BUG: Disabling pandas option display.html.use_mathjax has no effect

[niklassemmler]

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Reproducible Example

import pandas as pd
pd.set_option('display.html.use_mathjax', False)
pd.DataFrame([
    "$2.13 dont_make_this_math $5.24"
])

Issue Description

My pandas data frames contain text columns which contain dollar signs. I need to be represented as raw strings not as a math-formatted picture.

Pandas provides the option display.html.use_mathjax to this end. However, setting the option does not change pandas behavior. Even with the config set the string "$2.13 dont_make_this_math $5.24" has its spaces removed and text after _ subscripted.

I understand this can be managed by explicitly escaping dollar signs in any text column I come across, but this is a lot of overhead.

Expected Behavior

not as

Installed Versions

INSTALLED VERSIONS

commit : 0691c5c
python : 3.11.9
python-bits : 64
OS : Darwin
OS-release : 23.6.0
Version : Darwin Kernel Version 23.6.0: Mon Jul 29 21:14:30 PDT 2024; root:xnu-10063.141.2~1/RELEASE_ARM64_T6000
machine : arm64
processor : arm
byteorder : little
LC_ALL : None
LANG : en_US.UTF-8
LOCALE : en_US.UTF-8

pandas : 2.2.3
numpy : 1.26.4
pytz : 2024.1
dateutil : 2.9.0.post0
pip : 23.3.1
Cython : None
sphinx : None
IPython : 8.27.0
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 : 3.1.4
lxml.etree : None
matplotlib : 3.9.2
numba : None
numexpr : None
odfpy : None
openpyxl : None
pandas_gbq : None
psycopg2 : None
pymysql : None
pyarrow : 15.0.2
pyreadstat : None
pytest : None
python-calamine : None
pyxlsb : None
s3fs : None
scipy : None
sqlalchemy : None
tables : None
tabulate : None
xarray : None
xlrd : None
xlsxwriter : None
zstandard : None
tzdata : 2024.1
qtpy : None
pyqt5 : None