Function test_sine_plus_noise

lib/matplotlib/tests/test_simplification.py:218–233

()

def test_sine_plus_noise():
    np.random.seed(0)
    x = (np.sin(np.linspace(0, np.pi * 2.0, 50000)) +
         np.random.uniform(size=50000) * 0.01)

    fig, ax = plt.subplots()
    p1 = ax.plot(x, solid_joinstyle='round', linewidth=2.0)

    # Ensure that the path's transform takes the new axes limits into account.
    fig.canvas.draw()
    path = p1[0].get_path()
    transform = p1[0].get_transform()
    path = transform.transform_path(path)
    simplified = path.cleaned(simplify=True)

    assert simplified.vertices.size == 25240


@image_comparison(['simplify_curve'], remove_text=True, style='_classic_test',