issue_comments: 337387398

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https://github.com/pydata/xarray/issues/1635#issuecomment-337387398 https://api.github.com/repos/pydata/xarray/issues/1635 337387398 MDEyOklzc3VlQ29tbWVudDMzNzM4NzM5OA== 1217238 2017-10-17T22:04:26Z 2017-10-17T22:19:51Z MEMBER

It seems like another reasonable choice would be for DataArray.argsort() to keep its current value but drop coordinate labels along the sorting dimension. This would give a consistent result for use with broadcasting indexing (https://github.com/pydata/xarray/pull/1473).

I think this internal utility function is equivalent to your second argsort: https://github.com/pydata/xarray/blob/2949558b75a65404a500a237ec54834fd6946d07/xarray/core/nputils.py#L38-L55

In practice, we might use bottleneck.rankdata() or nanrankdata(): https://kwgoodman.github.io/bottleneck-doc/reference.html#non-reduce-with-axis

 
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