更改命名元组列表的值 [英] Changing values of a list of namedtuples
问题描述
我有一个名为Books
的命名元组列表,并且正在尝试将price
字段增加20%,这确实会更改Books
的值.我尝试这样做:
I have a list of namedtuples named Books
and am trying to increase the price
field by 20% which does change the value of Books
. I tried to do:
from collections import namedtuple
Book = namedtuple('Book', 'author title genre year price instock')
BSI = [
Book('Suzane Collins','The Hunger Games', 'Fiction', 2008, 6.96, 20),
Book('J.K. Rowling', "Harry Potter and the Sorcerer's Stone", 'Fantasy', 1997, 4.78, 12)]
for item in BSI:
item = item.price*1.10
print(item.price)
但是我不断得到:
Traceback (most recent call last):
print(item.price)
AttributeError: 'float' object has no attribute 'price'
我了解我无法在namedtuple中设置字段.我该如何更新price
?
I understand that I cannot set the fields in a namedtuple. How do I go about updating price
?
我试图将其变成一个函数:
I tried to make it into a function:
def restaurant_change_price(rest, newprice):
rest.price = rest._replace(price = rest.price + newprice)
return rest.price
print(restaurant_change_price(Restaurant("Taillevent", "French", "343-3434", "Escargots", 24.50), 25))
但是我收到替换错误:
rest.price = rest._replace(price = rest.price + newprice)
AttributeError: can't set attribute
有人可以让我知道为什么会这样吗?
Can someone let me know why this is happening?
推荐答案
命名元组是不可变的,因此您无法对其进行操作.
Named tuples are immutable, so you cannot manipulate them.
如果您想要可变,可以使用 recordtype
.
If you want something mutable, you can use recordtype
.
from recordtype import recordtype
Book = recordtype('Book', 'author title genre year price instock')
books = [
Book('Suzane Collins','The Hunger Games', 'Fiction', 2008, 6.96, 20),
Book('J.K. Rowling', "Harry Potter and the Sorcerer's Stone", 'Fantasy', 1997, 4.78, 12)]
for book in books:
book.price *= 1.1
print(book.price)
PS:(如果未安装),可能需要pip install recordtype
.
PS: You may need to pip install recordtype
if you don't have it installed.
您还可以继续将namedtuple
与 _replace()
方法.
You may also keep using namedtuple
with using the _replace()
method.
from collections import namedtuple
Book = namedtuple('Book', 'author title genre year price instock')
books = [
Book('Suzane Collins','The Hunger Games', 'Fiction', 2008, 6.96, 20),
Book('J.K. Rowling', "Harry Potter and the Sorcerer's Stone", 'Fantasy', 1997, 4.78, 12)]
for i in range(len(books)):
books[i] = books[i]._replace(price = books[i].price*1.1)
print(books[i].price)
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