October 2018
Beginner to intermediate
676 pages
18h 30m
English
Content preview from Matplotlib 3.0 Cookbook
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How to do it...
The following code block reads the data using pandas and plots the correlation matrix using the pyplot API. This is the same as what we did to plot the heat map in Chapter 2, Getting Started with Basic Plots:
- Read the data from a CSV file into pandas DataFrame:
wine_quality = pd.read_csv('winequality.csv', delimiter=';')
- Get a correlation matrix of all attributes of wine_quality:
corr = wine_quality.corr()
- Define the figure with its size, and plot the image and associated color bar:
plt.figure(figsize=(12,9))plt.imshow(corr,cmap='hot')plt.colorbar()
- Set the title and ticks for the figure and display it on the screen:
plt.title('Correlation Matrix')plt.xticks(range(len(corr)),corr.columns, fontsize=10, fontweight='bold',rotation=45) ...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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