Python在csv.DictReader（）中返回KeyError

Question

I'm new programming on python(2.x) and even looking for hours i couldn't solve the problem. Python returns a KeyError

The (object).csv file is:

id,name,type
1,low,player

The python code is:

import csv

class Item(object):

    def setup(self, config):
        self.config = config
        self.label = config['label']
        self.name = config['name']
        self.type = config['type']
def create_item(config):
    new_item = Item()
    new_item.setup(config)
    return(new_item)

def populate():
    all_items = {}
    f = open('object.csv', 'rb')
    reader = csv.DictReader(f, delimiter = ',')
    for row in reader:
        new_item = (create_item(row))
        all_items[new_item.label] = new_item 
    return(all_items)

Python returns:

Self.type = config['type']
KeyError: 'type'

The weird thing is that both in csv and in the python code the column header doesn't contain any typing error. When i change the name of "id" column, the error returns to the new header (previously "id"). (The same happens when i add another header and try to read it)

Any help is welcome and sorry for the inconvenience. grateful

Answer 1

 class Item(object):

      def setup(self, config):
          self.config = config
          self.id = config['id']
          self.name = config['name']
          self.type = config['type']

  def create_item(config):
          new_item = Item()
          new_item.setup(config)
          return(new_item)
  def populate():
          all_items = {}
          f = open('test.txt', 'r')
          reader = csv.DictReader(f, delimiter = ',')
          for row in reader:
              new_item = (create_item(row))
              all_items[new_item.id] = new_item
          return(all_items)

output:

things = populate()
things.keys()
dict_keys(['1'])