Home Python C Language C ++ HTML 5 CSS Javascript Java Kotlin SQL DJango Bootstrap React.js R C# PHP ASP.Net Numpy Dart Pandas Digital Marketing XML

XML Parser:



XML, or Extensible Markup Language, is a way to store and organize data in a structured format. XML documents consist of nested elements, each with a start tag, end tag, and content in between.

Parsing XML means extracting information from an XML document to make it usable in a program or application. Here's how it typically works:

  1. Reading the XML Document: The parser begins by reading the XML document from start to finish.

  2. Tokenizing: The parser breaks down the XML document into smaller parts called tokens. Tokens include things like start tags, end tags, attributes, and content.

  3. Building a Data Structure: As the parser reads through the XML document and encounters different elements, it constructs a data structure to represent the hierarchical relationships between the elements. This data structure could be a tree-like structure, where each element is a node, and child elements are nested within their parent elements.

  4. Extracting Information: Once the XML document has been parsed and the data structure is built, you can then extract the information you need from the data structure using programming techniques like traversing the tree, querying specific elements, or accessing attributes.

Here's a simple example of XML:

        

Example

<bookstore> <book category="Fiction"> <title>The Great Gatsby</title> <author>F. Scott Fitzgerald</author> <year>1925</year> </book> <book category="Nonfiction"> <title>The Elements of Style</title> <author>William Strunk Jr. and E. B. White</author> <year>1918</year> </book> </bookstore>

And here's how you might parse this XML in a programming language like Python using the ElementTree module:

        

Example

import xml.etree.ElementTree as ET # Parse the XML document tree = ET.parse('books.xml') root = tree.getroot() # Iterate through each <book> element for book in root.findall('book'): # Extract data from each book element title = book.find('title').text author = book.find('author').text year = book.find('year').text category = book.get('category') # Print the extracted information print(f"Title: {title}, Author: {author}, Year: {year}, Category: {category}")

This Python code reads the XML document, iterates through each <book> element, and extracts the title, author, year, and category of each book, printing them out for each book in the XML.

Parsing a Text String:

Parsing a text string typically involves extracting structured data from the string based on certain patterns or rules. While parsing XML or JSON involves extracting data according to the respective markup or structure, parsing a text string might involve searching for specific patterns, keywords, or delimiters within the text.

Here's a simple example of parsing a text string in Python:

Let's say you have a text string containing information about books, where each book's details are separated by a delimiter like "---":

        

Example

# Sample text string text = """Title: The Great Gatsby Author: F. Scott Fitzgerald Year: 1925 --- Title: The Elements of Style Author: William Strunk Jr. and E. B. White Year: 1918 """ # Split the text string by the delimiter books = text.split('---') # Iterate through each book's details for book in books: # Split each book's details by line lines = book.strip().split('\n') book_info = {} # Extract title, author, and year for line in lines: key, value = line.split(': ') book_info[key.strip()] = value.strip() # Print the extracted information for each book print(book_info)

OutPut


{'Title': 'The Great Gatsby', 'Author': 'F. Scott Fitzgerald', 'Year': '1925'} {'Title': 'The Elements of Style', 'Author': 'William Strunk Jr. and E. B. White', 'Year': '1918'}

In this example, we split the text string by the delimiter "---" to separate individual books. Then, for each book, we split the lines and extract the title, author, and year by splitting each line by the ":" character and creating a dictionary to store the information. Finally, we print out the extracted information for each book.




Advertisement





Q3 Schools : India


Online Complier

HTML 5

Python

java

C++

C

JavaScript

Website Development

HTML

CSS

JavaScript

Python

SQL

Campus Learning

C

C#

java