issue_comments: 168588381

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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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