Key Features
Book Description
If you are a scientist, programmer, software engineer, or student who has working knowledge of matplotlib and now want to extend your usage of matplotlib to plot complex graphs and charts and handle large datasets, then this book is for you.What you will learn
- Analyze the matplotlib code base and its internals
- Rerender visualized data on the fly based on changes in the user interface
- Take advantage of sophisticated thirdparty libraries to plot complex data relationships
- Create custom styles for use in specialize publications, presentations, or online media
- Generate consolidated master plots comprising many subplots for dashboardlike results
- Deploy matplotlib in Cloud environments
- Utilize matplotlib in big data projects
Who this book is for
If you are a scientist, programmer, software engineer, or student who has working knowledge of matplotlib and now want to extend your usage of matplotlib to plot complex graphs and charts and handle large datasets, then this book is for you.
Table of Contents
- Getting up to Speed
- matplotlib Architecture
- matplotlib APIs and Integrations
- Event Handling and Interactive Plots
- High-level Plotting and Analysis
- Advanced Customization and Configuration
- Deploying matplotlib in Cloud Environments
- matplotlib and Big Data
- Clustering matplotlib
Loading...
Loading...
