test_interpolators.py 文件源码

def test_linear_interpolator_2d():
    random_data = np.random.random((64, 64))
    # evenly spaced bins
    fv = dict((ax, v) for ax, v in zip("xyz",
               np.mgrid[0.0:1.0:64j, 0.0:1.0:64j]))
    bfi = lin.BilinearFieldInterpolator(random_data,
            (0.0, 1.0, 0.0, 1.0), "xy", True)
    assert_array_equal(bfi(fv), random_data)

    # randomly spaced bins
    size = 64
    bins = np.linspace(0.0, 1.0, size)
    shifts = dict((ax, (1. / size) * np.random.random(size) - (0.5 / size)) \
                  for ax in "xy")
    fv["x"] += shifts["x"][:, np.newaxis]
    fv["y"] += shifts["y"]
    bfi = lin.BilinearFieldInterpolator(random_data,
            (bins + shifts["x"], bins + shifts["y"]), "xy", True)
    assert_array_almost_equal(bfi(fv), random_data, 15)