added pandas dataframe, start labelling dataset

trial_json.py

@@ -9,6 +9,8 @@ testfile for operating with json-files
 """
 #%% import moduls
 import json
+import numpy as np
+import pandas as pd
 
 #%% define functions
 def findkeys(node, kv):
@@ -40,13 +42,16 @@ def findkeys(node, kv):
                 yield x
                 
                 
-def find_attribut(data,machine,attribut):
-    
-    for c in range(0,len(data)):
-        name_pump = list(findkeys(data[c], "Name"))
-        efficiency_pump = list(findkeys(data[c], attribut))
+def find_attribut(data,attribut):
+        name_pump = list(findkeys(data, "Name"))
+        efficiency_pump = list(findkeys(data, attribut))
         #print("Die Pumpe",name_pump[0],"besitzt den Wirkungsgrad", efficiency_pump[0])
-    return name_pump, efficiency_pump
+        return name_pump, efficiency_pump
+    
+def calculate_efficiency(eta_1, eta_2):
+    eta = eta_1 * eta_2
+    return eta
+
 #%% main script
 with open("test_data.json","r+") as file:
     data = json.load(file)
@@ -66,15 +71,37 @@ for i in a:
             #print("Maschinenart", i, "Das Attribut",x, "hat den Wert", name)
 
 # find specific data
-machine = "Pumps"
+machine = "Motors"
 attribut = "Efficiency"
-data_pumps = data[machine]
-
+data_pumps = data["Pumps"]
+data_motors = data["Motors"]
+dataset = pd.DataFrame()
+#pump_1 = data_pumps[0]
 # Iteration über Attribute einfügen
-name_pump, efficiency_pump = find_attribut(data_pumps, machine, attribut)
-print("Die Pumpe",name_pump[0],"besitzt den Wirkungsgrad", efficiency_pump[0])
+
+for i in range(0,len(data_pumps)):
+    attr_name = list(findkeys(data_pumps[i], "Name"))
+    attr_value = list(findkeys(data_pumps[i], attribut))
+    #attr_name, attr_value = find_attribut(data_pumps[i], attribut)
+    #efficiency_pump)
+    print("Die",machine,attr_name[0],"besitzt das Attribut",attribut, "mit dem Wert", attr_value[0])
     
 
 # multiplicate the pump efficiency with the motor efficiency
 
+eta_motor_1 = list(findkeys(data["Motors"][0], "Efficiency"))[0]
+eta_motor_2 = list(findkeys(data["Motors"][1], "Efficiency"))[0]
+eta_pumpe_1 = list(findkeys(data["Pumps"][0], "Efficiency"))[0]
+eta_pumpe_2 = list(findkeys(data["Pumps"][1], "Efficiency"))[0]
+
 
+count = 0
+#iteration over all pumps and motors
+for p in range(0,len(data_pumps)):
+    for m in range(0,len(data_motors)):
+        eta_pumpe=list(findkeys(data_pumps[p], attribut))[0]/100
+        eta_motor=list(findkeys(data_motors[m], attribut))[0]/100
+        eta_ges = calculate_efficiency(eta_pumpe, eta_motor)
+        dataset[count] = [eta_pumpe,eta_motor,eta_ges]
+        count +=1
+        print(p,m,eta_ges)