mespy 1.1.2

Toolbox Python per l'analisi dei dati di laboratorio

mespy

Documentation: giancarmine-sparso.github.io/mespy

Small Python toolbox for mechanics laboratory data analysis.

mespy started as a set of helper functions that kept reappearing across mechanics lab notebooks and classroom scripts: loading CSV measurements, computing descriptive and weighted statistics, plotting histograms, and running linear fits with uncertainties. The library brings those recurring tasks together into a single typed package with a small public API that is easy to use in notebooks, scripts, and teaching material.

What It Provides

• CSV loading with explicit missing-data policies
• Descriptive and weighted statistics for one-dimensional data
• Histogram plotting for quick exploratory analysis
• Weighted linear fitting with a typed result object
• Clear validation errors instead of silent nan propagation

Public API

The root package exports:

• load_csv
• median
• weighted_mean
• variance
• covariance
• standard_deviation
• histogram
• lin_fit

The root namespace stays intentionally small. Additional public types, such as mespy.fit_utils.LinearFitResult, live in submodules.

Installation

mespy requires Python >= 3.12.

git clone https://github.com/giancarmine-sparso/mespy
cd mespy
make setup

If you want to activate the virtual environment manually:

source .venv/bin/activate

Documentation

The Sphinx source lives in docs/source, and the generated site is written to docs/build/html.

Build the documentation with:

make docs

The generated site includes both English and Italian outputs, with English as the default landing page. Complete usage workflows and notebooks are available in docs/source/examples.

Project Structure

mespy/
├── .github/
│   └── workflows/          # automation for documentation publishing
├── data/
│   └── reference/          # reference datasets used by tests and examples
├── docs/
│   ├── source/             # Sphinx source, examples, and translations
│   ├── Makefile
│   └── make.bat
├── figures/                # exported example figures
├── src/
│   └── mespy/              # library package
├── tests/                  # pytest suite
├── tools/                  # release and smoke-test helpers
├── LICENSE
├── Makefile                # local setup, testing, release, and docs tasks
├── pyproject.toml          # package metadata and dependencies
├── README.md
└── uv.lock