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 Interactive Applications using Matplotlib
  • Table Of Contents Toc
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
Lock Free Chapter
1
1. Introducing Interactive Plotting
chevron up
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
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

Interactive navigation

A figure window should now appear, and the Python interpreter is not available for any additional commands. By default, showing a figure will block the execution of your scripts and interpreter. However, this does not mean that the figure is not interactive. As you mouse over the plot, you will see the plot coordinates in the lower right-hand corner. The figure window will also have a toolbar:

Interactive navigation

From left to right, the following are the tools:

  • Home, Back, and Forward: These are similar to that of a web browser. These buttons help you navigate through the previous views of your plot. The "Home" button will take you back to the first view when the figure was opened. "Back" will take you to the previous view, while "Forward" will return you to the previous views.
  • Pan (and zoom): This button has two modes: pan and zoom. Press the left mouse button and hold it to pan the figure. If you press x or y while panning, the motion will be constrained to just the x or y axis, respectively. Press the right mouse button to zoom. The plot will be zoomed in or out proportionate to the right/left and up/down movements. Use the X, Y, or Ctrl key to constrain the zoom to the x axis or the y axis or preserve the aspect ratio, respectively.
  • Zoom-to-rectangle: Press the left mouse button and drag the cursor to a new location and release. The axes view limits will be zoomed to the rectangle you just drew. Zoom out using your right mouse button, placing the current view into the region defined by the rectangle you just drew.
  • Subplot configuration: This button brings up a tool to modify plot spacing.
  • Save: This button brings up a dialog that allows you to save the current figure.

The figure window would also be responsive to the keyboard. The default keymap is fairly extensive (and will be covered fully later), but some of the basic hot keys are the Home key for resetting the plot view, the left and right keys for back and forward actions, p for pan/zoom mode, o for zoom-to-rectangle mode, and Ctrl + s to trigger a file save. When you are done viewing your figure, close the window as you would close any other application window, or use Ctrl + w.

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.
Interactive Applications using 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