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. …

Cheatsheets Matplotlib 3.10.8 documentation # Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations. Install # pip pip install matplotlib conda conda install -c …

matplotlib.pyplot is a collection of functions that make matplotlib work like MATLAB. Each pyplot function makes some change to a figure: e.g., creates a figure, creates a plotting area in a figure, plots some …

Currently Matplotlib supports PyQt/PySide, PyGObject, Tkinter, and wxPython. When embedding Matplotlib in a GUI, you must use the Matplotlib API directly rather than the pylab/pyplot procedural …

(Source code, 2x.png, png) If a plot does not show up please check Troubleshooting. Where to go next # Check out Plot types to get an overview of the types of plots you can create with Matplotlib. Learn …

Matplotlib can handle plotting arrays of dates and arrays of strings, as well as floating point numbers. These get special locators and formatters as appropriate.

Using Matplotlib # Quick start guide A simple example Parts of a Figure Types of inputs to plotting functions Coding styles Styling Artists Labelling plots Axis scales and ticks Color mapped data …

Tutorials # This page contains a few tutorials for using Matplotlib. For the old tutorials, see below. For shorter examples, see our examples page. You can also find external resources and a FAQ in our …

If you would like to contribute to Matplotlib or otherwise need to install the latest development code, please follow the instructions in Setting up Matplotlib for development.

matplotlib.pyplot.plot # matplotlib.pyplot.plot(*args, scalex=True, scaley=True, data=None, **kwargs) [source] # Plot y versus x as lines and/or markers. Call signatures: