issue_comments: 419580420

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https://github.com/pydata/xarray/issues/2399#issuecomment-419580420 https://api.github.com/repos/pydata/xarray/issues/2399 419580420 MDEyOklzc3VlQ29tbWVudDQxOTU4MDQyMA== 1217238 2018-09-07T22:15:33Z 2018-09-07T22:15:33Z MEMBER

Please take a look at xarray's detailed indexing rules: http://xarray.pydata.org/en/stable/indexing.html#indexing-rules

I will ignore the dimension names for now as I don't have much experience with xarray yet.

I think this is the crux of the problem. Put another way: why should the result of indexing be a 1x2 array instead of a 2x1 array? Currently (with the exception of indexing by a scalar with an index with duplicates), xarray determines the shape/dimensions resulting from indexing from the shape/dimensions of the indexers not the array being indexed.

 
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