Releases: pydata/xarray
v2022.03.0
This release brings a number of small improvements, as well as a move to calendar versioning.
Many thanks to the 16 contributors to the v2022.02.0 release!
Aaron Spring, Alan D. Snow, Anderson Banihirwe, crusaderky, Illviljan, Joe Hamman, Jonas Gliß, Lukas Pilz, Martin Bergemann, Mathias Hauser, Maximilian Roos, Romain Caneill, Stan West, Stijn Van Hoey, Tobias Kölling, and Tom Nicholas.
v0.21.1
v0.21.0
Many thanks to the 20 contributors to the v0.21.0 release!
Abel Aoun, Anderson Banihirwe, Ant Gib, Chris Roat, Cindy Chiao,
Deepak Cherian, Dominik Stańczak, Fabian Hofmann, Illviljan, Jody Klymak, Joseph
K Aicher, Mark Harfouche, Mathias Hauser, Matthew Roeschke, Maximilian Roos,
Michael Delgado, Pascal Bourgault, Pierre, Ray Bell, Romain Caneill, Tim Heap,
Tom Nicholas, Zeb Nicholls, joseph nowak, keewis.
v0.20.2
This is a bugfix release to resolve xr.corr
& xr.map_blocks
when dask is not installed.
It also includes performance improvements in unstacking to a sparse
array and a
number of documentation improvements.
Many thanks to the 20 contributors:
Aaron Spring, Alexandre Poux, Deepak Cherian, Enrico Minack, Fabien Maussion,
Giacomo Caria, Gijom, Guillaume Maze, Illviljan, Joe Hamman, Joseph Hardin, Kai
Mühlbauer, Matt Henderson, Maximilian Roos, Michael Delgado, Robert Gieseke,
Sebastian Weigand and Stephan Hoyer.
v0.20.1
v0.20.0
This release brings improved support for pint arrays, methods for weighted standard deviation, variance, and sum of squares, the option to disable the use of the bottleneck library, significantly improved performance of unstack, as well as many bugfixes and internal changes.
v0.19.0
This release brings improvements to plotting of categorical data, the ability to specify how attributes are combined in xarray operations, a new high-level unify_chunks
function, as well as various deprecations, bug fixes, and minor improvements.
v0.18.2
v0.18.1
This release is intended as a small patch release to be compatible with the new 2021.5.0 dask.distributed release. It also includes a new drop_duplicates
method, some documentation improvements, the beginnings of our internal Index refactoring, and some bug fixes.
v0.18.0
This release brings a few important performance improvements, a wide range of usability upgrades, lots of bug fixes, and some new features. These include a plugin API to add backend engines, a new theme for the documentation, curve fitting methods, and several new plotting functions.