diff --git a/openmp/runtime/tools/summarizeStats.py b/openmp/runtime/tools/summarizeStats.py
--- a/openmp/runtime/tools/summarizeStats.py
+++ b/openmp/runtime/tools/summarizeStats.py
@@ -37,7 +37,7 @@
 
     frame_dict = {'polygon': draw_poly_frame, 'circle': draw_circle_frame}
     if frame not in frame_dict:
-        raise ValueError, 'unknown value for `frame`: %s' % frame
+        raise ValueError('unknown value for `frame`: %s' % frame)
 
     class RadarAxes(PolarAxes):
         """
@@ -143,7 +143,7 @@
             res["counters"] = readCounters(f)
             return res
     except (OSError, IOError):
-        print "Cannot open " + fname
+        print("Cannot open " + fname)
         return None
 
 def usefulValues(l):
@@ -171,7 +171,7 @@
 
 def normalizeValues(data, countField, factor):
     """Normalize values into a rate by dividing them all by the given factor"""
-    data[[k for k in data.keys() if k != countField]] /= factor
+    data[[k for k in list(data.keys()) if k != countField]] /= factor
 
 
 def setRadarFigure(titles):
@@ -192,7 +192,7 @@
     """Draw the radar plots"""
     tmp_lin = data * 0
     tmp_log = data * 0
-    for key in data.keys():
+    for key in list(data.keys()):
         if data[key] >= 1:
            tmp_log[key] = np.log10(data[key])
         else:
@@ -206,7 +206,7 @@
     ax.set_yscale('log')
     ax.legend()
     ax.set_xticks(index + width * n / 2)
-    ax.set_xticklabels(tmp[s]['Total'].keys(), rotation=50, horizontalalignment='right')
+    ax.set_xticklabels(list(tmp[s]['Total'].keys()), rotation=50, horizontalalignment='right')
     plt.xlabel("OMP Constructs")
     plt.ylabel(statProperties[s][0])
     plt.title(statProperties[s][1])
@@ -214,7 +214,7 @@
 
 def derivedTimerStats(data):
     stats = {}
-    for key in data.keys():
+    for key in list(data.keys()):
         if key == 'OMP_worker_thread_life':
             totalRuntime = data['OMP_worker_thread_life']
         elif key in ('FOR_static_iterations', 'OMP_PARALLEL_args',
@@ -227,7 +227,7 @@
 def compPie(data):
     compKeys = {}
     nonCompKeys = {}
-    for key in data.keys():
+    for key in list(data.keys()):
         if key in ('OMP_critical', 'OMP_single', 'OMP_serial',
                    'OMP_parallel', 'OMP_master', 'OMP_task_immediate',
                    'OMP_task_taskwait', 'OMP_task_taskyield', 'OMP_task_taskgroup',
@@ -235,7 +235,7 @@
             compKeys[key] = data[key]
         else:
             nonCompKeys[key] = data[key]
-    print "comp keys:", compKeys, "\n\n non comp keys:", nonCompKeys
+    print("comp keys:", compKeys, "\n\n non comp keys:", nonCompKeys)
     return [compKeys, nonCompKeys]
 
 def drawMainPie(data, filebase, colors):
@@ -250,8 +250,8 @@
 
 def drawSubPie(data, tag, filebase, colors):
     explode = []
-    labels = data.keys()
-    sizes = data.values()
+    labels = list(data.keys())
+    sizes = list(data.values())
     total = sum(sizes)
     percent = []
     for i in range(len(sizes)):
@@ -295,15 +295,15 @@
                 normalizeValues(tmp["counters"], "SampleCount",
                     elapsedTime / 1.e9)
                 """Plotting radar charts"""
-                params = setRadarFigure(data.keys())
+                params = setRadarFigure(list(data.keys()))
                 chartType = "radar"
                 drawRadarChart(data, s, filebase, params, colors[n])
                 """radar Charts finish here"""
                 plt.savefig(filebase+"_"+s+"_"+chartType, bbox_inches='tight')
             elif s == 'timers':
-                print "overheads in "+filebase
+                print("overheads in "+filebase)
                 numThreads = tmp[s]['SampleCount']['Total_OMP_parallel']
-                for key in data.keys():
+                for key in list(data.keys()):
                     if key[0:5] == 'Total':
                         del data[key]
                 stats[filebase] = derivedTimerStats(data)
@@ -315,7 +315,7 @@
                 drawSubPie(dataSubSet[1], "Non Computational Time", filebase, colors)
                 with open('derivedStats_{}.csv'.format(filebase), 'w') as f:
                     f.write('================={}====================\n'.format(filebase))
-                    f.write(pd.DataFrame(stats[filebase].items()).to_csv()+'\n')
+                    f.write(pd.DataFrame(list(stats[filebase].items())).to_csv()+'\n')
             n += 1
     plt.close()