使用網絡添加邊緣

Question

是否有任何簡單的方法在網絡中添加大量的邊緣x

我想添加列表中的邊緣。

Answer 1

假設通過「添加大量的邊緣在一起」你的意思是「將它們添加到圖」，從help(networkx.Graph)：

| **Edges:** 
| 
| G can also be grown by adding edges. 
| 
| Add one edge, 
| 
| >>> G.add_edge(1, 2) 
| 
| a list of edges, 
| 
| >>> G.add_edges_from([(1,2),(1,3)]) 

所以：

>>> import networkx as nx 
>>> g = nx.Graph() 
>>> g.add_edges_from([(0,4),(1,2),(2,3)]) 
>>> g 
<networkx.classes.graph.Graph object at 0x1004b58d0> 
>>> g.edges() 
[(0, 4), (1, 2), (2, 3)] 

我肯定會推薦養成閱讀交互式文檔的習慣。我使用的是IPython，所以我只需要快速查看可用的方法即可製作圖形g，然後鍵入g.[TAB]。這提出了一個清單，g.add_edges_from是＃3。

OTOH，如果你只是想添加邊的兩個列表放在一起，你也可以這樣做：

>>> g0.edges() + g1.edges() 
[(1, 2), (2, 3), (3, 4), (1, 2), (2, 3), (3, 4), (5, 6)] 
>>> set(g0.edges() + g1.edges()) 
set([(1, 2), (3, 4), (5, 6), (2, 3)]) 

Answer 2

通常的圖形數據存儲在一個文件，這使得它很容易與熊貓據幀閱讀。例如，考慮構建一個seventh grader network的圖。我們可以初始化我們的圖形如下：

import pandas as pd 
import networkx as nx 

#read the edge list 
edges = pd.read_csv('./data/moreno_seventh/out.moreno_seventh_seventh', skiprows=2, sep = " ", header=None) 
edges.columns = ['student1', 'student2', 'count'] 

#read node metadata 
meta =pd.read_csv('./data/moreno_seventh/ent.moreno_seventh_seventh.student.gender', header=None) 
meta.index += 1 
meta.columns = ['gender'] 

#construct the graph 
G = nx.DiGraph() 
for row in edges.iterrows(): 
    G.add_edge(row[1]['student1'], row[1]['student2'], count=row[1]['count']) 

#add meta data 
for i in G.nodes(): 
    G.node[i]['gender'] = meta.ix[i]['gender']