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dask/dataframe/tests/test_groupby.py::test_groupby_dropna_with_agg[disk]: AssertionError: MultiIndex level [0] are different
MultiIndex level [0] values are different (66.66667 %)
[left]: Index(['a', 'b', nan], dtype='object', name='id1')[right]: Index(['a', nan, 'b'], dtype='object', name='id1')
At positional index 1, first diff: b != nan
dask/dataframe/tests/test_groupby.py::test_groupby_dropna_with_agg[tasks]: AssertionError: MultiIndex level [0] are different
MultiIndex level [0] values are different (66.66667 %)
[left]: Index(['a', 'b', nan], dtype='object', name='id1')[right]: Index(['a', nan, 'b'], dtype='object', name='id1')
At positional index 1, first diff: b != nan
changed the title [-]⚠️ Upstream CI failed ⚠️[/-][+]AttributeError: 'DataFrame' object has no attribute 'append'. Did you mean: '_append'?[/+]on Dec 12, 2022
I've seen this quite a few times. It sounds like an upstream random issue in pandas although I cannot understand how you could get randomicity in it. Also worth noting that I've never seen it outside of CI.
changed the title [-]AttributeError: 'DataFrame' object has no attribute 'append'. Did you mean: '_append'?[/-][+]AttributeError: 'DataFrame' object has no attribute 'append'[/+]on Dec 12, 2022
Thanks @crusaderky. Where else have you seen this issue?
This issue is coming from our upstream CI build where we use the nightly version of pandas -- I wouldn't expect to see it without a dev version of pandas (though would be good to know if I'm wrong here)
FWIW I've pushed up a few PRs to start knocking some of these upstream compatibility issues out. @ncclementi@charlesbluca@douglasdavis@rjzamora just wanted to check in to see if you have interest / bandwidth to help get things ready for the pandas=2.0 release. Given the number of issues, a divide and conquer approach might be best 😄
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[-]⚠️ Upstream CI failed ⚠️[/-][+]AttributeError: 'DataFrame' object has no attribute 'append'. Did you mean: '_append'?[/+]crusaderky commentedon Dec 12, 2022
I've seen this quite a few times. It sounds like an upstream random issue in pandas although I cannot understand how you could get randomicity in it. Also worth noting that I've never seen it outside of CI.
[-]AttributeError: 'DataFrame' object has no attribute 'append'. Did you mean: '_append'?[/-][+]AttributeError: 'DataFrame' object has no attribute 'append'[/+][-]AttributeError: 'DataFrame' object has no attribute 'append'[/-][+]⚠️ Upstream CI failed ⚠️[/+]jrbourbeau commentedon Dec 12, 2022
Thanks @crusaderky. Where else have you seen this issue?
This issue is coming from our
upstreamCI build where we use the nightly version ofpandas-- I wouldn't expect to see it without a dev version ofpandas(though would be good to know if I'm wrong here)jrbourbeau commentedon Dec 12, 2022
FWIW I've pushed up a few PRs to start knocking some of these upstream compatibility issues out. @ncclementi @charlesbluca @douglasdavis @rjzamora just wanted to check in to see if you have interest / bandwidth to help get things ready for the
pandas=2.0release. Given the number of issues, a divide and conquer approach might be best 😄crusaderky commentedon Dec 12, 2022
Sorry, I did not pay enough attention when it happened
jrbourbeau commentedon Dec 19, 2022
Opened dask/fastparquet#832 for the
dask/dataframe/io/tests/test_parquet.py::test_categories_unnamed_index[fastparquet]failurejrbourbeau commentedon Dec 23, 2022
See zarr-developers/zarr-python#1306 for the recent
zarr-related failuresEDIT: Being fixed here zarr-developers/zarr-python#1309
j-bennet commentedon Mar 4, 2023
@jrbourbeau Upstream build is green on
main. Can we close the issue?jrbourbeau commentedon Mar 6, 2023
Woo 🎉 Thanks for all your efforts on this @j-bennet