这些答案很适合调试，但对于以编程方式测试异常，isinstance(e, SomeException)可能很方便，因为它也测试SomeException的子类，因此您可以创建应用于异常层次结构的功能。

为了补充Lauritz的答案，我创建了一个用于异常处理的装饰器/包装器，并且包装器记录发生了哪种类型的异常。

class general_function_handler(object):
    def __init__(self, func):
        self.func = func
    def __get__(self, obj, type=None):
        return self.__class__(self.func.__get__(obj, type))
    def __call__(self, *args, **kwargs):
        try:
            retval = self.func(*args, **kwargs)
        except Exception, e :
            logging.warning('Exception in %s' % self.func)
            template = "An exception of type {0} occured. Arguments:\n{1!r}"
            message = template.format(type(e).__name__, e.args)
            logging.exception(message)
            sys.exit(1) # exit on all exceptions for now
        return retval

这可以在类方法或带有装饰器的独立函数上调用:

@general_function_handler

完整的例子请参阅我的博客:http://ryaneirwin.wordpress.com/2014/05/31/python-decorators-and-exception-handling/

使用类型class和as语句

try:#code
except Exception as e:
     m=type(e)
     #m is the class of the exception
     strm=str(m)
     #strm is the string of m

在Python 2中，以下代码很有用

except Exception, exc:

    # This is how you get the type
    excType = exc.__class__.__name__

    # Here we are printing out information about the Exception
    print 'exception type', excType
    print 'exception msg', str(exc)

    # It's easy to reraise an exception with more information added to it
    msg = 'there was a problem with someFunction'
    raise Exception(msg + 'because of %s: %s' % (excType, exc))

获取异常对象所属类的名称:

e.__class__.__name__

使用print_exc()函数也将打印堆栈跟踪，这是任何错误消息的基本信息。

是这样的:

from traceback import print_exc

class CustomException(Exception): pass

try:
    raise CustomException("hi")
except Exception as e:
    print ('type is:', e.__class__.__name__)
    print_exc()
    # print("exception happened!")

你会得到这样的输出:

type is: CustomException
Traceback (most recent call last):
  File "exc.py", line 7, in <module>
    raise CustomException("hi")
CustomException: hi

在打印和分析之后，代码可以决定不处理异常，只执行raise:

from traceback import print_exc

class CustomException(Exception): pass

def calculate():
    raise CustomException("hi")

try:
    calculate()
except CustomException as e:
    # here do some extra steps in case of CustomException
    print('custom logic doing cleanup and more')
    # then re raise same exception
    raise

输出:

custom logic doing cleanup and more

和解释器打印异常:

Traceback (most recent call last):
  File "test.py", line 9, in <module>
    calculate()
  File "test.py", line 6, in calculate
    raise CustomException("hi")
__main__.CustomException: hi

引发后，原始异常继续向上传播调用堆栈。(注意可能的陷阱)如果你引发新的异常，它会携带新的(更短的)堆栈跟踪。

from traceback import print_exc

class CustomException(Exception):
    def __init__(self, ok):
        self.ok = ok

def calculate():
    raise CustomException(False)

try:
    calculate()
except CustomException as e:
    if not e.ok:
        # Always use `raise` to rethrow exception
        # following is usually mistake, but here we want to stress this point
        raise CustomException(e.ok)
    print("handling exception")

输出:

Traceback (most recent call last):
  File "test.py", line 13, in <module>
    raise CustomException(e.message)
__main__.CustomException: hi    

注意traceback如何不包括第9行中的compute()函数，这是原始异常e的起源。

你的问题是:“我如何才能确切地看到someFunction()中发生了什么导致异常发生?”

在我看来，您不是在问如何处理生产代码中不可预见的异常(正如许多答案所假设的那样)，而是在问如何找出在开发过程中导致特定异常的原因。

最简单的方法是使用调试器，该调试器可以在未捕获异常发生的地方停止，最好不要退出，以便您可以检查变量。例如，Eclipse开源IDE中的PyDev可以做到这一点。要在Eclipse中启用该功能，请打开Debug透视图，在Run菜单中选择管理Python异常断点，并在未捕获的异常上检查挂起。