statannotcolor 0.1.2

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:

`python pip install statannotcolor ` You may instead want to use the development version from Github:

`python 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.