Improve consistency of default engine and return memoryview instead of bytes from to_netcdf() #10656
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This PR introduces a bug fix and a breaking changes: 1. The default backend ``engine`` used by `Dataset.to_netcdf` and `DataTree.to_netcdf` is now chosen consistently with `open_dataset` and `open_datatree`, using whichever netCDF libraries are available and preferring netCDF4 to h5netcdf to scipy. Previously, `DataTree.to_netcdf` was hard-coded to use h5netcdf. 2. The return value of `Dataset.to_netcdf` without ``path`` is now a ``memoryview`` object instead of ``bytes``. This removes an unnecessary memory copy and ensures consistency when using either ``engine="scipy"`` or ``engine="h5netcdf"``. Fixes pydata#10654
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shoyer
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Aug 19, 2025
| @dataclass | ||
| class BytesIOProxy(Generic[BytesOrMemory]): | ||
| """Proxy object for a write that returns either bytes or a memoryview.""" | ||
| class BytesIOProxy: |
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Note: I'm keeping around BytesIOProxy because we'll need it for #10624
shoyer
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This PR introduces two breaking changes:
engineused byDataset.to_netcdfandDataTree.to_netcdfis now chosen consistently withopen_datasetandopen_datatree, using whichever netCDF libraries are available and valid, and preferring netCDF4 to h5netcdf to scipy. Previously,DataTree.to_netcdfwas hard-coded to use scipy for writing to file-like objects or bytes, andDataTree.to_netcdfwas hard-coded to use h5netcdf.Dataset.to_netcdfwithoutpathis now amemoryviewobject instead ofbytes. This removes an unnecessary memory copy and ensures consistency when using eitherengine="scipy"orengine="h5netcdf".It also includes a minor bug-fix, raising an error when returning a memoryview with
compute=FalseFixes #10654
whats-new.rst