def __init__(self, triggername, triggerefficiency):
"""
Constructor
"""
SinglePanelPlot.__init__(self)
self.__triggername = triggername
self.__triggereff = triggerefficiency
def __init__(self):
"""
Constructor
"""
SinglePanelPlot.__init__(self)
self.__frame = None
self._comparisonContainer = None # be specified in inheriting classes
self.__legendAttributes = None
self.__padattributes = {"logx":False, "logy":False, "gridx":False, "gridy":False}
def __init__(self, minbiasspectrum, triggeredSpectrum):
'''
Constructor
'''
SinglePanelPlot.__init__(self)
self.__minbiasSpectrum = GraphicsObject(minbiasspectrum, Style(kRed,25))
triggeredSpectrumMaker = TriggeredSpectrumScaler(minbiasspectrum, triggeredSpectrum)
self.__triggeredSpectrum = GraphicsObject(triggeredSpectrumMaker.GetScaledTriggeredSpectrum(), Style(kBlue, 24))
combinedSpectrumMaker = SpectrumCombiner(minbiasspectrum, self.__triggeredSpectrum.GetData())
self.__combinedSpectrum = GraphicsObject(combinedSpectrumMaker.MakeCombinedSpectrum(50.), Style(kBlack, 20))
self.__labeltext = None
def __init__(self, weights):
"""
Constructor
"""
SinglePanelPlot.__init__(self)
self.__points = weights
def __init__(self):
SinglePanelPlot.__init__(self)
self.__data = self.TriggerDataContainer()
def __init__(self, rawspectrum, isMinBias):
"""
Constructor
"""
SinglePanelPlot.__init__(self)
self.__rawspectrum = self.RawData(rawspectrum, isMinBias)
def __init__(self, minbiasspectrum):
SinglePanelPlot.__init__(self)
self.__integralChecker = IntegralRangeChecker(minbiasspectrum)
def __init__(self):
SinglePanelPlot.__init__(self)
self.__data = []
def __init__(self):
SinglePanelPlot.__init__(self)
self.__ptreachdata = {}