<jupyter_start><jupyter_text>np.savetxt('/u/ki/swmclau2/Git/pearce/bin/mcmc/buzzard2_nd_%d%d.npy'%(zbin, zbin),np.array(nd.value).reshape(1, 1))<jupyter_code>mbins = np.logspace(np.log10(5e12), 15, 21)
mbc = mbins[1:]+mbins[:-1]
hod_measurement_fname = '/u/ki/jderose/notebooks/des/redmagic_hod_buzzard1_v1.3_mean_5e12.npy'
hod = np.load(hod_measurement_fname)
hod.shape
mbins.shape
cen_hod = hod[:,0,1]/hod[:,0,0]
sat_hod = hod[:,0,2]/hod[:,0,0]

plt.plot(mbc, cen_hod)#+sat_hod)
plt.xscale('log')
plt.xlim(5e12, 1e15)<jupyter_output><empty_output>
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