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  • spencerkclark · 3 ✖

issue 1

  • Continue to use nanosecond-precision Timestamps in precision-sensitive areas · 3 ✖

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  • MEMBER · 3 ✖
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1507109914 https://github.com/pydata/xarray/pull/7731#issuecomment-1507109914 https://api.github.com/repos/pydata/xarray/issues/7731 IC_kwDOAMm_X85Z1Kwa spencerkclark 6628425 2023-04-13T14:50:15Z 2023-04-13T14:50:15Z MEMBER

Thanks for noting that @dcherian -- I think I got to all of them now.

 
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   Continue to use nanosecond-precision Timestamps in precision-sensitive areas 1657396474
1506059299 https://github.com/pydata/xarray/pull/7731#issuecomment-1506059299 https://api.github.com/repos/pydata/xarray/issues/7731 IC_kwDOAMm_X85ZxKQj spencerkclark 6628425 2023-04-12T22:42:26Z 2023-04-12T22:42:26Z MEMBER

Thanks all for the help! Fingers crossed things should be all green now. Happy to address any more review comments.

 
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   Continue to use nanosecond-precision Timestamps in precision-sensitive areas 1657396474
1499107154 https://github.com/pydata/xarray/pull/7731#issuecomment-1499107154 https://api.github.com/repos/pydata/xarray/issues/7731 IC_kwDOAMm_X85ZWo9S spencerkclark 6628425 2023-04-06T13:57:56Z 2023-04-06T13:57:56Z MEMBER

I'm fine waiting until #7724 is merged to let our main CI cover this. Indeed the upstream tests are flaky. Locally I just installed pandas 2 via pip to do testing during development. 

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   Continue to use nanosecond-precision Timestamps in precision-sensitive areas 1657396474

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