
Matplotlib — Visualization with Python
Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python. Matplotlib makes easy things easy and hard things possible. Create publication quality plots. …
Examples — Matplotlib 3.10.8 documentation
Download all examples in Python source code: gallery_python.zip Download all examples in Jupyter notebooks: gallery_jupyter.zip
Pyplot tutorial — Matplotlib 3.10.8 documentation
The r preceding the title string is important -- it signifies that the string is a raw string and not to treat backslashes as python escapes. matplotlib has a built-in TeX expression parser and layout engine, …
Plot types — Matplotlib 3.10.8 documentation
3D and volumetric data # Plots of three-dimensional (x, y, z), surface f (x, y) = z, and volumetric V x, y, z data using the mpl_toolkits.mplot3d library.
3D plotting — Matplotlib 3.10.8 documentation
Plot contour (level) curves in 3D using the extend3d option
Animations using Matplotlib — Matplotlib 3.10.8 documentation
PillowWriter - Uses the Pillow library to create the animation. HTMLWriter - Used to create JavaScript-based animations. Pipe-based writers - FFMpegWriter and ImageMagickWriter are pipe based …
The Python Graph Gallery: hundreds of python charts with reproducible ...
Jul 24, 2021 · The Python Graph Gallery is a website that displays hundreds of chart examples made with python. It goes from very basic to highly customized examples and is based on common viz …
Installation — Matplotlib 3.10.8 documentation
Power users on macOS will likely want one of homebrew or macports on their system to install open source software packages, but it is perfectly possible to use these systems with another source for …
Quick start guide — Matplotlib 3.10.8 documentation
Note that if you want to install these as a python package, or any other customizations you could use one of the many templates on the web; Matplotlib has one at mpl-cookiecutter
Interactive figures — Matplotlib 3.10.8 documentation
Interactive figures # Interactivity can be invaluable when exploring plots. The pan/zoom and mouse-location tools built into the Matplotlib GUI windows are often sufficient, but you can also use the …