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Mastering matplotlib

Duncan M. McGreggor 著

更新時間：2021-07-16 14:11:32

開會員，本書免費讀 >

Ifyouareascientist,programmer,softwareengineer,orstudentwhohasworkingknowledgeofmatplotlibandnowwanttoextendyourusageofmatplotlibtoplotcomplexgraphsandchartsandhandlelargedatasets,thenthisbookisforyou.

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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Mastering matplotlib