Created
February 18, 2015 18:26
-
-
Save theengineear/555434888dc02a891b1c to your computer and use it in GitHub Desktop.
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
{ | |
"metadata": { | |
"name": "", | |
"signature": "sha256:d5b549f8fed1548363e59b74dd75395e5c306205363119c8539e8e360fdb16b7" | |
}, | |
"nbformat": 3, | |
"nbformat_minor": 0, | |
"worksheets": [ | |
{ | |
"cells": [ | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"import networkx as nx\n", | |
"\n", | |
"import plotly.plotly as py\n", | |
"from plotly.graph_objs import *" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [], | |
"prompt_number": 1 | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"G=nx.random_geometric_graph(200,0.125)" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [], | |
"prompt_number": 2 | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"# add the edges in as disconnected lines in a single trace\n", | |
"edge_trace = Scatter(x=[], y=[], mode='lines')\n", | |
"for edge in G.edges():\n", | |
" x0, y0 = G.node[edge[0]]['pos']\n", | |
" x1, y1 = G.node[edge[1]]['pos']\n", | |
" edge_trace['x'] += [x0, x1, None]\n", | |
" edge_trace['y'] += [y0, y1, None]\n", | |
"\n", | |
"# add the nodes in as a scatter\n", | |
"node_trace = Scatter(x=[], y=[], mode='markers', marker=Marker(size=[]))\n", | |
"for node in G.nodes():\n", | |
" x, y = G.node[node]['pos']\n", | |
" node_trace['x'].append(x)\n", | |
" node_trace['y'].append(y)\n", | |
"\n", | |
"# size the node points by the number of connections\n", | |
"for node, adjacencies in enumerate(G.adjacency_list()):\n", | |
" node_trace['marker']['size'].append(len(adjacencies))" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [], | |
"prompt_number": 3 | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"# create a figure so we can customize a couple more things\n", | |
"fig = Figure(data=Data([edge_trace, node_trace]),\n", | |
" layout=Layout(title='random geometric graph from networkx', plot_bgcolor=\"rgb(217, 217, 217)\",\n", | |
" showlegend=False, xaxis=XAxis(showgrid=False, zeroline=False, showticklabels=False),\n", | |
" yaxis=YAxis(showgrid=False, zeroline=False, showticklabels=False)))\n", | |
"\n", | |
"# send the figure to Plotly and embed an iframe in this notebook\n", | |
"py.iplot(fig, filename='networkx')" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"html": [ | |
"<iframe id=\"igraph\" scrolling=\"no\" style=\"border:none;\"seamless=\"seamless\" src=\"https://plot.ly/~theengineear/2801.embed\" height=\"525\" width=\"100%\"></iframe>" | |
], | |
"metadata": {}, | |
"output_type": "pyout", | |
"prompt_number": 4, | |
"text": [ | |
"<plotly.tools.PlotlyDisplay at 0x106bf9cd0>" | |
] | |
} | |
], | |
"prompt_number": 4 | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [] | |
} | |
], | |
"metadata": {} | |
} | |
] | |
} |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment