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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 : 2e218d10984e9919f0296931d92ea851c6a6faf5 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

Comment From: phofl

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