issue_comments: 260704684

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https://github.com/pydata/xarray/issues/1121#issuecomment-260704684 https://api.github.com/repos/pydata/xarray/issues/1121 260704684 MDEyOklzc3VlQ29tbWVudDI2MDcwNDY4NA== 1310437 2016-11-15T17:15:25Z 2016-11-15T17:15:25Z CONTRIBUTOR

I think I found it (#1122). I guess whenever a non-scalar assignment is made (as in result[:] = [value]), something like np.asanyarray is performed on the new value. Luckily, numpy is perfectly happy with indexing of a 0d array with a 0d index (i.e. an empty tuple). Thinking about it, result[0] = value would probably have worked too.

 
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