How to use the pydmd.fbdmd.FbDMD function in PyDMD
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mathLab / PyDMD / tests / test_fbdmd.py View on Github 
def test_modes_shape(self):
dmd = FbDMD(svd_rank=-1)
dmd.fit(X=sample_data)
assert dmd.modes.shape[1] == 2def test_plot_eigs_2(self):
dmd = FbDMD(svd_rank=-1)
dmd.fit(X=sample_data)
dmd.plot_eigs(show_axes=False, show_unit_circle=False)
plt.close()def test_dynamics(self):
dmd = FbDMD(svd_rank=-1)
dmd.fit(X=sample_data)
assert dmd.dynamics.shape == (2, 100)def test_reconstructed_data(self):
dmd = FbDMD(exact=True, svd_rank=-1)
dmd.fit(X=sample_data)
dmd_data = dmd.reconstructed_data
dmd_data_correct = np.load('tests/test_datasets/fbdmd_data.npy')
assert np.allclose(dmd_data, dmd_data_correct)def test_eigs_2(self):
dmd = FbDMD(svd_rank=1)
dmd.fit(X=sample_data)
assert len(dmd.eigs) == 1def test_eigs_modulus_2(self):
dmd = FbDMD(svd_rank=-1, exact=True)
dmd.fit(X=sample_data)
np.testing.assert_almost_equal(
np.linalg.norm(dmd.eigs[1]), 1., decimal=6)def test_truncation_shape(self):
dmd = FbDMD(svd_rank=1)
dmd.fit(X=sample_data)
assert dmd.modes.shape[1] == 1def test_eigs_1(self):
dmd = FbDMD(svd_rank=-1)
dmd.fit(X=sample_data)
assert len(dmd.eigs) == 2
