October 2018
Beginner to intermediate
676 pages
18h 30m
English
Content preview from Matplotlib 3.0 Cookbook
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How it works...
Here is the explanation of how it works:
- pd.read_csv() reads the winequality data, and wine_quality.corr() computes the correlation matrix.
- plt.imshow(corr, cmap='Blues') displays the correlation matrix as an image and applies one of the standard colormaps: Blues.
- plt.colorbar() displays the color scale indicating which color share represents which data range.
- plt.xticks() and plt.yticks() plot the tickers (one for each attribute in the dataset) and the corresponding ticker labels for the x and the y axis. Argument rotation=45 in plt.xticks() indicates that ticker lables should be placed at 45 degrees to the corresponding axis.
You should see the following heatmap. As expected, the data ranges from -0.6 to 1.0 (correlations ...
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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.
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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.