我已经找到了…Else:在运行数据库查询并将这些查询的结果记录到相同风格/类型的单独数据库的情况下，构造非常有用。假设我有很多工作线程，它们都处理提交给队列的数据库查询

#in a long running loop
try:
    query = queue.get()
    conn = connect_to_db(<main db>)
    curs = conn.cursor()
    try:
        curs.execute("<some query on user input that may fail even if sanitized">)
    except DBError:
        logconn = connect_to_db(<logging db>)
        logcurs = logconn.cursor()
        logcurs.execute("<update in DB log with record of failed query")
        logcurs.close()
        logconn.close()
    else:

        #we can't put this in main try block because an error connecting
        #to the logging DB would be indistinguishable from an error in 
        #the mainquery 

        #We can't put this after the whole try: except: finally: block
        #because then we don't know if the query was successful or not

        logconn = connect_to_db(<logging db>)
        logcurs = logconn.cursor()
        logcurs.execute("<update in DB log with record of successful query")
        logcurs.close()
        logconn.close()
        #do something in response to successful query
except DBError:
    #This DBError is because of a problem with the logging database, but 
    #we can't let that crash the whole thread over what might be a
    #temporary network glitch
finally:
    curs.close()
    conn.close()
    #other cleanup if necessary like telling the queue the task is finished

当然，如果您能够区分可能抛出的异常，则不必使用这种方法，但是如果代码对成功的代码段的响应可能会抛出与成功的代码段相同的异常，并且您不能让第二个可能的异常消失，或者在成功时立即返回(在我的例子中，这会杀死线程)，那么这种方法就会派上用场。

我已经找到了…Else:在运行数据库查询并将这些查询的结果记录到相同风格/类型的单独数据库的情况下，构造非常有用。假设我有很多工作线程，它们都处理提交给队列的数据库查询

#in a long running loop
try:
    query = queue.get()
    conn = connect_to_db(<main db>)
    curs = conn.cursor()
    try:
        curs.execute("<some query on user input that may fail even if sanitized">)
    except DBError:
        logconn = connect_to_db(<logging db>)
        logcurs = logconn.cursor()
        logcurs.execute("<update in DB log with record of failed query")
        logcurs.close()
        logconn.close()
    else:

        #we can't put this in main try block because an error connecting
        #to the logging DB would be indistinguishable from an error in 
        #the mainquery 

        #We can't put this after the whole try: except: finally: block
        #because then we don't know if the query was successful or not

        logconn = connect_to_db(<logging db>)
        logcurs = logconn.cursor()
        logcurs.execute("<update in DB log with record of successful query")
        logcurs.close()
        logconn.close()
        #do something in response to successful query
except DBError:
    #This DBError is because of a problem with the logging database, but 
    #we can't let that crash the whole thread over what might be a
    #temporary network glitch
finally:
    curs.close()
    conn.close()
    #other cleanup if necessary like telling the queue the task is finished

当然，如果您能够区分可能抛出的异常，则不必使用这种方法，但是如果代码对成功的代码段的响应可能会抛出与成功的代码段相同的异常，并且您不能让第二个可能的异常消失，或者在成功时立即返回(在我的例子中，这会杀死线程)，那么这种方法就会派上用场。

我发现它非常有用，当你有清理工作要做，即使有例外:

try:
    data = something_that_can_go_wrong()
except Exception as e: # yes, I know that's a bad way to do it...
    handle_exception(e)
else:
    do_stuff(data)
finally:
    clean_up()

错误和异常#处理异常- docs.python.org

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.

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`

else块通常可以用来补充出现在每个except块中的功能。

try:
    test_consistency(valuable_data)
except Except1:
    inconsistency_type = 1
except Except2:
    inconsistency_type = 2
except:
    # Something else is wrong
    raise
else:
    inconsistency_type = 0

"""
Process each individual inconsistency down here instead of
inside the except blocks. Use 0 to mean no inconsistency.
"""

在这种情况下，在每个except块中设置inconsistency_type，以便在无错误情况下在else中补充行为。

当然，我将此描述为某一天可能会出现在您自己的代码中的模式。在这个特定的情况下，您只要在try块之前将inconsistency_type设置为0即可。