Mirrored Density Plot - MD-Plot

What is it

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

Where to get it

The source code is hosted on GitHub at: https://github.com/TinoGehlert/md_plot

pip install md_plot

Basic Usage

from md_plot import MDplot, load_examples

dctExamples = load_examples()

MDplot(dctExamples["BimodalArtificial"])

Dependencies

• pandas: 0.24.2 or higher
• NumPy: 1.16.0 or higher
• scipy: 1.1.0 or higher
• matplotlib: 3.1.0 or higher
• plotnine: 0.5.1 or higher
• unidip: 0.1.1 or higher

Windows users of Anaconda distribution should update numpy, scipy and matplotlib via conda instead of pip.