in_files = glob.glob(os.path.join(base_path_in, '*'))
merge(in_files,
__file__,
jobs, ('sample', 'subJob'),
argParser,
istest=args.isTest)
if args.inData:
os.system("hadd -f " + base_path_in + "/events.root " + base_path_in +
'/*/events.root')
samples_to_plot = ['Data'] if args.inData else sample_manager.getOutputs()
for sample_output in samples_to_plot:
if args.isTest and sample_output != 'DY': continue
if args.inData:
output_dir = makePathTimeStamped(base_path_out)
in_file = base_path_in + '/events.root'
else:
output_dir = makePathTimeStamped(base_path_out + '/' +
sample_output)
in_file = base_path_in + '/' + sample_output + '/events.root'
fakerates = createFakeRatesWithJetBins('tauttl', None, None, in_file)
for fr in fakerates.bin_collection:
ttl = fakerates.getFakeRate(fr).getEfficiency()
p = Plot(signal_hist=ttl, name='ttl_' + fr, year=int(args.year))
p.draw2D(output_dir=output_dir, names=['ttl_' + fr])
if args.separateTriggers == 'cumulative':
out_dir = os.getcwd(
) + '/data/Results/' + args.separateTriggers + '/' + f_name + '/' + timestamp
p = Plot(eff_list,
trigger_list,
trigger_cat_name + '_' + v,
eff_list[0].GetXaxis().GetTitle(),
eff_list[0].GetYaxis().GetTitle(),
extra_text=extra_text)
names = [
trigger_cat_name + '_' + v + '_' + k
for k in trigger_list
]
if '2D' in v:
p.draw2D(output_dir=out_dir + '/' + sample,
names=names)
else:
p.drawHist(output_dir=out_dir + '/' + sample)
else:
to_merge = [eff_list[c] for c in CATEGORIES]
eff_lists['all'] = mergeEfficiencies(to_merge, 'all')
for v in eff_lists['all'].keys():
eff_list = [eff.getEfficiency() for eff in eff_lists['all'][v]]
out_dir = os.getcwd() + '/data/Results/' + str(
args.separateTriggers) + '/' + f_name + '/' + timestamp
p = Plot(eff_list,
trigger_list,
v,
eff_list[0].GetXaxis().GetTitle(),
eff_list[0].GetYaxis().GetTitle(),