BUG: Reading files fails when option use_inf_as_na is set to True

[Khris777]

• [ x] I have checked that this issue has not already been reported.

• [ x] I have confirmed this bug exists on the latest version of pandas.

• (optional) I have confirmed this bug exists on the master branch of pandas.

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Code Sample, a copy-pastable example

import pandas as pd
pd.set_option("use_inf_as_na", True)
pd.read_csv(some_csv_file)

Problem description

When the option use_inf_as_na is set to True reading any csv-file fails with this error:

  File "C:\Users\My.Name\AppData\Local\Continuum\miniconda3\envs\main\lib\site-packages\pandas\io\parsers.py", line 686, in read_csv
    return _read(filepath_or_buffer, kwds)

  File "C:\Users\My.Name\AppData\Local\Continuum\miniconda3\envs\main\lib\site-packages\pandas\io\parsers.py", line 458, in _read
    data = parser.read(nrows)

  File "C:\Users\My.Name\AppData\Local\Continuum\miniconda3\envs\main\lib\site-packages\pandas\io\parsers.py", line 1201, in read
    df = DataFrame(col_dict, columns=columns, index=index)

  File "C:\Users\My.Name\AppData\Local\Continuum\miniconda3\envs\main\lib\site-packages\pandas\core\frame.py", line 467, in __init__
    mgr = init_dict(data, index, columns, dtype=dtype)

  File "C:\Users\My.Name\AppData\Local\Continuum\miniconda3\envs\main\lib\site-packages\pandas\core\internals\construction.py", line 250, in init_dict
    missing = arrays.isna()

  File "C:\Users\My.Name\AppData\Local\Continuum\miniconda3\envs\main\lib\site-packages\pandas\core\series.py", line 4795, in isna
    return super().isna()

  File "C:\Users\My.Name\AppData\Local\Continuum\miniconda3\envs\main\lib\site-packages\pandas\core\generic.py", line 7109, in isna
    return isna(self).__finalize__(self, method="isna")

  File "C:\Users\My.Name\AppData\Local\Continuum\miniconda3\envs\main\lib\site-packages\pandas\core\dtypes\missing.py", line 124, in isna
    return _isna(obj)

  File "C:\Users\My.Name\AppData\Local\Continuum\miniconda3\envs\main\lib\site-packages\pandas\core\dtypes\missing.py", line 157, in _isna
    return _isna_ndarraylike(obj, inf_as_na=inf_as_na)

  File "C:\Users\My.Name\AppData\Local\Continuum\miniconda3\envs\main\lib\site-packages\pandas\core\dtypes\missing.py", line 218, in _isna_ndarraylike
    result = _isna_string_dtype(values, dtype, inf_as_na=inf_as_na)

  File "C:\Users\My.Name\AppData\Local\Continuum\miniconda3\envs\main\lib\site-packages\pandas\core\dtypes\missing.py", line 246, in _isna_string_dtype
    vec = libmissing.isnaobj_old(values.ravel())

  File "pandas\_libs\missing.pyx", line 160, in pandas._libs.missing.isnaobj_old

ValueError: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()

EDIT 1: Error also happens with read_table() and when feeding a StringIO object to read_csv().

EDIT 2: read_excel() fails as well.

Output of pd.show_versions()

INSTALLED VERSIONS

commit : d9fff27
python : 3.7.8.final.0
python-bits : 64
OS : Windows
OS-release : 10
Version : 10.0.19041
machine : AMD64
processor : Intel64 Family 6 Model 79 Stepping 1, GenuineIntel
byteorder : little
LC_ALL : None
LANG : en
LOCALE : None.None

pandas : 1.1.0
numpy : 1.19.1
pytz : 2020.1
dateutil : 2.8.1
pip : 20.2.1
setuptools : 49.2.1.post20200802
Cython : 0.29.21
pytest : None
hypothesis : None
sphinx : 3.1.2
blosc : None
feather : None
xlsxwriter : 1.3.1
lxml.etree : 4.5.2
html5lib : 1.1
pymysql : None
psycopg2 : None
jinja2 : 2.11.2
IPython : 7.17.0
pandas_datareader: None
bs4 : 4.9.1
bottleneck : None
fsspec : 0.8.0
fastparquet : 0.4.1
gcsfs : None
matplotlib : 3.3.0
numexpr : None
odfpy : None
openpyxl : 3.0.4
pandas_gbq : None
pyarrow : 1.0.0
pytables : None
pyxlsb : None
s3fs : None
scipy : 1.5.0
sqlalchemy : 1.3.18
tables : None
tabulate : 0.8.7
xarray : None
xlrd : 1.2.0
xlwt : None
numba : 0.50.1

[jorisvandenbossche]

@Khris777 thanks for the report. This is a duplicate of #35493, and is already fixed in master and will be included in the 1.1.1 release.