diff --git a/pyFTS/common/Util.py b/pyFTS/common/Util.py
index ade0419..8159d8d 100644
--- a/pyFTS/common/Util.py
+++ b/pyFTS/common/Util.py
@@ -265,7 +265,6 @@ def plot_interval2(intervals, data, **kwargs):
     :keyword typeonlegend:
     :keyword ls: matplotlib line style
     :keyword linewidth: matplotlib width
-    :return: a list [lower, upper] with the minimum and maximum bounds of the intervals
     '''
 
     l = len(intervals)
@@ -283,8 +282,6 @@ def plot_interval2(intervals, data, **kwargs):
 
     lower = [kk[0] for kk in intervals]
     upper = [kk[1] for kk in intervals]
-    mi = min(lower) * 0.95
-    ma = max(upper) * 1.05
 
     typeonlegend = kwargs.get('typeonlegend', False)
     color = kwargs.get('color', 'red')
@@ -296,8 +293,6 @@ def plot_interval2(intervals, data, **kwargs):
     if typeonlegend: label += " (Interval)"
     ax.plot(lower, color=color, label=label, ls=ls,linewidth=linewidth)
     ax.plot(upper, color=color, ls=ls,linewidth=linewidth)
-    return [mi, ma]
-
 
 
 def plot_rules(model, size=[5, 5], axis=None, rules_by_axis=None, columns=1):
diff --git a/pyFTS/tests/general.py b/pyFTS/tests/general.py
index e6b1358..1dd4c14 100644
--- a/pyFTS/tests/general.py
+++ b/pyFTS/tests/general.py
@@ -39,7 +39,7 @@ distributions = model.predict(test[:10], type='distribution', steps_ahead=horizo
 fig, ax = plt.subplots(nrows=1, ncols=1,figsize=[15,5])
 
 ax.plot(test[:10], label='Original',color='black')
-cUtil.plot_interval(ax, intervals, model.order, label='ensemble')
+cUtil.plot_interval2(intervals, test[:10], start_at=3, ax=ax)
 cUtil.plot_distribution2(distributions, test[:10], start_at=2, ax=ax, cmap="Blues")
 
 '''