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Using Matplotlib — Matplotlib 3.12.0.dev731+g2fb04d1a6 documentation
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[Matplotlib 3.12.0.dev731+g2fb04d1a6 documentation - Home]
[Matplotlib 3.12.0.dev731+g2fb04d1a6 documentation - Home]
Plot types
User guide
Tutorials
Examples
Reference
Contribute
Releases
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Discourse
GitHub
Plot types
User guide
Tutorials
Examples
Reference
Contribute
Releases
System Settings
Light
Dark
Choose version
Gitter
Discourse
GitHub
Collapse Sidebar
Expand Sidebar
Section Navigation
Quick start guide
Frequently Asked Questions
Figures and backends
Introduction to figures
Output backends
Matplotlib Application Interfaces (APIs)
Interacting with figures
Interactive figures and asynchronous programming
Event handling
Writing a backend -- the pyplot interface
Axes and subplots
Introduction to Axes (or Subplots)
Arranging multiple Axes in a Figure
Placing colorbars
Axis autoscaling
Axis scales
Axis ticks
Plotting dates and strings
Legends
Subplot mosaic
Constrained layout guide
Tight layout guide (mildly discouraged)
Artists
Introduction to Artists
Automated color cycle
Optimizing Artists for performance
Paths
Path effects guide
Understanding the extent keyword argument of imshow
Transformations Tutorial
Matplotlib configuration - rcParams
Customizing Matplotlib with style sheets and rcParams
Colors
Specifying colors
Blending and compositing artists
Blending and compositing groups of artists
Customized Colorbars Tutorial
Creating Colormaps in Matplotlib
Colormap normalization
Choosing Colormaps in Matplotlib
Text
Annotations
Fonts in Matplotlib
Writing mathematical expressions
Text rendering with XeLaTeX/LuaLaTeX via the
pgf
backend
Text in Matplotlib
Text properties and layout
Text rendering with LaTeX
Animations using Matplotlib
Animations using Matplotlib
Faster rendering by using blitting
User Toolkits
The axisartist toolkit
The axes_grid1 toolkit
The mplot3d toolkit
Getting started
Installation
Environment variables
Dependencies
Glossary
Using Matplotlib
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
Working with multiple Figures and Axes
More reading
Frequently Asked Questions
Figures and backends
Introduction to figures
Output backends
Matplotlib Application Interfaces (APIs)
Interacting with figures
Interactive figures and asynchronous programming
Event handling
Writing a backend -- the pyplot interface
Axes and subplots
Introduction to Axes (or Subplots)
Arranging multiple Axes in a Figure
Placing colorbars
Axis autoscaling
Axis scales
Axis ticks
Plotting dates and strings
Legends
Subplot mosaic
Constrained layout guide
Tight layout guide (mildly discouraged)
Artists
Introduction to Artists
Automated color cycle
Optimizing Artists for performance
Paths
Path effects guide
Understanding the extent keyword argument of imshow
Transformations Tutorial
Matplotlib configuration - rcParams
Customizing Matplotlib with style sheets and rcParams
Runtime rc settings
Using style sheets
The
matplotlibrc
file
Colors
Specifying colors
Blending and compositing artists
Blending and compositing groups of artists
Customized Colorbars Tutorial
Creating Colormaps in Matplotlib
Colormap normalization
Choosing Colormaps in Matplotlib
Text
Annotations
Fonts in Matplotlib
Writing mathematical expressions
Text rendering with XeLaTeX/LuaLaTeX via the
pgf
backend
Text in Matplotlib
Text properties and layout
Default Font
Text rendering with LaTeX
Animations using Matplotlib
Animations using Matplotlib
Faster rendering by using blitting
User Toolkits
The axisartist toolkit
The axes_grid1 toolkit
The mplot3d toolkit
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