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/1262#issuecomment-279861287,https://api.github.com/repos/pydata/xarray/issues/1262,279861287,MDEyOklzc3VlQ29tbWVudDI3OTg2MTI4Nw==,5356122,2017-02-14T22:47:28Z,2017-02-14T22:47:28Z,MEMBER,"Other datatypes would be extremely useful. But I think it would be better to start as a separate project and build some confidence in a system first.

@MaximilianR I was just typing nearly the same thing... :+1:

> we might consider lightly wrapping NumPy arrays in a new object that also includes extra dtype information

Pandas seems to be moving away from this approach now.

Any other existing alternatives? [datashape](http://datashape.pydata.org/index.html)?

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