同样在python3中，你可能会发现使用Extended Iterable Unpacking来处理可选的位置参数很方便，没有额外的依赖关系:

try:
   _, arg1, arg2, arg3, *_ = sys.argv + [None] * 2
except ValueError:
   print("Not enough arguments", file=sys.stderr) # unhandled exception traceback is meaningful enough also
   exit(-1)

上面的argv解包使arg2和arg3成为“可选的”——如果在argv中没有指定它们，它们将是None，而如果没有指定第一个，ValueError将被解析:

Traceback (most recent call last):
  File "test.py", line 3, in <module>
    _, arg1, arg2, arg3, *_ = sys.argv + [None] * 2
ValueError: not enough values to unpack (expected at least 4, got 3)

我自己也使用optparse，但是非常喜欢Simon Willison最近引入的optfunc库。它的工作原理是:

“自省一个函数 定义(包括其参数) 以及它们的默认值)和使用 构造一个命令行 参数解析器。”

例如，这个函数定义:

def geocode(s, api_key='', geocoder='google', list_geocoders=False):

被转换为以下optparse帮助文本:

    Options:
      -h, --help            show this help message and exit
      -l, --list-geocoders
      -a API_KEY, --api-key=API_KEY
      -g GEOCODER, --geocoder=GEOCODER

只是四处宣传argparse，因为这些原因它更好。从本质上讲:

(从链接复制)

argparse module can handle positional and optional arguments, while optparse can handle only optional arguments argparse isn’t dogmatic about what your command line interface should look like - options like -file or /file are supported, as are required options. Optparse refuses to support these features, preferring purity over practicality argparse produces more informative usage messages, including command-line usage determined from your arguments, and help messages for both positional and optional arguments. The optparse module requires you to write your own usage string, and has no way to display help for positional arguments. argparse supports action that consume a variable number of command-line args, while optparse requires that the exact number of arguments (e.g. 1, 2, or 3) be known in advance argparse supports parsers that dispatch to sub-commands, while optparse requires setting allow_interspersed_args and doing the parser dispatch manually

我个人最喜欢的是:

Argparse允许类型和 add_argument()的操作参数 用simple指定 调用对象，而optparse需要 破解类属性，比如 获取STORE_ACTIONS或CHECK_METHODS 正确的参数检查

import argparse

parser = argparse.ArgumentParser(description='Process some integers.')
parser.add_argument('integers', metavar='N', type=int, nargs='+',
                   help='an integer for the accumulator')
parser.add_argument('--sum', dest='accumulate', action='store_const',
                   const=sum, default=max,
                   help='sum the integers (default: find the max)')

args = parser.parse_args()
print(args.accumulate(args.integers))

Assuming the Python code above is saved into a file called prog.py
$ python prog.py -h

Ref-link: https://docs.python.org/3.3/library/argparse.html

标准库中的规范解决方案是argparse (docs):

这里有一个例子:

from argparse import ArgumentParser

parser = ArgumentParser()
parser.add_argument("-f", "--file", dest="filename",
                    help="write report to FILE", metavar="FILE")
parser.add_argument("-q", "--quiet",
                    action="store_false", dest="verbose", default=True,
                    help="don't print status messages to stdout")

args = parser.parse_args()

Argparse支持(除其他外):

任意顺序的多个选项。 选择做空和做多。 默认值。 生成使用帮助消息。

还有一个选项是argh。它建立在argparse的基础上，让你可以写这样的东西:

import argh

# declaring:

def echo(text):
    "Returns given word as is."
    return text

def greet(name, greeting='Hello'):
    "Greets the user with given name. The greeting is customizable."
    return greeting + ', ' + name

# assembling:

parser = argh.ArghParser()
parser.add_commands([echo, greet])

# dispatching:

if __name__ == '__main__':
    parser.dispatch()

它将自动生成帮助等等，您可以使用装饰器来提供关于参数解析应该如何工作的额外指导。