Accepting request 1324291 from home:bnavigator:branches:devel:languages:python:numeric
- Update to 2025.12.0
* This release rolls back the default engine for HTTP urls, adds
support for DataTree objects in combine_nested and contains
numerous bug fixes.
- Release 2025.11.0
* This release changes the default for keep_attrs such that
attributes are preserved by default, adds support for DataTree
in top-level functions, and contains several memory and
performance improvements as well as a number of bug fixes.
- Release 2025.10.0 and 2025.10.1
* These releases revert a breaking change to Xarray's preferred
netCDF backend.
- Release 2025.09.1
* This release contains improvements to netCDF IO and the
DataTree.from_dict() constructor, as well as a variety of bug
fixes. In particular, the default netCDF backend has switched
from netCDF4 to h5netcdf, which is typically faster.
- Release 2025.09.0
* This release brings a number of small improvements and fixes,
especially related to writing DataTree objects and netCDF files
to disk.
## New Features
* Support rechunking by SeasonResampler for seasonal data
analysis (GH10425, PR10519). By Dhruva Kumar Kaushal.
* Add convenience methods to Coordinates (PR10318) By Justus
Magin.
* Added load_datatree() for loading DataTree objects into memory
from disk. It has the same relationship to open_datatree(), as
load_dataset() has to open_dataset(). By Stephan Hoyer.
* compute=False is now supported by DataTree.to_netcdf() and
OBS-URL: https://build.opensuse.org/request/show/1324291
OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-xarray?expand=0&rev=114
This commit is contained in:
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-------------------------------------------------------------------
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Mon Dec 22 11:46:24 UTC 2025 - Ben Greiner <code@bnavigator.de>
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- Update to 2025.12.0
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* This release rolls back the default engine for HTTP urls, adds
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support for DataTree objects in combine_nested and contains
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numerous bug fixes.
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- Release 2025.11.0
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* This release changes the default for keep_attrs such that
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attributes are preserved by default, adds support for DataTree
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in top-level functions, and contains several memory and
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performance improvements as well as a number of bug fixes.
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- Release 2025.10.0 and 2025.10.1
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* These releases revert a breaking change to Xarray's preferred
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netCDF backend.
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- Release 2025.09.1
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* This release contains improvements to netCDF IO and the
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DataTree.from_dict() constructor, as well as a variety of bug
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fixes. In particular, the default netCDF backend has switched
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from netCDF4 to h5netcdf, which is typically faster.
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- Release 2025.09.0
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* This release brings a number of small improvements and fixes,
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especially related to writing DataTree objects and netCDF files
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to disk.
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## New Features
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* Support rechunking by SeasonResampler for seasonal data
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analysis (GH10425, PR10519). By Dhruva Kumar Kaushal.
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* Add convenience methods to Coordinates (PR10318) By Justus
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Magin.
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* Added load_datatree() for loading DataTree objects into memory
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from disk. It has the same relationship to open_datatree(), as
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load_dataset() has to open_dataset(). By Stephan Hoyer.
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* compute=False is now supported by DataTree.to_netcdf() and
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DataTree.to_zarr(). By Stephan Hoyer.
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* open_dataset will now correctly infer a path ending in .zarr/
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as zarr By Ian Hunt-Isaak.
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## Breaking changes
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* Following pandas 3.0 (pandas-dev/pandas#61985), Day is no
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longer considered a Tick-like frequency. Therefore non-None
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values of offset and non-"start_day" values of origin will have
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no effect when resampling to a daily frequency for objects
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indexed by a xarray.CFTimeIndex. As in pandas-dev/pandas#62101
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warnings will be emitted if non default values are provided in
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this context (GH10640, PR10650). By Spencer Clark.
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* The default backend engine used by Dataset.to_netcdf() and
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DataTree.to_netcdf() is now chosen consistently with
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open_dataset() and open_datatree(), using whichever netCDF
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libraries are available and valid, and preferring netCDF4 to
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h5netcdf to scipy (GH10654). This will change the default
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backend in some edge cases (e.g., from scipy to netCDF4 when
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writing to a file-like object or bytes). To override these new
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defaults, set engine explicitly. By Stephan Hoyer.
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* The return value of Dataset.to_netcdf() without path is now a
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memoryview object instead of bytes (PR10656). This removes an
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unnecessary memory copy and ensures consistency when using
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either engine="scipy" or engine="h5netcdf". If you need a bytes
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object, simply wrap the return value of to_netcdf() with
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bytes(). By Stephan Hoyer.
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- Release 2025.8.0
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* This release brings the ability to load xarray objects
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asynchronously, write netCDF as bytes, fixes a number of bugs,
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and starts an important deprecation cycle for changing the
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default values of keyword arguments for various xarray
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combining functions.
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- Release 2025.7.0
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* This release extends xarray's support for custom index classes,
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restores support for reading netCDF3 files with SciPy, updates
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minimum dependencies, and fixes a number of bugs.
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- Release 2025.6.0
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* This release brings HTML reprs to the documentation, fixes to
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flexible Xarray indexes, performance optimizations, more
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ergonomic seasonal grouping and resampling
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- Update extras subpackages.
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* Re-enable parallel.
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* Remove dev: incomplete deps and not useful for system install
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-------------------------------------------------------------------
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Sun Mar 30 08:19:37 UTC 2025 - Dirk Müller <dmueller@suse.com>
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