Book Image

Mastering matplotlib

By : Duncan M. McGreggor, Duncan M McGreggor
Book Image

Mastering matplotlib

By: Duncan M. McGreggor, Duncan M McGreggor

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Mastering matplotlib
Duncan M. McGreggor | Duncan M McGreggor
Jun, 2015 | 292 pages
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Table of Contents (16 chapters)
Mastering matplotlib
Mastering matplotlib
Credits
Credits
About the Author
About the Author
About the Reviewers
About the Reviewers
www.PacktPub.com
www.PacktPub.com
Preface
Preface
Free Chapter
1
Getting Up to Speed
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
2
The matplotlib Architecture
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
3
matplotlib APIs and Integrations
matplotlib APIs and Integrations
The procedural pylab API
The pyplot scripting API
The matplotlib object-oriented API
matplotlib in other frameworks
Summary
4
Event Handling and Interactive Plots
Event Handling and Interactive Plots
Event loops in matplotlib
Event handling
Summary
5
High-level Plotting and Data Analysis
High-level Plotting and Data Analysis
High-level plotting
Data analysis
Summary
6
Customization and Configuration
Customization and Configuration
Customization
Configuration
Summary
7
Deploying matplotlib in Cloud Environments
Deploying matplotlib in Cloud Environments
Making a use case for matplotlib in the Cloud
An example – AWS and Docker
Summary
8
matplotlib and Big Data
matplotlib and Big Data
Big data
Working with large data sources
Visualizing large data
Other visualization tools
Summary
9
Clustering for matplotlib
Clustering for matplotlib
Clustering and parallel programming
The custom ZeroMQ cluster
Clustering with IPython
More clustering
Summary
Index
Index

What's new in matplotlib 1.4

In the past 12 years, a great deal has happened in the matplotlib codebase. Of particular interest are the new features that have been added to the most recent release at the time of writing this book—version 1.4.3. Here are some of its highlights:

  • A new IPython Notebook backend for interactive matplotlib plot support

  • A new style package that allows for greater control over the visual presentation of plots

  • The new Qt5 backend

  • Google App Engine integration

  • New plotting features

  • New configuration options

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