python tuples

import pandas as pd
import csv

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

ceditlist=[]
print(type(ceditlist))
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
      else:

          ceditlist.append(row)

amountTuple=()
for row in ceditlist:
    amountTuple+=(float(row[7]),)

print(amountTuple)

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

print("min value :",min(amountTuple))

print("max value :",max(amountTuple))

print("mean value :",sum(amountTuple)//len(amountTuple))

print("median value :",getMedian(amountTuple))

#Mode: The most frequent number—that is, the number that occurs the highest number
# of times.
# mode we can not calculate using set because all element are unique
#print("mode value :",max(set(amountset), key=amountset.count))