Matplotlib

Hey folks, if you're following other projects on other sites, you can also find us at: * instagram.com/matplotart/ * bsky.app/profile/matplo… * @matplotlib" target="_blank" rel="nofollow noopener">fosstodon.org/@matplotlib

Eigenvalues of random matrices Made with #python #numpy #matplotlib and #marimo

Want to contribute to #matplotlib but don't know where to start? Join us for a live session on how to help us triage issues and PRs on GitHub! 📅 July 14th · 2pm UTC 🔗 @matplotlib/triage0726" target="_blank" rel="nofollow noopener">hackmd.io/@matplotlib/tr… Bring your questions - all are welcome!

Fun plotting challenge: Recreate this with @matplotlib

To use us using ggplot paradigms, see plotnine.org

Hey folks, have you been working w/ Matplotlib long enough to have interacted w/ our deceased founder John Hunter? For SciPy2026 reasons, we'd love to hear/read about your memories 🥰

Bayesian updating is one of the most powerful ideas in data science 🔄📊 ... and most people still underuse it! You start with a belief (prior)… then reality shows up (data)… and you update your mind (posterior)! 🚀 That’s it. That’s the magic. But here’s where it gets interesting 👇 Weak prior vs strong prior Little data vs lots of data Wrong assumptions vs robust inference Watch uncertainty move in real time! I built an interactive #Python @matplotlib dashboard so you can experience it: 👉 github.com/GeostatsGuy/Da… Play with it, break it, rebuild it 🧠⚡Stoked!

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2026-06-01 M6.2 22 km WSW of Scarcelli, Italy #earthquake 3D area historical seismicity. 243 km deep event in the southern Tyrrhenian subduction zone, here shown in a 10° x 10° x 700 km volume. Reference land contours are plotted in green. @matplotlib #CitizenScience

Another one! Made with #python #numpy #matplotlib and #marimo (and also #wigglystuff)

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@PaulGavrikov What are you finding difficult?

Why does it feel like I have to perform an exorcism every time I want to add a colorbar to @matplotlib subplots?

Tree-based gradient boosting is an ensemble method that builds a powerful prediction model by sequentially adding weak learners (often decision tree stumps). 🌲📈 To help my students really get it, I built a #Python @matplotlib interactive dashboard 🚀🐍 Step through each stump and watch the model update as the residuals and error evolve in real time! 🔥🎯 #MachineLearning #DataScience #AI #Python

📣 If you’re at #PyConUS2026 next week, catch @InessaPawson and @juanitagomezr at the Community Showcase on Sunday with flyers and stickers for #SciPy2026! 🙌 If you have questions about the conference or just want to connect with the community, this is your chance 🎉

@shreyanshmisra6 @michaelwaskom Congrats 🥳

Huge shoutout to my teammates Jinu, Shivansh, and Sonny - we called ourselves Team LLMao and I think that alone deserved an award. We built the analysis in Python, visualized in @matplotlib & seaborn (@michaelwaskom), presented to a panel of industry judges!

Now that datafests across the country have concluded, I wanted to share that my team won Best in Group at the Five College Datafest 2026!

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I’m stoked to teach density-based cluster analysis to my students! 🔥 Agglomerative clustering is a bottom-up hierarchical method: each point starts as its own cluster, then pairs of clusters are repeatedly merged based on similarity until one tree of clusters (a dendrogram) is formed 🌳 Very intuitive—it mirrors how we naturally perceive structure—like pointillism 🎨, where meaning emerges by progressively merging nearby points of similarity into coherent patterns! To help my students visualize density-based cluster analysis, I built an interactive #Python dashboard with @matplotlib 📊🚀

We have a pre-release we'd love y'all to test! Especially if you use non English scripts - a major part of this release is the overhaul of text and font processing to support modern font features, enabling full internationalization in all languages. github.com/matplotlib/mat…

it's a vibe

Skąd najlepiej widać Tatry? Analiza widoczności 329 szczytów Tatr (>2000 m n.p.m.) w promieniu 50 km. Dla każdego z 222 tys. heksagonów obliczono line-of-sight na modelu terenu Copernicus DEM 25m. @matplotlib @GdalOrg

Cool!