
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 …
Matplotlib cheatsheets — Visualization with Python
Contribute # Issues, suggestions, or pull-requests gratefully accepted at matplotlib/cheatsheets
Examples — Matplotlib 3.10.7 documentation
This has two advantages: the code you write will be more portable, and Matplotlib events are aware of things like data coordinate space and which axes the event occurs in so you don't …
Timeline with lines, dates, and text - Matplotlib
Timeline with lines, dates, and text # How to create a simple timeline using Matplotlib release dates. Timelines can be created with a collection of dates and text. In this example, we show …
Pyplot tutorial — Matplotlib 3.10.7 documentation
An example of four plots with the same data and different scales for the y-axis is shown below.
Tutorials — Matplotlib 3.10.7 documentation
Download all examples in Python source code: tutorials_python.zip Download all examples in Jupyter notebooks: tutorials_jupyter.zip
Animations using Matplotlib — Matplotlib 3.10.7 documentation
The following table shows a few plotting methods, the artists they return and some commonly used set_* methods that update the underlying data. While updating data is the most common …
The Python Graph Gallery: hundreds of python charts with …
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 …
History — Matplotlib 3.10.7 documentation
Matplotlib is a library for making 2D plots of arrays in Python. Although it has its origins in emulating the MATLAB graphics commands, it is independent of MATLAB, and can be used in …
Plot types — Matplotlib 3.10.7 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.