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
Newsletter Hub
Free Learning
Arrow right icon
timer SALE ENDS IN
0 Days
:
00 Hours
:
00 Minutes
:
00 Seconds
Mastering Matplotlib 2.x
Mastering Matplotlib 2.x

Mastering Matplotlib 2.x: Effective Data Visualization techniques with Python

Arrow left icon
Profile Icon Keller
Arrow right icon
$19.99 per month
Paperback Nov 2018 214 pages 1st Edition
eBook
$17.99 $25.99
Paperback
$32.99
Subscription
Free Trial
Renews at $19.99p/m
Arrow left icon
Profile Icon Keller
Arrow right icon
$19.99 per month
Paperback Nov 2018 214 pages 1st Edition
eBook
$17.99 $25.99
Paperback
$32.99
Subscription
Free Trial
Renews at $19.99p/m
eBook
$17.99 $25.99
Paperback
$32.99
Subscription
Free Trial
Renews at $19.99p/m

What do you get with a Packt Subscription?

Free for first 7 days. $19.99 p/m after that. Cancel any time!
Product feature icon Unlimited ad-free access to the largest independent learning library in tech. Access this title and thousands more!
Product feature icon 50+ new titles added per month, including many first-to-market concepts and exclusive early access to books as they are being written.
Product feature icon Innovative learning tools, including AI book assistants, code context explainers, and text-to-speech.
Product feature icon Thousands of reference materials covering every tech concept you need to stay up to date.
Subscribe now
View plans & pricing
Table of content icon View table of contents Preview book icon Preview Book

Mastering Matplotlib 2.x

Drawing on Plots

Till now, we have studied how to use style sheets to customize plot appearances, and how to tweak multi-panel plots to give more complex and appealing layouts for different kinds of plotting applications.

Matplotlib allows you to make plots that really show your own individual style. We will learn how to draw on plots to provide the viewer with visual guides that point them toward the important features of data. We will discuss adding horizontal and vertical lines, along with tweaking a background grid.

Versatile annotating adds arrows and some text to these arrows to the plots in order to customize the appearance of these annotations.

In this chapter, we will look at the following topics:

  • How to put lines in place
  • How to add text on plots
  • How to play with polygons and shapes
  • How to add different kinds of annotations
...

Putting lines in place

This section describes adding horizontal and vertical lines along with adding and tweaking a background grid.

Adding horizontal and vertical lines

We will begin by importing our required libraries, as shown:

import numpy as np
import matplotlib as mpl
import matplotlib.pyplot as plt
%matplotlib inline
# Set up figure size and DPI for screen demo
plt.rcParams['figure.figsize'] = (6,4)
plt.rcParams['figure.dpi'] = 150
  1. We will create the simple sine plot that we saw in Chapter 1, Heavy Customization, as follows:
# Adding a horizontal and vertical line
nums = np.arange(0,10,0.1)
plt.plot(nums, np.sin(nums))

We will get the following output:

  1. Now, to add an annotation, say, a line that splits...

Adding text on your plots

This section describes how we can add text to both the axis and figure objects, including adding text in multi-panel figures and configuring the appearance of text.

Adding text to both axis and figure objects

Let's start by importing everything we need:

import numpy as np
import matplotlib as mpl
import matplotlib.pyplot as plt
%matplotlib inline
# Set up figure size and DPI for screen demo
plt.rcParams['figure.figsize'] = (6,4)
plt.rcParams['figure.dpi'] = 150
  1. Next, bring up the standard sine curve that we have been using:
# Add some text
nums = np.arange(0,10,0.1)
plt.plot(nums, np.sin(nums))

We will get the following output:

  1. We will add some text, say, right in the middle...

Playing with polygons and shapes

This section talks about how to add polygons and other shapes and the different built-in shapes that Matplotlib provides.

Adding polygons and shapes to our plots

We will begin by importing what we need to from Matplotlib, as shown here:

import numpy as np
import matplotlib as mpl
import matplotlib.pyplot as plt
%matplotlib inline
# Set up figure size and DPI for screen demo
plt.rcParams['figure.figsize'] = (6,4)
plt.rcParams['figure.dpi'] = 150
nums = np.arange(0,10,0.1)
plt.plot(nums, np.sin(nums))

We will use the same sign plot as in the earlier section, Adding text to both axis and figure objects. As shown in the following output, this is the most basic sine plot and no annotations...

Versatile annotating

We will import everything we need to bring up the simple sine plot:

import numpy as np
import matplotlib as mpl
import matplotlib.pyplot as plt
%matplotlib inline
# Set up figure size and DPI for screen demo
plt.rcParams['figure.figsize'] = (6,4)
plt.rcParams['figure.dpi'] = 150

Adding arrows to our plots with the annotate method

The annotate method has a lot of arguments, as seen in the following code:

# Add an arrow
nums = np.arange(0,10,0.1)
plt.plot(nums, np.sin(nums))
plt.annotate("", xy=(np.pi/2, 1), xytext=(5,0), arrowprops=dict(facecolor='k'))

The first argument in the preceding code is an empty string that will be displayed. xy tells us where the data coordinates...

Summary

In this chapter, we learned how to add lines, boxes, texts, different kinds of shapes, and polygons, as well as arrows in descriptions with annotate. We also focused on the viewer's attention on whatever kinds of data the plot is showing to make the insights.

In the next chapter, we will learn about special-purpose plots, which you can use for different kinds of data that haven't fallen into the sorts of plots we've seen so far.

Left arrow icon Right arrow icon
Download code icon Download Code

Key benefits

  • Practical guide with hands-on examples to design interactive plots
  • Advanced techniques to constructing complex plots
  • Explore 3D plotting and visualization using Jupyter Notebook

Description

In this book, you’ll get hands-on with customizing your data plots with the help of Matplotlib. You’ll start with customizing plots, making a handful of special-purpose plots, and building 3D plots. You’ll explore non-trivial layouts, Pylab customization, and more about tile configuration. You’ll be able to add text, put lines in plots, and also handle polygons, shapes, and annotations. Non-Cartesian and vector plots are exciting to construct, and you’ll explore them further in this book. You’ll delve into niche plots and visualize ordinal and tabular data. In this book, you’ll be exploring 3D plotting, one of the best features when it comes to 3D data visualization, along with Jupyter Notebook, widgets, and creating movies for enhanced data representation. Geospatial plotting will also be explored. Finally, you’ll learn how to create interactive plots with the help of Jupyter. Learn expert techniques for effective data visualization using Matplotlib 3 and Python with our latest offering -- Matplotlib 3.0 Cookbook

Who is this book for?

This book is aimed at individuals who want to explore data visualization techniques. A basic knowledge of Matplotlib and Python is required.

What you will learn

  • Deal with non-trivial and unusual plots
  • Understanding Basemap methods
  • Customize and represent data in 3D
  • Construct Non-Cartesian and vector plots
  • Design interactive plots using Jupyter Notebook
  • Make movies for enhanced data representation

Product Details

Country selected
Publication date, Length, Edition, Language, ISBN-13
Publication date : Nov 29, 2018
Length: 214 pages
Edition : 1st
Language : English
ISBN-13 : 9781789617696
Category :
Languages :
Tools :

What do you get with a Packt Subscription?

Free for first 7 days. $19.99 p/m after that. Cancel any time!
Product feature icon Unlimited ad-free access to the largest independent learning library in tech. Access this title and thousands more!
Product feature icon 50+ new titles added per month, including many first-to-market concepts and exclusive early access to books as they are being written.
Product feature icon Innovative learning tools, including AI book assistants, code context explainers, and text-to-speech.
Product feature icon Thousands of reference materials covering every tech concept you need to stay up to date.
Subscribe now
View plans & pricing

Product Details

Publication date : Nov 29, 2018
Length: 214 pages
Edition : 1st
Language : English
ISBN-13 : 9781789617696
Category :
Languages :
Tools :

Packt Subscriptions

See our plans and pricing
Modal Close icon
$19.99 billed monthly
Feature tick icon Unlimited access to Packt's library of 7,000+ practical books and videos
Feature tick icon Constantly refreshed with 50+ new titles a month
Feature tick icon Exclusive Early access to books as they're written
Feature tick icon Solve problems while you work with advanced search and reference features
Feature tick icon Offline reading on the mobile app
Feature tick icon Simple pricing, no contract
$199.99 billed annually
Feature tick icon Unlimited access to Packt's library of 7,000+ practical books and videos
Feature tick icon Constantly refreshed with 50+ new titles a month
Feature tick icon Exclusive Early access to books as they're written
Feature tick icon Solve problems while you work with advanced search and reference features
Feature tick icon Offline reading on the mobile app
Feature tick icon Choose a DRM-free eBook or Video every month to keep
Feature tick icon PLUS own as many other DRM-free eBooks or Videos as you like for just $5 each
Feature tick icon Exclusive print discounts
$279.99 billed in 18 months
Feature tick icon Unlimited access to Packt's library of 7,000+ practical books and videos
Feature tick icon Constantly refreshed with 50+ new titles a month
Feature tick icon Exclusive Early access to books as they're written
Feature tick icon Solve problems while you work with advanced search and reference features
Feature tick icon Offline reading on the mobile app
Feature tick icon Choose a DRM-free eBook or Video every month to keep
Feature tick icon PLUS own as many other DRM-free eBooks or Videos as you like for just $5 each
Feature tick icon Exclusive print discounts

Frequently bought together


Stars icon
Total $ 114.97
Matplotlib 3.0 Cookbook
$48.99
Applied Data Science with Python and Jupyter
$32.99
Mastering Matplotlib 2.x
$32.99
Total $ 114.97 Stars icon

Table of Contents

6 Chapters
Heavy Customization Chevron down icon Chevron up icon
Drawing on Plots Chevron down icon Chevron up icon
Special Purpose Plots Chevron down icon Chevron up icon
3D and Geospatial Plots Chevron down icon Chevron up icon
Interactive Plotting Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon
Get free access to Packt library with over 7500+ books and video courses for 7 days!
Start Free Trial

FAQs

What is included in a Packt subscription? Chevron down icon Chevron up icon

A subscription provides you with full access to view all Packt and licnesed content online, this includes exclusive access to Early Access titles. Depending on the tier chosen you can also earn credits and discounts to use for owning content

How can I cancel my subscription? Chevron down icon Chevron up icon

To cancel your subscription with us simply go to the account page - found in the top right of the page or at https://subscription.packtpub.com/my-account/subscription - From here you will see the ‘cancel subscription’ button in the grey box with your subscription information in.

What are credits? Chevron down icon Chevron up icon

Credits can be earned from reading 40 section of any title within the payment cycle - a month starting from the day of subscription payment. You also earn a Credit every month if you subscribe to our annual or 18 month plans. Credits can be used to buy books DRM free, the same way that you would pay for a book. Your credits can be found in the subscription homepage - subscription.packtpub.com - clicking on ‘the my’ library dropdown and selecting ‘credits’.

What happens if an Early Access Course is cancelled? Chevron down icon Chevron up icon

Projects are rarely cancelled, but sometimes it's unavoidable. If an Early Access course is cancelled or excessively delayed, you can exchange your purchase for another course. For further details, please contact us here.

Where can I send feedback about an Early Access title? Chevron down icon Chevron up icon

If you have any feedback about the product you're reading, or Early Access in general, then please fill out a contact form here and we'll make sure the feedback gets to the right team. 

Can I download the code files for Early Access titles? Chevron down icon Chevron up icon

We try to ensure that all books in Early Access have code available to use, download, and fork on GitHub. This helps us be more agile in the development of the book, and helps keep the often changing code base of new versions and new technologies as up to date as possible. Unfortunately, however, there will be rare cases when it is not possible for us to have downloadable code samples available until publication.

When we publish the book, the code files will also be available to download from the Packt website.

How accurate is the publication date? Chevron down icon Chevron up icon

The publication date is as accurate as we can be at any point in the project. Unfortunately, delays can happen. Often those delays are out of our control, such as changes to the technology code base or delays in the tech release. We do our best to give you an accurate estimate of the publication date at any given time, and as more chapters are delivered, the more accurate the delivery date will become.

How will I know when new chapters are ready? Chevron down icon Chevron up icon

We'll let you know every time there has been an update to a course that you've bought in Early Access. You'll get an email to let you know there has been a new chapter, or a change to a previous chapter. The new chapters are automatically added to your account, so you can also check back there any time you're ready and download or read them online.

I am a Packt subscriber, do I get Early Access? Chevron down icon Chevron up icon

Yes, all Early Access content is fully available through your subscription. You will need to have a paid for or active trial subscription in order to access all titles.

How is Early Access delivered? Chevron down icon Chevron up icon

Early Access is currently only available as a PDF or through our online reader. As we make changes or add new chapters, the files in your Packt account will be updated so you can download them again or view them online immediately.

How do I buy Early Access content? Chevron down icon Chevron up icon

Early Access is a way of us getting our content to you quicker, but the method of buying the Early Access course is still the same. Just find the course you want to buy, go through the check-out steps, and you’ll get a confirmation email from us with information and a link to the relevant Early Access courses.

What is Early Access? Chevron down icon Chevron up icon

Keeping up to date with the latest technology is difficult; new versions, new frameworks, new techniques. This feature gives you a head-start to our content, as it's being created. With Early Access you'll receive each chapter as it's written, and get regular updates throughout the product's development, as well as the final course as soon as it's ready.We created Early Access as a means of giving you the information you need, as soon as it's available. As we go through the process of developing a course, 99% of it can be ready but we can't publish until that last 1% falls in to place. Early Access helps to unlock the potential of our content early, to help you start your learning when you need it most. You not only get access to every chapter as it's delivered, edited, and updated, but you'll also get the finalized, DRM-free product to download in any format you want when it's published. As a member of Packt, you'll also be eligible for our exclusive offers, including a free course every day, and discounts on new and popular titles.