issue_comments: 734951187

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https://github.com/pydata/xarray/issues/4045#issuecomment-734951187 https://api.github.com/repos/pydata/xarray/issues/4045 734951187 MDEyOklzc3VlQ29tbWVudDczNDk1MTE4Nw== 2418513 2020-11-27T18:47:26Z 2020-11-27T18:51:00Z NONE

Just stumbled upon this as well. Internally, datetime64[ns] is simply an 8-byte int. Why on earth would it be serialized in a lossy way as a float64?...

Simply telling it to encoding={...: {'dtype': 'int64'}} won't work since then it complains about serializing float as an int.

Is there a way out of this, other than not using M8[ns] dtypes at all with xarray?

This is a huge issue, as anyone using nanosecond-precision timestamps with xarray would unknowingly and silently read wrong data after deserializing.

 
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