changed to transponded

main.py

@@ -2,28 +2,45 @@ import csv
 
 
 def analyze_iris():
+    
     result=[]
     wortDict={}
-    
+    values=[]
     with open("Iris.csv", mode='r', encoding='utf-8') as file:
+            
         reader = csv.reader(file) 
         next(reader, None)  # skip the header if present
         for row in reader:
             txt=row[5]
             tmpValues=row[1:5] # slice row array id 
             tmpValues=[float(x) for x in tmpValues] # Convert from string to float array - typecasting
-            tmpObj = {}
-            tmpObj["max"] = max(tmpValues) # max Value
-            tmpObj["min"] = min(tmpValues) # min Value
-            tmpObj["avg"] = round(sum(tmpValues)/len(tmpValues),2) #durchschnitt und runde auf zwei kommastellen
-            result.append(tmpObj)
+            
+            values.append(tmpValues)
             wortDict[txt] = wortDict.get(txt, 0) + 1
       
-        result.append(wortDict)    
     
-    return result        
+    rows = len(values)
+    cols = len(values[0])   
+    transposedValues = [[0 for _ in range(rows)] for _ in range(cols)]
+    
+    for i in range(rows):
+      for j in range(cols):
+        transposedValues[j][i] = values[i][j]
+        
+    for i in transposedValues:
+       tmpResult={}
+       tmpResult["max"]=max(i)
+       tmpResult["min"]=min(i)
+       tmpResult["avg"]=round(sum(i)/len(i),2)
+       result.append(tmpResult)
+    
+    result.append(wortDict)
+    
+    #print(transposedValues)  
+    print(result)
            
             
-result = analyze_iris()
+
+analyze_iris()
 #print(result)
-print("\n".join([str(i) for i in result]))
+#print("\n".join([str(i) for i in result]))