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https://issues.apache.org/jira/browse/ARROW-11147?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17259856#comment-17259856
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Joris Van den Bossche commented on ARROW-11147:
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Maybe just pin to 0.25.3 for both master/latest, so the "if" check can be
removed. And then afterwards we can update it to just use the latest pandas
(because I assume the pin to 0.25.3 is no longer needed for the reasons stated
there: "The Spark tests currently break with pandas >= 1.0", I would assume
this is fixed by now)
> Parquet tests failing in nightly build with Dask master
> -------------------------------------------------------
>
> Key: ARROW-11147
> URL: https://issues.apache.org/jira/browse/ARROW-11147
> Project: Apache Arrow
> Issue Type: Bug
> Reporter: Andrew Wieteska
> Priority: Major
>
>
> || ||
> |
> FAILED
> opt/conda/envs/arrow/lib/python3.8/site-packages/dask/dataframe/io/tests/test_parquet.py::test_categorical[pyarrow-dataset-pyarrow-legacy]
>
> FAILED
> opt/conda/envs/arrow/lib/python3.8/site-packages/dask/dataframe/io/tests/test_parquet.py::test_categorical[pyarrow-legacy-pyarrow-dataset]
>
> FAILED
> opt/conda/envs/arrow/lib/python3.8/site-packages/dask/dataframe/io/tests/test_parquet.py::test_categorical[pyarrow-legacy-pyarrow-legacy]
> FAILED
> opt/conda/envs/arrow/lib/python3.8/site-packages/dask/dataframe/io/tests/test_parquet.py::test_categorical[pyarrow-dataset-pyarrow-dataset]
> = 4 failed, 365 passed, 290 skipped, 18 deselected, 2 xfailed, 25 warnings in
> 43.84s |
> cc [~jorisvandenbossche]
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