Fix bug for NestedFrame.drop to support 'columns='

[Graciaaa3]

Fixing the bug of NestedFrame.drop(columns=...).
Previously, when calling nf.drop(columns=...), the wrapper didn't handle the case where the columns parameter contains nested column. The function directly go to super().drop, which resulted in an error.

Change Description

closes #367

• My PR includes a link to the issue that I am addressing

Solution Description

• Added logic to treat the columns parameter as a special case that may contain nested column names.
• Normalized columns input into (labels, axis) form before calling super().drop.
• Left all other drop behaviors unchanged.

Code Quality

• I have read the Contribution Guide
• My code follows the code style of this project
• My code builds (or compiles) cleanly without any errors or warnings
• My code contains relevant comments and necessary documentation

Project-Specific Pull Request Checklists

Bug Fix Checklist

• My fix includes a new test that breaks as a result of the bug (if possible)
• My change includes a breaking change
  • My change includes backwards compatibility and deprecation warnings (if possible)

[codecov]

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 97.27%. Comparing base (ebe6315) to head (305040e).
⚠️ Report is 2 commits behind head on main.

Additional details and impacted files

@@           Coverage Diff           @@
##             main     #407   +/-   ##
=======================================
  Coverage   97.27%   97.27%           
=======================================
  Files          19       19           
  Lines        2089     2093    +4     
=======================================
+ Hits         2032     2036    +4     
  Misses         57       57           

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[github-actions]

Before [ebe6315] <v0.6.2>	After [15fb2f8]	Ratio	Benchmark (Parameter)
165±40ms	190±100ms	~1.15	benchmarks.ReadFewColumnsHTTPS.time_run
2.44±0.06s	2.54±0.2s	1.04	benchmarks.ReadFewColumnsS3.time_run
10.8±0.3ms	11.1±0.2ms	1.03	benchmarks.NestedFrameAddNested.time_run
1.3G	1.32G	1.02	benchmarks.ReadFewColumnsS3.peakmem_run
257M	257M	1.00	benchmarks.AssignSingleDfToNestedSeries.peakmem_run
136M	136M	1.00	benchmarks.CountNestedBy.peakmem_run
66.0±0.8ms	66.1±0.5ms	1.00	benchmarks.CountNestedBy.time_run
103M	103M	1.00	benchmarks.NestedFrameAddNested.peakmem_run
108M	108M	1.00	benchmarks.NestedFrameQuery.peakmem_run
11.2±0.1ms	11.1±0.05ms	1.00	benchmarks.NestedFrameQuery.time_run

Click here to view all benchmarks.

[hombit]

Is it ready to review, or still draft?

[dougbrn]

Looks good to me, thank you @Graciaaa3 !

[gitosaurus]

LGTM!

[hombit]

Looks good, thank you!