diff --git a/glances/compat.py b/glances/compat.py
index e5dd8ca546553bb2fe7bd49776966843bb963a81..4e50df222af5c5e38a33e171d9ea560d5861c9d8 100644
--- a/glances/compat.py
+++ b/glances/compat.py
@@ -192,7 +192,7 @@ def subsample(data, sampling):
     if len(data) <= sampling:
         return data
     sampling_length = int(round(len(data) / float(sampling)))
-    return [mean(data[s * sampling_length:(s + 1) * sampling_length]) for s in xrange(0, sampling)]
+    return [mean(data[s * sampling_length:(s + 1) * sampling_length]) for s in range(0, sampling)]
 
 
 def time_serie_subsample(data, sampling):
@@ -207,6 +207,6 @@ def time_serie_subsample(data, sampling):
     t = [t[0] for t in data]
     v = [t[1] for t in data]
     sampling_length = int(round(len(data) / float(sampling)))
-    t_subsampled = [t[s * sampling_length:(s + 1) * sampling_length][0] for s in xrange(0, sampling)]
-    v_subsampled = [mean(v[s * sampling_length:(s + 1) * sampling_length]) for s in xrange(0, sampling)]
+    t_subsampled = [t[s * sampling_length:(s + 1) * sampling_length][0] for s in range(0, sampling)]
+    v_subsampled = [mean(v[s * sampling_length:(s + 1) * sampling_length]) for s in range(0, sampling)]
     return list(zip(t_subsampled, v_subsampled))
diff --git a/unitest.py b/unitest.py
index 20df9eda8075f8be2bbe79c8f202e99246469456..a36b3a2ef722ae5fba938337a324a42442961b0a 100755
--- a/unitest.py
+++ b/unitest.py
@@ -34,7 +34,7 @@ from glances.thresholds import GlancesThresholdWarning
 from glances.thresholds import GlancesThresholdCritical
 from glances.thresholds import GlancesThresholds
 from glances.plugins.glances_plugin import GlancesPlugin
-from glances.compat import subsample
+from glances.compat import subsample, range
 
 # Global variables
 # =================
@@ -249,8 +249,8 @@ class TestGlances(unittest.TestCase):
                   ([1, 2, 3, 4], 4),
                   ([1, 2, 3, 4, 5, 6, 7], 4),
                   ([1, 2, 3, 4, 5, 6, 7, 8], 4),
-                  (list(xrange(1, 800)), 4),
-                  (list(xrange(1, 8000)), 800)]:
+                  (list(range(1, 800)), 4),
+                  (list(range(1, 8000)), 800)]:
             l_subsample = subsample(l[0], l[1])
             self.assertLessEqual(len(l_subsample), l[1])