Matplotlib

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Matplotlib

Matplotlib

@matplotlib

Python library for creating static, animated, & interactive visualizations. Chat w/ us @ https://t.co/QDNR5Khj9w Sponsored by @NumFocus

Katılım Mart 2017
112 Takip Edilen44K Takipçiler
Paul Gavrikov
Paul Gavrikov@PaulGavrikov·
Why does it feel like I have to perform an exorcism every time I want to add a colorbar to @matplotlib subplots?
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Michael Pyrcz🌻
Michael Pyrcz🌻@GeostatsGuy·
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
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SciPyConf
SciPyConf@SciPyConf·
📣 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 🎉
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Shreyansh Misra
Shreyansh Misra@shreyanshmisra6·
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!
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Shreyansh Misra
Shreyansh Misra@shreyanshmisra6·
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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Michael Pyrcz🌻
Michael Pyrcz🌻@GeostatsGuy·
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 📊🚀
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Matplotlib
Matplotlib@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…
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Marcin Szwagrzyk
Marcin Szwagrzyk@SzwagrzykMarcin·
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
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Michael Pyrcz🌻
Michael Pyrcz🌻@GeostatsGuy·
This week I told my students a hard truth: Your spatial data is probably biased, and yes… that means your statistics, and your models, and your decisions may be biased too. But I had good news! We can mitigate this with spatial declustering. To make sure they really understood, I built a new interactive #Python @matplotlib dashboard yesterday. Here’s what we explore: ✳️Sample on a regular grid (representative sampling) → the estimate converges to the true mean. ✳️Add infill samples in “good” locations → the mean becomes biased. ✳️Apply declustering weights → the statistics become far more robust under variable sampling density. You can experiment with it yourself. I just shared the full workflow on my #GitHub @ github.com/GeostatsGuy/Da…. Education changes lives. Let’s make spatial models better. #DataScience
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Matplotlib
Matplotlib@matplotlib·
Hey folks! Interested in GSOC? Unclear how to use AI properly? Want to contribute and it's all feeling a little ?! Join us for our monthly new contributors meeting and ask all the questions!
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Pawel Jastrzebski 🇵🇱 🇬🇧
There was a time I was recreating music album covers in @matplotlib for fun. I should get back to it. What cover do you think is a good material for a "plot😉"?
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