Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Python Machine Learning (Wiley)

You're reading from   Python Machine Learning (Wiley) Python makes machine learning easy for beginners and experienced developers

Arrow left icon
Product type Paperback
Published in Apr 2019
Publisher Wiley
ISBN-13 9781119545637
Length 320 pages
Edition 1st Edition
Languages
Tools
Arrow right icon
Author (1):
Arrow left icon
Wei-Meng Lee Wei-Meng Lee
Author Profile Icon Wei-Meng Lee
Wei-Meng Lee
Arrow right icon
View More author details
Toc

Table of Contents (16) Chapters Close

1. Cover
2. Introduction FREE CHAPTER
3. CHAPTER 1: Introduction to Machine Learning 4. CHAPTER 2: Extending Python Using NumPy 5. CHAPTER 3: Manipulating Tabular Data Using Pandas 6. CHAPTER 4: Data Visualization Using matplotlib 7. CHAPTER 5: Getting Started with Scikit‐learn for Machine Learning 8. CHAPTER 6: Supervised Learning—Linear Regression 9. CHAPTER 7: Supervised Learning—Classification Using Logistic Regression 10. CHAPTER 8: Supervised Learning—Classification Using Support Vector Machines 11. CHAPTER 9: Supervised Learning—Classification Using K‐Nearest Neighbors (KNN) 12. CHAPTER 10: Unsupervised Learning—Clustering Using K‐Means 13. CHAPTER 11: Using Azure Machine Learning Studio 14. CHAPTER 12: Deploying Machine Learning Models 15. Index
16. End User License Agreement

Plotting Line Charts

To see how easy it is to use matplotlib, let's plot a line chart using Jupyter Notebook. Here is a code snippet that plots a line chart:

%matplotlib inline
import matplotlib.pyplot as plt
 
plt.plot(
    [1,2,3,4,5,6,7,8,9,10],
    [2,4.5,1,2,3.5,2,1,2,3,2]
) 

Figure 4.1 shows the line chart plotted.

“A line graph plotted using matplotlib displaying the output of the plotting commands in line within front-ends like Jupyter Notebook.”

Figure 4.1: A line graph plotted using matplotlib

The first statement tells matplotlib to display the output of the plotting commands in line within front‐ends likes Jupyter Notebook. In short, it means display the chart within the same page as your Jupyter Notebook:

%matplotlib inline 

To use matplotlib, you import the pyplot module and name it plt (its commonly used alias):

import matplotlib.pyplot as plt 

To plot a line chart, you use the plot() function from the pyplot module, supplying it with two arguments as follows:

  1. A list of values representing the x‐axis
  2. A list of values representing the y‐axis
[1,2,3,4,5,6,7,8,9,10],
    [2,4.5,1...
lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime
Banner background image