October 2018
Beginner to intermediate
676 pages
18h 30m
English
Content preview from Matplotlib 3.0 Cookbook
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Regression plots
Regression plots help in fit two-dimensional data in to a linear or polynomial curve. This helps in visualizing the relationship between two variables to understand how closely it fits a linear or polynomial of order n. Seaborn provides three functions for this purpose: regplot(), residplot(), and lmplot(). Both regplot() as well as lmplot() serve the same purpose of fitting two-dimensional data to a linear or polynomial of order n, but regplot() is an axes-level function, whereas lmplot() is a figure-level function, which enables it to use the row and col semantic variables to draw multiple regression plots in a single figure. residplot() helps fitting the curve and plotting the residuals to understand the quality of the ...
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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.