Пример #1
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def test_fitplot(setup_plot):
    dp = sherpa.DataPlot()
    dp.prepare(setup_plot.data, setup_plot.f.stat)

    mp = sherpa.ModelPlot()
    mp.prepare(setup_plot.data, setup_plot.g1, setup_plot.f.stat)

    fp = sherpa.FitPlot()
    fp.prepare(dp, mp)
Пример #2
0
    def test_splitplot(self):
        dp = sherpa.DataPlot()
        dp.prepare(self.data, self.f.stat)

        mp = sherpa.ModelPlot()
        mp.prepare(self.data, self.g1, self.f.stat)

        rp = sherpa.ResidPlot()
        rp.prepare(self.data, self.g1, self.f.stat)

        fp = sherpa.FitPlot()
        fp.prepare(dp,mp)

        sp = sherpa.SplitPlot(2,2)
Пример #3
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def test_splitplot(setup_plot):
    dp = sherpa.DataPlot()
    dp.prepare(setup_plot.data, setup_plot.f.stat)

    mp = sherpa.ModelPlot()
    mp.prepare(setup_plot.data, setup_plot.g1, setup_plot.f.stat)

    rp = sherpa.ResidPlot()
    rp.prepare(setup_plot.data, setup_plot.g1, setup_plot.f.stat)

    fp = sherpa.FitPlot()
    fp.prepare(dp, mp)

    # TODO: without calling addplot this is hust the same as test_splitcontour
    sp = sherpa.SplitPlot(2, 2)
Пример #4
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def test_dataplot(setup_plot):
    dp = sherpa.DataPlot()
    dp.prepare(setup_plot.data, setup_plot.f.stat)
Пример #5
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 def test_dataplot(self):
     dp = sherpa.DataPlot()
     dp.prepare(self.data, self.f.stat)