The aim of this video is to use core Python to control scaling of charts dynamically.
- [Narrator] In the previous video,…we learned how we can limit the scaling of our charts.…In this video, we will go one step further…by dynamically adjusting the scaling by setting both a limit…and analyzing our data before we represent it.…We will enhance the code from the previous video…by reading in the data we are plotting dynamically,…averaging it, and then adjusting our chart.…While we would typically read in the data…from an external source, in this video,…we create the data we are plotting…using Python lists.…
Here, we are creating our own data…in our Python module by assigning lists…with data to the X values and Y values variables.…In many graphs, the beginning of the X and Y…coordinates system starts at zero, zero.…This is usually a good idea, so let's adjust…our chart coordinate code accordingly.…Let's modify the code to set limits…on both the X and Y dimensions.…
Now that we have set the same limits for X and Y,…our chart might look more balanced.…Let's run it and see.…We get something like this.…Okay, maybe starting at zero, zero…
Note: This course was created by Packt Publishing. We are pleased to host this training in our library.
- Creating buttons and widgets
- Adding labels and features
- Expanding a GUI dynamically
- Aligning frames and embedding frames
- Creating menu bars, message boxes, and tooltips
- Using module-level global variables
- Coding in classes
- Using Matplotlib to create charts
- Working with multiple threads, queues, and TCP/IP
- Using URLOpen to read data from websites
- Localizing a GUI and preparing for internationalization
- Testing a GUI using unit tests and Eclipse PyDev IDE
- Using the wxPython library
- Using Tkinter, PyOpenGL, and Pyglet
Skill Level Intermediate
Python GUI Development with Tkinterwith Barron Stone4h 55m Intermediate
1. Creating the GUI Form and Adding Widgets
2. Layout Management
3. Look and Feel Customization
4. Data and Classes
Using the StringVar() type8m 14s
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
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