Python-сообщество

 def take_head_of_file_four():
    
    with open('D:\\out\\cars.csv', 'r', newline='') as csvifile:
         reader = csv.DictReader(csvifile)
         headers = reader.fieldnames
         counter = 1
        
         for h in headers:
             print(1)

 def take_head_of_file_four():
    
    with open('D:\\out\\cars.csv', 'r', newline='') as csvifile:
         reader = csv.DictReader(csvifile)
         headers = reader.fieldnames
         counter = 1
         print(type(headers))
         list = [1, 3, 5, 7, 9]
         print(type(list))
          
        # Using for loop
         for i in list:
             counter+=1
             print(i + counter)
        
         for i in headers:
             counter+=1
             print(i + str(counter))

 <class 'list'>
<class 'list'>
3
6
9
12
15
Car,MPG,Cylinders,Displacement,Horsepower,Weight,Acceleration,Model,Origin7

 def take_head_of_file_four():
    
    with open('D:\\out\\cars.csv', 'r', newline='') as csvifile:
         reader = csv.DictReader(csvifile)
         headers = reader.fieldnames
         counter = 1
         elements = str(headers).split(",")
         print(type(headers))
         list = [1, 3, 5, 7, 9]
         print(type(list))
          
        # Using for loop
         for i in list:
             counter+=1
             print(i + counter)
        
         for i in headers:
             print(i + "xxx")
        
         for i in elements:
             counter+=1
             print(i + str(counter))

 <class 'list'>
<class 'list'>
3
6
9
12
15
Car,MPG,Cylinders,Displacement,Horsepower,Weight,Acceleration,Model,Originxxx
['Car7
MPG8
Cylinders9
Displacement10
Horsepower11
Weight12
Acceleration13
Model14
Origin']15

 import csv
cars = []
with open('cars.csv') as csv_file:
	reader = csv.reader(csv_file, delimiter=';')
	for row in reader:
		cars.append(row)
for i in range(5):
	print(cars[i])
print('==============================')
print(cars[0][0], cars[0][1])
print('==============================')
print(f'{cars[2][0]}|{cars[2][2]}|{cars[2][8]}')

 ['Car', 'MPG', 'Cylinders', 'Displacement', 'Horsepower', 'Weight', 'Acceleration', 'Model', 'Origin']
['STRING', 'DOUBLE', 'INT', 'DOUBLE', 'DOUBLE', 'DOUBLE', 'DOUBLE', 'INT', 'CAT']
['Chevrolet Chevelle Malibu', '18.0', '8', '307.0', '130.0', '3504.', '12.0', '70', 'US']
['Buick Skylark 320', '15.0', '8', '350.0', '165.0', '3693.', '11.5', '70', 'US']
['Plymouth Satellite', '18.0', '8', '318.0', '150.0', '3436.', '11.0', '70', 'US']
==============================
Car MPG
==============================
Chevrolet Chevelle Malibu|8|US
Process finished with exit code 0

 import csv
# берем исходный файл,преобразовываем в нужный тип данных
def get_list_from_csv(file):
	values = []
	with open(file) as csv_file:
		reader = csv.reader(csv_file, delimiter=';')
		for row in reader:
			values.append(row)
	return values
# получаем значения из колонки
def get_column(table:list, column:int):
	value_from_column = []
	for row in table:
		value_from_column.append(row[column])
	return value_from_column
# получаем уникальные значения
def get_unique_value(value_list):
	temp = set(value_list)
	return list(temp)
# устанавливаем id
def set_id_for_value(value_list):
	temp = enumerate(value_list)
	return list(temp)
cars_list = get_list_from_csv('cars.csv')
cars = get_column(cars_list, 0)
unique_cars= get_unique_value(cars[2:])
cars_with_id = set_id_for_value(unique_cars)
for i in range(10):
	print(cars_with_id[i])
print('=======================')
cars_sort = sorted(cars_with_id, key=lambda v: v[1])
for i in range(10):
	print(cars_sort[i])

 (0, 'AMC Matador')
(1, 'Cadillac Eldorado')
(2, 'Audi 5000')
(3, 'Oldsmobile Cutlass Supreme')
(4, 'Dodge Diplomat')
(5, 'AMC Concord DL 6')
(6, 'Plymouth Fury Gran Sedan')
(7, 'Toyota Corolla Tercel')
(8, 'Saab 900s')
(9, 'Chrysler Lebaron Town @ Country (sw)')
=======================
(180, 'AMC Ambassador Brougham')
(282, 'AMC Ambassador DPL')
(249, 'AMC Ambassador SST')
(158, 'AMC Concord')
(132, 'AMC Concord DL')
(5, 'AMC Concord DL 6')
(287, 'AMC Concord d/l')
(196, 'AMC Gremlin')
(175, 'AMC Hornet')
(77, 'AMC Hornet Sportabout (sw)')