Thanks to visit codestin.com
Credit goes to subscription.packtpub.com

Browse Library
Sign In Start Free Trial
Close icon Search icon
Account
Browse Library Advanced Search 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
  • Feedback & Rating feedback
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
chevron up
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
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

Advanced plots – a preview

To give a taste of what's to come, let's start up a matplotlib IPython Notebook and look at an example. You will need to download the example from a GitHub repository first:

$ git clone https://github.com/masteringmatplotlib/preview.git
$ cd preview

You only need to do the following in order to bootstrap an environment with all the notebook dependencies and start up the notebook server:

$ make

This will do several things for you automatically, some of which are as follows:

  • Clone a support repository holding various include files
  • Create a Python virtual environment
  • Install matplotlib and other scientific computing Python modules into this virtual environment
  • Start an IPython Notebook server that runs on local host
  • Open a browser window and load the preview notebook in it

In this browser window, you can run the code yourself by selecting each code section and hitting the Shift and Enter keys to execute it. Let's go through an example.

Visually different images
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 Section 1
Next Section
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