Skip to main content

pyparsing module - Classes and methods to define and execute parsing grammars

Project description

PyParsing – A Python Parsing Module

Version Build Status Coverage License Python versions pyparsing

Introduction

The pyparsing module is an alternative approach to creating and executing simple grammars, vs. the traditional lex/yacc approach, or the use of regular expressions. The pyparsing module provides a library of classes that client code uses to construct the grammar directly in Python code.

[Since first writing this description of pyparsing in late 2003, this technique for developing parsers has become more widespread, under the name Parsing Expression Grammars - PEGs. See more information on PEGs here .]

Here is a program to parse "Hello, World!" (or any greeting of the form "salutation, addressee!"):

from pyparsing import Word, alphas
greet = Word(alphas) + "," + Word(alphas) + "!"
hello = "Hello, World!"
print(hello, "->", greet.parseString(hello))

The program outputs the following:

Hello, World! -> ['Hello', ',', 'World', '!']

The Python representation of the grammar is quite readable, owing to the self-explanatory class names, and the use of ‘+’, ‘|’ and ‘^’ operator definitions.

The parsed results returned from parseString() is a collection of type ParseResults, which can be accessed as a nested list, a dictionary, or an object with named attributes.

The pyparsing module handles some of the problems that are typically vexing when writing text parsers:

  • extra or missing whitespace (the above program will also handle "Hello,World!", "Hello , World !", etc.)

  • quoted strings

  • embedded comments

The examples directory includes a simple SQL parser, simple CORBA IDL parser, a config file parser, a chemical formula parser, and a four- function algebraic notation parser, among many others.

Documentation

There are many examples in the online docstrings of the classes and methods in pyparsing. You can find them compiled into online docs. Additional documentation resources and project info are listed in the online GitHub wiki. An entire directory of examples can be found here.

License

MIT License. See header of the pyparsing __init__.py file.

History

See CHANGES file.

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pyparsing-3.2.0.tar.gz (921.0 kB view details)

Uploaded Source

Built Distribution

pyparsing-3.2.0-py3-none-any.whl (106.9 kB view details)

Uploaded Python 3

File details

Details for the file pyparsing-3.2.0.tar.gz.

File metadata

  • Download URL: pyparsing-3.2.0.tar.gz
  • Upload date:
  • Size: 921.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.3

File hashes

Hashes for pyparsing-3.2.0.tar.gz
Algorithm Hash digest
SHA256 cbf74e27246d595d9a74b186b810f6fbb86726dbf3b9532efb343f6d7294fe9c
MD5 c9fb29820d6bf6e83651a0bd7411f02c
BLAKE2b-256 8cd5e5aeee5387091148a19e1145f63606619cb5f20b83fccb63efae6474e7b2

See more details on using hashes here.

File details

Details for the file pyparsing-3.2.0-py3-none-any.whl.

File metadata

  • Download URL: pyparsing-3.2.0-py3-none-any.whl
  • Upload date:
  • Size: 106.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.3

File hashes

Hashes for pyparsing-3.2.0-py3-none-any.whl
Algorithm Hash digest
SHA256 93d9577b88da0bbea8cc8334ee8b918ed014968fd2ec383e868fb8afb1ccef84
MD5 4b2fb885fbe566796fbb965cc056b0ea
BLAKE2b-256 beec2eb3cd785efd67806c46c13a17339708ddc346cbb684eade7a6e6f79536a

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page