issue_comments: 628070696

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https://github.com/pydata/xarray/issues/1815#issuecomment-628070696 https://api.github.com/repos/pydata/xarray/issues/1815 628070696 MDEyOklzc3VlQ29tbWVudDYyODA3MDY5Ng== 8881170 2020-05-13T15:33:56Z 2020-05-13T15:33:56Z CONTRIBUTOR

One issue I see is that this would return multiple dask objects, correct? So to get the results from them, you'd have to run .compute() on each separately. I think it's a valid assumption to expect that the multiple output objects would share a lot of the same computational pipeline. So would you be re-doing the same computation by running .compute() separately on these objects?

The earlier mentioned code snippets provide a nice path forward, since you can just run compute on one object, and then split its result (or however you name it) dimension into multiple individual objects. Thoughts?

 
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