Pandas version checks
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[x] I have checked that this issue has not already been reported.
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[x] I have confirmed this bug exists on the latest version of pandas.
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[ ] I have confirmed this bug exists on the main branch of pandas.
Reproducible Example
all(pd.Series([None, 3,5], dtype=float) > 3)
all(pd.Series([None, 3,5], dtype='float[pyarrow]') > 3)
Issue Description
Do to the pyarrow nullable bool type, there is a TypeError and the behaviour is inconsistent:
all(pd.Series([None, 3,5], dtype=float) > 3)
Out[10]: False`
all(pd.Series([None, 3,5], dtype='float[pyarrow]') > 3)
Traceback (most recent call last):
File "C:\Users\Schleehauf\PycharmProjects\viodata\viotools.venv\Lib\site-packages\IPython\core\interactiveshell.py", line 3672, in run_code
exec(code_obj, self.user_global_ns, self.user_ns)
File "", line 1, in
all(pd.Series([None, 3,5], dtype='float[pyarrow]') > 3)
File "pandas/_libs/missing.pyx", line 392, in pandas._libs.missing.NAType.bool
TypeError: boolean value of NA is ambiguous
Expected Behavior
Be consitant, fill the bool NA value with False for the next xxx releases and maybe add a DeprecationWarning
Installed Versions
INSTALLED VERSIONS
------------------
commit : 2cc37625532045f4ac55b27176454bbbc9baf213
python : 3.12.10
python-bits : 64
OS : Windows
OS-release : 11
Version : 10.0.26100
machine : AMD64
processor : Intel64 Family 6 Model 186 Stepping 2, GenuineIntel
byteorder : little
LC_ALL : None
LANG : None
LOCALE : de_DE.cp1252
pandas : 2.3.0
numpy : 2.2.6
pytz : 2025.2
dateutil : 2.9.0.post0
pip : None
Cython : None
sphinx : None
IPython : 9.3.0
adbc-driver-postgresql: None
adbc-driver-sqlite : None
bs4 : 4.13.4
blosc : None
bottleneck : 1.5.0
dataframe-api-compat : None
fastparquet : None
fsspec : 2025.5.1
html5lib : None
hypothesis : None
gcsfs : None
jinja2 : 3.1.6
lxml.etree : 5.4.0
matplotlib : 3.10.3
numba : 0.61.2
numexpr : 2.11.0
odfpy : None
openpyxl : 3.1.5
pandas_gbq : None
psycopg2 : None
pymysql : None
pyarrow : 20.0.0
pyreadstat : None
pytest : 8.4.1
python-calamine : None
pyxlsb : 1.0.10
s3fs : 2025.5.1
scipy : None
sqlalchemy : None
tables : None
tabulate : 0.9.0
xarray : None
xlrd : 2.0.2
xlsxwriter : 3.2.5
zstandard : 0.23.0
tzdata : 2025.2
qtpy : None
pyqt5 : None