diff --git a/DRAMSys/analyzer/scripts/plots.py b/DRAMSys/analyzer/scripts/plots.py
index 06d0619a..6bcde75c 100755
--- a/DRAMSys/analyzer/scripts/plots.py
+++ b/DRAMSys/analyzer/scripts/plots.py
@@ -40,29 +40,24 @@ def memory_utilisation_window(connection, tracePath):
     bandwidthPercentage[0] = 0
     bandwidth[0] = 0
     for i in range(steps):
-        # print(i)
-        bandwidthPercentage[i] = 0
+        bandwidthPercentage[i+1] = 0
         cursor.execute(queryPart, (i*windowSize, (i+1)*windowSize))
         result = cursor.fetchone()
         if(result is None):
             cursor.execute(queryFull, (i*windowSize, (i+1)*windowSize))
             result = cursor.fetchone()
             if(result[0] is not None):
-                bandwidthPercentage[i] += int(result[0])
-                # print(bandwidthPercentage[i])
+                bandwidthPercentage[i+1] += int(result[0])
             cursor.execute(queryEnd, (i*windowSize, i*windowSize, i*windowSize, (i+1)*windowSize))
             result = cursor.fetchone()
             if(result[0] is not None):
-                bandwidthPercentage[i] += int(result[0])
-                # print(bandwidthPercentage[i])
+                bandwidthPercentage[i+1] += int(result[0])
             cursor.execute(queryBegin, ((i+1)*windowSize, i*windowSize, (i+1)*windowSize, (i+1)*windowSize))
             result = cursor.fetchone()
             if(result[0] is not None):
-                bandwidthPercentage[i] += int(result[0])
-                # print(bandwidthPercentage[i])
+                bandwidthPercentage[i+1] += int(result[0])
         else:
-            bandwidthPercentage[i] = windowSize
-        # print(bandwidthPercentage[i])
+            bandwidthPercentage[i+1] = windowSize
         bandwidthPercentage[i+1] = float(bandwidthPercentage[i+1]/windowSize)
         bandwidth[i+1] = float(bandwidthPercentage[i+1])*float(maxDataRate)/1024
         bandwidthPercentage[i+1] *= 100
@@ -79,14 +74,14 @@ def memory_utilisation_window(connection, tracePath):
     import numpy as np
     from matplotlib.backends.backend_pdf import PdfPages
 
-    time = np.arange(0, steps*windowSize, windowSize)
+    time = np.arange(0, (steps+1)*windowSize, windowSize)
 
     plt.figure()
 
     subplotIndex = 211
     plt.subplot(subplotIndex)
     plt.plot(time/1000, bandwidthPercentage)
-    #plt.xlabel('Time (ns)')
+    plt.xlabel('Time (ns)')
     plt.ylabel('Bandwidth (%)')
     plt.ylim(0, maximumPercentage + (10 - maximumPercentage%10))
     plt.grid(True)