
- Python - Text Processing
- Python - Text Processing Introduction
- Python - Text Processing Environment
- Python - String Immutability
- Python - Sorting Lines
- Python - Reformatting Paragraphs
- Python - Counting Token in Paragraphs
- Python - Binary ASCII Conversion
- Python - Strings as Files
- Python - Backward File Reading
- Python - Filter Duplicate Words
- Python - Extract Emails from Text
- Python - Extract URL from Text
- Python - Pretty Print
- Python - Text Processing State Machine
- Python - Capitalize and Translate
- Python - Tokenization
- Python - Remove Stopwords
- Python - Synonyms and Antonyms
- Python - Text Translation
- Python - Word Replacement
- Python - Spelling Check
- Python - WordNet Interface
- Python - Corpora Access
- Python - Tagging Words
- Python - Chunks and Chinks
- Python - Chunk Classification
- Python - Text Classification
- Python - Bigrams
- Python - Process PDF
- Python - Process Word Document
- Python - Reading RSS feed
- Python - Sentiment Analysis
- Python - Search and Match
- Python - Text Munging
- Python - Text wrapping
- Python - Frequency Distribution
- Python - Text Summarization
- Python - Stemming Algorithms
- Python - Constrained Search
- Selected Reading
- UPSC IAS Exams Notes
- Developer's Best Practices
- Questions and Answers
- Effective Resume Writing
- HR Interview Questions
- Computer Glossary
- Who is Who
Python - Text wrapping
Text wrapping is required when the text grabbed from some source is not properly formatted to be displayed within the available screen width. This is achieved by using the below package which can be installed in our environment with below command.
pip install parawrap
The below paragraph has a single string of text which is continuous. on applying the wrap function we can see how the text is separated into multiple lines separated with commas.
import parawrap text = "In late summer 1945, guests are gathered for the wedding reception of Don Vito Corleone's daughter Connie (Talia Shire) and Carlo Rizzi (Gianni Russo). Vito (Marlon Brando), the head of the Corleone Mafia family, is known to friends and associates as Godfather. He and Tom Hagen (Robert Duvall), the Corleone family lawyer, are hearing requests for favors because, according to Italian tradition, no Sicilian can refuse a request on his daughter's wedding day. One of the men who asks the Don for a favor is Amerigo Bonasera, a successful mortician and acquaintance of the Don, whose daughter was brutally beaten by two young men because she refused their advances; the men received minimal punishment from the presiding judge. The Don is disappointed in Bonasera, who'd avoided most contact with the Don due to Corleone's nefarious business dealings. The Don's wife is godmother to Bonasera's shamed daughter, a relationship the Don uses to extract new loyalty from the undertaker. The Don agrees to have his men punish the young men responsible (in a non-lethal manner) in return for future service if necessary." print parawrap.wrap(text)
When we run the above program we get the following output −
['In late summer 1945, guests are gathered for the wedding reception of', "Don Vito Corleone's daughter Connie (Talia Shire) and Carlo Rizzi", '(Gianni Russo). Vito (Marlon Brando), the head of the Corleone Mafia', 'family, is known to friends and associates as Godfather. He and Tom', 'Hagen (Robert Duvall), the Corleone family lawyer, are hearing', 'requests for favors because, according to Italian tradition, no', "Sicilian can refuse a request on his daughter's wedding day. One of", 'the men who asks the Don for a favor is Amerigo Bonasera, a successful', 'mortician and acquaintance of the Don, whose daughter was brutally', 'beaten by two young men because she refused their advances; the men', 'received minimal punishment from the presiding judge. The Don is', "disappointed in Bonasera, who'd avoided most contact with the Don due", "to Corleone's nefarious business dealings. The Don's wife is godmother", "to Bonasera's shamed daughter, a relationship the Don uses to extract", 'new loyalty from the undertaker. The Don agrees to have his men punish', 'the young men responsible (in a non-lethal manner) in return for', 'future service if necessary.']
We can also apply the wrap function with specific width as input parameter which will cut the words if required to maintain the required width of the wrap function.
import parawrap text = "In late summer 1945, guests are gathered for the wedding reception of Don Vito Corleone's daughter Connie (Talia Shire) and Carlo Rizzi (Gianni Russo). Vito (Marlon Brando), the head of the Corleone Mafia family, is known to friends and associates as Godfather. He and Tom Hagen (Robert Duvall), the Corleone family lawyer, are hearing requests for favors because, according to Italian tradition, no Sicilian can refuse a request on his daughter's wedding day. One of the men who asks the Don for a favor is Amerigo Bonasera, a successful mortician and acquaintance of the Don, whose daughter was brutally beaten by two young men because she refused their advances; the men received minimal punishment from the presiding judge. The Don is disappointed in Bonasera, who'd avoided most contact with the Don due to Corleone's nefarious business dealings. The Don's wife is godmother to Bonasera's shamed daughter, a relationship the Don uses to extract new loyalty from the undertaker. The Don agrees to have his men punish the young men responsible (in a non-lethal manner) in return for future service if necessary." print parawrap.wrap(text,5)
When we run the above program we get the following output −
['In', 'late ', 'summe', 'r', '1945,', 'guest', 's are', 'gathe', 'red', 'for', 'the w', 'eddin', 'g rec', 'eptio', 'n of', 'Don', 'Vito ', 'Corle', "one's", 'daugh', 'ter C', 'onnie', '(Tali', 'a Shi', 're)', 'and', 'Carlo', 'Rizzi', '(Gian', 'ni Ru', 'sso).', 'Vito ', '(Marl', 'on Br', 'ando)', ', the', 'head', 'of', 'the C', 'orleo', 'ne', 'Mafia', 'famil', 'y, is', 'known', 'to fr', 'iends', 'and a', 'ssoci', 'ates', 'as Go', 'dfath', 'er.', 'He', 'and', 'Tom', 'Hagen', '(Robe', 'rt Du', 'vall)', ', the', 'Corle', 'one f', 'amily', 'lawye', 'r,', 'are h', 'earin', 'g req', 'uests', 'for f', 'avors', 'becau', 'se, a', 'ccord', 'ing', 'to It', 'alian', 'tradi', 'tion,', 'no Si', 'cilia', 'n can', 'refus', 'e a r', 'eques', 't on', 'his d', 'aught', "er's ", 'weddi', 'ng', 'day.', 'One', 'of', 'the', 'men', 'who', 'asks', 'the', 'Don', 'for a', 'favor', 'is Am', 'erigo', 'Bonas', 'era,', 'a suc', 'cessf', 'ul mo', 'rtici', 'an', 'and a', 'cquai', 'ntanc', 'e of', 'the', 'Don,', 'whose', 'daugh', 'ter', 'was b', 'rutal', 'ly be', 'aten', 'by', 'two', 'young', 'men b', 'ecaus', 'e she', 'refus', 'ed', 'their', 'advan', 'ces;', 'the', 'men r', 'eceiv', 'ed mi', 'nimal', 'punis', 'hment', 'from', 'the p', 'resid', 'ing j', 'udge.', 'The', 'Don', 'is di', 'sappo', 'inted', 'in Bo', 'naser', 'a,', "who'd", 'avoid', 'ed', 'most ', 'conta', 'ct', 'with', 'the', 'Don', 'due', 'to Co', 'rleon', "e's n", 'efari', 'ous b', 'usine', 'ss de', 'aling', 's.', 'The', "Don's", 'wife', 'is go', 'dmoth', 'er to', 'Bonas', "era's", 'shame', 'd dau', 'ghter', ', a r', 'elati', 'onshi', 'p the', 'Don', 'uses', 'to ex', 'tract', 'new l', 'oyalt', 'y', 'from', 'the u', 'ndert', 'aker.', 'The', 'Don a', 'grees', 'to', 'have', 'his', 'men p', 'unish', 'the', 'young', 'men r', 'espon', 'sible', '(in a', 'non-l', 'ethal', 'manne', 'r) in', 'retur', 'n for', 'futur', 'e ser', 'vice', 'if ne', 'cessa', 'ry.']
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