discretize.operators.InnerProducts.nodes#
- property InnerProducts.nodes#
Return gridded node locations.
This property returns a numpy array of shape (n_nodes, dim) containing gridded node locations for all nodes in the mesh. The nodes are ordered along the x, then y, then z directions.
- Returns:
- (
n_nodes
,dim
)numpy.ndarray
of
float
Gridded node locations
- (
Examples
The following is a 1D example.
>>> from discretize import TensorMesh >>> hx = np.ones(5) >>> mesh_1D = TensorMesh([hx], '0') >>> mesh_1D.nodes array([0., 1., 2., 3., 4., 5.])
The following is a 3D example.
>>> hx, hy, hz = np.ones(2), 2*np.ones(2), 3*np.ones(2) >>> mesh_3D = TensorMesh([hx, hy, hz], '000') >>> mesh_3D.nodes array([[0., 0., 0.], [1., 0., 0.], [2., 0., 0.], [0., 2., 0.], [1., 2., 0.], [2., 2., 0.], [0., 4., 0.], [1., 4., 0.], [2., 4., 0.], [0., 0., 3.], [1., 0., 3.], [2., 0., 3.], [0., 2., 3.], [1., 2., 3.], [2., 2., 3.], [0., 4., 3.], [1., 4., 3.], [2., 4., 3.], [0., 0., 6.], [1., 0., 6.], [2., 0., 6.], [0., 2., 6.], [1., 2., 6.], [2., 2., 6.], [0., 4., 6.], [1., 4., 6.], [2., 4., 6.]])