issue_comments: 406128252

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https://github.com/pydata/xarray/issues/2298#issuecomment-406128252 https://api.github.com/repos/pydata/xarray/issues/2298 406128252 MDEyOklzc3VlQ29tbWVudDQwNjEyODI1Mg== 6815844 2018-07-19T01:47:36Z 2018-07-19T01:47:36Z MEMBER

Thanks, @shoyer

we have enough related functionality (e.g., for lazy and explicit indexing)

Agreed. Actually, it sounds very fun to code the lazy arithmetics.

Ideally, this logic would live outside xarray.

Yes, I concerned about this. We have discussed to support more kinds of array-likes (e.g. dask, sparse, cupy) in #1938, and I thought the lazy array can be (ideally) one of them.

But in practice, it should take a long time to realize the any-array-like support and it might be a good idea to natively support the lazy mathematics for now. If we are heading to any-array-like support, I think that the implementation of the lazy array should be as isolated from xarray core logic as possible so that we can move smoothly to the any-array-like support in the future.

Therefore, personally, I'd like to see this lazy math by implementing a lazy array. The API I thought of is .to_lazy() which converts the backend to the lazy array, as similar to that .chunk() converts the backend to dask array.

 
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