As you say, it’s just a matter of adding the attributes when adding the nodes to the graph G.add_node(‘abc’, dob=1185, pob=’usa’, dayob=’monday’) or as a dictionary G.add_node(‘abc’, {‘dob’: 1185, ‘pob’: ‘usa’, ‘dayob’: ‘monday’}) To access the attributes, just access them as you would with any dictionary G.node[‘abc’][‘dob’] # 1185 G.node[‘abc’][‘pob’] # usa G.node[‘abc’][‘dayob’] # monday … Read more
If you use a directed graph then the Graphviz dot layout will do something like you want with the tree. Here is some code similar to the above solutions that shows how to do that import networkx as nx from networkx.drawing.nx_agraph import graphviz_layout import matplotlib.pyplot as plt G = nx.DiGraph() G.add_node(“ROOT”) for i in range(5): … Read more
Fully fleshed out example with arrows for only the red edges: import networkx as nx import matplotlib.pyplot as plt G = nx.DiGraph() G.add_edges_from( [(‘A’, ‘B’), (‘A’, ‘C’), (‘D’, ‘B’), (‘E’, ‘C’), (‘E’, ‘F’), (‘B’, ‘H’), (‘B’, ‘G’), (‘B’, ‘F’), (‘C’, ‘G’)]) val_map = {‘A’: 1.0, ‘D’: 0.5714285714285714, ‘H’: 0.0} values = [val_map.get(node, 0.25) for node … Read more