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...
Here are the steps to plot two cluster maps, one with raw data in the Wine Quality dataset, and the other with the associated correlation matrix:
- Plot the clustermap of the Wine Quality dataset:
row_colors = wine_quality["Quality"].map(dict(zip(wine_quality["Quality"].unique (), "rbg")))g = sns.clustermap(wine_quality.drop('Quality',axis=1), standard_scale=1, robust=True, row_colors=row_colors, cmap='viridis')
- Plot the clustermap of the correlation matrix of the Wine Quality dataset:
g = sns.clustermap(corr, figsize=(10,8), z_score=1, cbar_kws={"label": "color bar"})
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