[英]Regular expression to capture a group of words followed by a group of formatted quantities
Given the content of a text file (below), I want to extract two values from each line that has the following pattern — capture groups indicated with [#] :给定文本文件的内容(如下),我想从具有以下模式的每一行中提取两个值 - 用[#]指示的捕获组:
The goal is to capture the values under the "Notes" and "2019" columns in the text and put them into a Python dictionary.目标是捕获文本中“Notes”和“2019”列下的值并将它们放入Python字典中。
I tried using the following regular expressions:我尝试使用以下正则表达式:
(\\w+)\\s{1}(\\w+)*
(.*?)[ ]{2,}(.*?)[ ]{2,}(.*?)[ ]{2,}(.*)
Example text file:示例文本文件:
Micro-entity Balance Sheet as at 31 May 2019
Notes 2019 2018
£ £
Fixed Assets 2,046 1,369
Current Assets 53,790 24,799
Creditors: amounts falling due within one year (23,146) (6,106)
Net current assets (liabilities) 30,644 18,693
Total assets less current liabilities 32,690 20,062
Total net assets (liabilities) 32,690 20,062
Capital and reserves 32,690 20,062
For the year ending 31 May 2019 the company was entities to exemption under section 477 of the
Companies Act 2006 relating to small companies
® The members have not required the company to obtain an audit in accordance with section 476 of
the Companies Act 2006.
® The director acknowledge their responsibilities for complying with the requirements of the
Companies Act 2006 with respect to accounting records and the preparation of accounts.
® The accounts have been prepared in accordance with the micro-entity provisions and delivered in
accordance with the provisions applicable to companies subject to the small companies regime.
Approved by the Board on 20 December 2019
And signed on their behalf by:
Director
This document was delivered using electronic communications and authenticated in accordance with the
registrar's rules relating to electronic form, authentication and manner of delivery under section 1072 of
the Companies Act 2006.
Example valid matches:示例有效匹配:
"Fixed Assets", "2,046"
"Current Assets", "53,790"
"Creditors: amounts falling due within one year", "(23,146)"
"Net current assets (liabilities)", "30,644"
"Total assets less current liabilities", "32,690"
"Total net assets (liabilities)", "32,690"
"Capital and reserves", "32,690"
Your first regular expression…你的第一个正则表达式…
(\w+)\s{1}(\w+)*
…is insufficient because the two capture groups do not take into account the spaces between words in the first case or the quantity formatting in the second case. ... 是不够的,因为两个捕获组没有考虑第一种情况下单词之间的空格或第二种情况下的数量格式。
Your second regular expression…你的第二个正则表达式……
(.*?)[ ]{2,}(.*?)[ ]{2,}(.*?)[ ]{2,}(.*)
…is better because it effectively captures groups of words, however eagerly. ...更好,因为它有效地捕获了词组,无论多么急切。
Notes:
笔记:
- You do not need capture groups around the leading and trailing whitespace.
您不需要围绕前导和尾随空格的捕获组。
- You do not need brackets around the space character.
空格字符周围不需要括号。 The bracket indicates a set of characters, but you only have one character in the set.
括号表示一组字符,但您在该组中只有一个字符。
If you modify it slightly by removing the unnecessary capture groups…如果您通过删除不必要的捕获组稍微修改它......
.*? {2,}(.*?) {2,}(.*?) {2,}.*
…you can see that it captures the values under "Notes" and "2019", but it also aggressively captures unwanted text. …您可以看到它捕获了“Notes”和“2019”下的值,但它也积极地捕获了不需要的文本。
You could parse through these matches and discard unwanted ones with Python code.您可以解析这些匹配项并使用 Python 代码丢弃不需要的匹配项。 You don't need a regular expression, but you can be more precise with it.
您不需要正则表达式,但可以更精确地使用它。
Your regular expression captures unwanted data because you're unnecessarily matching any character with .*?
您的正则表达式捕获了不需要的数据,因为您不必要地将任何字符与
.*?
, when you actually want to limit the matches to: ,当您实际上想要将匹配限制为:
Only the lines you care about actually follow this pattern.只有您关心的线条才真正遵循此模式。
Consider this:考虑一下:
^ *((?:\S+ )+) {2,}(\(?[0-9,]+\)?).*$
View @ Regex101.com查看@ Regex101.com
The above regular expression improves the pattern matching in the following ways:上述正则表达式通过以下方式改进了模式匹配:
^
and end of line $
to prevent matching multiple lines.^
和行尾$
以防止匹配多行。(?:\\S+ )+
(?:\\S+ )+
\\S
to capture "words" and punctuation (eg :
).\\S
匹配以捕获“单词”和标点符号(例如:
)。\\(?[0-9,]+\\)?
\\(?[0-9,]+\\)?
But even this returns the unwanted column headers "Notes" and "2019".但即使这样也会返回不需要的列标题“Notes”和“2019”。 You can use a negative lookahead…
(?!Notes)
…to prevent matching the line that contains "Notes".您可以使用否定前瞻...
(?!Notes)
...来防止匹配包含“Notes”的行。
Final solution:最终解决方案:
^ *((?:
(?!Notes)\S+ )+) {2,}((?[0-9,]+)?).*$
View @ Regex101.com
You may find it educational to view it as a syntax diagram:您可能会发现将其视为语法图很有教育意义:
View @ RegExper.com
查看@ RegExper.com
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