Book Image

Python GUI Programming Cookbook, Second Edition - Second Edition

By : Burkhard Meier
Book Image

Python GUI Programming Cookbook, Second Edition - Second Edition

By: Burkhard Meier

Overview of this book

Python is a multi-domain, interpreted programming language. It is a widely used general-purpose, high-level programming language. It is often used as a scripting language because of its forgiving syntax and compatibility with a wide variety of different eco-systems. Python GUI Programming Cookbook follows a task-based approach to help you create beautiful and very effective GUIs with the least amount of code necessary. This book will guide you through the very basics of creating a fully functional GUI in Python with only a few lines of code. Each and every recipe adds more widgets to the GUIs we are creating. While the cookbook recipes all stand on their own, there is a common theme running through all of them. As our GUIs keep expanding, using more and more widgets, we start to talk to networks, databases, and graphical libraries that greatly enhance our GUI’s functionality. This book is what you need to expand your knowledge on the subject of GUIs, and make sure you’re not missing out in the long run.
Table of Contents (18 chapters)
Title Page
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface

How to give the chart a legend


Once we start plotting more than one line of data points, things might become a little bit unclear. So 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 the data points.

All we have to do is create the chart and add a legend to it.

Getting ready

In this recipe, we will enhance the chart from the previous recipe, Placing labels on charts. We will only plot one chart.

How to do it…

First, we will plot more lines of data on the same chart, and then we will add a legend to the chart.

We'll do this by modifying the code from the previous recipe:

Matplotlib_chart_with_legend.py

    from matplotlib.figure import Figure 
    from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg 
    import tkinter as tk 
    #-------------------------------------------------------------- 
    fig ...