Once you start plotting more than one line of data points, things might become a little bit unclear. By adding a legend to your graphs, you can easily understand a complicated chart.
- [Instructor] In the previous video,…we looked at how to add labels on charts.…In this video, we will enhance the chart…from the previous video.…We will only plot one chart here,…in which the legend will be displayed.…We'll then customize the color scheme…of the lines on the chart.…We'll also see what happens if we don't follow the syntax…of tuple variable assignment.…Once we start plotting more than one line a data points,…things might become a little bit unclear.…
By adding a legend to our graphs,…we can tell which data is what, and what it actually means.…We do not have to choose different colors…to represent the different data.…Matplotlib automatically assigns a different color…to each line of data points.…All we have to do is create the chart…and add a legend to it.…First, we will plot more lines of data in the same chart,…and then we will add a legend to the chart.…
We do this by modifying the code from the previous video…into a file called ChartsWithLegend.py.…We're only plotting one graph in this video,…
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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