Skip to main content

Parser for Texas RRC W-1 data files

Project description

w1_py_parse

A Python parser for Texas RRC W-1 data files.

Description

This tool allows for parsing fixed-width data files from the Texas Railroad Commission, specifically handling schema format 01.

Installation

pip install w1_py_parse

Usage

from w1_py_parse import W1Parser

parser = W1Parser()
# Parse all schemas (default)
parser.parse_file("path/to/data.dat")

# Parse specific schemas by name or ID
# parser.parse_file("path/to/data.dat", schemas=["DAROOT"])

print(parser.records)

Credits

Made almost entirely with Google DeepMind's Gemini 3 Pro.

This project serves as a demonstration of the capabilities of advanced AI in software development.

Publishing to PyPI

To publish this package to PyPI, run the following commands:

Project details


Download files

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

Source Distribution

w1_py_parse-0.11.0.tar.gz (11.5 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

w1_py_parse-0.11.0-py3-none-any.whl (16.1 kB view details)

Uploaded Python 3

File details

Details for the file w1_py_parse-0.11.0.tar.gz.

File metadata

  • Download URL: w1_py_parse-0.11.0.tar.gz
  • Upload date:
  • Size: 11.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.6

File hashes

Hashes for w1_py_parse-0.11.0.tar.gz
Algorithm Hash digest
SHA256 593f6ca6c8bbfbc2836b16649f0f93a96820e071d3d70266f056c00b4d15233f
MD5 c0752df7d941084fde3519781f700d91
BLAKE2b-256 9285e9960577bc8170f211b884b62c28510590435f02fba5d9b5b396c30f5ca9

See more details on using hashes here.

File details

Details for the file w1_py_parse-0.11.0-py3-none-any.whl.

File metadata

  • Download URL: w1_py_parse-0.11.0-py3-none-any.whl
  • Upload date:
  • Size: 16.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.6

File hashes

Hashes for w1_py_parse-0.11.0-py3-none-any.whl
Algorithm Hash digest
SHA256 54e70a2f793681e079a26ee511f1025507dd1836c784fc726274f6fb7cbc8927
MD5 d87716ecf083e93ea085bbe20b8d6041
BLAKE2b-256 bd07b98cd20e7246c34fc7572a403b42847153efb4cb4b2f81d685e1bea8385d

See more details on using hashes here.

Supported by

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