normalize error_convergence by number of sample s

scripts/ilc_lib/ilc_lib.py

@@ -128,10 +128,9 @@ def reshape(data, last_duration, new_duration):
 
 
 def error_convergence(data):
-    y = np.linalg.norm(data[:,1:], ord=2, axis=0)
+    y = np.linalg.norm(data[:,1:], ord=2, axis=0)/data.shape[0]
     return y
 
-
 def e_traj(t,t_end):
     if t<t_end:
         s=1.2/200 *1000/t_end