1st commit

py_main.py

@@ -1,4 +1,7 @@
+%matplotlib inline
 import numpy as np
+import matplotlib.pyplot as plt
+
 def lecture(name):
     lst_date = []
     lst_conso = []
@@ -13,5 +16,30 @@ def lecture(name):
             lst_t_moy.append(float(t_moy))
             lst_t_ref.append(float(t_ref))
     return(np.array(lst_date), np.array(lst_conso), np.array(lst_t_moy), np.array(lst_t_ref))
-            
-def 
+           
+def numero_jour (date):
+    return date.split("-")[2]
+
+def distance (pos1, pos2):
+    x1, y1, z1 = pos1
+    x2, y2, z2 = pos2
+    return np.sqrt(((x1-x2)**2)+((y1-y2)**2)+((z1-z2)**2))
+    
+def kPlusProches(echantillon, donnees, k):
+    voisins = []  
+    for i in range(len(donnees)):
+        date, conso, t_moy = donnees[i]
+        print(donnees[i])
+        d = distance(echantillon, (date, conso, t_moy))
+        voisins.append((d, i))
+    return [voisins[i][1] for i in range(k)]  
+
+num_jour = []
+
+    
+dates, consos, t_moys, t_refs = lecture("pic-journalier-consommation.csv")
+for date in dates:
+    num_jour.append(numero_jour(date))
+coords = list(zip(num_jour, t_moys, t_refs))
+kPlusProches((13, 21.0, 20.6), coords, 4)
+