# rougier/matplotlib-tutorial

Matplotlib tutorial for beginner

Repository: https://github.com/rougier/matplotlib-tutorial
Canonical: https://ross.abutalabs.com/products/matplotlib-tutorial
Language: Python
License Family: other
Topics: python, matplotlib, tutorial
Last push: 2024-05-27T12:56:12+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 4861, "days_push": 828, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3172, forks 823 (observed 2026-08-28T04:07:47.508415+00:00)

## What it is
A beginner-level tutorial for Matplotlib, the most widely used Python 2D plotting library, written by Nicolas P. Rougier. It walks through building publication-quality figures step by step, from default plots to customized sine/cosine examples, with runnable scripts and a CC BY-SA license.

## Use cases
- learn matplotlib from scratch
- tutorial on plotting in python
- make publication-quality figures with matplotlib
- customize matplotlib plots step by step
- introduction to pyplot and IPython plotting
- visualize data with python for beginners

## When to choose
- you are new to matplotlib and want a structured, example-driven introduction
- you want to learn figure customization incrementally from defaults
- you prefer runnable scripts accompanying each lesson

## When to avoid
- you need official, up-to-date API documentation
- you need advanced or interactive plotting beyond 2D basics
- you want a maintained library rather than learning material

## Facets
- artifact type: learning-resource
- maturity: stable
- function: data-visualization, developer-tools
- domain: data-visualization, tutorials, data-science
- platform: python, cross-platform
- tags: matplotlib, plotting, beginner-friendly, ipython, numpy

## Member repositories
- rougier/matplotlib-tutorial (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:47.508415+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T18:45:28.319607+00:00, confidence not recorded.
  - readme: https://github.com/rougier/matplotlib-tutorial (fetched 2026-08-28T04:07:47.508415+00:00, sha 3d4b3c4ce4b3)
- Data as of 2026-08-30T08:39:29.467469+00:00.