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.
Releases
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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