这种“下划线”似乎经常出现,我想知道这是Python语言的要求,还是仅仅是一种惯例?
另外,有没有人可以命名并解释哪些函数倾向于有下划线,以及为什么(例如__init__)?
这种“下划线”似乎经常出现,我想知道这是Python语言的要求,还是仅仅是一种惯例?
另外,有没有人可以命名并解释哪些函数倾向于有下划线,以及为什么(例如__init__)?
当前回答
来自Python PEP 8——Python代码风格指南:
Descriptive: Naming Styles The following special forms using leading or trailing underscores are recognized (these can generally be combined with any case convention): _single_leading_underscore: weak "internal use" indicator. E.g. from M import * does not import objects whose name starts with an underscore. single_trailing_underscore_: used by convention to avoid conflicts with Python keyword, e.g. Tkinter.Toplevel(master, class_='ClassName') __double_leading_underscore: when naming a class attribute, invokes name mangling (inside class FooBar, __boo becomes _FooBar__boo; see below). __double_leading_and_trailing_underscore__: "magic" objects or attributes that live in user-controlled namespaces. E.g. __init__, __import__ or __file__. Never invent such names; only use them as documented.
请注意,带有双前导和双尾下划线的名称本质上是为Python本身保留的:“永远不要发明这样的名称;只在文档中使用它们”。
其他回答
来自Python PEP 8——Python代码风格指南:
Descriptive: Naming Styles The following special forms using leading or trailing underscores are recognized (these can generally be combined with any case convention): _single_leading_underscore: weak "internal use" indicator. E.g. from M import * does not import objects whose name starts with an underscore. single_trailing_underscore_: used by convention to avoid conflicts with Python keyword, e.g. Tkinter.Toplevel(master, class_='ClassName') __double_leading_underscore: when naming a class attribute, invokes name mangling (inside class FooBar, __boo becomes _FooBar__boo; see below). __double_leading_and_trailing_underscore__: "magic" objects or attributes that live in user-controlled namespaces. E.g. __init__, __import__ or __file__. Never invent such names; only use them as documented.
请注意,带有双前导和双尾下划线的名称本质上是为Python本身保留的:“永远不要发明这样的名称;只在文档中使用它们”。
在Python中,在函数名中使用下划线表示该函数用于内部使用,不应由用户直接调用。这是一种约定,用于表明函数是“私有的”,而不是模块的公共API的一部分。但是,它不是由语言强制执行的,如果用户选择这样做,仍然可以由用户调用。
双下划线包围的名称对Python来说是“特殊的”。它们在Python语言参考第3节“数据模型”中列出。
增加了一个例子来理解__在python中的使用。这里是所有__的列表
https://docs.python.org/3/genindex-all.html#_
某些类型的标识符(除了关键字)具有特殊的 的意思。在任何其他上下文中,任何*名称的使用都不会 遵循明确的文件使用,是受破损没有 警告
使用__的访问限制
"""
Identifiers:
- Contain only (A-z, 0-9, and _ )
- Start with a lowercase letter or _.
- Single leading _ : private
- Double leading __ : strong private
- Start & End __ : Language defined Special Name of Object/ Method
- Class names start with an uppercase letter.
-
"""
class BankAccount(object):
def __init__(self, name, money, password):
self.name = name # Public
self._money = money # Private : Package Level
self.__password = password # Super Private
def earn_money(self, amount):
self._money += amount
print("Salary Received: ", amount, " Updated Balance is: ", self._money)
def withdraw_money(self, amount):
self._money -= amount
print("Money Withdraw: ", amount, " Updated Balance is: ", self._money)
def show_balance(self):
print(" Current Balance is: ", self._money)
account = BankAccount("Hitesh", 1000, "PWD") # Object Initalization
# Method Call
account.earn_money(100)
# Show Balance
print(account.show_balance())
print("PUBLIC ACCESS:", account.name) # Public Access
# account._money is accessible because it is only hidden by convention
print("PROTECTED ACCESS:", account._money) # Protected Access
# account.__password will throw error but account._BankAccount__password will not
# because __password is super private
print("PRIVATE ACCESS:", account._BankAccount__password)
# Method Call
account.withdraw_money(200)
# Show Balance
print(account.show_balance())
# account._money is accessible because it is only hidden by convention
print(account._money) # Protected Access
实际上,当我需要区分父类名和子类名时,我使用_方法名。我读过一些使用这种方式创建父-子类的代码。作为一个例子,我可以提供以下代码:
class ThreadableMixin:
def start_worker(self):
threading.Thread(target=self.worker).start()
def worker(self):
try:
self._worker()
except tornado.web.HTTPError, e:
self.set_status(e.status_code)
except:
logging.error("_worker problem", exc_info=True)
self.set_status(500)
tornado.ioloop.IOLoop.instance().add_callback(self.async_callback(self.results))
...
还有带有_worker方法的子函数
class Handler(tornado.web.RequestHandler, ThreadableMixin):
def _worker(self):
self.res = self.render_string("template.html",
title = _("Title"),
data = self.application.db.query("select ... where object_id=%s", self.object_id)
)
...