We have now released version 1.2 of wradlib.
This version contains many bugfixes as well as improvements and enhancements. Most additions were pulled in within Hacktoberfest, the month-long celebration of open source software. Although this years Hacktoberfest is over, we encourage every \(\omega radlib\) user to join the party and envision the Hacktoberfest’s 3 main mottos:
Everyone is welcome!
Quantity is fun, Quality is key
Short term action, long term impact
wradlib is building upon your support as users, feature requesters, bug reporters, collaborators and contributors. Thank you all, you’re more than welcome.
Now, these are the most important changes:
classify-module Contains Hydrometeorclassification (HMC) using 2D membershipfunctions. For incorporation of temperature data to HMC
get_radiosondefunction was added to
io.misc. An example notebook covering the HMC workflow was added to the documentation (wradlib-notebooks). Other classification functions (clutter etc.) will be moved from
classifyin the next major version 2.0.
Speed-up interpolation functions By using special keyword argument
balanced_tree = Falsefor SciPy’s
cKDTreeimplementation the ipol-functions could be accelerated quite substantially (factor 100).
Introduced new header tokens for RADOLAN products German weather service (DWD) introduced new products using new header tokens (
U). The reader functions were enabled to work with these new products.
Revised documentation structure and CI workflows The documentation has been revised in terms of conformance and consistency, links were updated, typos fixed and CI workflow improved.
For a complete list of changes refer to the wradlib repository.