Python 更改命名元组列表的值
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Changing values of a list of namedtuples
提问by Leon Surrao
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:
我有一个命名的命名元组列表,Books
我试图将price
字段增加20%,这确实改变了Books
. 我试图做:
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)
But I keep getting :
但我不断得到:
Traceback (most recent call last):
print(item.price)
AttributeError: 'float' object has no attribute 'price'
I understand that I cannot set the fields in a namedtuple. How do I go about updating price
?
我知道我无法在命名元组中设置字段。我该如何更新price
?
I tried to make it into a function:
我试图把它变成一个函数:
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))
but I get an error with replace saying:
但我收到一个错误替换说:
rest.price = rest._replace(price = rest.price + newprice)
AttributeError: can't set attribute
Can someone let me know why this is happening?
有人可以让我知道为什么会这样吗?
采纳答案by Sait
Named tuples are immutable, so you cannot manipulate them.
命名元组是不可变的,所以你不能操纵它们。
Right way of doing it:
正确的做法:
If you want something mutable, you can use recordtype
.
如果你想要一些可变的东西,你可以使用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:You may need to pip install recordtype
if you don't have it installed.
PS:pip install recordtype
如果你没有安装它,你可能需要。
Bad way of doing it:
糟糕的做法:
You may also keep using namedtuple
with using the _replace()
method.
您也可以继续namedtuple
使用该_replace()
方法。
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)
回答by LondonRob
This looks like a task for Python's data analysis library, pandas. It's really, really easy to do this sort of thing:
这看起来像是 Python 的数据分析库pandas的任务。做这样的事情真的非常容易:
In [6]: import pandas as pd
In [7]: df = pd.DataFrame(BSI, columns=Book._fields)
In [8]: df
Out[8]:
author title genre year \
0 Suzane Collins The Hunger Games Fiction 2008
1 J.K. Rowling Harry Potter and the Sorcerers Stone Fantasy 1997
price instock
0 6.96 20
1 4.78 12
In [9]: df['price'] *= 100
In [10]: df
Out[10]:
author title genre year \
0 Suzane Collins The Hunger Games Fiction 2008
1 J.K. Rowling Harry Potter and the Sorcerer's Stone Fantasy 1997
price instock
0 696 20
1 478 12
Now isn't that just much, much better than labouring with namedtuple
s?
现在这不是比使用namedtuple
s好得多吗?
回答by Vlad Bezden
In Python >= 3.7 you can use dataclassdecorator with the new variable annotations feature to produce mutable record types:
在 Python >= 3.7 中,您可以使用具有新变量注释功能的数据类装饰器来生成可变记录类型:
from dataclasses import dataclass
@dataclass
class Book:
author: str
title: str
genre: str
year: int
price: float
instock: int
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.price *= 1.10
print(f"New price for '{item.title}' book is {item.price:,.2f}")
Output:
输出:
New price for 'The Hunger Games' book is 7.66
New price for 'Harry Potter and the Sorcerer's Stone' book is 5.26