Graphviz does a good job drawing parallel edges. You can use that with NetworkX by writing a dot file and then processing with Graphviz (e.g. neato layout below). You’ll need pydot or pygraphviz in addition to NetworkX In [1]: import networkx as nx In [2]: G=nx.MultiGraph() In [3]: G.add_edge(1,2) In [4]: G.add_edge(1,2) In [5]: nx.write_dot(G,’multi.dot’) … Read more
Unfortunately not. It is technically possible to do but so far nobody has written the code.
An improvement to the reply above is adding the connectionstyle to nx.draw, this allows to see two parallel lines in the plot: import networkx as nx import matplotlib.pyplot as plt G = nx.DiGraph() #or G = nx.MultiDiGraph() G.add_node(‘A’) G.add_node(‘B’) G.add_edge(‘A’, ‘B’, length = 2) G.add_edge(‘B’, ‘A’, length = 3) pos = nx.spring_layout(G) nx.draw(G, pos, with_labels=True, … 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
The order of the edges passed to the drawing functions are important. If you don’t specify (using the edges keyword) you’ll get the default order of G.edges(). It is safest to explicitly give the parameter like this: import networkx as nx G = nx.Graph() G.add_edge(1,2,color=”r”,weight=2) G.add_edge(2,3,color=”b”,weight=4) G.add_edge(3,4,color=”g”,weight=6) pos = nx.circular_layout(G) edges = G.edges() colors = … Read more
[scroll down a bit to see what kind of output the code produces] edit (7 Nov 2019) I’ve put a more refined version of this into a package I’ve been writing: https://epidemicsonnetworks.readthedocs.io/en/latest/_modules/EoN/auxiliary.html#hierarchy_pos. The main difference between the code here and the version there is that the code here gives all children of a given node … Read more
tl/dr: just add with_labels=True to the nx.draw call. The page you were looking at is somewhat complex because it shows how to set lots of different things as the labels, how to give different nodes different colors, and how to provide carefully control node positions. So there’s a lot going on. However, it appears you … Read more
In many cases, modeling a problem as a graph, can make make fairly complicated tasks much easier. In this case, what we’d be looking for from a graph theory point of view, are the connected components of the graph. So a simple way to go about this, is to generate a graph with NetworkX, and … Read more