Ridgeline plotの描き方

複数の分布をグループorカテゴリ別に重ね合わせて表示する図(Ridgeline plots)の書き方．Joyplotとも言う？

from scipy.stats import gaussian_kde
import matplotlib.pyplot as plt


plt.figure(figsize=(4, 6), dpi=150)
def ridgeline(data,overlap=0.5,fill=True,labels=None,n_points=150):
    xx=np.linspace(np.min(np.concatenate(data)),np.max(np.concatenate(data)),n_points)
    curves=[]
    ys=[]
    for i,d in enumerate(data):
        pdf=gaussian_kde(d)
        y=i*(1.0-overlap)
        curve=pdf(xx)
        if fill:
            plt.fill_between(xx,np.ones(n_points)*y,curve+y,zorder=len(data)-i+1,alpha=0.1,color=fill)
        plt.plot(xx,curve+y,c='k',zorder=len(data)-i+1)
        plt.xlim(-1,1)
        #plt.ylim(10,50)
    if labels:
        plt.yticks(ys,labels)
data=(FFT[index,19+10:19+51]-GA[index,19+10:19+51]).T
print(np.shape(data))
ridgeline(data,overlap=0,fill='blue')