- Matplotlib for Python Developers
- Aldrin Yim Claire Chung Allen Yu
- 75字
- 2021-08-27 18:48:14
Hackable to the core (only when you want)
When we want to go beyond the default settings to ensure that the resultant figure meets our specific purpose, we can customize the appearance and behaviors of each plot feature:
- Per-element styling is possible
- The ability to plot data values as colors and draw any shape of patches allows the creation of almost any kind of visualization
- Useful in customizing plots created by extensions such as Seaborn
推薦閱讀
- LabVIEW 2018 虛擬儀器程序設(shè)計
- Oracle數(shù)據(jù)庫從入門到運(yùn)維實(shí)戰(zhàn)
- Mastering Google App Engine
- Access 2010數(shù)據(jù)庫應(yīng)用技術(shù)(第2版)
- RealSenseTM互動開發(fā)實(shí)戰(zhàn)
- Getting Started with Python and Raspberry Pi
- Hadoop 2.X HDFS源碼剖析
- 零代碼實(shí)戰(zhàn):企業(yè)級應(yīng)用搭建與案例詳解
- 精通Spring:Java Web開發(fā)與Spring Boot高級功能
- Web前端測試與集成:Jasmine/Selenium/Protractor/Jenkins的最佳實(shí)踐
- Node.js應(yīng)用開發(fā)
- Mastering Unity 2017 Game Development with C#(Second Edition)
- Mastering VMware vSphere Storage
- Ajax與jQuery程序設(shè)計
- Java程序設(shè)計