Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Save more on your purchases now! discount-offer-chevron-icon
Savings automatically calculated. No voucher code required.
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Python GUI Programming Cookbook, Second Edition

You're reading from   Python GUI Programming Cookbook, Second Edition Use recipes to develop responsive and powerful GUIs using Tkinter

Arrow left icon
Product type Paperback
Published in May 2017
Publisher Packt
ISBN-13 9781787129450
Length 444 pages
Edition 2nd Edition
Languages
Arrow right icon
Author (1):
Arrow left icon
Burkhard Meier Burkhard Meier
Author Profile Icon Burkhard Meier
Burkhard Meier
Arrow right icon
View More author details
Toc

Table of Contents (12) Chapters Close

Preface 1. Creating the GUI Form and Adding Widgets FREE CHAPTER 2. Layout Management 3. Look and Feel Customization 4. Data and Classes 5. Matplotlib Charts 6. Threads and Networking 7. Storing Data in our MySQL Database via our GUI 8. Internationalization and Testing 9. Extending Our GUI with the wxPython Library 10. Creating Amazing 3D GUIs with PyOpenGL and PyGLet 11. Best Practices

Placing labels on charts


So far, we have used the default Matplotlib GUI. Now, we will create some tkinter GUIs using Matplotlib.

This will require a few more lines of Python code and importing some more libraries, and it is well worth the effort, because we are gaining control of our paintings using canvases.

We will position labels onto both the horizontal and the vertical axes, that is, x and y. We will do this by creating a Matplotlib figure upon which we will draw.

You will also learn how to use subplots, which will enable you to draw more than one graph in the same window.

Getting ready

With the necessary Python modules installed and knowing where to find the official online documentation and tutorials, we can now carry on with our creation of Matplotlib charts.

How to do it...

While plot is the easiest way to create a Matplotlib chart, using Figure in combination with Canvas creates a more custom-made graph, which looks much better and also enables us to add buttons and other widgets to...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at €18.99/month. Cancel anytime