Python BaseSignal.estimate_poissonian_noise_variance 예제들

예제 #1

파일: test_folding.py 프로젝트: k8macarthur/hyperspy

class TestSignalVarianceFolding:
    def setUp(self):
        self.s = BaseSignal(np.zeros((2, 3, 4, 5)))
        self.s.axes_manager.set_signal_dimension(2)
        self.s.estimate_poissonian_noise_variance()

    def test_unfold_navigation(self):
        s = self.s.deepcopy()
        s.unfold_navigation_space()
        meta_am = s.metadata.Signal.Noise_properties.variance.axes_manager
        nt.assert_equal(meta_am.navigation_shape, (self.s.axes_manager.navigation_size,))

    def test_unfold_signal(self):
        s = self.s.deepcopy()
        s.unfold_signal_space()
        meta_am = s.metadata.Signal.Noise_properties.variance.axes_manager
        nt.assert_equal(meta_am.signal_shape, (self.s.axes_manager.signal_size,))

예제 #2

파일: test_folding.py 프로젝트: venkatacharan1989/hyperspy

class TestSignalVarianceFolding:
    def setup_method(self, method):
        self.s = BaseSignal(np.zeros((2, 3, 4, 5)))
        self.s = self.s.transpose(signal_axes=2)
        self.s.estimate_poissonian_noise_variance()

    def test_unfold_navigation(self):
        s = self.s.deepcopy()
        s.unfold_navigation_space()
        meta_am = s.metadata.Signal.Noise_properties.variance.axes_manager
        assert (meta_am.navigation_shape == (
            self.s.axes_manager.navigation_size, ))

    def test_unfold_signal(self):
        s = self.s.deepcopy()
        s.unfold_signal_space()
        meta_am = s.metadata.Signal.Noise_properties.variance.axes_manager
        assert (meta_am.signal_shape == (self.s.axes_manager.signal_size, ))

예제 #3

파일: test_folding.py 프로젝트: bm424/hyperspy

class TestSignalVarianceFolding:
    def setUp(self):
        self.s = BaseSignal(np.zeros((2, 3, 4, 5)))
        self.s.axes_manager.set_signal_dimension(2)
        self.s.estimate_poissonian_noise_variance()

    def test_unfold_navigation(self):
        s = self.s.deepcopy()
        s.unfold_navigation_space()
        meta_am = s.metadata.Signal.Noise_properties.variance.axes_manager
        nt.assert_equal(meta_am.navigation_shape,
                        (self.s.axes_manager.navigation_size, ))

    def test_unfold_signal(self):
        s = self.s.deepcopy()
        s.unfold_signal_space()
        meta_am = s.metadata.Signal.Noise_properties.variance.axes_manager
        nt.assert_equal(meta_am.signal_shape,
                        (self.s.axes_manager.signal_size, ))

예제 #4

파일: test_folding.py 프로젝트: woozey/hyperspy

class TestSignalVarianceFolding:

    def setup_method(self, method):
        self.s = BaseSignal(np.zeros((2, 3, 4, 5)))
        self.s = self.s.transpose(signal_axes=2)
        self.s.estimate_poissonian_noise_variance()

    def test_unfold_navigation(self):
        s = self.s.deepcopy()
        s.unfold_navigation_space()
        meta_am = s.metadata.Signal.Noise_properties.variance.axes_manager
        assert (
            meta_am.navigation_shape == (self.s.axes_manager.navigation_size,))

    def test_unfold_signal(self):
        s = self.s.deepcopy()
        s.unfold_signal_space()
        meta_am = s.metadata.Signal.Noise_properties.variance.axes_manager
        assert (
            meta_am.signal_shape == (self.s.axes_manager.signal_size,))