Vous pouvez le faire en redimensionnant les parcelles :
g = sns.FacetGrid(df, row="Type", hue="Name", size=3, aspect=3)
g = g.map(sns.plt.plot, "Volume", "Index")
for ax in g.axes.flat:
box = ax.get_position()
ax.set_position([box.x0,box.y0,box.width*0.9,box.height])
sns.plt.legend(loc='center left',bbox_to_anchor=(1,0.5))
sns.plt.show()
Ejemplo:
import seaborn as sns
tips = sns.load_dataset('tips')
# more informative values
condition = tips['smoker'] == 'Yes'
tips['smoking_status'] = ''
tips.loc[condition,'smoking_status'] = 'Smoker'
tips.loc[~condition,'smoking_status'] = 'Non-Smoker'
g = sns.FacetGrid(tips,row='sex',hue='smoking_status',size=3,aspect=3)
g = g.map(plt.scatter,'total_bill','tip')
for ax in g.axes.flat:
box = ax.get_position()
ax.set_position([box.x0,box.y0,box.width*0.85,box.height])
sns.plt.legend(loc='upper left',bbox_to_anchor=(1,0.5))
sns.plt.show()
Résultats dans :