October 2018
Beginner to intermediate
676 pages
18h 30m
English
Content preview from Matplotlib 3.0 Cookbook
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Wine Quality
This dataset has 11 attributes that influence the quality of the wine. The Quality rating varies from 3 to 8, and then we map 3 and 4 to Low, 5 and 6 to Med, and 7 and 8 to High to create a new variable: Quality.
The first five rows of the dataset looks as follows:
We will also compute the correlation matrix for the Wine Quality dataset, which we will use in some of the plots.
The following is the code block to read and add additional variables to the Wine Quality dataset:
import pandas as pd# Read the data from a csv file into pandas data framewine_quality = pd.read_csv('winequality.csv', delimiter=';')# Map numeric Quality ...Become 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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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.