Skip to main content

UNKNOWN

Project 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(20, 0.5)

Wrap it with Sonnet::

import sonnet as sn

s = sn.Sonnet(g, name='An Awesome Graph')

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()

Find communities and assign nodes to group based on community::

s.find_communities()

Rank node size by nodes by attribute::

s.rank_nodes(rank_by='betweenness_centrality')

Now we have a nodes with lots of relevant data::

Produce JSON data (example data reduced for readability)::

s.jsonify()

'{
"directed": false,
"name": "An Awesome Graph",
"links": [
{
"source": 4,
"target": 8
},
{
"source": 5,
"target": 7
},
{
"source": 6,
"target": 8
},
],
"multigraph": false,
"graph": [
[
"name",
"gnp_random_graph(10,0.5)"
]
],
"nodes": [
{
"betweenness_centrality_ranking": 2.7258064516129035,
"community": 2,
"id": 0,
"betweenness_centrality": 0.04953703703703703
},
{
"betweenness_centrality_ranking": 1,
"community": 1,
"id": 1,
"betweenness_centrality": 0.0
},
{
"betweenness_centrality_ranking": 4.580645161290322,
"community": 1,
"id": 2,
"betweenness_centrality": 0.10277777777777775
},
{
"betweenness_centrality_ranking": 6.0,
"community": 2,
"id": 3,
"betweenness_centrality": 0.1435185185185185
},
]
}'


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(g)

vars(s)

{'color_by': 'community',
'graph': <networkx.classes.graph.Graph at 0x1726210>,
'max_node_size': 6,
'min_node_size': 1,
'name': None,
'rank_by': 'degree_centrality'}

d = ns.D3Graph()

vars(d)

{'charge': -150,
'color_by': 'community',
'graph': <networkx.classes.graph.Graph at 0x1726210>,
'gravity': 0.06,
'height': 800,
'link_distance': 40,
'max_node_size': 6,
'min_node_size': 1,
'name': None,
'rank_by': 'degree_centrality',
'width': 1280}

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

sonnet-0.1.3.tar.gz (10.9 kB view details)

Uploaded Source

File details

Details for the file sonnet-0.1.3.tar.gz.

File metadata

  • Download URL: sonnet-0.1.3.tar.gz
  • Upload date:
  • Size: 10.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for sonnet-0.1.3.tar.gz
Algorithm Hash digest
SHA256 e7acdf1363a14d9373ad84085b48860ed705bc667489011db383165c125622ae
MD5 b12861f44460549b38d7cdf7c53a6ae3
BLAKE2b-256 197d968cc3b62568f1e00a8b6777052ebb2e31b72c57dc01ddf97d400d2be022

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page