如何在python networkX包中显示二分图,左边一列中的节点和右边另一个类中的节点?
我可以创建图表并像这样显示
B = nx.Graph()
B.add_nodes_from([1,2,3,4], bipartite=0) # Add the node attribute "bipartite"
B.add_nodes_from(['a','b','c'], bipartite=1)
B.add_edges_from([(1,'a'), (1,'b'), (2,'b'), (2,'c'), (3,'c'), (4,'a')])
nx.draw(B)
plt.show()
但我希望列中左侧的节点1,2,3,4和节点' a'''' c'在右边的一列中,边缘在它们之间。
答案 0 :(得分:2)
您需要自己设置每个节点的位置:
B = nx.Graph()
B.add_nodes_from([1,2,3,4], bipartite=0) # Add the node attribute "bipartite"
B.add_nodes_from(['a','b','c'], bipartite=1)
B.add_edges_from([(1,'a'), (1,'b'), (2,'b'), (2,'c'), (3,'c'), (4,'a')])
# Separate by group
l, r = nx.bipartite.sets(B)
pos = {}
# Update position for node from each group
pos.update((node, (1, index)) for index, node in enumerate(l))
pos.update((node, (2, index)) for index, node in enumerate(r))
nx.draw(B, pos=pos)
plt.show()
答案 1 :(得分:1)
答案 2 :(得分:0)
回答我自己的问题,基于上面的@Rikka - 这里是代码,用于确定任意多部分图中节点的位置,给出部件的名称。
def position_MultiPartiteGraph( Graph, Parts ):
# Graph is a networkX Graph object, where the nodes have attribute 'agentType' with part name as a value
# Parts is a list of names for the parts (to be shown as columns)
# returns list of dictionaries with keys being networkX Nodes, values being x,y coordinates for plottingxPos = {}
xPos = {}
yPos = {}
for index1, agentType in enumerate(Parts):
xPos[agentType] = index1
yPos[agentType] = 0
pos = {}
for node, attrDict in Graph.nodes(data=True):
agentType = attrDict['agentType']
# print ('node: %s\tagentType: %s' % (node, agentType))
# print ('\t(x,y): (%d,%d)' % (xPos[agentType], yPos[agentType]))
pos[node] = (xPos[agentType], yPos[agentType])
yPos[agentType] += 1
return pos
现在,假设我定义了一个这样的三方图(权重与此示例无关):
TG = nx.Graph()
TG.add_nodes_from([1,2,3,4], agentType='world') # Add the node attribute "bipartite"
TG.add_nodes_from(['a','b','c'], agentType='sender')
TG.add_nodes_from(['A','B','C'], agentType='receiver')
# This is just an easier way to add (and to automatically generate) weighted edges
myEdges = [(1,'a',0.75),
(1,'b',0.25),
(2,'b',0.5),
(2,'c',0.5),
(3,'c',1.0),
(4,'a',1.0),
('a','C',0.10),
('a','A',0.80),
('c','A',1.0),
('b','C',1.0)]
[TG.add_edge(x,y,weight=z) for x,y, z in myEdges]
然后是如何使用它:
nx.draw(TG,pos=position_MultiPartiteGraph(TG, ['world', 'sender', 'receiver']))
plt.show()
我不确定如何显示输出,但它对我有用!欢呼!谢谢@Rikka!