如何向networkx中的边缘添加新属性?
问题描述
我所拥有的: 在 networkx 中导入的图 G，其节点和边由 gml 文件加载.
What I have: a graph G imported in networkx with nodes and edges loaded by gml file.
问题:如何为选中的边E添加新属性.
Problem: How to add a new attribute to a selected edge E.
我想做什么:我想为我的图表的特定边 E 添加一个新属性类型".注意:该边 E 不存在类型"属性.
What I want to do: I want to add a new attribute 'type' for a particular edge E of my graph. Attention: the attribute 'type' doesn't exist for this edge E.
我的代码是:
G.edge[id_source][id_target]['type']= value
但是如果我打印 G 的所有边，现在我有 n+1 个边；G 的所有旧边，以及一条新边 p= (id_source, id_target, {'type'= value}).此外，旧边 E(我要修改的边)没有新属性type".
But if I print all the edges of G, now I have n+1 edges; all the old edges of G, and a new edge p= (id_source, id_target, {'type'= value}). Furthermore, the old edge E (the one that I want modify) doesn't have the new attribute 'type'.
所以我的代码添加了一个新的优势(我不想要).
So my code have added a new edge (that I don't want).
我想更新旧的添加一个不存在的新属性.
I want to update the old one adding a new attribute that doesn't exist.
解决方案
你可能有一个 networkx MultiGraph 而不是一个图，在这种情况下，边的属性设置有点棘手.(您可以通过加载节点之间具有多条边的图来获得多重图).您可能会通过分配属性来破坏数据结构G.edge[id_source][id_target]['type']= value 当您需要时G.edge[id_source][id_target][key]['type']= value.
You may have a networkx MultiGraph instead of a graph and in that case the attribute setting for edges is a little tricker. (You can get a multigraph by loading a graph with more than one edge between nodes). You may be corrupting the data structure by assigning the attribute
G.edge[id_source][id_target]['type']= value when you need
G.edge[id_source][id_target][key]['type']= value.
以下是 Graphs 和 MultiGraphs 的不同工作方式示例.
Here are examples of how it works differently for Graphs and MultiGraphs.
对于 Graph 案例属性的工作方式如下:
For the Graph case attributes work like this:
In [1]: import networkx as nx
In [2]: G = nx.Graph()
In [3]: G.add_edge(1,2,color='red')
In [4]: G.edges(data=True)
Out[4]: [(1, 2, {'color': 'red'})]
In [5]: G.add_edge(1,2,color='blue')
In [6]: G.edges(data=True)
Out[6]: [(1, 2, {'color': 'blue'})]
In [7]: G[1][2]
Out[7]: {'color': 'blue'}
In [8]: G[1][2]['color']='green'
In [9]: G.edges(data=True)
Out[9]: [(1, 2, {'color': 'green'})]
MultiGraphs 有一个额外级别的键来跟踪平行边，因此它的工作方式略有不同.如果您没有明确设置键 MultiGraph.add_edge() 将使用内部选择的键(顺序整数)添加新边.
With MultiGraphs there is an additional level of keys to keep track of the parallel edges so it works a little differently. If you don't explicitly set a key MultiGraph.add_edge() will add a new edge with an internally chosen key (sequential integers).
In [1]: import networkx as nx
In [2]: G = nx.MultiGraph()
In [3]: G.add_edge(1,2,color='red')
In [4]: G.edges(data=True)
Out[4]: [(1, 2, {'color': 'red'})]
In [5]: G.add_edge(1,2,color='blue')
In [6]: G.edges(data=True)
Out[6]: [(1, 2, {'color': 'red'}), (1, 2, {'color': 'blue'})]
In [7]: G.edges(data=True,keys=True)
Out[7]: [(1, 2, 0, {'color': 'red'}), (1, 2, 1, {'color': 'blue'})]
In [8]: G.add_edge(1,2,key=0,color='blue')
In [9]: G.edges(data=True,keys=True)
Out[9]: [(1, 2, 0, {'color': 'blue'}), (1, 2, 1, {'color': 'blue'})]
In [10]: G[1][2]
Out[10]: {0: {'color': 'blue'}, 1: {'color': 'blue'}}
In [11]: G[1][2][0]['color']='green'
In [12]: G.edges(data=True,keys=True)
Out[12]: [(1, 2, 0, {'color': 'green'}), (1, 2, 1, {'color': 'blue'})]
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