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
            
            values.append(tmpValues)
            wortDict[txt] = wortDict.get(txt, 0) + 1
      
    
    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)
           
            

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