This gallery contains examples of the many things you can do with Matplotlib. Click on any image to see the full image and source code.
# Lines, bars and markers
# Images, contours and fields
# Subplots, axes and figures
# Pie and polar charts
# Text, labels and annotations
For more in-depth information about the colormaps available in matplotlib as well as a description of their properties, see the colormaps tutorial (opens new window).
# Shapes and collections
# Style sheets
# Axes Grid
# Axis Artist
# Event handling
Matplotlib supports event handling (opens new window) with a GUI neutral event model, so you can connect to Matplotlib events without knowledge of what user interface Matplotlib will ultimately be plugged in to. 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 have to mess with low level transformation details to go from canvas space to data space. Object picking examples are also included.
# Front Page
# 3D plotting
# Our Favorite Recipes
Here is a collection of short tutorials, examples and code snippets that illustrate some of the useful idioms and tricks to make snazzier figures and overcome some matplotlib warts.
These examples cover how different scales are handled in Matplotlib.
# Specialty Plots
# Ticks and spines
These examples cover the many representations of units in Matplotlib.
# Embedding Matplotlib in graphical user interfaces
You can embed Matplotlib directly into a user interface application by following the embedding_in_SOMEGUI.py examples here. Currently matplotlib supports wxpython, pygtk, tkinter and pyqt4/5.
When embedding Matplotlib in a GUI, you must use the Matplotlib API directly rather than the pylab/pyplot proceedural interface, so take a look at the examples/api directory for some example code working with the API.
Examples of how to write primitive, but GUI agnostic, widgets in matplotlib