text: # 7.3. Формат CSV
  
  import csv
  
  ''''
  функция csv.reader - чтение в лист
  функция csv.writer - запись из листа
  класс csv.Dictwriter - класс записи в словарь
  класс csv.DictReader - класс чтения в словарь
  
  '''
  
  # csv.writer
  print('   csv.writer')
  
  car_data = [['brand', 'price', 'year'],['Volvo', 1.5, 2017],['Lada', 0.5, 2018],['Audi', 2.0, 2018]]
  
  with open('example.csv', 'w', newline='') as f:
      writer = csv.writer(f, delimiter = '&') # delimiter = '&'
      writer.writerows(car_data)
  print('Writing complete')
  
  
  print()
  # csv.reader
  print('   csv.reader')
  
  with open('example.csv') as f:
      reader = csv.reader(f, delimiter = '&')
      for row in reader:
          print(row)
  
  
  
  
  print()
  # csv.Dictwriter
  print('   csv.Dictwriter')
  
  data_dict = [{'Name': 'Dima', 'age': '28'},
               {'age': '29', 'Name': 'Kate'},
               {'Name': 'Mike', 'age': '31'}]
  
  fieldnames = ['Name', 'age']
  
  with open('example_1.csv', 'w') as f:
      writer = csv.DictWriter(f, delimiter = '&', fieldnames = fieldnames)
      writer.writeheader()
      for i in range (len(data_dict)):
          writer.writerow(data_dict[i])
  
  
  
  print()
  # csv.DictReader
  print('   csv.DictReader')
  
  with open('example_1.csv') as f:
      reader = csv.DictReader(f, delimiter = '&')
      for row in reader:
          print(dict(row))
  
  
  
  print()
  # Для анализа используют Pandas
  print('    Для анализа используют Pandas')
  
  import pandas as pd
  
  DataFrame_from_csv = pd.read_csv('example_1.csv', sep = '&')
  print(type(DataFrame_from_csv))
  print(DataFrame_from_csv)
  
  