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Mastering GUI Programming with Python

You're reading from   Mastering GUI Programming with Python Develop impressive cross-platform GUI applications with PyQt

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Product type Paperback
Published in May 2019
Publisher Packt
ISBN-13 9781789612905
Length 542 pages
Edition 1st Edition
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Author (1):
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Alan D. Moore Alan D. Moore
Author Profile Icon Alan D. Moore
Alan D. Moore
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Table of Contents (24) Chapters Close

Preface 1. Section 1: Deep Dive into PyQt
2. Getting Started with PyQt FREE CHAPTER 3. Building Forms with QtWidgets 4. Handling Events with Signals and Slots 5. Building Applications with QMainWindow 6. Creating Data Interfaces with Model-View Classes 7. Styling Qt Applications 8. Section 2: Working with External Resources
9. Working with Audio-Visual Using QtMultimedia 10. Networking with QtNetwork 11. Exploring SQL with Qt SQL 12. Section 3: Unraveling Advanced Qt Implementations
13. Multithreading with QTimer and QThread 14. Creating Rich Text with QTextDocument 15. Creating 2D Graphics with QPainter 16. Creating 3D Graphics with QtOpenGL 17. Embedding Data Plots with QtCharts 18. PyQt Raspberry Pi 19. Web Browsing with QtWebEngine 20. Preparing Your Software for Distribution 21. Answers to Questions 22. Upgrading Raspbian 9 to Raspbian 10
23. Other Books You May Enjoy

Chapter 14

  1. Consider the following descriptions of datasets. What style of chart would you suggest for each?
    1. Web server hit counts by date
    2. Sales figures by salesperson per month
    3. Percentages of support tickets for the past year by company department
    4. The yield of a plot of bean plants against the plant's height, for several hundred plants

The answers are subjective, but the author suggests the following:

    1. A line or spline chart, as it would illustrate traffic trends
    2. A bar or stacked by chart, as this would allow you to compare salespeople over time
    3. A pie chart, since it represents a set of percentages adding up to 100
    4. A scatter plot, since you want to show a general trend of a large set of data
  1. Which chart component has not been configured in the following code, and what will the result be?
   data_list = [
qtc.QPoint(2, 3),
qtc.QPoint(4, 5),
...
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