April 2018
Beginner to intermediate
300 pages
7h 34m
English
Content preview from Matplotlib for Python Developers - Second Edition
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Visualizing multivariate data with a heatmap
A heatmap is a useful visualization method to illustrate multivariate data when there are many variables to compare, such as in a big data analysis. It is a plot that displays values in a color scale in a grid. It is among the most common plots utilized by bioinformaticians to display hundreds or thousands of gene expression values in one plot.
With Seaborn, drawing a heatmap is just one line away from importing the library. It is done by calling sns.heatmap(df), where df is the Pandas DataFrame to be plotted. We can supply the cmap parameter to specify the color scale ("colormap") to be used. You can revisit the previous chapter for more details on colormap usage.
To get a feel for heatmap, in ...
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