You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
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 with decode_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.
Rename get_axis_coord() to get_dim_coords() and get_axis_dim() to get_dim_keys()
Update spatial and temporal accessor class methods to refer to the dimension coordinate variable on the data_var being operated on,
rather than the parent dataset
reacted with thumbs up emoji reacted with thumbs down emoji reacted with laugh emoji reacted with hooray emoji reacted with confused emoji reacted with heart emoji reacted with rocket emoji reacted with eyes emoji
-
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.
Beta Was this translation helpful? Give feedback.
All reactions