========
La Forge
========
.. image:: https://img.shields.io/pypi/v/la_forge.svg
:target: https://pypi.python.org/pypi/la_forge
.. image:: https://github.com/Hazboun6/la_forge/workflows/Build/badge.svg
:target: https://github.com/Hazboun6/la_forge/actions
.. image:: https://readthedocs.org/projects/la-forge/badge/?version=latest
:target: https://la-forge.readthedocs.io/en/latest/?badge=latest
:alt: Documentation Status
.. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.4152550.svg
:target: https://doi.org/10.5281/zenodo.4152550
Pulsar Timing Array Bayesian Data Visualization
.. image:: https://raw.githubusercontent.com/Hazboun6/la_forge/master/visor.png
:target: https://www.deviantart.com/sjvernon/art/Geordi-La-Forge-Star-Trek-Next-Generation-Visor-646311950
:alt: Graphic Credit: Stewart Vernon, via Deviant Art
:align: center
Graphic Credit: Stewart Vernon, via Deviant Art
Python package for conveniently plotting results from pulsar timing array bayesian analyses. Many of the functions are best used with enterprise_ outputs.
`La Forge` is available on PyPI:
.. code-block:: python
pip install la-forge
* Free software: MIT license
* Documentation: https://la-forge.readthedocs.io.
Features
--------
* Sweep up Bayesian analysis MCMC chains along with sampling info.
* Allow easy retrieval of various samples from chains.
* Support for saving chains as `HDF5` files.
* Call chains with parameter names.
* Plot posteriors easily.
* Reconstruct Gaussian process realizations using posterior chains.
* Plot red noise power spectral density.
* Separate consituent models of a hypermodel analysis.
This package was created with Cookiecutter_ and the `audreyr/cookiecutter-pypackage`_ project template.
.. _`enterprise`: https://github.com/nanograv/enterprise
.. _Cookiecutter: https://github.com/audreyr/cookiecutter
.. _`audreyr/cookiecutter-pypackage`: https://github.com/audreyr/cookiecutter-pypackage
=======
History
=======
1.1.0 (2023-10-22) Adds Bayes factor calculations.
1.0.2 (2022-07-19) Fixes a delimiter bug for pulling in priors.txt.
1.0.1 (2021-10-21) Fixes a bug that did not allow parameter dictionary I/O in HyperModelCores
1.0.0 (2021-10-18) Capabilities to save as HDF5 files. Added full documentation and filled out the testing suite.
0.4.0 (2021-09-24) Added CI testing suite and cleaned up functions.
0.3.0 (2020-10-28) New docs.
0.2.0 (2020-02-13) Cleaned up various functionality and added more docs.
0.1.0 (2018-09-21)*
-------------------
* First release on PyPI.
Raw data
{
"_id": null,
"home_page": "https://github.com/Hazboun6/la_forge",
"name": "la-forge",
"maintainer": "",
"docs_url": null,
"requires_python": "",
"maintainer_email": "",
"keywords": "la_forge",
"author": "Jeffrey Shafiq Hazboun",
"author_email": "jeffrey.hazboun@gmail.com",
"download_url": "https://files.pythonhosted.org/packages/ed/1f/d9a0010de488ba7a83d236f7d1c61b246bb77dda74edd22d9171c7ae7efc/la_forge-1.1.0.tar.gz",
"platform": null,
"description": "========\nLa Forge\n========\n\n\n.. image:: https://img.shields.io/pypi/v/la_forge.svg\n :target: https://pypi.python.org/pypi/la_forge\n\n.. image:: https://github.com/Hazboun6/la_forge/workflows/Build/badge.svg\n :target: https://github.com/Hazboun6/la_forge/actions\n\n.. image:: https://readthedocs.org/projects/la-forge/badge/?version=latest\n :target: https://la-forge.readthedocs.io/en/latest/?badge=latest\n :alt: Documentation Status\n\n.. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.4152550.svg\n :target: https://doi.org/10.5281/zenodo.4152550\n\nPulsar Timing Array Bayesian Data Visualization\n\n.. image:: https://raw.githubusercontent.com/Hazboun6/la_forge/master/visor.png\n :target: https://www.deviantart.com/sjvernon/art/Geordi-La-Forge-Star-Trek-Next-Generation-Visor-646311950\n :alt: Graphic Credit: Stewart Vernon, via Deviant Art\n :align: center\n\nGraphic Credit: Stewart Vernon, via Deviant Art\n\nPython package for conveniently plotting results from pulsar timing array bayesian analyses. Many of the functions are best used with enterprise_ outputs.\n\n`La Forge` is available on PyPI:\n\n.. code-block:: python\n\n pip install la-forge\n\n\n* Free software: MIT license\n* Documentation: https://la-forge.readthedocs.io.\n\n\nFeatures\n--------\n\n* Sweep up Bayesian analysis MCMC chains along with sampling info.\n* Allow easy retrieval of various samples from chains.\n* Support for saving chains as `HDF5` files.\n* Call chains with parameter names.\n* Plot posteriors easily.\n* Reconstruct Gaussian process realizations using posterior chains.\n* Plot red noise power spectral density.\n* Separate consituent models of a hypermodel analysis.\n\nThis package was created with Cookiecutter_ and the `audreyr/cookiecutter-pypackage`_ project template.\n\n.. _`enterprise`: https://github.com/nanograv/enterprise\n.. _Cookiecutter: https://github.com/audreyr/cookiecutter\n.. _`audreyr/cookiecutter-pypackage`: https://github.com/audreyr/cookiecutter-pypackage\n\n\n=======\nHistory\n=======\n1.1.0 (2023-10-22) Adds Bayes factor calculations.\n\n1.0.2 (2022-07-19) Fixes a delimiter bug for pulling in priors.txt.\n\n1.0.1 (2021-10-21) Fixes a bug that did not allow parameter dictionary I/O in HyperModelCores\n\n1.0.0 (2021-10-18) Capabilities to save as HDF5 files. Added full documentation and filled out the testing suite.\n\n0.4.0 (2021-09-24) Added CI testing suite and cleaned up functions.\n\n0.3.0 (2020-10-28) New docs.\n\n0.2.0 (2020-02-13) Cleaned up various functionality and added more docs.\n\n0.1.0 (2018-09-21)*\n-------------------\n\n* First release on PyPI.\n",
"bugtrack_url": null,
"license": "MIT license",
"summary": "Python package for conveniently plotting results from pulsar timing array bayesian analyses.",
"version": "1.1.0",
"project_urls": {
"Homepage": "https://github.com/Hazboun6/la_forge"
},
"split_keywords": [
"la_forge"
],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "a96e92626a5ad7f79688d4191383c2cf0c354202b5dc8c76376b43e31cb57f01",
"md5": "d5df79cad37138ea0c158a57de188563",
"sha256": "7271f128dca869ed6c2526efa8b536641d0d50968f49eadd9a0765ac90e28fe7"
},
"downloads": -1,
"filename": "la_forge-1.1.0-py2.py3-none-any.whl",
"has_sig": false,
"md5_digest": "d5df79cad37138ea0c158a57de188563",
"packagetype": "bdist_wheel",
"python_version": "py2.py3",
"requires_python": null,
"size": 41736,
"upload_time": "2023-10-23T06:31:14",
"upload_time_iso_8601": "2023-10-23T06:31:14.986498Z",
"url": "https://files.pythonhosted.org/packages/a9/6e/92626a5ad7f79688d4191383c2cf0c354202b5dc8c76376b43e31cb57f01/la_forge-1.1.0-py2.py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "ed1fd9a0010de488ba7a83d236f7d1c61b246bb77dda74edd22d9171c7ae7efc",
"md5": "73ec57db85a68d006f36da5ee9798e68",
"sha256": "73914920147713c2bbac2fb07dd4e74d0e66e6557e7de99c6da7989c7314b9f2"
},
"downloads": -1,
"filename": "la_forge-1.1.0.tar.gz",
"has_sig": false,
"md5_digest": "73ec57db85a68d006f36da5ee9798e68",
"packagetype": "sdist",
"python_version": "source",
"requires_python": null,
"size": 82904965,
"upload_time": "2023-10-23T06:31:18",
"upload_time_iso_8601": "2023-10-23T06:31:18.534041Z",
"url": "https://files.pythonhosted.org/packages/ed/1f/d9a0010de488ba7a83d236f7d1c61b246bb77dda74edd22d9171c7ae7efc/la_forge-1.1.0.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2023-10-23 06:31:18",
"github": true,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"github_user": "Hazboun6",
"github_project": "la_forge",
"travis_ci": false,
"coveralls": false,
"github_actions": true,
"requirements": [],
"lcname": "la-forge"
}
JSON
