如何在Python中创建类(即静态)变量或方法?


当前回答

python中的静态方法称为classmethods。查看以下代码

class MyClass:

    def myInstanceMethod(self):
        print 'output from an instance method'

    @classmethod
    def myStaticMethod(cls):
        print 'output from a static method'

>>> MyClass.myInstanceMethod()
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
TypeError: unbound method myInstanceMethod() must be called [...]

>>> MyClass.myStaticMethod()
output from a static method

注意,当我们调用方法myInstanceMethod时,会得到一个错误。这是因为它要求在此类的实例上调用该方法。方法myStaticMethod使用decorator@classmethod设置为类方法。

为了好玩,我们可以通过传入类的实例来调用类上的myInstanceMethod,如下所示:

>>> MyClass.myInstanceMethod(MyClass())
output from an instance method

其他回答

类工厂python3.6中的静态变量

对于使用python3.6及更高版本的类工厂的任何人,请使用非本地关键字将其添加到正在创建的类的作用域/上下文中,如下所示:

>>> def SomeFactory(some_var=None):
...     class SomeClass(object):
...         nonlocal some_var
...         def print():
...             print(some_var)
...     return SomeClass
... 
>>> SomeFactory(some_var="hello world").print()
hello world

当然是的,Python本身没有任何静态数据成员,但我们可以这样做

class A:
    counter =0
    def callme (self):
        A.counter +=1
    def getcount (self):
        return self.counter  
>>> x=A()
>>> y=A()
>>> print(x.getcount())
>>> print(y.getcount())
>>> x.callme() 
>>> print(x.getcount())
>>> print(y.getcount())

输出

0
0
1
1

解释

here object (x) alone increment the counter variable
from 0 to 1 by not object y. But result it as "static counter"

python中的静态方法称为classmethods。查看以下代码

class MyClass:

    def myInstanceMethod(self):
        print 'output from an instance method'

    @classmethod
    def myStaticMethod(cls):
        print 'output from a static method'

>>> MyClass.myInstanceMethod()
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
TypeError: unbound method myInstanceMethod() must be called [...]

>>> MyClass.myStaticMethod()
output from a static method

注意,当我们调用方法myInstanceMethod时,会得到一个错误。这是因为它要求在此类的实例上调用该方法。方法myStaticMethod使用decorator@classmethod设置为类方法。

为了好玩,我们可以通过传入类的实例来调用类上的myInstanceMethod,如下所示:

>>> MyClass.myInstanceMethod(MyClass())
output from an instance method

您还可以向类动态添加类变量

>>> class X:
...     pass
... 
>>> X.bar = 0
>>> x = X()
>>> x.bar
0
>>> x.foo
Traceback (most recent call last):
  File "<interactive input>", line 1, in <module>
AttributeError: X instance has no attribute 'foo'
>>> X.foo = 1
>>> x.foo
1

类实例可以更改类变量

class X:
  l = []
  def __init__(self):
    self.l.append(1)

print X().l
print X().l

>python test.py
[1]
[1, 1]

总结其他人的回答并补充,在python中声明静态方法或变量有很多种方法。

1.使用staticmethod()作为装饰符:

可以简单地在声明的方法(函数)上方放置一个修饰符,使其成为静态方法。例如。

class Calculator:
    @staticmethod
    def multiply(n1, n2, *args):
        Res = 1
        for num in args: Res *= num
        return n1 * n2 * Res

print(Calculator.multiply(1, 2, 3, 4))              # 24

2.使用staticmethod()作为参数函数:

此方法可以接收函数类型的参数,并返回传递函数的静态版本。例如。

class Calculator:
    def add(n1, n2, *args):
        return n1 + n2 + sum(args)

Calculator.add = staticmethod(Calculator.add)
print(Calculator.add(1, 2, 3, 4))                   # 10

3.使用classmethod()作为装饰符:

@classmethod对函数的影响与@staticmethod类似,但是这一次,需要在函数中接受一个额外的参数(类似于实例变量的self参数)。例如。

class Calculator:
    num = 0
    def __init__(self, digits) -> None:
        Calculator.num = int(''.join(digits))

    @classmethod
    def get_digits(cls, num):
        digits = list(str(num))
        calc = cls(digits)
        return calc.num

print(Calculator.get_digits(314159))                # 314159

4.使用classmethod()作为参数函数:

@classmethod也可以用作参数函数,以防不想修改类定义。例如。

class Calculator:
    def divide(cls, n1, n2, *args):
        Res = 1
        for num in args: Res *= num
        return n1 / n2 / Res

Calculator.divide = classmethod(Calculator.divide)

print(Calculator.divide(15, 3, 5))                  # 1.0

5.直接申报

在所有其他方法外部但在类内部声明的方法/变量自动是静态的。

class Calculator:   
    def subtract(n1, n2, *args):
        return n1 - n2 - sum(args)

print(Calculator.subtract(10, 2, 3, 4))             # 1

整个计划

class Calculator:
    num = 0
    def __init__(self, digits) -> None:
        Calculator.num = int(''.join(digits))
    
    
    @staticmethod
    def multiply(n1, n2, *args):
        Res = 1
        for num in args: Res *= num
        return n1 * n2 * Res


    def add(n1, n2, *args):
        return n1 + n2 + sum(args)
    

    @classmethod
    def get_digits(cls, num):
        digits = list(str(num))
        calc = cls(digits)
        return calc.num


    def divide(cls, n1, n2, *args):
        Res = 1
        for num in args: Res *= num
        return n1 / n2 / Res


    def subtract(n1, n2, *args):
        return n1 - n2 - sum(args)
    



Calculator.add = staticmethod(Calculator.add)
Calculator.divide = classmethod(Calculator.divide)

print(Calculator.multiply(1, 2, 3, 4))              # 24
print(Calculator.add(1, 2, 3, 4))                   # 10
print(Calculator.get_digits(314159))                # 314159
print(Calculator.divide(15, 3, 5))                  # 1.0
print(Calculator.subtract(10, 2, 3, 4))             # 1

有关掌握Python中的OOP,请参阅Python文档。