一种用法:测试一些应该引发异常的代码。

try:
    this_should_raise_TypeError()
except TypeError:
    pass
except:
    assert False, "Raised the wrong exception type"
else:
    assert False, "Didn't raise any exception"

(在实践中，这段代码应该被抽象为更通用的测试。)

即使你现在想不出它的用途，你可以打赌它一定会有用处的。下面是一个没有想象力的例子:

其他:

a = [1,2,3]
try:
    something = a[2]
except IndexError:
    print("out of bounds")
else:
    print(something)

没有其他的:

try:
    something = a[2]
except IndexError:
    print("out of bounds")

if "something" in locals():
    print(something)

在这里，如果没有抛出错误，则定义了变量something。您可以在try块之外删除它，但如果定义了变量，则需要进行一些混乱的检测。

Python try-else try语句的可选else子句的预期用途是什么?

其预期用途是，如果没有预期要处理的异常，则为运行更多代码提供上下文。

这个上下文避免意外处理您没有预料到的错误。

但是理解导致else子句运行的确切条件非常重要，因为return、continue和break可以中断到else的控制流。

总之

如果没有异常，并且没有被return、continue或break语句中断，else语句将运行。

其他答案忽略了最后一部分。

从文档中可以看出:

类型的控件流出时，执行可选的else子句 try子句结束

(粗体)。脚注写道:

*目前，控制“从末端流出”，除非在 异常或return、continue或break语句的执行。

它至少需要一个except子句(参见语法)。所以它实际上不是“try-else”，而是“try-except-else(-finally)”，其中else(和finally)是可选的。

Python教程详细说明了预期的用法:

The try ... except statement has an optional else clause, which, when present, must follow all except clauses. It is useful for code that must be executed if the try clause does not raise an exception. For example: for arg in sys.argv[1:]: try: f = open(arg, 'r') except IOError: print 'cannot open', arg else: print arg, 'has', len(f.readlines()), 'lines' f.close() The use of the else clause is better than adding additional code to the try clause because it avoids accidentally catching an exception that wasn’t raised by the code being protected by the try ... except statement.

示例区分else和try块后面的代码

如果处理错误，else块将不会运行。例如:

def handle_error():
    try:
        raise RuntimeError('oops!')
    except RuntimeError as error:
        print('handled a RuntimeError, no big deal.')
    else:
        print('if this prints, we had no error!') # won't print!
    print('And now we have left the try block!')  # will print!

现在,

>>> handle_error()
handled a RuntimeError, no big deal.
And now we have left the try block!

我将添加另一个用例，在处理DB会话时看起来很直接:

    # getting a DB connection 
    conn = db.engine.connect()

    # and binding to a DB session
    session = db.get_session(bind=conn)

    try:
        # we build the query to DB
        q = session.query(MyTable).filter(MyTable.col1 == 'query_val')

        # i.e retrieve one row
        data_set = q.one_or_none()

        # return results
        return [{'col1': data_set.col1, 'col2': data_set.col2, ...}]

    except:
        # here we make sure to rollback the transaction, 
        # handy when we update stuff into DB
        session.rollback()
        raise

    else:
        # when no errors then we can commit DB changes
        session.commit()

    finally:
        # and finally we can close the session
        session.close()

下面是我喜欢使用这种模式的另一个地方:

 while data in items:
     try
        data = json.loads(data)
     except ValueError as e:
        log error
     else:
        # work on the `data`

也许它的用法是:

#debug = []

def debuglog(text, obj=None):
    " Simple little logger. "
    try:
        debug   # does global exist?
    except NameError:
        pass    # if not, don't even bother displaying
    except:
        print('Unknown cause. Debug debuglog().')
    else:
        # debug does exist.
        # Now test if you want to log this debug message
        # from caller "obj"
        try:
            if obj in debug:
                print(text)     # stdout
        except TypeError:
            print('The global "debug" flag should be an iterable.')
        except:
            print('Unknown cause. Debug debuglog().')

def myfunc():
    debuglog('Made it to myfunc()', myfunc)

debug = [myfunc,]
myfunc()

也许这对你也有帮助。