g_check.SetPoint(g_check_i, cboxes.index(pbox) + 0.5, float(i) + 0.5)
g_check_i += 1
imp = pdata[p][POI]
g_impacts_hi.SetPointError(i, 0, imp[2] - imp[1], 0.5, 0.5)
g_impacts_lo.SetPointError(i, imp[1] - imp[0], 0, 0.5, 0.5)
max_impact = max(
max_impact, abs(imp[1] - imp[0]), abs(imp[2] - imp[1]))
col = colors.get(tp, 2)
if args.color_groups is not None and len(pdata[p]['groups']) == 1:
col = color_groups.get(pdata[p]['groups'][0], 1)
h_pulls.GetYaxis().SetBinLabel(
i + 1, ('#color[%i]{%s}'% (col, Translate(pdata[p]['name'], translate))))
# Style and draw the pulls histo
if externalPullDef:
plot.Set(h_pulls.GetXaxis(), TitleSize=0.04, LabelSize=0.03, Title=CP.returnTitle(args.pullDef))
else:
plot.Set(h_pulls.GetXaxis(), TitleSize=0.04, LabelSize=0.03, Title='(#hat{#theta}-#theta_{0})/#Delta#theta')
plot.Set(h_pulls.GetYaxis(), LabelSize=0.021, TickLength=0.0)
h_pulls.GetYaxis().LabelsOption('v')
h_pulls.Draw()
for i in redo_boxes:
newbox = boxes[i].Clone()
newbox.Clear()
newbox.SetY1(newbox.GetY1()+0.005)
newbox.SetY2(newbox.GetY2()-0.005)
newbox.SetX1(ROOT.gStyle.GetPadLeftMargin()+0.001)
newbox.SetX2(0.7-0.001)
newbox.Draw()
col = colors.get(tp, 2)
if args.color_groups is not None and len(pdata[p]['groups']) >= 1:
for p_grp in pdata[p]['groups']:
if p_grp in color_groups:
col = color_groups[p_grp]
break
h_pulls.GetYaxis().SetBinLabel(
i + 1,
('#color[%i]{%s}' % (col, Translate(pdata[p]['name'], translate))))
# Style and draw the pulls histo
if externalPullDef:
plot.Set(h_pulls.GetXaxis(),
TitleSize=0.04,
LabelSize=0.03,
Title=CP.returnTitle(args.pullDef))
else:
plot.Set(h_pulls.GetXaxis(),
TitleSize=0.04,
LabelSize=0.03,
Title='(#hat{#theta}-#theta_{0})/#Delta#theta')
plot.Set(h_pulls.GetYaxis(), LabelSize=args.label_size, TickLength=0.0)
h_pulls.GetYaxis().LabelsOption('v')
h_pulls.Draw()
for i in redo_boxes:
newbox = boxes[i].Clone()
newbox.Clear()
newbox.SetY1(newbox.GetY1() + 0.005)
newbox.SetY2(newbox.GetY2() - 0.005)
