注意:我看到有人(不是@unutbu)改变了引用的答案，使它不再使用vars()['Foo'] -所以我的帖子的主要观点不再适用。

FWIW，这是我的意思是@unutbu的答案只与本地定义的类一起工作-使用eval()而不是vars()将使它与任何可访问的类一起工作，而不仅仅是那些在当前范围内定义的类。

对于那些不喜欢使用eval()的人，还展示了一种避免使用它的方法。

首先，这里有一个具体的例子，演示了使用vars()的潜在问题:

class Foo(object): pass
class Bar(Foo): pass
class Baz(Foo): pass
class Bing(Bar): pass

# unutbu's approach
def all_subclasses(cls):
    return cls.__subclasses__() + [g for s in cls.__subclasses__()
                                       for g in all_subclasses(s)]

print(all_subclasses(vars()['Foo']))  # Fine because  Foo is in scope
# -> [<class '__main__.Bar'>, <class '__main__.Baz'>, <class '__main__.Bing'>]

def func():  # won't work because Foo class is not locally defined
    print(all_subclasses(vars()['Foo']))

try:
    func()  # not OK because Foo is not local to func()
except Exception as e:
    print('calling func() raised exception: {!r}'.format(e))
    # -> calling func() raised exception: KeyError('Foo',)

print(all_subclasses(eval('Foo')))  # OK
# -> [<class '__main__.Bar'>, <class '__main__.Baz'>, <class '__main__.Bing'>]

# using eval('xxx') instead of vars()['xxx']
def func2():
    print(all_subclasses(eval('Foo')))

func2()  # Works
# -> [<class '__main__.Bar'>, <class '__main__.Baz'>, <class '__main__.Bing'>]

这可以通过将eval('ClassName')移动到定义的函数中来改进，这使得它更容易使用，而不会失去使用eval()所获得的额外通用性，这与vars()不同，eval()不是上下文敏感的:

# easier to use version
def all_subclasses2(classname):
    direct_subclasses = eval(classname).__subclasses__()
    return direct_subclasses + [g for s in direct_subclasses
                                    for g in all_subclasses2(s.__name__)]

# pass 'xxx' instead of eval('xxx')
def func_ez():
    print(all_subclasses2('Foo'))  # simpler

func_ez()
# -> [<class '__main__.Bar'>, <class '__main__.Baz'>, <class '__main__.Bing'>]

最后，出于安全考虑，避免使用eval()是可能的，在某些情况下甚至是重要的，所以这里有一个不使用它的版本:

def get_all_subclasses(cls):
    """ Generator of all a class's subclasses. """
    try:
        for subclass in cls.__subclasses__():
            yield subclass
            for subclass in get_all_subclasses(subclass):
                yield subclass
    except TypeError:
        return

def all_subclasses3(classname):
    for cls in get_all_subclasses(object):  # object is base of all new-style classes.
        if cls.__name__.split('.')[-1] == classname:
            break
    else:
        raise ValueError('class %s not found' % classname)
    direct_subclasses = cls.__subclasses__()
    return direct_subclasses + [g for s in direct_subclasses
                                    for g in all_subclasses3(s.__name__)]

# no eval('xxx')
def func3():
    print(all_subclasses3('Foo'))

func3()  # Also works
# -> [<class '__main__.Bar'>, <class '__main__.Baz'>, <class '__main__.Bing'>]

下面是一个没有递归的版本:

def get_subclasses_gen(cls):

    def _subclasses(classes, seen):
        while True:
            subclasses = sum((x.__subclasses__() for x in classes), [])
            yield from classes
            yield from seen
            found = []
            if not subclasses:
                return

            classes = subclasses
            seen = found

    return _subclasses([cls], [])

这与其他实现的不同之处在于它返回原始类。 这是因为它使代码更简单，并且:

class Ham(object):
    pass

assert(issubclass(Ham, Ham)) # True

如果get_subclasses_gen看起来有点奇怪，那是因为它是通过将尾递归实现转换为循环生成器创建的:

def get_subclasses(cls):

    def _subclasses(classes, seen):
        subclasses = sum(*(frozenset(x.__subclasses__()) for x in classes))
        found = classes + seen
        if not subclasses:
            return found

        return _subclasses(subclasses, found)

    return _subclasses([cls], [])

新风格的类(即从object继承的子类，这是Python 3中的默认值)有__subclasses__方法，该方法返回子类:

class Foo(object): pass
class Bar(Foo): pass
class Baz(Foo): pass
class Bing(Bar): pass

下面是子类的名称:

print([cls.__name__ for cls in Foo.__subclasses__()])
# ['Bar', 'Baz']

下面是子类本身:

print(Foo.__subclasses__())
# [<class '__main__.Bar'>, <class '__main__.Baz'>]

确认子类确实将Foo列为基类:

for cls in Foo.__subclasses__():
    print(cls.__base__)
# <class '__main__.Foo'>
# <class '__main__.Foo'>

注意，如果你想要子类，你必须递归:

def all_subclasses(cls):
    return set(cls.__subclasses__()).union(
        [s for c in cls.__subclasses__() for s in all_subclasses(c)])

print(all_subclasses(Foo))
# {<class '__main__.Bar'>, <class '__main__.Baz'>, <class '__main__.Bing'>}

注意，如果一个子类的类定义还没有被执行——例如，如果子类的模块还没有被导入——那么这个子类还不存在，__subclasses__将找不到它。

你提到了“以其名字命名”。由于Python类是一级对象，所以不需要使用带有类名的字符串来代替类或类似的东西。您可以直接使用该类，而且您可能应该这样做。

如果你确实有一个表示类名的字符串，并且你想要找到该类的子类，那么有两个步骤:找到给定其名称的类，然后像上面那样找到带有__subclasses__的子类。

如何从名称中找到类取决于您希望在哪里找到它。如果您希望在与试图定位类的代码相同的模块中找到它，那么

cls = globals()[name]

会起作用，或者在不太可能的情况下，你期望在当地人身上找到它，

cls = locals()[name]

如果这个类可以在任何模块中，那么你的名称字符串应该包含完全限定的名称——比如'pkg.module '。Foo'而不是Foo'。使用importlib加载类的模块，然后检索相应的属性:

import importlib
modname, _, clsname = name.rpartition('.')
mod = importlib.import_module(modname)
cls = getattr(mod, clsname)

无论你如何找到这个类，cls.__subclasses__()将返回它的子类列表。

下面是一个简单但有效的代码版本:

def get_all_subclasses(cls):
    subclass_list = []

    def recurse(klass):
        for subclass in klass.__subclasses__():
            subclass_list.append(subclass)
            recurse(subclass)

    recurse(cls)

    return set(subclass_list)

它的时间复杂度是O(n)如果没有多重继承，n是所有子类的数目。 它比递归地创建列表或使用生成器生成类的函数更有效，后者的复杂度可能是(1)O(nlogn)当类层次结构是平衡树时，或(2)O(n²)当类层次结构是有偏树时。

这个答案不如使用@unutbu提到的特殊内置__subclasses__()类方法好，所以我只是把它作为一个练习。subclasses()函数的定义返回一个字典，该字典将所有子类名称映射到子类本身。

def traced_subclass(baseclass):
    class _SubclassTracer(type):
        def __new__(cls, classname, bases, classdict):
            obj = type(classname, bases, classdict)
            if baseclass in bases: # sanity check
                attrname = '_%s__derived' % baseclass.__name__
                derived = getattr(baseclass, attrname, {})
                derived.update( {classname:obj} )
                setattr(baseclass, attrname, derived)
             return obj
    return _SubclassTracer

def subclasses(baseclass):
    attrname = '_%s__derived' % baseclass.__name__
    return getattr(baseclass, attrname, None)


class BaseClass(object):
    pass

class SubclassA(BaseClass):
    __metaclass__ = traced_subclass(BaseClass)

class SubclassB(BaseClass):
    __metaclass__ = traced_subclass(BaseClass)

print subclasses(BaseClass)

输出:

{'SubclassB': <class '__main__.SubclassB'>,
 'SubclassA': <class '__main__.SubclassA'>}

一般形式的最简单解:

def get_subclasses(cls):
    for subclass in cls.__subclasses__():
        yield from get_subclasses(subclass)
        yield subclass

和类方法，如果你有一个单一的类，你继承:

@classmethod
def get_subclasses(cls):
    for subclass in cls.__subclasses__():
        yield from subclass.get_subclasses()
        yield subclass