feat: mock scatter plot functionality

[gunnarstaff]

Description

The added functionality allows you to create a time series where the timestamps is scaled with the "x-parameter", such that the scatter plot is superimposed on the time series chart. Both the "x-vector" and the "y-vector" are calculated, allowing you to plot the "x-vector" allowing you to read the x-value in addition to the y-value

Motivation and Context

Today it is not possible to plot scatter type of plots. This is a very important tool in many situations where the change over time is not the most important factor, but instead change as a function of another parameter. Typical examples are equipment performance as a function of load, choke performance as a function of opening,+++

How Has This Been Tested?

Tested for a production choke CV curve case where the output is superimposed on the timeseries plot
Tested on Windows 11 using python 3.10.7

Screenshots (if appropriate):

Types of changes

• Bug fix (non-breaking change which fixes an issue)
• Refactor (non-breaking change which improves implementation)
• Performance (non-breaking change which improves performance. Please add associated performance test and results)
• New feature (non-breaking change which adds functionality)
• Breaking change (fix or feature that would cause existing functionality to change)
• Non-functional change (xml comments/documentation/etc)

Contributor Checklist:

• My code follows the code style of this project.
• I have added an example of my new feature and included it in the documentation.
• My change requires a change to the documentation.
• I have updated the documentation accordingly.
• I have read the CONTRIBUTING document.
• I have added tests to cover my changes.
• All new and existing tests passed.
• My Pull Request name follows the naming convention fix: <description>, feat: <description>, etc.

Reviewer Checklist for Charts compliant functions:

• The docstrings of the new function follow the contributing guidelines.
• The new function is professionally documented
• The new function and associated scripts are covered by one or more unit tests and code coverage did not decrease.
• The new function is accompanied by an example and it is included in the Gallery of Charts.
• The new function is reviewed in Chromatic. Access the storybook build results url and comment, approve or deny.
• All function inputs, arguments, and outputs have a supported data type and have human readable names.
• No code language is included in the description of the function or parameters (e.g use "polynomial order" instead of "poly_order")

[codecov]

Codecov Report

Attention: Patch coverage is 96.66667% with 1 line in your changes missing coverage. Please review.

Project coverage is 91.28%. Comparing base (9f4450c) to head (665d14d).
Report is 1 commits behind head on main.

Files	Patch %	Lines
indsl/resample/mock_scatter_plot.py	96.29%	0 Missing and 1 partial ⚠️

Additional details and impacted files

@@            Coverage Diff             @@
##             main     #279      +/-   ##
==========================================
+ Coverage   91.25%   91.28%   +0.03%     
==========================================
  Files         106      107       +1     
  Lines        3863     3891      +28     
  Branches      839      845       +6     
==========================================
+ Hits         3525     3552      +27     
  Misses        208      208              
- Partials      130      131       +1     

Files	Coverage Δ
indsl/resample/__init__.py	100.00% <100.00%> (ø)
indsl/resample/mock_scatter_plot.py	96.29% <96.29%> (ø)

[github-actions]

Unit Test Results

    15 files  ± 0      15 suites  ±0   26m 1s ⏱️ -7s
 1 117 tests + 3   1 117 ✅ + 3  0 💤 ±0  0 ❌ ±0 
11 022 runs  +27  11 013 ✅ +27  9 💤 ±0  0 ❌ ±0 

Results for commit 665d14d. ± Comparison against base commit 9f4450c.

♻️ This comment has been updated with latest results.