Skip to main content

Minimal Python implementation of SegyIO

Project description

pysegy

CI Docs codecov PyPI version

pysegy is a minimal Python library for working with SEGY Rev 1 data. The project provides helpers to read and write files as well as utilities to scan large surveys without loading every trace in memory.

Capabilities

  • Read complete SEGY files with segy_read and access both binary and trace headers.
  • Write new data sets using segy_write from NumPy arrays.
  • Lazily inspect large archives via segy_scan and the SegyScan object.
  • Retrieve individual header fields with automatic scaling through get_header.
  • Compatible with any fsspec filesystem for local or remote storage.

Installation

Install the project in editable mode from the repository root:

python -m pip install -e .

Or to install the latest pypi release

pip install pysegy

Testing

Run the unit tests with pytest:

pytest -vs

The tests run automatically on GitHub Actions with coverage reports uploaded to Codecov.

Inspiration

This project started as a lightweight port of the Julia package SegyIO.jl. The goal is to provide a similar user experience for Python while keeping the code base small and easy to understand.

Project details


Download files

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

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

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

pysegy-0.4.0-py3-none-any.whl (25.2 kB view details)

Uploaded Python 3

File details

Details for the file pysegy-0.4.0-py3-none-any.whl.

File metadata

  • Download URL: pysegy-0.4.0-py3-none-any.whl
  • Upload date:
  • Size: 25.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for pysegy-0.4.0-py3-none-any.whl
Algorithm Hash digest
SHA256 59d0006808652fe778965cce156b0c63e2f38047f44aa0d2da524b611a9af68e
MD5 7bbe38637e70b64a5699c5b9027423c7
BLAKE2b-256 bb73eb4506fa66fe0501c895c063020949ce76f064e94d9e386827631efd4e71

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