本文实例讲述了python3.5多进程原理与用法。分享给大家供大家参考，具体如下：
进程类：process
示例及代码：
（1）创建函数作为单进程
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#!/usr/bin/env python
# -*- coding:utf-8 -*-
# author:zhengzhengliu
import multiprocessing
import time
#创建函数并将其作为单个进程
def worker(interval):
n = 5 #进程数
while n>0:
print("the time is ：{0}".format(time.ctime())) #初始化时间
time.sleep(interval) #睡眠时间
n-=1
if __name__ == "__main__":
# 创建进程，target：调用对象，args：传参数到对象
p = multiprocessing.process(target=worker,args=(2,))
p.start() #开启进程
print("进程号:",p.pid)
print("进程别名:",p.name)
print("进程存活状态:",p.is_alive())
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运行结果：
进程号: 6784
进程别名: process-1
进程存活状态: true
the time is ：wed nov 1 10:59:03 2017
the time is ：wed nov 1 10:59:05 2017
the time is ：wed nov 1 10:59:07 2017
the time is ：wed nov 1 10:59:09 2017
the time is ：wed nov 1 10:59:11 2017
（2）创建函数作为多进程
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#!/usr/bin/env python
# -*- coding:utf-8 -*-
# author:zhengzhengliu
import multiprocessing
import time
#创建函数作为多进程
def work1(interval):
print("work1...")
time.sleep(interval)
print("end work1...")
def work2(interval):
print("work2...")
time.sleep(interval)
print("end work2...")
def work3(interval):
print("work3...")
time.sleep(interval)
print("end work3...")
if __name__ == "__main__":
p1 = multiprocessing.process(target=work1,args=(1,))
p2 = multiprocessing.process(target=work2,args=(2,))
p3 = multiprocessing.process(target=work3,args=(3,))
p1.start()
p2.start()
p3.start()
print("the number of cpu is %d:"%(multiprocessing.cpu_count())) #打印cpu核数
for p in multiprocessing.active_children(): #循环打印子进程的名称和pid
print("子进程名称：%s，子进程pid：%d" %(p.name,p.pid))
print("ending....")
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运行结果：
the number of cpu is 4:
子进程名称：process-2，子进程pid：7108
子进程名称：process-1，子进程pid：1896
子进程名称：process-3，子进程pid：7952
ending....
work3...
work1...
work2...
end work1...
end work2...
end work3...
注：先运行主进程的内容，再运行子进程
（3）将进程定义成一个类
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#!/usr/bin/env python
# -*- coding:utf-8 -*-
# author:zhengzhengliu
import multiprocessing
import time
#将进程定义为一个类
class clockprocess(multiprocessing.process):
def __init__(self,interval):
multiprocessing.process.__init__(self) #重构了process类里面的构造函数
self.interval = interval
def run(self): #固定用run方法，启动进程自动调用run方法
n = 5
while n>0:
print("the time is {0}".format(time.ctime()))
time.sleep(self.interval)
n-=1
if __name__ == "__main__":
p = clockprocess(2)
p.start()
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运行结果：
the time is wed nov 1 11:31:28 2017
the time is wed nov 1 11:31:30 2017
the time is wed nov 1 11:31:32 2017
the time is wed nov 1 11:31:34 2017
the time is wed nov 1 11:31:36 2017
（4）queue（队列）实现多进程数据传输
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#!/usr/bin/env python
# -*- coding:utf-8 -*-
# author:zhengzhengliu
import multiprocessing
#queue是多进程安全的队列，可以使用实现多进程之间的数据传递
def writer_proc(q):
try:
q.put(1,block=false) #put方法插入数据到队列中
except:
pass
def reader_proc(q):
try:
print(q.get(block=false)) #get方法从队列中读取并删除一个元素
except:
pass
if __name__ == "__main__":
q = multiprocessing.queue()
writer = multiprocessing.process(target=writer_proc,args=(q,))
writer.start()
reader = multiprocessing.process(target=reader_proc,args=(q,))
reader.start()
reader.join()
writer.join()
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运行结果：
1
希望本文所述对大家python程序设计有所帮助。
原文链接：https://blog.csdn.net/loveliuzz/article/details/78411458