Matplotlib 3.0 Cookbook

How to do it...

The following are the steps involved in plotting the desired figure:

1. Load data and create a list of four images with the same correlation matrix, as follows:

wine_quality = pd.read_csv('winequality.csv', delimiter=';')corr_wine = wine_quality.corr()images = []images.append(corr_wine)images.append(corr_wine)images.append(corr_wine)images.append(corr_wine)

2. Define the figure with a size of 12 x 8 inches:

fig = plt.figure(1, (12, 8.))

3. Define a 2 x 2 grid to be plotted on the first axes:

grid1 = ImageGrid(fig, 131, nrows_ncols=(2, 2), axes_pad=0.0,                   label_mode="1")

4. Set up x and y ticks and ticklabels as follows:

grid1.axes_llc.set_xticks(range(len(corr_wine)))grid1.axes_llc.set_xticklabels(corr_wine.columns, rotation=90) ...