Skip to main content

ArviZ-plots provides ready to use and composable plots for Bayesian Workflow.

Project description

arviz-plots

Run tests codecov Powered by NumFOCUS

ArviZ plotting elements and static battery included plots

We are currently working on splitting ArviZ into independent modules. See https://github.com/arviz-devs/arviz/issues/2088 for more details.

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

arviz_plots-0.3.0.tar.gz (63.1 kB view details)

Uploaded Source

Built Distribution

arviz_plots-0.3.0-py3-none-any.whl (88.8 kB view details)

Uploaded Python 3

File details

Details for the file arviz_plots-0.3.0.tar.gz.

File metadata

  • Download URL: arviz_plots-0.3.0.tar.gz
  • Upload date:
  • Size: 63.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for arviz_plots-0.3.0.tar.gz
Algorithm Hash digest
SHA256 2ce035ebccb6cb788710ff80c913f3f185e7dd94fa4ceb47dac5b409ba2937ea
MD5 9721224175582cd5416ab28b0dd76b5b
BLAKE2b-256 d84ebd90d17b97404cadf3a68f531412288718c3cea3e14c2f83a7ca3f19d89e

See more details on using hashes here.

Provenance

The following attestation bundles were made for arviz_plots-0.3.0.tar.gz:

Publisher: publish.yml on arviz-devs/arviz-plots

Attestations:

File details

Details for the file arviz_plots-0.3.0-py3-none-any.whl.

File metadata

  • Download URL: arviz_plots-0.3.0-py3-none-any.whl
  • Upload date:
  • Size: 88.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for arviz_plots-0.3.0-py3-none-any.whl
Algorithm Hash digest
SHA256 82b6f38035244efed8a41343c6b9676fb0d9f1d71fea6b1c4c4e7a482497e082
MD5 b1a855b3901ff5a4d9cc2b11c08d4c0a
BLAKE2b-256 2d089504cda8c94ec5cbdb829b4ec84606b3d5795b83ed3421f27f0137020ee2

See more details on using hashes here.

Provenance

The following attestation bundles were made for arviz_plots-0.3.0-py3-none-any.whl:

Publisher: publish.yml on arviz-devs/arviz-plots

Attestations:

Supported by

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