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/701#issuecomment-168730777,https://api.github.com/repos/pydata/xarray/issues/701,168730777,MDEyOklzc3VlQ29tbWVudDE2ODczMDc3Nw==,5635139,2016-01-04T16:48:44Z,2016-01-04T16:48:44Z,MEMBER,"@jreback
> Yeah if you store things as Index objects, then this would go away.
@shoyer remains unconvinced, and I defer to him without reservation - but if you think this would make sense, say so
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,124685682
https://github.com/pydata/xarray/issues/701#issuecomment-168675157,https://api.github.com/repos/pydata/xarray/issues/701,168675157,MDEyOklzc3VlQ29tbWVudDE2ODY3NTE1Nw==,953992,2016-01-04T13:21:16Z,2016-01-04T13:21:16Z,MEMBER,"yeh, this is fine. maybe just note which dtypes are lossless and which are not. Yeah if you store things as `Index` objects, then this would go away.
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,124685682
https://github.com/pydata/xarray/issues/701#issuecomment-168588381,https://api.github.com/repos/pydata/xarray/issues/701,168588381,MDEyOklzc3VlQ29tbWVudDE2ODU4ODM4MQ==,1217238,2016-01-04T05:54:25Z,2016-01-04T05:54:25Z,MEMBER,"This is difficult to do properly, because xray uses numpy or dask.array to store array data, and datetime64 with a timezone is not a real numpy dtype.
I guess the right solution (similar to what I did for PeriodIndex in #692) would be to convert to dtype=object when necessary. Is there an easy way to get this from pandas?
Although, I do think it's pretty consistent that we use the result of `np.asarray(s)` as the values in xray. The timezone info is thrown away when you call this.
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