Seaborn Catplot support

[Shrulik]

Is there support planned ?

Is it possible to make the current version work with catplot if I work with the FacetGrid that is returned from the sns.catplot ?

For example, maybe passing a function to g.map_dataframe and for each axis to do the annotations ?

[mrcfschr]

I did it like this:

col_df = "ball height" 
row_df = 'scenario'
x = 'light type'
hue = 'occluder type' #just column names of the dataframe
comp_pairs = [((data_df[x].unique()[0],data_df[hue].unique()[0]), (data_df[x].unique()[1],data_df[hue].unique()[0])),
                           ((data_df[x].unique()[0],data_df[hue].unique()[1]), (data_df[x].unique()[1],data_df[hue].unique()[1])),
                          ((data_df[x].unique()[0],data_df[hue].unique()[0]), (data_df[x].unique()[0],data_df[hue].unique()[1])),
                          ((data_df[x].unique()[1],data_df[hue].unique()[0]), (data_df[x].unique()[1],data_df[hue].unique()[1]))]

 for i,ax in g.axes_dict.items():
        annotator = Annotator(ax=ax, pairs=comp_pairs, **fig_args, plot='stripplot', data=data_df[(data_df[row_df] == i[0]) & (data_df[col_df]==i[1])]) 
        annotator.configure(**configuration).apply_test().annotate()

[hmassalha]

Thanks for the great tool...

Original seaborn catplot code (my data is a catplot of grouped box plots (2 boxplots each group)):

g = sns.catplot(x='age_group', y="expression", height=2, aspect=0.8, hue="treatment", palette=treatment_color[0],treatment_color[-1]],
            kind="box", data=dat2plot, col='gene',col_wrap=5, width=0.7 ,sharey=False,
            flierprops={'marker': 'o', 'markersize': 3, 'markerfacecolor': 'gray', 
                        'markeredgewidth':None, 'markeredgecolor':None, 'alpha':.2},
            );

Same output with statistics on (you need to add a line for the legend as it was missing for me):

from statannotations.Annotator import Annotator
annot = Annotator(None, pairs)

plot_params = {
    'x':'age_group',
    'y':'expression',
    'hue':'treatment',
    'palette':[treatment_color[0], treatment_color[-1]],
    'flierprops':{'marker': 'o', 'markersize': 3, 'markerfacecolor': 'gray', 
                        'markeredgewidth':None, 'markeredgecolor':None, 'alpha':.2},
}

g = sns.FacetGrid(dat2plot, col='gene', height=2, aspect=0.8, sharey=False, col_wrap=5)
g.map_dataframe(annot.plot_and_annotate_facets, plot='boxplot',
                plot_params=plot_params,
                configuration={"test": "Mann-Whitney", "verbose":False, 'line_width':0.75, 'line_offset_to_group':0},
                annotation_func="apply_test",
               )
g.add_legend(title='treatment')