[英]How to extract text from a word document in python? (and put the data in df)
I have a big list of folders and files (.docx documents).我有一大堆文件夹和文件(.docx 文档)。 So, what I want to do is to create a df with four columns containing the name of those folders and files, but also I want to extract two values that are inside the word documents.
所以,我想做的是创建一个包含四列的 df,其中包含这些文件夹和文件的名称,而且我还想提取 word 文档中的两个值。 Then the df should have 4 columns: folder, file, value, and date.
然后 df 应该有 4 列:文件夹、文件、值和日期。
I already managed to put the name of the folders and the docx files in a df as shown in the following code.我已经设法将文件夹的名称和 docx 文件放在 df 中,如以下代码所示。
# imports
import os
import pandas as pd
path = ''
data = []
for folder in sorted(os.listdir(path)):
if folder.startswith('HH'):
for file in sorted(os.listdir(path + '/' + folder)):
if file.endswith('.docx'):
data.append((folder, file))
df = pd.DataFrame(data, columns=['Folder', 'File_name'])
df
However, I cant find the way to get the values I want from the.docx files.但是,我无法找到从 .docx 文件中获取所需值的方法。 I tried first to do it separately like this:
我首先尝试像这样单独进行:
# Import the module
import docx2txt
path2 = ''
# Open the .docx file
document = docx2txt.process(path2)
document
I got this result: 'Property Nr: \tTEST\n\nProperty Comments\t\t\t\n\n\t\t \n\n\n\n\n\n\n\n\n\nReinstatement value \t\n\nEuro __ 191,250.00 excl VAT\n\n\t\t\n\nReinstatement value \t\n\nEuro __ 191,250.00 excl VAT\n\n\t\t\n\n\n\n\n\n\n\n\n\nSigned:\n\n________________________________\n\nPerit TEST\n\nDate: 24th June 2021\n\n\n\nSigned:\n\n________________________________\n\nTEST\n\nDate: 24th June 2021'
我得到了这个结果:
'Property Nr: \tTEST\n\nProperty Comments\t\t\t\n\n\t\t \n\n\n\n\n\n\n\n\n\nReinstatement value \t\n\nEuro __ 191,250.00 excl VAT\n\n\t\t\n\nReinstatement value \t\n\nEuro __ 191,250.00 excl VAT\n\n\t\t\n\n\n\n\n\n\n\n\n\nSigned:\n\n________________________________\n\nPerit TEST\n\nDate: 24th June 2021\n\n\n\nSigned:\n\n________________________________\n\nTEST\n\nDate: 24th June 2021'
The two values I want are:我想要的两个值是:
Euro __ 191,250.00
Euro __ 191,250.00
24th June 2021
24th June 2021
I would really appreciate if you could help me at least to get the values.如果您至少可以帮助我获得价值,我将不胜感激。 Thanks
谢谢
You can use re.search()
.您可以使用
re.search()
。
If your document is str
type, try out the following code.如果你的文档是
str
类型,试试下面的代码。
import re
value_match = re.search('Euro __ (.*)excl', document)
value = value_match.group(1).strip()
date_match = re.search('Date:(.*)', document)
date = date_match.group(1).strip()
print(f"Value: {value}, Date: {date}")
Output: Output:
Value: 191,250.00, Date: 24th June 2021
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