Book Image

Dancing with Python

By : Robert S. Sutor
Book Image

Dancing with Python

By: Robert S. Sutor

Overview of this book

Dancing with Python helps you learn Python and quantum computing in a practical way. It will help you explore how to work with numbers, strings, collections, iterators, and files. The book goes beyond functions and classes and teaches you to use Python and Qiskit to create gates and circuits for classical and quantum computing. Learn how quantum extends traditional techniques using the Grover Search Algorithm and the code that implements it. Dive into some advanced and widely used applications of Python and revisit strings with more sophisticated tools, such as regular expressions and basic natural language processing (NLP). The final chapters introduce you to data analysis, visualizations, and supervised and unsupervised machine learning. By the end of the book, you will be proficient in programming the latest and most powerful quantum computers, the Pythonic way.
Table of Contents (29 chapters)
Part I: Getting to Know Python
PART II: Algorithms and Circuits
PART III: Advanced Features and Libraries
Other Books You May Enjoy
Appendix C: The Complete UniPoly Class
Appendix D: The Complete Guitar Class Hierarchy
Appendix F: Production Notes

13.4 Pie charts

Another common chart type is the pie chart, where we visualize data as wedges. The size of each wedge is related to its data value compared to the sum of the values. We use the pie function to create a pie chart.

import matplotlib.pyplot as plt

days = ["Monday", "Tuesday", "Wednesday", "Thursday", "Friday"]
support_calls = [21, 14, 10, 9, 19]

# draw the pie chart
pie_chart = plt.pie(support_calls, labels=days)
<Figure size 432x288 with 1 Axes>
A pie chart with support calls per day of the week

matplotlib automatically assigns colors to each wedge. The last chart had wedges in blue, purple, red, green, and orange, starting with Monday, though they may appear monochromatically to you depending on the medium in which you are reading this book.

We provide many of the stylistic controls for the display of the chart as keyword arguments to pie. If I add the argument autopct...