Examples — Matplotlib 3.5.2 Documentation

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Lines, bars and markers
- Infinite lines
- Bar chart with individual bar colors
- Bar chart with labels
- Stacked bar chart
- Grouped bar chart with labels
- Horizontal bar chart
- Broken horizontal bars
- CapStyle
- Plotting categorical variables
- Plotting the coherence of two signals
- Cross spectral density (CSD)
- Curve with error band
- Errorbar limit selection
- Errorbar subsampling
- EventCollection Demo
- Eventplot demo
- Filled polygon
- fill_between with transparency
- Fill the area between two lines
- Fill the area between two vertical lines
- Bar chart with gradients
- Hat graph
- Discrete distribution as horizontal bar chart
- JoinStyle
- Dashed line style configuration
- Lines with a ticked patheffect
- Linestyles
- Marker reference
- Markevery Demo
- Plotting masked and NaN values
- Multicolored lines
- Mapping marker properties to multivariate data
- Power spectral density (PSD)
- Scatter Demo2
- Scatter plot with histograms
- Scatter plot with masked values
- Marker examples
- Scatter plot with a legend
- Line plot
- Shade regions defined by a logical mask using fill_between
- Spectrum representations
- Stackplots and streamgraphs
- Stairs Demo
- Stem plot
- Step Demo
- Timeline with lines, dates, and text
- hlines and vlines
- Cross- and auto-correlation
Images, contours and fields
- Affine transform of an image
- Wind barbs
- Barcode
- Interactive adjustment of colormap range
- Colormap normalizations
- Colormap normalizations SymLogNorm
- Contour corner mask
- Contour Demo
- Contour image
- Contour Label Demo
- Contourf demo
- Contourf hatching
- Contourf and log color scale
- Contouring the solution space of optimizations
- BboxImage Demo
- Figimage Demo
- Annotated heatmap
- Image resampling
- Clipping images with patches
- Many ways to plot images
- Image with masked values
- Image nonuniform
- Blend transparency with color in 2D images
- Modifying the coordinate formatter
- Interpolations for imshow
- Contour plot of irregularly spaced data
- Layer images with alpha blending
- Visualize matrices with matshow
- Multiple images with one colorbar
- pcolor images
- pcolormesh grids and shading
- pcolormesh
- Streamplot
- QuadMesh Demo
- Advanced quiver and quiverkey functions
- Quiver Simple Demo
- Shading example
- Spectrogram
- Spy Demos
- Tricontour Demo
- Tricontour Smooth Delaunay
- Tricontour Smooth User
- Trigradient Demo
- Triinterp Demo
- Tripcolor Demo
- Triplot Demo
- Watermark image
Subplots, axes and figures
- Align labels and titles
- Programmatically control subplot adjustment
- Axes box aspect
- Axes Demo
- Controlling view limits using margins and sticky_edges
- Axes properties
- Axes zoom effect
- Draw regions that span an Axes
- Equal axis aspect ratio
- Axis label position
- Broken axis
- Custom Figure subclasses
- Resize Axes with constrained layout
- Resize Axes with tight layout
- Different scales on the same Axes
- Figure size in different units
- Figure labels: suptitle, supxlabel, supylabel
- Adjacent subplots
- Geographic Projections
- Combine two subplots using subplots and GridSpec
- GridSpec with variable sizes and spacing
- Gridspec for multi-column/row subplot layouts
- Nested Gridspecs
- Inverted axis
- Manage multiple figures in pyplot
- Secondary Axis
- Share axis limits and views
- Shared axis
- Figure subfigures
- Multiple subplots
- subplot2grid
- Subplots spacings and margins
- Create multiple subplots using plt.subplots
- Plots with different scales
- Zoom region inset Axes
Statistics
- Artist customization in box plots
- Box plots with custom fill colors
- Boxplots
- Box plot vs. violin plot comparison
- Separate calculation and plotting of boxplots
- Plot a confidence ellipse of a two-dimensional dataset
- Violin plot customization
- Errorbar function
- Different ways of specifying error bars
- Including upper and lower limits in error bars
- Create boxes from error bars using PatchCollection
- Hexagonal binned plot
- Histograms
- Bihistogram
- Cumulative distributions
- Demo of the histogram function's different histtype settings
- The histogram (hist) function with multiple data sets
- Histogram bins, density, and weight
- Multiple histograms side by side
- Time Series Histogram
- Violin plot basics
Pie and polar charts
- Pie charts
- Bar of pie
- Nested pie charts
- A pie and a donut with labels
- Bar chart on polar axis
- Polar plot
- Error bar rendering on polar axis
- Polar legend
- Scatter plot on polar axis
Text, labels and annotations
- Accented text
- Align y-labels
- Scale invariant angle label
- Angle annotations on bracket arrows
- Annotate transform
- Annotating a plot
- Annotate plots
- Annotate polar plots
- Arrow Demo
- Auto-wrap text
- Compose custom legends
- Date tick labels
- AnnotationBbox demo
- Using a text as a Path
- Text rotation mode
- The difference between \dfrac and \frac
- Format ticks using engineering notation
- Annotation arrow style reference
- Styling text boxes
- Figure legend demo
- Configure the font family
- Using ttf font files
- Font table
- Fonts demo (object-oriented style)
- Fonts demo (keyword arguments)
- Labelling subplots
- Legend using pre-defined labels
- Legend Demo
- Artist within an artist
- Convert texts to images
- Mathtext
- Mathematical expressions
- Math fontfamily
- Multiline
- Placing text boxes
- Concatenate text objects with different properties
- STIX Fonts
- Render math equations using TeX
- Text alignment
- Text properties
- Controlling style of text and labels using a dictionary
- Text rotation angle in data coordinates
- Title positioning
- Unicode minus
- Usetex text baseline
- Usetex font effects
- Text watermark
Color
- Color Demo
- Color by y-value
- Colors in the default property cycle
- Named color sequences
- Colorbar
- Colormap reference
- Create a colormap from a list of colors
- Selecting individual colors from a colormap
- List of named colors
- Ways to set a color's alpha value
Shapes and collections
- Arrow guide
- Reference for Matplotlib artists
- Line, Poly and RegularPoly Collection with autoscaling
- Compound path
- Dolphins
- Mmh Donuts!!!
- Ellipse with orientation arrow demo
- Ellipse Collection
- Ellipse Demo
- Drawing fancy boxes
- Hatch demo
- Hatch style reference
- Plot multiple lines using a LineCollection
- Circles, Wedges and Polygons
- PathPatch object
- Bezier curve
- Scatter plot
Style sheets
- Bayesian Methods for Hackers style sheet
- Dark background style sheet
- FiveThirtyEight style sheet
- ggplot style sheet
- Grayscale style sheet
- Petroff10 style sheet
- Solarized Light stylesheet
- Style sheets reference
Module - pyplot
- Simple plot
- Text and mathtext using pyplot
- Multiple lines using pyplot
- Two subplots using pyplot
Module - axes_grid1
- Anchored Direction Arrow
- Axes divider
- Demo Axes Grid
- Axes Grid2
- HBoxDivider and VBoxDivider demo
- Show RGB channels using RGBAxes
- Colorbar with AxesDivider
- Control the position and size of a colorbar with Inset Axes
- Per-row or per-column colorbars
- Axes with a fixed physical size
- ImageGrid cells with a fixed aspect ratio
- Inset locator demo
- Inset locator demo 2
- Make room for ylabel using axes_grid
- Parasite Simple
- Parasite Simple2
- Align histogram to scatter plot using locatable Axes
- Simple Anchored Artists
- Simple Axes Divider 1
- Simple axes divider 3
- Simple ImageGrid
- Simple ImageGrid 2
- Simple Axisline4
Module - axisartist
- Axis Direction
- axis_direction demo
- Axis line styles
- Curvilinear grid demo
- Demo CurveLinear Grid2
- floating_axes features
- floating_axis demo
- Parasite Axes demo
- Parasite axis demo
- Ticklabel alignment
- Ticklabel direction
- Simple axis direction
- Simple axis tick label and tick directions
- Simple axis pad
- Custom spines with axisartist
- Simple Axisline
- Simple Axisline3
Showcase
- Anatomy of a figure
- Firefox
- Integral as the area under a curve
- Shaded & power normalized rendering
- Pan/zoom events of overlapping axes
- Stock prices over 32 years
- XKCD
Animation
- Decay
- Animated histogram
- pyplot animation
- The Bayes update
- The double pendulum problem
- Animated image using a precomputed list of images
- Frame grabbing
- Multiple Axes animation
- Pause and resume an animation
- Rain simulation
- Animated 3D random walk
- Animated line plot
- Animated scatter saved as GIF
- Oscilloscope
- Matplotlib unchained
Event handling
- Close event
- Mouse move and click events
- Cross-hair cursor
- Data browser
- Figure/Axes enter and leave events
- Interactive functions
- Scroll event
- Keypress event
- Lasso Demo
- Legend picking
- Looking glass
- Path editor
- Pick event demo
- Pick event demo 2
- Polygon editor
- Pong
- Resampling Data
- Timers
- Trifinder Event Demo
- Viewlims
- Zoom modifies other Axes
Miscellaneous
- Anchored Artists
- Identify whether artists intersect
- Manual Contour
- Coords Report
- Custom projection
- Customize Rc
- AGG filter
- Ribbon box
- Add lines directly to a figure
- Fill spiral
- Findobj Demo
- Font indexing
- Font properties
- Building histograms using Rectangles and PolyCollections
- Hyperlinks
- Image thumbnail
- Plotting with keywords
- Matplotlib logo
- Multipage PDF
- Multiprocessing
- Packed-bubble chart
- Patheffect Demo
- 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 images in 3D
- Intersecting planes
- Parametric curve
- Lorenz attractor
- 2D and 3D Axes in same figure
- Automatic text offsetting
- Draw flat objects in 3D plot
- Generate 3D polygons
- 3D plot projection types
- 3D quiver plot
- Rotating a 3D plot
- 3D scatterplot
- 3D stem
- 3D plots as subplots
- 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
- Scales overview
- Asinh scale
- Loglog aspect
- Custom scale
- Log scale
- Logit scale
- Exploring normalizations
- Symlog scale
Specialty plots
- Hillshading
- Anscombe's quartet
- Hinton diagrams
- Ishikawa Diagram
- 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
- Align tick labels
- 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
- Annotation with units
- Artist tests
- Bar demo with units
- Group barchart with units
- Basic units
- Ellipse with units
- Evans test
- Radian ticks
- Inches and centimeters
- Unit handling
Embedding Matplotlib in graphical user interfaces
- CanvasAgg demo
- Embed in GTK3 with a navigation toolbar
- Embed in GTK3
- Embed in GTK4 with a navigation toolbar
- Embed in GTK4
- Embed in Qt
- Embed in Tk
- Embed in wx #2
- Embed in wx #3
- Embed in wx #4
- Embed in wx #5
- Embedding WebAgg
- Fourier Demo WX
- GTK3 spreadsheet
- GTK4 spreadsheet
- Display mathtext in WX
- Matplotlib with Glade 3
- mplcvd -- an example of figure hook
- pyplot with GTK3
- pyplot with GTK4
- SVG Histogram
- SVG Tooltip
- Tool Manager
- Embed in a web application server (Flask)
- Add a cursor in WX
Widgets
- Annotated cursor
- Buttons
- Check buttons
- Cursor
- Lasso Selector
- Menu
- Mouse Cursor
- Multicursor
- Select indices from a collection using polygon selector
- Polygon Selector
- Radio Buttons
- Image scaling using a RangeSlider
- Rectangle and ellipse selectors
- Slider
- Snap sliders to discrete values
- Span Selector
- Textbox
Userdemo
- Nested GridSpecs
- Simple Legend01
- Simple Legend02

Examples

Examples#

For an overview of the plotting methods we provide, see Plot types

This page contains example plots. Click on any image to see the full image and source code.

For longer tutorials, see our tutorials page. You can also find external resources and a FAQ in our user guide.

Tagging!

You can also browse the example gallery by tags.

Lines, bars and markers#

Infinite lines

Bar chart with individual bar colors

Bar chart with labels

Stacked bar chart

Grouped bar chart with labels

Horizontal bar chart

Broken horizontal bars

CapStyle

Plotting categorical variables

Plotting the coherence of two signals

Cross spectral density (CSD)

Curve with error band

Errorbar limit selection

Errorbar subsampling

EventCollection Demo

Eventplot demo

Filled polygon

fill_between with transparency

Fill the area between two lines

Fill the area between two vertical lines

Bar chart with gradients

Hat graph

Discrete distribution as horizontal bar chart

JoinStyle

Dashed line style configuration

Lines with a ticked patheffect

Linestyles

Marker reference

Markevery Demo

Plotting masked and NaN values

Multicolored lines

Mapping marker properties to multivariate data

Power spectral density (PSD)

Scatter Demo2

Scatter plot with histograms

Scatter plot with masked values

Marker examples

Scatter plot with a legend

Line plot

Shade regions defined by a logical mask using fill_between

Spectrum representations

Stackplots and streamgraphs

Stairs Demo

Stem plot

Step Demo

Timeline with lines, dates, and text

hlines and vlines

Cross- and auto-correlation

Images, contours and fields#

Affine transform of an image

Wind barbs

Barcode

Interactive adjustment of colormap range

Colormap normalizations

Colormap normalizations SymLogNorm

Contour corner mask

Contour Demo

Contour image

Contour Label Demo

Contourf demo

Contourf hatching

Contourf and log color scale

Contouring the solution space of optimizations

BboxImage Demo

Figimage Demo

Annotated heatmap

Image resampling

Clipping images with patches

Many ways to plot images

Image with masked values

Image nonuniform

Blend transparency with color in 2D images

Modifying the coordinate formatter

Interpolations for imshow

Contour plot of irregularly spaced data

Layer images with alpha blending

Visualize matrices with matshow

Multiple images with one colorbar

pcolor images

pcolormesh grids and shading

pcolormesh

Streamplot

QuadMesh Demo

Advanced quiver and quiverkey functions

Quiver Simple Demo

Shading example

Spectrogram

Spy Demos

Tricontour Demo

Tricontour Smooth Delaunay

Tricontour Smooth User

Trigradient Demo

Triinterp Demo

Tripcolor Demo

Triplot Demo

Watermark image

Subplots, axes and figures#

Align labels and titles

Programmatically control subplot adjustment

Axes box aspect

Axes Demo

Controlling view limits using margins and sticky_edges

Axes properties

Axes zoom effect

Draw regions that span an Axes

Equal axis aspect ratio

Axis label position

Broken axis

Custom Figure subclasses

Resize Axes with constrained layout

Resize Axes with tight layout

Different scales on the same Axes

Figure size in different units

Figure labels: suptitle, supxlabel, supylabel

Adjacent subplots

Geographic Projections

Combine two subplots using subplots and GridSpec

GridSpec with variable sizes and spacing

Gridspec for multi-column/row subplot layouts

Nested Gridspecs

Inverted axis

Manage multiple figures in pyplot

Secondary Axis

Share axis limits and views

Shared axis

Figure subfigures

Multiple subplots

subplot2grid

Subplots spacings and margins

Create multiple subplots using plt.subplots

Plots with different scales

Zoom region inset Axes

Statistics#

Artist customization in box plots

Box plots with custom fill colors

Boxplots

Box plot vs. violin plot comparison

Separate calculation and plotting of boxplots

Plot a confidence ellipse of a two-dimensional dataset

Violin plot customization

Errorbar function

Different ways of specifying error bars

Including upper and lower limits in error bars

Create boxes from error bars using PatchCollection

Hexagonal binned plot

Histograms

Bihistogram

Cumulative distributions

Demo of the histogram function's different histtype settings

The histogram (hist) function with multiple data sets

Histogram bins, density, and weight

Multiple histograms side by side

Time Series Histogram

Violin plot basics

Pie and polar charts#

Pie charts

Bar of pie

Nested pie charts

A pie and a donut with labels

Bar chart on polar axis

Polar plot

Error bar rendering on polar axis

Polar legend

Scatter plot on polar axis

Text, labels and annotations#

Accented text

Align y-labels

Scale invariant angle label

Angle annotations on bracket arrows

Annotate transform

Annotating a plot

Annotate plots

Annotate polar plots

Arrow Demo

Auto-wrap text

Compose custom legends

Date tick labels

AnnotationBbox demo

Using a text as a Path

Text rotation mode

The difference between \dfrac and \frac

Format ticks using engineering notation

Annotation arrow style reference

Styling text boxes

Figure legend demo

Configure the font family

Using ttf font files

Font table

Fonts demo (object-oriented style)

Fonts demo (keyword arguments)

Labelling subplots

Legend using pre-defined labels

Legend Demo

Artist within an artist

Convert texts to images

Mathtext

Mathematical expressions

Math fontfamily

Multiline

Placing text boxes

Concatenate text objects with different properties

STIX Fonts

Render math equations using TeX

Text alignment

Text properties

Controlling style of text and labels using a dictionary

Text rotation angle in data coordinates

Title positioning

Unicode minus

Usetex text baseline

Usetex font effects

Text watermark

Color#

For a description of the colormaps available in Matplotlib, see the colormaps tutorial.

Color Demo

Color by y-value

Colors in the default property cycle

Named color sequences

Colorbar

Colormap reference

Create a colormap from a list of colors

Selecting individual colors from a colormap

List of named colors

Ways to set a color's alpha value

Shapes and collections#

Arrow guide

Reference for Matplotlib artists

Line, Poly and RegularPoly Collection with autoscaling

Compound path

Dolphins

Mmh Donuts!!!

Ellipse with orientation arrow demo

Ellipse Collection

Ellipse Demo

Drawing fancy boxes

Hatch demo

Hatch style reference

Plot multiple lines using a LineCollection

Circles, Wedges and Polygons

PathPatch object

Bezier curve

Scatter plot

Style sheets#

Bayesian Methods for Hackers style sheet

Dark background style sheet

FiveThirtyEight style sheet

ggplot style sheet

Grayscale style sheet

Petroff10 style sheet

Solarized Light stylesheet

Style sheets reference

Module - pyplot#

Simple plot

Text and mathtext using pyplot

Multiple lines using pyplot

Two subplots using pyplot

Module - axes_grid1#

Anchored Direction Arrow

Axes divider

Demo Axes Grid

Axes Grid2

HBoxDivider and VBoxDivider demo

Show RGB channels using RGBAxes

Colorbar with AxesDivider

Control the position and size of a colorbar with Inset Axes

Per-row or per-column colorbars

Axes with a fixed physical size

ImageGrid cells with a fixed aspect ratio

Inset locator demo

Inset locator demo 2

Make room for ylabel using axes_grid

Parasite Simple

Parasite Simple2

Align histogram to scatter plot using locatable Axes

Simple Anchored Artists

Simple Axes Divider 1

Simple axes divider 3

Simple ImageGrid

Simple ImageGrid 2

Simple Axisline4

Module - axisartist#

Axis Direction

axis_direction demo

Axis line styles

Curvilinear grid demo

Demo CurveLinear Grid2

floating_axes features

floating_axis demo

Parasite Axes demo

Parasite axis demo

Ticklabel alignment

Ticklabel direction

Simple axis direction

Simple axis tick label and tick directions

Simple axis pad

Custom spines with axisartist

Simple Axisline

Simple Axisline3

Showcase#

Anatomy of a figure

Firefox

Integral as the area under a curve

Shaded & power normalized rendering

Pan/zoom events of overlapping axes

Stock prices over 32 years

XKCD

Animation#

Decay

Animated histogram

pyplot animation

The Bayes update

The double pendulum problem

Animated image using a precomputed list of images

Frame grabbing

Multiple Axes animation

Pause and resume an animation

Rain simulation

Animated 3D random walk

Animated line plot

Animated scatter saved as GIF

Oscilloscope

Matplotlib unchained

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.

Close event

Mouse move and click events

Cross-hair cursor

Data browser

Figure/Axes enter and leave events

Interactive functions

Scroll event

Keypress event

Lasso Demo

Legend picking

Looking glass

Path editor

Pick event demo

Pick event demo 2

Polygon editor

Pong

Resampling Data

Timers

Trifinder Event Demo

Viewlims

Zoom modifies other Axes

Miscellaneous#

Anchored Artists

Identify whether artists intersect

Manual Contour

Coords Report

Custom projection

Customize Rc

AGG filter

Ribbon box

Add lines directly to a figure

Fill spiral

Findobj Demo

Font indexing

Font properties

Building histograms using Rectangles and PolyCollections

Hyperlinks

Image thumbnail

Plotting with keywords

Matplotlib logo

Multipage PDF

Multiprocessing

Packed-bubble chart

Patheffect Demo

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 images in 3D

Intersecting planes

Parametric curve

Lorenz attractor

2D and 3D Axes in same figure

Automatic text offsetting

Draw flat objects in 3D plot

Generate 3D polygons

3D plot projection types

3D quiver plot

Rotating a 3D plot

3D scatterplot

3D stem

3D plots as subplots

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.

Scales overview

Asinh scale

Loglog aspect

Custom scale

Log scale

Logit scale

Exploring normalizations

Symlog scale

Specialty plots#

Hillshading

Anscombe's quartet

Hinton diagrams

Ishikawa Diagram

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#

Align tick labels

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 units in Matplotlib.

Annotation with units

Artist tests

Bar demo with units

Group barchart with units

Basic units

Ellipse with units

Evans test

Radian ticks

Inches and centimeters

Unit handling

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 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 interface, so take a look at the examples/api directory for some example code working with the API.