Python的多線程

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線程間的關係

# -*- coding:utf-8 -*-__author__ = "MuT6 Sch01aR"import threadingimport timedef MyThread(n):    print("Running Thread",n)    print(threading.current_thread()) #列印當前線程的類型    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()) #計算線程數

 運行結果

主線程和子線程同時執行，然後指令碼執行Mythread函數裡的time.sleep(2)，運行停頓大概2秒

線程數為當前主線程和子線程數之和

 

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()

 這段代碼為主線程啟動的子線程

 

print("Running Main Threading",threading.current_thread())print(threading.active_count())

 這段代碼為主線程執行的線程

 

多線程的等待

 

# -*- coding:utf-8 -*-__author__ = "MuT6 Sch01aR"import threadingimport timeAll_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")

 

 運行，查看結果

該指令碼同時執行主線程和子線程

如果想先執行完子線程再執行主線程，可以使用wait()

# -*- coding:utf-8 -*-__author__ = "MuT6 Sch01aR"import threadingimport timeAll_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")

 運行，查看結果

先執行了子線程，然後停留了大概2秒，再執行了主線程

Python的多線程