b2-plotter 2.0.5

A simple Python package for use by Belle II analysts to make various plots out of pandas dataframes and numpy arrays.

b2_plotter

Description

The b2_plotter package consists of the class Plotter(), whereby several plots based on numpy arrays and pandas dataframes can be created easily.

Releases

Version 2.0.5

• Add cuts argument to plotFom

Version 2.0.4

• Last push didnt include changes, so include bugfix
• Add dist/, .pytest_cache, and .ipynb_checkpoints to git ignore

Version 2.0.3

• Bugfix call to numpy.histogram() (was called np.histogram)

Version 2.0.2

• Implement unit tests for constructor TypeError raises

Version 2.0.1

• Implement data plotting in plot()
• Implement unit tests for functions in non-interactive mode

Version 1.0.9

• Set myrange = () in plotFom to enable the dynamic range calculation from v.1.0.5 if the user does not provide a range.

Version 1.0.8

• Implement dynamic range calculation in plotStep
• Bugfix labels not showing up on plotFom for myrange = () (default)
• Bugfix get_sigeff (missing period)

Version 1.0.7

• Bugfix (remove () from numpy.size, as size is a property, not a method)

Version 1.0.6

• Remove deprecated var total_bkg from plotFom()

Version 1.0.5

• Create example files for interactive session
• Change massvar name to be consistent (massVar in get_purity but massvar in FOM, etc)
• Implement dynamic range calculation in plotFom

Version 1.0.4

• Bugfix main and implement a for loop to plot multiple variables
• Create usage details in README.md

Version 1.0.3

• Change readme such that recent versions are at the top
• Remove plotBias function, as it is very niche
• Remove unused parameter myrange in get_sigeff and get_purity
• Add main() function
• Add interactivity boolean in constructor call to decide whether or not to save plots to a .png or show them directly

Version 1.0.2

• Edit README.md
• Remove tests/ directory (unit tests are not particularly useful for this package)
• Rename directories so imports are more intuitive

Version 1.0.1

• Add unit tests
• Switch backend to hatchling
• Move metadeta to pyproject.toml and clean it up
• Remove brackets from LICENSE.txt
• Create tests/ directory

Version 1.0.0

Initial launch.