frame-level get and set interface

[dougbrn]

Change Description

Resolves #99

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

Solution Description

This PR enables a pandas-like get and set interface with nested columns. The implementation is just augmenting __getitem__ and __setitem__ to understand the hierarchical column naming scheme and handle it appropriately. We have held off on this because nested-pandas is not optimized for it, as this implementation involves a full rebuild of a nested column when doing things like adding or modifying a column. I added a tutorial with a note on this performance issue, but it's probably better that this is here but slow instead of sitting in the backlog :)

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

[codecov]

Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 99.45%. Comparing base (a2272cd) to head (306aa38).
Report is 61 commits behind head on main.

Additional details and impacted files

@@            Coverage Diff             @@
##             main     #135      +/-   ##
==========================================
+ Coverage   99.44%   99.45%   +0.01%     
==========================================
  Files          14       14              
  Lines         897      917      +20     
==========================================
+ Hits          892      912      +20     
  Misses          5        5              

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[github-actions]

Before [a2272cd]	After [bc1c7f8]	Ratio	Benchmark (Parameter)
31.3±2ms	35.1±3ms	~1.12	benchmarks.AssignSingleDfToNestedSeries.time_run
1.11±0.02ms	1.12±0.02ms	1.01	benchmarks.NestedFrameReduce.time_run
283M	286M	1.01	benchmarks.ReassignHalfOfNestedSeries.peakmem_run
266M	264M	1.00	benchmarks.AssignSingleDfToNestedSeries.peakmem_run
87.2M	87.1M	1.00	benchmarks.NestedFrameAddNested.peakmem_run
90.9M	90.6M	1.00	benchmarks.NestedFrameReduce.peakmem_run
9.26±0.09ms	9.20±0.1ms	0.99	benchmarks.NestedFrameAddNested.time_run
94.2M	91.9M	0.98	benchmarks.NestedFrameQuery.peakmem_run
6.46±0.06ms	6.26±0.03ms	0.97	benchmarks.NestedFrameQuery.time_run
60.9±3ms	57.5±3ms	0.94	benchmarks.ReassignHalfOfNestedSeries.time_run

Click here to view all benchmarks.

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[wilsonbb]

LGTM!