虽然它相当古老，但对一些人来说这可能是一个方便的解决方案:

一个扩展线程模块功能的小模块—— 允许一个线程在另一个线程的上下文中引发异常 线程。通过触发SystemExit，你最终可以杀死python线程。

import threading
import ctypes     

def _async_raise(tid, excobj):
    res = ctypes.pythonapi.PyThreadState_SetAsyncExc(tid, ctypes.py_object(excobj))
    if res == 0:
        raise ValueError("nonexistent 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(tid, 0)
        raise SystemError("PyThreadState_SetAsyncExc failed")

class Thread(threading.Thread):
    def raise_exc(self, excobj):
        assert self.isAlive(), "thread must be started"
        for tid, tobj in threading._active.items():
            if tobj is self:
                _async_raise(tid, excobj)
                return

        # the thread was alive when we entered the loop, but was not found 
        # in the dict, hence it must have been already terminated. should we raise
        # an exception here? silently ignore?

    def terminate(self):
        # must raise the SystemExit type, instead of a SystemExit() instance
        # due to a bug in PyThreadState_SetAsyncExc
        self.raise_exc(SystemExit)

因此，它允许“线程在另一个线程的上下文中引发异常”，通过这种方式，被终止的线程可以处理终止，而无需定期检查中止标志。

然而，根据其原始来源，这段代码有一些问题。

The exception will be raised only when executing python bytecode. If your thread calls a native/built-in blocking function, the exception will be raised only when execution returns to the python code. There is also an issue if the built-in function internally calls PyErr_Clear(), which would effectively cancel your pending exception. You can try to raise it again. Only exception types can be raised safely. Exception instances are likely to cause unexpected behavior, and are thus restricted. For example: t1.raise_exc(TypeError) and not t1.raise_exc(TypeError("blah")). IMHO it's a bug, and I reported it as one. For more info, http://mail.python.org/pipermail/python-dev/2006-August/068158.html I asked to expose this function in the built-in thread module, but since ctypes has become a standard library (as of 2.5), and this feature is not likely to be implementation-agnostic, it may be kept unexposed.

你不应该在没有与线程合作的情况下强行终止线程。

杀死一个线程消除了try/finally阻塞设置的任何保证，所以你可能会让锁锁定，文件打开等等。

唯一可以认为强制终止线程是一个好主意的情况是快速终止程序，但绝不是单个线程。

这似乎与windows 7上的pywin32一起工作

my_thread = threading.Thread()
my_thread.start()
my_thread._Thread__stop()

如果您显式地调用time.sleep()作为线程的一部分(比如轮询一些外部服务)，对Phillipe方法的改进是在sleep()的任何地方使用事件的wait()方法中的超时。

例如:

import threading

class KillableThread(threading.Thread):
    def __init__(self, sleep_interval=1):
        super().__init__()
        self._kill = threading.Event()
        self._interval = sleep_interval

    def run(self):
        while True:
            print("Do Something")

            # If no kill signal is set, sleep for the interval,
            # If kill signal comes in while sleeping, immediately
            #  wake up and handle
            is_killed = self._kill.wait(self._interval)
            if is_killed:
                break

        print("Killing Thread")

    def kill(self):
        self._kill.set()

然后运行它

t = KillableThread(sleep_interval=5)
t.start()
# Every 5 seconds it prints:
#: Do Something
t.kill()
#: Killing Thread

使用wait()而不是sleep()ing和定期检查事件的优点是，您可以在更长的睡眠间隔中编程，线程几乎立即停止(否则您将处于sleep()ing)，并且在我看来，处理退出的代码明显更简单。

没有官方API来做这个，没有。

你需要使用平台API来杀死线程，例如pthread_kill或TerminateThread。你可以访问这样的API，例如通过pythonwin，或通过ctypes。

注意，这本质上是不安全的。这可能会导致不可收集的垃圾(来自堆栈帧的局部变量，成为垃圾)，并可能导致死锁，如果被杀死的线程在被杀死时具有GIL。

虽然它相当古老，但对一些人来说这可能是一个方便的解决方案:

一个扩展线程模块功能的小模块—— 允许一个线程在另一个线程的上下文中引发异常 线程。通过触发SystemExit，你最终可以杀死python线程。

import threading
import ctypes     

def _async_raise(tid, excobj):
    res = ctypes.pythonapi.PyThreadState_SetAsyncExc(tid, ctypes.py_object(excobj))
    if res == 0:
        raise ValueError("nonexistent 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(tid, 0)
        raise SystemError("PyThreadState_SetAsyncExc failed")

class Thread(threading.Thread):
    def raise_exc(self, excobj):
        assert self.isAlive(), "thread must be started"
        for tid, tobj in threading._active.items():
            if tobj is self:
                _async_raise(tid, excobj)
                return

        # the thread was alive when we entered the loop, but was not found 
        # in the dict, hence it must have been already terminated. should we raise
        # an exception here? silently ignore?

    def terminate(self):
        # must raise the SystemExit type, instead of a SystemExit() instance
        # due to a bug in PyThreadState_SetAsyncExc
        self.raise_exc(SystemExit)

因此，它允许“线程在另一个线程的上下文中引发异常”，通过这种方式，被终止的线程可以处理终止，而无需定期检查中止标志。

然而，根据其原始来源，这段代码有一些问题。

The exception will be raised only when executing python bytecode. If your thread calls a native/built-in blocking function, the exception will be raised only when execution returns to the python code. There is also an issue if the built-in function internally calls PyErr_Clear(), which would effectively cancel your pending exception. You can try to raise it again. Only exception types can be raised safely. Exception instances are likely to cause unexpected behavior, and are thus restricted. For example: t1.raise_exc(TypeError) and not t1.raise_exc(TypeError("blah")). IMHO it's a bug, and I reported it as one. For more info, http://mail.python.org/pipermail/python-dev/2006-August/068158.html I asked to expose this function in the built-in thread module, but since ctypes has become a standard library (as of 2.5), and this feature is not likely to be implementation-agnostic, it may be kept unexposed.