def drawKernelHist(ax, kernel):
ext = kernel.extension
theta = kernel.theta
lon, lat = kernel.lon, kernel.lat
xmin,xmax = -5*ext,5*ext
ymin,ymax = -5*ext,5*ext,
x = np.linspace(xmin,xmax,100)+kernel.lon
y = np.linspace(ymin,ymax,100)+kernel.lat
xx,yy = np.meshgrid(x,y)
zz = kernel.pdf(xx,yy)
im = ax.imshow(zz)#,extent=[xmin,xmax,ymin,ymax])
hax,vax = draw_slices(ax,zz,color='k')
mc_lon,mc_lat = kernel.sample(1e5)
hist,xedges,yedges = np.histogram2d(mc_lon,mc_lat,bins=[len(x),len(y)],
range=[[x.min(),x.max()],[y.min(),y.max()]])
xbins,ybins = np.arange(hist.shape[0])+0.5,np.arange(hist.shape[1])+0.5
vzz = zz.sum(axis=0)
hzz = zz.sum(axis=1)
vmc = hist.sum(axis=0)
hmc = hist.sum(axis=1)
vscale = vzz.max()/vmc.max()
hscale = hzz.max()/hmc.max()
kwargs = dict(marker='.',ls='',color='r')
hax.errorbar(hmc*hscale, ybins, xerr=np.sqrt(hmc)*hscale,**kwargs)
vax.errorbar(xbins, vmc*vscale,yerr=np.sqrt(vmc)*vscale,**kwargs)
ax.set_ylim(0,len(y))
ax.set_xlim(0,len(x))
#try: ax.cax.colorbar(im)
#except: pylab.colorbar(im)
#a0 = np.array([0.,0.])
#a1 =kernel.a*np.array([np.sin(np.deg2rad(theta)),-np.cos(np.deg2rad(theta))])
#ax.plot([a0[0],a1[0]],[a0[1],a1[1]],'-ob')
#
#b0 = np.array([0.,0.])
#b1 =kernel.b*np.array([np.cos(np.radians(theta)),np.sin(np.radians(theta))])
#ax.plot([b0[0],b1[0]],[b0[1],b1[1]],'-or')
label_kwargs = dict(xy=(0.05,0.05),xycoords='axes fraction', xytext=(0, 0),
textcoords='offset points',ha='left', va='bottom',size=10,
bbox={'boxstyle':"round",'fc':'1'}, zorder=10)
norm = zz.sum() * (x[1]-x[0])**2
ax.annotate("Sum = %.2f"%norm,**label_kwargs)
#ax.set_xlabel(r'$\Delta$ LON (deg)')
#ax.set_ylabel(r'$\Delta$ LAT (deg)')
###################################################
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