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  • Fix precision drop when indexing a datetime64 arrays. · 2 ✖

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368703112 https://github.com/pydata/xarray/pull/1942#issuecomment-368703112 https://api.github.com/repos/pydata/xarray/issues/1942 MDEyOklzc3VlQ29tbWVudDM2ODcwMzExMg== fujiisoup 6815844 2018-02-27T00:36:14Z 2018-02-27T00:36:14Z MEMBER

It looks that numpy fails to cast pd.Timestamp to np.datetime64[ns]. But I am not sure it is an expected behavior.

I added a link to numpy's issue.

 
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   Fix precision drop when indexing a datetime64 arrays. 300268334
368681609 https://github.com/pydata/xarray/pull/1942#issuecomment-368681609 https://api.github.com/repos/pydata/xarray/issues/1942 MDEyOklzc3VlQ29tbWVudDM2ODY4MTYwOQ== shoyer 1217238 2018-02-26T22:58:33Z 2018-02-26T22:58:33Z MEMBER

Were you able to identify the underlying issue? This feels like something that might likely be a bug in pandas or numpy.

 
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   Fix precision drop when indexing a datetime64 arrays. 300268334

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