如何使用文本文件中的 networkx 创建图形？

Question

我有一个这样的文本文件：

node1  node2  weight
1      2      3
1      4      4
3      6      1
3      7      5
....
....

我想使用 networkx 创建一个有向图，然后计算每个节点的度数和权重。

import networkx as net
import urllib
import csv
g = net.Graph()
f1 = csv.reader(open("graphdata.txt","rb"))
for x,y,z in f1: 
    g.add_nodes_from(x,y,z)

报错。任何人都可以帮助我如何构建图形计算每个节点的权重和度数？

Answer 1

您要做的第一件事是注释文件中的任何描述性数据。默认情况下，Networkx 将任何以 # 开头的行视为注释。

# node1 node2 weight
1 2 3

...

import networkx as net
FielName="GraphData.txt"
Graphtype=net.DiGraph()   # use net.Graph() for undirected graph

# How to read from a file. Note: if your egde weights are int, 
# change float to int.
G = net.read_edgelist(
    FielName, 
    create_using=Graphtype,
    nodetype=int,
    data=(('weight',float),)
)

# Find the total number of degree, in_degree and out_degree for each node
for x in G.nodes():
    print(
        "Node: ", x, " has total #degree: ",G.degree(x),
        " , In_degree: ", G.out_degree(x),
        " and out_degree: ", G.in_degree(x)
    )

# Find the weight for each node
for u,v in G.edges():
      print ("Weight of Edge ("+str(u)+","+str(v)+")", G.get_edge_data(u,v))

我推荐你阅读Reading and writing graphs in Networkx and have a look to read_edgelist

如何使用文本文件中的 networkx 创建图形？

how to create graph using networkx from text file?

networkx

python-2.7