Matplotlib 3.0 Cookbook

How to do it...

Here are the steps to plot the required plots:

1. Plot a linear regression plot with Quality as the hue variable:

g1 = sns.lmplot(x='fixed acidity', y='pH', hue='Quality', hue_order=                ['Low', 'Med', 'High'], logx=True,                data=wine_quality, height=4, aspect=2, ci=None)

2. Plot a parametric regression plot with Quality as the col variable, and customize the labels, ticks, and axis limits:

g2 = sns.lmplot(x='fixed acidity', y='pH', data=wine_quality, ci=99,                 col='Quality', col_order=['Low', 'Med', 'High'],                 height=3, robust=True, scatter_kws={'color': 'g'})g2 = g2.set_axis_labels("Fixed Acidity", "pH")g2.set(xlim=(0, 20), ylim=(2.4, 4.0), xticks=[5, 10, 15, 20],        yticks=[2.5, 3.0, 3.5, 4.0])

3. Plot a non-parametric regression plot ...