diff --git a/Trajectories/trajectories.py b/Trajectories/trajectories.py
index ae0b3a76c24ba26ce832a57c6cedb9839e50acfd..0ed32247cadbe71af34f394ba43bdc89f1e11926 100755
--- a/Trajectories/trajectories.py
+++ b/Trajectories/trajectories.py
@@ -66,18 +66,18 @@ for n in topology.topological_sort(g):
             # Find the index of the closest direct predecessor of a node:
             # head of the in-edge with smallest cost.
 
-            all_cost = g.get_in_edges(n, eprops = [g.edge_properties.cost_function])
+            all_cost = g.get_in_edges(n, eprops = [g.ep.cost_function])
             # numpy array with dtype float64
 
             i_min = all_cost[:, 2].argmin()
             closest_pred = all_cost[i_min, 0]
 
             if closest_succ[closest_pred] == n:
-                # Assign to n the trajectory of closest_pred. This means
-                # updating ind_traj, traj_prop and
-                # traj_vert_ind. closest_pred is already in a trajectory,
-                # traj_prop[closest_pred]] != - 1. We extend the
-                # trajectory of closest_pred forward.
+                # Assign to n the trajectory of closest_pred. This
+                # means updating traj_prop and
+                # traj_vert_ind. closest_pred is already in a
+                # trajectory, traj_prop[closest_pred]] != - 1. We
+                # extend the trajectory of closest_pred forward.
                 traj_prop[n] = traj_prop[closest_pred]
                 traj_vert_ind[traj_prop[n]].append(n)
             else: