A simple Python package for use by Belle II analysts to make various plots out of pandas dataframes and numpy arrays.
Project description
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 4.0.2
- 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 toplotFom
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.
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