BUG: Segfault on np.maximum(series, ...)

[ssche]

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

import numpy as np
import pandas as pd
a = [-3.22, 4]
x = pd.Series(a)
np.maximum(x, 0, where=x > 2)

Issue Description

Segmentation fault (core dumped) when executing above code.

np.maximum(...) goes into an infinite call cycle which eventually exceeds the max. stack size.

Call stack (bottom up):

...
array_ufunc, arraylike.py:399
__array_ufunc__, generic.py:2171
array_ufunc, arraylike.py:399
__array_ufunc__, generic.py:2171
array_ufunc, arraylike.py:399
__array_ufunc__, generic.py:2171

__array_ufunc__, generic.py:2171 (core/generic.py):

class NDFrame
    ...
    @final
    def __array_ufunc__(
        self, ufunc: np.ufunc, method: str, *inputs: Any, **kwargs: Any
    ):
        return arraylike.array_ufunc(self, ufunc, method, *inputs, **kwargs)  <--

array_ufunc, arraylike.py:399 (core/arraylike.py):

    elif self.ndim == 1:
        # ufunc(series, ...)
        inputs = tuple(extract_array(x, extract_numpy=True) for x in inputs)
        result = getattr(ufunc, method)(*inputs, **kwargs)   <--
    else:
        # ufunc(dataframe)
        if method == "__call__" and not kwargs:

Expected Behavior

No recursion and successful execution of code. This used to work fine in pandas==2.1.1 (or perhaps even higher).

Installed Versions

INSTALLED VERSIONS

commit : 0691c5c
python : 3.13.1
python-bits : 64
OS : Linux
OS-release : 6.12.5-200.fc41.x86_64
Version : #1 SMP PREEMPT_DYNAMIC Sun Dec 15 16:48:23 UTC 2024
machine : x86_64
processor :
byteorder : little
LC_ALL : None
LANG : en_AU.UTF-8
LOCALE : en_AU.UTF-8

pandas : 2.2.3
numpy : 2.2.1
pytz : 2020.4
dateutil : 2.9.0.post0
pip : 24.3.1
Cython : 3.0.11
sphinx : None
IPython : None
adbc-driver-postgresql: None
adbc-driver-sqlite : None
bs4 : None
blosc : None
bottleneck : 1.4.2
dataframe-api-compat : None
fastparquet : None
fsspec : None
html5lib : None
hypothesis : None
gcsfs : None
jinja2 : None
lxml.etree : None
matplotlib : None
numba : None
numexpr : 2.10.2
odfpy : None
openpyxl : 3.1.2
pandas_gbq : None
psycopg2 : 2.9.10
pymysql : None
pyarrow : 18.1.0
pyreadstat : None
pytest : 8.3.4
python-calamine : None
pyxlsb : None
s3fs : None
scipy : 1.14.1
sqlalchemy : None
tables : 3.10.1
tabulate : None
xarray : None
xlrd : 2.0.1
xlsxwriter : None
zstandard : None
tzdata : 2024.2
qtpy : None
pyqt5 : None

[rhshadrach]

Thanks for the report, I am not able to get the example working on pandas 2.1.1. Can you post the environment details where you get this working?

Versions

INSTALLED VERSIONS
------------------
commit              : e86ed377639948c64c429059127bcf5b359ab6be
python              : 3.11.11.final.0
python-bits         : 64
OS                  : Linux
OS-release          : 6.8.0-49-generic
Version             : #49~22.04.1-Ubuntu SMP PREEMPT_DYNAMIC Wed Nov  6 17:42:15 UTC 2
machine             : x86_64
processor           : x86_64
byteorder           : little
LC_ALL              : None
LANG                : en_US.UTF-8
LOCALE              : en_US.UTF-8

pandas              : 2.1.1
numpy               : 1.26.4
pytz                : 2024.2
dateutil            : 2.9.0.post0
setuptools          : 59.6.0
pip                 : 24.2
Cython              : 3.0.11
pytest              : 8.3.3
hypothesis          : 6.112.1
sphinx              : 8.0.2
blosc               : 1.11.2
feather             : None
xlsxwriter          : 3.2.0
lxml.etree          : 5.3.0
html5lib            : 1.1
pymysql             : 1.4.6
psycopg2            : 2.9.9
jinja2              : 3.1.4
IPython             : 8.27.0
pandas_datareader   : None
bs4                 : 4.12.3
bottleneck          : 1.4.0
dataframe-api-compat: None
fastparquet         : 2024.5.0
fsspec              : 2024.9.0
gcsfs               : 2024.9.0post1
matplotlib          : 3.9.2
numba               : 0.60.0
numexpr             : 2.10.1
odfpy               : None
openpyxl            : 3.1.5
pandas_gbq          : None
pyarrow             : 17.0.0
pyreadstat          : 1.2.7
pyxlsb              : 1.0.10
s3fs                : 2024.9.0
scipy               : 1.14.1
sqlalchemy          : 2.0.35
tables              : 3.10.1
tabulate            : 0.9.0
xarray              : 2024.9.0
xlrd                : 2.0.1
zstandard           : 0.23.0
tzdata              : 2024.1
qtpy                : None
pyqt5               : None