- Python Text Processing - Home
- Python Text Processing - Introduction
- Python Text Processing - Environment
- Python Text Processing - String Immutability
- Python Text Processing - Sorting Lines
- Python Text Processing - Counting Token in Paragraphs
- Python Text Processing - Binary ASCII Conversion
- Python Text Processing - Strings as Files
- Python Text Processing - Backward File Reading
- Python Text Processing - Filter Duplicate Words
- Python Text Processing - Extract Emails from Text
- Python Text Processing - Extract URL from Text
- Python Text Processing - Pretty Print
- Python Text Processing - State Machine
- Python Text Processing - Capitalize and Translate
- Python Text Processing - Tokenization
- Python Text Processing - Remove Stopwords
- Python Text Processing - Synonyms and Antonyms
- Python Text Processing - Translation
- Python Text Processing - Word Replacement
- Python Text Processing - Spelling Check
- Python Text Processing - WordNet Interface
- Python Text Processing - Corpora Access
- Python Text Processing - Tagging Words
- Python Text Processing - Chunks and Chinks
- Python Text Processing - Chunk Classification
- Python Text Processing - Classification
- Python Text Processing - Bigrams
- Python Text Processing - Process PDF
- Python Text Processing - Process Word Document
- Python Text Processing - Reading RSS feed
- Python Text Processing - Sentiment Analysis
- Python Text Processing - Search and Match
- Python Text Processing - Text Munging
- Python Text Processing - Text wrapping
- Python Text Processing - Frequency Distribution
- Python Text Processing - Summarization
- Python Text Processing - Stemming Algorithms
- Python Text Processing - Constrained Search
Python Text Processing Useful Resources
Python Text Processing - Process Word Document
To read a word document we take help of the module named docx. We first install docx as shown below. Then write a program to use the different functions in docx module to read the entire file by paragraphs.
We use the below command to get the docx module into our environment.
pip install docx
Reading a Word Document
In the below example we read the content of a word document by appending each of the lines to a paragraph and finally printing out all the paragraph text.
main.py
import docx
def readtxt(filename):
doc = docx.Document(filename)
fullText = []
for para in doc.paragraphs:
fullText.append(para.text)
return '\n'.join(fullText)
print (readtxt('Tutorialspoint.docx'))
Output
When we run the above program, we get the following output −
Tutorials Point originated from the idea that there exists a class of readers who respond better to online content and prefer to learn new skills at their own pace from the comforts of their drawing rooms. The journey commenced with a single tutorial on HTML in 2006 and elated by the response it generated, we worked our way to adding fresh tutorials to our repository which now proudly flaunts a wealth of tutorials and allied articles on topics ranging from programming languages to web designing to academics and much more.
Reading Individual Paragraphs
We can read a specific paragraph from the word document using the paragraphs attribute. In the below example we read only the second paragraph from the word document.
main.py
import docx
doc = docx.Document('Tutorialspoint.docx')
print(len(doc.paragraphs))
print(doc.paragraphs[2].text)
Output
When we run the above program, we get the following output −
The journey commenced with a single tutorial on HTML in 2006 and elated by the response it generated, we worked our way to adding fresh tutorials to our repository which now proudly flaunts a wealth of tutorials and allied articles on topics ranging from programming languages to web designing to academics and much more.
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