landlab.graph.voronoi package#

Subpackages#

Submodules#

landlab.graph.voronoi.dual_voronoi module#

class DualVoronoiGraph(node_y_and_x, max_node_spacing=None, sort=False, perimeter_links=None)[source]#

Bases: DualGraph, DelaunayGraph

Create a voronoi grid.

Parameters

nodes (tuple of array_like) – Coordinates of every node. First y, then x.

Examples

>>> from landlab.graph import DualVoronoiGraph
>>> node_x = [0, 1, 2, 3,
...           0.2, 1.2, 2.2, 3.2,
...           0.4, 1.4, 2.4, 3.4]
>>> node_y = [0, 0, 0, 0,
...           1, 1, 1, 1,
...           2, 2, 2, 2]
>>> graph = DualVoronoiGraph((node_y, node_x), sort=True)
>>> graph.x_of_corner
array([ 0.5,  1.5,  2.5,  0.7,  1.7,  2.7,  0.7,  1.7,  2.7,  0.9,  1.9,
        2.9])
>>> graph.y_of_corner 
array([ 0.42,  0.42,  0.42,  0.58,  0.58,  0.58,  1.42,  1.42,  1.42,
        1.58,  1.58,  1.58])
>>> graph.corners_at_face 
array([[ 0,  3], [ 3,  1], [ 1,  4], [ 4,  2], [ 2,  5],
       [ 3,  6], [ 4,  7], [ 5,  8],
       [ 6,  9], [ 9,  7], [ 7, 10], [10,  8], [ 8, 11]])
>>> graph.faces_at_corner 
array([[ 0, -1, -1], [ 2,  1, -1], [ 4,  3, -1],
       [ 5,  0,  1], [ 6,  2,  3], [ 7,  4, -1],
       [ 8,  5, -1], [10,  9,  6], [12, 11,  7],
       [ 8,  9, -1], [10, 11, -1], [12, -1, -1]])
>>> graph.node_at_cell
array([5, 6])
__init__(node_y_and_x, max_node_spacing=None, sort=False, perimeter_links=None)[source]#

Create a voronoi grid.

Parameters

nodes (tuple of array_like) – Coordinates of every node. First y, then x.

Examples

>>> from landlab.graph import DualVoronoiGraph
>>> node_x = [0, 1, 2, 3,
...           0.2, 1.2, 2.2, 3.2,
...           0.4, 1.4, 2.4, 3.4]
>>> node_y = [0, 0, 0, 0,
...           1, 1, 1, 1,
...           2, 2, 2, 2]
>>> graph = DualVoronoiGraph((node_y, node_x), sort=True)
>>> graph.x_of_corner
array([ 0.5,  1.5,  2.5,  0.7,  1.7,  2.7,  0.7,  1.7,  2.7,  0.9,  1.9,
        2.9])
>>> graph.y_of_corner 
array([ 0.42,  0.42,  0.42,  0.58,  0.58,  0.58,  1.42,  1.42,  1.42,
        1.58,  1.58,  1.58])
>>> graph.corners_at_face 
array([[ 0,  3], [ 3,  1], [ 1,  4], [ 4,  2], [ 2,  5],
       [ 3,  6], [ 4,  7], [ 5,  8],
       [ 6,  9], [ 9,  7], [ 7, 10], [10,  8], [ 8, 11]])
>>> graph.faces_at_corner 
array([[ 0, -1, -1], [ 2,  1, -1], [ 4,  3, -1],
       [ 5,  0,  1], [ 6,  2,  3], [ 7,  4, -1],
       [ 8,  5, -1], [10,  9,  6], [12, 11,  7],
       [ 8,  9, -1], [10, 11, -1], [12, -1, -1]])
>>> graph.node_at_cell
array([5, 6])
property adjacent_corners_at_corner#

Get adjacent corners.

See also

Graph.adjacent_nodes_at_node

property adjacent_faces_at_face#
property angle_of_face#

Get the angle of each face.

See also

Graph.angle_of_link

property area_of_cell#

Get the area of each cell.

See also

Graph.area_of_patch

property cells_at_corner#

Get the cells that touch each corner.

See also

Graph.patches_at_node

property cells_at_face#

Get the cells on either side of each face.

See also

Graph.patches_at_link

property corner_at_face_head#

Get corners at face head.

See also

Graph.node_at_link_head

property corner_at_face_tail#

Get corners at face tail.

See also

Graph.node_at_link_tail

property corner_x#
property corner_y#
property corners#

Get identifier for each corner.

See also

Graph.nodes

property corners_at_cell#

Get the corners that define a cell.

See also

Graph.nodes_at_patch

property corners_at_face#

Get corners at either end of faces.

See also

Graph.nodes_at_link

property face_dirs_at_corner#

Get directions of faces touching a corner.

See also

Graph.link_dirs_at_node

property faces_at_cell#

Get the faces that define a cell.

See also

Graph.links_at_patch

property faces_at_corner#

Get faces touching a corner.

See also

Graph.links_at_node

property length_of_face#

Get the length of faces.

See also

Graph.length_of_link

property midpoint_of_face#

Get the middle of faces.

See also

Graph.midpoint_of_link

property number_of_cells#

Get the number of cells.

See also

Graph.number_of_patches

property number_of_corners#

Get total number of corners.

See also

Graph.number_of_nodes

property number_of_faces#

Get corners at face head.

See also

Graph.number_of_links

property perimeter_corners#

Get corners on the convex hull of a Graph.

See also

Graph.perimeter_nodes

property unit_vector_at_corner#

Get a unit vector for each corner.

See also

Graph.unit_vector_at_node

property unit_vector_at_face#

Make arrays to store the unit vectors associated with each face.

See also

Graph.unit_vector_at_link

property x_of_corner#

Get x-coordinate of corner.

See also

Graph.x_of_node

property xy_of_cell#

Get the centroid of each cell.

See also

Graph.xy_of_patch

property xy_of_corner#

Get x and y-coordinates of corner.

See also

Graph.xy_of_node

property xy_of_face#
property y_of_corner#

Get y-coordinate of corner.

See also

Graph.y_of_node

landlab.graph.voronoi.voronoi module#

class DelaunayGraph(node_y_and_x, max_node_spacing=None, sort=False, perimeter_links=None)[source]#

Bases: Graph

Graph of a voronoi grid.

Examples

>>> from landlab.graph import DelaunayGraph

Create a voronoi grid.

Parameters

nodes (tuple of array_like) – Coordinates of every node. First y, then x.

Examples

>>> from landlab.graph import DelaunayGraph
>>> node_x = [0.0, 1.0, 2.0,
...           0.9, 1.9, 2.9]
>>> node_y = [0, 0, 0,
...           2, 2, 2]
>>> graph = DelaunayGraph((node_y, node_x), sort=True)
>>> graph.x_of_node
array([ 0. ,  1. ,  2. ,  0.9,  1.9,  2.9])
>>> graph.y_of_node
array([ 0.,  0.,  0.,  2.,  2.,  2.])
>>> graph.nodes_at_link 
array([[0, 1], [1, 2],
       [0, 3], [1, 3], [1, 4], [2, 4], [2, 5],
       [3, 4], [4, 5]])
>>> graph.links_at_node 
array([[ 0,  2, -1, -1], [ 1,  4,  3,  0], [ 6,  5,  1, -1],
       [ 7,  2,  3, -1], [ 8,  7,  4,  5], [ 8,  6, -1, -1]])
>>> graph.links_at_patch 
array([[3, 2, 0], [5, 4, 1], [7, 3, 4], [8, 5, 6]])
>>> graph.nodes_at_patch 
array([[3, 0, 1], [4, 1, 2], [4, 3, 1], [5, 4, 2]])
__init__(node_y_and_x, max_node_spacing=None, sort=False, perimeter_links=None)[source]#

Create a voronoi grid.

Parameters

nodes (tuple of array_like) – Coordinates of every node. First y, then x.

Examples

>>> from landlab.graph import DelaunayGraph
>>> node_x = [0.0, 1.0, 2.0,
...           0.9, 1.9, 2.9]
>>> node_y = [0, 0, 0,
...           2, 2, 2]
>>> graph = DelaunayGraph((node_y, node_x), sort=True)
>>> graph.x_of_node
array([ 0. ,  1. ,  2. ,  0.9,  1.9,  2.9])
>>> graph.y_of_node
array([ 0.,  0.,  0.,  2.,  2.,  2.])
>>> graph.nodes_at_link 
array([[0, 1], [1, 2],
       [0, 3], [1, 3], [1, 4], [2, 4], [2, 5],
       [3, 4], [4, 5]])
>>> graph.links_at_node 
array([[ 0,  2, -1, -1], [ 1,  4,  3,  0], [ 6,  5,  1, -1],
       [ 7,  2,  3, -1], [ 8,  7,  4,  5], [ 8,  6, -1, -1]])
>>> graph.links_at_patch 
array([[3, 2, 0], [5, 4, 1], [7, 3, 4], [8, 5, 6]])
>>> graph.nodes_at_patch 
array([[3, 0, 1], [4, 1, 2], [4, 3, 1], [5, 4, 2]])

Module contents#

class DelaunayGraph(node_y_and_x, max_node_spacing=None, sort=False, perimeter_links=None)[source]#

Bases: Graph

Graph of a voronoi grid.

Examples

>>> from landlab.graph import DelaunayGraph

Create a voronoi grid.

Parameters

nodes (tuple of array_like) – Coordinates of every node. First y, then x.

Examples

>>> from landlab.graph import DelaunayGraph
>>> node_x = [0.0, 1.0, 2.0,
...           0.9, 1.9, 2.9]
>>> node_y = [0, 0, 0,
...           2, 2, 2]
>>> graph = DelaunayGraph((node_y, node_x), sort=True)
>>> graph.x_of_node
array([ 0. ,  1. ,  2. ,  0.9,  1.9,  2.9])
>>> graph.y_of_node
array([ 0.,  0.,  0.,  2.,  2.,  2.])
>>> graph.nodes_at_link 
array([[0, 1], [1, 2],
       [0, 3], [1, 3], [1, 4], [2, 4], [2, 5],
       [3, 4], [4, 5]])
>>> graph.links_at_node 
array([[ 0,  2, -1, -1], [ 1,  4,  3,  0], [ 6,  5,  1, -1],
       [ 7,  2,  3, -1], [ 8,  7,  4,  5], [ 8,  6, -1, -1]])
>>> graph.links_at_patch 
array([[3, 2, 0], [5, 4, 1], [7, 3, 4], [8, 5, 6]])
>>> graph.nodes_at_patch 
array([[3, 0, 1], [4, 1, 2], [4, 3, 1], [5, 4, 2]])
__init__(node_y_and_x, max_node_spacing=None, sort=False, perimeter_links=None)[source]#

Create a voronoi grid.

Parameters

nodes (tuple of array_like) – Coordinates of every node. First y, then x.

Examples

>>> from landlab.graph import DelaunayGraph
>>> node_x = [0.0, 1.0, 2.0,
...           0.9, 1.9, 2.9]
>>> node_y = [0, 0, 0,
...           2, 2, 2]
>>> graph = DelaunayGraph((node_y, node_x), sort=True)
>>> graph.x_of_node
array([ 0. ,  1. ,  2. ,  0.9,  1.9,  2.9])
>>> graph.y_of_node
array([ 0.,  0.,  0.,  2.,  2.,  2.])
>>> graph.nodes_at_link 
array([[0, 1], [1, 2],
       [0, 3], [1, 3], [1, 4], [2, 4], [2, 5],
       [3, 4], [4, 5]])
>>> graph.links_at_node 
array([[ 0,  2, -1, -1], [ 1,  4,  3,  0], [ 6,  5,  1, -1],
       [ 7,  2,  3, -1], [ 8,  7,  4,  5], [ 8,  6, -1, -1]])
>>> graph.links_at_patch 
array([[3, 2, 0], [5, 4, 1], [7, 3, 4], [8, 5, 6]])
>>> graph.nodes_at_patch 
array([[3, 0, 1], [4, 1, 2], [4, 3, 1], [5, 4, 2]])
class DualVoronoiGraph(node_y_and_x, max_node_spacing=None, sort=False, perimeter_links=None)[source]#

Bases: DualGraph, DelaunayGraph

Create a voronoi grid.

Parameters

nodes (tuple of array_like) – Coordinates of every node. First y, then x.

Examples

>>> from landlab.graph import DualVoronoiGraph
>>> node_x = [0, 1, 2, 3,
...           0.2, 1.2, 2.2, 3.2,
...           0.4, 1.4, 2.4, 3.4]
>>> node_y = [0, 0, 0, 0,
...           1, 1, 1, 1,
...           2, 2, 2, 2]
>>> graph = DualVoronoiGraph((node_y, node_x), sort=True)
>>> graph.x_of_corner
array([ 0.5,  1.5,  2.5,  0.7,  1.7,  2.7,  0.7,  1.7,  2.7,  0.9,  1.9,
        2.9])
>>> graph.y_of_corner 
array([ 0.42,  0.42,  0.42,  0.58,  0.58,  0.58,  1.42,  1.42,  1.42,
        1.58,  1.58,  1.58])
>>> graph.corners_at_face 
array([[ 0,  3], [ 3,  1], [ 1,  4], [ 4,  2], [ 2,  5],
       [ 3,  6], [ 4,  7], [ 5,  8],
       [ 6,  9], [ 9,  7], [ 7, 10], [10,  8], [ 8, 11]])
>>> graph.faces_at_corner 
array([[ 0, -1, -1], [ 2,  1, -1], [ 4,  3, -1],
       [ 5,  0,  1], [ 6,  2,  3], [ 7,  4, -1],
       [ 8,  5, -1], [10,  9,  6], [12, 11,  7],
       [ 8,  9, -1], [10, 11, -1], [12, -1, -1]])
>>> graph.node_at_cell
array([5, 6])
__init__(node_y_and_x, max_node_spacing=None, sort=False, perimeter_links=None)[source]#

Create a voronoi grid.

Parameters

nodes (tuple of array_like) – Coordinates of every node. First y, then x.

Examples

>>> from landlab.graph import DualVoronoiGraph
>>> node_x = [0, 1, 2, 3,
...           0.2, 1.2, 2.2, 3.2,
...           0.4, 1.4, 2.4, 3.4]
>>> node_y = [0, 0, 0, 0,
...           1, 1, 1, 1,
...           2, 2, 2, 2]
>>> graph = DualVoronoiGraph((node_y, node_x), sort=True)
>>> graph.x_of_corner
array([ 0.5,  1.5,  2.5,  0.7,  1.7,  2.7,  0.7,  1.7,  2.7,  0.9,  1.9,
        2.9])
>>> graph.y_of_corner 
array([ 0.42,  0.42,  0.42,  0.58,  0.58,  0.58,  1.42,  1.42,  1.42,
        1.58,  1.58,  1.58])
>>> graph.corners_at_face 
array([[ 0,  3], [ 3,  1], [ 1,  4], [ 4,  2], [ 2,  5],
       [ 3,  6], [ 4,  7], [ 5,  8],
       [ 6,  9], [ 9,  7], [ 7, 10], [10,  8], [ 8, 11]])
>>> graph.faces_at_corner 
array([[ 0, -1, -1], [ 2,  1, -1], [ 4,  3, -1],
       [ 5,  0,  1], [ 6,  2,  3], [ 7,  4, -1],
       [ 8,  5, -1], [10,  9,  6], [12, 11,  7],
       [ 8,  9, -1], [10, 11, -1], [12, -1, -1]])
>>> graph.node_at_cell
array([5, 6])
property adjacent_corners_at_corner#

Get adjacent corners.

See also

Graph.adjacent_nodes_at_node

property adjacent_faces_at_face#
property angle_of_face#

Get the angle of each face.

See also

Graph.angle_of_link

property area_of_cell#

Get the area of each cell.

See also

Graph.area_of_patch

property cells_at_corner#

Get the cells that touch each corner.

See also

Graph.patches_at_node

property cells_at_face#

Get the cells on either side of each face.

See also

Graph.patches_at_link

property corner_at_face_head#

Get corners at face head.

See also

Graph.node_at_link_head

property corner_at_face_tail#

Get corners at face tail.

See also

Graph.node_at_link_tail

property corner_x#
property corner_y#
property corners#

Get identifier for each corner.

See also

Graph.nodes

property corners_at_cell#

Get the corners that define a cell.

See also

Graph.nodes_at_patch

property corners_at_face#

Get corners at either end of faces.

See also

Graph.nodes_at_link

property face_dirs_at_corner#

Get directions of faces touching a corner.

See also

Graph.link_dirs_at_node

property faces_at_cell#

Get the faces that define a cell.

See also

Graph.links_at_patch

property faces_at_corner#

Get faces touching a corner.

See also

Graph.links_at_node

property length_of_face#

Get the length of faces.

See also

Graph.length_of_link

property midpoint_of_face#

Get the middle of faces.

See also

Graph.midpoint_of_link

property number_of_cells#

Get the number of cells.

See also

Graph.number_of_patches

property number_of_corners#

Get total number of corners.

See also

Graph.number_of_nodes

property number_of_faces#

Get corners at face head.

See also

Graph.number_of_links

property perimeter_corners#

Get corners on the convex hull of a Graph.

See also

Graph.perimeter_nodes

property unit_vector_at_corner#

Get a unit vector for each corner.

See also

Graph.unit_vector_at_node

property unit_vector_at_face#

Make arrays to store the unit vectors associated with each face.

See also

Graph.unit_vector_at_link

property x_of_corner#

Get x-coordinate of corner.

See also

Graph.x_of_node

property xy_of_cell#

Get the centroid of each cell.

See also

Graph.xy_of_patch

property xy_of_corner#

Get x and y-coordinates of corner.

See also

Graph.xy_of_node

property xy_of_face#
property y_of_corner#

Get y-coordinate of corner.

See also

Graph.y_of_node