Plotting API for HEP flavour tagging plots.

Project description

puma - Plotting UMami Api

Testing workflow Linting workflow Pages workflow

The Python package puma provides a plotting API for commonly used plots in flavour tagging.

ROC curves	Histogram plots	Variable vs efficiency

Installation

The puma package is currently under construction. It can be installed from PyPI or using the latest code from this repository.

Install latest release from PyPI

pip install puma-hep

The installation from PyPI only allows to install tagged releases, meaning you can not install the latest code from this repo using the above command. If you just want to use a stable release of puma, this is the way to go.

Install latest version from GitHub

pip install https://github.com/umami-hep/puma/archive/master.tar.gz

This will install the latest version of puma, i.e. the current version from the main branch (no matter if it is a release/tagged commit). If you plan on contributing to puma and/or want the latest version possible, this is what you want.

Project details

Release history Release notifications | RSS feed

0.4.1

Nov 18, 2024

0.4.0

Oct 24, 2024

0.3.6

Aug 27, 2024

0.3.5

Apr 23, 2024

0.3.4

Mar 8, 2024

0.3.3

Feb 26, 2024

0.3.2

Feb 13, 2024

0.3.1

Nov 27, 2023

0.3.0

Oct 3, 2023

0.2.8

Aug 15, 2023

0.2.7

Jul 18, 2023

0.2.6

Jun 1, 2023

0.2.5

May 12, 2023

0.2.4

Apr 6, 2023

0.2.3

Mar 28, 2023

0.2.2

Feb 28, 2023

0.2.1

Dec 16, 2022

0.2.0

Dec 13, 2022

0.1.9

Nov 30, 2022

0.1.8

Aug 30, 2022

0.1.7

Aug 10, 2022

0.1.6

Jul 26, 2022

0.1.5

Jul 5, 2022

0.1.4

Jun 30, 2022

0.1.3

Jun 23, 2022

0.1.2

Jun 2, 2022

0.1.1

May 30, 2022

0.1.1rc2 pre-release

May 19, 2022

This version

0.1.1rc1 pre-release

May 19, 2022

0.1.0

May 16, 2022

0.0.0rc6 pre-release

May 13, 2022

0.0.0rc4 pre-release

May 9, 2022

0.0.0rc3 pre-release

May 9, 2022

0.0.0rc2 pre-release

May 9, 2022

0.0.0rc1 pre-release

May 9, 2022

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Upload date: May 19, 2022
Size: 38.8 kB
Tags: Python 3
Uploaded using Trusted Publishing? No
Uploaded via: twine/4.0.0 CPython/3.7.13

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