Explore the benefits of using Python namedtuples—a convenient and readable way to define data structures with named fields. Learn how namedtuples enhance code clarity and organization in Python programming.

from collections import namedtuple
import csv
amountdisct =[]

with open("/Users/npblue/PycharmProjects/data/credit.csv", 'r') as file:
  csvreader = csv.reader(file, delimiter=',')
  count=0
  for row in csvreader:
      if count==0:
          count += 1
          Student = namedtuple('Student', row)
      else:
          amountdisct.append(Student(row[0],row[1],row[2],row[3],row[4],row[5],row[6],row[7]))

print("type : ",type(amountdisct))
print(amountdisct)

for credittrasaction in amountdisct:
    print(credittrasaction.AccountNumber)

def getMedian(lst):
    sorted_lst = sorted(lst)
    n = len(sorted_lst)
    if n % 2 == 0:
        middle1 = sorted_lst[n // 2 - 1]
        middle2 = sorted_lst[n // 2]
        median = (middle1 + middle2) / 2
    else:
        median = sorted_lst[n // 2]
    return median

print("Type  :",type(amountdisct))

print("min value :",min(amountdisct.values()))

print("max value :",max(amountdisct.values()))

print("mean value :",sum(amountdisct.values())//len(amountdisct.values()))

print("median value :",getMedian(amountdisct.values()))