docx2python | Extract docx headers footers text | Data Manipulation library
kandi X-RAY | docx2python Summary
kandi X-RAY | docx2python Summary
Extract docx headers, footers, text, footnotes, endnotes, properties, and images to a Python object.
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Top functions reviewed by kandi - BETA
- Return a key pair for the given elem
- Gather sub - values from an element
- Format values into HTML
- Get the formatting of a paragraph
- Extract the formatting of a run
- Get tag name from elem
- Get HTML formatting for the given element
- Convert a tag to qualified name
- Gathers all sub - values from an etree element
- Get the pStyle of a paragraph element
- Create a DocxContent object from a DOCX file
- Convert tag to qualified name
docx2python Key Features
docx2python Examples and Code Snippets
[ # document
[ # table
[ # row
[ # cell
"Paragraph 1",
"Paragraph 2",
"-- bulleted list",
"-- continuing bulleted list",
"1) numbered list",
from docx2python.iterators import enum_cells
def remove_empty_paragraphs(tables):
for (i, j, k), cell in enum_cells(tables):
tables[i][j][k] = [x for x in cell if x]
>>> tables = [[[['a', 'b'], ['a', '', 'd', '']]]]
>>>
from docx2python import docx2python
# extract docx content
docx2python('path/to/file.docx')
# extract docx content, write images to image_directory
docx2python('path/to/file.docx', 'path/to/image_directory')
# extract docx content, ignore images
d
Community Discussions
Trending Discussions on docx2python
QUESTION
I am reading .Docx documents using packages like docx2txt, docx2python & docx in python. However, I am not able to read numbers under a specific section and the word document has numbers.
[Some paragraphs before Questions]
Questions:
- Question1?
- Question2? another question?
- Question3?
Conclusions:
- Text related to question1.
- Text related to question2.
- Text related to question3.
I need to identify number of questions under questions section and it should match this number with the number of conclusions. In this case, it is 3 questions and 3 conclusions.
For instance: [[['', 'Executive Summary', 'Context', 'LIBOR products continue to be available across our Global Businesses. We have developed an initial framework for limiting the sale of IBOR based contracts.', 'Questions this paper addresses', '1)\tWhat frameworks have our Global Businesses put in place to limit the sale of IBOR based contracts? And what is their implementation status?', '2)\tWhat does the decision making process look like? And what decisions have been made to date? ', '3)\tWhat is the implementation status? ', 'Conclusions', '1)\tOur Global Businesses have designed frameworks and associated assurance models that will govern the framework.', '2)\tDecisions are approved by respective heads of business. To date GM have withdrawn two products only.', '3)\tThe frameworks have been implemented and are live across all regions. The assurance model/approach has been implemented.', '', 'Input Sought', 'This paper is for noting.', 'Input Received', 'IBOR Transition Programme Lead, IBOR CRO and IBOR Business leads',
...ANSWER
Answered 2020-Oct-28 at 16:42Here is the code I wrote. My algorithm works only if your docx still has the same format (Questions: \n 1) ... \n 2)... \n ... \n Conclusions: 1)... \n 2)...\n ...). For example if you put conclusions before questions it would not work.
I tried with the docx you provided and it works.
QUESTION
i'm new to python. I'm trying to make a program that compares 2 or more docx files. This is for my school, the exams has a lot of repeatedly questions. So, here's the code:
...ANSWER
Answered 2020-Oct-13 at 22:36It sounds like you just need to split the lines. Try:
QUESTION
I have some output from a word file shown below:
...ANSWER
Answered 2020-Jan-23 at 23:51Something like this?
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install docx2python
You can use docx2python like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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