parser.add_argument('cfg', help='Configuration python file')
parser.add_argument('files',
metavar='file',
nargs='+',
help='Histogram files')
args = parser.parse_args(args[1:])
meta_info = None
with open(args.meta) as meta_file:
meta_info = json.load(meta_file)
log.info("Importing configuration")
cfg = __import__(args.cfg.replace('.py', ''))
log.info("Building views")
data_views = data_views.data_views(args.files, cfg.data_sample)
# We just need to figure out the directory structure from any old file
layout_filename = data_views.values()[0]['subsamples'].values(
)[0]['filename']
log.info("Getting file layout from %s", layout_filename)
keys_to_plot = []
with io.open(layout_filename, 'r') as layout_file:
for path, subdirs, histos in layout_file.walk(class_pattern='TH1F'):
# Skip folders w/o histograms
if not histos:
continue
for histo in histos:
key = [
meta_info = None
with open(args.meta) as meta_file:
meta_info = json.load(meta_file)
files = []
for file_glob in args.files:
log.debug("Expanding file: %s", file_glob)
files.extend(glob.glob(file_glob))
log.info("Got %i data files", len(files))
log.info("Importing configuration")
cfg = __import__(args.cfg.replace('.py', ''))
log.info("Building views")
mu_fr_views = data_views(files, cfg.data_sample)
# Get view of double muon data
data = mu_fr_views[cfg.data_sample]['view']
# Get the different regions where we measure the stuff
log.info("Getting regions from cfg")
regions = cfg.make_regions(data)
log.info("Loading workspace")
fit_models_file = io.open(args.fit_models, 'READ')
# fit_modles is a RooWorkspace
fit_models = fit_models_file.fit_models
x = fit_models.var('x')
cut = fit_models.cat('cut')
parser = argparse.ArgumentParser()
parser.add_argument('meta', help='File with meta information')
parser.add_argument('cfg', help='Configuration python file')
parser.add_argument('files', metavar='file', nargs='+',
help = 'Histogram files')
args = parser.parse_args(args[1:])
meta_info = None
with open(args.meta) as meta_file:
meta_info = json.load(meta_file)
log.info("Importing configuration")
cfg = __import__(args.cfg.replace('.py', ''))
log.info("Building views")
data_views = data_views.data_views( args.files, cfg.data_sample)
# We just need to figure out the directory structure from any old file
layout_filename = data_views.values()[0]['subsamples'].values()[0]['filename']
log.info("Getting file layout from %s", layout_filename)
keys_to_plot = []
with io.open(layout_filename, 'r') as layout_file:
for path, subdirs, histos in layout_file.walk(class_pattern='TH1F'):
# Skip folders w/o histograms
if not histos:
continue
for histo in histos:
key = [
x for x in path.split('/')
meta_info = None
with open(args.meta) as meta_file:
meta_info = json.load(meta_file)
files = []
for file_glob in args.files:
log.debug("Expanding file: %s", file_glob)
files.extend(glob.glob(file_glob))
log.info("Got %i data files", len(files))
log.info("Importing configuration")
cfg = __import__(args.cfg.replace('.py', ''))
log.info("Building views")
mu_fr_views = data_views(files, cfg.data_sample)
# Get view of double muon data
data = mu_fr_views[cfg.data_sample]['view']
# Get the different regions where we measure the stuff
log.info("Getting regions from cfg")
regions = cfg.make_regions(data)
log.info("Loading workspace")
fit_models_file = io.open(args.fit_models, 'READ')
# fit_modles is a RooWorkspace
fit_models = fit_models_file.fit_models
x = fit_models.var('x')
cut = fit_models.cat('cut')
