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  • khider · 4 ✖

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  • Interoperability with Pandas 2.0 non-nanosecond datetime 4

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id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
1412559309 https://github.com/pydata/xarray/issues/7493#issuecomment-1412559309 https://api.github.com/repos/pydata/xarray/issues/7493 IC_kwDOAMm_X85UMfHN khider 11758571 2023-02-01T18:56:32Z 2023-02-01T18:56:32Z NONE

Thank you!

The second point that you raise is what we are concerned about right now as well. So maybe it would be good to try to resolve it. How do you deal with PMIP simulations in terms of calendar?

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  Interoperability with Pandas 2.0 non-nanosecond datetime 1563104480
1412257506 https://github.com/pydata/xarray/issues/7493#issuecomment-1412257506 https://api.github.com/repos/pydata/xarray/issues/7493 IC_kwDOAMm_X85ULVbi khider 11758571 2023-02-01T15:32:08Z 2023-02-01T15:32:08Z NONE

I can attend it too. 8:30am PST, correct?

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  Interoperability with Pandas 2.0 non-nanosecond datetime 1563104480
1411247744 https://github.com/pydata/xarray/issues/7493#issuecomment-1411247744 https://api.github.com/repos/pydata/xarray/issues/7493 IC_kwDOAMm_X85UHe6A khider 11758571 2023-02-01T00:10:09Z 2023-02-01T00:10:09Z NONE

I might need some help with the xarray codebase. I use it quite often but never had to dig into its guts.

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  Interoperability with Pandas 2.0 non-nanosecond datetime 1563104480
1409698262 https://github.com/pydata/xarray/issues/7493#issuecomment-1409698262 https://api.github.com/repos/pydata/xarray/issues/7493 IC_kwDOAMm_X85UBknW khider 11758571 2023-01-31T03:29:21Z 2023-01-31T03:29:21Z NONE

Hi all,

Thank you for looking into this. I was very excited when the array was created from my non-nanosecond datetime index but I couldn't do much manipulations beyond creation.

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  Interoperability with Pandas 2.0 non-nanosecond datetime 1563104480

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