正如@Kozyarchuk的回答中提到的，安装跟踪工作。由于这个答案不包含代码，下面是一个工作就绪的示例:

import sys, threading, time 

class TraceThread(threading.Thread): 
    def __init__(self, *args, **keywords): 
        threading.Thread.__init__(self, *args, **keywords) 
        self.killed = False
    def start(self): 
        self._run = self.run 
        self.run = self.settrace_and_run
        threading.Thread.start(self) 
    def settrace_and_run(self): 
        sys.settrace(self.globaltrace) 
        self._run()
    def globaltrace(self, frame, event, arg): 
        return self.localtrace if event == 'call' else None
    def localtrace(self, frame, event, arg): 
        if self.killed and event == 'line': 
            raise SystemExit() 
        return self.localtrace 

def f(): 
    while True: 
        print('1') 
        time.sleep(2)
        print('2') 
        time.sleep(2)
        print('3') 
        time.sleep(2)

t = TraceThread(target=f) 
t.start() 
time.sleep(2.5) 
t.killed = True

它在输出1和2之后停止。3不打印。

多处理。进程可以p.terminate()

如果我想杀死一个线程，但不想使用标志/锁/信号/信号量/事件/任何东西，我就把线程提升到完整的进程。对于只使用几个线程的代码，开销并没有那么糟糕。

例如，这可以方便地终止执行阻塞I/O的助手“线程”

转换很简单:在相关代码中替换所有线程。多线程线程。进程和所有队列。多处理队列。排队并将p.t terminate()所需的调用添加到想要杀死子进程p的父进程中

关于多处理，请参阅Python文档。

例子:

import multiprocessing
proc = multiprocessing.Process(target=your_proc_function, args=())
proc.start()
# Terminate the process
proc.terminate()  # sends a SIGTERM

在Python和任何语言中，突然终止线程通常都是一种糟糕的模式。考虑以下情况:

线程持有一个必须正确关闭的关键资源 线程创建了其他几个线程，这些线程也必须被杀死。

如果你能负担得起(如果你在管理自己的线程)，处理这个问题的好方法是有一个exit_request标志，每个线程都会定期检查它，看看它是否到了退出的时候。

例如:

import threading

class StoppableThread(threading.Thread):
    """Thread class with a stop() method. The thread itself has to check
    regularly for the stopped() condition."""

    def __init__(self,  *args, **kwargs):
        super(StoppableThread, self).__init__(*args, **kwargs)
        self._stop_event = threading.Event()

    def stop(self):
        self._stop_event.set()

    def stopped(self):
        return self._stop_event.is_set()

在这段代码中，当您希望线程退出时，应该在线程上调用stop()，并使用join()等待线程正确退出。线程应该定期检查停止标志。

然而，在某些情况下，您确实需要终止一个线程。例如，当您正在包装一个外部库时，该库正忙于长时间的调用，并且您希望中断它。

下面的代码允许(有一些限制)在Python线程中引发异常:

def _async_raise(tid, exctype):
    '''Raises an exception in the threads with id tid'''
    if not inspect.isclass(exctype):
        raise TypeError("Only types can be raised (not instances)")
    res = ctypes.pythonapi.PyThreadState_SetAsyncExc(ctypes.c_long(tid),
                                                     ctypes.py_object(exctype))
    if res == 0:
        raise ValueError("invalid thread id")
    elif res != 1:
        # "if it returns a number greater than one, you're in trouble,
        # and you should call it again with exc=NULL to revert the effect"
        ctypes.pythonapi.PyThreadState_SetAsyncExc(ctypes.c_long(tid), None)
        raise SystemError("PyThreadState_SetAsyncExc failed")

class ThreadWithExc(threading.Thread):
    '''A thread class that supports raising an exception in the thread from
       another thread.
    '''
    def _get_my_tid(self):
        """determines this (self's) thread id

        CAREFUL: this function is executed in the context of the caller
        thread, to get the identity of the thread represented by this
        instance.
        """
        if not self.isAlive():
            raise threading.ThreadError("the thread is not active")

        # do we have it cached?
        if hasattr(self, "_thread_id"):
            return self._thread_id

        # no, look for it in the _active dict
        for tid, tobj in threading._active.items():
            if tobj is self:
                self._thread_id = tid
                return tid

        # TODO: in python 2.6, there's a simpler way to do: self.ident

        raise AssertionError("could not determine the thread's id")

    def raiseExc(self, exctype):
        """Raises the given exception type in the context of this thread.

        If the thread is busy in a system call (time.sleep(),
        socket.accept(), ...), the exception is simply ignored.

        If you are sure that your exception should terminate the thread,
        one way to ensure that it works is:

            t = ThreadWithExc( ... )
            ...
            t.raiseExc( SomeException )
            while t.isAlive():
                time.sleep( 0.1 )
                t.raiseExc( SomeException )

        If the exception is to be caught by the thread, you need a way to
        check that your thread has caught it.

        CAREFUL: this function is executed in the context of the
        caller thread, to raise an exception in the context of the
        thread represented by this instance.
        """
        _async_raise( self._get_my_tid(), exctype )

(根据Tomer Filiba的《Killable Threads》改编。关于PyThreadState_SetAsyncExc返回值的引用似乎来自旧版本的Python。)

正如文档中所指出的，这不是一个神奇的子弹，因为如果线程在Python解释器之外忙，它将不会捕获中断。

这段代码的一个良好使用模式是让线程捕获特定的异常并执行清理。这样，您可以中断任务，但仍然可以进行适当的清理。

使用setDaemon(True)启动子线程。

def bootstrap(_filename):
    mb = ModelBootstrap(filename=_filename) # Has many Daemon threads. All get stopped automatically when main thread is stopped.

t = threading.Thread(target=bootstrap,args=('models.conf',))
t.setDaemon(False)

while True:
    t.start()
    time.sleep(10) # I am just allowing the sub-thread to run for 10 sec. You can listen on an event to stop execution.
    print('Thread stopped')
    break

您可以在进程中执行命令，然后使用进程id终止它。 我需要在两个线程之间同步，其中一个线程本身不返回。

processIds = []

def executeRecord(command):
    print(command)

    process = subprocess.Popen(command, stdout=subprocess.PIPE)
    processIds.append(process.pid)
    print(processIds[0])

    #Command that doesn't return by itself
    process.stdout.read().decode("utf-8")
    return;


def recordThread(command, timeOut):

    thread = Thread(target=executeRecord, args=(command,))
    thread.start()
    thread.join(timeOut)

    os.kill(processIds.pop(), signal.SIGINT)

    return;

如果您确实需要终止子任务的能力，请使用另一种实现。Multiprocessing和gevent都支持不加选择地杀死一个“线程”。

Python的线程不支持取消。不要尝试。你的代码很可能死锁、损坏或泄漏内存，或者有其他意想不到的“有趣的”难以调试的效果，这种情况很少发生，而且不确定。