code: def likelihood3(args):
      
      from matplotlib import gridspec
  
      p = OptionParser(likelihood3.__doc__)
      opts, args, iopts = p.set_image_options(args, figsize="10x10",
                                  style="white", cmap="coolwarm")
      if len(args) != 2:
          sys.exit(not p.print_help())
  
      jsonfile1, jsonfile2 = args
      fig = plt.figure(figsize=(iopts.w, iopts.h))
      gs = gridspec.GridSpec(9, 2)
      ax1 = fig.add_subplot(gs[:4, 0])
      ax2 = fig.add_subplot(gs[:2, 1])
      ax3 = fig.add_subplot(gs[2:4, 1])
      ax4 = fig.add_subplot(gs[5:, 0])
      ax5 = fig.add_subplot(gs[5:7, 1])
      ax6 = fig.add_subplot(gs[7:, 1])
      plt.tight_layout(pad=2)
  
      plot_panel(jsonfile1, ax1, ax2, ax3, opts.cmap)
      plot_panel(jsonfile2, ax4, ax5, ax6, opts.cmap)
  
      root = fig.add_axes([0, 0, 1, 1])
      pad = .02
      panel_labels(root, ((pad, 1 - pad, "A"), (pad, 4. / 9, "B")))
      normalize_axes(root)
  
      image_name = "likelihood3." + iopts.format
      savefig(image_name, dpi=iopts.dpi, iopts=iopts)
docs: %prog likelihood3 140_20.json 140_70.json
  
      Plot the likelihood surface and marginal distributions for two settings.