statannotcolor 0.1.3

add color to statannot

Disclaimer

This repository is based on webermarcolivier/statannot (commit 1835078 of Feb 21, 2020, tagged "v0.2.3"). Another version available can be found in https://github.com/trevismd/statannotations

Additions/modifications since that version are below represented in bold (previous fixes are not listed).

What is it

Python package to optionnally compute statistical test and add statistical annotations on an existing boxplot/barplot generated by seaborn. We constantly add new features including customized colors, locations, etc.

Features

• Single function to add statistical annotations on an existing boxplot/barplot generated by seaborn boxplot.
• Integrated statistical tests (binding to scipy.stats methods):
  • Mann-Whitney
  • t-test (independent and paired)
  • Welch's t-test
  • Levene test
  • Wilcoxon test
  • Kruskal-Wallis test
• Smart layout of multiple annotations with correct y offsets.
• Annotations can be located inside or outside the plot.
• Format of the statistical test annotation can be customized: star annotation, simplified p-value, or explicit p-value.
• Optionally, custom p-values can be given as input. In this case, no statistical test is performed.

Installation

The latest stable release can be installed from PyPI:

pip install statannotcolor

You may instead want to use the development version from Github:

pip install ttps://github.com/XianchengLI/statannotcolor.git

Documentation

See example jupyter notebook example/example.ipynb.

Usage

Here is a minimal example:

More examples are available in the jupyter notebook example/example.ipynb.

Examples

Requirements

• Python >= 3.5
• numpy >= 1.12.1
• seaborn >= 0.8.1
• matplotlib >= 2.2.2
• pandas >= 0.23.0
• scipy >= 1.1.0

Cite

A Digital Object Identifiers (DOIs) was created for the repository for easier referencing in the academic literature.