Refactor: simplify columns_cleanups using regexs

[jflairie]

Description

This PR is intended to simplify the cleanup of column names by generating a regular expression based on 2 variables:

• a list of all the characters to replace. By default, only letters will be kept
• the character to replace with. By default _

Note that this PR paves the way for introducing custom cleanup parameters. So next step is to parse new configurations

How has this change been tested?

on ipython with a dummy df

Checklist

• The PR is named correctly according CONTRIBUTE.md standards.
• My code follows the style guidelines (black formatting, typing etc.)
• I have performed a self-review of my own code
• I have commented my code, particularly in hard-to-understand areas
• [] I have made corresponding changes to the documentation
• I have tested that my code works
• In case of breaking changes, I have provided enough notice or refactored code using the feature I have just changed

[bastienboutonnet]

Thanks a lot for picking up this issue and cleaning up the part that's supposed to clean the sheet up, but was itself written dirty. Oh the irony!

I really like what you're doing here! I have a few pointers to make things a bit more robust and clearer but you're totally on the right track.

I would suggest you config mypy and flake8 as your linters so that they will complain when they should. For example the typing issue I brought up would have been flagged. Also, mypy as a linter is super nice!

[sonarqubecloud]

Kudos, SonarCloud Quality Gate passed!

0 Bugs
0 Vulnerabilities (and 0 Security Hotspots to review)
0 Code Smells

No Coverage information
0.0% Duplication

[bastienboutonnet]

Awesome! Looks great @jflairie 🎉 I'm gonna go ahead and approve it. I'll merge it into dev/objekt. Feel free to pick up on reading the config if you want to give user control (Issue #165)

[bastienboutonnet]

Closes #35