【2.5.4.2】statannot--boxplot显著性标注

一、安装：

The latest stable release can be installed from PyPI:

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

pip install git+https://github.com/webermarcolivier/statannot.git

二、说明：

在boxplot中补充显著性差异

import statannot
statannot.add_stat_annotation(
    ax,
    data=df,
    x=x,
    y=y,
    hue=hue,
    box_pairs=[
        (("Biscoe", "Male"), ("Torgersen", "Female")),
        (("Dream", "Male"), ("Dream", "Female")),
    ],
    test="t-test_ind",
    text_format="star",
    loc="outside",
)

三、示例

代码

import seaborn as sns
from statannot import add_stat_annotation

df = sns.load_dataset("tips")
x = "day"
y = "total_bill"
order = ['Sun', 'Thur', 'Fri', 'Sat']
ax = sns.boxplot(data=df, x=x, y=y, order=order)
test_results = add_stat_annotation(ax, data=df, x=x, y=y, order=order,
                                   box_pairs=[("Thur", "Fri"), ("Thur", "Sat"), ("Fri", "Sun")],
                                   test='Mann-Whitney', text_format='star',
                                   loc='outside', verbose=2)
test_results

参考资料：

• https://bbquercus.medium.com/adding-statistical-significance-asterisks-to-seaborn-plots-9c8317383235
• https://github.com/webermarcolivier/statannot