TST: Solution to doctest error in _parse_latex_header_span
The following commit fixes the doctext in _parse_latex_header_span. Solves issue #42673

- [X] closes #42673 

> Thanks! If you want, you can add the file here, so it's validated in the CI, and no more errors are introduced:
> 
> https://github.com/pandas-dev/pandas/blob/c1aea793e03f11b587fbda833b2f5ad06c4bbced/ci/code_checks.sh#L123

Done. Please check the latest commit. Can someone please help me in understanding why one check is failing? It looked like there is some conda virtual environment issue. I don't know if this information is relevant, but I've followed this section (https://pandas.pydata.org/docs/development/contributing_environment.html#creating-a-python-environment-pip) to setup a local environment.  Sorry @aneesh98, my fault. You fixed one of the examples in that file, but there are couple more that are still failing. You can remove the file you added to `ci/code_checks.sh` (or fix those two cases). If you fix the other cases in the file, let them know in #42674.

Thanks! Hi @datapythonista. For fixing those 2 cases I'll have to make 2 different pull requests right?. Also am I supposed to put some message on #42674 before fixing it, because I guess someone else has already taken up the issue.
Thanks. > Hi @datapythonista. For fixing those 2 cases I'll have to make 2 different pull requests right?. Also am I supposed to put some message on #42674 before fixing it, because I guess someone else has already taken up the issue.
> Thanks.

Large PRs are usually discouraged. Since it's a waste of time to have to review a very big PR every time there is a new update to it. But I think in this case the PR will still be quite small and focused, so all in the same is surely ok.

It happens very often that people assign issues to themselves, and then they don't have the time to work on them. Since those are small fixes, I think several days without activity tells that this is quite likely to be the case. But it's surely polite to write a comment in the issue, and ask if there has been any progress, and if it's ok that you continue the work on it. > > Hi @datapythonista. For fixing those 2 cases I'll have to make 2 different pull requests right?. Also am I supposed to put some message on #42674 before fixing it, because I guess someone else has already taken up the issue.
> > Thanks.
> 
> Large PRs are usually discouraged. Since it's a waste of time to have to review a very big PR every time there is a new update to it. But I think in this case the PR will still be quite small and focused, so all in the same is surely ok.
> 
> It happens very often that people assign issues to themselves, and then they don't have the time to work on them. Since those are small fixes, I think several days without activity tells that this is quite likely to be the case. But it's surely polite to write a comment in the issue, and ask if there has been any progress, and if it's ok that you continue the work on it.

Okay. Thanks.  thanks @aneesh98 