Index: tools/perf/process_stat_array.py
===================================================================
--- tools/perf/process_stat_array.py	(revision b7d94ac5737a4c841871096ccb6bf5567f53423c)
+++ tools/perf/process_stat_array.py	(revision 9f77301aef8274700a61696fe1aafca8aad81323)
@@ -31,5 +31,6 @@
 		with open(os.path.join(root, filename), 'r') as file:
 			for line in file:
-				data = [int(x.strip()) for x in line.split(',')]
+				# data = [int(x.strip()) for x in line.split(',')]
+				data = [int(line.strip())]
 				data = [me, *data]
 				merged.append(data)
@@ -53,5 +54,6 @@
 
 # merge the data
-for (me, time, value) in merged:
+# for (me, time, value) in merged:
+for (me, value) in merged:
 	# check now much this changes
 	old = counters[me]
@@ -61,9 +63,30 @@
 	# add change to the current
 	curr = curr + change
-	single.append( (time, curr) )
+	single.append( value )
 
 	pass
 
+print(single)
+
+# single = sorted(single)[:len(single)-100]
+# ms = max(single)
+# single = [float(x) / 2500.0 for x in single]
+
 #print
-for t, v in single:
-	print([t, v])
+# for t, v in single:
+# 	print([t, v])
+# print(len(single))
+# print(max(single))
+# print(min(single))
+
+# bins = [0, 5.37751600e+04, 1.06903320e+05, 1.60031480e+05, 2.13159640e+05, 2.66287800e+05, 3.19415960e+05, 3.72544120e+05, 4.25672280e+05, 4.78800440e+05, 5.31928600e+05, 5.85056760e+05, 6.38184920e+05, 6.91313080e+05, 7.44441240e+05, 7.97569400e+05, 8.50697560e+05, 9.03825720e+05, 9.56953880e+05, 1.01008204e+06, 1.06321020e+06, 1.11633836e+06, 1.16946652e+06, 1.22259468e+06, 1.27572284e+06, 1.32885100e+06, 1.38197916e+06, 1.43510732e+06, 1.48823548e+06, 1.54136364e+06, 1.59449180e+06, 1.64761996e+06, 1.70074812e+06, 1.75387628e+06, 1.80700444e+06, 1.86013260e+06, 1.91326076e+06, 1.96638892e+06, 2.01951708e+06, 2.07264524e+06, 2.12577340e+06, 2.17890156e+06, 2.23202972e+06, 2.28515788e+06, 2.33828604e+06, 2.39141420e+06, 2.44454236e+06, 2.49767052e+06, 2.55079868e+06, 2.60392684e+06, 3.0e+06]
+# # bins = [float(x) / 2500.0 for x in bins]
+# # print([round(b, 2) for b in bins])
+
+# import numpy
+# # hist1, _ = numpy.histogram(single, density=True, bins=50)
+# hist2, _ = numpy.histogram(single, density=True, bins=bins)
+# # print(hist1)
+# print([1000.0 * h for h in hist2])
+# # for v in single:
+# # 	print([v])