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Developer tools · #matplotlib
Stop forcing your data into square grids. Learn how to use Matplotlib's GridSpec to create asymmetrical, professional dashboards with spanned axes and optimized layouts.
Stop fighting with Matplotlib's global state. Learn how to use the Object-Oriented API to manage Figures and Axes for precise, scalable multi-plot layouts.
Stop fighting with the 'current active plot' in Matplotlib. Learn how to use the Object-Oriented API to manage complex multi-plot layouts with precision and predictability.
Learn how Matplotlib's decoupled backend architecture prevents GUI crashes in headless server environments by separating the Figure state from the Renderer.
Matplotlib's constrained_layout engine ends the trial-and-error of tight_layout and subplots_adjust. Here's how it works, a 2x2 example, and when not to use it.