Examples #

Matplotlib supportsevent handling witha GUI neutral event model, so you can connect to Matplotlib events withoutknowledge of what user interface Matplotlib will ultimately be plugged in to.This has two advantages: the code you write will be more portable, andMatplotlib events are aware of things like data coordinate space and whichaxes the event occurs in so you don't have to mess with low leveltransformation details to go from canvas space to data space. Object pickingexamples are also included.

Close event

Mouse move and click events

Cross-hair cursor

Data browser

Figure/Axes enter and leave events

Interactive functions

Zoom modifies other Axes

Miscellaneous#

Anchored Artists

Identify whether artists intersect

Add lines directly to a figure

Building histograms using Rectangles and PolyCollections

Hyperlinks

Image thumbnail

Plotting with keywords

Print image to stdout

Rasterization for vector graphics

Set and get properties

Apply SVG filter to a line

SVG filter pie

Table Demo

TickedStroke patheffect

transforms.offset_copy

Zorder Demo

3D plotting#

Plot 2D data on 3D plot

Demo of 3D bar charts

Clip the data to the axes view limits

Create 2D bar graphs in different planes

3D box surface plot

Plot contour (level) curves in 3D

Plot contour (level) curves in 3D using the extend3d option

Project contour profiles onto a graph

Filled contours

Project filled contour onto a graph

Custom hillshading in a 3D surface plot

3D errorbars

Fill between 3D lines

Fill under 3D line graphs

Create 3D histogram of 2D data

2D and 3D Axes in same figure

Automatic text offsetting

Draw flat objects in 3D plot

Generate 3D polygons

3D plot projection types

3D surface (colormap)

3D surface (solid color)

3D surface (checkerboard)

3D surface with polar coordinates

Text annotations in 3D

Triangular 3D contour plot

Triangular 3D filled contour plot

Triangular 3D surfaces

More triangular 3D surfaces

Primary 3D view planes

3D voxel / volumetric plot

3D voxel plot of the NumPy logo

3D voxel / volumetric plot with RGB colors

3D voxel / volumetric plot with cylindrical coordinates

3D wireframe plot

Animate a 3D wireframe plot

3D wireframe plots in one direction

Scales#

These examples cover how different scales are handled in Matplotlib.

Exploring normalizations

Symlog scale

Specialty plots#

Left ventricle bullseye

MRI with EEG

Radar chart (aka spider or star chart)

The Sankey class

Long chain of connections using Sankey

Rankine power cycle

SkewT-logP diagram: using transforms and custom projections

Topographic hillshading

Spines#

Spines

Spine placement

Dropped spines

Multiple y-axis with Spines

Centered spines with arrows

Ticks#

Automatically setting tick positions

Center labels between ticks

Colorbar Tick Labelling

Custom Ticker

Format date ticks using ConciseDateFormatter

Date Demo Convert

Placing date ticks using recurrence rules

Date tick locators and formatters

Custom tick formatter for time series

Date precision and epochs

Dollar ticks

SI prefixed offsets and natural order of magnitudes

Fig Axes Customize Simple

Major and minor ticks

Multilevel (nested) ticks

The default tick formatter

Tick formatters

Tick locators

Set default y-axis tick labels on the right

Setting tick labels from a list of values

Move x-axis tick labels to the top

Rotated tick labels

Fixing too many ticks

Units#

These examples cover the many representations of unitsin Matplotlib.

Annotation with units

Artist tests

Bar demo with units

Group barchart with units

Inches and centimeters

Unit handling

Embedding Matplotlib in graphical user interfaces#

You can embed Matplotlib directly into a user interface application byfollowing the embedding_in_SOMEGUI.py examples here. CurrentlyMatplotlib supports PyQt/PySide, PyGObject, Tkinter, and wxPython.

When embedding Matplotlib in a GUI, you must use the Matplotlib APIdirectly rather than the pylab/pyplot procedural interface, so take alook at the examples/api directory for some example code working withthe API.