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...
We will plot two bivariate KDE plots. In the second plot, we will plot two KDE plots with different sets of variables, on the same axes for comparison:
- Plot the bivariate KDE plot with contours and a colorbar:
sns.kdeplot(snacks_sales.Smoothies, snacks_sales.Pies, kernel='epa', n_levels=25, cmap='Reds', cbar=True)plt.title('1. Bivariate KDE Plot', size=15, color='g', weight='bold');plt.show();
- Plot bivariate KDE plots for two sets of variables with a shaded area:
Cookies_temp = snacks_sales.Cookies + 500ax=sns.kdeplot(snacks_sales.Period, snacks_sales.Coffee, kernel='gau',shade=True, shade_lowest=False, cmap='Purples_d')sns.kdeplot(snacks_sales.Period, Cookies_temp, kernel='cos', shade=True, shade_lowest=False, cmap='Blues') ...
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