将非数字元组转换为numpy矩阵 [英] Convert non-numeric tuples to numpy matrix

问题描述

我试图通过一个非常大的元组列表来表示一个邻接矩阵.如何使用numpy矩阵或scipy.sparse矩阵表示此列表，以便使用igraph或networkx之类的包?

I'm trying to represent an adjacency matrix via a very large list of tuples. How would I represent this list in a numpy matrix or scipy.sparse matrix so as to use a package like igraph or networkx?

[('b', 'c'),
 ('b', 'a'),
 ('c', 'd'),
 ('c', 'a'),
 ('c', 'b'),
 ('a', 'b'),
 ('a', 'c')]

如果这是重复的，我深表歉意，但是我找不到任何有关如何将非数字元组转换为邻接矩阵的文档.

I apologize if this is duplicate, but I can't find any documentation on how to convert non-numeric tuples into adjacency matrices.

推荐答案

NetworkX可以具有非数字节点.如果我正确理解了您的问题，则可以像下面这样轻松地在networkx图形中使用它:

NetworkX can have non-numeric nodes. If I'm understanding your question correctly, you can use it in a networkx graph as easily as this:

import networkx as nx
g = nx.Graph([('a', 'b'), ('c', 'd'), ...])

您是在问如何将其转换为scipy.sparse或numpy矩阵吗?还是要与graph和networkx一起使用?

Are you asking how to convert that to a scipy.sparse or numpy matrix? Or do you want it for use with graph and networkx?

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