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  • shoyer · 1 ✖

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  • BUG: not converting datetime64[ns] with tz from pandas.Series · 1 ✖

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  • MEMBER · 1 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
168588381 https://github.com/pydata/xarray/issues/701#issuecomment-168588381 https://api.github.com/repos/pydata/xarray/issues/701 MDEyOklzc3VlQ29tbWVudDE2ODU4ODM4MQ== shoyer 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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   BUG: not converting datetime64[ns] with tz from pandas.Series 124685682

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