import csv


def analyze_iris():
    result=[]
    wortDict={}
    
    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)
            wortDict[txt] = wortDict.get(txt, 0) + 1
        
        result.append(wortDict)    
            
    return result        
            

result = analyze_iris()
#print(result)
print("\n".join([str(i) for i in result]))