April 2018
Beginner to intermediate
300 pages
7h 34m
English
Content preview from Matplotlib for Python Developers - Second Edition
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Hackable to the core (only when you want)
When we want to go beyond the default settings to ensure that the resultant figure meets our specific purpose, we can customize the appearance and behaviors of each plot feature:
- Per-element styling is possible
- The ability to plot data values as colors and draw any shape of patches allows the creation of almost any kind of visualization
- Useful in customizing plots created by extensions such as Seaborn
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.