线程间的关系
# -*- coding:utf-8 -*-
__author__ = "MuT6 Sch01aR"
import threading
import time
def MyThread(n):
print("Running Thread",n)
print(threading.current_thread()) #打印当前线程的类型
time.sleep(2)
for i in range(20):
t = threading.Thread(target=MyThread,args=(i,))
t.start()
print("Running Main Threading",threading.current_thread())
print(threading.active_count()) #计算线程数
运行结果
主线程和子线程同时执行，然后脚本执行Mythread函数里的time.sleep(2)，运行停顿大概2秒
线程数为当前主线程和子线程数之和
def MyThread(n):
print("Running Thread",n)
print(threading.current_thread())
time.sleep(2)
for i in range(20):
t = threading.Thread(target=MyThread,args=(i,))
t.start()
这段代码为主线程启动的子线程
print("Running Main Threading",threading.current_thread())
print(threading.active_count())
这段代码为主线程执行的线程
多线程的等待
# -*- coding:utf-8 -*-
__author__ = "MuT6 Sch01aR"
import threading
import time
All_Thread = []
def MyThread(n):
print("Running",n,"Thread")
time.sleep(2)
for i in range(20):
t = threading.Thread(target=MyThread,args=(i,))
t.start()
print("Finished All Sub-thread")
运行，查看结果
该脚本同时执行主线程和子线程
如果想先执行完子线程再执行主线程，可以使用wait()
# -*- coding:utf-8 -*-
__author__ = "MuT6 Sch01aR"
import threading
import time
All_Thread = []
def MyThread(n):
print("Running",n,"Thread")
time.sleep(2)
for i in range(20):
t = threading.Thread(target=MyThread,args=(i,))
t.start()
All_Thread.append(t)
for t in All_Thread:
t.join()
print("Finished All Sub-thread")
运行，查看结果
先执行了子线程，然后停留了大概2秒，再执行了主线程