diff --git a/KNN_Mark1.py b/KNN_Mark1.py
index 586d15f..6b3027e 100644
--- a/KNN_Mark1.py
+++ b/KNN_Mark1.py
@@ -1,14 +1,13 @@
 from tkinter import *
 
 def lancer(k, date, temp_moy, temp_ref, donnees):
-    moyenne_liste()
+    donnees, lst_conso = moyenne_liste()
     donnees_point = [date, temp_moy, temp_ref]
     print(k)
     print(donnees_point)
-    #print(temp_num_jour)
+    print(donnees)
     lst_k_plus_proches = kPlusProches(k, donnees_point, donnees)
     PuissanceMoyenne(lst_k_plus_proches)
-    #estBissextile(an)
 
 def lecture(fichier):
     temp_jour = []
@@ -84,29 +83,12 @@ def numeroJour(date):
 def moyenne_liste():
     temp_jour = lecture("pic-journalier-consommation.csv")
     donnees= []
+    lst_conso = []
     for i in range(len(temp_jour)):
         temp_jour[i][0] = numeroJour(temp_jour[i][0])
-        lst_conso = []
-        lst_temp_moy = []
-        lst_temp_ref = []
-        moy_conso = 0
-        moy_temp_moy = 0
-        moy_temp_ref = 0
-    for l in range(1,366):
-        for m in range(len(temp_jour)):
-            if temp_jour[m][0] == l:
-                lst_conso.append(temp_jour[l][1])
-                lst_temp_moy.append(temp_jour[l][2])
-                lst_temp_ref.append(temp_jour[l][3])
-        for n in range(len(lst_conso)):
-            moy_conso += lst_conso[n]
-            moy_temp_moy += lst_temp_moy[n]
-            moy_temp_ref += lst_temp_ref[n]
-        moy_conso = moy_conso / len(lst_conso)
-        moy_temp_moy = moy_temp_moy / len(lst_temp_moy)
-        moy_temp_ref = moy_temp_ref / len(lst_temp_ref)
-        donnees.append([temp_jour[l-1][0], moy_conso, moy_temp_moy, moy_temp_ref])
-    return donnees
+        donnees.append([temp_jour[i][0], temp_jour[i][2], temp_jour[i][3]])
+        lst_conso.append(temp_jour[i][1])
+    return donnees, lst_conso
     
 def distance(donnees, donneespoint, i):
     """Fonction qui dit qu'en prenant des points et ben on peut trouver une distance entre 2 point"""
@@ -116,19 +98,17 @@ def distance(donnees, donneespoint, i):
     d2 = 365 - d1
     d_final = d1
     if d1 > d2:
-        d_final = d2
-    
-        
-    y1 = donnees[i][2]
-    y2 = donneespoint[2]
-    z1 = donnees[i][3]
+        d_final = d2  
+    y1 = donnees[i][1]
+    y2 = donneespoint[1]
+    z1 = donnees[i][2]
     z2 = donneespoint[2]
     return ((d_final)**2)+((y1-y2)**2)+((z1-z2)**2)
 
 def PuissanceMoyenne(lst_k_plus_proches):
     """Calcule la moyenne de distances entre les points """
     lecture("pic-journalier-consommation.csv")
-    conso_moy = sum() / len(lst_k_plus_proches)
+    conso_moy =0 # sum() / len(lst_k_plus_proches)
     return conso_moy
 
 def recup1():