Sign In Start Free Trial
Account

Add to playlist

Create a Playlist

Modal Close icon
You need to login to use this feature.
  • Book Overview & Buying Mastering Matplotlib 2.x
  • Table Of Contents Toc
  • Feedback & Rating feedback
Mastering Matplotlib 2.x

Mastering Matplotlib 2.x

By : Keller
close
close
Mastering Matplotlib 2.x

Mastering Matplotlib 2.x

By: Keller

Overview of this book

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
Table of Contents (7 chapters)
close
close

Heavy Customization

This book will teach us about advanced Matplotlib plots. It will enable you to go from data to plot to insight, in order to take raw numbers, raw information, and turn them into a visualization, which will allow us to build within our mind the actual bit of insight on how the data behaves. This will also focus on the advanced tools to derive more subtle insights from your data.

In this chapter, we will be focusing on the advanced tools of plotting so that you can really derive more subtle insights from your data. The prerequisites for this course give us a basic understanding of Python and the ability to use NumPy to work with array data.

We will learn about the following topics:

  • Using style sheets to customize our plot's appearance
  • Working with Matplotlib colors
  • Building multi-panel plots with complex layouts
  • How to configure Matplotlib to use our preferences whenever we start up a new Matplotlib session
Visually different images
CONTINUE READING
83
Tech Concepts
36
Programming languages
73
Tech Tools
Icon Unlimited access to the largest independent learning library in tech of over 8,000 expert-authored tech books and videos.
Icon Innovative learning tools, including AI book assistants, code context explainers, and text-to-speech.
Icon 50+ new titles added per month and exclusive early access to books as they are being written.
Mastering Matplotlib 2.x
notes
bookmark Notes and Bookmarks search Search in title playlist Add to playlist download Download options font-size Font size

Change the font size

margin-width Margin width

Change margin width

day-mode Day/Sepia/Night Modes

Change background colour

Close icon Search
Country selected

Close icon Your notes and bookmarks

Confirmation

Modal Close icon
claim successful

Buy this book with your credits?

Modal Close icon
Are you sure you want to buy this book with one of your credits?
Close
YES, BUY

Submit Your Feedback

Modal Close icon
Modal Close icon
Modal Close icon