A python implementation of the Raincloud plot! https://github.com/RainCloudPlots/RainCloudPlots

You can install it via

pip install ptitprince

or via conda

conda install -c pog87 ptitprince

or cloning this repo in your working directory and run the usual

python setup.py install

To cite Raincloud plots please use the following information:

Allen M, Poggiali D, Whitaker K et al. Raincloud plots: a multi-platform tool for robust data visualization [version 1; peer review: 2 approved]. Wellcome Open Res 2019, 4:63. DOI: 10.12688/wellcomeopenres.15191.1

This is a python version of the Raincloud plot (or PetitPrince plot, depending on the orientation) from R (under ggplot2) to Python. The Raincloud plot is a variant of the violin plot written in R ggplot2 by Micah Allen.

I found a tweet asking for a .py version of the RainCloud plot, and I agreed to give it a try. Alas, the py version for ggplot2 does not allow to create new styles in a confortable way. So I decided to write this package using the seaborn library as a requisite.

Then I replicated the plots from the original post by Micah Allen, using Jupyter.

* PtitPrince now relies on seaborn 0.10 and numpy >= 1.13
* kwargs can be passed to the [cloud (default), boxplot, rain/stripplot, pointplot]
                 by preponing [cloud_, box_, rain_, point_] to the argument name.
* End of support for python2, now the support covers python>=3.6

• ask seaborn mantainers to add this new plot type (not gonna happen)
• add a "move" option in seabon to control the positioning of each plot, as in ggplot2. (either, added in ptitprince)
• get RainCloud published (done!)
• add logarithic density estimate (LDE) to the options for the cloud

List that metions this package.