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-0.12.0.tar.gz (11.8 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-0.12.0-py3-none-any.whl (16.7 kB view details)

Uploaded Python 3

File details

Details for the file w1_py_parse-0.12.0.tar.gz.

File metadata

  • Download URL: w1_py_parse-0.12.0.tar.gz
  • Upload date:
  • Size: 11.8 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-0.12.0.tar.gz
Algorithm Hash digest
SHA256 72195cb3596dff9e0bdc050ea9dbaa409f78179c4c170ca596f85e89be402bb3
MD5 ad27b189400e71358b9d590bf7bc1b78
BLAKE2b-256 b935500918c9bcfde9ba3ea0c31f06202a83a5b192419012b170e35b7a40f91d

See more details on using hashes here.

File details

Details for the file w1_py_parse-0.12.0-py3-none-any.whl.

File metadata

  • Download URL: w1_py_parse-0.12.0-py3-none-any.whl
  • Upload date:
  • Size: 16.7 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-0.12.0-py3-none-any.whl
Algorithm Hash digest
SHA256 78fc7917c4f3d49a8eac375f43f696522690afcbadc8162109495aeba7adcd3b
MD5 447759f502686aec56979155ea410c52
BLAKE2b-256 6f1898e99695babe4ad2b9cdc527e17bf663cc61f9b60f8be29cfde9d2b2d62d

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