issue_comments: 270427209

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https://github.com/pydata/xarray/issues/1192#issuecomment-270427209 https://api.github.com/repos/pydata/xarray/issues/1192 270427209 MDEyOklzc3VlQ29tbWVudDI3MDQyNzIwOQ== 1217238 2017-01-04T17:12:04Z 2017-01-04T17:12:15Z MEMBER

This has the feel of a multi-dimensional resampling operation operation. I could potentially see this as part of that interface (e.g., array.resample(x=3, y=3).mean()), but that may be a slightly different operations because resample's window size is in label rather than integer coordinates.

That said, this seems useful and I wouldn't get too hung up about the optimal interface. I would be happy with a coarsen method, though I'd prefer to have an non-dask implementation, too. Potentially we could simply copy in skimage's block_reduce function for the non-dask implementation, which if I recall correctly does some clever tricks with reshaping to do the calculation efficiently.

cc @jhamman who has been thinking about regridding/resampling.

 
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