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skip the pandas datetime roundtrip test with pandas=3.0 - #9104
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dcherian added a commit
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Jun 13, 2024
* upstream/main: [skip-ci] Try fixing hypothesis CI trigger (pydata#9112) Undo custom padding-top. (pydata#9107) add remaining core-dev citations [skip-ci][skip-rtd] (pydata#9110) Add user survey announcement to docs (pydata#9101) skip the `pandas` datetime roundtrip test with `pandas=3.0` (pydata#9104) Adds Matt Savoie to CITATION.cff (pydata#9103) [skip-ci] Fix skip-ci for hypothesis (pydata#9102) open_datatree performance improvement on NetCDF, H5, and Zarr files (pydata#9014) Migrate datatree io.py and common.py into xarray/core (pydata#9011) Micro optimizations to improve indexing (pydata#9002) (fix): don't handle time-dtypes as extension arrays in `from_dataframe` (pydata#9042)
dcherian added a commit
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Jun 13, 2024
* main: new whats-new section (pydata#9115) release v2024.06.0 (pydata#9113) release notes for 2024.06.0 (pydata#9092) [skip-ci] Try fixing hypothesis CI trigger (pydata#9112) Undo custom padding-top. (pydata#9107) add remaining core-dev citations [skip-ci][skip-rtd] (pydata#9110) Add user survey announcement to docs (pydata#9101) skip the `pandas` datetime roundtrip test with `pandas=3.0` (pydata#9104) Adds Matt Savoie to CITATION.cff (pydata#9103) [skip-ci] Fix skip-ci for hypothesis (pydata#9102) open_datatree performance improvement on NetCDF, H5, and Zarr files (pydata#9014)
andersy005 pushed a commit
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Jun 14, 2024
* skip the roundtrip test with `pandas=3.0` * mention the relevant issue in the skip reason
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This works around #9098: the issue seems to be wrong expectations, the result looks correct. I briefly tried fixing it but couldn't figure out how to, so in the interest of getting the release out I'm skipping the test for
pandas>=3.0.