ez-animate

A high-level, declarative Python package for creating common Matplotlib animations with minimal boilerplate code.

Project Goals

• Simplify Matplotlib animations: No need to write custom init/update functions or manage state manually.
• For data scientists, analysts, educators, and researchers: Quickly create standard animations for analysis, presentations, and teaching.
• Minimal code, maximum clarity: Focus on your data and story, not boilerplate.

See the navigation for installation, usage, API, and contribution details.

Example Animations

Regression Animation with SGD

This animation demonstrates SGD regression, showing how the model fits the data as the max_iter parameter increases. You can see how the model's predictions with each iteration change, and how the metrics evolve over time.

Exponential Moving Average Forecast Animation

This animation illustrates how the Exponential Moving Average (EMA) forecast evolves over time, highlighting the smoothing effect of different alpha values.

Clustering Animation with KMeans

This animation visualizes KMeans clustering, showing how the centroids and clusters change as the number of iterations increases, showcasing the algorithm's convergence process.