issue_comments: 398580421

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https://github.com/pydata/xarray/issues/2237#issuecomment-398580421 https://api.github.com/repos/pydata/xarray/issues/2237 398580421 MDEyOklzc3VlQ29tbWVudDM5ODU4MDQyMQ== 1217238 2018-06-19T23:49:16Z 2018-06-19T23:50:12Z MEMBER

Another option would be to rewrite how xarray does groupby/transform operations to make it more dask friendly. Currently it looks roughly like: python def groupby_transform(array, list_of_group_indices, func): # create a list of sub-arrays for each group subarrays = [array[indices] for indices in list_of_group_indices] # apply the function applied = [func(x) for x for x in subarrays] # concatenate applied arrays together concatenated = np.concatenate(applied) # restore original order reordered = concatenated[indices_to_restore_orig_order] return reordered

For example, we could reverse the order of the last two steps.

 
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