def vio_p(top = win_rate()[0]):
y = [i[1][0] for i in top]
iqr = y[int(len(y)/4)]-y[int(len(y)/43)]
dis = y[0]-iqr1.5
plt.figure(figsize=(6,6),dpi=80)
plt.annotate(‘distribution:{0}’.format(str(dis)),xy=(1.0,dis),xytext=(1.1,dis),fontsize=12,arrowprops=dict(facecolor=’black’,shrink=0.05))
plt.violinplot(dataset = y, showmeans=True, showmedians=True)
plt.show()

Official Document of Matplotlib

• Matplotlib