Enable cropped image-based output for `.tiff` files with `SCDataFrame`

[d33bs]

Description

This PR updates SCDataFrame to enable cropped image-based output for .tiff files in order to better visualize single-cell information in context with quality control aspects already implemented within coSMicQC. Along the journey towards this work I found that we needed to extend pandas.DataFrame through SCDataFrame in order to effectively achieve the related outcomes. This in turn caused many more changes to the SCDataFrame class which may not look necessary but ultimately enable the use of the class within Jupyter contexts (while retaining existing functionality).

I've added an example notebook to help demonstrate the capabilities found within this PR. Within this example notebook I also implement the existing label_outliers function and show the plots to help ensure all existing functionality was not impacted by the new additions found here.

The changes here strive towards #33 by addressing #40 (we still will need to find segmentation data and add this to display).

Closes #40

What kind of change(s) are included?

• [x] Feature (adds or updates new capabilities)
• [ ] Bug fix (fixes an issue).
• [ ] Enhancement (adds functionality).
• [ ] Breaking change (these changes would cause existing functionality to not work as expected).

Checklist

Please ensure that all boxes are checked before indicating that this pull request is ready for review.

• [x] I have read and followed the CONTRIBUTING.md guidelines.
• [x] I have searched for existing content to ensure this is not a duplicate.
• [x] I have performed a self-review of these additions (including spelling, grammar, and related).
• [x] These changes pass all pre-commit checks.
• [x] I have added comments to my code to help provide understanding
• [x] I have added a test which covers the code changes found within this PR
• [x] I have deleted all non-relevant text in this pull request template.

[review-notebook-app[bot]]

Check out this pull request on 

See visual diffs & provide feedback on Jupyter Notebooks.

---

Powered by ReviewNB

[d33bs]

Thanks Jenna for your review! I've addressed all comments and will now merge this in.