New features of pyDARNio v1.2.0 include:
Handling of extra fields in fitacf files coming in the next RST release, including the name of the ACF fitting algorithm used (algorithm), the value of TDIFF used to calculate the elevation angles (tdiff), and more descriptive field names for the elevation angle fields in FitACF 3.0 (elv_error & elv_fitted)
More flexibility around optional fields for all file types
Updates and speed improvements for Borealis file io
The new version pyDARNio can be installed via
pip3 install pydarnio
or an exisiting installation can be updated via
pip3 install --upgrade pydarnio
This new version will be the default version automatically installed on a new pyDARN installation.
The DVWG is expecting a new release for pyDARN before the holidays with lots of new and improved features.
Release of pyDARNio v1.2.0 announced
By: miker on: Wed., Nov. 30, 2022 05:12 PM EST (321 Reads)
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On behalf of the Data Visualization Working Group (DVWG), Carley Martin of the University of Saskatchewan has announced the release of the new version of pyDARNio. This is the Python SuperDARN io package used with pyDARN and other libraries. A description of the new features of pyDARNio v1.2.0 can be viewed by clicking below on 'Read More'.
The new version pyDARNio can be installed via pip3 install pydarnio or an existing installation can be updated via pip3 install --upgrade pydarnio This new version will be the default version automatically installed on a new pyDARN installation. A news article describing the last major release of pyDARN (Version 3.0) can be viewed at http://vt.superdarn.org/tiki-read_article.php?articleId=436  The DVWG is expecting a new release for pyDARN before the holidays with lots of new and improved features. |
