REGR: df.apply('any', axis=1) fails with ValueError

[vnlitvinov]

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 pandas as pd
df = pd.DataFrame({'a': [0, 1]})
print(df.apply('any', axis=1))

Issue Description

When running the snippet above, pandas 1.5 produces the following stack trace:

Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "C:\Users\Vass\.conda\envs\pandas\lib\site-packages\pandas\core\frame.py", line 9558, in apply
    return op.apply().__finalize__(self, method="apply")
  File "C:\Users\Vass\.conda\envs\pandas\lib\site-packages\pandas\core\apply.py", line 720, in apply
    return self.apply_str()
  File "C:\Users\Vass\.conda\envs\pandas\lib\site-packages\pandas\core\apply.py", line 923, in apply_str
    return super().apply_str()
  File "C:\Users\Vass\.conda\envs\pandas\lib\site-packages\pandas\core\apply.py", line 556, in apply_str
    raise ValueError(f"Operation {f} does not support axis=1")
ValueError: Operation any does not support axis=1

I believe the root cause is this chunk of code:

pandas/pandas/core/apply.py

Lines 550 to 556 in c68a96f

	func = getattr(obj, f, None)
	if callable(func):
	sig = inspect.getfullargspec(func)
	if self.axis != 0 and (
	"axis" not in sig.args or f in ("corrwith", "mad", "skew")
	):
	raise ValueError(f"Operation {f} does not support axis=1")

which should get the signature of pandas.DataFrame.any but, as .any() is decorated:

pandas/pandas/core/generic.py

Lines 11629 to 11647 in c68a96f

	@deprecate_nonkeyword_arguments(
	version=None,
	allowed_args=["self"],
	name="DataFrame.any and Series.any",
	)
	@doc(
	_bool_doc,
	desc=_any_desc,
	name1=name1,
	name2=name2,
	axis_descr=axis_descr,
	see_also=_any_see_also,
	examples=_any_examples,
	empty_value=False,
	)
	def any(
	self, axis=0, bool_only=None, skipna: bool_t = True, level=None, **kwargs
	):
	return NDFrame.any(self, axis, bool_only, skipna, level, **kwargs)

it gets the signature of the decorator function instead.

Expected Behavior

The snippet above is printing the following when run on pandas 1.4.4:

0    False
1     True
dtype: bool

I believe it should print the same on 1.5.x, too.

Installed Versions

pd.show_versions()

INSTALLED VERSIONS
------------------
commit           : 87cfe4e38bafe7300a6003a1d18bd80f3f77c763
python           : 3.8.13.final.0
python-bits      : 64
OS               : Windows
OS-release       : 10
Version          : 10.0.22000
machine          : AMD64
processor        : AMD64 Family 25 Model 80 Stepping 0, AuthenticAMD
byteorder        : little
LC_ALL           : None
LANG             : None
LOCALE           : Russian_Russia.1251

pandas           : 1.5.0
numpy            : 1.23.3
pytz             : 2022.2.1
dateutil         : 2.8.2
setuptools       : 65.3.0
pip              : 22.2.2
Cython           : None
pytest           : None
hypothesis       : None
sphinx           : None
blosc            : None
feather          : None
xlsxwriter       : None
lxml.etree       : None
html5lib         : None
pymysql          : None
psycopg2         : None
jinja2           : None
IPython          : None
pandas_datareader: None
bs4              : None
bottleneck       : None
brotli           : None
fastparquet      : None
fsspec           : None
gcsfs            : None
matplotlib       : None
numba            : None
numexpr          : None
odfpy            : None
openpyxl         : None
pandas_gbq       : None
pyarrow          : None
pyreadstat       : None
pyxlsb           : None
s3fs             : None
scipy            : None
snappy           : None
sqlalchemy       : None
tables           : None
tabulate         : None
xarray           : None
xlrd             : None
xlwt             : None
zstandard        : None
tzdata           : None

[MarcoGorelli]

Thanks @vnlitvinov for the report, looks like this was caused by #44896

[phofl]

Yep, can confirm:

commit a59582da8c9fa410ac05e25ee117a7fef996247f
Author: Sachin Yadav <[email protected]>
Date:   Mon Apr 11 01:04:27 2022 +0530

    DEPR: non-keyword arguments in any (#44896)

[MarcoGorelli]

Hey @vnlitvinov

Thanks for having reported this - there's now a release candidate for pandas 2.0.0, which you can install with

mamba install -c conda-forge/label/pandas_rc pandas==2.0.0rc0

or

python -m pip install --upgrade --pre pandas==2.0.0rc0

If you try it out and report bugs, then we can fix them before the final 2.0.0 release