Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Save more on your purchases! discount-offer-chevron-icon
Savings automatically calculated. No voucher code required.
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Newsletter Hub
Free Learning
Arrow right icon
timer SALE ENDS IN
0 Days
:
00 Hours
:
00 Minutes
:
00 Seconds
Arrow up icon
GO TO TOP
Matplotlib for Python Developers

You're reading from   Matplotlib for Python Developers Python developers who want to learn Matplotlib need look no further. This book covers it all with a practical approach including lots of code and images. Take this chance to learn 2D plotting through real-world examples.

Arrow left icon
Product type Paperback
Published in Nov 2009
Publisher Packt
ISBN-13 9781847197900
Length 308 pages
Edition 1st Edition
Languages
Arrow right icon
Toc

Table of Contents (14) Chapters Close

Matplotlib for Python Developers
Credits
About the Author
About the Reviewers
1. Preface
1. Introduction to Matplotlib FREE CHAPTER 2. Getting Started with Matplotlib 3. Decorate Graphs with Plot Styles and Types 4. Advanced Matplotlib 5. Embedding Matplotlib in GTK+ 6. Embedding Matplotlib in Qt 4 7. Embedding Matplotlib in wxWidgets 8. Matplotlib for the Web 9. Matplotlib in the Real World

Chapter 9. Matplotlib in the Real World

In this chapter you will see several examples of Matplotlib usage in real-world situations, showing some of the common cases where we can use Matplotlib to draw a plot of some values.

There is a common workflow for this kind of job:

  1. 1. Identify the best data source for the information we want to plot

  2. 2. Extract the data of interest and elaborate it for plotting

  3. 3. Plot the data

Usually, the hardest part is to extract and prepare the data for plotting. Due to this, we are going to show several examples of the first two steps.

The examples are:

  • Plotting data from a database

  • Plotting data from a web page

  • Plotting the data extracted by parsing an Apache log file

  • Plotting the data read from a comma-separated values (CSV) file

  • Plotting extrapolated data using curve fitting

  • Third-party tools using Matplotlib (NetworkX and mpmath)

  • Plotting geographical data using Basemap

Let's begin

Plotting data from a database

Databases often tend to collect much more information than we...

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
Modal Close icon
Modal Close icon