Stop Creating Boring Vanilla Plots — Use Matplotlib Annotations Instead
Last Updated on July 17, 2023 by Editorial Team
Author(s): Bex T.
Originally published on Towards AI.
Be a pro and stand out

Image by me with Midjourney
Every single tutorial or course I took did not care to spend more than 5 minutes explaining annotations in Matplotlib. If I googled the topic, the first 5–6 links are from Matplotlib documentation; the rest are just slightly altered versions of it.
I found this frustrating because I was not a big fan of Matplotlib docs (until they changed it last year). So, for my future self and others, I decided to write a comprehensive tutorial on controlling annotations in Matplotlib.
The code to load libraries and for some JNotebook cell magic for plotting good plots.
We will be… Read the full blog for free on Medium.
Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor.
Published via Towards AI
Towards AI Academy
We Build Enterprise-Grade AI. We'll Teach You to Master It Too.
15 engineers. 100,000+ students. Towards AI Academy teaches what actually survives production.
Start free — no commitment:
→ 6-Day Agentic AI Engineering Email Guide — one practical lesson per day
→ Agents Architecture Cheatsheet — 3 years of architecture decisions in 6 pages
Our courses:
→ AI Engineering Certification — 90+ lessons from project selection to deployed product. The most comprehensive practical LLM course out there.
→ Agent Engineering Course — Hands on with production agent architectures, memory, routing, and eval frameworks — built from real enterprise engagements.
→ AI for Work — Understand, evaluate, and apply AI for complex work tasks.
Note: Article content contains the views of the contributing authors and not Towards AI.