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/

你通常不应该用try来捕获所有可能的异常:…除非这太宽泛了。只要抓住那些无论出于什么原因都会发生的事情。如果您真的必须这样做，例如，如果您想在调试时了解有关某个问题的更多信息，那么您应该这样做

try:
    ...
except Exception as ex:
    print ex # do whatever you want for debugging.
    raise    # re-raise exception.

大多数答案指向except(…)as(…):语法(正确)，但同时没有人想谈论房间里的大象，而大象是sys.exc_info()函数。 来自sys模块的文档(重点是我的):

This function returns a tuple of three values that give information about the exception that is currently being handled. (…) If no exception is being handled anywhere on the stack, a tuple containing three None values is returned. Otherwise, the values returned are (type, value, traceback). Their meaning is: type gets the type of the exception being handled (a subclass of BaseException); value gets the exception instance (an instance of the exception type); traceback gets a traceback object (see the Reference Manual) which encapsulates the call stack at the point where the exception originally occurred.

我认为sys.exc_info()可以被视为对原始问题“我如何知道发生了什么类型的异常?”的最直接答案。

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

实际的异常可以通过以下方式捕获:

try:
    i = 1/0
except Exception as e:
    print e

您可以从Python教程中了解有关异常的更多信息。

只要避免捕获异常，Python打印的回溯就会告诉你发生了什么异常。