def setup_contour(make_data_path):
data = sherpa.read_data(make_data_path('gauss2d.dat'),
ncols=3, sep='\t', dstype=sherpa.Data2D)
g1 = sherpa.Gauss2D('g1')
g1.ellip.freeze()
g1.theta.freeze()
f = sherpa.Fit(data, g1)
levels = numpy.array([0.5, 2, 5, 10, 20])
return SetupContour(data, g1, f, levels)
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)
