由于您拥有 Graphviz,您可以使用它来制作精美的绘图并控制绘图的元素。 “点”布局引擎在定位有向图方面做得很好,就像你的例子中的那样。
例如
import networkx as nx
import pylab as plt
from networkx.drawing.nx_agraph import graphviz_layout, to_agraph
import pygraphviz as pgv
G = nx.DiGraph()
G.add_node("A",rank=0)
G.add_nodes_from(['B','C','D'],style='filled',fillcolor='red')
G.add_nodes_from(['D','F','G'])
G.add_nodes_from(['H'],label='target')
G.add_edge('A','B',arrowsize=2.0)
G.add_edge('A','C',penwidth=2.0)
G.add_edge('A','D')
G.add_edges_from([('B','E'),('B','F')],color='blue')
G.add_edges_from([('C','E'),('C','G')])
G.add_edges_from([('D','F'),('D','G')])
G.add_edges_from([('E','H'),('F','H'),('G','H')])
# set defaults
G.graph['graph']={'rankdir':'TD'}
G.graph['node']={'shape':'circle'}
G.graph['edges']={'arrowsize':'4.0'}
A = to_agraph(G)
print(A)
A.layout('dot')
A.draw('abcd.png')
产生输出
strict digraph {
graph [rankdir=TD];
node [label="\N",
shape=circle
];
A [rank=0];
C [fillcolor=red,
style=filled];
A -> C [penwidth=2.0];
B [fillcolor=red,
style=filled];
A -> B [arrowsize=2.0];
D [fillcolor=red,
style=filled];
A -> D;
C -> E;
C -> G;
B -> E [color=blue];
B -> F [color=blue];
D -> G;
D -> F;
H [label=target];
E -> H;
G -> H;
F -> H;
}
由点渲染为
您可以在http://www.graphviz.org/doc/info/attrs.html阅读有关可调绘图参数的信息