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diff --git a/examples/demo_barycenter_1D.py b/examples/demo_barycenter_1D.py
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+# -*- coding: utf-8 -*-
+"""
+Created on Fri Oct 21 09:51:45 2016
+
+@author: rflamary
+"""
+
+import numpy as np
+import matplotlib.pylab as pl
+import ot
+
+
+
+#%% parameters
+
+n=100 # nb bins
+
+# bin positions
+x=np.arange(n,dtype=np.float64)
+
+# Gaussian distributions
+a1=ot.datasets.get_1D_gauss(n,m=20,s=20) # m= mean, s= std
+a2=ot.datasets.get_1D_gauss(n,m=60,s=60)
+
+A=np.vstack((a1,a2)).T
+nbd=A.shape[1]
+
+# loss matrix
+M=ot.utils.dist0(n)
+M/=M.max()
+
+#%% plot the distributions
+
+pl.figure(1)
+for i in range(nbd):
+    pl.plot(x,A[:,i])
+pl.title('Distributions')
+
+#%% barucenter computation
+
+# l2bary
+bary_l2=A.mean(1)
+
+# wasserstein
+reg=1e-2
+log=dict()
+bary_wass=ot.bregman.barycenter(A,M,reg,log=log)
+
+pl.figure(2)
+pl.clf()
+pl.subplot(2,1,1)
+for i in range(nbd):
+    pl.plot(x,A[:,i])
+pl.title('Distributions')
+
+pl.subplot(2,1,2)
+pl.plot(x,bary_l2,'r',label='l2')
+pl.plot(x,bary_wass,'g',label='Wasserstein')
+pl.legend()
+pl.title('Barycenters')