On behalf of the Data Visualization Working Group (DVWG), Carley Martin at the University of Saskatchewan has issued the following announcement via the darn-users mailing list:
pyDARNio v2.0 is now available for download!
[pyDARNio is an open source Python library for reading, writing and reformatting SuperDARN data.]
pyDARNio version 2.0 contains support for Borealis v1.0 files, the new 'srng' field, and an impressive speed increase for I/O developed by Remington Rohel 👏
Installation:
You can install fresh with:
pip3 install pydarnio
or upgrade current installations to this latest version with:
pip3 install --upgrade pydarnio
Considerations:
Please note that there are some large changes, we have made reading easier, but you may have to change existing code, for example:
previously: fitacf_data = pydarnio.SuperDARNRead('filenamehere').read_fitacf()
now:fitacf_data, _ = pydarnio.read_fitacf('filenamehere')
More information can be found on our tutorials: https://pydarnio.readthedocs.io/en/latest/user/SDarn/
pyDARN is currently being updated to include this new version of pydarnio, when installing a fresh pyDARN, you may need to specifically install the older version of pyDARNio (pip3 install pydarnio==1.3)until a new release for pyDARN is made.
We hope these changes are more intuitive and easy to use, but please let us know if you have any issues or questions! You can reply to me at carley.martin@usask.ca or email the DVWG on darn-dvwg@isee.nagoya-u.ac.jp