from sklearn import datasets
figure=datasets.load_boston()
fig=plt.figure()
axes=fig.add_axes([0.1, 0.1,0.8, 0.8])
fig, axes = plt.subplots(nrows=1, ncols=2)

for ax in axes:
    ax.plot(CRIM, PRICE, 'r', NOX, PRICE, 'g')
    ax.set_CRIMlabel('crime')
    ax.set_PRICElabel('price')
    ax.set_NOXlabel('nox')
    ax.set_title('You think this bad neighborhood?')

fig.tight_layout()