Description
- I have checked that this issue has not already been reported.
- I have confirmed this bug exists on the latest version of pandas (1.3.1)
- (optional) I have confirmed this bug exists on the master branch of pandas.
Code Sample, a copy-pastable example
# These 2-adic invocations don't fail and return a Series/DataFrame/ndarray respectively:
np.fmin(pd.Series(np.array([1, 2])), pd.Series(np.array([3, 4])))
np.fmin(pd.DataFrame(np.array([[1, 2]])), pd.DataFrame(np.array([[3, 4]])))
np.fmin(np.array([1, 2]), np.array([3, 4]), np.array([5, 6]))
# These 3-adic invocations fail (RecursionError: maximum recursion depth exceeded)
np.fmin(pd.Series(np.array([1, 2])), pd.Series(np.array([3, 4])), pd.Series(np.array([5, 6])))
np.minimum(pd.Series(np.array([1, 2])), pd.Series(np.array([3, 4])), pd.Series(np.array([5, 6])))
np.fmin(pd.DataFrame(np.array([[1, 2]])), pd.DataFrame(np.array([[3, 4]])), pd.DataFrame(np.array([[5, 6]])))Problem description
I'm not sure if this is strictly a Pandas bug since it involves a Numpy function, but the infinite recursion goes through Pandas functions only so it seems like the only place it could be solved is within Pandas itself.
The end of the stack trace looks like this:
File "C:\Users\mboling\Anaconda3\envs\py3_2\lib\site-packages\pandas\core\generic.py", line 1936, in __array_ufunc__
return arraylike.array_ufunc(self, ufunc, method, *inputs, **kwargs)
File "C:\Users\mboling\Anaconda3\envs\py3_2\lib\site-packages\pandas\core\arraylike.py", line 358, in array_ufunc
result = getattr(ufunc, method)(*inputs, **kwargs)
File "C:\Users\mboling\Anaconda3\envs\py3_2\lib\site-packages\pandas\core\generic.py", line 1936, in __array_ufunc__
return arraylike.array_ufunc(self, ufunc, method, *inputs, **kwargs)
File "C:\Users\mboling\Anaconda3\envs\py3_2\lib\site-packages\pandas\core\arraylike.py", line 358, in array_ufunc
result = getattr(ufunc, method)(*inputs, **kwargs)
File "C:\Users\mboling\Anaconda3\envs\py3_2\lib\site-packages\pandas\core\generic.py", line 1936, in __array_ufunc__
return arraylike.array_ufunc(self, ufunc, method, *inputs, **kwargs)
File "C:\Users\mboling\Anaconda3\envs\py3_2\lib\site-packages\pandas\core\arraylike.py", line 357, in array_ufunc
inputs = tuple(extract_array(x, extract_numpy=True) for x in inputs)
File "C:\Users\mboling\Anaconda3\envs\py3_2\lib\site-packages\pandas\core\arraylike.py", line 357, in <genexpr>
inputs = tuple(extract_array(x, extract_numpy=True) for x in inputs)
File "C:\Users\mboling\Anaconda3\envs\py3_2\lib\site-packages\pandas\core\construction.py", line 396, in extract_array
if isinstance(obj, (ABCIndexClass, ABCSeries)):
(This RecursionError actually manifested as a segfault in my application so was a bit of a pain to track down.)
Expected Output
The failing examples involving Series should evaluate to pd.Series([1, 2])
Output of pd.show_versions()
pandas : 1.2.4
numpy : 1.20.2
pytz : 2021.1
dateutil : 2.8.1
pip : 21.1.1
setuptools : 52.0.0.post20210125
Cython : 0.29.23
pytest : 6.2.3
hypothesis : None
sphinx : None
blosc : None
feather : None
xlsxwriter : None
lxml.etree : 4.6.3
html5lib : 1.1
pymysql : None
psycopg2 : None
jinja2 : 3.0.0
IPython : 7.22.0
pandas_datareader: None
bs4 : 4.9.3
bottleneck : 1.3.2
fsspec : 0.9.0
fastparquet : None
gcsfs : None
matplotlib : 3.3.4
numexpr : None
odfpy : None
openpyxl : 3.0.7
pandas_gbq : None
pyarrow : 3.0.0
pyxlsb : None
s3fs : None
scipy : 1.6.2
sqlalchemy : None
tables : None
tabulate : None
xarray : 0.18.0
xlrd : 2.0.1
xlwt : None
numba : 0.53.0