Issue 283 nano plot scaling

[minimav]

Summary

This PR fixes a bug whereby values from unselected rows affect the scaling in nanoplots. In addition to the single values case given in #283, a simple example of the bug in the context of multiple values per row is below (when autoscale is used):

multiple_vals_df = pd.DataFrame(
    {
        "i": list(range(1, 3)),
        "lines_small": ["12.44 6.34", "5.2 -8.2 10"],
        "lines_large": ["12.44, 6.34", "5.2 -8.2 100"],
    }
)
(
    GT(multiple_vals_df, rowname_col="i")
    .fmt_nanoplot(columns="lines_small", rows=[0], plot_type="line", autoscale=True)
    .fmt_nanoplot(columns="lines_large", rows=[0], plot_type="line", autoscale=True)
)

Single values example post-fix:

Multiple values example post-fix:

I have added a couple of unit tests based on existing ones, let me know if they work. Thanks for your work on this library, I have been using it at work and really enjoying it 🙂

Related GitHub Issues and PRs

• Ref: fmt_nanoplot includes excluded rows when scaling plot #283

Checklist

• I understand and agree to the Code of Conduct.
• I have followed the Style Guide for Python Code as best as possible for the submitted code.
• I have added pytest unit tests for any new functionality.

[codecov]

Codecov Report

Attention: Patch coverage is 83.33333% with 1 line in your changes missing coverage. Please review.

Project coverage is 86.64%. Comparing base (f8e30ea) to head (f1df81e).

Files	Patch %	Lines
great_tables/_formats.py	83.33%	1 Missing ⚠️

Additional details and impacted files

@@            Coverage Diff             @@
##             main     #404      +/-   ##
==========================================
+ Coverage   86.40%   86.64%   +0.24%     
==========================================
  Files          42       42              
  Lines        4700     4704       +4     
==========================================
+ Hits         4061     4076      +15     
+ Misses        639      628      -11     

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