首页 \ 问答 \ 从列表中创建一个__init__类(make a class __init__ from a list)

从列表中创建一个__init__类(make a class __init__ from a list)

我有这样的东西,硬编码:

class csv_row:
  def __init__(self, name, time, more_stuff):
    self.name = name
    self.time = time
    self.more_stuff = more_stuff

这个类是csv行的表示。 我想要做的是使它更通用,并抓住csv文件的头部并使用它以与此列表相同的方式初始化它。 像这样的东西:

class csv_row:
  def __init__(self, list_of_attrs):
    for column in list_of_attrs:
      # initialize a self.variable with the same name as the column 

例如,csv的标题是[name, time, something] 。 传递的__init__将初始化为:

self.name = name
self.time = time
self.something = something

如何才能做到这一点?


I have something like this, hardcoded:

class csv_row:
  def __init__(self, name, time, more_stuff):
    self.name = name
    self.time = time
    self.more_stuff = more_stuff

this class is the representation of a csv row. What I want to do is make this more generic, and grab the head of the csv file and use it to initialize it in the same way as this list. Something like so:

class csv_row:
  def __init__(self, list_of_attrs):
    for column in list_of_attrs:
      # initialize a self.variable with the same name as the column 

for example, the header for a csv is [name, time, something]. The __init__, when passed that, will initialize with:

self.name = name
self.time = time
self.something = something

How can this be done?


原文:https://stackoverflow.com/questions/23275587
更新时间:2019-12-03 08:14

最满意答案

已经有几个设施来处理这样的事情。 没有必要重新发明轮子:

namedtuple

from collections import namedtuple
headers = ["one", "two", "three"]

CustomRow = namedtuple("CustomRow", headers)

a_row = CustomRow(1, 2, 3)
a_row.one == 1 # True
a_row.two == 2 # True
a_row.three == 3 # True

csv.DictWritercsv.DictReader

import csv

with open("my_file.csv", "rb") as f:
    reader = csv.DictReader(f, ["one", "two", "three"])
    for line in reader:
        print line["one"] # prints the 1st column
        print line["two"] # etc.
        print line["three"] # etc., etc.

There already exist several facilities for dealing with something like this. There is no need to reinvent the wheel:

namedtuple

from collections import namedtuple
headers = ["one", "two", "three"]

CustomRow = namedtuple("CustomRow", headers)

a_row = CustomRow(1, 2, 3)
a_row.one == 1 # True
a_row.two == 2 # True
a_row.three == 3 # True

csv.DictWriter and csv.DictReader

import csv

with open("my_file.csv", "rb") as f:
    reader = csv.DictReader(f, ["one", "two", "three"])
    for line in reader:
        print line["one"] # prints the 1st column
        print line["two"] # etc.
        print line["three"] # etc., etc.
2014-04-24

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