:

https://colab.research.google.com/drive/1_fV6Ob8rfnCkohpec5YtMY4tl7tLbuvB?usp=sharing <https://colab.research.google.com/drive/1_fV6Ob8rfnCkohpec5YtMY4tl7tLbuvB?usp=sharing>

Where to find documentation
Please see our docuementation online at: 

https://pyspedas.readthedocs.io/ <https://pyspedas.readthedocs.io/>

Additional example notebooks can be found at our SPEDAS GitHub page:

https://github.com/spedas <https://github.com/spedas>

For example, more MMS notebooks can be found in the repository:

https://github.com/spedas/mms-examples <https://github.com/spedas/mms-examples>

Where to get help
Bug reports, help requests, and enhancement suggestions can be filed as issues directly on our repository: 

https://github.com/spedas/pyspedas <https://github.com/spedas/pyspedas>

or can be submitted via email to: SPEDAS_Science_Support at ssl.berkeley.edu <mailto:SPEDAS_Science_Support at ssl.berkeley.edu>

Cheers,
Eric Grimes, and the SPEDAS development team
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