October 2018
Beginner to intermediate
676 pages
18h 30m
English
Content preview from Matplotlib 3.0 Cookbook
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Getting ready
We will use product defects data in a manufacturing plant for a given month. It has a defect reason code and a number of defects. So, we will plot a bar graph for the number of defects by the defect reason code, and a line plot for cumulative defects as a percentage of the total defects. Obviously, the range of data for number of defects and cumulative percentage will vary significantly, so a common y axis does not give the right picture of data. Twinning the axes comes to the rescue in such situations.
We will plot two different plots; one using twinx() and the other using twiny() in this section. We will learn how to plot the third option of no sharing of any axis in the There's more... section of this recipe.
Import the required ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
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.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
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.