BUG: Doc build fails locally due to `rstjinja` issue with `doc/source/user_guide/style.nbconvert.ipynb`

[DavidToneian]

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

python doc/make.py html

Issue Description

I'm trying to build the docs locally on main. I run into the same issue as #53777; after fixing it like in #53788 (comment), I run into another issue:

sphinx.errors.ExtensionError: Handler <function rstjinja at 0x7fb0b050c700> for event 'source-read' threw an exception (exception: unexpected char '\\' at 798112)

This seems to be correspond to doc/source/user_guide/style.nbconvert.ipynb line 14385, which is part of the following output block:

"outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{% extends \"html_table.tpl\" %}\n",
      "{% block table %}\n",
      "<h1>{{ table_title|default(\"My Table\") }}</h1>\n",
      "{{ super() }}\n",
      "{% endblock table %}\n",
      "\n"
     ]
    }
],

Line 14385 is the one that reads "{% extends \"html_table.tpl\" %}\n",. I assume jinja tries to parse this as as a block, and chokes on the escape character.

What I am wondering is two things:

1. Why does this not happen in the GitHub action that builds the docs? I tried to repliacte the environment locally as best as I could, but apparently there's something going on I don't understand.
2. How to fix the rstjinja issue, in case the answer to question 1 does not lead to a satisfying answer?

Expected Behavior

Docs should compile without error.

Installed Versions

INSTALLED VERSIONS

commit : c3cd0cb
python : 3.10.12.final.0
python-bits : 64
OS : Linux
OS-release : 5.4.0-153-generic
Version : #170-Ubuntu SMP Fri Jun 16 13:43:31 UTC 2023
machine : x86_64
processor :
byteorder : little
LC_ALL : None
LANG : C.UTF-8
LOCALE : en_US.UTF-8

pandas : 2.0.3-dev+85.gc3cd0cb80d.dirty
numpy : 1.24.4
pytz : 2023.3
dateutil : 2.8.2
setuptools : 68.0.0
pip : 23.2
Cython : 0.29.33
pytest : 7.4.0
hypothesis : 6.82.0
sphinx : 6.2.1
blosc : None
feather : None
xlsxwriter : 3.1.2
lxml.etree : 4.9.3
html5lib : 1.1
pymysql : 1.4.6
psycopg2 : 2.9.6
jinja2 : 3.1.2
IPython : 8.14.0
pandas_datareader: None
bs4 : 4.12.2
bottleneck : 1.3.7
brotli :
fastparquet : 2023.7.0
fsspec : 2023.6.0
gcsfs : 2023.6.0
matplotlib : 3.7.2
numba : 0.57.1
numexpr : 2.8.4
odfpy : None
openpyxl : 3.1.2
pandas_gbq : None
pyarrow : 12.0.1
pyreadstat : 1.2.2
pyxlsb : 1.0.10
s3fs : 2023.6.0
scipy : 1.11.1
snappy :
sqlalchemy : 2.0.19
tables : 3.8.0
tabulate : 0.9.0
xarray : 2023.7.0
xlrd : 2.0.1
zstandard : 0.19.0
tzdata : 2023.3
qtpy : None
pyqt5 : None

[Razeeeeeeeeeee]

hi @DavidToneian,
I'm a first time open source contributor, Is this a good issue to work on, If so i would wanna try my hand at it. Kindly guide me

[DavidToneian]

Hi @Razeeeeeeeeeee,

please feel free to investigate this issue. If you've got prior development experience, unrelated to pandas, it may well be worth a try; otherwise, I suggest you look for other tickets that are labeled good first issue.

[DavidToneian]

I don't experience this issue anymore. Closing for now; please re-open in case you are affected.