graph

Add edge-weights to plot output in networkx

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You’ll have to call nx.draw_networkx_edge_labels(), which will allow you to… draw networkX edge labels 🙂 EDIT: full modified source #!/usr/bin/python import networkx as nx import matplotlib.pyplot as plt G=nx.Graph() i=1 G.add_node(i,pos=(i,i)) G.add_node(2,pos=(2,2)) G.add_node(3,pos=(1,0)) G.add_edge(1,2,weight=0.5) G.add_edge(1,3,weight=9.8) pos=nx.get_node_attributes(G,’pos’) nx.draw(G,pos) labels = nx.get_edge_attributes(G,’weight’) nx.draw_networkx_edge_labels(G,pos,edge_labels=labels) plt.savefig(<wherever>)

Graph implementation C++

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Below is a implementation of Graph Data Structure in C++ as Adjacency List. I have used STL vector for representation of vertices and STL pair for denoting edge and destination vertex. #include <iostream> #include <vector> #include <map> #include <string> using namespace std; struct vertex { typedef pair<int, vertex*> ve; vector<ve> adj; //cost of edge, destination … Read more

Detecting cycles in a graph using DFS: 2 different approaches and what’s the difference

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Answering my question: The graph has a cycle if and only if there exists a back edge. A back edge is an edge that is from a node to itself (selfloop) or one of its ancestor in the tree produced by DFS forming a cycle. Both approaches above actually mean the same. However, this method … Read more

D3.js force directed graph, reduce edge crossings by making edges repel each other

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Unfortunately, the answer to your question does not exist. There is no built-in mechanism in D3 that repels edges or minimizes edge crossings. You would think it wouldn’t be that hard to implement a charge on an edge, but here we are. Furthermore, there doesn’t seem to be any mechanism anywhere that reduces edge crossings … Read more

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