Browse Library
Sign In Start Free Trial
Close icon Search icon
Account
Browse Library Sign In Start Free Trial

Add to playlist

Create a Playlist

Modal Close icon
You need to login to use this feature.
  • Book Overview & Buying Mastering Matplotlib
  • Table Of Contents Toc
Mastering Matplotlib

Mastering Matplotlib

By : Duncan M. McGreggor
3.5 (8)
Buy this Book
close
close
Mastering Matplotlib

Mastering Matplotlib

3.5 (8)
By: Duncan M. McGreggor
Buy this Book

Overview of this book

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 (11 chapters)
close
close
close
Preface
Icon
Preface
Icon
What this book covers
Icon
What you need for this book
Icon
Who this book is for
Icon
Conventions
Icon
Reader feedback
Icon
Customer support
Lock Free Chapter
1
1. Getting Up to Speed
Icon
1. Getting Up to Speed
Icon
A brief historical overview of matplotlib
Icon
What's new in matplotlib 1.4
Icon
The intermediate matplotlib user
Icon
Prerequisites for this book
Icon
Python 3
Icon
Coding style
Icon
Installing matplotlib
Icon
Using IPython Notebooks with matplotlib
Icon
Advanced plots – a preview
Icon
Setting up the interactive backend
Icon
Summary
2
2. The matplotlib Architecture
Icon
2. The matplotlib Architecture
Icon
The original design goals
Icon
The current matplotlib architecture
Icon
The backend layer
Icon
The artist layer
Icon
The scripting layer
Icon
The supporting components of the matplotlib stack
Icon
matplotlib modules
Icon
The execution flow
Icon
The matplotlib architecture as it relates to this book
Icon
Summary
3
3. matplotlib APIs and Integrations
Icon
3. matplotlib APIs and Integrations
Icon
The procedural pylab API
Icon
The pyplot scripting API
Icon
The matplotlib object-oriented API
Icon
matplotlib in other frameworks
Icon
Summary
4
4. Event Handling and Interactive Plots
Icon
4. Event Handling and Interactive Plots
Icon
Event loops in matplotlib
Icon
Event handling
Icon
Summary
5
5. High-level Plotting and Data Analysis
Icon
5. High-level Plotting and Data Analysis
Icon
High-level plotting
Icon
Data analysis
Icon
Summary
6
6. Customization and Configuration
chevron up
Icon
6. Customization and Configuration
Icon
Customization
Icon
Configuration
Icon
Summary
7
7. Deploying matplotlib in Cloud Environments
Icon
7. Deploying matplotlib in Cloud Environments
Icon
Making a use case for matplotlib in the Cloud
Icon
An example – AWS and Docker
Icon
Summary
8
8. matplotlib and Big Data
Icon
8. matplotlib and Big Data
Icon
Big data
Icon
Working with large data sources
Icon
Visualizing large data
Icon
Other visualization tools
Icon
Summary
9
9. Clustering for matplotlib
Icon
9. Clustering for matplotlib
Icon
Clustering and parallel programming
Icon
The custom ZeroMQ cluster
Icon
Clustering with IPython
Icon
More clustering
Icon
Summary
10
Index
Icon
Index

Configuration

We've just covered some examples of matplotlib customization. Hand in hand with this topic is that of configuration—the tweaking of predefined values to override default behaviors. The matplotlib module offers two ways to override the default values for the configuration settings—you can either run the control files, or run the control parameters that are stored in-memory to make changes to a running instance.

The run control for matplotlib

While commonly expanded to the run control, the .rc extension and -rc suffix trace their origins to 1965 and the Multics (short for Multiplexed Information and Computing Service) operating system, where rc stood for the run command. Like many software systems that were developed on UNIX- or BSD-based machines, matplotlib has an rc file where the control of matplotlib may be configured. This control is not limited to configuration files; one may also access an rc object via the matplotlib API. Each of these is covered in the following few...

CONTINUE READING
83
Tech Concepts
36
Programming languages
73
Tech Tools
Icon Unlimited access to the largest independent learning library in tech of over 8,000 expert-authored tech books and videos.
Icon Innovative learning tools, including AI book assistants, code context explainers, and text-to-speech.
Icon 50+ new titles added per month and exclusive early access to books as they are being written.
Mastering Matplotlib
End of Chapter 6
Next Chapter
notes
bookmark Notes and Bookmarks search Search in title playlist Add to playlist font-size Font size

Change the font size

margin-width Margin width

Change margin width

day-mode Day/Sepia/Night Modes

Change background colour

Close icon Search
Country selected
Close icon Your notes and bookmarks

Confirmation

Modal Close icon
claim successful
Order Page Read Now

Buy this book with your credits?

Modal Close icon
Are you sure you want to buy this book with one of your credits?
Close
YES, BUY

Submit Your Feedback

Modal Close icon
Modal Close icon
Modal Close icon