FIG Larger marker sizes

Author: luispedro

ch02/figure1.py

@@ -22,7 +22,7 @@
     # Use a different marker/color for each class `t`
     for t, marker, c in zip(range(3), ">ox", "rgb"):
         ax.scatter(features[target == t, p0], features[
-                    target == t, p1], marker=marker, c=c)
+                    target == t, p1], marker=marker, c=c, s=40)
     ax.set_xlabel(feature_names[p0])
     ax.set_ylabel(feature_names[p1])
     ax.set_xticks([])

ch02/figure2.py

@@ -47,9 +47,9 @@
 ax.plot([t, t], [y0, y1], 'k--', lw=2)
 ax.plot([t - .1, t - .1], [y0, y1], 'k:', lw=2)
 ax.scatter(features[is_virginica, f0],
-            features[is_virginica, f1], c='b', marker='o')
+            features[is_virginica, f1], c='b', marker='o', s=32)
 ax.scatter(features[~is_virginica, f0],
-            features[~is_virginica, f1], c='r', marker='x')
+            features[~is_virginica, f1], c='r', marker='x', s=32)
 ax.set_ylim(y0, y1)
 ax.set_xlim(x0, x1)
 ax.set_xlabel(feature_names[f0])

ch02/figure4_5_sklearn.py

@@ -47,7 +47,7 @@ def plot_decision(features, labels, num_neighbors=1):
     model.fit(features[:, (0,2)], labels)
     C = model.predict(np.vstack([X.ravel(), Y.ravel()]).T).reshape(X.shape)
     if COLOUR_FIGURE:
-        cmap = ListedColormap([(1., .6, .6), (.6, 1., .6), (.6, .6, 1.)])
+        cmap = ListedColormap([(1., .7, .7), (.7, 1., .7), (.7, .7, 1.)])
     else:
         cmap = ListedColormap([(1., 1., 1.), (.2, .2, .2), (.6, .6, .6)])
     fig,ax = plt.subplots()
@@ -57,12 +57,12 @@ def plot_decision(features, labels, num_neighbors=1):
     ax.set_ylabel(feature_names[2])
     ax.pcolormesh(X, Y, C, cmap=cmap)
     if COLOUR_FIGURE:
-        cmap = ListedColormap([(1., .0, .0), (.0, 1., .0), (.0, .0, 1.)])
-        ax.scatter(features[:, 0], features[:, 2], c=labels, cmap=cmap)
+        cmap = ListedColormap([(1., .0, .0), (.1, .6, .1), (.0, .0, 1.)])
+        ax.scatter(features[:, 0], features[:, 2], c=labels, cmap=cmap, s=40)
     else:
         for lab, ma in zip(range(3), "Do^"):
             ax.plot(features[labels == lab, 0], features[
-                     labels == lab, 2], ma, c=(1., 1., 1.))
+                     labels == lab, 2], ma, c=(1., 1., 1.), ms=8)
     return fig,ax