Network

class compas.datastructures.Network(name=None, default_node_attributes=None, default_edge_attributes=None)[source]

Bases: Graph

Geometric implementation of an edge graph.

Parameters

• name (str, optional) – The name of the datastructure.

• default_node_attributes (dict, optional) – Default values for node attributes.

• default_edge_attributes (dict, optional) – Default values for edge attributes.

Methods

adjacency_matrix	Creates a node adjacency matrix from a Network datastructure.
complement	Generate the complement network of a network.
connectivity_matrix	Creates a connectivity matrix from a Network datastructure.
count_crossings	Count the number of crossings (pairs of crossing edges) in the network.
degree_matrix	Creates a node degree matrix from a Network datastructure.
edge_coordinates	Return the coordinates of the start and end point of an edge.
edge_direction	Return the direction vector of an edge.
edge_length	Return the length of an edge.
edge_midpoint	Return the location of the midpoint of an edge.
edge_point	Return the location of a point along an edge.
edge_vector	Return the vector of an edge.
embed_in_plane	Embed the network in the plane.
find_crossings	Identify all pairs of crossing edges in a network.
find_cycles	Find the faces of a network.
from_lines	Construct a network from a set of lines represented by their start and end point coordinates.
from_nodes_and_edges	Construct a network from nodes and edges.
from_obj	Construct a network from the data contained in an OBJ file.
gkey_key	Returns a dictionary that maps geometric keys of a certain precision to the keys of the corresponding nodes.
gkey_node	Returns a dictionary that maps geometric keys of a certain precision to the keys of the corresponding nodes.
is_connected	Verify that the network is connected.
is_crossed	Verify if a network has crossing edges.
is_planar	Check if the network is planar.
is_planar_embedding	Verify that a network is embedded in the plane without crossing edges.
is_xy	Verify that a network lies in the XY plane.
key_gkey	Returns a dictionary that maps node dictionary keys to the corresponding geometric key up to a certain precision.
laplacian_matrix	Construct a Laplacian matrix from a Network datastructure.
network_adjacency_matrix	Creates a node adjacency matrix from a Network datastructure.
network_connectivity_matrix	Creates a connectivity matrix from a Network datastructure.
network_degree_matrix	Creates a node degree matrix from a Network datastructure.
network_embed_in_plane	Embed the network in the plane.
network_is_planar	Check if the network is planar.
network_is_planar_embedding	Verify that a network is embedded in the plane without crossing edges.
network_laplacian_matrix	Construct a Laplacian matrix from a Network datastructure.
node_coordinates	Return the coordinates of a node.
node_gkey	Returns a dictionary that maps node dictionary keys to the corresponding geometric key up to a certain precision.
node_laplacian	Return the vector from the node to the centroid of its 1-ring neighborhood.
node_neighborhood_centroid	Compute the centroid of the neighboring nodes.
shortest_path	Find the shortest path between two nodes of the network.
smooth	Smooth a network by moving every free node to the centroid of its neighbors.
split_edge	Split and edge by inserting a node along its length.
to_lines	Return the lines of the network as pairs of start and end point coordinates.
to_nodes_and_edges	Return the nodes and edges of a network.
to_obj	Write the network to an OBJ file.
to_points	Return the coordinates of the network.
transform	Transform a network.
transformed	Return a transformed copy of the network.

Inherited Methods

add_edge	Add an edge and specify its attributes.
add_node	Add a node and specify its attributes (optional).
clear	Clear all the network data.
connected_edges	Return the edges connected to a node.
copy	Make an independent copy of the data object.
degree	Return the number of neighbors of a node.
degree_in	Return the numer of incoming neighbors of a node.
degree_out	Return the number of outgoing neighbors of a node.
delete_edge	Delete an edge from the network.
delete_node	Delete a node from the graph.
edge_attribute	Get or set an attribute of an edge.
edge_attributes	Get or set multiple attributes of an edge.
edge_sample	Get the identifiers of a set of random edges.
edges	Iterate over the edges of the network.
edges_attribute	Get or set an attribute of multiple edges.
edges_attributes	Get or set multiple attributes of multiple edges.
edges_where	Get edges for which a certain condition or set of conditions is true.
edges_where_predicate	Get edges for which a certain condition or set of conditions is true using a lambda function.
from_data	Construct an object of this type from the provided data.
from_edges	Create a new graph instance from information about the edges.
from_json	Construct an object from serialized data contained in a JSON file.
from_jsonstring	Construct an object from serialized data contained in a JSON string.
from_networkx	Create a new graph instance from a NetworkX DiGraph instance.
get_any_edge	Get the identifier of a random edge.
get_any_edges	Get the identifiers of a set of random edges.
get_any_node	Get the identifier of a random node.
get_any_nodes	Get a list of identifiers of a random set of n nodes.
has_edge	Verify if the network contains a specific edge.
has_node	Verify if a specific node is present in the network.
index_key	Returns a dictionary that maps the indices of a node list to keys in a node dictionary.
index_uv	Returns a dictionary that maps edges in a list to the corresponding vertex key pairs.
is_leaf	Verify if a node is a leaf.
is_node_connected	Verify if a specific node is connected.
key_index	Returns a dictionary that maps node identifiers to their corresponding index in a node list or array.
leaves	Return all leaves of the network.
neighborhood	Return the nodes in the neighborhood of a node.
neighbors	Return the neighbors of a node.
neighbors_in	Return the incoming neighbors of a node.
neighbors_out	Return the outgoing neighbors of a node.
node_attribute	Get or set an attribute of a node.
node_attributes	Get or set multiple attributes of a node.
node_sample	Get a list of identifiers of a random set of n nodes.
nodes	Iterate over the nodes of the network.
nodes_attribute	Get or set an attribute of multiple nodes.
nodes_attributes	Get or set multiple attributes of multiple nodes.
nodes_where	Get nodes for which a certain condition or set of conditions is true.
nodes_where_predicate	Get nodes for which a certain condition or set of conditions is true using a lambda function.
number_of_edges	Compute the number of edges of the graph.
number_of_nodes	Compute the number of nodes of the graph.
summary	Return a summary of the graph.
to_data	Convert an object to its native data representation.
to_json	Serialize the data representation of an object to a JSON file.
to_jsonstring	Serialize the data representation of an object to a JSON string.
to_networkx	Create a new NetworkX graph instance from a graph.
unset_edge_attribute	Unset the attribute of an edge.
unset_node_attribute	Unset the attribute of a node.
update_dea	Update the default edge attributes.
update_default_edge_attributes	Update the default edge attributes.
update_default_node_attributes	Update the default node attributes.
update_dna	Update the default node attributes.
uv_index	Returns a dictionary that maps edge keys (i.e.
validate_data	Validate the object's data against its data schema.
validate_json	Validate the object's data against its json schema.