目錄(65章)
倒序
- 封面
- 版權信息
- Credits
- About the Author
- About the Reviewers
- www.PacktPub.com
- Preface
- Chapter 1. Getting Up to Speed
- A brief historical overview of matplotlib
- What's new in matplotlib 1.4
- The intermediate matplotlib user
- Prerequisites for this book
- Python 3
- Coding style
- Installing matplotlib
- Using IPython Notebooks with matplotlib
- Advanced plots – a preview
- Setting up the interactive backend
- Summary
- Chapter 2. The matplotlib Architecture
- The original design goals
- The current matplotlib architecture
- The backend layer
- The artist layer
- The scripting layer
- The supporting components of the matplotlib stack
- matplotlib modules
- The execution flow
- The matplotlib architecture as it relates to this book
- Summary
- Chapter 3. matplotlib APIs and Integrations
- The procedural pylab API
- The pyplot scripting API
- The matplotlib object-oriented API
- matplotlib in other frameworks
- Summary
- Chapter 4. Event Handling and Interactive Plots
- Event loops in matplotlib
- Event handling
- Summary
- Chapter 5. High-level Plotting and Data Analysis
- High-level plotting
- Data analysis
- Summary
- Chapter 6. Customization and Configuration
- Customization
- Configuration
- Summary
- Chapter 7. Deploying matplotlib in Cloud Environments
- Making a use case for matplotlib in the Cloud
- An example – AWS and Docker
- Summary
- Chapter 8. matplotlib and Big Data
- Big data
- Working with large data sources
- Visualizing large data
- Other visualization tools
- Summary
- Chapter 9. Clustering for matplotlib
- Clustering and parallel programming
- The custom ZeroMQ cluster
- Clustering with IPython
- More clustering
- Summary
- Index 更新時間：2021-07-16 14:11:32
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