issue_comments: 398592643

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https://github.com/pydata/xarray/issues/2237#issuecomment-398592643 https://api.github.com/repos/pydata/xarray/issues/2237 398592643 MDEyOklzc3VlQ29tbWVudDM5ODU5MjY0Mw== 1217238 2018-06-20T01:10:04Z 2018-06-20T01:10:04Z MEMBER

As you can see, if you concatenate together the first set of indices and index by the second set of indices, it would arrange them into sequential integers.

I'm not sure I understand this.

Maybe it helps to think about these as matrices. The nth row of indices_to_restore_orig_order pulls out elements corresponding to the nth column of list_of_group_indices.

The situation on the whole does seem sensible to me though. This starts to look a little bit like a proper shuffle situation (using dataframe terminology). Each of your 365 output partitions would presumably touch 1/12th of your input partitions, leading to a quadratic number of tasks. If after doing something you then wanted to rearrange your data back then presumably that would require an equivalent number of extra tasks.

Yes, this is definitely a shuffle.

 
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