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Avoid refining parent dimensions in NetCDF files #10623
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This changes the way DataTree objects are written to disk in a single call to `DataTree.to_netcdf()`, as well as netCDF groups written by passing an explicit `group` to `Dataset.to_netcdf()`. Conceivably we could only adjust the behavior for `DataTree`, but doing so for `Dataset` was well felt more consistent to me (and was also easier to implement). Fixes: GH10241
kmuehlbauer
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Aug 12, 2025
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Thanks Stephan, I've one minor suggestion, but this is looking good to me.
dcherian
approved these changes
Aug 13, 2025
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Thanks @dcherian and @kmuehlbauer for the reviews! |
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Aug 24, 2025
* main: (46 commits) use the new syntax of ignoring bots (pydata#10668) modification methods on `Coordinates` (pydata#10318) Silence warnings from test_tutorial.py (pydata#10661) test: update write_empty test for zarr 3.1.2 (pydata#10665) Bump actions/checkout from 4 to 5 in the actions group (pydata#10652) Add load_datatree function (pydata#10649) Support compute=False from DataTree.to_netcdf (pydata#10625) Fix typos (pydata#10655) In case of misconfiguration of dataset.encoding `unlimited_dims` warn instead of raise (pydata#10648) fix ``auto_complex`` for ``open_datatree`` (pydata#10632) Fix bug indexing with boolean scalars (pydata#10635) Improve DataTree typing (pydata#10644) Update Cartopy and Iris references (pydata#10645) Empty release notes (pydata#10642) release notes for v2025.08.0 (pydata#10641) Fix `ds.merge` to prevent altering original object depending on join value (pydata#10596) Add asynchronous load method (pydata#10327) Add DataTree.prune() method … (pydata#10598) Avoid refining parent dimensions in NetCDF files (pydata#10623) clarify lazy behaviour and eager loading chunks=None in open_*-functions (pydata#10627) ...
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This changes the way DataTree objects are written to disk in a single call to
DataTree.to_netcdf(), as well as netCDF groups written by passing an explicitgrouptoDataset.to_netcdf().Conceivably we could only adjust the behavior for
DataTree, but doing so forDatasetwas well felt more consistent to me (and was also easier to implement).whats-new.rst