How to extract stats from statannotations

[nattyht]

Hi How do I extract stat values and p-values from the analysis conducted in statannotations?

e.g. this is my example code below...

args = dict(x="disease_state", y=gene_of_interest, order=['Normal', 'Tumour'])

g = sns.catplot(col="cohort", kind="box", height=4, col_wrap = 4, aspect=.7, sharey=False, data=paired, **args, color='white')
g.map(sns.stripplot, args["x"], args["y"], order=args["order"], palette=sns.color_palette(), dodge=True)

pairs=[("Tumour", "Normal")]

for name, ax in g.axes_dict.items():
# subset the table to generate stats
        annot = Annotator(ax, pairs, **args, data=paired.loc[paired['cohort']==name,:]) 
        annot.configure(test='Wilcoxon', text_format='simple', comparisons_correction="BH", verbose=2, loc='inside')
        annot.apply_test().annotate()

[zyliu-OU]

In my project, there are 6 comparisons, so I output into 6 lists then zip them into a dataframe.

g1, test_results = annot_1.annotate()
stat_results = [(result.data._corrected_significance) for result in test_results]
list_1.append(stat_results[0])
list_2.append(stat_results[1])
list_3.append(stat_results[2])
list_4.append(stat_results[3])
list_5.append(stat_results[4])
list_6.append(stat_results[5])

df_final = pandas.DataFrame(list(zip(mass_list, list_1, list_2, list_3, list_4, list_5, list_6)), columns=['filename', 'column_name_1', 'column_name_2', 'column_name_3', 'column_name_4', 'column_name_5', 'column_name_6'])