{
 "cells": [
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   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
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   "source": [
    "\n",
    "\n",
    "import plotly.plotly as py\n",
    "from plotly.graph_objs import *\n",
    "\n",
    "import networkx as nx\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "\n",
    "\n",
    "G=nx.random_geometric_graph(200,0.125)\n",
    "pos=nx.get_node_attributes(G,'pos')\n",
    "\n",
    "dmin=1\n",
    "ncenter=0\n",
    "for n in pos:\n",
    "    x,y=pos[n]\n",
    "    d=(x-0.5)**2+(y-0.5)**2\n",
    "    if d<dmin:\n",
    "        ncenter=n\n",
    "        dmin=d\n",
    "        \n",
    "p=nx.single_source_shortest_path_length(G,ncenter)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "edge_trace = Scatter(\n",
    "    x=[], \n",
    "    y=[], \n",
    "    line=Line(width=0.5,color='#888'),\n",
    "    hoverinfo='none',\n",
    "    mode='lines')\n",
    "\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",
    "node_trace = Scatter(\n",
    "    x=[], \n",
    "    y=[], \n",
    "    text=[],\n",
    "    mode='markers', \n",
    "    hoverinfo='text',\n",
    "    marker=Marker(\n",
    "        showscale=True,\n",
    "        # colorscale options\n",
    "        # 'Greys' | 'Greens' | 'Bluered' | 'Hot' | 'Picnic' | 'Portland' |\n",
    "        # Jet' | 'RdBu' | 'Blackbody' | 'Earth' | 'Electric' | 'YIOrRd' | 'YIGnBu'\n",
    "        colorscale='YIGnBu',\n",
    "        reversescale=True,\n",
    "        color=[], \n",
    "        size=10,         \n",
    "        colorbar=dict(\n",
    "            thickness=15,\n",
    "            title='Node Connections',\n",
    "            xanchor='left',\n",
    "            titleside='right'\n",
    "        ),\n",
    "        line=dict(width=2)))\n",
    "\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)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "ename": "AttributeError",
     "evalue": "'Graph' object has no attribute 'adjacency_list'",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-6-9c2f9ebe4ba9>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n\u001b[0;32m      1\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      2\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 3\u001b[1;33m \u001b[1;32mfor\u001b[0m \u001b[0mnode\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0madjacencies\u001b[0m \u001b[1;32min\u001b[0m \u001b[0menumerate\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mG\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0madjacency_list\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m      4\u001b[0m     \u001b[0mnode_trace\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'marker'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'color'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mlen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0madjacencies\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      5\u001b[0m     \u001b[0mnode_info\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;34m'# of connections: '\u001b[0m\u001b[1;33m+\u001b[0m\u001b[0mstr\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mlen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0madjacencies\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mAttributeError\u001b[0m: 'Graph' object has no attribute 'adjacency_list'"
     ]
    }
   ],
   "source": [
    "\n",
    "\n",
    "for node, adjacencies in enumerate(G.adjacency_list()):\n",
    "    node_trace['marker']['color'].append(len(adjacencies))\n",
    "    node_info = '# of connections: '+str(len(adjacencies))\n",
    "    node_trace['text'].append(node_info)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<iframe id=\"igraph\" scrolling=\"no\" style=\"border:none;\" seamless=\"seamless\" src=\"https://plot.ly/~takanori/182.embed\" height=\"650px\" width=\"650px\"></iframe>"
      ],
      "text/plain": [
       "<plotly.tools.PlotlyDisplay object>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fig = Figure(data=Data([edge_trace, node_trace]),\n",
    "             layout=Layout(\n",
    "                title='<br>Network graph made with Python',\n",
    "                titlefont=dict(size=16),\n",
    "                showlegend=False, \n",
    "                width=650,\n",
    "                height=650,\n",
    "                hovermode='closest',\n",
    "                margin=dict(b=20,l=5,r=5,t=40),\n",
    "                annotations=[ dict(\n",
    "                    text=\"Python code: <a href='https://plot.ly/ipython-notebooks/network-graphs/'> https://plot.ly/ipython-notebooks/network-graphs/</a>\",\n",
    "                    showarrow=False,\n",
    "                    xref=\"paper\", yref=\"paper\",\n",
    "                    x=0.005, y=-0.002 ) ],\n",
    "                xaxis=XAxis(showgrid=False, zeroline=False, showticklabels=False),\n",
    "                yaxis=YAxis(showgrid=False, zeroline=False, showticklabels=False)))\n",
    "\n",
    "py.iplot(fig, filename='plotly-demo/networkx')"
   ]
  }
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