英文:
How to iterate HTML file and parse specific data to Dataframe?
问题
我已经查看了各种方法，从BeautifulSoup到XML解析器，我认为一定有一种更简单的方法来迭代遍历HTML文件，将信息解析成一个数据框表格。有许多带有特定部分标题的信息：
<h2 class="chapter-header-western">CHAPTER 1</h2><p class="western" style="line-height: 100%; margin-bottom: 0.08in"><b>1</b>text<p class="western" style="line-height: 100%; margin-bottom: 0.08in"><b>Header</b></p><p align="left" style="line-height: 100%; margin-bottom: 0.08in"><b>2</b>text</p><p align="left" style="line-height: 120%; margin-left: 0.3in; text-indent: -0.3in; margin-bottom: 0.08in"><b>3 </b>text</p><p class="western" style="line-height: 100%; margin-bottom: 0.08in">text <b>4 </b>text<b>5 </b>text<b>6 </b>text</p>
HTML 有点混乱，因为它是从一个docx文件转换而来的，但我只需要解析跟随粗体数字<b>#</b>的每一段文本到它自己的行：
| 章节 | 编号 | 文本 |
|---|---|---|
| 1 | 1 | 文本 |
| 1 | 2 | 文本 |
| 1 | 3 | 文本 |
也许我需要为<b>#</b>创建一个标签作为分隔符？
我尝试使用BeautifulSoup的find_all，但这只返回标签之间的字符串，我需要一种方法来返回在一组标签之后的文本。
英文:
I have looked over various methods from BeautifulSoup to XML parsers and I think that there must be a simpler way to iterate over an HTML file to parse information into a dataframe table. There is a lot of information with specific section headers:
<h2 class="chapter-header-western">CHAPTER 1</h2><p class="western" style="line-height: 100%; margin-bottom: 0.08in"><b>1</b>text<p class="western" style="line-height: 100%; margin-bottom: 0.08in"><b>Header</b></p><p align="left" style="line-height: 100%; margin-bottom: 0.08in"><b>2</b>text</p><p align="left" style="line-height: 120%; margin-left: 0.3in; text-indent: -0.3in; margin-bottom: 0.08in"><b>3 </b>text</p><p class="western" style="line-height: 100%; margin-bottom: 0.08in">text <b>4 </b>text<b>5 </b>text<b>6 </b>text</p>
The html is a bit of a mess being converted from a docx file, but all I need to do is parse each piece of text following the bold numbers <b>#</b> into its own row:
| Chapter | Number | Text |
|---|---|---|
| 1 | 1 | text |
| 1 | 2 | text |
| 1 | 3 | text |
Perhaps I need to make a tag for <b>#</b> as a delineation?
I tried using BeautifulSoup find_all but this only returns strings between tags, and I need a way to return the text following a set of tags.
答案1
得分: 0
基于您的示例，您可以选择所有的<b>元素，并检查文本是否为数字 - 使用find_previous()和next_sibling从左侧和右侧选择所需的信息：
for e in soup.select('b'):if e.get_text(strip=True).isnumeric():data.append({'chapter': e.find_previous('h2').get_text(strip=True).split()[-1],'number': e.get_text(strip=True),'text': e.next_sibling.strip() if e.next_sibling else None})
示例
from bs4 import BeautifulSouphtml = '''<h2 class="chapter-header-western">CHAPTER 1</h2><p class="western" style="line-height: 100%; margin-bottom: 0.08in"><b>1</b>text<p class="western" style="line-height: 100%; margin-bottom: 0.08in"><b>Header</b></p><p align="left" style="line-height: 100%; margin-bottom: 0.08in"><b>2</b>text</p><p align="left" style="line-height: 120%; margin-left: 0.3in; text-indent: -0.3in; margin-bottom: 0.08in"><b>3 </b>text</p><p class="western" style="line-height: 100%; margin-bottom: 0.08in">text <b>4 </b>text<b>5 </b>text<b>6 </b>text</p>'''soup = BeautifulSoup(html)data = []for e in soup.select('b'):if e.get_text(strip=True).isnumeric():data.append({'chapter': e.find_previous('h2').get_text(strip=True).split()[-1],'number': e.get_text(strip=True),'text': e.next_sibling.strip() if e.next_sibling else None})pd.DataFrame(data)
输出
| chapter | number | text | |
|---|---|---|---|
| 0 | 1 | 1 | text |
| 1 | 1 | 2 | text |
| 2 | 1 | 3 | text |
| 3 | 1 | 4 | text |
| 4 | 1 | 5 | text |
| 5 | 1 | 6 | text |
英文:
Based on your example you could select all <b> elements and check if the text isnumeric() - Use find_previous() and next_sibling to select necessary information from left and right:
for e in soup.select('b'):if e.get_text(strip=True).isnumeric():data.append({'chapter': e.find_previous('h2').get_text(strip=True).split()[-1],'number': e.get_text(strip=True),'text': e.next_sibling.strip() if e.next_sibling else None})
Example
from bs4 import BeautifulSouphtml = '''<h2 class="chapter-header-western">CHAPTER 1</h2><p class="western" style="line-height: 100%; margin-bottom: 0.08in"><b>1</b>text<p class="western" style="line-height: 100%; margin-bottom: 0.08in"><b>Header</b></p><p align="left" style="line-height: 100%; margin-bottom: 0.08in"><b>2</b>text</p><p align="left" style="line-height: 120%; margin-left: 0.3in; text-indent: -0.3in; margin-bottom: 0.08in"><b>3 </b>text</p><p class="western" style="line-height: 100%; margin-bottom: 0.08in">text <b>4 </b>text<b>5 </b>text<b>6 </b>text</p>'''soup = BeautifulSoup(html)data = []for e in soup.select('b'):if e.get_text(strip=True).isnumeric():data.append({'chapter': e.find_previous('h2').get_text(strip=True).split()[-1],'number': e.get_text(strip=True),'text': e.next_sibling.strip() if e.next_sibling else None})pd.DataFrame(data)
Output
| chapter | number | text | |
|---|---|---|---|
| 0 | 1 | 1 | text |
| 1 | 1 | 2 | text |
| 2 | 1 | 3 | text |
| 3 | 1 | 4 | text |
| 4 | 1 | 5 | text |
| 5 | 1 | 6 | text |
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