更改Networkx Multigraph中的边属性 [英] Changing edge attributes in networkx multigraph

问题描述

在多图中，每次对* add_edge(a，b，weight = 1)*的调用都会在节点 a 和 b 之间添加新边.构建图形时，可以在再次找到 a 和 b 时修改此权重.现在，我进行检查以查找(a，b)或(b，a)是否已连接，然后必须删除边缘，并 add 一个新的边缘.在我看来，我应该可以轻松更新体重.

In a multigraph each call to *add_edge(a,b,weight=1)* will add a new edge between nodes a and b. When building the graph, is it possible to modify this weight when a and b are found again. Right now I make a check to find whether (a, b) or (b, a) are connected, then have to delete the edge, and add a new one. It seems to me that I should simply be able to update the weight.

注意:我确实需要多图，因为我在节点之间使用不同类型的边(使用 key 进行区分)

Note: I do need multigraphs because I use different types of edges between nodes (differentiated using key)

推荐答案

Multigraph.add_edge 文档指示您应使用key参数来唯一标识多图中的边.这是一个示例:

The Multigraph.add_edge documentation indicates that you should use the key argument to uniquely identify edges in a multigraph. Here's an example:

>>> import networkx as nx
>>> G = nx.MultiGraph()
>>> G.add_edge(1, 2, key='xyz', weight=2)
>>> G.add_edge(1, 2, key='abc', weight=1)
>>> G.edges(data=True)
[(1, 2, {'weight': 2}), (1, 2, {'weight': 1})]

现在，要更新由xyz键控的边，只需再次传入该参数即可:

Now, to update the edge keyed by xyz, just pass that parameter in again:

>>> G.add_edge(1, 2, key='xyz', weight=7)
>>> G.edges(data=True)
[(1, 2, {'weight': 7}), (1, 2, {'weight': 1})]

要读取先前的值，可以使用 get_edge_data 像这样:

To read the previous value, you can use get_edge_data like this:

>>> G.get_edge_data(1, 2, key='xyz')
{'weight': 7}

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