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import numpy as np
import matplotlib.pylab as pl
from matplotlib import gridspec
def otplot1D(a,b,M,title=''):
""" Plot matrix M with the source and target 1D distribution """
na=M.shape[0]
nb=M.shape[1]
gs = gridspec.GridSpec(3, 3)
xa=np.arange(na)
xb=np.arange(nb)
ax1=pl.subplot(gs[0,1:])
pl.plot(xb,b,'r',label='Target distribution')
pl.yticks(())
pl.title(title)
#pl.axis('off')
ax2=pl.subplot(gs[1:,0])
pl.plot(a,xa,'b',label='Source distribution')
pl.gca().invert_xaxis()
pl.gca().invert_yaxis()
pl.xticks(())
#pl.ylim((0,n))
#pl.axis('off')
pl.subplot(gs[1:,1:],sharex=ax1,sharey=ax2)
pl.imshow(M,interpolation='nearest')
pl.xlim((0,nb))
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