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  • jsignell · 3 ✖

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  • Clarify difference between `.load()` and `.compute()` · 3 ✖

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1197325700 https://github.com/pydata/xarray/issues/6837#issuecomment-1197325700 https://api.github.com/repos/pydata/xarray/issues/6837 IC_kwDOAMm_X85HXb2E jsignell 4806877 2022-07-27T20:21:36Z 2022-07-27T20:21:36Z CONTRIBUTOR

I should say that there might very well be other uses of load that I am not aware of. The inplace vs not is just the only difference that I noticed in the context of dask-backed xarray objects.

From this discussion I think for dask-backed objects we should recommend using compute. Maybe that is enough of a decision.

 
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   Clarify difference between `.load()` and `.compute()` 1319621859
1197078424 https://github.com/pydata/xarray/issues/6837#issuecomment-1197078424 https://api.github.com/repos/pydata/xarray/issues/6837 IC_kwDOAMm_X85HWfeY jsignell 4806877 2022-07-27T17:27:43Z 2022-07-27T17:27:43Z CONTRIBUTOR

I can imagine a scenario where load is de-emphasized in the narrative docs, and compute is used instead. It wouldn't have to be a formal deprecation, but it could be that compute is best practice.

 
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   Clarify difference between `.load()` and `.compute()` 1319621859
1196874535 https://github.com/pydata/xarray/issues/6837#issuecomment-1196874535 https://api.github.com/repos/pydata/xarray/issues/6837 IC_kwDOAMm_X85HVtsn jsignell 4806877 2022-07-27T15:00:43Z 2022-07-27T15:00:43Z CONTRIBUTOR

Thanks for engaging with this! I think removing load probably makes the most sense. Making load an alias for compute would just continue the confusion since there wouldn't be a clear right way to do things.

I somehow assumed compute would only work with dask while load would also load our lazy array implementation into memory. Not sure how I got that impression, but maybe that's another argument to remove / align load?

I'm not quite sure I follow. Are there lazy array implementations other than dask in xarray?

 
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   Clarify difference between `.load()` and `.compute()` 1319621859

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