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...
Apart from a full dataset and a selected list of variables, it also has three ways of specifying specific type of plots in the grid:
- Using the same type of plot for all the cells/axes in the grid:
g = sns.PairGrid(snacks_sales_items, hue='Promotion', hue_kws= {"marker": ["^", "D"]}, palette={'Yes': 'blue', 'No': '#00a99f05'})g.map(plt.scatter, edgecolor='k', s=50)g.add_legend()g.fig.subplots_adjust(wspace=.02, hspace=.02);
- Using one type of univariate plot for diagonal, and another bivariate type for off-diagonal plots:
g = sns.PairGrid(snacks_sales_items, vars=['Coffee', 'Pies', 'Smoothies'], hue='Promotion', palette={'Yes': 'Orange', 'No': 'g'})g.map_diag(plt.hist, histtype="step", linewidth=2)g.map_offdiag(sns.kdeplot, ...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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