Replace many Pandas operations with NumPy

[JCGoran]

Describe your changes

• use numpy instead of Pandas to avoid the overhead

Perf before:

320361688 function calls (316213771 primitive calls) in 116.715 seconds

Perf after:

79419311 function calls (78769517 primitive calls) in 43.085 seconds

which is more or less in-line with the circular shapes.

Checklist

• [x] Test cases have been modified/added to cover any code changes.
• [x] Docstrings have been modified/created for any code changes.
• [x] All linting and formatting checks pass (see the contributing guidelines for more information).

[stefmolin]

Thanks for the PR, @JCGoran! As I'm sure you've seen, I have a backlog to get through :smile: I hope to get to this in the next few weeks.

[codecov[bot]]

Codecov Report

All modified and coverable lines are covered by tests :white_check_mark:

Project coverage is 98.53%. Comparing base (e440ee7) to head (0a25272).

Additional details and impacted files

@@           Coverage Diff           @@
##             main     #198   +/-   ##
=======================================
  Coverage   98.53%   98.53%           
=======================================
  Files          58       58           
  Lines        1907     1915    +8     
  Branches      114      114           
=======================================
+ Hits         1879     1887    +8     
  Misses         25       25           
  Partials        3        3           

Files with missing lines	Coverage Δ
src/data_morph/data/dataset.py	74.07% <100.00%> (+0.65%)	:arrow_up:
src/data_morph/data/stats.py	100.00% <100.00%> (ø)
src/data_morph/morpher.py	100.00% <100.00%> (ø)
src/data_morph/plotting/static.py	100.00% <100.00%> (ø)
tests/data/test_stats.py	100.00% <100.00%> (ø)
tests/test_morpher.py	100.00% <100.00%> (ø)

---- 🚨 Try these New Features:

• Flaky Tests Detection - Detect and resolve failed and flaky tests

[JCGoran]

Bump, this is more or less ready for review as-is.

[stefmolin]

I haven't forgotten 😄 I'm going to work through the PyCon Taiwan sprint PRs first since I couldn't get to them all at the event, and I want to think more about the design of the internals here. I'm traveling right now and will have very limited time for the next couple of weeks.