issue_comments: 384073275

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https://github.com/pydata/xarray/issues/1699#issuecomment-384073275 https://api.github.com/repos/pydata/xarray/issues/1699 384073275 MDEyOklzc3VlQ29tbWVudDM4NDA3MzI3NQ== 6213168 2018-04-24T20:42:57Z 2018-04-24T20:42:57Z MEMBER

@shoyer that seems counter-intuitive for me - you are returning two datasets after all. If we go with the list(dict) notation, we could also add a Dataset.dtype property, which (coherently with dims and chunks) would return a dict. This would be very handy as, in 99% of the times, people will want to write: def myfunc(x): return apply_ufunc(numpy_kernel, x, dask='parallelized', output_dtypes=[x.dtype]) which would magically work both when x is a DataArray and when it's a Dataset

 
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