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Python Machine Learning Cookbook

You're reading from   Python Machine Learning Cookbook 100 recipes that teach you how to perform various machine learning tasks in the real world

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Product type Paperback
Published in Jun 2016
Publisher Packt
ISBN-13 9781786464477
Length 304 pages
Edition 1st Edition
Languages
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Authors (2):
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Vahid Mirjalili Vahid Mirjalili
Author Profile Icon Vahid Mirjalili
Vahid Mirjalili
Prateek Joshi Prateek Joshi
Author Profile Icon Prateek Joshi
Prateek Joshi
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Toc

Table of Contents (14) Chapters Close

Preface 1. The Realm of Supervised Learning FREE CHAPTER 2. Constructing a Classifier 3. Predictive Modeling 4. Clustering with Unsupervised Learning 5. Building Recommendation Engines 6. Analyzing Text Data 7. Speech Recognition 8. Dissecting Time Series and Sequential Data 9. Image Content Analysis 10. Biometric Face Recognition 11. Deep Neural Networks 12. Visualizing Data Index

Drawing pie charts

Let's see how to plot pie charts. This is useful when you want to visualize the percentages of a set of labels in a group.

How to do it…

  1. Create a new Python file, and import the following packages:
    import numpy as np
    import matplotlib.pyplot as plt 
  2. Define the labels and values:
    # Labels and corresponding values in counter clockwise direction
    data = {'Apple': 26, 
            'Mango': 17,
            'Pineapple': 21, 
            'Banana': 29, 
            'Strawberry': 11}
  3. Define the colors for visualization:
    # List of corresponding colors
    colors = ['orange', 'lightgreen', 'lightblue', 'gold', 'cyan']
  4. Define a variable to highlight a section of the pie chart by separating it from the rest. If you don't want to highlight any section, set all the values to 0:
    # Needed if we want to highlight a section
    explode = (0, 0, 0, 0, 0)  
  5. Plot the pie chart. Note that if you use Python 3,...
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