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 …

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 …

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 …

(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 …

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 …

Matplotlib's documentation and examples use both the OO and the pyplot styles. In general, we suggest using the OO style, particularly for complicated plots, and functions and scripts that are intended to …

matplotlib.pyplot # matplotlib.pyplot is a state-based interface to matplotlib. It provides an implicit, MATLAB-like, way of plotting. It also opens figures on your screen, and acts as the figure GUI …

Matplotlib interfaces # Matplotlib has two interfaces. See Matplotlib Application Interfaces (APIs) for a more detailed description of both and their recommended use cases. Axes interface (object-based, …

Plot types # Overview of many common plotting commands provided by Matplotlib. See the gallery for more examples and the tutorials page for longer examples.