def test_fitcontour(setup_contour):
dc = sherpa.DataContour()
dc.prepare(setup_contour.data)
mc = sherpa.ModelContour()
mc.prepare(setup_contour.data, setup_contour.g1, setup_contour.f.stat)
fc = sherpa.FitContour()
fc.prepare(dc, mc)
def test_splitcontour(self):
dc = sherpa.DataContour()
dc.levels = self.levels
dc.prepare(self.data)
mc = sherpa.ModelContour()
mc.levels = self.levels
mc.prepare(self.data, self.g1, self.f.stat)
fc = sherpa.FitContour()
fc.prepare(dc, mc)
rc = sherpa.ResidContour()
rc.prepare(self.data, self.g1, self.f.stat)
rc.levels = self.levels
sp = sherpa.SplitPlot(2,2)
def test_splitcontour(setup_contour):
dc = sherpa.DataContour()
dc.levels = setup_contour.levels
dc.prepare(setup_contour.data)
mc = sherpa.ModelContour()
mc.levels = setup_contour.levels
mc.prepare(setup_contour.data, setup_contour.g1, setup_contour.f.stat)
fc = sherpa.FitContour()
fc.prepare(dc, mc)
rc = sherpa.ResidContour()
rc.prepare(setup_contour.data, setup_contour.g1, setup_contour.f.stat)
rc.levels = setup_contour.levels
# TODO: without calling addcontour this is hust the same as test_splitplot
sp = sherpa.SplitPlot(2, 2)
def test_datacontour(setup_contour):
dc = sherpa.DataContour()
dc.prepare(setup_contour.data)
dc.levels = setup_contour.levels
def test_datacontour(self):
dc = sherpa.DataContour()
dc.prepare(self.data)
dc.levels = self.levels
