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Scientific Computing with Python

You're reading from   Scientific Computing with Python High-performance scientific computing with NumPy, SciPy, and pandas

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Product type Paperback
Published in Jul 2021
Publisher Packt
ISBN-13 9781838822323
Length 392 pages
Edition 2nd Edition
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Authors (4):
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Olivier Verdier Olivier Verdier
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Olivier Verdier
Jan Erik Solem Jan Erik Solem
Author Profile Icon Jan Erik Solem
Jan Erik Solem
Claus Führer Claus Führer
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Claus Führer
Claus Fuhrer Claus Fuhrer
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Claus Fuhrer
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Table of Contents (23) Chapters Close

Preface 1. Getting Started 2. Variables and Basic Types FREE CHAPTER 3. Container Types 4. Linear Algebra - Arrays 5. Advanced Array Concepts 6. Plotting 7. Functions 8. Classes 9. Iterating 10. Series and Dataframes - Working with Pandas 11. Communication by a Graphical User Interface 12. Error and Exception Handling 13. Namespaces, Scopes, and Modules 14. Input and Output 15. Testing 16. Symbolic Computations - SymPy 17. Interacting with the Operating System 18. Python for Parallel Computing 19. Comprehensive Examples 20. About Packt 21. Other Books You May Enjoy 22. References
Communication by a Graphical User Interface

Graphical user interfaces (GUIs) are convenient tools to input user data to your Python program. In all likelihood, you have used tools such as selection lists, radio buttons, or sliders to communicate with an application. In this chapter, we show how to add some of these tools to your program. We base this chapter on tools provided by the module Matplotlib, which we already met in Section 6.2: Working with Matplotlib objects directly.

Although there are alternatives such as the module Tkinter for a more sophisticated design of GUIs, Matplotlib appears as an ideal entry point with a low threshold to add this comfortable way of communicating with your code.

The purpose of this chapter is to demonstrate the basic principles of GUI programming within Matplotlib. The role of events, slider movements, or mouse clicks and their interaction...

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