MNT: (deps): Bump xarray from 2023.8.0 to 2024.10.0 in /ci

[dependabot]

Bumps xarray from 2023.8.0 to 2024.10.0.

Release notes

Sourced from xarray's releases.

v2024.10.0

This release brings official support for xarray.DataTree, and compatibility with zarr-python v3!

Aside from these two huge features, it also improves support for vectorised interpolation and fixes various bugs.

Thanks to the 31 contributors to this release: Alfonso Ladino, DWesl, Deepak Cherian, Eni, Etienne Schalk, Holly Mandel, Ilan Gold, Illviljan, Joe Hamman, Justus Magin, Kai Mühlbauer, Karl Krauth, Mark Harfouche, Martey Dodoo, Matt Savoie, Maximilian Roos, Patrick Hoefler, Peter Hill, Renat Sibgatulin, Ryan Abernathey, Spencer Clark, Stephan Hoyer, Tom Augspurger, Tom Nicholas, Vecko, Virgile Andreani, Yvonne Fröhlich, carschandler, joseph nowak, mgunyho and owenlittlejohns

What's Changed

• New whatsnew section by @​owenlittlejohns in pydata/xarray#9483
• Update pyproject.toml by @​TomAugspurger in pydata/xarray#9484
• open_groups for zarr backends by @​eni-awowale in pydata/xarray#9469
• Ensure TreeNode doesn't copy in-place by @​TomNicholas in pydata/xarray#9482
• Make illegal path-like variable names when constructing a DataTree from a Dataset by @​etienneschalk in pydata/xarray#9378
• DAS-2155 - Merge datatree documentation into main docs. by @​owenlittlejohns in pydata/xarray#9033
• Forbid modifying names of DataTree objects with parents by @​shoyer in pydata/xarray#9494
• Fixed formatting for whats-new.rst and added line for open_groups with zarr backends. by @​eni-awowale in pydata/xarray#9493
• Opt out of floor division for float dtype time encoding by @​spencerkclark in pydata/xarray#9497
• Stateful test: silence DeprecationWarning from drop_dims by @​dcherian in pydata/xarray#9508
• Turn off survey banner by @​jhamman in pydata/xarray#9512
• flox: don't set fill_value where possible by @​dcherian in pydata/xarray#9433
• Fix pandas datetime decoding with NumPy >= 2.0 for small integer dtypes by @​spencerkclark in pydata/xarray#9518
• Datatree setitem dataset by @​TomNicholas in pydata/xarray#9516
• Repo review bugbear by @​Armavica in pydata/xarray#9505
• Make _replace more lenient. by @​dcherian in pydata/xarray#9517
• Update compat error checking to disallow "minimal" in concat() by @​VeckoTheGecko in pydata/xarray#9525
• (fix): ExtensionArray + DataArray roundtrip by @​ilan-gold in pydata/xarray#9520
• Improve safe chunk validation by @​josephnowak in pydata/xarray#9527
• Fix DataTree repr to not repeat inherited coordinates by @​shoyer in pydata/xarray#9532
• cast numpy scalars to arrays in as_compatible_data by @​keewis in pydata/xarray#9403
• Add .rolling_exp onto .rolling's 'See also' by @​max-sixty in pydata/xarray#9534
• Update array signatures with copy by @​Illviljan in pydata/xarray#9529
• Support vectorized interpolation with more scipy interpolators by @​hollymandel in pydata/xarray#9526
• Add yet an other CI for numpy 2.1 by @​hmaarrfk in pydata/xarray#9540
• Update donation links by @​martey in pydata/xarray#9549
• Remove duplicate coordinates with indexes on sub-trees by @​shoyer in pydata/xarray#9531
• Typos in pandas.rst by @​carschandler in pydata/xarray#9551
• Fix NamedArray html repr crashing by @​Illviljan in pydata/xarray#9553
• allow using __array_function__ as a fallback for missing Array API functions by @​keewis in pydata/xarray#9530
• Revert "Improve safe chunk validation" by @​shoyer in pydata/xarray#9558
• Improve safe chunk validation by @​josephnowak in pydata/xarray#9559
• DOC/ecosystem: Fix tiny typo by @​yvonnefroehlich in pydata/xarray#9562
• bump scientific-python/upload-nightly-action by @​keewis in pydata/xarray#9566
• towards new h5netcdf/netcdf4 features by @​kmuehlbauer in pydata/xarray#9509
• Add missing space between sentences in error message by @​shoyer in pydata/xarray#9563
• Remove superfluous lines from pyright config by @​max-sixty in pydata/xarray#9569
• Adjust pip extra dependencies by @​max-sixty in pydata/xarray#9571
• Add numba constraint by @​max-sixty in pydata/xarray#9572
• Add .cumulative to cumsum & cumprod docstrings by @​max-sixty in pydata/xarray#9533
• Remove unneeded indentation by @​max-sixty in pydata/xarray#9574

... (truncated)

Changelog

Sourced from xarray's changelog.

How to issue an xarray release in 16 easy steps

Time required: about an hour.

These instructions assume that upstream refers to the main repository:

$ git remote -v
{...}
upstream        https://github.com/pydata/xarray (fetch)
upstream        https://github.com/pydata/xarray (push)

1. Ensure your main branch is synced to upstream:

   git switch main
   git pull upstream main

2. Add a list of contributors. First fetch all previous release tags so we can see the version number of the last release was:

   git fetch upstream --tags

   Then run

   python ci/release_contributors.py

   (needs gitpython and toolz / cytoolz)

   and copy the output.

3. Write a release summary: ~50 words describing the high level features. This will be used in the release emails, tweets, GitHub release notes, etc.

4. Look over whats-new.rst and the docs. Make sure "What's New" is complete (check the date!) and add the release summary at the top. Things to watch out for:

   • Important new features should be highlighted towards the top.
   • Function/method references should include links to the API docs.
   • Sometimes notes get added in the wrong section of whats-new, typically due to a bad merge. Check for these before a release by using git diff, e.g., git diff v{YYYY.MM.X-1} whats-new.rst where {YYYY.MM.X-1} is the previous release.

5. Open a PR with the release summary and whatsnew changes; in particular the release headline should get feedback from the team on what's important to include.

6. After merging, again ensure your main branch is synced to upstream:

   git pull upstream main

7. If you have any doubts, run the full test suite one final time!

... (truncated)

Commits

• 165177e v2024.10.0 release summary (#9678)
• fbe73ef drop the length from numpy's fixed-width string dtypes (#9586)
• f24cae3 fixing behaviour for group parameter in open_datatree (#9666)
• 519f05e Use zarr v3 dimension_names (#9669)
• 5b2e6f1 fix(zarr): use inplace array.resize for zarr 2 and 3 (#9673)
• 1f5889a implement dask methods on DataTree (#9670)
• 521b087 support chunks in open_groups and open_datatree (#9660)
• b133fdc Compatibility for zarr-python 3.x (#9552)
• 4798707 Update to_dataframe doc to match current behavior (#9662)
• 5632c8e Reduce graph size through writing indexes directly into graph for ``map_block...
• Additional commits viewable in compare view

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