issue_comments: 42863294

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https://github.com/pydata/xarray/pull/125#issuecomment-42863294 https://api.github.com/repos/pydata/xarray/issues/125 42863294 MDEyOklzc3VlQ29tbWVudDQyODYzMjk0 1217238 2014-05-12T17:39:35Z 2014-05-12T17:39:35Z MEMBER

Wow, that is nasty! As you can see, we currently have a lot of awkward hacks to work around numpy's semi-broken datetime64, and it looks like this fix broke some of them -- hence the failing Travis builds.

Maybe we need some special logic in Variable.concat instead? My guess is that the trouble here is related to all these datetime64 objects (plain np.datetime64 objects, not arrays with dtype='datetime64', because 0-dimensional datetime64 arrays are broken) being put into an array directly, which at some point implicitly converts them into integers.

 
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