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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.
>>> 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')
Writing UUIDs fail. pyarrow supports writing UUIDs
Writing UUIDs pass
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
The text was updated successfully, but these errors were encountered:
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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
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
The text was updated successfully, but these errors were encountered: