Python-statannotations库添加显著性标注：
1、官网资料：https://github.com/trevismd/statannotations
官网例子：

import seaborn as sns

from statannotations.Annotator import Annotator

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)

pairs=[("Thur", "Fri"), ("Thur", "Sat"), ("Fri", "Sun")]

annotator = Annotator(ax, pairs, data=df, x=x, y=y, order=order)
annotator.configure(test='Mann-Whitney', text_format='star', loc='outside')
annotator.apply_and_annotate()

结果：

更多例子参考：
https://github.com/trevismd/statannotations/blob/master/usage/example.ipynb

2、具体实现过程【关键代码】：

from statannotations.Annotator import Annotator
#绘制显著性+星号
pairs_width=[(1, 2), (2, 3)]
annotator_width = Annotator(ax3, pairs_width, data=df, x='class', y='y', order=[1, 2, 3])
annotator_width.configure(test='Mann-Whitney', text_format='star',line_height=0.00001,line_width=0.5,fontsize=6)
annotator_width.apply_and_annotate()

3、属性设置

annotator_width.configure(test='Mann-Whitney', text_format='star',line_height=0.00001,line_width=0.5,fontsize=6)
annotator_width.apply_test().annotate(line_offset_to_group=0.2, line_offset=0.1)

4、检测方法

• Mann-Whitney
• t-test (independent and paired)
• Welch’s t-test
• Levene test
• Wilcoxon test
• Kruskal-Wallis test
• Brunner-Munzel test