Level up your data viz skills! In this quick tutorial, you’ll learn how to create a Hexbin (hexagonal binning) plot in Python using Matplotlib to visualize dense scatter data with clear color-coded density. We’ll cover why hexbin > scatter for large datasets, how to tune gridsize, add a colorbar, and style labels for publication-ready plots. Perfect for data science, ML, and EDA.<br /><br />🎯 What you’ll learn<br />• What a hexbin plot is and when to use it<br />• Creating a hexbin plot with Matplotlib<br />• Tuning gridsize and colormap for readability<br />• Adding titles, labels, and a colorbar<br /><br />🧰 Prerequisites<br />Python 3.x, NumPy, Matplotlib<br /><br />⏱️ Timestamps<br />00:00 Intro<br />00:25 Why Hexbin<br />01:10 Setup & Data<br />02:05 Plot & Parameters<br />03:20 Colorbar & Labels<br />04:10 Tips & Wrap-up<br /><br />📂 Code & notebook: in the description/pinned comment<br />📎 Sample libs: matplotlib, numpy<br /><br />✅ Use cases: big scatter datasets, anomaly spotting, density visualization<br /><br />#python #matplotlib #dataviz #hexbin #datascience #EDA #numpy #machinelearning
