b2-plotter 4.0.5

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 from interpretation of Belle II ROOT mDST files.

Releases

Version 4.0.5

• Bugfix getSigEff calculation with scale parameter

Version 4.0.4

• Add scale/bgscale functionality to plotFom, plotStep, getPurity, getSigEff (latter 2 renamed for consistency)

Version 4.0.3

• Use numpy's std instead of mean and add parenthesis to cut f string

Version 4.0.2

• Shift the data sidebands (when blinding is enabled) by +/- 3 sigma

Version 4.0.1

• Remove the actual duplicate data label..

Version 4.0.0

• Remove duplicate data label in plotData()

Version 3.0.9

• Again bugfix data plotting

Version 3.0.8

• Bugfix data plotting

Version 3.0.7

• Add signalregion and massvar to constructor call and remove it as a parameter from plotFom, getpurity, getsigeff
• Split up plot into two functions, plotMC and plotData
  • Add blinding functionality to plotData function

Version 3.0.6

• Add blinding to invariant mass distributions through introduction of addBlinding parameter to initialization

Version 3.0.5

• Update example.ipynb

Version 3.0.4

• Bugfix missing call to colors parameter

Version 3.0.3

• Make colors() for plot an argument with default for all MC types, so that it can be overridden if needed

Version 3.0.2

• Bugfix additional root_pandas call

Version 3.0.1

• Remove deprecated root_pandas library, replace with uproot
• Update main() with a working example usage for xi03pi
• Add unit tests

Version 2.0.9

• 2.0.8 bugfix (missing comma)

Version 2.0.8

• Remove scaled signal feature -- will work on this on a later release
• Specify the colors of plot() histograms since the signal was defaulting to grey

Version 2.0.7

• Bugfix to version 2.0.6, where scaled signal was not properly showing

Version 2.0.6

• Change functions to return plots instead of displaying them, and remove interactive feature
• Add a scaled signal histogram to the plot function
• Update dynamic range calculation in plotFom for isGreaterThan = False cuts to prevent division by zero errors

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.