def M_add_class_attribs(attribs):
    def foo(name, bases, dict_):
        for v, k in attribs:
            dict_[k] = v
        return type(name, bases, dict_)
    return foo

def enum(*names):
    class Foo(object):
        __metaclass__ = M_add_class_attribs(enumerate(names))
        def __setattr__(self, name, value):  # this makes it read-only
            raise NotImplementedError
    return Foo()

像这样使用它:

Animal = enum('DOG', 'CAT')
Animal.DOG # returns 0
Animal.CAT # returns 1
Animal.DOG = 2 # raises NotImplementedError

如果你只想要唯一的符号，不关心值，替换这行:

__metaclass__ = M_add_class_attribs(enumerate(names))

用这个:

__metaclass__ = M_add_class_attribs((object(), name) for name in names)

def M_add_class_attribs(attribs):
    def foo(name, bases, dict_):
        for v, k in attribs:
            dict_[k] = v
        return type(name, bases, dict_)
    return foo

def enum(*names):
    class Foo(object):
        __metaclass__ = M_add_class_attribs(enumerate(names))
        def __setattr__(self, name, value):  # this makes it read-only
            raise NotImplementedError
    return Foo()

像这样使用它:

Animal = enum('DOG', 'CAT')
Animal.DOG # returns 0
Animal.CAT # returns 1
Animal.DOG = 2 # raises NotImplementedError

如果你只想要唯一的符号，不关心值，替换这行:

__metaclass__ = M_add_class_attribs(enumerate(names))

用这个:

__metaclass__ = M_add_class_attribs((object(), name) for name in names)

我喜欢在Python中这样定义枚举:

class Animal:
  class Dog: pass
  class Cat: pass

x = Animal.Dog

这比使用整数更有漏洞，因为你不必担心确保整数是唯一的(例如，如果你说Dog = 1和Cat = 1，你就完蛋了)。

它比使用字符串更防bug，因为你不必担心拼写错误(例如。 x == "猫"无声失败，但x ==动物。Catt是一个运行时异常)。

附录: 你甚至可以通过让Dog和Cat继承一个具有正确元类的符号类来增强这个解决方案:

class SymbolClass(type):
    def __repr__(self): return self.__qualname__
    def __str__(self): return self.__name__

class Symbol(metaclass=SymbolClass): pass


class Animal:
    class Dog(Symbol): pass
    class Cat(Symbol): pass

然后，如果你使用这些值来索引一个字典，请求它的表示将使它们看起来很漂亮:

>>> mydict = {Animal.Dog: 'Wan Wan', Animal.Cat: 'Nyaa'}
>>> mydict
{Animal.Dog: 'Wan Wan', Animal.Cat: 'Nyaa'}

为什么枚举必须是整数?不幸的是，在不改变Python语言的情况下，我想不出任何好看的构造来生成它，所以我将使用字符串:

class Enumerator(object):
    def __init__(self, name):
        self.name = name

    def __eq__(self, other):
        if self.name == other:
            return True
        return self is other

    def __ne__(self, other):
        if self.name != other:
            return False
        return self is other

    def __repr__(self):
        return 'Enumerator({0})'.format(self.name)

    def __str__(self):
        return self.name

class Enum(object):
    def __init__(self, *enumerators):
        for e in enumerators:
            setattr(self, e, Enumerator(e))
    def __getitem__(self, key):
        return getattr(self, key)

也许现在更好的是，为了配置文件或其他远程输入，我们可以自然地对字符串进行测试。

例子:

class Cow(object):
    State = Enum(
        'standing',
        'walking',
        'eating',
        'mooing',
        'sleeping',
        'dead',
        'dying'
    )
    state = State.standing

In [1]: from enum import Enum

In [2]: c = Cow()

In [3]: c2 = Cow()

In [4]: c.state, c2.state
Out[4]: (Enumerator(standing), Enumerator(standing))

In [5]: c.state == c2.state
Out[5]: True

In [6]: c.State.mooing
Out[6]: Enumerator(mooing)

In [7]: c.State['mooing']
Out[7]: Enumerator(mooing)

In [8]: c.state = Cow.State.dead

In [9]: c.state == c2.state
Out[9]: False

In [10]: c.state == Cow.State.dead
Out[10]: True

In [11]: c.state == 'dead'
Out[11]: True

In [12]: c.state == Cow.State['dead']
Out[11]: True

为了解码二进制文件格式，我曾经需要一个Enum类。我碰巧想要的特性是简洁的枚举定义，通过整数值或字符串自由创建枚举实例的能力，以及有用的表示。这是我最后得出的结论:

>>> class Enum(int):
...     def __new__(cls, value):
...         if isinstance(value, str):
...             return getattr(cls, value)
...         elif isinstance(value, int):
...             return cls.__index[value]
...     def __str__(self): return self.__name
...     def __repr__(self): return "%s.%s" % (type(self).__name__, self.__name)
...     class __metaclass__(type):
...         def __new__(mcls, name, bases, attrs):
...             attrs['__slots__'] = ['_Enum__name']
...             cls = type.__new__(mcls, name, bases, attrs)
...             cls._Enum__index = _index = {}
...             for base in reversed(bases):
...                 if hasattr(base, '_Enum__index'):
...                     _index.update(base._Enum__index)
...             # create all of the instances of the new class
...             for attr in attrs.keys():
...                 value = attrs[attr]
...                 if isinstance(value, int):
...                     evalue = int.__new__(cls, value)
...                     evalue._Enum__name = attr
...                     _index[value] = evalue
...                     setattr(cls, attr, evalue)
...             return cls
... 

使用它的一个异想天开的例子:

>>> class Citrus(Enum):
...     Lemon = 1
...     Lime = 2
... 
>>> Citrus.Lemon
Citrus.Lemon
>>> 
>>> Citrus(1)
Citrus.Lemon
>>> Citrus(5)
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "<stdin>", line 6, in __new__
KeyError: 5
>>> class Fruit(Citrus):
...     Apple = 3
...     Banana = 4
... 
>>> Fruit.Apple
Fruit.Apple
>>> Fruit.Lemon
Citrus.Lemon
>>> Fruit(1)
Citrus.Lemon
>>> Fruit(3)
Fruit.Apple
>>> "%d %s %r" % ((Fruit.Apple,)*3)
'3 Apple Fruit.Apple'
>>> Fruit(1) is Citrus.Lemon
True

主要特点:

str()， int()和repr()都会产生最有用的输出，分别是枚举的名称，它的整数值，以及返回枚举的Python表达式。 构造函数返回的枚举值严格限制为预定义值，没有意外的枚举值。 枚举值是单例的;它们可以与之严格比较

另一个非常简单的Python枚举实现，使用namedtuple:

from collections import namedtuple

def enum(*keys):
    return namedtuple('Enum', keys)(*keys)

MyEnum = enum('FOO', 'BAR', 'BAZ')

,或者

# With sequential number values
def enum(*keys):
    return namedtuple('Enum', keys)(*range(len(keys)))

# From a dict / keyword args
def enum(**kwargs):
    return namedtuple('Enum', kwargs.keys())(*kwargs.values())




# Example for dictionary param:
values = {"Salad": 20, "Carrot": 99, "Tomato": "No i'm not"} 
Vegetables= enum(**values)

# >>> print(Vegetables.Tomato)        'No i'm not'


# Example for keyworded params: 
Fruits = enum(Apple="Steve Jobs", Peach=1, Banana=2)

# >>> print(Fruits.Apple)             'Steve Jobs'

就像上面子类设置的方法一样，这允许:

'FOO' in MyEnum
other = MyEnum.FOO
assert other == MyEnum.FOO

但是具有更大的灵活性，因为它可以有不同的键和值。这允许

MyEnum.FOO < MyEnum.BAR

如果使用填充连续数字值的版本，则按预期操作。