A set of tools to deal with MCMC chains and a complement to cobaya and getdist.

https://img.shields.io/pypi/v/cobaya-utilities.svg?style=flat GitHub Workflow Status Documentation Status https://mybinder.org/badge_logo.svg https://codecov.io/gh/xgarrido/cobaya_utilities/branch/master/graph/badge.svg?token=qrrVcbNCs5

Installing the code

The easiest way to install the module is

pip install [--user] cobaya-utilities

If you plan to made some modifications, to improve or to correct some bugs, then you need to clone the following repository

git clone https://github.com/xgarrido/cobaya_utilities.git /where/to/clone

Then you can install the code and its dependencies via

pip install -e [--user] /where/to/clone

Running/testing the code

You can test the cobaya_utilities module (assuming you have pytest installed) by doing

pytest

Documentation

Read the docs at cobaya-utilities.readthedocs.io.

Project links

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Newer release available (0.3.5)

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for xgarrido from gravatar.com xgarrido

Credits

Author: Xavier Garrido

Requires

Python >=3.8

Tags

cobaya MCMC plot

Classifiers

Report project as malware

Download files

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

Source Distribution

cobaya_utilities-0.2.4.tar.gz (35.0 kB view details)

Uploaded Source

Built Distribution

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

cobaya_utilities-0.2.4-py3-none-any.whl (17.1 kB view details)

Uploaded Python 3

File details

Details for the file cobaya_utilities-0.2.4.tar.gz.

File metadata

  • Download URL: cobaya_utilities-0.2.4.tar.gz
  • Upload date:
  • Size: 35.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.8

File hashes

Hashes for cobaya_utilities-0.2.4.tar.gz
Algorithm Hash digest
SHA256 61467b395103a244d12259032963f9c6ecc4ca7ab5f909395f7d06ca03c3abc8
MD5 27aef1fd4b9373918ce32e2669834041
BLAKE2b-256 217036cf11c8629377336ecc327234deebc038ddc13d9c341a7b75c56305a605

See more details on using hashes here.

File details

Details for the file cobaya_utilities-0.2.4-py3-none-any.whl.

File metadata

File hashes

Hashes for cobaya_utilities-0.2.4-py3-none-any.whl
Algorithm Hash digest
SHA256 0c0ba2095469dcf5c1950b62ecd378071452314da43c24d123f53f4cfcc5f6d8
MD5 74047340a2f24be333815b0683fa0951
BLAKE2b-256 d5d9517cd5083a66f640df7128791859075f7e61d3ac6a74d5e4f7b7133c30b2

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