issue_comments: 1311899371

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https://github.com/pydata/xarray/issues/7280#issuecomment-1311899371 https://api.github.com/repos/pydata/xarray/issues/7280 1311899371 IC_kwDOAMm_X85OMf7r 14808389 2022-11-11T16:11:12Z 2022-11-11T16:11:12Z MEMBER

the reason that's failing is that scipy.sparse.coo_array does not implement __array_function__ or __array_namespace__. As soon as that's the case I'd expect it to work.

In fact, setting s.__array_namespace__ = lambda x: x will result in xr.DataArray(s) printing as <xarray.DataArray (dim_0: 4, dim_1: 4)> <4x4 sparse array of type '<class 'numpy.float64'>' with 4 stored elements in COOrdinate format> Dimensions without coordinates: dim_0, dim_1 which I think is what you were after? Though of course that does not mean that we can actually use it...

 
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