for category in pt.ecal_regions:
print "Beginning category ", category,
if "gold" in category:
print " ...skipping: gold"
continue
if "bad" in category:
print " ...skipping: bad"
continue
print
#Get runrange and time info from the the runranges file
d = pt.read_run_range(path=data_path, file=runRangeFile)
#Get variables information from the stability monitoring .tex file
d = pt.append_variables(path=data_path,
file=stabilityFile,
data=d,
category=category)
#Get variables to make plots of (data, not mc or err vars)
variables = []
timeVars = [
'Nevents', 'UnixTime', 'run_number', 'UnixTime_min', 'UnixTime_max',
'run_min', 'run_max', 'date_min', 'date_max', 'time'
]
for label in d.columns.values.tolist():
if "MC" not in label and label not in timeVars and "_err" not in label:
variables.append(label)
#Loop over the vars
for var in variables:
print "Starting plotmaking..."
for category in pt.ecal_regions:
print "Beginning category ", category,
if "gold" in category:
print " ...skipping: gold"
continue
if "bad" in category:
print " ...skipping: bad"
continue
print
#Get runrange and time info from the the runranges file
d = pt.read_run_range(path=data_path,file=runRangeFile)
#Get variables information from the stability monitoring .tex file
d = pt.append_variables(path=data_path,file=stabilityFile,data=d,category=category)
#Get variables to make plots of (data, not mc or err vars)
variables = []
timeVars = ['Nevents', 'UnixTime', 'run_number', 'UnixTime_min', 'UnixTime_max', 'run_min', 'run_max', 'date_min', 'date_max', 'time']
for label in d.columns.values.tolist():
if "MC" not in label and label not in timeVars and "_err" not in label:
variables.append(label)
#Loop over the vars
for var in variables:
#Get associated monte carlo info, or a placeholder
varmc = var.replace("data","MC")
if 'MC' not in varmc:
print "[WARNING] MC counterpart not found for ", var
