issue_comments: 1409661324

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https://github.com/pydata/xarray/issues/7493#issuecomment-1409661324 https://api.github.com/repos/pydata/xarray/issues/7493 1409661324 IC_kwDOAMm_X85UBbmM 6628425 2023-01-31T02:44:22Z 2023-01-31T02:44:22Z MEMBER

Thanks for posting this general issue @khider. This is something that has been on my radar for several months and I'm on board with it being great to support (eventually this will likely help cftime support as well).

I might hesitate to say that I'm actively working on it yet 😬. Right now, in the time I have available, I'm mostly trying to make sure that xarray's existing functionality does not break under pandas 2.0. Once things are a little more stable in pandas with regard to this new feature my plan is to take a deeper dive into what it will take to adopt in xarray (some aspects might need to be handled delicately). We can plan on using this issue for more discussion.

As @keewis notes, xarray currently will cast any non-nanosecond precision datetime64 or timedelta64 values that are introduced to nanosecond-precision versions. This casting machinery goes through pandas, however, and I haven't looked carefully into how this is behaving/is expected to behave under pandas 2.0. @khider based on your nice example it seems that it is possible for non-nanosecond-precision values to slip through, which is something we may need to think about addressing for the time being.

 
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