## 通过NetworkX中的边和节点属性查询图的最佳方法？内容来源于 Stack Overflow，并遵循CC BY-SA 3.0许可协议进行翻译与使用

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``````G2 = nx.MultiDiGraph()
G2.add_node( "UserA", { "type" :"Cat" } )
G2.add_node( "UserB", { "type" :"Dog" } )
G2.add_node( "UserC", { "type" :"Mouse" } )
G2.add_node( "Likes", { "type" :"Feeling" } )
G2.add_node( "Hates", { "type" :"Feeling" } )

G2.add_edge( "UserA", 'Hates' ,  statementid="1" )
G2.add_edge( "Hates", 'UserB' ,  statementid="1"  )
G2.add_edge( "UserC", 'Hates' ,  statementid="2" )
G2.add_edge( "Hates", 'UserA' ,  statementid="2"  )
G2.add_edge( "UserB", 'Hates' ,  statementid="3"  )
G2.add_edge( "Hates", 'UserA' ,  statementid="3"  )
G2.add_edge( "UserC", 'Likes' ,  statementid="3"  )
G2.add_edge( "Likes", 'UserB' ,  statementid="3"  )
``````

`如下`

``````for node,data in G2.nodes_iter(data=True):
if ( data['type'] == "Cat" ):
# get all edges out from these nodes
#then recursively follow using a filter for a specific statement_id

#or get all edges with a specific statement id
# look for  with a node attribute of "cat"
``````

```import networkx as nx

G = nx.Graph()

# method 1
fish = (n for n in G if G.node[n]['label']=='fish')
# method 2
fish2 = (n for n,d in G.nodes(data=True) if d['label']=='fish')

print(list(fish))
print(list(fish2))

red = ((u,v) for u,v,d in G.edges(data=True) if d['color']=='red')

print(list(red))```

```labels = {}
for n, d in G.nodes(data=True):
l = d['label']
labels[l] = labels.get(l, [])
labels[l].append(n)
print labels```