diff --git a/SimpaDbUtil.py b/SimpaDbUtil.py
index 98b7736..f6449f8 100644
--- a/SimpaDbUtil.py
+++ b/SimpaDbUtil.py
@@ -1,6 +1,10 @@
-import MySQLdb  # sudo port install py-mysql
+import MySQLdb  # sudo port install py-mysql; sudo apt install python-mysqldb
 import time
-import StringIO
+import sys
+if sys.version_info < (3, 0):
+    import StringIO
+else:
+    from io import StringIO
 import re
 from wol import *
 import os
diff --git a/cluster_stats.py b/cluster_stats.py
index e4e4bdb..665f022 100644
--- a/cluster_stats.py
+++ b/cluster_stats.py
@@ -26,6 +26,9 @@ import abc
 from SimpaDbUtil import SqlDatabaseReader, SqlFile
 from inventory import Inventory
 
+def is_cluster_node_name(name):
+    return re.match('^simpatix[0-9]+$', name) is not None or re.match('^physix[0-9]+$', name) is not None
+
 def get_investment_over_time(time_value, price, purchase_time):
     percent_decay_per_day = 0.0 # 1.0/(7.0*365.0)
     f1 = (purchase_time-time_value)*percent_decay_per_day+1.0
@@ -54,7 +57,7 @@ def get_flops_price_over_time(inventory, time_value):
     
     for row in rows:
         (name, serial_number, affectation, machine_spec_id, command_id, price_ex_vat, pos_x, pos_y, pos_z, inv_number)=row
-        is_cluster_node = re.match('^simpatix[0-9]+$', name)
+        is_cluster_node = is_cluster_node_name(name)
         if is_cluster_node:
             purchase_date = inventory.get_machine_purchase_date(name)
             if purchase_date is not None:
@@ -113,7 +116,7 @@ def stackplot(ax, x_signal, y_signals):
     :param dict(str,numpy.array) y_signals:
     """
     if 'stackplot' in dir(ax):
-        ax.stackplot(x_signal, list(y_signals.itervalues()) )
+        ax.stackplot(x_signal, list(y_signals.values()) )
         plt.legend(list(y_signals.keys()))
     else:
         # emulating missing Axes.stackplot method
@@ -141,7 +144,7 @@ def draw_cluster_value_over_time_graph(inventory, from_date, to_date, graph_type
 
     for row in rows:
         (name, serial_number, affectation, machine_spec_id, command_id, price_ex_vat, pos_x, pos_y, pos_z, inv_number)=row
-        is_cluster_node = re.match('^simpatix[0-9]+$', name)
+        is_cluster_node = is_cluster_node_name(name)
         if is_cluster_node:
             purchase_date = inventory.get_machine_purchase_date(name)
             if purchase_date is not None:
@@ -161,7 +164,7 @@ def draw_cluster_value_over_time_graph(inventory, from_date, to_date, graph_type
                     if owner_dept in cluster_value.keys():
                         cluster_value[owner_dept] += item_value_over_time
                     else:
-                        cluster_value[owner_dept] = np.zeros_like(time_value)
+                        cluster_value[owner_dept] = item_value_over_time # np.zeros_like(time_value)
 
                 # print(purchase_date)
     # print(type(from_date))