def __make_overlay(self, pileup, threshold, hists, fits, labels, header):
with preserve_current_style():
name = self.filename_format.format(pileup=pileup,
threshold=threshold)
xmin = hists[0].GetTotalHistogram().GetBinLowEdge(1)
xmax = hists[0].GetTotalHistogram().GetBinLowEdge(
hists[0].GetTotalHistogram().GetNbinsX() + 1)
# Draw each efficiency (with fit)
draw_args = {
"xtitle": self.offline_title,
"ytitle": "Efficiency",
"xlimits": [xmin, xmax]
}
canvas = draw(hists, draw_args=draw_args)
if len(fits) > 0:
for fit, hist in zip(fits, hists):
fit["asymmetric"].linecolor = hist.GetLineColor()
fit["asymmetric"].Draw("same")
# Add labels
label_canvas()
# Add a legend
legend = Legend(
len(hists),
header=self.legend_title,
topmargin=0.35,
rightmargin=0.3,
leftmargin=0.7,
textsize=0.025,
entryheight=0.028,
)
for hist, label in zip(hists, labels):
legend.AddEntry(hist, label)
legend.SetBorderSize(0)
legend.Draw()
for val in [0.25, 0.5, 0.75, 0.95, 1.]:
line = ROOT.TLine(xmin, val, xmax, val)
line.SetLineStyle("dashed")
line.SetLineColor(15)
line.Draw()
for thresh in self.thresholds.bins:
line = ROOT.TLine(thresh, 0., thresh, 1.)
line.SetLineStyle("dashed")
line.SetLineColor(15)
line.Draw()
# Save canvas to file
self.save_canvas(canvas, name)
def draw_lines(params):
lines = []
line_100 = ROOT.TLine(params.xmin, 1, params.xmax, 1)
line_95 = ROOT.TLine(params.xmin, 0.95, params.xmax, 0.95)
line_100.SetLineWidth(2)
line_95.SetLineWidth(2)
line_95.SetLineStyle(2)
line_100.Draw()
line_95.Draw()
lines.append(line_100)
lines.append(line_95)
return lines
def __make_overlay(self, hists, fits, labels, ytitle, suffix=""):
with preserve_current_style():
# Draw each resolution (with fit)
# TODO: this feels like it does not belong here
for hist in hists:
hist.GetYaxis().SetRangeUser(0, 0.1)
hist.GetYaxis().SetTitleOffset(1.4)
xtitle = self.resolution_method.label.format(
on=self.online_title, off=self.offline_title)
canvas = draw(hists,
draw_args={
"xtitle": xtitle,
"ytitle": ytitle
})
if fits:
for fit, hist in zip(fits, hists):
fit["asymmetric"].linecolor = hist.GetLineColor()
fit["asymmetric"].Draw("same")
# Add labels
label_canvas()
# Add a legend
legend = Legend(
len(hists),
header=self.legend_title,
topmargin=0.35,
rightmargin=0.3,
leftmargin=0.7,
textsize=0.03,
entryheight=0.03,
)
for hist, label in zip(hists, labels):
legend.AddEntry(hist, label)
legend.SetBorderSize(0)
legend.Draw()
ymax = 1.2 * max([hist.GetMaximum() for hist in hists])
line = ROOT.TLine(0., 0., 0., ymax)
line.SetLineColor(15)
# Save canvas to file
name = self.filename_format.format(pileup="all")
self.save_canvas(canvas, name + suffix)
def __make_overlay(self, pileup, threshold, hists, fits, labels, header):
with preserve_current_style():
name = self.filename_format.format(pileup=pileup,
threshold=threshold)
# Draw each efficiency (with fit)
draw_args = {"xtitle": self.offline_title, "ytitle": "Efficiency"}
# TODO: special case should not be implemented here!
if 'Jet' in name and 'HiRange' in name:
draw_args['xlimits'] = [20, 2000]
canvas = draw(hists, draw_args=draw_args)
if len(fits) > 0:
for fit, hist in zip(fits, hists):
fit["asymmetric"].linecolor = hist.GetLineColor()
fit["asymmetric"].Draw("same")
# Add labels
label_canvas()
# Add a legend
legend = Legend(
len(hists),
header=self.legend_title,
topmargin=0.35,
rightmargin=0.3,
leftmargin=0.7,
textsize=0.025,
entryheight=0.028,
)
for hist, label in zip(hists, labels):
legend.AddEntry(hist, label)
legend.SetBorderSize(0)
legend.Draw()
xmin = 0
xmax = self.x_max
# TODO: also specialisation, needs removal
if ("HT" in name):
xmax = 800
xmin = 30
if ("MET" in name):
xmin = 0
xmax = 400
if ("Jet" in name):
xmin = 20
xmax = 400
if ("HiRange" in name):
xmax = 2000
for val in [0.25, 0.5, 0.75, 0.95, 1.]:
line = ROOT.TLine(xmin, val, xmax, val)
line.SetLineStyle("dashed")
line.SetLineColor(15)
line.Draw()
for val in range(100, xmax, 100):
line = ROOT.TLine(val, 0., val, 1.)
line.SetLineStyle("dashed")
line.SetLineColor(15)
line.Draw()
# Save canvas to file
self.save_canvas(canvas, name)
fitted.SetY2(-0.075)
fitted.Draw(fitdrawopts) #'' if args.conly else 'P SAME')
canvas.SaveAs('%s/fail.png' % indir)
canvas.SaveAs('%s/fail.pdf' % indir)
ROOT.TColor.CreateGradientColorTable(3, array('d', [0., 0.682, 1.]),
array('d', [0., .95, 1.]),
array('d', [0., .95, 0.]),
array('d', [1., .95, 0.]), 255)
ccover.Draw(hdrawopts) #'HIST' if args.conly else 'colz text')
getattr(ccover, axis).range_user = (0., 1)
add = None
if args.conly:
fitted.SetY1(0.175)
fitted.SetY2(0.025)
add = ROOT.TLine(ccover[1].x.low, 0.682, ccover[-1].x.low, 0.682)
add.SetLineWidth(2)
add.SetLineColor(ROOT.kRed)
add.SetLineStyle(2)
add.Draw()
fitted.Draw(fitdrawopts) #'' if args.conly else 'P SAME')
canvas.SaveAs('%s/ccover.png' % indir)
canvas.SaveAs('%s/ccover.pdf' % indir)
if args.systematic:
ccover_p.Draw(hdrawopts) #'HIST' if args.conly else 'colz text')
getattr(ccover_p, axis).range_user = (0., 1)
if add is not None:
add.Draw()
fitted.Draw(fitdrawopts)
canvas.SaveAs('%s/ccover_p.png' % indir)
