old_contents: #Used pprint for debugging
  from pprint import pprint
  
  def readFile():
      #This function returns the file as a list where every line is an element
      try:
          myFile = open("cars.dat.txt","r")
          #myFile = open(input("Please write the name of the file including extension: "),"r")
      except:
          print ("There is no such file")
          readFile()
      fileList = []
      for line in myFile:
          fileList.append(line)
      return fileList
  
  def dataExtractor(list_,start,end):
      #This function uses substrings to create a list with only the data needed
      dataList = []
      for index in range(0,len(list_)):
          if index % 2 == 0:
              evenLine = list_[index]
              dataList.append(evenLine[start:end])
      return dataList
  
  def avgInList(list_):
      #This function takes a list and returns the average of its elements
      avgSum = 0
      for element in list_:
          element = float(element)
          avgSum += element
      average = avgSum/len(list_)
      return average
  #We create the list
  csvFile = readFile()
  '''
      Here we create the 3 lists that containg the data for
      Miles per Gallon in City and Highway and the average midrange
      Price of the vehicles
  '''
  cityMPG = dataExtractor(csvFile,52,54)
  
  highwayMPG = dataExtractor(csvFile,55,57)
  
  avgPrice = dataExtractor(csvFile,42,46)
  
  #We take the values, get the average, then convert them to float
  
  avgCityMPG = float("%.2f" % avgInList(cityMPG))
  
  avgHighwayMPG = float("%.2f" % avgInList(highwayMPG))
  
  avgPrice = float("%.2f" % avgInList(avgPrice))
  
  #Simply print the results
  print ("The average MPG in the city is: {}\n \
  The average MPG in the Highway is: {}\n \
  The average price of these cars is: {}".format(avgCityMPG,avgHighwayMPG,avgPrice))
  
new_contents: '''
      Sadly this program only works with the file given which is cars.dat.txt, 
      of course the code can be modified , 
      I tried to make it as easy as possible for that
  '''
  
  #Used pprint for debugging
  from pprint import pprint
  
  def readFile():
      #This function returns the file as a list where every line is an element
      try:
          myFile = open("cars.dat.txt","r")
          #myFile = open(input("Please write the name of the file including extension: "),"r")
      except:
          print ("There is no such file")
          readFile()
      fileList = []
      for line in myFile:
          fileList.append(line)
      return fileList
  
  def dataExtractor(list_,start,end):
      #This function uses substrings to create a list with only the data needed
      dataList = []
      for index in range(0,len(list_)):
          if index % 2 == 0:
              evenLine = list_[index]
              dataList.append(evenLine[start:end])
      return dataList
  
  def avgInList(list_):
      #This function takes a list and returns the average of its elements
      avgSum = 0
      for element in list_:
          element = float(element)
          avgSum += element
      average = avgSum/len(list_)
      return average
  #We create the list
  csvFile = readFile()
  '''
      Here we create the 3 lists that containg the data for
      Miles per Gallon in City and Highway and the average midrange
      Price of the vehicles
  '''
  cityMPG = dataExtractor(csvFile,52,54)
  
  highwayMPG = dataExtractor(csvFile,55,57)
  
  avgPrice = dataExtractor(csvFile,42,46)
  
  #We take the values, get the average, then convert them to float
  
  avgCityMPG = float("%.2f" % avgInList(cityMPG))
  
  avgHighwayMPG = float("%.2f" % avgInList(highwayMPG))
  
  avgPrice = float("%.2f" % avgInList(avgPrice))
  
  #Simply print the results
  print ("The average MPG in the city is: {}\n \
  The average MPG in the Highway is: {}\n \
  The average price of these cars is: {}".format(avgCityMPG,avgHighwayMPG,avgPrice))
  
subject: Update csv.py