BUG:

[lemesdaniel]

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

txt = StringIO('"name";"cod";"value 1";"value 2"\n"Example 1";=("8445162064354");39,20;29,51\n"Example 2";=("2125253621573");61,20;60,82\n"Example 3";=("8787343899128");19,38;2,74\n"Example 4";=("6432992837362");69,85;51,17')

df = pd.read_csv(txt, sep=None,  dtype=str, engine='python')

df.head()

Issue Description

This code does not convert the data correctly. It adds non-existent columns using the decimal values with commas as if they were unnamed columns.

I have tried different settings, such as sep=';' and decimal='.', but none of them worked.

Expected Behavior

name	cod	value 1	value 2
Example 1	=("8445162064354")	39,20	29,51
Example 2	=("2125253621573")	61,20	60,82
Example 3	=("8787343899128")	19,38	2,74
Example 4	=("6432992837362")	69,85	51,17

Installed Versions

INSTALLED VERSIONS

commit : ba1cccd
python : 3.10.12.final.0
python-bits : 64
OS : Linux
OS-release : 6.2.0-32-generic
Version : #32~22.04.1-Ubuntu SMP PREEMPT_DYNAMIC Fri Aug 18 10:40:13 UTC 2
machine : x86_64
processor : x86_64
byteorder : little
LC_ALL : None
LANG : pt_BR.UTF-8
LOCALE : pt_BR.UTF-8
pandas : 2.1.0
numpy : 1.23.2
pytz : 2022.1
dateutil : 2.8.2
setuptools : 65.5.1
pip : 22.3.1
Cython : None
pytest : 7.1.2
hypothesis : None
sphinx : None
blosc : None
feather : None
xlsxwriter : None
lxml.etree : 4.9.1
html5lib : None
pymysql : None
psycopg2 : 2.9.3
jinja2 : 3.1.2
IPython : None
pandas_datareader : None
bs4 : 4.10.0
bottleneck : None
dataframe-api-compat: None
fastparquet : 0.8.3
fsspec : 2022.5.0
gcsfs : None
matplotlib : None
numba : None
numexpr : None
odfpy : None
openpyxl : 3.0.10
pandas_gbq : None
pyarrow : 8.0.0
pyreadstat : None
pyxlsb : None
s3fs : 2022.5.0
scipy : 1.11.1
sqlalchemy : 1.4.39
tables : None
tabulate : 0.9.0
xarray : None
xlrd : 2.0.1
zstandard : None
tzdata : 2022.7
qtpy : None
pyqt5 : None