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目录

Lines, bars and markers

Images, contours and fields

Subplots, axes and figures

Statistics

Pie and polar charts

Text, labels and annotations

Pyplot

Color

For more in-depth information about the colormaps available in matplotlib as well as a description of their properties, see the colormaps tutorial.

Shapes and collections

Style sheets

Axes Grid

Axis Artist

Showcase

Animation

Event handling

Matplotlib supports event handling 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

Miscellaneous

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.

Scales

These examples cover how different scales are handled in Matplotlib.

Specialty Plots

Ticks and spines

Units

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.

Userdemo

Widgets

Examples of how to write primitive, but GUI agnostic, widgets in matplotlib