如何在Python中使用NetworkX使用一个元组列表构建一个图?

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英文:

How to construct a graph using a list of tuples in python in networkX?

问题

我试图从存储在变量中的元组列表中创建一个图。我找到了使用元组列表创建图的方法G.add_edges_from(e),但问题是这不起作用,当我尝试例如打印图时,它返回None。我感谢解决我的问题的答案。我使用以下代码创建图:

import networkx as nx

e = [(1,2),(1,3),(2,3)]
G = nx.Graph()
g1 = G.add_edges_from(e)
print(g1)

更新:
我测试了这段代码,但在尝试打印时仍然返回None:

e = [[(1,2),(1,3),(2,3)],[(10,20),(10,30),(20,30)]]
graph_list = []
for i in e:
    graph_list.append(nx.Graph().add_edges_from(i))

print(graph_list[0].nodes)
英文:

I am trying to make a graph from a list of tuples stored in a variable. I found G.add_edges_from(e) for making graph using list of tuples. but the problem is that this does not work and when i try to for example print the graph it returns None. I appreciate answers that solve my problem. I use the code below to make the graph:

import networkx as nx

e = [(1,2),(1,3),(2,3)]
G = nx.Graph()
g1 = G.add_edges_from(e)
print(g1)

Update:
I testes this code but again give None when trying to print:

e = [[(1,2),(1,3),(2,3)],[(10,20),(10,30),(20,30)]]
graph_list = []
for i in e:
    graph_list.append(nx.Graph().add_edges_from(i))

print(graph_list[0].nodes)

答案1

得分: 3

让我们分析一下,好吗?
你将边的列表赋值给了e,然后用G创建了一个图。
然而,你的问题是,你试图将g1分配给add_edges_from方法返回的内容(这是None)。
你实际想要的是这样的:

import networkx as nx

e = [(1,2),(1,3),(2,3)]
G = nx.Graph()
G.add_edges_from(e)
print(G)

由于add_edges_from方法返回None,它是按预期工作的,你应该尝试打印你的原始图。希望这可以帮助你理清情况!

编辑:
如果你坚持只使用元组列表,你可以不使用变量。使用列表来存储图对象,将它们在循环中存储如下:

e = [[(1,2),(1,3),(2,3)],[(10,20),(10,30),(20,30)]]
graph_list = []
for i in e:
    G = nx.Graph()
    G.add_edges_from(i)
    graph_list.append(G)

print(graph_list[0].nodes)
print(graph_list[1].nodes)

然后,你可以使用索引来获取你制作的每个特定图(它们将分别存储在列表中)。

或者,你可能想要开始将每个图倾倒到一个JSON文件中(在这里回答)。

这可以解决你的RAM问题。

英文:

Let's break it down shall we?
You assigned a list of edges in e, then you made a graph with G.
However, your issue is you're trying to assign g1 to what the method add_edges_from returns (which is None).
What you actually want is something like this:

import networkx as nx

e = [(1,2),(1,3),(2,3)]
G = nx.Graph()
G.add_edges_from(e)
print(G)

Since the add_edges_from method returns None it is working as intended, you should try printing your original graph instead. I hope this helps and clarifies things for you!

Edit:
If you insist on just using the list of tuples, you can just do away with variables. Use lists to store graph objects instead, keep storing them in a loop as such:

e = [[(1,2),(1,3),(2,3)],[(10,20),(10,30),(20,30)]]
graph_list = []
for i in e:
    G = nx.Graph()
    G.add_edges_from(i)
    graph_list.append(G)

print(graph_list[0].nodes)
print(graph_list[1].nodes)

Then you can use indices to get each specific graph you make (which would be stored separately in the list)

Or you might want to start dumping each graph in a json file ([answered here] (https://stackoverflow.com/questions/32133009/method-to-export-networkx-graph-to-json-graph-file))

Which can solve your RAM issue

huangapple
  • 本文由 发表于 2023年6月1日 18:41:27
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