Just wondering if there is convenient networkx function that returns a list of edges connected to a given node (or nodes) (e.g. my_node_name
) in a graph (e.g. G
).
I can do it this way:
edlist=[] for ed in G.edges(): if 'my_node_name' in ed: edlist.append(ed)
but expect there might be a better way?
clear. Remove all nodes and edges from the graph. This also removes the name, and all graph, node, and edge attributes.
In a directed graph having N vertices, each vertex can connect to N-1 other vertices in the graph(Assuming, no self loop). Hence, the total number of edges can be are N(N-1).
nbunch. An nbunch is a single node, container of nodes or None (representing all nodes). It can be a list, set, graph, etc.. To filter an nbunch so that only nodes actually in G appear, use G.
If the graph is undirected, you can use
G.edges(node)
In networkx 2.x this is an EdgeDataView
object. In networkx 1.x this is a list - if you want a generator in 1.x rather than getting the whole list, G.edges_iter(node)
works (this no longer exists in 2.x).
If the graph is directed the command above will not give the in-edges. Use
G.in_edges(node) G.out_edges(node)
These are views in 2.x. In 1.x these are lists and there are generator options: G.in_edges_iter(node)
and G.out_edges_iter(node)
If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
Donate Us With