June 2015
Beginner to intermediate
292 pages
6h 16m
English
Content preview from Mastering MatplotlibBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Other visualization tools
The matplotlib module was originally designed for use on workstations and desktops, not servers. Its design did not arise from use cases for high-volume or large datasets. However, as you saw in this chapter, by using the right tools and taking the appropriate measures, matplotlib can perform admirably with hundreds of millions of data points.
Should you ever hit insurmountable barriers for matplotlib (such as real-time visualization and user interaction with billions of data points), you can make use of the following open source projects that were originally designed by keeping large datasets in mind:
- ParaView (http://www.paraview.org/): This is an open source, multiplatform data analysis and visualization application. ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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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.