Sign In Start Free Trial
Account

Add to playlist

Create a Playlist

Modal Close icon
You need to login to use this feature.
  • Mastering Matplotlib
  • Toc
  • feedback
Mastering Matplotlib

Mastering Matplotlib

By : Duncan M. McGreggor, Duncan M McGreggor
3.5 (8)
close
Mastering Matplotlib

Mastering Matplotlib

3.5 (8)
By: Duncan M. McGreggor, Duncan M McGreggor

Overview of this book

If you are a scientist, programmer, software engineer, or student who has working knowledge of matplotlib and now want to extend your usage of matplotlib to plot complex graphs and charts and handle large datasets, then this book is for you.
Table of Contents (11 chapters)
close
10
Index

High-level plotting


In this book, when we mention high-level, we are referring not to some assessment of value or improvement over something, but rather to layers of abstraction, or more precisely, layers of interaction. When engaged in high-level plotting, we expect that users and developers will be creating visualizations of complex data with fewer commands or steps required than by using matplotlib's basic functionality directly. This is a result of complex tasks wrapping a greater number of smaller, simpler tasks.

Plotting itself is a high-level activity: raw data and often calculations on that data are combined, processed, some more in anticipation of user consumption, arranged or grouped in ways suitable for conveying the desired information, and then applied to some medium in ways that one hopes will render greater insight. By our definition, each activity upon that original raw data is, in some way, high-level.

Before we look at examples of modern high-level plotting, let us gain some...

bookmark search playlist font-size

Change the font size

margin-width

Change margin width

day-mode

Change background colour

Close icon Search
Country selected

Close icon Your notes and bookmarks

Delete Bookmark

Modal Close icon
Are you sure you want to delete it?
Cancel
Yes, Delete