BUG: numpy.iposinf and isneginf fail when NA types are in data frames

[n3world]

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, pandas
numpy.isposinf(pandas.array([1.1,2,3,None])) # Works as expected
numpy.isposinf(pandas.DataFrame(pandas.array([1.1,2,3,None])))

Issue Description

numpy isposinf and isneginf fail when a pandas data frame is passed in but succeed when an array with the same values are passed as an argument

Expected Behavior

Expected a data frame of boolean values indicating which values match the condition to be returned

Installed Versions

INSTALLED VERSIONS ------------------ commit : 2e218d1 python : 3.10.6.final.0 python-bits : 64 OS : Linux OS-release : 5.15.0-60-generic Version : #66-Ubuntu SMP Fri Jan 20 14:29:49 UTC 2023 machine : x86_64 processor : x86_64 byteorder : little LC_ALL : None LANG : en_US.UTF-8 LOCALE : en_US.UTF-8

pandas : 1.5.3
numpy : 1.24.2
pytz : 2022.7.1
dateutil : 2.8.2
setuptools : 65.5.1
pip : 22.3.1
Cython : None
pytest : 7.2.1
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 : 11.0.0
pyreadstat : None
pyxlsb : None
s3fs : None
scipy : 1.10.0
snappy : None
sqlalchemy : None
tables : None
tabulate : None
xarray : None
xlrd : None
xlwt : None
zstandard : None
tzdata : None

[phofl]

Hi, thanks for your report. Unfortunately this is expected currently. This is related to how we convert from a DataFrame to numpy