General symbolic + numeric uncertainty propagation, weighted linear regression
Project description
ieeLabTools
Tools for laboratory data analysis, including:
- General symbolic & numeric uncertainty propagation
- Weighted linear regression (uncertainties in
y) - Designed for physics, engineering, and other quantitative lab work
This library is part of the PhySiLight-Tools ecosystem.
✨ Features
| Feature | Description |
|---|---|
Yvel |
Propagate measurement uncertainties using partial derivatives |
| Symbolic mode | Generates algebraic uncertainty expressions via SymPy |
| Numeric mode | Evaluates uncertainty for data arrays of any length |
| LaTeX output(WIP) | Pretty-print formulas for lab reports |
| WeightedLinearRegression | Weighted least-squares fit (supports y-errors) |
| ODR support | Not implemented yet (planned) |
📦 Installation
pip install ieeLabTools
🧪 This package was originally developed to automate general uncertainty propagation for physics lab courses, reducing >manual symbolic differentiation and repetitive numeric error calculation.
Part of the PhySiLight-Tools physics utilities collection.
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