issue_comments: 1561162311

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https://github.com/pydata/xarray/pull/7862#issuecomment-1561162311 https://api.github.com/repos/pydata/xarray/issues/7862 1561162311 IC_kwDOAMm_X85dDXJH 5821660 2023-05-24T13:32:26Z 2023-05-24T13:32:57Z MEMBER

@tomwhite Special casing on netcdf4 backend should be possible, too.

But it might need fixing at zarr backend, too:

python ds = xr.Dataset({"a": np.array([], dtype=xr.coding.strings.create_vlen_dtype(str))}) print(f"dtype: {ds['a'].dtype}") print(f"metadata: {ds['a'].dtype.metadata}") ds.to_zarr("a.zarr") print("\n### Loading ###") with xr.open_dataset("a.zarr", engine="zarr") as ds: print(f"dtype: {ds['a'].dtype}") print(f"metadata: {ds['a'].dtype.metadata}") ```python dtype: object metadata: {'element_type': <class 'str'>}

Loading

dtype: object metadata: None ```

Could you verify the above example, please? I'm relatively new to zarr :grimacing: 

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