KDE_RidgePlot.py
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	import numpy as np
	import pandas as pd
	import seaborn as sns
	import matplotlib.pyplot as plt
	sns.set(style="white", rc={"axes.facecolor": (0, 0, 0, 0)})

	# Create the data
	rs = np.random.RandomState(1979)
	x = rs.randn(500)
	g = np.tile(list("ABCDEFGHIJ"), 50)
	df = pd.DataFrame(dict(x=x, g=g))
	m = df.g.map(ord)
	df["x"] += m

	# Initialize the FacetGrid object
	pal = sns.cubehelix_palette(10, rot=-.25, light=.7)
	g = sns.FacetGrid(df, row="g", hue="g", aspect=15, height=.5, palette=pal)

	# Draw the densities in a few steps
	g.map(sns.kdeplot, "x", clip_on=False, shade=True, alpha=1, lw=1.5, bw=.2)
	g.map(sns.kdeplot, "x", clip_on=False, color="w", lw=2, bw=.2)
	g.map(plt.axhline, y=0, lw=2, clip_on=False)


	# Define and use a simple function to label the plot in axes coordinates
	def label(x, color, label):
	ax = plt.gca()
	ax.text(0, .2, label, fontweight="bold", color=color,
	ha="left", va="center", transform=ax.transAxes)


	g.map(label, "x")

	# Set the subplots to overlap
	g.fig.subplots_adjust(hspace=-.25)

	# Remove axes details that don't play well with overlap
	g.set_titles("")
	g.set(yticks=[])
	g.despine(bottom=True, left=True)

	g.fig.savefig()
	plt.show()