parser = argparse.ArgumentParser()
# parser.add_argument('--input', '-i', help='Output of PostFitShapes or PostFitShapesFromWorkspace, specified as FILE:BIN')
parser.add_argument('--output', '-o', default=None, help='Output name')
parser.add_argument('--typet', '-t', default='cat', help='category or channel')
# parser.add_argument('--channel', '-c', default='mt', choices=['mt', 'et', 'em', 'tt', 'mm'], help='Channel')
# parser.add_argument('--x-title', default='m_{ll}', help='x-axis variable, without GeV')
# parser.add_argument('--logy', action='store_true')
# parser.add_argument('--y-min', type=float, default=1)
args = parser.parse_args()
Type = args.typet
# Canvas and pads
canv = ROOT.TCanvas(args.output, args.output)
pads = plot.OnePad()
pads[0].SetTicks(1, -1)
axis = ROOT.TH2F('axis', '', 1, -.5, 3, 10, 0, 10)
plot.Set(axis.GetYaxis(), LabelSize=0)
plot.Set(axis.GetXaxis(), Title='Best fit #mu = #sigma/#sigma_{SM}')
axis.Draw()
y_pos = 8.5
x_text = 1.85
latex = ROOT.TLatex()
latexNum = ROOT.TLatex()
plot.Set(latex, TextAlign=12, TextSize=0.035)
plot.Set(latexNum, TextAlign=12, TextSize=0.025)
def plot_hadronic(input_file, triggers, working_points, file_types, era,
per_dm, output, draw_options, title, y_range, ratio_y_range,
binned_in, x_title, ratio_to, plot_dir, label_pos):
ROOT.PyConfig.IgnoreCommandLineOptions = True
ROOT.gROOT.SetBatch(ROOT.kTRUE)
ROOT.TH1.AddDirectory(0)
plot.ModTDRStyle()
plot_dir = "plots"
hists = {}
graphs = {}
if plot_dir != '':
os.system('mkdir -p %s' % plot_dir)
if per_dm:
decayModes = ["inclusive", 0, 1, 10]
else:
decayModes = ["inclusive"]
file = ROOT.TFile(input_file)
for trg in triggers:
hists[trg] = {}
graphs[trg] = {}
for decayMode in decayModes:
dm_label = "" if decayMode == "inclusive" else "dm{}_".format(
decayMode)
hists[trg][decayMode] = {}
graphs[trg][decayMode] = {}
for wp in working_points:
hists[trg][decayMode][wp] = []
graphs[trg][decayMode][wp] = []
for ft in file_types:
hists[trg][decayMode][wp].append(
file.Get(
"hist_{}TriggerEfficiency_{}TauMVA_{}{}".format(
trg, wp, dm_label, ft)).Clone())
graphs[trg][decayMode][wp].append(
file.Get(
"hist_{}TriggerEfficiency_{}TauMVA_{}{}".format(
trg, wp, dm_label, ft)).Clone())
file.Close()
latex = ROOT.TLatex()
latex.SetNDC()
for trg in triggers:
for decayMode in decayModes:
dm_label = "" if decayMode == "inclusive" else "dm{}_".format(
decayMode)
for wp in working_points:
bin_label = "{}".format(wp)
canv = ROOT.TCanvas('%s_%s' % (output, wp), output)
if ratio_to is not None:
pads = plot.TwoPadSplit(0.50, 0.01, 0.01)
else:
pads = plot.OnePad()
slices = []
if label_pos == 1:
text = ROOT.TPaveText(0.55, 0.37, 0.9, 0.50, 'NDC')
legend = ROOT.TLegend(0.18, 0.37, 0.5, 0.50, '', 'NDC')
elif label_pos == 2:
text = ROOT.TPaveText(0.55, 0.67, 0.9, 0.80, 'NDC')
legend = ROOT.TLegend(0.18, 0.67, 0.5, 0.80, '', 'NDC')
else:
text = ROOT.TPaveText(0.55, 0.54, 0.9, 0.67, 'NDC')
legend = ROOT.TLegend(0.55, 0.67, 0.9, 0.80, '', 'NDC')
text = ROOT.TPaveText(0.55, 0.54, 0.9, 0.67, 'NDC')
legend = ROOT.TLegend(0.6, 0.54, 0.95, 0.74, '', 'NDC')
#~ if 'ID' in splitsrc[1]:
#~ legend = ROOT.TLegend(0.18, 0.67, 0.5, 0.85, '', 'NDC')
for j, hist in enumerate(graphs[trg][decayMode][wp]):
#splitsrc = src.split(':')
# htgr = hists[j].ProjectionX('%s_projx_%i' % (hists[j].GetName(), j), i, i)
#if len(splitsrc) >= 3:
# settings = {x.split('=')[0]: eval(x.split('=')[1]) for x in splitsrc[2].split(',')}
if draw_options[j] != None:
settings = draw_options[j]
plot.Set(hist, **settings)
hist.Draw('LP SAME') #htgr.Draw('SAME')
legend.AddEntry(hist)
for j, hist in enumerate(hists[trg][decayMode][wp]):
if draw_options[j] != None:
settings = draw_options[j]
plot.Set(hist, **settings)
slices.append(hist)
latex.SetTextSize(0.06)
#~ text.AddText(args.title)
#~ text.AddText(bin_label)
#~ text.SetTextAlign(13)
#~ text.SetBorderSize(0)
#~ text.Draw()
legend.Draw()
pads[0].SetLogx(True)
axis = plot.GetAxisHist(pads[0])
axis.GetYaxis().SetTitle('Efficiency')
axis.GetXaxis().SetTitle(x_title)
# axis.GetXaxis().SetRangeUser(1,1000)
axis.SetMinimum(float(y_range[0]))
axis.SetMaximum(float(y_range[1]))
#~ pads[0].SetGrid(0, 1)
pads[0].RedrawAxis('g')
#~ plot.DrawCMSLogo(pads[0], args.title, bin_label, 0, 0.16, 0.035, 1.2, cmsTextSize=0.5)
plot.DrawTitle(
pads[0], trg + ' ' + title +
dm_label.replace('_', '').replace('dm', ' - dm') + ' - ' +
bin_label, 1)
#plot.DrawTitle(pads[0], '18.99 fb^{-1} (13 TeV)', 3)
if era == "2016":
plot.DrawTitle(pads[0], '35.9 fb^{-1} (2016, 13 TeV)', 3)
elif era == "2017":
plot.DrawTitle(pads[0], '41.5 fb^{-1} (2017, 13 TeV)', 3)
elif era == "2018":
plot.DrawTitle(pads[0], '59.7 fb^{-1} (2018, 13 TeV)', 3)
if ratio_to is not None:
pads[1].cd()
pads[1].SetLogx(True)
ratios = []
for slice in slices:
ratios.append(slice.Clone())
ratios[-1].Divide(slices[ratio_to])
ratios[0].Draw('AXIS')
plot.SetupTwoPadSplitAsRatio(pads,
plot.GetAxisHist(pads[0]),
plot.GetAxisHist(pads[1]),
'Ratio to data', True,
float(ratio_y_range[0]),
float(ratio_y_range[1]))
for j, ratio in enumerate(ratios):
if j == ratio_to:
continue
ratio.Draw('LP SAME') #('SAME E0')
pads[1].SetGrid(0, 1)
pads[1].RedrawAxis('g')
outname = '{}_{}_{}_{}{}'.format(trg, era, output, dm_label,
wp)
outname = outname.replace('(', '_')
outname = outname.replace(')', '_')
outname = outname.replace('.', '_')
canv.Print('%s/%s.png' % (plot_dir, outname))
canv.Print('%s/%s.pdf' % (plot_dir, outname))
def plot_lepton(files, label, era, output, draw_options, title, y_range,
ratio_y_range, binned_in, x_title, ratio_to, plot_dir,
label_pos):
ROOT.PyConfig.IgnoreCommandLineOptions = True
ROOT.gROOT.SetBatch(ROOT.kTRUE)
ROOT.TH1.AddDirectory(0)
plot.ModTDRStyle()
# parser = argparse.ArgumentParser()
# parser.add_argument(
# 'input', nargs='+', help="""Input files""")
# parser.add_argument(
# '--output', '-o', default='efficiency', help="""Name of the output
# plot without file extension""")
# parser.add_argument('--title', default='Muon ID Efficiency')
# parser.add_argument('--y-range', default='0,1')
# parser.add_argument('--ratio-y-range', default='0.5,1.5')
# parser.add_argument('--binned-in', default='#eta')
# parser.add_argument('--x-title', default='p_{T} (GeV)')
# parser.add_argument('--ratio-to', default=None, type=int)
# parser.add_argument('--plot-dir', '-p', default='./')
# parser.add_argument('--label-pos', default=1)
# args = parser.parse_args()
if plot_dir != '':
os.system('mkdir -p %s' % plot_dir)
hists = []
# file = ROOT.TFile('%s.root' % target)
# Process each input argument
for src in files:
#splitsrc = src.split(':')
file = ROOT.TFile(src)
if src.find("gen") >= 0:
hists.append(file.Get(label + "_tot").Clone())
else:
hists.append(file.Get(label).Clone())
file.Close()
print hists
hist = hists[0]
latex = ROOT.TLatex()
latex.SetNDC()
for i in xrange(1, hist.GetNbinsY() + 1):
bin_label = '%s: [%g,%g]' % (binned_in,
hist.GetYaxis().GetBinLowEdge(i),
hist.GetYaxis().GetBinUpEdge(i))
canv = ROOT.TCanvas('%s_%i' % (output, i), output)
if ratio_to is not None:
pads = plot.TwoPadSplit(0.50, 0.01, 0.01)
else:
pads = plot.OnePad()
slices = []
if label_pos == 1:
text = ROOT.TPaveText(0.55, 0.37, 0.9, 0.50, 'NDC')
legend = ROOT.TLegend(0.18, 0.37, 0.5, 0.50, '', 'NDC')
elif label_pos == 2:
text = ROOT.TPaveText(0.55, 0.67, 0.9, 0.80, 'NDC')
legend = ROOT.TLegend(0.18, 0.67, 0.5, 0.80, '', 'NDC')
else:
text = ROOT.TPaveText(0.55, 0.54, 0.9, 0.67, 'NDC')
legend = ROOT.TLegend(0.55, 0.67, 0.9, 0.80, '', 'NDC')
text = ROOT.TPaveText(0.55, 0.54, 0.9, 0.67, 'NDC')
legend = ROOT.TLegend(0.6, 0.54, 0.95, 0.74, '', 'NDC')
#~ if 'ID' in splitsrc[1]:
#~ legend = ROOT.TLegend(0.18, 0.67, 0.5, 0.85, '', 'NDC')
for j, src in enumerate(files):
#splitsrc = src.split(':')
htgr = hists[j].ProjectionX(
'%s_projx_%i' % (hists[j].GetName(), j), i, i)
#if len(splitsrc) >= 3:
# settings = {x.split('=')[0]: eval(x.split('=')[1]) for x in splitsrc[2].split(',')}
if draw_options[j] != None:
settings = draw_options[j]
plot.Set(htgr, **settings)
htgr.Draw('HIST LP SAME') #htgr.Draw('SAME')
legend.AddEntry(htgr)
slices.append(htgr)
latex.SetTextSize(0.06)
#~ text.AddText(args.title)
#~ text.AddText(bin_label)
#~ text.SetTextAlign(13)
#~ text.SetBorderSize(0)
#~ text.Draw()
legend.Draw()
pads[0].SetLogx(True)
axis = plot.GetAxisHist(pads[0])
axis.GetYaxis().SetTitle('Efficiency')
axis.GetXaxis().SetTitle(x_title)
axis.GetXaxis().SetRangeUser(1, 1000)
axis.SetMinimum(float(y_range[0]))
axis.SetMaximum(float(y_range[1]))
#~ pads[0].SetGrid(0, 1)
pads[0].RedrawAxis('g')
#~ plot.DrawCMSLogo(pads[0], args.title, bin_label, 0, 0.16, 0.035, 1.2, cmsTextSize=0.5)
plot.DrawTitle(pads[0], title + ' - ' + bin_label, 1)
#plot.DrawTitle(pads[0], '18.99 fb^{-1} (13 TeV)', 3)
if era == "2016":
plot.DrawTitle(pads[0], '35.9 fb^{-1} (2016, 13 TeV)', 3)
elif era == "2017":
plot.DrawTitle(pads[0], '41.5 fb^{-1} (2017, 13 TeV)', 3)
elif era == "2018":
plot.DrawTitle(pads[0], '59.7 fb^{-1} (2018, 13 TeV)', 3)
if ratio_to is not None:
pads[1].cd()
pads[1].SetLogx(True)
ratios = []
for slice in slices:
ratios.append(slice.Clone())
ratios[-1].Divide(slices[ratio_to])
ratios[0].Draw('AXIS')
plot.SetupTwoPadSplitAsRatio(pads, plot.GetAxisHist(pads[0]),
plot.GetAxisHist(pads[1]),
'Ratio to data', True,
float(ratio_y_range[0]),
float(ratio_y_range[1]))
for j, ratio in enumerate(ratios):
if j == ratio_to:
continue
ratio.Draw('HIST LP SAME') #('SAME E0')
pads[1].SetGrid(0, 1)
pads[1].RedrawAxis('g')
outname = '%s.%s.%g_%g' % (output, hist.GetYaxis().GetTitle(),
hist.GetYaxis().GetBinLowEdge(i),
hist.GetYaxis().GetBinUpEdge(i))
outname = outname.replace('(', '_')
outname = outname.replace(')', '_')
outname = outname.replace('.', '_')
canv.Print('%s/%s.png' % (plot_dir, outname))
canv.Print('%s/%s.pdf' % (plot_dir, outname))
def main():
parser = argparse.ArgumentParser()
parser.add_argument('main', help='Main input file for the scan')
parser.add_argument('--y-cut',
type=float,
default=7.,
help='Remove points with y > y-cut')
parser.add_argument('--y-max',
type=float,
default=8.,
help='y-axis maximum')
parser.add_argument('--output',
'-o',
help='output name without file extension',
default='scan')
parser.add_argument('--POI',
help='use this parameter of interest',
default='r')
parser.add_argument('--translate',
default=None,
help='json file with POI name translation')
parser.add_argument('--main-label',
default='Observed',
type=str,
help='legend label for the main scan')
parser.add_argument('--main-color',
default=1,
type=int,
help='line and marker color for main scan')
parser.add_argument(
'--others',
nargs='*',
help='add secondary scans processed as main: FILE:LABEL:COLOR')
parser.add_argument('--breakdown',
help='do quadratic error subtraction using --others')
parser.add_argument('--logo', default='CMS')
parser.add_argument('--logo-sub', default='Internal')
args = parser.parse_args()
# print '--------------------------------------'
# print args.output
# print '--------------------------------------'
fixed_name = args.POI
xaxis_name = fixed_name
label_name = fixed_name
unit = ""
if args.translate is not None:
with open(args.translate) as jsonfile:
name_translate = json.load(jsonfile)
if args.POI in name_translate:
fixed_name = name_translate[args.POI]
# yvals = [1., 3.84]
yvals = [1., 4.0]
scalePOI = 9.2
xaxis_name = "#sigma [fb]"
label_name = "#sigma"
unit = "fb"
main_scan = BuildScan(args.output, "{0}*{1}".format(scalePOI, args.POI),
[args.main], args.main_color, yvals, args.y_cut)
other_scans = []
other_scans_opts = []
if args.others is not None:
for oargs in args.others:
splitargs = oargs.split(':')
other_scans_opts.append(splitargs)
other_scans.append(
BuildScan(args.output, args.POI, [splitargs[0]],
int(splitargs[2]), yvals, args.y_cut))
canv = ROOT.TCanvas(args.output, args.output)
pads = plot.OnePad()
main_scan['graph'].SetMarkerColor(1)
main_scan['graph'].Draw('AP')
axishist = plot.GetAxisHist(pads[0])
axishist.SetMaximum(args.y_max)
axishist.GetYaxis().SetTitle("- 2 #Delta ln L")
axishist.GetXaxis().SetTitle("%s" % xaxis_name)
new_min = axishist.GetXaxis().GetXmin()
new_max = axishist.GetXaxis().GetXmax()
mins = []
maxs = []
for other in other_scans:
mins.append(other['graph'].GetX()[0])
maxs.append(other['graph'].GetX()[other['graph'].GetN() - 1])
if len(other_scans) > 0:
if min(mins) < main_scan['graph'].GetX()[0]:
new_min = min(mins) - (main_scan['graph'].GetX()[0] - new_min)
if max(maxs) > main_scan['graph'].GetX()[main_scan['graph'].GetN() -
1]:
new_max = max(maxs) + (
new_max -
main_scan['graph'].GetX()[main_scan['graph'].GetN() - 1])
axishist.GetXaxis().SetLimits(new_min, new_max)
for other in other_scans:
if args.breakdown is not None:
other['graph'].SetMarkerSize(0.4)
other['graph'].Draw('PSAME')
line = ROOT.TLine()
line.SetLineColor(16)
# line.SetLineStyle(7)
for yval in yvals:
plot.DrawHorizontalLine(pads[0], line, yval)
if (len(other_scans) == 0):
for cr in main_scan['crossings'][yval]:
if cr['valid_lo']: line.DrawLine(cr['lo'], 0, cr['lo'], yval)
if cr['valid_hi']: line.DrawLine(cr['hi'], 0, cr['hi'], yval)
main_scan['func'].Draw('same')
for other in other_scans:
if args.breakdown is not None:
other['func'].SetLineStyle(2)
other['func'].SetLineWidth(2)
other['func'].Draw('SAME')
box = ROOT.TBox(axishist.GetXaxis().GetXmin(), 0.625 * args.y_max,
axishist.GetXaxis().GetXmax(), args.y_max)
box.Draw()
pads[0].GetFrame().Draw()
pads[0].RedrawAxis()
crossings = main_scan['crossings']
val_nom = main_scan['val']
val_2sig = main_scan['val_2sig']
textfit = '%s = %.1f{}^{#plus %.1f}_{#minus %.1f} %s' % (
label_name, val_nom[0], val_nom[1], abs(val_nom[2]), unit)
pt = ROOT.TPaveText(0.59, 0.82 - len(other_scans) * 0.08, 0.95, 0.91,
'NDCNB')
pt.AddText(textfit)
if args.breakdown is None:
for i, other in enumerate(other_scans):
textfit = '#color[%s]{%s = %.3f{}^{#plus %.3f}_{#minus %.3f}}' % (
other_scans_opts[i][2], fixed_name, other['val'][0],
other['val'][1], abs(other['val'][2]))
pt.AddText(textfit)
if args.breakdown is not None:
pt.SetX1(0.50)
if len(other_scans) >= 3:
pt.SetX1(0.19)
pt.SetX2(0.88)
pt.SetY1(0.66)
pt.SetY2(0.82)
breakdown = args.breakdown.split(',')
v_hi = [val_nom[1]]
v_lo = [val_nom[2]]
for other in other_scans:
v_hi.append(other['val'][1])
v_lo.append(other['val'][2])
assert (len(v_hi) == len(breakdown))
textfit = '%s = %.2f' % (label_name, val_nom[0])
for i, br in enumerate(breakdown):
if i < (len(breakdown) - 1):
if (abs(v_hi[i + 1]) > abs(v_hi[i])):
print 'ERROR SUBTRACTION IS NEGATIVE FOR %s HI' % br
hi = 0.
else:
hi = math.sqrt(v_hi[i] * v_hi[i] -
v_hi[i + 1] * v_hi[i + 1])
if (abs(v_lo[i + 1]) > abs(v_lo[i])):
print 'ERROR SUBTRACTION IS NEGATIVE FOR %s LO' % br
lo = 0.
else:
lo = math.sqrt(v_lo[i] * v_lo[i] -
v_lo[i + 1] * v_lo[i + 1])
else:
hi = v_hi[i]
lo = v_lo[i]
textfit += '{}^{#plus %.2f}_{#minus %.2f}(%s)' % (hi, abs(lo), br)
pt.AddText(textfit)
pt.SetTextAlign(11)
pt.SetTextFont(42)
pt.Draw()
plot.DrawCMSLogo(pads[0],
args.logo,
args.logo_sub,
11,
0.045,
0.035,
1.2,
cmsTextSize=1.)
legend_l = 0.69
if len(other_scans) > 0:
legend_l = legend_l - len(other_scans) * 0.04
legend = ROOT.TLegend(0.15, legend_l, 0.45, 0.78, '', 'NBNDC')
if len(other_scans) >= 3:
legend = ROOT.TLegend(0.46, 0.83, 0.95, 0.93, '', 'NBNDC')
legend.SetNColumns(2)
legend.AddEntry(main_scan['func'], args.main_label, 'L')
for i, other in enumerate(other_scans):
legend.AddEntry(other['func'], other_scans_opts[i][1], 'L')
legend.Draw()
save_graph = main_scan['graph'].Clone()
save_graph.GetXaxis().SetTitle(
'%s = %.2f %+.2f/%+.2f' %
(label_name, val_nom[0], val_nom[2], val_nom[1]))
outfile = ROOT.TFile(args.output + '.root', 'RECREATE')
outfile.WriteTObject(save_graph)
outfile.Close()
canv.Print('.pdf')
canv.Print('.png')
canv.Print('.C')