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3种python调用其他脚本的方法

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1.用python调用python脚本 #!/usr/local/bin/python3.7import timeimport os count = 0str = ('python b.py')result1 = os.system(str)print(result1)while True: count = count + 1 if count == 8: print('this count is:',count) break else: time.sle

1.用python调用python脚本

#!/usr/local/bin/python3.7
import time
import os 
count = 0
str = ('python b.py')
result1 = os.system(str)
print(result1)
while True:
  count = count + 1
  if count == 8:
   print('this count is:',count) 
   break
  else:
   time.sleep(1)
   print('this count is:',count)  
print('Good Bye')

另外一个python脚本b.py如下:

#!/usr/local/bin/python3.7
print('hello world')

运行结果:

[python@master2 while]$ python a.py
hello world
this count is: 1
this count is: 2
this count is: 3
this count is: 4
this count is: 5
this count is: 6
this count is: 7
this count is: 8
Good Bye

2.python调用shell方法os.system()

#!/usr/local/bin/python3.7
import time
import os 
count = 0
n = os.system('sh b.sh')
while True:
  count = count + 1
  if count == 8:
   print('this count is:',count) 
   break
  else:
   time.sleep(1)
   print('this count is:',count)  
print('Good Bye')

shell脚本如下:

#!/bin/sh
echo "hello world"

运行结果:

[python@master2 while]$ python a.py
hello world
this count is: 1
this count is: 2
this count is: 3
this count is: 4
this count is: 5
this count is: 6
this count is: 7
this count is: 8
Good Bye

3.python调用shell方法os.popen()

#!/usr/local/bin/python3.7
import time
import os 
count = 0
n = os.system('sh b.sh')
while True:
  count = count + 1
  if count == 8:
   print('this count is:',count) 
   break
  else:
   time.sleep(1)
   print('this count is:',count)  
print('Good Bye')

运行结果:

[python@master2 while]$ python a.py
<os._wrap_close object at 0x7f7f89377940>
['hello world\n']
this count is: 1
this count is: 2
this count is: 3
this count is: 4
this count is: 5
this count is: 6
this count is: 7
this count is: 8
Good Bye

os.system.popen() 这个方法会打开一个管道,返回结果是一个连接管道的文件对象,该文件对象的操作方法同open(),可以从该文件对象中读取返回结果。如果执行成功,不会返回状态码,如果执行失败,则会将错误信息输出到stdout,并返回一个空字符串。这里官方也表示subprocess模块已经实现了更为强大的subprocess.Popen()方法。

总结

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