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Posted to issues@arrow.apache.org by GitBox <gi...@apache.org> on 2023/01/16 13:05:14 UTC

[GitHub] [arrow] raulcd opened a new issue, #33696: [CI][Python] Nightlies pandas jobs with pandas nightly and upstream_devel are currently failing

raulcd opened a new issue, #33696:
URL: https://github.com/apache/arrow/issues/33696

   ### Describe the bug, including details regarding any error messages, version, and platform.
   
   This jobs seems to have been failing for around 3 weeks now:
   [test-conda-python-3.8-pandas-nightly](https://github.com/ursacomputing/crossbow/actions/runs/3926040360/jobs/6711396548)
   [test-conda-python-3.9-pandas-upstream_devel](https://github.com/ursacomputing/crossbow/actions/runs/3926045111/jobs/6711405287)
   There's a single error for pandas nightly but 5 errors for upstream_devel. Copying an example of error for the pandas nightly:
   ```
    =================================== FAILURES ===================================
   ________________________________ test_timestamp ________________________________
   
       @pytest.mark.pandas
       def test_timestamp():
           import pandas as pd
           arr = pd.date_range('2000-01-01 12:34:56', periods=10).values
       
           units = ['ns', 'us', 'ms', 's']
       
           for i, unit in enumerate(units):
               dtype = 'datetime64[{}]'.format(unit)
               arrow_arr = pa.Array.from_pandas(arr.astype(dtype))
               expected = pd.Timestamp('2000-01-01 12:34:56')
       
               assert arrow_arr[0].as_py() == expected
   >           assert arrow_arr[0].value * 1000**i == expected.value
   E           AssertionError: assert (946730096000000000 * (1000 ** 0)) == 946730096
   E            +  where 946730096000000000 = <pyarrow.TimestampScalar: Timestamp('2000-01-01 12:34:56')>.value
   E            +  and   946730096 = Timestamp('2000-01-01 12:34:56').value
   
   opt/conda/envs/arrow/lib/python3.8/site-packages/pyarrow/tests/test_scalars.py:311: AssertionError
   ```
   
   ### Component(s)
   
   Continuous Integration, Python


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[GitHub] [arrow] raulcd closed issue #33696: [CI][Python] Nightlies pandas jobs with pandas nightly and upstream_devel are currently failing

Posted by "raulcd (via GitHub)" <gi...@apache.org>.
raulcd closed issue #33696: [CI][Python] Nightlies pandas jobs with pandas nightly and upstream_devel are currently failing
URL: https://github.com/apache/arrow/issues/33696


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[GitHub] [arrow] raulcd commented on issue #33696: [CI][Python] Nightlies pandas jobs with pandas nightly and upstream_devel are currently failing

Posted by "raulcd (via GitHub)" <gi...@apache.org>.
raulcd commented on issue #33696:
URL: https://github.com/apache/arrow/issues/33696#issuecomment-1623627636

   @jorisvandenbossche I am closing this one as this doesn't seem to be happening anymore. Let me know though if there is something else to do on our side.


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[GitHub] [arrow] raulcd commented on issue #33696: [CI][Python] Nightlies pandas jobs with pandas nightly and upstream_devel are currently failing

Posted by GitBox <gi...@apache.org>.
raulcd commented on issue #33696:
URL: https://github.com/apache/arrow/issues/33696#issuecomment-1384028458

   @jorisvandenbossche  do you think this should be fixed for the release?


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[GitHub] [arrow] jorisvandenbossche commented on issue #33696: [CI][Python] Nightlies pandas jobs with pandas nightly and upstream_devel are currently failing

Posted by "jorisvandenbossche (via GitHub)" <gi...@apache.org>.
jorisvandenbossche commented on issue #33696:
URL: https://github.com/apache/arrow/issues/33696#issuecomment-1623723885

   This was indeed changed back on the pandas side.


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[GitHub] [arrow] jorisvandenbossche commented on issue #33696: [CI][Python] Nightlies pandas jobs with pandas nightly and upstream_devel are currently failing

Posted by GitBox <gi...@apache.org>.
jorisvandenbossche commented on issue #33696:
URL: https://github.com/apache/arrow/issues/33696#issuecomment-1384184728

   This is being discussed on the pandas side, and most likely this change will be reverted in pandas, so we don't have to do something release critical. 
   (although it would still be good to fix the test to get the nightly build passing; I can look into that tomorrow)


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