Overview: Matplotlib mistakes often come from poor layout, unclear labels, and wrong scale choices, not from the data ...

Minimalist plotting for Python, inspired by Edward Tufte’s principles of data visualization. Maximising the data–ink ratio: remove non-essential lines, marks, and colours. Content-driven spines and ...

A hands‑on, step‑by‑step Python Matplotlib tutorial—learn to create, customize, and optimize publication‑quality plots from basic charts to advanced visualizations. Welcome to the Matplotlib Tutorial!

We use matplotlib for plotting in python. We also have to convert SymPy matrices to NumPy arrays prior to plotting. Therefore, we prefer to define vectors as NumPy arrays if we intend to just plot ...

We use matplotlib for plotting in python. To have some more control over the coordinate axis we'll use .subplots. The first few lines of code just change the plot from a bounding box to a set of ...