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Motion
Motion preference

The full field and its interactions.

中

Scientific tools

Data preparation, mode analysis and research plots.

Problem & purpose

Four shared libraries cover data preparation, mode analysis, plotting foundations and visualization workflows: campaign-data, eigenmode-analysis, plot-foundation and plot-workflows.

The problem

A scan needs coverage and conflict checks before mode analysis and plotting. Four separate libraries connect those steps while leaving data and physical interpretation with the caller.

SoftwarePythonScientific computing

Images & examples

campaign-dataeigenmode-analysisplot-foundationplot-workflows
Module overview

campaign-data audits coverage, overlaps and mesh conflicts in three generated CSVs; plot-foundation renders lines, scalar grids and layered surfaces from analytic functions.

The plot-workflows end-to-end example organizes synthetic candidates into band, Q and polarization views. Its Q and S3 channels are independently defined examples, not physical quantities derived from the eigenvalues.

4 shared libraries

How to start

Start with each repository's installation instructions and synthetic examples: audit files, track candidates, then render and explicitly export. For combined use, follow the compatibility notes in plot-workflows.

Resources & access

Site index

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