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详细说明:Matplotlib官方参考文档
Matplotlib Release 3.0.3
John Hunter, Darren Dale, Eric Firing, Michael Droettboom
February 28, 2019CONTENTS
User's Guide
Installing
2 Tutorials
3 Interactive plots
353
4 What's new in Matplotlib 3.0.3
369
5 New in Matplotlib 3.0.0
371
6 Previous whats new
377
7 History
537
8 Github stats
539
g License
557
10 Credits
561
II The Matplotlib FAQ
565
11Installation
567
12 How-to
571
13 Troubleshooting
585
14 Environment variables
589
15 Working with Matplotlib in Virtual environments
591
16 Working with Matplotlib on OSX
593
III The Matplotlib API
595
17 API Overview
597
18API Changes
599
19 Modules
669
20Toolkits
1865
Iy External resources
1979
21 Books, Chapters and articles
1981
22 Videos
1983
23 Tutorials
1985
v Third party packages
1987
24 Mapping toolkits
1991
25 Declarative libraries
1993
26 Specialty plots
27Interactivity
1999
28 Miscellaneous
2001
VI The Matplotlib Developers Guide
2005
29 Contributing
2007
30 Developer's tips for testing
2015
31 Writing documentation
2021
32 Plot directive documentation
2037
33 Developer's guide for creating scales and transformations
2041
34 Working with Matplotlib source code
2045
35 Reviewers guideline
2065
36 Release guide
2069
37 Minimum Version of Dependencies Policy
2075
38 Matplotlib Enhancement Proposals
2077
39 Licenses
2137
40 Default Color changes
2139
VII Glossary
2143
Bibliography
2147
thon module index
2149
Part i
Users guide
CHAPTER
ONE
INSTALLING
Note: If you wish to contribute to the project, it's recommended you install the latest devel
opment version
Contents
alling
Installing an official release
k macos
Test data
Third-party distributions of matplotlib
k Scientific Python Distributions
Linux: using your package manager
Installing from source
* Dependencies
Building on linux
k Building on macoS
k Building on Windows
Wheel builds using conda packages
Conda packages
1.1 Installing an official release
Matplotlib and its dependencies are available as wheel packages for macOS, Windows and
Linux distributions
python -m pip install -u pip
python -m pip install
U matplotlib
Matplotlib, release 3.0.3
Note: The following backends work out of the box: Agg, ps, pdf, svg and TkAgg
For support of other GUI frameworks, LaTeX rendering, saving animations and a larger se
lection of file formats you may need to install additional dependencies
Although not required, we suggest also installing IPython for interactive use. To easily install
a complete Scientific Python stack, see Scientific Python Distributions below
1.1.1 macOs
To use the native osx backend you will need a framework build build of Python
1.1.2 Test data
The wheels(. whl)on the PyPi download page do not contain test data or example code
If you want to try the many demos that come in the Matplotlib source distribution, download
the *.tar. gz file and look in the examples subdirectory
To run the test suite
extract the lib/matplotlib/tests or lib/mpl_toolkits/tests directories from the source
distribution
install test dependencies: pytest, Pillow, MiKTeX, ghost. Script, ffmpeg, avconv, Im-
ageMagick, and Inkscape
run python -mpytest
1.2 Third-party distributions of Matplotlib
1.2.1 Scientific Python Distributions
Anaconda and Canopy and ActiveState are excellent choices that just workout of the box for
Windows, macos and common Linux platforms. WinPython is an option for windows users
All of these distributions include Matplotlib and lots of other useful(data) science tools
1.2.2 Linux: using your package manager
If you are on Linux, you might prefer to use your package manager. Matplotlib is packaged
for almost every major linux distribution
Debian/Ubuntu: sudo apt-get install python3-matplotlib
Fedora: sudo dnf install python3-matplotlib
Red Hat: sudo yum install python3-matplotlib
Arch: sudo pacman -S python-matplotllb
Chapter 1. Installing
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