networkx 之node edge

最新推荐文章于 2025-04-16 01:21:13 发布

转载最新推荐文章于 2025-04-16 01:21:13 发布 · 1.3k 阅读

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本文详细介绍了使用Python的NetworkX库进行图节点操作的方法，包括添加单个节点、批量添加节点、清除节点以及从其他图中添加节点的过程。同时，展示了如何通过NetworkX创建加权图，并遍历图中边的权重。

1:node

>>> import networkx as nx
>>> G=nx.Graph()
>>> G.add_node(1)
>>> G.add_nodes_form([2,5])
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
AttributeError: 'Graph' object has no attribute 'add_nodes_form'
>>> G.add_nodes_from([2, 3])
>>> G.add_nodes_from([4, 5])
>>> G.add_nodes_from([6, 8])
>>> G.node
NodeView((1, 2, 3, 4, 5, 6, 8))
>>> G.clear()
>>> G.node
NodeView(())
>>> H=nx.path_graph(10)
>>> G.add_nodes_from(H)
>>> G.node
NodeView((0, 1, 2, 3, 4, 5, 6, 7, 8, 9))
>>> G.clear()
>>> G.node
NodeView(())

import networkx as nx
import matplotlib.pyplot as plt
FG = nx.Graph()
FG.add_weighted_edges_from([(1, 2, 0.125), (1, 3, 0.75), (2, 4, 1.2), (3, 4, 0.375)])
for n, nbrs in FG.adj.items():
   for nbr, eattr in nbrs.items():
       wt = eattr['weight']
       if wt < 0.5: print('(%d, %d, %.3f)' % (n, nbr, wt))
for n,nbrs in FG.adj.items():
    for nbr,eattr in nbrs.items():
        wt=eattr['weight']
        if wt<0.5: 
               print('(%d ,%d ,%.3f)' % (n,nbr,wt))