v0.4.0 #386
tomvothecoder
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v0.4.0
#386
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v0.4.0 (9 November 2022)
This minor release includes a feature update to support datasets that have N dimensions mapped to N coordinates to represent an axis. This means
xcdat
APIs are able to intelligently select which axis's coordinates and bounds to work with if multiple are present within the dataset. Decoding time is now a lazy operation, leading to significant upfront runtime improvements when opening datasets withdecode_times=True
.A new notebook called "A Gentle Introduction to xCDAT" was added to the documentation gallery to help guide new xarray/xcdat users.
xCDAT is now hosted on Zenodo with a DOI for citations.
There are various bug fixes for bounds, naming of spatial weights, and a missing flag for
xesmf
that broke curvilinear regridding.Features
get_axis_coord()
toget_dim_coords()
andget_axis_dim()
toget_dim_keys()
rather than the parent dataset
decode_time()
) is now a lazy operation, which results in significant runtime improvements by @tomvothecoder in Support for N axis dimensions mapped to N coordinates #343Bug Fixes
add_bounds()
not ignoring 0-dim singleton coords by @tomvothecoder and @pochedls in Support for N axis dimensions mapped to N coordinates #343xesmf
flag that was missing which broke curvilinear regridding by @jasonb5 and @pochedls in Fixes xesmf flag #374Documentation
ipython
syntax highlighting for notebooks by @tomvothecoder in Update documentation #362DevOps
Full Changelog: v0.3.3...v0.4.0
This discussion was created from the release v0.4.0.
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