Python——使用docx从word文档中提取具有特定特征的文本

Question

I have a question on using python to identify texts with certain features from word document

I wish to extract texts that are bold and that have quotations around them for example:

" This is a " sentence " in word document. "

How can I identify the word " sentence " in python?

This is what I have at the moment:

from docx import Document    
document = Document(filepath)
short_list = []
for paragraph in document.paragraphs:
    for run in paragraph.runs:
       if run.bold:
          short_list.append(run.text)

Thank you all for your help!

Answer 1

A bit tricky solution: first convert your docx file to html format using mammoth and then parse it with regex :

import re
import mammoth

with open('file.docx', 'rb') as f:
    html = mammoth.convert_to_html(f).value
    result = re.findall('&quot;<strong>(.*?)<\/strong>&quot;', html)

I've created sample docx file with text in body and in footnote:

Here is my output:

['sentence', 'one more sentence', 'final sentence']

Answer 2

I would assume you cannot.

A docx file is in fact a zip file, and according to the documentation of the Python docx module, the Document object represents the document.xml part of the file. Unfortunately, footnotes are stored in a different part: footnotes.xml.

As on PyPi the modules declares its developpement status as 3-alpha, I suppose that it cannot currently process footnotes.

IMHO, you should first look if there are already open issues about the question, and if yes comment on it, or else fill a new issue on the project page .

Answer 3

Try using below example code:

for paragraph in document.paragraphs:
    if 'sea' in paragraph.text:
        print paragraph.text
        paragraph.text = 'new text containing ocean'

To search in Tables as well, you would need to use something like:

for table in document.tables:
    for cell in table.cells:
        for paragraph in cell.paragraphs:
            if 'sea' in paragraph.text:
               ...

See How to use python-docx to replace text in a Word document and save