composite-data.py

import csv
import copy

myVehicle = {
    "vin" : "<empty>" ,
    "make" : "<empty>" ,
    "model" : "<empty>" ,
    "year" : 0 ,
    "range" : 0 ,
    "topSpeed" : 0 ,
    "zeroSixty" : 0.0 ,
    "mileage" : 0
}

for key, value in myVehicle.items():
    print ("{} : {}" .format (key,value))
myInventoryList = []

with open ('car_fleet.csv') as csvFile:
    csvReader = csv.reader(csvFile, delimiter =',')
    lineCount = 0
    for row in csvReader :
        if lineCount == 0 :
            print (f'Column names are : {", ".join(row)}')
            lineCount += 1
        else:
            print (f'vin : {row [0]} make : {row [1]}, model : {row [2]}, year : {row [3]}, range : {row [4]}, topSpeed : {row [5]}, zeroSixty : {row [6]}, mileage : {row [7]}')
            currentVehicle = copy.deepcopy(myVehicle)
            currentVehicle ["vin"] = row [0]
            currentVehicle ["make"] = row [1]
            currentVehicle ["model"] = row [2]
            currentVehicle ["year"] = row [3]
            currentVehicle ["range"] = row [4]
            currentVehicle ["topSpeed"] = row [5]
            currentVehicle ["zeroSixty"] = row [6]
            currentVehicle ["mileage"] = row [7]
            myInventoryList.append (currentVehicle)
            lineCount += 1
    print (f' Processed {lineCount} lines.')
currentVehicle = copy.deepcopy(myVehicle)

for myCarProperties in myInventoryList :
    for key, value in myCarProperties.items ():
        print ("{} : {}" .format(key,value))
        print ("-----")