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前言

在命令行中使用python 的标准格式为:


python [option] ... [-c cmd | -m mod | file | -] [arg] ...


运行

python --help

可以查看具体可用的选项参数与环境变量释义

python --help
usage: python [option] ... [-c cmd | -m mod | file | -] [arg] ...
Options and arguments (and corresponding environment variables):
-b     : issue warnings about str(bytes_instance), str(bytearray_instance)
         and comparing bytes/bytearray with str. (-bb: issue errors)
-B     : don't write .pyc files on import; also PYTHONDONTWRITEBYTECODE=x
-c cmd : program passed in as string (terminates option list)
-d     : turn on parser debugging output (for experts only, only works on
         debug builds); also PYTHONDEBUG=x
-E     : ignore PYTHON* environment variables (such as PYTHONPATH)
-h     : print this help message and exit (also --help)
-i     : inspect interactively after running script; forces a prompt even
         if stdin does not appear to be a terminal; also PYTHONINSPECT=x
-I     : isolate Python from the user's environment (implies -E and -s)
-m mod : run library module as a script (terminates option list)
-O     : remove assert and __debug__-dependent statements; add .opt-1 before
         .pyc extension; also PYTHONOPTIMIZE=x
-OO    : do -O changes and also discard docstrings; add .opt-2 before
         .pyc extension
-q     : don't print version and copyright messages on interactive startup
-s     : don't add user site directory to sys.path; also PYTHONNOUSERSITE
-S     : don't imply 'import site' on initialization
-u     : force the stdout and stderr streams to be unbuffered;
         this option has no effect on stdin; also PYTHONUNBUFFERED=x
-v     : verbose (trace import statements); also PYTHONVERBOSE=x
         can be supplied multiple times to increase verbosity
-V     : print the Python version number and exit (also --version)
         when given twice, print more information about the build
-W arg : warning control; arg is action:message:category:module:lineno
         also PYTHONWARNINGS=arg
-x     : skip first line of source, allowing use of non-Unix forms of #!cmd
-X opt : set implementation-specific option. The following options are available:

         -X faulthandler: enable faulthandler
         -X oldparser: enable the traditional LL(1) parser; also PYTHONOLDPARSER
         -X showrefcount: output the total reference count and number of used
             memory blocks when the program finishes or after each statement in the
             interactive interpreter. This only works on debug builds
         -X tracemalloc: start tracing Python memory allocations using the
             tracemalloc module. By default, only the most recent frame is stored in a
             traceback of a trace. Use -X tracemalloc=NFRAME to start tracing with a
             traceback limit of NFRAME frames
         -X importtime: show how long each import takes. It shows module name,
             cumulative time (including nested imports) and self time (excluding
             nested imports). Note that its output may be broken in multi-threaded
             application. Typical usage is python3 -X importtime -c 'import asyncio'
         -X dev: enable CPython's "development mode", introducing additional runtime
             checks which are too expensive to be enabled by default. Effect of the
             developer mode:
                * Add default warning filter, as -W default
                * Install debug hooks on memory allocators: see the PyMem_SetupDebugHooks() C function
                * Enable the faulthandler module to dump the Python traceback on a crash
                * Enable asyncio debug mode
                * Set the dev_mode attribute of sys.flags to True
                * io.IOBase destructor logs close() exceptions
         -X utf8: enable UTF-8 mode for operating system interfaces, overriding the default
             locale-aware mode. -X utf8=0 explicitly disables UTF-8 mode (even when it would
             otherwise activate automatically)
         -X pycache_prefix=PATH: enable writing .pyc files to a parallel tree rooted at the
             given directory instead of to the code tree

--check-hash-based-pycs always|default|never:
    control how Python invalidates hash-based .pyc files
file   : program read from script file
-      : program read from stdin (default; interactive mode if a tty)
arg ...: arguments passed to program in sys.argv[1:]

Other environment variables:
PYTHONSTARTUP: file executed on interactive startup (no default)
PYTHONPATH   : ':'-separated list of directories prefixed to the
               default module search path.  The result is sys.path.
PYTHONHOME   : alternate <prefix> directory (or <prefix>:<exec_prefix>).
               The default module search path uses <prefix>/lib/pythonX.X.
PYTHONPLATLIBDIR : override sys.platlibdir.
PYTHONCASEOK : ignore case in 'import' statements (Windows).
PYTHONUTF8: if set to 1, enable the UTF-8 mode.
PYTHONIOENCODING: Encoding[:errors] used for stdin/stdout/stderr.
PYTHONFAULTHANDLER: dump the Python traceback on fatal errors.
PYTHONHASHSEED: if this variable is set to 'random', a random value is used
   to seed the hashes of str and bytes objects.  It can also be set to an
   integer in the range [0,4294967295] to get hash values with a
   predictable seed.
PYTHONMALLOC: set the Python memory allocators and/or install debug hooks
   on Python memory allocators. Use PYTHONMALLOC=debug to install debug
   hooks.
PYTHONCOERCECLOCALE: if this variable is set to 0, it disables the locale
   coercion behavior. Use PYTHONCOERCECLOCALE=warn to request display of
   locale coercion and locale compatibility warnings on stderr.
PYTHONBREAKPOINT: if this variable is set to 0, it disables the default
   debugger. It can be set to the callable of your debugger of choice.
PYTHONDEVMODE: enable the development mode.
PYTHONPYCACHEPREFIX: root directory for bytecode cache (pyc) files.

本文更进一步地介绍一下

python -m

应用

如上图的

python --help

所示，

python -m

主要是将python 的模块代码作为脚本运行，单看这句话，可能会有所疑惑“那

python -m script

与之间的

python script.py

有啥差别呢？”。

1. python -m script 与 python script.py的异同点

考虑如下文件结构：

1.1 运行package时


package1.__main__.py

代码如下：

#package1.__main__.py
print("I am package1.__main__.py")
import sys
print(sys.path)
print(__name__)
print(__package__)

在python_m路径下终端运行

python package1

显示如下：

I am package1.__main__.py
['/media/hove/Backup/python_m/package1', '/media/hove/Backup/ros_workspace/devel/lib/python2.7/dist-packages', '/opt/ros/melodic/lib/python2.7/dist-packages', '/home/hove/anaconda3/lib/python39.zip', '/home/hove/anaconda3/lib/python3.9', '/home/hove/anaconda3/lib/python3.9/lib-dynload', '/home/hove/anaconda3/lib/python3.9/site-packages', '/home/hove/anaconda3/lib/python3.9/site-packages/locket-0.2.1-py3.9.egg']
__main__

在python_m路径下终端运行

python -m package1

显示如下：

I am package1.__main__.py
['/media/hove/Backup/python_m', '/media/hove/Backup/ros_workspace/devel/lib/python2.7/dist-packages', '/opt/ros/melodic/lib/python2.7/dist-packages', '/home/hove/anaconda3/lib/python39.zip', '/home/hove/anaconda3/lib/python3.9', '/home/hove/anaconda3/lib/python3.9/lib-dynload', '/home/hove/anaconda3/lib/python3.9/site-packages', '/home/hove/anaconda3/lib/python3.9/site-packages/locket-0.2.1-py3.9.egg']
__main__
package1

总结：



相同点：

1. 当执行
   
python package1

   与
   
python -m package1

   时，编译器均执行package包下的
   
__main__.py

   文件；
2. 执行
   
python package1

   与
   
python -m package1

   时，编译器均将
   
__main__.py

   作为主程序入口，所以
   
__name__

   均==
   
__main__

   。

不同点

1. 
python package1

   在
   
sys.path

   中添加的是
   
__main__.py

   文件所在的绝对路径；而
   
python -m package1

   添加的是运行命令行时终端所在的绝对路径；
2. 
python package1

   并无保留文件结构，
   
__package__==None

   ；而
   
python -m package1

   保留文件结构
   
__package__==package1

   ;

1.2 当package1中有相对导入文件时


package1.relative_import.py

代码如下：

import sys
print(sys.path)
print(__package__)
from . import function

在python_m路径下终端运行

python package1/relative_import.py

显示如下：

['/media/hove/Backup/python_m/package1', '/media/hove/Backup/ros_workspace/devel/lib/python2.7/dist-packages', '/opt/ros/melodic/lib/python2.7/dist-packages', '/home/hove/anaconda3/lib/python39.zip', '/home/hove/anaconda3/lib/python3.9', '/home/hove/anaconda3/lib/python3.9/lib-dynload', '/home/hove/anaconda3/lib/python3.9/site-packages', '/home/hove/anaconda3/lib/python3.9/site-packages/locket-0.2.1-py3.9.egg']
Traceback (most recent call last):
  File "/media/hove/Backup/python_m/package1/relative_import.py", line 3, in <module>
    from . import function
ImportError: attempted relative import with no known parent package

在python_m路径下终端运行

python -m package1.relative_import

显示如下：

['/media/hove/Backup/python_m', '/media/hove/Backup/ros_workspace/devel/lib/python2.7/dist-packages', '/opt/ros/melodic/lib/python2.7/dist-packages', '/home/hove/anaconda3/lib/python39.zip', '/home/hove/anaconda3/lib/python3.9', '/home/hove/anaconda3/lib/python3.9/lib-dynload', '/home/hove/anaconda3/lib/python3.9/site-packages', '/home/hove/anaconda3/lib/python3.9/site-packages/locket-0.2.1-py3.9.egg']
package1
I am package1.function

总结：

• 由于
  
python package1/relative_import.py

  中的
  
sys.path

  定位到
  
/media/hove/Backup/python_m/package1

  ,且无保留文件结构，编译器无法识别该文件的父文件夹，因此直接运行会出现错误；
• 
python -m package1.relative_import

  保留文件结构，故可以使用相对路径。

可将代码修改如下：

import sys
print(sys.path)
print(__package__)
if __package__ !=None:
    from . import function
else:
    sys.path.append('/media/hove/Backup/python_m')
    import function

1.3

python -m

的其他优势

当运行已安装python库或者系统内嵌python库时，

python -m

可无需了解库的具体安装地址即可运行，具体见第二部分的应用案例。

2. python -m 应用案例

案例一：

 python -m http.server 8888

解释：

运行http.server模块搭建本地局域网，指定端口号为8888，此时运行该命令的文件路径即为其他设备的访问路径。具体见

用python -m http.server搭一个简易的本地局域网

。

案例二：

python3 -m pydoc -p 9999

解释：


运行pydoc 模块，在9999端口上启动http服务，生成HTML格式的官方帮助文档，并可通过浏览器访问。

案例三：

python -m pdb xxx.py 

解释


运行pdb调试模块，在调试模式下运行” xxx.py “脚本

案例四：

“python3.6 -m pip install numpy”

解释：

指定python3.6的pip模块安装numpy库