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Matplotlib官方参考文档 Matplotlib Release 3.0.3 John Hunter, Darren Dale, Eric Firing, Michael Droettboom February 28, 2019
CONTENTS 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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wu_min 挺好的,介绍描述的比较清楚,如release 3.0.3等等,没到官方去找,之前看的是1.2.1, (不像其他下载积分高,有的介绍乱七八糟的、翻译成中文之后不知道是什么东西,基本不会去下载它)
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