This repository contains the handout (and the source of the handout) for the tutorial "Creating publication-quality with Python and Matplotlib", given at the Alife 2014 conference. Contributions are ...

For new engineers, I will explain how to create basic graphs using Matplotlib with illustrations! 🎨 What is this code doing? import matplotlib.pyplot as plt ...

This chapter covers the core architecture of Matplotlib: how figures, axes, and artists work together, and how you create your first plots. The *Figure* is the top-level container that holds all plot ...

We’re just going to cover the basics here. Why? Because Matplotlib has thousands of features and it has excellent documentation. So we’re just going to dip a toe in the waters.

Last time, we introduced NumPy (a high-speed calculation engine) and Pandas (a versatile data knife). 👉 Previous article: 🔢 Introduction to the "Two Major Tools" of Data Analysis: NumPy and Pandas!