def test_inverse_distance_to_grid(method, test_data, test_grid):
r"""Test inverse distance interpolation to grid function."""
xp, yp, z = test_data
xg, yg = test_grid
extra_kw = {}
if method == 'cressman':
extra_kw['r'] = 20
extra_kw['min_neighbors'] = 1
test_file = 'cressman_r20_mn1.npz'
elif method == 'barnes':
extra_kw['r'] = 40
extra_kw['kappa'] = 100
test_file = 'barnes_r40_k100.npz'
img = inverse_distance_to_grid(xp, yp, z, xg, yg, kind=method, **extra_kw)
with get_test_data(test_file) as fobj:
truth = np.load(fobj)['img']
assert_array_almost_equal(truth, img)
def test_inverse_distance_to_grid(method, test_data, test_grid):
r"""Test inverse distance interpolation to grid function."""
xp, yp, z = test_data
xg, yg = test_grid
extra_kw = {}
if method == 'cressman':
extra_kw['r'] = 20
extra_kw['min_neighbors'] = 1
test_file = 'cressman_r20_mn1.npz'
elif method == 'barnes':
extra_kw['r'] = 40
extra_kw['kappa'] = 100
test_file = 'barnes_r40_k100.npz'
img = inverse_distance_to_grid(xp, yp, z, xg, yg, kind=method, **extra_kw)
with get_test_data(test_file) as fobj:
truth = np.load(fobj)['img']
assert_array_almost_equal(truth, img)