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 Interactive Applications using Matplotlib
  • Table Of Contents Toc
  • Feedback & Rating feedback
Interactive Applications using Matplotlib

Interactive Applications using Matplotlib

3.3 (6)
Buy this Book
close
close
Interactive Applications using Matplotlib

Interactive Applications using Matplotlib

3.3 (6)
Buy this Book

Overview of this book

This book is intended for Python programmers who want to do more than just see their data. Experience with GUI toolkits is not required, so this book can be an excellent complement to other GUI programming resources.
Table of Contents (7 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
Free Chapter
1
1. Introducing Interactive Plotting
Icon
1. Introducing Interactive Plotting
Icon
Installing Matplotlib
Icon
Show() your work
Icon
Interactive navigation
Icon
Interactive plotting
Icon
Scripted plotting
Icon
Getting help
Icon
From front to backend
Icon
The Matplotlib figure-artist hierarchy
Icon
Summary
2
2. Using Events and Callbacks
Icon
2. Using Events and Callbacks
Icon
Making the connection
Icon
The big event
Icon
Breaking up is the easiest thing to do
Icon
Keymapping
Icon
Picking
Icon
Data editing
Icon
User events
Icon
Editor events
Icon
Summary
3
3. Animations
Icon
3. Animations
Icon
A short history
Icon
The fastest draw in the west
Icon
The animation module
Icon
Advanced animations
Icon
Saving animations
Icon
Summary
4
4. Widgets
chevron up
Icon
4. Widgets
Icon
Built-in widgets
Icon
Third-party tools
Icon
Summary
5
5. Embedding Matplotlib
Icon
5. Embedding Matplotlib
Icon
The revelation
Icon
Through a glass, darkly
Icon
Bars, menus, and sliders – four ways
Icon
Matplotlib in your app
Icon
Summary
6
Index
Icon
Index

Third-party tools

While Matplotlib likes to follow a "batteries included" philosophy for all things related to plotting, there are times when a desired feature just doesn't generalize well enough for it to be a standard feature. Alternatively, a feature may require other specialty packages that do not make sense to have as a dependency for Matplotlib. For these situations, there is a growing library of packages that provide additional interactive features on top of your standard Matplotlib application.

mpldatacursor

The mpldatacursor package (https://pypi.python.org/pypi/mpldatacursor) provides a number of useful interactive tools, primarily focusing on making it very easy to annotate a plot. To use this tool, create your plots as normal. Then you can add a data cursor to one or more Axes object (and can optionally specify which Artist objects the cursor is valid for). Then, click on something in your plot and an annotation will appear, describing what you clicked on.

Glue

The...

Unlock full access

Continue reading for free

A Packt free trial gives you instant online access to our library of over 7000 practical eBooks and videos, constantly updated with the latest in tech
Start a 7-day FREE trial
End of Section 3
Next Section

Create a Note

Modal Close icon
You need to login to use this feature.
notes
bookmark search playlist font-size

Change the font size

margin-width

Change margin width

day-mode

Change background colour

Close icon Search
Country selected
Close icon Your notes and bookmarks

Delete Bookmark

Modal Close icon
Are you sure you want to delete it?
Cancel
Yes, Delete

Delete Note

Modal Close icon
Are you sure you want to delete it?
Cancel
Yes, Delete

Edit Note

Modal Close icon
Write a note (max 255 characters)
Cancel
Update Note

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