Metadata-Version: 2.1
Name: md-plot
Version: 0.2.0
Summary: Draws a mirrored density plot for each input column
Download-URL: https://github.com/TinoGehlert/md_plot/archive/v0.2.0.tar.gz
Author: TinoGehlert
Author-email: tinogehlert@aol.com
License: GNU General Public License v3 (GPLv3)
Project-URL: R-Version, https://cran.r-project.org/web/packages/DataVisualizations/index.html
Project-URL: Source, https://github.com/TinoGehlert/md_plot
Project-URL: Docs, https://md-plot.readthedocs.io
Keywords: data_science violin density_plot
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Topic :: Scientific/Engineering
License-File: LICENSE.txt

Mirrored Density Plot
=====================

This function creates a MD-plot for each column of the dataframe. The MD-plot is a visualization
for a boxplot-like Shape of the PDF published in [Thrun/Ultsch, 2019]. It is an improvement of
violin or so-called bean plots and posses advantages in comparison to the conventional well-known
box plot [Thrun/Ultsch, 2019]. This is the Python implementation of the function MD-Plot contained 
in R package [DataVisualizations](https://cran.r-project.org/web/packages/DataVisualizations/index.html)

Basic Usage
^^^^^^^^^^^

from md_plot import MDplot, load_examples

dctExamples = load_examples()

MDplot(dctExamples["BimodalArtificial"])
