这里有一个解决方案，如果你想在进程运行或不运行时打印输出。

我还添加了当前工作目录，这对我来说很有用不止一次。

希望这个解决方案能帮助到别人:)。

import subprocess

def run_command(cmd_and_args, print_constantly=False, cwd=None):
"""Runs a system command.

:param cmd_and_args: the command to run with or without a Pipe (|).
:param print_constantly: If True then the output is logged in continuous until the command ended.
:param cwd: the current working directory (the directory from which you will like to execute the command)
:return: - a tuple containing the return code, the stdout and the stderr of the command
"""
output = []

process = subprocess.Popen(cmd_and_args, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE, cwd=cwd)

while True:
    next_line = process.stdout.readline()
    if next_line:
        output.append(str(next_line))
        if print_constantly:
            print(next_line)
    elif not process.poll():
        break

error = process.communicate()[1]

return process.returncode, '\n'.join(output), error

我想建议你考虑一下simppl。它是一个可以通过pypi: pip install simppl获得的模块，运行在python3上。

Simppl允许用户运行shell命令并从屏幕上读取输出。

开发人员建议使用三种类型的用例:

最简单的用法是这样的: 从simppl。simple_pipeline导入simepipeline sp = SimplePipeline(start=0, end=100): sp.print_and_run(“< YOUR_FIRST_OS_COMMAND >”) sp.print_and_run(“< YOUR_SECOND_OS_COMMAND >”)' ' '

要同时运行多个命令，请使用: commands = ['<YOUR_FIRST_OS_COMMAND>'， '<YOUR_SECOND_OS_COMMAND>'] Max_number_of_processes = 4 max_number_of_processes sp.run_parallel(命令)' ' '

最后，如果你的项目使用cli模块，你可以直接运行另一个command_line_tool作为管道的一部分。另一个工具会 从相同的进程中运行，但它将从日志中显示为 管道中的另一个命令。这使得调试和 重构调用其他工具的工具。 从example_module导入example_tool Sp.print_and_run_clt (example_tool.run， ['first_number'， 'second_nmber']， {'-key1': 'val1'， '-key2': 'val2'}， {“——国旗”})' ' '

请注意，打印到STDOUT/STDERR是通过python的日志模块。

下面是simppl工作原理的完整代码:

import logging
from logging.config import dictConfig

logging_config = dict(
    version = 1,
    formatters = {
        'f': {'format':
              '%(asctime)s %(name)-12s %(levelname)-8s %(message)s'}
        },
    handlers = {
        'h': {'class': 'logging.StreamHandler',
              'formatter': 'f',
              'level': logging.DEBUG}
        },
    root = {
        'handlers': ['h'],
        'level': logging.DEBUG,
        },
)
dictConfig(logging_config)

from simppl.simple_pipeline import SimplePipeline
sp = SimplePipeline(0, 100)
sp.print_and_run('ls')

Vartec的答案不读取所有的行，所以我做了一个版本:

def run_command(command):
    p = subprocess.Popen(command,
                         stdout=subprocess.PIPE,
                         stderr=subprocess.STDOUT)
    return iter(p.stdout.readline, b'')

用法与公认的答案相同:

command = 'mysqladmin create test -uroot -pmysqladmin12'.split()
for line in run_command(command):
    print(line)

拆分子进程的初始命令可能非常棘手和麻烦。

使用shlex.split()来帮助自己。

示例命令

Git log -n 5——5年前到2年前

的代码

from subprocess import check_output
from shlex import split

res = check_output(split('git log -n 5 --since "5 years ago" --until "2 year ago"'))
print(res)
>>> b'commit 7696ab087a163e084d6870bb4e5e4d4198bdc61a\nAuthor: Artur Barseghyan...'

如果没有shlex.split()，代码将如下所示

res = check_output([
    'git', 
    'log', 
    '-n', 
    '5', 
    '--since', 
    '5 years ago', 
    '--until', 
    '2 year ago'
])
print(res)
>>> b'commit 7696ab087a163e084d6870bb4e5e4d4198bdc61a\nAuthor: Artur Barseghyan...'

出于某种原因，这个方法适用于Python 2.7，你只需要导入操作系统!

import os 

def bash(command):
    output = os.popen(command).read()
    return output

print_me = bash('ls -l')
print(print_me)

这里有一个解决方案，如果你想在进程运行或不运行时打印输出。

我还添加了当前工作目录，这对我来说很有用不止一次。

希望这个解决方案能帮助到别人:)。

import subprocess

def run_command(cmd_and_args, print_constantly=False, cwd=None):
"""Runs a system command.

:param cmd_and_args: the command to run with or without a Pipe (|).
:param print_constantly: If True then the output is logged in continuous until the command ended.
:param cwd: the current working directory (the directory from which you will like to execute the command)
:return: - a tuple containing the return code, the stdout and the stderr of the command
"""
output = []

process = subprocess.Popen(cmd_and_args, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE, cwd=cwd)

while True:
    next_line = process.stdout.readline()
    if next_line:
        output.append(str(next_line))
        if print_constantly:
            print(next_line)
    elif not process.poll():
        break

error = process.communicate()[1]

return process.returncode, '\n'.join(output), error