Python GaussianHF.function_nd Examples

Example #1

File: test_gaussianhf.py Project: realxnl/hyperspy

def test_function_nd(binned):
    s = Signal1D(np.empty((100, )))
    axis = s.axes_manager.signal_axes[0]
    axis.scale = 2.
    axis.offset = -30
    g1 = GaussianHF(50015.156, 23, 10)
    s.data = g1.function(axis.axis)
    s.metadata.Signal.binned = binned

    s2 = stack([s] * 2)
    g2 = GaussianHF()
    factor = axis.scale if binned else 1
    g2.estimate_parameters(s2, axis.low_value, axis.high_value, False)
    assert g2.binned == binned
    # TODO: sort out while the rtol to be so high...
    assert_allclose(g2.function_nd(axis.axis) * factor, s2.data, rtol=0.05)

Example #2

File: test_gaussianhf.py Project: woozey/hyperspy

def test_function_nd(binned):
    s = Signal1D(np.empty((100,)))
    axis = s.axes_manager.signal_axes[0]
    axis.scale = 2.
    axis.offset = -30
    g1 = GaussianHF(50015.156, 23, 10)
    s.data = g1.function(axis.axis)
    s.metadata.Signal.binned = binned

    s2 = stack([s] * 2)
    g2 = GaussianHF()
    factor = axis.scale if binned else 1
    g2.estimate_parameters(s2, axis.low_value, axis.high_value, False)
    assert g2.binned == binned
    # TODO: sort out while the rtol to be so high...
    assert_allclose(g2.function_nd(axis.axis) * factor, s2.data, rtol=0.05)