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