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@jorisvandenbossche jorisvandenbossche commented Oct 19, 2022

Pandas 2.0+ will now preserve the unit of a timedelta64/datetime64 numpy array that is passed to a DataFrame constructor, instead of always coercing to nanoseconds. But pyarrow will still use nanoseconds in the conversion to pandas, giving data type mismatches in the tests. For now, ensuring we always create pandas.DataFrames with datetime64[ns] across pandas versions. Longer term solution is ARROW-18124

@jorisvandenbossche jorisvandenbossche marked this pull request as ready for review October 19, 2022 15:34
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@github-actions crossbow submit test-conda-python-3.8-pandas-nightly test-conda-python-3.9-pandas-master

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Revision: ef43a9d

Submitted crossbow builds: ursacomputing/crossbow @ actions-230243410b

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@github-actions crossbow submit test-conda-python-3.8-pandas-nightly test-conda-python-3.9-pandas-master

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Revision: 5cdcc13

Submitted crossbow builds: ursacomputing/crossbow @ actions-63a94b1b9c

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@github-actions crossbow submit test-conda-python-3.8-pandas-nightly test-conda-python-3.9-pandas-master

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Revision: ea80943

Submitted crossbow builds: ursacomputing/crossbow @ actions-1a8bc544ea

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