This is an python high-level interface to Christopher Gandrud's R package networkD3. It renders networkx graphs into HTML page containing a beautiful D3 visualization. Hence the name networkxD3 (shamelessly ripped from the original package networkD3), notice the x.

Requirements

• python and R both installed on the system.
• rpy2
• pandas
• networkx

Install

python setup.py install

Usage

import networkx as nx
from NetworkxD3 import simpleNetworkx

G = nx.Graph()
H = ["A","B","C","D","E","F","G", "H","I","J"]
G.add_nodes_from(H)
G.add_edges_from([("A","B"), ("A","C"), ("A","D"), ("A","J"), ("B","E"), ("B","F"),
("C","G"),("C","H"), ("D","I")])
  
simpleNetworkx(G)

This will create an HTML page Net.html which contains the interactive plot.

For a quick introduction to rpy2, check out this post on my blog.