def setup_plot():
data = sherpa.Data1D('testdata', _datax, _datay)
g1 = sherpa.Gauss1D('g1')
f = sherpa.Fit(data, g1)
return SetupPlot(data, g1, f)
def setUp(self):
self.data = sherpa.Data1D('testdata', _datax, _datay)
self.g1 = sherpa.Gauss1D('g1')
self.f = sherpa.Fit(self.data, self.g1)
self.f.fit()
self.ip = sherpa.IntervalProjection()
self.iu = sherpa.IntervalUncertainty()
self.rp = sherpa.RegionProjection()
self.ru = sherpa.RegionUncertainty()
def setup_confidence():
"""Note that this performs a fit, so can be slow"""
data = sherpa.Data1D('testdata', _datax, _datay)
g1 = sherpa.Gauss1D('g1')
f = sherpa.Fit(data, g1)
f.fit()
ip = sherpa.IntervalProjection()
iu = sherpa.IntervalUncertainty()
rp = sherpa.RegionProjection()
ru = sherpa.RegionUncertainty()
return SetupConfidence(data, g1, f, ip, iu, rp, ru)
def setUp(self):
self.data = sherpa.Data1D('testdata',_datax,_datay)
self.g1 = sherpa.Gauss1D('g1')
self.f = sherpa.Fit(self.data, self.g1)
