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  • andersy005 · 1 ✖

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  • map_blocks doesn't handle tranposed arrays · 1 ✖

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id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
842692873 https://github.com/pydata/xarray/issues/5326#issuecomment-842692873 https://api.github.com/repos/pydata/xarray/issues/5326 MDEyOklzc3VlQ29tbWVudDg0MjY5Mjg3Mw== andersy005 13301940 2021-05-17T22:51:54Z 2021-05-17T22:51:54Z MEMBER

I expected dimension order not to matter, as it is the case in most of xarray. Right now, my code wraps func in a another function that performs this transpose when needed.

Isn't it the case the order matters here because you are providing a template for map_blocks to follow? Would your code still work if you were to leave map_blocks to do the inference of the output dataset on its own as Deepak pointed out? From the code snippet you provided, it appears that map_blocks works without the template

python In [10]: dac.map_blocks(func).load() Out[10]: <xarray.DataArray <this-array> (y: 3, x: 2)> array([[0, 3], [1, 4], [2, 5]]) Dimensions without coordinates: y, x

 
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   map_blocks doesn't handle tranposed arrays 893692903

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