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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 |
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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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