我从一个XML文档中窃取了这个，它似乎涵盖了没有硬编码的GIRO的所有情况:

%r{[A-Z]{1,2}[0-9R][0-9A-Z]? [0-9][A-Z]{2}}i

(Ruby语法忽略大小写)

以下是我们处理英国邮政编码问题的方法:

^([A-Za-z]{1,2}[0-9]{1,2}[A-Za-z]?[ ]?)([0-9]{1}[A-Za-z]{2})$

解释:

期望有1或2个a-z字符，上或下都没问题 预期有1到2个数字 期望0或1个a-z字符，上或下精细 允许使用可选空间 期望1个数字 期望有2个a-z，上下都没问题

这将获得大多数格式，然后我们使用db来验证邮政编码是否真实，该数据由openpoint https://www.ordnancesurvey.co.uk/opendatadownload/products.html驱动

希望这能有所帮助

通过经验测试和观察，以及https://en.wikipedia.org/wiki/Postcodes_in_the_United_Kingdom#Validation的确认，以下是我的Python正则表达式版本，可以正确地解析和验证英国邮政编码:

UK_POSTCODE_REGEX = r ' (? P < postcode_area > [a - z] {1,2}) (? P <区> (?:[0 - 9]{1,2})| (?:[0 - 9][a - z])) (? P <部门> [0 - 9])(? P <邮编> [a - z]{2})”

这个正则表达式很简单，并且有捕获组。它不包括所有合法的英国邮政编码的验证，而只考虑字母与数字的位置。

下面是我在代码中如何使用它:

@dataclass
class UKPostcode:
    postcode_area: str
    district: str
    sector: int
    postcode: str

    # https://en.wikipedia.org/wiki/Postcodes_in_the_United_Kingdom#Validation
    # Original author of this regex: @jontsai
    # NOTE TO FUTURE DEVELOPER:
    # Verified through empirical testing and observation, as well as confirming with the Wiki article
    # If this regex fails to capture all valid UK postcodes, then I apologize, for I am only human.
    UK_POSTCODE_REGEX = r'(?P<postcode_area>[A-Z]{1,2})(?P<district>(?:[0-9]{1,2})|(?:[0-9][A-Z]))(?P<sector>[0-9])(?P<postcode>[A-Z]{2})'

    @classmethod
    def from_postcode(cls, postcode):
        """Parses a string into a UKPostcode

        Returns a UKPostcode or None
        """
        m = re.match(cls.UK_POSTCODE_REGEX, postcode.replace(' ', ''))

        if m:
            uk_postcode = UKPostcode(
                postcode_area=m.group('postcode_area'),
                district=m.group('district'),
                sector=m.group('sector'),
                postcode=m.group('postcode')
            )
        else:
            uk_postcode = None

        return uk_postcode


def parse_uk_postcode(postcode):
    """Wrapper for UKPostcode.from_postcode
    """
    uk_postcode = UKPostcode.from_postcode(postcode)
    return uk_postcode

下面是单元测试:

@pytest.mark.parametrize(
    'postcode, expected', [
        # https://en.wikipedia.org/wiki/Postcodes_in_the_United_Kingdom#Validation
        (
            'EC1A1BB',
            UKPostcode(
                postcode_area='EC',
                district='1A',
                sector='1',
                postcode='BB'
            ),
        ),
        (
            'W1A0AX',
            UKPostcode(
                postcode_area='W',
                district='1A',
                sector='0',
                postcode='AX'
            ),
        ),
        (
            'M11AE',
            UKPostcode(
                postcode_area='M',
                district='1',
                sector='1',
                postcode='AE'
            ),
        ),
        (
            'B338TH',
            UKPostcode(
                postcode_area='B',
                district='33',
                sector='8',
                postcode='TH'
            )
        ),
        (
            'CR26XH',
            UKPostcode(
                postcode_area='CR',
                district='2',
                sector='6',
                postcode='XH'
            )
        ),
        (
            'DN551PT',
            UKPostcode(
                postcode_area='DN',
                district='55',
                sector='1',
                postcode='PT'
            )
        )
    ]
)
def test_parse_uk_postcode(postcode, expected):
    uk_postcode = parse_uk_postcode(postcode)
    assert(uk_postcode == expected)

邮政编码可能会发生变化，验证邮政编码的唯一真正方法是拥有完整的邮政编码列表，并查看它是否存在。

但是正则表达式很有用，因为它们:

是否易于使用和实现 是短暂的 都跑得很快 相当容易维护(与完整的邮政编码列表相比) 仍然捕获大多数输入错误

但是正则表达式往往很难维护，特别是对于那些一开始就没有想到它的人来说。所以它一定是:

尽量简单易懂 相对未来的证明

这意味着这个答案中的大多数正则表达式都不够好。例如，我可以看到[a - pr - uwyz][a - hk - y][0-9][ABEHMNPRV-Y]将匹配形式为AA1A的邮政编码区域-但如果添加了新的邮政编码区域，这将是一个令人头疼的问题，因为很难理解它匹配哪些邮政编码区域。

我还想让我的正则表达式匹配邮政编码的前半部分和后半部分。

所以我想到了这个:

(GIR(?=\s*0AA)|(?:[BEGLMNSW]|[A-Z]{2})[0-9](?:[0-9]|(?<=N1|E1|SE1|SW1|W1|NW1|EC[0-9]|WC[0-9])[A-HJ-NP-Z])?)\s*([0-9][ABD-HJLNP-UW-Z]{2})

在PCRE格式中，可以这样写:

/^
  ( GIR(?=\s*0AA) # Match the special postcode "GIR 0AA"
    |
    (?:
      [BEGLMNSW] | # There are 8 single-letter postcode areas
      [A-Z]{2}     # All other postcode areas have two letters
      )
    [0-9] # There is always at least one number after the postcode area
    (?:
      [0-9] # And an optional extra number
      |
      # Only certain postcode areas can have an extra letter after the number
      (?<=N1|E1|SE1|SW1|W1|NW1|EC[0-9]|WC[0-9])
      [A-HJ-NP-Z] # Possible letters here may change, but [IO] will never be used
      )?
    )
  \s*
  ([0-9][ABD-HJLNP-UW-Z]{2}) # The last two letters cannot be [CIKMOV]
$/x

对我来说，这是尽可能多地验证之间的正确平衡，与此同时，未来的验证和易于维护。

在这个列表中添加一个更实用的正则表达式，允许用户输入一个空字符串:

^$|^(([gG][iI][rR] {0,}0[aA]{2})|((([a-pr-uwyzA-PR-UWYZ][a-hk-yA-HK-Y]?[0-9][0-9]?)|(([a-pr-uwyzA-PR-UWYZ][0-9][a-hjkstuwA-HJKSTUW])|([a-pr-uwyzA-PR-UWYZ][a-hk-yA-HK-Y][0-9][abehmnprv-yABEHMNPRV-Y]))) {0,1}[0-9][abd-hjlnp-uw-zABD-HJLNP-UW-Z]{2}))$

这个正则表达式允许大写字母和小写字母，中间有可选的空格

从软件开发人员的角度来看，这个正则表达式对于地址可能是可选的软件很有用。例如，如果用户不想提供他们的地址详细信息

^([A-PR-UWYZ0-9][A-HK-Y0-9][AEHMNPRTVXY0-9]?[ABEHMNPRVWXY0-9]? {1,2}[0-9][ABD-HJLN-UW-Z]{2}|GIR 0AA)$

Regular expression to match valid UK postcodes. In the UK postal system not all letters are used in all positions (the same with vehicle registration plates) and there are various rules to govern this. This regex takes into account those rules. Details of the rules: First half of postcode Valid formats [A-Z][A-Z][0-9][A-Z] [A-Z][A-Z][0-9][0-9] [A-Z][0-9][0-9] [A-Z][A-Z][0-9] [A-Z][A-Z][A-Z] [A-Z][0-9][A-Z] [A-Z][0-9] Exceptions Position - First. Contraint - QVX not used Position - Second. Contraint - IJZ not used except in GIR 0AA Position - Third. Constraint - AEHMNPRTVXY only used Position - Forth. Contraint - ABEHMNPRVWXY Second half of postcode Valid formats [0-9][A-Z][A-Z] Exceptions Position - Second and Third. Contraint - CIKMOV not used

http://regexlib.com/REDetails.aspx?regexp_id=260