This minor release includes: - Changes to support Borealis v0.7 files - Support for snd files - Removes the deprecated deepdish dependency - Updates Python requirement to 3.8
1.2.1
This patch release includes a fix for the depreciation of a numpy method. Below is more information for the most recent minor release.
The most recent minor release included:
- 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
1.2.0
pyDARNio release v1.2.0 includes the following features:
- 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
1.1.1
pyDARN release v1.1.1 includes the following features:
* Fixes initialization of int arrays to NaN's when restructuring Borealis files from site to array * Fixes conversion from HDF5 to DMAP: * Records with multiple beams can now be converted * Correctly checks blanked_samples for both Borealis v0.5 and older files, and Borealis v0.6 files * No longer replaces last 10 lag0 samples for rawacf data
1.1
pyDARNio is released! Included are the following features: - Reading and writing DMap format IQDAT, RAWACF, FITACF, GRID/GRD and MAP files - Reading and writing HDF5 format files for Borealis radar data, as well as conversion to and from DMap format