def __init__(self,m_cfg_parser):
"""Initialize the inherited class and pass the config parser object around"""
DataMCPlotter.__init__(self,m_cfg_parser)
# initialize some variables that the user can modify
self.p_cfg_name = 'configuration'
self._leading = False
self.alpha = 0.5
self.hist_type = 'stepfilled'
self.leg_labels = {'ttbar_inclu':r't$\bar{\text{t}}$',\
'TTS_M1000':r'T$\bar{\text{T}}$S (1000)'}
self.colors = '' # scatter / errorbar plots (str or [str1,str2])
self.format = 'png'
self.dpi = 300
self.y_label = '' # efficiency: r'$\epsilon$'
self.x_label = ''
self.y_err = False
self.x_err = False
self.maxpred = 0. # maximum prediction to scale the y-axis
self.capsize = 0
self.plt_cmap = '' # colormap for histogram
self.lumi = info.LUMI() # define luminosity (user can set different one)
self.plt_marker = 'o'
self.plt_size = 20
self.edgecolor = 'none'
self.h_rebin = 50 # for ROOT histograms, rebin using this parameter
self.obj2ttree = info.obj2ttree()
self.key2attr = info.key2attr()
self.add_labels = {}
def __init__(self,cfg_filename):
"""
Init
@param cfg_filename Filename of the config file ("PyUser.ini")
"""
self.p_settings = info.getConfigSettings(cfg_filename)
self.p_cfg_name = 'configuration'
self.ops = config.logicOperators()
self.key2attr = info.key2attr()
self.obj2ttree = info.obj2ttree()
self.truthObj = info.truthObject()
self.nonGeVvars = info.nonGeVvariables() # variables that aren't in GeV (for scaling plots)
self.GeV = 1000.