BUG: to_csv() quotechar/escapechar behavior differs from csv module

[johnrtian]

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
import csv
import sys

data = [['a', 'b"c', 'def"'], ['a2', None, '"c']]

# no escaping
df = pd.DataFrame(data)
print(df.to_csv(sep='\t', index=False, header=False, quotechar='"', escapechar='\\', quoting=csv.QUOTE_NONE))
print(df.to_csv(sep='\t', index=False, header=False, quotechar='"', escapechar='\\', quoting=csv.QUOTE_NONE, doublequote=False))

# escaping
csv_writer = csv.writer(sys.stdout, delimiter='\t', quotechar='"', escapechar='\\', quoting=csv.QUOTE_NONE)
for r in data:
    _ = csv_writer.writerow(r)

Issue Description

to_csv() doesn't escape quotechar when quoting=csv.QUOTE_NONE.

a       b"c     def"
a2              "c

Expected Behavior

quotechar gets escaped using escapechar even when quoting=csv.QUOTE_NONE.
This is the behavior of the csv module.

a       b\"c    def\"
a2              \"c

Installed Versions

INSTALLED VERSIONS

commit : 0691c5c
python : 3.11.2
python-bits : 64
OS : Windows
OS-release : 10
Version : 10.0.22621
machine : AMD64
processor : Intel64 Family 6 Model 140 Stepping 1, GenuineIntel
byteorder : little
LC_ALL : None
LANG : en_US.UTF-8
LOCALE : English_United States.1252

pandas : 2.2.3
numpy : 1.26.2
pytz : 2023.3.post1
dateutil : 2.8.2
pip : 25.0.1
Cython : None
sphinx : None
IPython : 8.24.0
adbc-driver-postgresql: None
adbc-driver-sqlite : None
bs4 : 4.12.3
blosc : None
bottleneck : None
dataframe-api-compat : None
fastparquet : None
fsspec : None
html5lib : None
hypothesis : None
gcsfs : None
jinja2 : None
lxml.etree : None
matplotlib : None
numba : None
numexpr : None
odfpy : None
openpyxl : 3.1.5
pandas_gbq : None
psycopg2 : 2.9.9
pymysql : None
pyarrow : None
pyreadstat : None
pytest : None
python-calamine : None
pyxlsb : None
s3fs : None
scipy : None
sqlalchemy : 2.0.23
tables : None
tabulate : None
xarray : None
xlrd : None
xlsxwriter : None
zstandard : None
tzdata : 2023.3
qtpy : None
pyqt5 : None

[rhshadrach]

Confirmed on main. Agreed with the expected behavior, further investigations and PRs to fix are welcome!

[omarraf]

take

[KevsterAmp]

@omarraf are you still working on this? can i take over this issue thanks

[omarraf]

@KevsterAmp yes go for it

[KevsterAmp]

Take