#Matplotlib

x>0 breaks the symmetry of the eigenvalues distribution. Made with #python, #matplotlib and #numpy.

Matplotlib Real time Plot Animation Tutorial using FuncAnimation() and Python for Beginners #matplotlib #Python

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

Another one! "My God, it's full of .....eigenvalues!" Made with #python #mlx #matplotlib #marimo

Eigenvalues of 10_000_000 3x3 random matrices. #rmt

Partial sums of geometric series. Made with #Python #NumPy #Matplotlib inside a #marimo notebook.

This one is my favorite. Roots of parametric polynomials animation. Made with #python, #matplotlib, #numpy and #sympy.

Roots of parametric polynomials animation. Made with #python, #matplotlib, #numpy and #sympy.

Another one, with parameters on a torus. Made with #python, #matplotlib and #numpy.

Each blob is an eigenvalue. At every frame, I apply small random perturbations and compute eigenvalues each time, this builds the blobs. A real parameter t drives the animation. Thanks to @reidatcheson for making me think about pseudospectra. Made with #python #numpy #matplotlib

Made with #python, #matplotlib and #numpy.

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

From mazes to bacteria like structures, the Gray-Scott reaction-diffusion model reveals how small tweaks to diffusion rates (Du, Dv) and reaction parameters (F, k) produce different emergent morphologies. Mathematical beauty in action! Made with #python #matplotlib #mlx

Roots of parametric polynomials animation. Made with #python, #matplotlib, #numpy and #sympy.

The two blobs show the eigenvalues of a 2×2 matrix. At every frame, I apply small random perturbations to the matrix entries and compute eigenvalues, this builds the blobs. A real parameter t drives the animation. Made with #python #numpy #matplotlib

Dancing roots of parametric polynomials. Made with #python, #matplotlib, #numpy and #sympy.

Polynomial roots. Made with #python, #matplotlib and #numpy.

Polynomial roots. Made with #python, #matplotlib and #numpy.

Simulation of multiscale Turing patterns. Made with #Python, #Matplotlib, and #NumPy.

Take two large random matrices and linearly interpolate between them at several hundred steps. Compute the eigenvalues for each interpolated matrix, then plot them in the complex plane. The result is shown here. Made with #python #numpy #matplotlib

Build a Data Visualization Dashboard in Python and Matplotlib #python #matplotlib #tkinter