issue_comments: 42633675

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https://github.com/pydata/xarray/issues/116#issuecomment-42633675 https://api.github.com/repos/pydata/xarray/issues/116 42633675 MDEyOklzc3VlQ29tbWVudDQyNjMzNjc1 1217238 2014-05-09T05:01:38Z 2014-05-09T05:02:16Z MEMBER

As I think more about this one, I'm questioning the value of allowing for unnamed dimensions, as opposed to simply defaulting to dimension names like "dim_0", "dim_1", etc.

In particular, unnamed dimensions are not very useful on object which use indices for alignment. To do sensible numpy like broadcasting, you need to be able to insert size 1 dimensions. But since we always have tick labels, we can't automatically expand those size 1 dimensions to the size of the dimension in the other array.

I suppose we could also make tick labels optional, which would make reshape operations or np.newaxis sensible. But I think I would rather still default to np.arange(size) like pandas.

 
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