def __init__(self,d1,d2,dataType=DataType.UNBINNED):
if dataType == DataType.BINNED1D:
#t print 'WARNING: Using test on binned distributions'
first = d1 #getFrom1DHistogram( d1 )
second= d2 #getFrom1DHistogram( d2 )
elif dataType == DataType.UNBINNED:
first = getFromTree( d1 )
second = getFromTree( d2 )
else:
raise WringDataType()
StatTest.__init__(self,first,second,dataType)
if dataType == DataType.UNBINNED:
self.gof=makeROOTgof(self.dataset1,self.dataset2)
def __init__(self, d1, d2, dataType=DataType.UNBINNED):
if dataType == DataType.BINNED1D:
print 'WARNING: Using test on binned distributions'
first = d1 #getFrom1DHistogram( d1 )
second = d2 #getFrom1DHistogram( d2 )
elif dataType == DataType.UNBINNED:
first = getFromTree(d1)
second = getFromTree(d2)
else:
raise WringDataType()
StatTest.__init__(self, first, second, dataType)
if dataType == DataType.UNBINNED:
self.gof = makeROOTgof(self.dataset1, self.dataset2)
def __init__(self,h1,h2,dataType=DataType.UNBINNED):
if dataType == DataType.BINNED1D:
first = getFrom1DHistogram( h1 )
second= getFrom1DHistogram( h2 )
elif dataType == DataType.UNBINNED:
first = getFromTree( h1 )
second = getFromTree( h2 )
#print first[0:10]
#print second[0:10]
else:
raise WrongDataType()
StatTest.__init__(self,first,second,dataType)
from Utils import makeROOTgof
self.gof=makeROOTgof(self.dataset1,self.dataset2)
def __init__(self, h1, h2, dataType=DataType.UNBINNED):
if dataType == DataType.BINNED1D:
first = getFrom1DHistogram(h1)
second = getFrom1DHistogram(h2)
elif dataType == DataType.UNBINNED:
first = getFromTree(h1)
second = getFromTree(h2)
#print first[0:10]
#print second[0:10]
else:
raise WrongDataType()
StatTest.__init__(self, first, second, dataType)
from Utils import makeROOTgof
self.gof = makeROOTgof(self.dataset1, self.dataset2)