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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.
>>> dd = pd.DataFrame({"A": pd.Series([True, False, None], dtype="bool[pyarrow]")}) >>> dd.drop_duplicates() Traceback (most recent call last): File "<stdin>", line 1, in <module> File "E:\pd_dev_0814\Lib\site-packages\pandas\core\frame.py", line 6568, in drop_duplicates result = self[-self.duplicated(subset, keep=keep)] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "E:\pd_dev_0814\Lib\site-packages\pandas\core\frame.py", line 6704, in duplicated result = self[subset[0]].duplicated(keep) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "E:\pd_dev_0814\Lib\site-packages\pandas\core\series.py", line 2484, in duplicated res = self._duplicated(keep=keep) ^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "E:\pd_dev_0814\Lib\site-packages\pandas\core\base.py", line 1368, in _duplicated return algorithms.duplicated(self._values, keep=keep) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "E:\pd_dev_0814\Lib\site-packages\pandas\core\algorithms.py", line 1003, in duplicated values = _ensure_data(values) ^^^^^^^^^^^^^^^^^^^^ File "E:\pd_dev_0814\Lib\site-packages\pandas\core\algorithms.py", line 155, in _ensure_data return np.asarray(values).astype("uint8", copy=False) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ TypeError: int() argument must be a string, a bytes-like object or a real number, not 'NAType' >>>
The error is not expected, the call to drop_duplicates should succeed.
I expect this example to succeed. If the null value is removed, the call succeeds.
>>> dd = pd.DataFrame({"A": pd.Series([True, False], dtype="bool[pyarrow]")}) >>> dd.drop_duplicates() A 0 True 1 False >>>
commit : 6e194cf python : 3.11.2.final.0 python-bits : 64 OS : Windows OS-release : 10 Version : 10.0.22621 machine : AMD64 processor : Intel64 Family 6 Model 85 Stepping 7, GenuineIntel byteorder : little LC_ALL : None LANG : None LOCALE : English_United States.1252
pandas : 2.1.0rc0 numpy : 1.25.2 pytz : 2023.3 dateutil : 2.8.2 setuptools : 68.0.0 pip : 23.2.1 Cython : None pytest : 7.0.1 hypothesis : None sphinx : 4.2.0 blosc : None feather : None xlsxwriter : None lxml.etree : None html5lib : None pymysql : None psycopg2 : None jinja2 : 3.1.2 IPython : 8.14.0 pandas_datareader : None bs4 : 4.12.2 bottleneck : None brotli : None dataframe-api-compat: None fastparquet : None fsspec : None gcsfs : None matplotlib : None numba : None numexpr : None odfpy : None openpyxl : None pandas_gbq : None pyarrow : 12.0.0 pyreadstat : None pyxlsb : None s3fs : None scipy : None snappy : None sqlalchemy : None tables : None tabulate : 0.8.9 xarray : None xlrd : None zstandard : None tzdata : 2023.3 qtpy : None pyqt5 : None
The text was updated successfully, but these errors were encountered:
Successfully merging a pull request may close this issue.
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
The error is not expected, the call to drop_duplicates should succeed.
Expected Behavior
I expect this example to succeed. If the null value is removed, the call succeeds.
Installed Versions
INSTALLED VERSIONS
commit : 6e194cf
python : 3.11.2.final.0
python-bits : 64
OS : Windows
OS-release : 10
Version : 10.0.22621
machine : AMD64
processor : Intel64 Family 6 Model 85 Stepping 7, GenuineIntel
byteorder : little
LC_ALL : None
LANG : None
LOCALE : English_United States.1252
pandas : 2.1.0rc0
numpy : 1.25.2
pytz : 2023.3
dateutil : 2.8.2
setuptools : 68.0.0
pip : 23.2.1
Cython : None
pytest : 7.0.1
hypothesis : None
sphinx : 4.2.0
blosc : None
feather : None
xlsxwriter : None
lxml.etree : None
html5lib : None
pymysql : None
psycopg2 : None
jinja2 : 3.1.2
IPython : 8.14.0
pandas_datareader : None
bs4 : 4.12.2
bottleneck : None
brotli : None
dataframe-api-compat: None
fastparquet : None
fsspec : None
gcsfs : None
matplotlib : None
numba : None
numexpr : None
odfpy : None
openpyxl : None
pandas_gbq : None
pyarrow : 12.0.0
pyreadstat : None
pyxlsb : None
s3fs : None
scipy : None
snappy : None
sqlalchemy : None
tables : None
tabulate : 0.8.9
xarray : None
xlrd : None
zstandard : None
tzdata : 2023.3
qtpy : None
pyqt5 : None
The text was updated successfully, but these errors were encountered: