for mdl in modname:
  pod=d[ (d.MODEL == mdl) & (d.SCORE == "PODY")].VALUE
  far=d[ (d.MODEL == mdl) & (d.SCORE == "FAR")].VALUE
  csi=d[ (d.MODEL == mdl) & (d.SCORE == "CSI")].VALUE
  bias=d[ (d.MODEL == mdl) & (d.SCORE == "FBIAS")].VALUE
  sro = 1 - far

  print mdl
  print pod
  print far
  print csi
  print bias
  print sro

fig = plt.figure(figsize=(12,12))

for mdl in modname:
  plt.scatter(sro,pod,color=leg_col[i],marker='.',s=750)
  plt.savefig(imgdir+outf)