jorisvandenbossche opened a new issue, #51301:
URL: https://github.com/apache/arrow/issues/51301

   Some of the warnings I am seeing (from 
https://github.com/ursacomputing/crossbow/actions/runs/34548523730/job/103106277981):
   
   ```
   
opt/conda/envs/arrow/lib/python3.14/site-packages/pyarrow/tests/test_array.py::test_array_from_timestamp_with_generic_unit
     
/opt/conda/envs/arrow/lib/python3.14/site-packages/pyarrow/tests/test_array.py:2682:
 DeprecationWarning: The 'generic' unit for NumPy timedelta is deprecated, and 
will raise an error in the future. This includes implicit conversion of bare 
integers (e.g. `+ 1`). Please use a specific unit instead.
       n = np.datetime64('NaT')
   
   
opt/conda/envs/arrow/lib/python3.14/site-packages/pyarrow/tests/test_array.py::test_array_from_numpy_timedelta_incorrect_unit
     
/opt/conda/envs/arrow/lib/python3.14/site-packages/pyarrow/tests/test_array.py:2723:
 DeprecationWarning: The 'generic' unit for NumPy timedelta is deprecated, and 
will raise an error in the future. This includes implicit conversion of bare 
integers (e.g. `+ 1`). Please use a specific unit instead.
       td = np.timedelta64(1)
   
   
opt/conda/envs/arrow/lib/python3.14/site-packages/pyarrow/tests/test_compute.py::test_extract_datetime_components
   
opt/conda/envs/arrow/lib/python3.14/site-packages/pyarrow/tests/test_compute.py::test_extract_datetime_components
   
opt/conda/envs/arrow/lib/python3.14/site-packages/pyarrow/tests/test_compute.py::test_extract_datetime_components
   
opt/conda/envs/arrow/lib/python3.14/site-packages/pyarrow/tests/test_compute.py::test_extract_datetime_components
   
opt/conda/envs/arrow/lib/python3.14/site-packages/pyarrow/tests/test_compute.py::test_extract_datetime_components
   
opt/conda/envs/arrow/lib/python3.14/site-packages/pyarrow/tests/test_compute.py::test_extract_datetime_components
   
opt/conda/envs/arrow/lib/python3.14/site-packages/pyarrow/tests/test_compute.py::test_extract_datetime_components
     
/opt/conda/envs/arrow/lib/python3.14/site-packages/pyarrow/tests/test_compute.py:2648:
 Pandas4Warning: DatetimeIndex.dayofweek is deprecated and will be removed in a 
future version. Use DatetimeIndex.day_of_week instead.
       dayofweek = ts.dt.dayofweek.astype("int64")
   
   
opt/conda/envs/arrow/lib/python3.14/site-packages/pyarrow/tests/test_compute.py::test_extract_datetime_components
   
opt/conda/envs/arrow/lib/python3.14/site-packages/pyarrow/tests/test_compute.py::test_extract_datetime_components
   
opt/conda/envs/arrow/lib/python3.14/site-packages/pyarrow/tests/test_compute.py::test_extract_datetime_components
   
opt/conda/envs/arrow/lib/python3.14/site-packages/pyarrow/tests/test_compute.py::test_extract_datetime_components
   
opt/conda/envs/arrow/lib/python3.14/site-packages/pyarrow/tests/test_compute.py::test_extract_datetime_components
   
opt/conda/envs/arrow/lib/python3.14/site-packages/pyarrow/tests/test_compute.py::test_extract_datetime_components
   
opt/conda/envs/arrow/lib/python3.14/site-packages/pyarrow/tests/test_compute.py::test_extract_datetime_components
     
/opt/conda/envs/arrow/lib/python3.14/site-packages/pyarrow/tests/test_compute.py:2649:
 Pandas4Warning: DatetimeIndex.dayofyear is deprecated and will be removed in a 
future version. Use DatetimeIndex.day_of_year instead.
       dayofyear = ts.dt.dayofyear.astype("int64")
   
   
opt/conda/envs/arrow/lib/python3.14/site-packages/pyarrow/tests/test_compute.py::test_round_temporal[nanosecond]
   
opt/conda/envs/arrow/lib/python3.14/site-packages/pyarrow/tests/test_compute.py::test_round_temporal[microsecond]
   
opt/conda/envs/arrow/lib/python3.14/site-packages/pyarrow/tests/test_compute.py::test_round_temporal[millisecond]
   
opt/conda/envs/arrow/lib/python3.14/site-packages/pyarrow/tests/test_compute.py::test_round_temporal[second]
   
opt/conda/envs/arrow/lib/python3.14/site-packages/pyarrow/tests/test_compute.py::test_round_temporal[minute]
   
opt/conda/envs/arrow/lib/python3.14/site-packages/pyarrow/tests/test_compute.py::test_round_temporal[hour]
   
opt/conda/envs/arrow/lib/python3.14/site-packages/pyarrow/tests/test_compute.py::test_round_temporal[day]
     
/opt/conda/envs/arrow/lib/python3.14/site-packages/pyarrow/tests/test_compute.py:2972:
 UserWarning: The 'unit' keyword is only used when the Timestamp input is an 
integer or float, not str. To specify the storage unit of the output use 
`ts.as_unit(unit)`
       ts = pd.Series([pd.Timestamp(x, unit="ns") for x in timestamps])
   
   
opt/conda/envs/arrow/lib/python3.14/site-packages/pyarrow/tests/test_dataset.py::test_make_fragment
     
/opt/conda/envs/arrow/lib/python3.14/site-packages/pyarrow/tests/test_dataset.py:243:
 Pandas4Warning: DatetimeIndex.dayofweek is deprecated and will be removed in a 
future version. Use DatetimeIndex.day_of_week instead.
       for part, chunk in df_b.groupby([df_b.date.dt.dayofweek, df_b.color]):
   
   
opt/conda/envs/arrow/lib/python3.14/site-packages/pyarrow/tests/test_dlpack.py::test_dlpack_legacy_capsule_immutable_tensor[None]
   
opt/conda/envs/arrow/lib/python3.14/site-packages/pyarrow/tests/test_dlpack.py::test_dlpack_legacy_capsule_immutable_tensor[max_version1]
     
/opt/conda/envs/arrow/lib/python3.14/site-packages/pyarrow/tests/test_dlpack.py:78:
 DeprecationWarning: Exporting an unversioned DLPack capsule is deprecated, 
pass max_version=(1, 0) or higher.
       return f(*args, **kwargs)
   
   
opt/conda/envs/arrow/lib/python3.14/site-packages/pyarrow/tests/test_dlpack.py::test_dlpack_versioned_roundtrip[array]
   
opt/conda/envs/arrow/lib/python3.14/site-packages/pyarrow/tests/test_dlpack.py::test_dlpack_versioned_roundtrip[sliced_array]
   
opt/conda/envs/arrow/lib/python3.14/site-packages/pyarrow/tests/test_dlpack.py::test_dlpack_versioned_roundtrip[empty_array]
   
opt/conda/envs/arrow/lib/python3.14/site-packages/pyarrow/tests/test_dlpack.py::test_dlpack_versioned_roundtrip[tensor]
     
/opt/conda/envs/arrow/lib/python3.14/site-packages/pyarrow/tests/test_dlpack.py:310:
 DeprecationWarning: Exporting an unversioned DLPack capsule is deprecated, 
pass max_version=(1, 0) or higher.
       expected = np.from_dlpack(DLPackForwarder(obj, max_version=None))
   
   
opt/conda/envs/arrow/lib/python3.14/site-packages/pyarrow/tests/test_dlpack.py::test_dlpack_not_supported
     /opt/conda/envs/arrow/lib/python3.14/site-packages/_pytest/python.py:167: 
DeprecationWarning: Exporting an unversioned DLPack capsule is deprecated, pass 
max_version=(1, 0) or higher.
       result = testfunction(**testargs)
   
   
opt/conda/envs/arrow/lib/python3.14/site-packages/pyarrow/tests/test_pandas.py::TestConvertMetadata::test_column_index_names_datetime[None]
   
opt/conda/envs/arrow/lib/python3.14/site-packages/pyarrow/tests/test_pandas.py::TestConvertMetadata::test_column_index_names_datetime[Europe/Brussels]
     
/opt/conda/envs/arrow/lib/python3.14/site-packages/pyarrow/tests/test_pandas.py:126:
 Pandas4Warning: assert_index_equal will check the 'freq' attribute by default 
in a future version; these freqs None and <50 * Days> do not match. Pass 
check_freq=True or check_freq=False to silence this warning
       tm.assert_frame_equal(result, expected, check_dtype=check_dtype,
   
   
opt/conda/envs/arrow/lib/python3.14/site-packages/pyarrow/tests/test_pandas.py::test_does_not_mutate_timedelta_dtype
     
/opt/conda/envs/arrow/lib/python3.14/site-packages/pyarrow/tests/test_pandas.py:5009:
 DeprecationWarning: The 'generic' unit for NumPy timedelta is deprecated, and 
will raise an error in the future. Please use a specific unit instead.
       df = pd.DataFrame({"a": [np.timedelta64()]})
   ```
   
   There are some other warnings related to _"Series.values returning an 
ndarray that drops timezone information for DatetimeTZDtype is deprecated ..."_ 
(and similar), but that actually requires a code change and not just a test 
update, so will open a separate issue for that.
   


-- 
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.

To unsubscribe, e-mail: [email protected]

For queries about this service, please contact Infrastructure at:
[email protected]

Reply via email to