Python可视化|Matplotlib38-Matplotlib官方Cheat sheet（上篇）
"pythonic生物人"的第88篇分享
本文分享Matplotlib官方速查表（Cheat sheet）。
文章速览
1、Matplotlib速查表（完整版）
2、Matplotlib速查表（入门版）
3、Matplotlib速查表（进阶版）
4、Matplotlib速查表（tips & tricks）
5、资源获取途径
0、资源作者简介
I’m a researcher in computational cognitive neuroscience 【神经生物学领域前辈】at Inria and the Institute of Neurodegenerative Diseases (Bordeaux, France). I’m investigating decision making, learning and cognition using computational models of the brain and distributed, numerical and adaptive computing, a.k.a. artificial neural networks and machine learning. My research aims to irrigate the fields of philosophy with regard to the mind-body problem, medicine to account for the normal and pathological functioning of the brain and the digital sciences to offer alternative computing paradigms.
Beside neuroscience and philosophy, I’m also interested in open and reproducible science (I’ve co-founded ReScience C with Konrad Hinsen and wrote the article Transforming Code into Scientific Contribution), scientific visualization (I’ve created glumpy, co-created VisPy and authored the popular Ten Simple Rules for Better Figures article), Science outreach (e.g. Why your cat is lousy at chess?) and computer graphics (especially digital typography).
1、Matplotlib速查表（完整版）
2、Matplotlib速查表（入门版）
Matplotlib is a library for making 2D plots in Python. It is designed with the philosophy that you should be able to create simple plots with just a few commands:
3、Matplotlib速查表（进阶版）
A matplotlib figure is composed of a hierarchy of elements that forms the actual figure. Each element can be modified.
4、Matplotlib速查表（tips & tricks）
5、资源获取途径
后台回复mplc即可免费获取5张高清PNG速查图。