for var in hist_parameters:
hw_leg = TLegend(0.4, 0.7, 0.7, 0.85)
set_legend_style(hw_leg)
a = hists_input[var].GetBinContent(hists_input[var].GetMaximumBin())
b = hists_output[var].GetBinContent(hists_output[var].GetMaximumBin())
c = max(a,b)
plot_modifier(hists_input[var], hist_parameters[var][0], "N", ROOT.kAzure-4)
plot_modifier(hists_output[var], hist_parameters[var][0], "N", ROOT.kBlack, 20)
plot_modifier(hists_imd[var], hist_parameters[var][0], "N", ROOT.kBlack)
hists_imd[var].SetFillStyle(0)
hists_imd[var].SetLineStyle(2)
hists_input[var].GetYaxis().SetRangeUser(0, 1.1*c)
hists_input[var].GetYaxis().SetTitle("N")
txt = TLatex(0.48, 0.87, "N input events: {n}".format(n=input_parser.get_n_valid()/6))
set_text_style(txt)
hw_leg.AddEntry(hists_input[var], "RX content (N={tot})".format(tot=hists_input[var].Integral()), "f")
hw_leg.AddEntry(hists_imd[var], "TX: intermediate (N={tot})".format(tot=hists_imd[var].Integral()), "f")
hw_leg.AddEntry(hists_output[var], "TX: final (N={tot})".format(tot=hists_output[var].Integral()), "P")
hists_input[var].Draw()
hists_output[var].Draw("textPsame")
hw_leg.Draw()
hists_imd[var].Draw("same")
txt.Draw()
canvas.Print("{f}/figures/hw_{name}.pdf".format(f=fnames['base'], name=hist_parameters[var][0]))
plot_modifier(hists_input[var], hist_parameters[var][0], "N",
ROOT.kAzure - 4)
plot_modifier(hists_output[var], hist_parameters[var][0], "N",
ROOT.kBlack, 20)
plot_modifier(hists_imd[var], hist_parameters[var][0], "N",
ROOT.kBlack)
hists_imd[var].SetFillStyle(0)
hists_imd[var].SetLineStyle(2)
hists_input[var].GetYaxis().SetRangeUser(0, 1.1 * c)
hists_input[var].GetYaxis().SetTitle("N")
txt = TLatex(
0.48, 0.87,
"N input events: {n}".format(n=input_parser.get_n_valid() / 6))
set_text_style(txt)
hw_leg.AddEntry(
hists_input[var],
"RX content (N={tot})".format(tot=hists_input[var].Integral()),
"f")
hw_leg.AddEntry(
hists_imd[var], "TX: intermediate (N={tot})".format(
tot=hists_imd[var].Integral()), "f")
hw_leg.AddEntry(
hists_output[var],
"TX: final (N={tot})".format(tot=hists_output[var].Integral()),
"P")
hists_input[var].Draw()
