BUG: Writing UUIDs fail

[torchss]

Pandas version checks

• I have checked that this issue has not already been reported.

• I have confirmed this bug exists on the latest version of pandas.

• I have confirmed this bug exists on the main branch of pandas.

Reproducible Example

>>> df = pd.DataFrame({'id': [uuid.uuid4(), uuid.uuid4(), uuid.uuid4()]})
>>> df
                                     id
0  6f6303cd-516d-4a27-9165-bb703f9e2240
1  c250ba7f-31db-47de-b02b-54296ac6a4df
2  c523257a-51ab-4160-957b-619ce55c78f9
>>> df.to_parquet('sample_pandas_pa.parquet', engine='pyarrow')
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File ".venv/lib/python3.12/site-packages/pandas/util/_decorators.py", line 333, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File ".venv/lib/python3.12/site-packages/pandas/core/frame.py", line 3113, in to_parquet
    return to_parquet(
           ^^^^^^^^^^^
  File ".venv/lib/python3.12/site-packages/pandas/io/parquet.py", line 480, in to_parquet
    impl.write(
  File ".venv/lib/python3.12/site-packages/pandas/io/parquet.py", line 190, in write
    table = self.api.Table.from_pandas(df, **from_pandas_kwargs)
            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "pyarrow/table.pxi", line 4793, in pyarrow.lib.Table.from_pandas
  File ".venv/lib/python3.12/site-packages/pyarrow/pandas_compat.py", line 639, in dataframe_to_arrays
    arrays = [convert_column(c, f)
              ^^^^^^^^^^^^^^^^^^^^
  File ".venv/lib/python3.12/site-packages/pyarrow/pandas_compat.py", line 626, in convert_column
    raise e
  File ".venv/lib/python3.12/site-packages/pyarrow/pandas_compat.py", line 620, in convert_column
    result = pa.array(col, type=type_, from_pandas=True, safe=safe)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "pyarrow/array.pxi", line 365, in pyarrow.lib.array
  File "pyarrow/array.pxi", line 90, in pyarrow.lib._ndarray_to_array
  File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
pyarrow.lib.ArrowInvalid: ("Could not convert UUID('6f6303cd-516d-4a27-9165-bb703f9e2240') with type UUID: did not recognize Python value type when inferring an Arrow data type", 'Conversion failed for column id with type object')

Issue Description

Writing UUIDs fail. pyarrow supports writing UUIDs

Expected Behavior

Writing UUIDs pass

Installed Versions

INSTALLED VERSIONS

commit : 0691c5c
python : 3.12.9
python-bits : 64
OS : Linux
OS-release : 6.8.0-57-generic
Version : #59~22.04.1-Ubuntu SMP PREEMPT_DYNAMIC Wed Mar 19 17:07:41 UTC 2
machine : x86_64
processor : x86_64
byteorder : little
LC_ALL : None
LANG : en_US.UTF-8
LOCALE : en_US.UTF-8

pandas : 2.2.3
numpy : 2.2.6
pytz : 2025.2
dateutil : 2.9.0.post0
pip : None
Cython : None
sphinx : None
IPython : None
adbc-driver-postgresql: None
adbc-driver-sqlite : None
bs4 : None
blosc : None
bottleneck : None
dataframe-api-compat : None
fastparquet : None
fsspec : 2025.5.1
html5lib : None
hypothesis : None
gcsfs : None
jinja2 : None
lxml.etree : None
matplotlib : None
numba : None
numexpr : None
odfpy : None
openpyxl : None
pandas_gbq : None
psycopg2 : None
pymysql : None
pyarrow : 20.0.0
pyreadstat : None
pytest : None
python-calamine : None
pyxlsb : None
s3fs : None
scipy : 1.15.3
sqlalchemy : None
tables : None
tabulate : None
xarray : None
xlrd : None
xlsxwriter : None
zstandard : None
tzdata : 2025.2
qtpy : None
pyqt5 : None

[DevastatingRPG]

#After review, this seems to be an issue with PyArrow not Pandas
Specifically the convert_columns in from_pandas function of PyArrow as it is not able to work with the UUID library's UUID datatype.

import uuid
import pandas as pd
import pyarrow as pa

df = pd.DataFrame({'id': [uuid.uuid4(), uuid.uuid4(), uuid.uuid4()]})

new_df = pa.Table.from_pandas(df)

Even the above code gives the same error

A temporary workaround is to use the bytes data type before saving to parquet

import uuid
import pandas as pd

df = pd.DataFrame({'id': [uuid.uuid4(), uuid.uuid4(), uuid.uuid4()]})

# Convert UUIDs to bytes for Arrow compatibility
df['id'] = df['id'].apply(lambda x: x.bytes)

df.to_parquet('sample_pandas_pa.parquet', engine='pyarrow')

The above code produces no error and saves the file successfully

Of course we can implement it on our side in to_parquet function but seems like a fix is needed on their side. Can we get a comment from the Maintainers to see how to proceed?