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https://github.com/pydata/xarray/issues/1192#issuecomment-270439515 https://api.github.com/repos/pydata/xarray/issues/1192 270439515 MDEyOklzc3VlQ29tbWVudDI3MDQzOTUxNQ== 3217406 2017-01-04T17:59:08Z 2017-01-04T17:59:08Z CONTRIBUTOR

The dask implementation has the following API: dask.array.coarsen(reduction, x, axes, trim_excess=False) so a proposed xarray API could look like: xarray.coarsen(reduction, x, axes, chunks=None, trim_excess=False), resulting in the following implementation: 1. If the underlying data to x is dask.array, yields x.chunks(chunks).array.coarsen(reduction, axes, trim_excess) 2. Else, copy the block_reduce function.

Does that fit with the xarray API?

 
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