html_url,issue_url,id,node_id,user,created_at,updated_at,author_association,body,reactions,performed_via_github_app,issue
https://github.com/pydata/xarray/issues/116#issuecomment-48102231,https://api.github.com/repos/pydata/xarray/issues/116,48102231,MDEyOklzc3VlQ29tbWVudDQ4MTAyMjMx,1217238,2014-07-06T03:38:48Z,2014-07-06T03:38:48Z,MEMBER,"Closing this as ""won't fix""
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,32928338
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.
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,32928338