Metadata-Version: 1.0
Name: sonnet
Version: 0.1.0
Summary: UNKNOWN
Home-page: myurl
Author: David Michael Brown
Author-email: davidmichaelbrown1@gmail.com
License: MIT
Description: ========================
        Sonnet J(SON + Net)workX
        ========================
        
        Sonnet wraps a NetworkX graph and produces detailed JSON output for use with JavaScript to produce detailed graph visualizations in the browser.
        
        Getting Started
        ===============
        
        Install Sonnet::
        
        	pip install sonnet
        
        Build a NetworkX graph::
        	
        	import networkx as nx
        
        	g = nx.gnp_random_graph(200, 0.5)
        
        Wrap it with Sonnet::
        
        	import sonnet as sn
        
        	s = sn.Sonnet(g)
        
        Build stats directly into node directory using modified NetworkX algorithms. Currently available: degree, degree_centrality, in_degree_centrality, out_degree_centrality, closeness_centrality, betweenness_centrality, eigenvector_centrality::
        
        	s.betweenness_centrality()
        
        	s.nodes()
        
        	[{'betweenness_centrality': 0.2222222222222222, 'id': 0},
        	 {'betweenness_centrality': 0.2152777777777778, 'id': 1},
        	 {'betweenness_centrality': 0.006944444444444444, 'id': 2},
        	 {'betweenness_centrality': 0.39814814814814814, 'id': 3},
        	 {'betweenness_centrality': 0.11805555555555555, 'id': 4},
        	 {'betweenness_centrality': 0.020833333333333332, 'id': 5},
        	 {'betweenness_centrality': 0.06944444444444445, 'id': 6},
        	 {'betweenness_centrality': 0.0, 'id': 7},
        	 {'betweenness_centrality': 0.018518518518518517, 'id': 8},
        	 {'betweenness_centrality': 0.041666666666666664, 'id': 9}]
        
        Find communities and assign nodes to group based on community::
        
        	s.find_communities()
        
        Rank node size by nodes by attribute::
        
        	s.rank_nodes(attr='betweenness_centrality')
        
        Now we have a nodes with lots of relevant data::
        
        
        Produce JSON data::
        
        	json_graph = s.jsonify()
        
        
        D3Graph
        =======
        
        D3Graph is designed to produce JSON output for D3.js graphs. It works just like Sonnet, but it has extra attributes set at during init.
        
        Compare::
        
        	s = sn.Sonnet()
        
        	vars(s)
        
        	d = ns.D3Graph()
        
        	vars(d)
        
Keywords: networkx json graph javascript D3
Platform: UNKNOWN
