FIX examples with numpy 1.13

Author: lesteve

examples/applications/plot_tomography_l1_reconstruction.py

@@ -107,7 +107,7 @@ def generate_synthetic_data():
     mask[(points[0]).astype(np.int), (points[1]).astype(np.int)] = 1
     mask = ndimage.gaussian_filter(mask, sigma=l / n_pts)
     res = np.logical_and(mask > mask.mean(), mask_outer)
-    return res - ndimage.binary_erosion(res)
+    return np.logical_xor(res, ndimage.binary_erosion(res))
 
 
 # Generate synthetic images, and projections

examples/cluster/plot_dbscan.py

@@ -52,7 +52,8 @@
 
 # Black removed and is used for noise instead.
 unique_labels = set(labels)
-colors = plt.cm.Spectral(np.linspace(0, 1, len(unique_labels)))
+colors = [plt.cm.Spectral(each)
+          for each in np.linspace(0, 1, len(unique_labels))]
 for k, col in zip(unique_labels, colors):
     if k == -1:
         # Black used for noise.