notebook.community

Edit and run



In [3]:

    
%pylab inline
%matplotlib inline









    



Populating the interactive namespace from numpy and matplotlib



In [2]:

    
import numpy as np
import networkx as nx



In [5]:



In [6]:

    
G = nx.Graph()
G.add_path([0,1,2,3])
nx.draw(G)



In [8]:

    
G.add_path([10,11,12],weight=7)
nx.draw(G)



In [10]:

    
G = nx.Graph()
G.add_star([0,1,2,3])
nx.draw(G)

Iterating through Nodes



In [13]:

    
G = nx.Graph()
G.add_path([0,1,2])
[n for n in G.nodes_iter()]









    Out[13]:





[0, 1, 2]



In [15]:

    
#Dictionary of the nodes
[d for n,d in G.nodes_iter(data=True)]









    Out[15]:





[{}, {}, {}]

Neighbors



In [6]:

    
ex = nx.MultiDiGraph()
ex.add_nodes_from(['a','b','c','d','e','f','g','h','i','j','k','l','d1','d2','d3','d4','v1','v2','v3','v4'])
ex.add_edges_from([('a','c'),('b','c'),('b','d'),('b','d1'),('d','f'),('c','e'),('d','e'),('e','g')])
ex.add_edges_from([('e', 'd2'), ('f', 'd2'), ('f', 'h'), ('h', 'j'), ('h', 'k'), ('k', 'v3'), ('j', 'v3')])
ex.add_edges_from([('d4','l'), ('l', 'v4'), ('i', 'l')])

ex.add_edges_from([('d1','d'), ('d1', 'v1'), ('d2', 'i'), ('d2', 'd3'), ('d3', 'd4'), ('d4', 'l')])
nx.draw(ex)



In [9]:

    
ex.neighbors('e')









    Out[9]:





['d2', 'g']



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