def plotsamples(datasample, expsamples, tag=""):
"""Test Sample.gethist method and plot data/MC comparison."""
LOG.header("plotsamples")
# SETTING
outdir = ensuredir("plots")
fname = "%s/testSamples_$VAR%s.png" % (outdir, tag)
# MAKE 1D HISTS
for selection, weight in selections:
histdict = {}
for sample in [datasample] + expsamples:
hists = sample.gethist(variables, selection)
histdict[sample] = hists
print ">>> %r: %s" % (sample.name,
[repr(h.GetName()) for h in hists])
# PLOT
for i, variable in enumerate(variables):
#LOG.header(variable)
datahist = histdict[datasample][i]
exphists = [histdict[s][i] for s in expsamples]
plot = Stack(variable, datahist, exphists)
plot.draw(ratio=True)
plot.drawlegend(position=position)
plot.drawtext(text)
plot.saveas(fname)
plot.close()
def plotstack(xname,xtitle,datahist,exphists,ratio=False,logy=False):
"""Plot Stack objects for a given data hisogram and list of MC histograms."""
# SETTING
outdir = ensuredir("plots")
fname = "%s/testStack_%s"%(outdir,xname)
if ratio:
fname += "_ratio"
if logy:
fname += "_logy"
rrange = 0.5
text = "#mu#tau_{h} baseline"
grid = True and False
position = 'topright' if logy else 'right'
# PLOT
LOG.header(fname)
plot = Stack(xtitle,datahist,exphists)
plot.draw(ratio=ratio,logy=logy,ratiorange=rrange,grid=grid)
plot.drawlegend(position=position)
plot.drawtext(text)
plot.saveas(fname+".png")
plot.saveas(fname+".pdf")
#plot.saveas(fname+".C")
#plot.saveas(fname+".png",fname+".C")
#plot.saveas(fname,ext=['png','pdf'])
plot.close()
print
def stackinputs(file, variable, processes, **kwargs):
"""Stack histograms from ROOT file.
file: TFile or TDirectory object
variable: Variables object
processes: list of strings (name of processes)
e.g.
stackinputs(file,variable,['ZTT','TTT','W','QCD','data_obs'])
"""
text = kwargs.get('text', None)
tag = kwargs.get('tag', "")
groups = kwargs.get('group', []) # e.g. [(['^TT','ST'],'Top')]
dname = kwargs.get('dname', None) # directory ('bin') name
pname = kwargs.get('save', "stack$TAG.png") # save as image file
wname = kwargs.get('write', "stack$TAG") # write to file
style = kwargs.get('style', False) # write style to file
exphists = []
datahist = None
tdir = ensureTDirectory(file, dname, cd=True) if dname else file
if style:
gStyle.Write(
'style',
TH1.kOverwrite) # write current TStyle object to reproduce plots
for process in processes:
hname = process
hist = gethist(tdir, process, fatal=False, warn=False)
if not hist:
LOG.warning(
"stackinputs: Could not find %r in %s. Skipping stacked plot..."
% (process, tdir.GetPath()))
return
hist.SetDirectory(0)
hist.SetLineColor(kBlack)
hist.SetFillStyle(1001) # assume fill color is already correct
if process == 'data_obs':
datahist = hist
else:
exphists.append(hist)
for group in groups:
grouphists(exphists, *group, replace=True, regex=True, verb=0)
stack = Stack(variable, datahist, exphists)
stack.draw()
stack.drawlegend(ncols=2, twidth=0.9)
if text:
stack.drawtext(text)
if pname:
pname = repkey(pname, TAG=tag)
stack.saveas(pname, ext=['png'])
if wname:
wname = repkey(wname, TAG=tag)
stack.canvas.Write(wname, TH1.kOverwrite)
stack.close()
def drawpostfit(fname, bin, procs, **kwargs):
"""Plot pre- and post-fit plots PostFitShapesFromWorkspace."""
print '>>>\n>>> drawpostfit("%s","%s")' % (fname, bin)
outdir = kwargs.get('outdir', "")
pname = kwargs.get('pname',
"$FIT.png") # replace $FIT = 'prefit', 'postfit'
ratio = kwargs.get('ratio', True)
tag = kwargs.get('tag', "")
xtitle = kwargs.get('xtitle', None)
title = kwargs.get('title', None)
text = kwargs.get('text', "")
tsize = kwargs.get('tsize', 0.050)
xmin = kwargs.get('xmin', None)
xmax = kwargs.get('xmax', None)
ymargin = kwargs.get('ymargin', 1.22)
groups = kwargs.get('group', [])
position = kwargs.get('pos', None) # legend position
ncol = kwargs.get('ncol', None) # legend columns
square = kwargs.get('square', False)
era = kwargs.get('era', "")
exts = kwargs.get('exts', ['pdf', 'png']) # figure extension
ymax = None
fits = ['prefit', 'postfit']
file = ensureTFile(fname, 'READ')
if outdir:
ensuredir(outdir)
if era:
setera(era)
# DRAW PRE-/POST-FIT
for fit in fits:
fitdirname = "%s_%s" % (bin, fit)
dir = file.Get(fitdirname)
if not dir:
LOG.warning('drawpostfit: Did not find dir "%s"' % (fitdirname),
pre=" ")
return
obshist = None
exphists = []
# GET HIST
for proc in procs: #reversed(samples):
hname = "%s/%s" % (fitdirname, proc)
hist = file.Get(hname)
if not hist:
LOG.warning(
'drawpostfit: Could not find "%s" template in directory "%s_%s"'
% (proc, bin, fit),
pre=" ")
continue
if 'data_obs' in proc:
obshist = hist
hist.SetLineColor(1)
ymax = hist.GetMaximum() * ymargin
else:
exphists.append(hist)
if proc in STYLE.sample_titles:
hist.SetTitle(STYLE.sample_titles[proc])
if proc in STYLE.sample_colors:
hist.SetFillStyle(1001)
hist.SetFillColor(STYLE.sample_colors[proc])
if len(exphists) == 0:
LOG.warning(
'drawpostfit: Could not find any templates in directory "%s"' %
(bin),
pre=" ")
continue
if not obshist:
LOG.warning(
'drawpostfit: Could not find a data template in directory "%s"'
% (bin),
pre=" ")
continue
for groupargs in groups:
grouphists(exphists, *groupargs, replace=True)
# PLOT
xtitle = (xtitle or exphists[0].GetXaxis().GetTitle()
) #.replace('[GeV]','(GeV)')
xmax = xmax or exphists[0].GetXaxis().GetXmax()
xmin = xmin or exphists[0].GetXaxis().GetXmin()
errtitle = "Pre-fit stat. + syst. unc." if fit == 'prefit' else "Post-fit unc."
pname_ = repkey(pname, FIT=fit, ERA=era)
rmin, rmax = (0.28, 1.52)
plot = Stack(xtitle, obshist, exphists)
plot.draw(xmin=xmin,
xmax=xmax,
ymax=ymax,
square=square,
ratio=ratio,
rmin=rmin,
rmax=rmax,
staterror=True,
errtitle=errtitle)
plot.drawlegend(position, tsize=tsize, text=text, ncol=ncol)
if title:
plot.drawtext(title, bold=False)
plot.saveas(pname_, outdir=outdir, ext=exts)
plot.close()
file.Close()