def test_visualisation_b():
s1 = np.array([[0, 0], [0, 1], [2, 1], [0, 1], [0, 0]], dtype=np.double)
s2 = np.array([[0, 0], [2, 1], [0, 1], [0, .5], [0, 0]], dtype=np.double)
d1p, paths = dtw_ndim.warping_paths(s1, s2)
path = dtw.best_path(paths)
fig, ax = dtwvis.plot_warpingpaths(s2, s1, paths, path=path)
fig.show()
def test_visualisation_b():
with util_numpy.test_uses_numpy() as np:
s1 = np.array([[0, 0], [0, 1], [2, 1], [0, 1], [0, 0]], dtype=np.double)
s2 = np.array([[0, 0], [2, 1], [0, 1], [0, .5], [0, 0]], dtype=np.double)
d1p, paths = dtw_ndim.warping_paths(s1, s2)
path = dtw.best_path(paths)
if not dtwvis.test_without_visualization():
fig, ax = dtwndimvis.plot_warpingpaths(s2, s1, paths, path=path)
fig.show()