MNT: (deps): Bump xarray from 0.20.2 to 2024.7.0 in /ci

[dependabot]

Bumps xarray from 0.20.2 to 2024.7.0.

Release notes

Sourced from xarray's releases.

v2024.07.0

This release extends the API for groupby operations with various grouper objects, and includes improvements to the documentation and numerous bugfixes.

Thanks to the 22 contributors to this release: Alfonso Ladino, ChrisCleaner, David Hoese, Deepak Cherian, Dieter Werthmüller, Illviljan, Jessica Scheick, Joel Jaeschke, Justus Magin, K. Arthur Endsley, Kai Mühlbauer, Mark Harfouche, Martin Raspaud, Mathijs Verhaegh, Maximilian Roos, Michael Niklas, Michał Górny, Moritz Schreiber, Pontus Lurcock, Spencer Clark, Stephan Hoyer and Tom Nicholas

What's Changed

• new whats-new section by @​keewis in pydata/xarray#9115
• Move Sphinx directives out of See also by @​max-sixty in pydata/xarray#8466
• Add test for rechunking to a size string by @​dcherian in pydata/xarray#9117
• Update docstring in api.py for open_mfdataset(), clarifying "chunks" argument by @​arthur-e in pydata/xarray#9121
• Grouper refactor by @​dcherian in pydata/xarray#9122
• adjust repr tests to account for different platforms (#9127) by @​mgorny in pydata/xarray#9128
• Support duplicate dimensions in .chunk by @​mraspaud in pydata/xarray#9099
• Update zendoo badge link by @​max-sixty in pydata/xarray#9133
• Split out distributed writes in zarr docs by @​max-sixty in pydata/xarray#9132
• Improve to_zarr docs by @​max-sixty in pydata/xarray#9139
• groupby: remove some internal use of IndexVariable by @​dcherian in pydata/xarray#9123
• Improve zarr chunks docs by @​max-sixty in pydata/xarray#9140
• Include numbagg in type checks by @​max-sixty in pydata/xarray#9159
• Remove mypy exclusions for a couple more libraries by @​max-sixty in pydata/xarray#9160
• Add test for #9155 by @​max-sixty in pydata/xarray#9161
• Docs: Add figure for navigating help resources by @​JessicaS11 in pydata/xarray#9147
• switch to datetime unit "D" by @​keewis in pydata/xarray#9170
• Slightly improve DataTree repr by @​shoyer in pydata/xarray#9064
• Fix example code formatting for CachingFileManager by @​djhoese in pydata/xarray#9178
• Change np.core.defchararray to np.char (#9165) by @​pont-us in pydata/xarray#9166
• temporarily pin numpy<2 by @​keewis in pydata/xarray#9181
• temporarily remove pydap from CI by @​keewis in pydata/xarray#9183
• also pin numpy in the all-but-dask CI by @​keewis in pydata/xarray#9184
• promote floating-point numeric datetimes to 64-bit before decoding by @​keewis in pydata/xarray#9182
• "source" encoding for datasets opened from fsspec objects by @​keewis in pydata/xarray#8923
• properly diff objects with arrays as attributes on variables by @​keewis in pydata/xarray#9169
• Allow str in static typing of reindex, ffill etc. by @​headtr1ck in pydata/xarray#9194
• Fix dark-theme in html[data-theme=dark]-tags by @​prisae in pydata/xarray#9200
• Add open_datatree benchmark by @​aladinor in pydata/xarray#9158
• use a composite strategy to generate the dataframe with a tz-aware datetime column by @​keewis in pydata/xarray#9174
• Hierarchical coordinates in DataTree by @​shoyer in pydata/xarray#9063
• avoid converting custom indexes to pandas indexes when formatting coordinate diffs by @​keewis in pydata/xarray#9157
• Fix reductions for np.complex_ dtypes with numbagg by @​max-sixty in pydata/xarray#9210
• Consolidate some numbagg tests by @​max-sixty in pydata/xarray#9211
• Use numpy 2.0-compat np.complex64 dtype in test by @​max-sixty in pydata/xarray#9217
• Fix two bugs in DataTree.update() by @​shoyer in pydata/xarray#9214
• Only use necessary dims when creating temporary dataarray by @​Illviljan in pydata/xarray#9206
• Cleanup test_coding_times.py by @​Illviljan in pydata/xarray#9223
• Use reshape and ravel from duck_array_ops in coding/times.py by @​Illviljan in pydata/xarray#9225
• Use duckarray assertions in test_coding_times by @​Illviljan in pydata/xarray#9226
• Fix time indexing regression in convert_calendar by @​hmaarrfk in pydata/xarray#9192
• numpy 2 compatibility in the netcdf4 and h5netcdf backends by @​keewis in pydata/xarray#9136
• numpy 2 compatibility in the iris code paths by @​keewis in pydata/xarray#9156

... (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

• acab647 release notes for 2024.07.0 (#9287)
• ea23dd9 Allow importing from xarray.groupers (#9289)
• 470d1e8 automate extracting the contributors (#9288)
• af12604 Support rechunking to a frequency. (#9109)
• 53c5634 Fully deprecate squeeze kwarg to groupby (#9280)
• 0023e5d Change .groupby fastpath to work for monotonic increasing and decreasing (#7427)
• d0048ef Adding open_datatree backend-specific keyword arguments (#9199)
• ad35a10 [pre-commit.ci] pre-commit autoupdate (#9202)
• 45d25b9 Restore ability to specify _FillValue as Python native integers (#9258)
• 95e67b6 add backend intro and how-to diagram (#9175)
• Additional commits viewable in compare view

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[dependabot]

Superseded by #785.