Examining phase and target.py

subplot = sns.countplot(x='target', data=df_metadata_train)

# https://github.com/mwaskom/seaborn/issues/1582
for i,j in enumerate(subplot.patches):
    percent = np.round((df_metadata_train[df_metadata_train['target']==i].shape[0]/df_metadata_train['target'].shape[0])*100, 2)
    subplot.annotate(str(df_metadata_train[df_metadata_train['target']==i].shape[0]) + f" ({percent}%)", 
                 (j.get_x()+j.get_width()/2, j.get_height()))
plt.title("Distribution of target classes")
plt.show()

ok