nb-6-abba-baba.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Canarium GBS: ABBA-BABA analyses\n",
    "### *Federman et al.*\n",
    "\n",
    "This notebook provides all code necessary to reproduce the ABBA-BABA analyses used in Federman et al. (xxxx). All code in this notebook is written in Python."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Required software"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "## conda install ipyrad -c ipyrad\n",
    "## conda install toytree -c eaton-lab"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Imports"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ipyrad v.0.7.23\n"
     ]
    }
   ],
   "source": [
    "import toytree\n",
    "import toyplot.svg\n",
    "import ipyrad as ip\n",
    "import ipyrad.analysis as ipa\n",
    "print \"ipyrad v.{}\".format(ip.__version__)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Connect to cluster"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "host compute node: [40 cores] on sacra\n"
     ]
    }
   ],
   "source": [
    "import ipyparallel as ipp\n",
    "ipyclient = ipp.Client()\n",
    "ip.cluster_info(ipyclient)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## ABBA-BABA tests"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "## load input files\n",
    "locifile = \"./analysis-ipyrad/Canarium-min10_outfiles/Canarium-min10.loci\"\n",
    "newick = \"./analysis-raxml/RAxML_bestTree.Canarium-min10\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "## make clade lists for setting up tests easily\n",
    "clade1A = [\"SF328\", \"SF200\", \"SF175\"]\n",
    "clade1B = [\"SF209\", \"D13052\"]\n",
    "clade1C = [\"SF172\", \"D14528\", \"SF286\", \"SF276\"]\n",
    "clade1 = clade1A + clade1B + clade1C\n",
    "\n",
    "clade2A = [\"D14482\", \"D14483\", \"D13103\", \"D13101\"]\n",
    "clade2B = [\"D14504\", \"D14505\", \"D14506\"]\n",
    "clade2C = [\"D14501\", \"D14513\", \"D14480\", \"D14485\", \"D14477\", \"D14478\"]\n",
    "clade2 = clade2A + clade2B + clade2C\n",
    "\n",
    "clade3X = [\"D12963\"]\n",
    "clade3A = [\"D13090\", \"D12950\"]\n",
    "clade3B = [\"SF155\", \"5573\", \"SF327\", \"SF228\", \"SF224\"]\n",
    "clade3C = [\"SF164\", \"SF153\", \"SF160\", \"D13097\", \"SF197\", \"D13075\", \"D13053\", \"D13063\"]\n",
    "clade3 = clade3A + clade3B + clade3C\n",
    "\n",
    "outgroups = [\"D13852\", \"SFC1988\", \"D14269\", \"D13374\"]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Question 1: Is SF172 a hybrid?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[####################] 100%  calculating D-stats  | 0:00:38 |  \n"
     ]
    },
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>dstat</th>\n",
       "      <th>bootmean</th>\n",
       "      <th>bootstd</th>\n",
       "      <th>Z</th>\n",
       "      <th>ABBA</th>\n",
       "      <th>BABA</th>\n",
       "      <th>nloci</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>-0.575</td>\n",
       "      <td>-0.575</td>\n",
       "      <td>0.014</td>\n",
       "      <td>41.321</td>\n",
       "      <td>386.765</td>\n",
       "      <td>1432.762</td>\n",
       "      <td>43331</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   dstat  bootmean  bootstd       Z     ABBA      BABA  nloci\n",
       "0 -0.575    -0.575    0.014  41.321  386.765  1432.762  43331"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "q1 = ipa.baba(data=locifile, newick=newick)\n",
    "q1.tests = [{\n",
    "    \"p4\": outgroups,\n",
    "    \"p3\": clade3 + clade3X, \n",
    "    \"p2\": clade1A + clade1B,\n",
    "    \"p1\": [\"SF172\"],\n",
    "}]\n",
    "q1.run(ipyclient)\n",
    "q1.results_table"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Question 2: Admixture between clades 1 and 3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[####################] 100%  calculating D-stats  | 0:00:53 |  \n"
     ]
    },
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>dstat</th>\n",
       "      <th>bootmean</th>\n",
       "      <th>bootstd</th>\n",
       "      <th>Z</th>\n",
       "      <th>ABBA</th>\n",
       "      <th>BABA</th>\n",
       "      <th>nloci</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>-0.072</td>\n",
       "      <td>-0.072</td>\n",
       "      <td>0.014</td>\n",
       "      <td>5.042</td>\n",
       "      <td>1375.145</td>\n",
       "      <td>1587.853</td>\n",
       "      <td>59670</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   dstat  bootmean  bootstd      Z      ABBA      BABA  nloci\n",
       "0 -0.072    -0.072    0.014  5.042  1375.145  1587.853  59670"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "q2 = ipa.baba(data=locifile, newick=newick)\n",
    "q2.tests = [{\n",
    "    \"p4\": outgroups,\n",
    "    \"p3\": list(set(clade1) - set([\"SF172\"])), \n",
    "    \"p2\": clade2, \n",
    "    \"p1\": clade3 + clade3X, \n",
    "    }]\n",
    "q2.run(ipyclient)\n",
    "q2.results_table"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Question 3: Admixture between clades 1 & 3 geographic"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[####################] 100%  calculating D-stats  | 0:00:43 |  \n"
     ]
    },
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>dstat</th>\n",
       "      <th>bootmean</th>\n",
       "      <th>bootstd</th>\n",
       "      <th>Z</th>\n",
       "      <th>ABBA</th>\n",
       "      <th>BABA</th>\n",
       "      <th>nloci</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>-0.018</td>\n",
       "      <td>-0.019</td>\n",
       "      <td>0.028</td>\n",
       "      <td>0.662</td>\n",
       "      <td>380.611</td>\n",
       "      <td>394.906</td>\n",
       "      <td>50799</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.010</td>\n",
       "      <td>0.010</td>\n",
       "      <td>0.024</td>\n",
       "      <td>0.415</td>\n",
       "      <td>608.591</td>\n",
       "      <td>596.399</td>\n",
       "      <td>51984</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   dstat  bootmean  bootstd      Z     ABBA     BABA  nloci\n",
       "0 -0.018    -0.019    0.028  0.662  380.611  394.906  50799\n",
       "1  0.010     0.010    0.024  0.415  608.591  596.399  51984"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "q3 = ipa.baba(data=locifile, newick=newick)\n",
    "q3.tests = [\n",
    "    {\n",
    "    \"p4\": outgroups,\n",
    "    \"p3\": list(set(clade1) - set([\"SF172\"])), \n",
    "    \"p2\": list(set(clade3C) - set([\"D13097\"])),\n",
    "    \"p1\": [\"D13097\"], \n",
    "    },\n",
    "    {\n",
    "    \"p4\": outgroups,\n",
    "    \"p3\": list(set(clade1) - set([\"SF172\"])), \n",
    "    \"p2\": list(set(clade3B) - set([\"D13097\"])),\n",
    "    \"p1\": [\"D13097\"], \n",
    "    },\n",
    "]\n",
    "q3.run(ipyclient)\n",
    "q3.results_table"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Question 4: Admixture into clade 3 (3A, 3B, 3C comparison)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[####################] 100%  calculating D-stats  | 0:00:58 |  \n"
     ]
    },
    {
     "data": {
      "text/html": [
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       "      <th></th>\n",
       "      <th>dstat</th>\n",
       "      <th>bootmean</th>\n",
       "      <th>bootstd</th>\n",
       "      <th>Z</th>\n",
       "      <th>ABBA</th>\n",
       "      <th>BABA</th>\n",
       "      <th>nloci</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>-0.041</td>\n",
       "      <td>-0.040</td>\n",
       "      <td>0.026</td>\n",
       "      <td>1.566</td>\n",
       "      <td>521.038</td>\n",
       "      <td>565.147</td>\n",
       "      <td>32453</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>-0.088</td>\n",
       "      <td>-0.089</td>\n",
       "      <td>0.015</td>\n",
       "      <td>5.851</td>\n",
       "      <td>1265.351</td>\n",
       "      <td>1511.058</td>\n",
       "      <td>57566</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>-0.066</td>\n",
       "      <td>-0.066</td>\n",
       "      <td>0.015</td>\n",
       "      <td>4.346</td>\n",
       "      <td>1264.598</td>\n",
       "      <td>1444.093</td>\n",
       "      <td>57496</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>-0.077</td>\n",
       "      <td>-0.077</td>\n",
       "      <td>0.014</td>\n",
       "      <td>5.539</td>\n",
       "      <td>1358.093</td>\n",
       "      <td>1584.447</td>\n",
       "      <td>59287</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   dstat  bootmean  bootstd      Z      ABBA      BABA  nloci\n",
       "0 -0.041    -0.040    0.026  1.566   521.038   565.147  32453\n",
       "1 -0.088    -0.089    0.015  5.851  1265.351  1511.058  57566\n",
       "2 -0.066    -0.066    0.015  4.346  1264.598  1444.093  57496\n",
       "3 -0.077    -0.077    0.014  5.539  1358.093  1584.447  59287"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "q4 = ipa.baba(data=locifile, newick=newick)\n",
    "q4.tests = [{\n",
    "    \"p4\": outgroups,\n",
    "    \"p3\": list(set(clade1) - set([\"SF172\"])), \n",
    "    \"p2\": clade2,\n",
    "    \"p1\": clade, \n",
    "    } for clade in [clade3A, clade3B, clade3C, clade3B + clade3C]]\n",
    "q4.run(ipyclient)\n",
    "q4.results_table"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Question 5: Admixture between clades 2A and 2B or 2C"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[####################] 100%  calculating D-stats  | 0:00:43 |  \n"
     ]
    },
    {
     "data": {
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>dstat</th>\n",
       "      <th>bootmean</th>\n",
       "      <th>bootstd</th>\n",
       "      <th>Z</th>\n",
       "      <th>ABBA</th>\n",
       "      <th>BABA</th>\n",
       "      <th>nloci</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>-0.085</td>\n",
       "      <td>-0.084</td>\n",
       "      <td>0.017</td>\n",
       "      <td>4.932</td>\n",
       "      <td>985.638</td>\n",
       "      <td>1168.777</td>\n",
       "      <td>50034</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.105</td>\n",
       "      <td>0.104</td>\n",
       "      <td>0.028</td>\n",
       "      <td>3.712</td>\n",
       "      <td>369.301</td>\n",
       "      <td>299.112</td>\n",
       "      <td>26788</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.113</td>\n",
       "      <td>0.113</td>\n",
       "      <td>0.020</td>\n",
       "      <td>5.680</td>\n",
       "      <td>620.334</td>\n",
       "      <td>494.679</td>\n",
       "      <td>36498</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.043</td>\n",
       "      <td>0.043</td>\n",
       "      <td>0.050</td>\n",
       "      <td>0.867</td>\n",
       "      <td>134.177</td>\n",
       "      <td>122.993</td>\n",
       "      <td>19236</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>-0.028</td>\n",
       "      <td>-0.028</td>\n",
       "      <td>0.042</td>\n",
       "      <td>0.657</td>\n",
       "      <td>141.597</td>\n",
       "      <td>149.623</td>\n",
       "      <td>20053</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   dstat  bootmean  bootstd      Z     ABBA      BABA  nloci\n",
       "0 -0.085    -0.084    0.017  4.932  985.638  1168.777  50034\n",
       "1  0.105     0.104    0.028  3.712  369.301   299.112  26788\n",
       "2  0.113     0.113    0.020  5.680  620.334   494.679  36498\n",
       "3  0.043     0.043    0.050  0.867  134.177   122.993  19236\n",
       "4 -0.028    -0.028    0.042  0.657  141.597   149.623  20053"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "q5 = ipa.baba(data=locifile, newick=newick)\n",
    "q5.tests = [\n",
    "    {\n",
    "    \"p4\": outgroups,\n",
    "    \"p3\": clade2A, \n",
    "    \"p2\": clade2B,\n",
    "    \"p1\": clade2C,\n",
    "    }, \n",
    "    {\n",
    "    \"p4\": outgroups,\n",
    "    \"p3\": clade2A, \n",
    "    \"p2\": list(set(clade2C) - set([\"D14513\"])),\n",
    "    \"p1\": [\"D14513\"],\n",
    "    }, \n",
    "    {\n",
    "    \"p4\": outgroups,\n",
    "    \"p3\": clade2A, \n",
    "    \"p2\": list(set(clade2C) - set([\"D14513\", \"D14501\"])),\n",
    "    \"p1\": [\"D14513\", \"D14501\"],\n",
    "    }, \n",
    "    {\n",
    "    \"p4\": outgroups, \n",
    "    \"p3\": clade2B, \n",
    "    \"p2\": [\"D14483\", \"D14482\"],\n",
    "    \"p1\": [\"D13101\", \"D13103\"],\n",
    "    },\n",
    "    {\n",
    "    \"p4\": outgroups, \n",
    "    \"p3\": clade2C, \n",
    "    \"p2\": [\"D14483\", \"D14482\"],\n",
    "    \"p1\": [\"D13101\", \"D13103\"],\n",
    "    },\n",
    "]\n",
    "q5.run(ipyclient)\n",
    "q5.results_table"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Question 6: Admixture between clades 2B and 2C"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "50 tests generated from tree\n",
      "[####################] 100%  calculating D-stats  | 0:01:44 |  \n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>dstat</th>\n",
       "      <th>bootmean</th>\n",
       "      <th>bootstd</th>\n",
       "      <th>Z</th>\n",
       "      <th>ABBA</th>\n",
       "      <th>BABA</th>\n",
       "      <th>nloci</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>-0.260</td>\n",
       "      <td>-0.261</td>\n",
       "      <td>0.021</td>\n",
       "      <td>12.352</td>\n",
       "      <td>407.642</td>\n",
       "      <td>694.587</td>\n",
       "      <td>32234</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.233</td>\n",
       "      <td>0.233</td>\n",
       "      <td>0.019</td>\n",
       "      <td>11.979</td>\n",
       "      <td>719.430</td>\n",
       "      <td>447.241</td>\n",
       "      <td>33055</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.236</td>\n",
       "      <td>0.236</td>\n",
       "      <td>0.020</td>\n",
       "      <td>11.913</td>\n",
       "      <td>716.248</td>\n",
       "      <td>442.405</td>\n",
       "      <td>32955</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>-0.236</td>\n",
       "      <td>-0.236</td>\n",
       "      <td>0.020</td>\n",
       "      <td>11.897</td>\n",
       "      <td>442.405</td>\n",
       "      <td>716.248</td>\n",
       "      <td>32955</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>0.260</td>\n",
       "      <td>0.259</td>\n",
       "      <td>0.022</td>\n",
       "      <td>11.893</td>\n",
       "      <td>694.587</td>\n",
       "      <td>407.642</td>\n",
       "      <td>32234</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>-0.233</td>\n",
       "      <td>-0.232</td>\n",
       "      <td>0.020</td>\n",
       "      <td>11.853</td>\n",
       "      <td>447.241</td>\n",
       "      <td>719.430</td>\n",
       "      <td>33055</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>-0.229</td>\n",
       "      <td>-0.229</td>\n",
       "      <td>0.020</td>\n",
       "      <td>11.595</td>\n",
       "      <td>450.432</td>\n",
       "      <td>717.972</td>\n",
       "      <td>33016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.229</td>\n",
       "      <td>0.229</td>\n",
       "      <td>0.020</td>\n",
       "      <td>11.267</td>\n",
       "      <td>717.972</td>\n",
       "      <td>450.432</td>\n",
       "      <td>33016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>0.234</td>\n",
       "      <td>0.233</td>\n",
       "      <td>0.021</td>\n",
       "      <td>11.175</td>\n",
       "      <td>706.479</td>\n",
       "      <td>438.950</td>\n",
       "      <td>32776</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>-0.234</td>\n",
       "      <td>-0.234</td>\n",
       "      <td>0.021</td>\n",
       "      <td>10.898</td>\n",
       "      <td>438.950</td>\n",
       "      <td>706.479</td>\n",
       "      <td>32776</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    dstat  bootmean  bootstd       Z     ABBA     BABA  nloci\n",
       "17 -0.260    -0.261    0.021  12.352  407.642  694.587  32234\n",
       "0   0.233     0.233    0.019  11.979  719.430  447.241  33055\n",
       "4   0.236     0.236    0.020  11.913  716.248  442.405  32955\n",
       "13 -0.236    -0.236    0.020  11.897  442.405  716.248  32955\n",
       "8   0.260     0.259    0.022  11.893  694.587  407.642  32234\n",
       "9  -0.233    -0.232    0.020  11.853  447.241  719.430  33055\n",
       "11 -0.229    -0.229    0.020  11.595  450.432  717.972  33016\n",
       "2   0.229     0.229    0.020  11.267  717.972  450.432  33016\n",
       "6   0.234     0.233    0.021  11.175  706.479  438.950  32776\n",
       "15 -0.234    -0.234    0.021  10.898  438.950  706.479  32776"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "q6 = ipa.baba(data=locifile, newick=newick)\n",
    "q6.generate_tests_from_tree(\n",
    "    constraint_exact=[False, False, True, True],\n",
    "    constraint_dict={\n",
    "    \"p4\": outgroups,\n",
    "    \"p3\": clade2B,\n",
    "    \"p2\": clade2C,\n",
    "    \"p1\": clade2C,\n",
    "    })\n",
    "q6.run(ipyclient)\n",
    "q6.results_table.sort_values(by='Z', ascending=False).head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Question 7: Admixture between 2C and 3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "50 tests generated from tree\n",
      "[####################] 100%  calculating D-stats  | 0:02:00 |  \n"
     ]
    },
    {
     "data": {
      "text/html": [
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       "<style>\n",
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       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>dstat</th>\n",
       "      <th>bootmean</th>\n",
       "      <th>bootstd</th>\n",
       "      <th>Z</th>\n",
       "      <th>ABBA</th>\n",
       "      <th>BABA</th>\n",
       "      <th>nloci</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>-0.236</td>\n",
       "      <td>-0.236</td>\n",
       "      <td>0.039</td>\n",
       "      <td>6.107</td>\n",
       "      <td>149.450</td>\n",
       "      <td>241.929</td>\n",
       "      <td>22961</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>0.236</td>\n",
       "      <td>0.236</td>\n",
       "      <td>0.039</td>\n",
       "      <td>6.005</td>\n",
       "      <td>241.929</td>\n",
       "      <td>149.450</td>\n",
       "      <td>22961</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>-0.206</td>\n",
       "      <td>-0.203</td>\n",
       "      <td>0.037</td>\n",
       "      <td>5.546</td>\n",
       "      <td>154.434</td>\n",
       "      <td>234.457</td>\n",
       "      <td>23524</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>0.206</td>\n",
       "      <td>0.206</td>\n",
       "      <td>0.038</td>\n",
       "      <td>5.458</td>\n",
       "      <td>234.457</td>\n",
       "      <td>154.434</td>\n",
       "      <td>23524</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>0.156</td>\n",
       "      <td>0.157</td>\n",
       "      <td>0.029</td>\n",
       "      <td>5.354</td>\n",
       "      <td>344.367</td>\n",
       "      <td>251.328</td>\n",
       "      <td>27085</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>-0.137</td>\n",
       "      <td>-0.137</td>\n",
       "      <td>0.027</td>\n",
       "      <td>5.163</td>\n",
       "      <td>263.416</td>\n",
       "      <td>347.221</td>\n",
       "      <td>27762</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>-0.181</td>\n",
       "      <td>-0.182</td>\n",
       "      <td>0.035</td>\n",
       "      <td>5.150</td>\n",
       "      <td>180.356</td>\n",
       "      <td>260.083</td>\n",
       "      <td>24877</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>0.181</td>\n",
       "      <td>0.181</td>\n",
       "      <td>0.036</td>\n",
       "      <td>5.056</td>\n",
       "      <td>260.083</td>\n",
       "      <td>180.356</td>\n",
       "      <td>24877</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>-0.134</td>\n",
       "      <td>-0.135</td>\n",
       "      <td>0.027</td>\n",
       "      <td>5.004</td>\n",
       "      <td>263.861</td>\n",
       "      <td>345.722</td>\n",
       "      <td>27697</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>0.137</td>\n",
       "      <td>0.138</td>\n",
       "      <td>0.028</td>\n",
       "      <td>4.984</td>\n",
       "      <td>347.221</td>\n",
       "      <td>263.416</td>\n",
       "      <td>27762</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    dstat  bootmean  bootstd      Z     ABBA     BABA  nloci\n",
       "1  -0.236    -0.236    0.039  6.107  149.450  241.929  22961\n",
       "10  0.236     0.236    0.039  6.005  241.929  149.450  22961\n",
       "26 -0.206    -0.203    0.037  5.546  154.434  234.457  23524\n",
       "19  0.206     0.206    0.038  5.458  234.457  154.434  23524\n",
       "24  0.156     0.157    0.029  5.354  344.367  251.328  27085\n",
       "25 -0.137    -0.137    0.027  5.163  263.416  347.221  27762\n",
       "30 -0.181    -0.182    0.035  5.150  180.356  260.083  24877\n",
       "23  0.181     0.181    0.036  5.056  260.083  180.356  24877\n",
       "27 -0.134    -0.135    0.027  5.004  263.861  345.722  27697\n",
       "18  0.137     0.138    0.028  4.984  347.221  263.416  27762"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "q7 = ipa.baba(data=locifile, newick=newick)\n",
    "q7.generate_tests_from_tree(\n",
    "    constraint_exact=[False, False, True, True],\n",
    "    constraint_dict={\n",
    "    \"p4\": outgroups,\n",
    "    \"p3\": clade3B + clade3C, \n",
    "    \"p2\": clade2C,\n",
    "    \"p1\": clade2C,\n",
    "    })\n",
    "q7.run(ipyclient)\n",
    "q7.results_table.sort_values(by='Z', ascending=False).head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Question 8: Clades 2C and 3 get top tests"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "50 tests generated from tree\n",
      "[####################] 100%  calculating D-stats  | 0:01:18 |  \n"
     ]
    }
   ],
   "source": [
    "qq = ipa.baba(data=locifile, newick=newick)\n",
    "qq.generate_tests_from_tree(\n",
    "    constraint_exact=[True, False, False, True],\n",
    "    constraint_dict={\n",
    "    \"p4\": outgroups,\n",
    "    \"p3\": clade3B + clade3C, \n",
    "    \"p2\": [\"D14513\", \"D14501\"],\n",
    "    \"p1\": [\"D14485\", \"D14480\", \"D14477\", \"D14478\"],\n",
    "    })\n",
    "qq.run(ipyclient)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "## get top 5 tests \n",
    "idxs = qq.results_table.sort_values(by='Z', ascending=False).head(5).index.tolist()\n",
    "qtests = [qq.tests[idx] for idx in idxs]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Make a summary plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "## top tests from q6, q7, and q8\n",
    "q6s = [{\n",
    "    \"p4\": outgroups, \n",
    "    \"p3\": clade2B,\n",
    "    \"p2\": [\"D14485\", \"D14480\", \"D14477\", \"D14478\"],\n",
    "    \"p1\": [\"D14501\"],\n",
    "}]\n",
    "q7s = [{\n",
    "    \"p4\": outgroups, \n",
    "    \"p3\": clade3B + clade3C, \n",
    "    \"p2\": [\"D14485\", \"D14480\", \"D14477\", \"D14478\"],\n",
    "    \"p1\": [\"D14513\"],\n",
    "}]\n",
    "q8s = [{\n",
    "    \"p4\": outgroups, \n",
    "    \"p3\": clade3A,\n",
    "    \"p2\": list(set(clade3B + clade3C) - set([\"D12963\"])),\n",
    "    \"p1\": [\"D12963\"],\n",
    "}]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[####################] 100%  calculating D-stats  | 0:01:11 |  \n"
     ]
    }
   ],
   "source": [
    "qall = ipa.baba(data=locifile, newick=newick)\n",
    "qall.tests = q1.tests + q2.tests + q3.tests + q4.tests + q5.tests +\\\n",
    "             q6s + q7s + q8s + qtests\n",
    "qall.run(ipyclient)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "neworder = [0, 1, 4, 5, 6, 7, 2, 3, 15] + range(8, 15) + range(16, 21)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
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       "        {\n",
       "            tables.push({owner: owner, key: key, names: names, columns: columns});\n",
       "        }\n",
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       "            {\n",
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       "                return {names: table.names, columns: table.columns};\n",
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       "        module.get_csv = function(owner, key)\n",
       "        {\n",
       "            var table = module.get(owner, key);\n",
       "            if(table != undefined)\n",
       "            {\n",
       "                var csv = \"\";\n",
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       "                return csv;\n",
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       "\n",
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       "    })();\n",
       "modules[\"toyplot/root/id\"] = \"t3b1a2c7531574bf69811513c6db0af01\";\n",
       "modules[\"toyplot/root\"] = (function(root_id)\n",
       "    {\n",
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       "modules[\"toyplot/canvas/id\"] = \"t6570e85747b34d5f9b13c863991a9901\";\n",
       "modules[\"toyplot/canvas\"] = (function(canvas_id)\n",
       "    {\n",
       "        return document.querySelector(\"#\" + canvas_id);\n",
       "    })(modules[\"toyplot/canvas/id\"]);\n",
       "modules[\"toyplot/menus/context\"] = (function(root, canvas)\n",
       "    {\n",
       "        var wrapper = document.createElement(\"div\");\n",
       "        wrapper.innerHTML = \"<ul class='toyplot-context-menu' style='background:#eee; border:1px solid #b8b8b8; border-radius:5px; box-shadow: 0px 0px 8px rgba(0%,0%,0%,0.25); margin:0; padding:3px 0; position:fixed; visibility:hidden;'></ul>\"\n",
       "        var menu = wrapper.firstChild;\n",
       "\n",
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       "\n",
       "        var ignore_mouseup = null;\n",
       "        function open_menu(e)\n",
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       "            for(var index=0; index != items.length; ++index)\n",
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       "\n",
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       "            menu.style.visibility = \"hidden\";\n",
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       "        {\n",
       "            ignore_mouseup = false;\n",
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       "\n",
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       "        document.addEventListener(\"keydown\", keydown);\n",
       "\n",
       "        var module = {};\n",
       "        module.add_item = function(label, show, activate)\n",
       "        {\n",
       "            var wrapper = document.createElement(\"div\");\n",
       "            wrapper.innerHTML = \"<li class='toyplot-context-menu-item' style='background:#eee; color:#333; padding:2px 20px; list-style:none; margin:0; text-align:left;'>\" + label + \"</li>\"\n",
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       "            {\n",
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       "\n",
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       "            item.addEventListener(\"contextmenu\", choose_item);\n",
       "\n",
       "            menu.appendChild(item);\n",
       "        };\n",
       "        return module;\n",
       "    })(modules[\"toyplot/root\"],modules[\"toyplot/canvas\"]);\n",
       "modules[\"toyplot/io\"] = (function()\n",
       "    {\n",
       "        var module = {};\n",
       "        module.save_file = function(mime_type, charset, data, filename)\n",
       "        {\n",
       "            var uri = \"data:\" + mime_type + \";charset=\" + charset + \",\" + data;\n",
       "            uri = encodeURI(uri);\n",
       "\n",
       "            var link = document.createElement(\"a\");\n",
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       "              link.download = filename;\n",
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       "              document.body.appendChild(link);\n",
       "              link.click();\n",
       "              document.body.removeChild(link);\n",
       "            }\n",
       "            else\n",
       "            {\n",
       "              window.open(uri);\n",
       "            }\n",
       "        };\n",
       "        return module;\n",
       "    })();\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"tc16ecc62969e4295bdddc5695a9363b6\",\"vertex_data\",\"graph vertex data\",[\"x\", \"y\"],[[0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0, 13.0, 14.0, 15.0, 16.0, 17.0, 18.0, 19.0, 20.0, 21.0, 22.0, 23.0, 24.0, 25.0, 26.0, 27.0, 28.0, 29.0, 30.0, 31.0, 32.0, 33.0, 34.0, 35.0, 36.0, 37.0, 38.0, 39.0, 40.0, 41.0, 0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0, 13.0, 14.0, 15.0, 16.0, 17.0, 18.0, 19.0, 20.0, 21.0, 22.0, 23.0, 24.0, 25.0, 26.0, 27.0, 28.0, 29.0, 30.0, 31.0, 32.0, 33.0, 34.0, 35.0, 36.0, 37.0, 38.0, 39.0, 40.0, 41.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"tc16ecc62969e4295bdddc5695a9363b6\",\"edge_data\",\"graph edge data\",[\"source\", \"target\"],[[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41], [42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t5c0dcb33b6c54323a467179b2a7afbf3\",\"vertex_data\",\"graph vertex data\",[\"x\", \"y\"],[[32.876953125, 39.5, 39.5, 26.25390625, 26.25390625, 39.5, 40.5, 40.5, 38.5, 38.5, 26.25390625, 34.28125, 34.28125, 18.2265625, 18.2265625, 40.5, 41.0, 41.0, 40.0, 40.0, 38.5, 39.0, 39.0, 38.0, 38.0, 34.28125, 36.25, 36.25, 32.3125, 32.3125, 18.2265625, 24.0703125, 24.0703125, 12.3828125, 12.3828125, 36.25, 37.0, 37.0, 35.5, 35.5, 32.3125, 33.5, 33.5, 31.125, 31.125, 24.0703125, 26.5, 26.5, 21.640625, 21.640625, 12.3828125, 14.5, 14.5, 10.265625, 10.265625, 35.5, 36.0, 36.0, 35.0, 35.0, 33.5, 34.0, 34.0, 33.0, 33.0, 31.125, 32.0, 32.0, 30.25, 30.25, 26.5, 27.5, 27.5, 25.5, 25.5, 21.640625, 23.25, 23.25, 20.03125, 20.03125, 14.5, 15.0, 15.0, 14.0, 14.0, 10.265625, 13.0, 13.0, 7.53125, 7.53125, 30.25, 31.0, 31.0, 29.5, 29.5, 27.5, 28.0, 28.0, 27.0, 27.0, 25.5, 26.0, 26.0, 25.0, 25.0, 23.25, 24.0, 24.0, 22.5, 22.5, 20.03125, 21.0, 21.0, 19.0625, 19.0625, 7.53125, 10.75, 10.75, 4.3125, 4.3125, 29.5, 30.0, 30.0, 29.0, 29.0, 22.5, 23.0, 23.0, 22.0, 22.0, 19.0625, 20.0, 20.0, 18.125, 18.125, 10.75, 12.0, 12.0, 9.5, 9.5, 4.3125, 6.25, 6.25, 2.375, 2.375, 18.125, 19.0, 19.0, 17.25, 17.25, 9.5, 10.5, 10.5, 8.5, 8.5, 6.25, 7.0, 7.0, 5.5, 5.5, 2.375, 3.5, 3.5, 1.25, 1.25, 17.25, 18.0, 18.0, 16.5, 16.5, 10.5, 11.0, 11.0, 10.0, 10.0, 8.5, 9.0, 9.0, 8.0, 8.0, 5.5, 6.0, 6.0, 5.0, 5.0, 3.5, 4.0, 4.0, 3.0, 3.0, 1.25, 2.0, 2.0, 0.5, 0.5, 16.5, 17.0, 17.0, 16.0, 16.0, 0.5, 1.0, 1.0, 0.0, 0.0], [10.0, 10.0, 2.0, 10.0, 9.0, 2.0, 2.0, 1.0, 2.0, 1.0, 9.0, 9.0, 5.0, 9.0, 8.0, 1.0, 1.0, 0.0, 1.0, 0.0, 1.0, 1.0, 0.0, 1.0, 0.0, 5.0, 5.0, 2.0, 5.0, 4.0, 8.0, 8.0, 7.0, 8.0, 7.0, 2.0, 2.0, 0.0, 2.0, 1.0, 4.0, 4.0, 1.0, 4.0, 3.0, 7.0, 7.0, 2.0, 7.0, 6.0, 7.0, 7.0, 1.0, 7.0, 6.0, 1.0, 1.0, 0.0, 1.0, 0.0, 1.0, 1.0, 0.0, 1.0, 0.0, 3.0, 3.0, 0.0, 3.0, 2.0, 2.0, 2.0, 1.0, 2.0, 1.0, 6.0, 6.0, 2.0, 6.0, 5.0, 1.0, 1.0, 0.0, 1.0, 0.0, 6.0, 6.0, 0.0, 6.0, 5.0, 2.0, 2.0, 0.0, 2.0, 1.0, 1.0, 1.0, 0.0, 1.0, 0.0, 1.0, 1.0, 0.0, 1.0, 0.0, 2.0, 2.0, 0.0, 2.0, 1.0, 5.0, 5.0, 0.0, 5.0, 4.0, 5.0, 5.0, 3.0, 5.0, 4.0, 1.0, 1.0, 0.0, 1.0, 0.0, 1.0, 1.0, 0.0, 1.0, 0.0, 4.0, 4.0, 0.0, 4.0, 3.0, 3.0, 3.0, 0.0, 3.0, 2.0, 4.0, 4.0, 2.0, 4.0, 3.0, 3.0, 3.0, 0.0, 3.0, 2.0, 2.0, 2.0, 1.0, 2.0, 1.0, 2.0, 2.0, 0.0, 2.0, 1.0, 3.0, 3.0, 1.0, 3.0, 2.0, 2.0, 2.0, 0.0, 2.0, 1.0, 1.0, 1.0, 0.0, 1.0, 0.0, 1.0, 1.0, 0.0, 1.0, 0.0, 1.0, 1.0, 0.0, 1.0, 0.0, 1.0, 1.0, 0.0, 1.0, 0.0, 2.0, 2.0, 0.0, 2.0, 1.0, 1.0, 1.0, 0.0, 1.0, 0.0, 1.0, 1.0, 0.0, 1.0, 0.0]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t5c0dcb33b6c54323a467179b2a7afbf3\",\"edge_data\",\"graph edge data\",[\"source\", \"target\"],[[0, 1, 0, 3, 5, 6, 5, 8, 10, 11, 10, 13, 15, 16, 15, 18, 20, 21, 20, 23, 25, 26, 25, 28, 30, 31, 30, 33, 35, 36, 35, 38, 40, 41, 40, 43, 45, 46, 45, 48, 50, 51, 50, 53, 55, 56, 55, 58, 60, 61, 60, 63, 65, 66, 65, 68, 70, 71, 70, 73, 75, 76, 75, 78, 80, 81, 80, 83, 85, 86, 85, 88, 90, 91, 90, 93, 95, 96, 95, 98, 100, 101, 100, 103, 105, 106, 105, 108, 110, 111, 110, 113, 115, 116, 115, 118, 120, 121, 120, 123, 125, 126, 125, 128, 130, 131, 130, 133, 135, 136, 135, 138, 140, 141, 140, 143, 145, 146, 145, 148, 150, 151, 150, 153, 155, 156, 155, 158, 160, 161, 160, 163, 165, 166, 165, 168, 170, 171, 170, 173, 175, 176, 175, 178, 180, 181, 180, 183, 185, 186, 185, 188, 190, 191, 190, 193, 195, 196, 195, 198, 200, 201, 200, 203], [1, 2, 3, 4, 6, 7, 8, 9, 11, 12, 13, 14, 16, 17, 18, 19, 21, 22, 23, 24, 26, 27, 28, 29, 31, 32, 33, 34, 36, 37, 38, 39, 41, 42, 43, 44, 46, 47, 48, 49, 51, 52, 53, 54, 56, 57, 58, 59, 61, 62, 63, 64, 66, 67, 68, 69, 71, 72, 73, 74, 76, 77, 78, 79, 81, 82, 83, 84, 86, 87, 88, 89, 91, 92, 93, 94, 96, 97, 98, 99, 101, 102, 103, 104, 106, 107, 108, 109, 111, 112, 113, 114, 116, 117, 118, 119, 121, 122, 123, 124, 126, 127, 128, 129, 131, 132, 133, 134, 136, 137, 138, 139, 141, 142, 143, 144, 146, 147, 148, 149, 151, 152, 153, 154, 156, 157, 158, 159, 161, 162, 163, 164, 166, 167, 168, 169, 171, 172, 173, 174, 176, 177, 178, 179, 181, 182, 183, 184, 186, 187, 188, 189, 191, 192, 193, 194, 196, 197, 198, 199, 201, 202, 203, 204]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t251f34bb5bba4cc193d9365a130fd516\",\"vertex_data\",\"graph vertex data\",[\"x\", \"y\"],[[0.0, 41.0], [-1.8181818181818181, -1.8181818181818181]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t251f34bb5bba4cc193d9365a130fd516\",\"edge_data\",\"graph edge data\",[\"source\", \"target\"],[[0], [1]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t13f6298b0ed9428b9396aa3a8f9b4214\",\"vertex_data\",\"graph vertex data\",[\"x\", \"y\"],[[0.0, 41.0], [-3.6363636363636362, -3.6363636363636362]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t13f6298b0ed9428b9396aa3a8f9b4214\",\"edge_data\",\"graph edge data\",[\"source\", \"target\"],[[0], [1]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t4c472e357c3b49fabc0a49ab1663fed5\",\"vertex_data\",\"graph vertex data\",[\"x\", \"y\"],[[0.0, 41.0], [-5.454545454545454, -5.454545454545454]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t4c472e357c3b49fabc0a49ab1663fed5\",\"edge_data\",\"graph edge data\",[\"source\", \"target\"],[[0], [1]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t8d237de0968e4475b76245c75007cf99\",\"vertex_data\",\"graph vertex data\",[\"x\", \"y\"],[[0.0, 41.0], [-7.2727272727272725, -7.2727272727272725]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t8d237de0968e4475b76245c75007cf99\",\"edge_data\",\"graph edge data\",[\"source\", \"target\"],[[0], [1]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"tb598f717dff34fdaa6b42c11b6a0ad6f\",\"vertex_data\",\"graph vertex data\",[\"x\", \"y\"],[[0.0, 41.0], [-9.09090909090909, -9.09090909090909]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"tb598f717dff34fdaa6b42c11b6a0ad6f\",\"edge_data\",\"graph edge data\",[\"source\", \"target\"],[[0], [1]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t82d0e3b6868b4613a21e27b8ce14fdce\",\"vertex_data\",\"graph vertex data\",[\"x\", \"y\"],[[0.0, 41.0], [-10.909090909090908, -10.909090909090908]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t82d0e3b6868b4613a21e27b8ce14fdce\",\"edge_data\",\"graph edge data\",[\"source\", \"target\"],[[0], [1]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"ted082c5e01384929860426761736fe06\",\"vertex_data\",\"graph vertex data\",[\"x\", \"y\"],[[0.0, 41.0], [-12.727272727272727, -12.727272727272727]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"ted082c5e01384929860426761736fe06\",\"edge_data\",\"graph edge data\",[\"source\", \"target\"],[[0], [1]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t4c4bc7abe81149c1b638250abeed6602\",\"vertex_data\",\"graph vertex data\",[\"x\", \"y\"],[[0.0, 41.0], [-14.545454545454545, -14.545454545454545]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t4c4bc7abe81149c1b638250abeed6602\",\"edge_data\",\"graph edge data\",[\"source\", \"target\"],[[0], [1]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t5fde8ba38e0f4ce88672e6afa8529fc7\",\"vertex_data\",\"graph vertex data\",[\"x\", \"y\"],[[0.0, 41.0], [-16.363636363636363, -16.363636363636363]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t5fde8ba38e0f4ce88672e6afa8529fc7\",\"edge_data\",\"graph edge data\",[\"source\", \"target\"],[[0], [1]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t25a06c89b5ec4b5a94c72a7a46ec273a\",\"vertex_data\",\"graph vertex data\",[\"x\", \"y\"],[[0.0, 41.0], [-18.18181818181818, -18.18181818181818]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t25a06c89b5ec4b5a94c72a7a46ec273a\",\"edge_data\",\"graph edge data\",[\"source\", \"target\"],[[0], [1]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t4e8a6e6a84db4d189aceaaaf43713bab\",\"vertex_data\",\"graph vertex data\",[\"x\", \"y\"],[[0.0, 41.0], [-20.0, -20.0]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t4e8a6e6a84db4d189aceaaaf43713bab\",\"edge_data\",\"graph edge data\",[\"source\", \"target\"],[[0], [1]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"tbaaba4f127c849e4b901390d8e095ce0\",\"vertex_data\",\"graph vertex data\",[\"x\", \"y\"],[[0.0, 41.0], [-21.818181818181817, -21.818181818181817]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"tbaaba4f127c849e4b901390d8e095ce0\",\"edge_data\",\"graph edge data\",[\"source\", \"target\"],[[0], [1]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t6505bcc5c10b4324ad8ccb8800b54545\",\"vertex_data\",\"graph vertex data\",[\"x\", \"y\"],[[0.0, 41.0], [-23.636363636363637, -23.636363636363637]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t6505bcc5c10b4324ad8ccb8800b54545\",\"edge_data\",\"graph edge data\",[\"source\", \"target\"],[[0], [1]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t8ba3c8ffd67745d48e788a27cec72046\",\"vertex_data\",\"graph vertex data\",[\"x\", \"y\"],[[0.0, 41.0], [-25.454545454545453, -25.454545454545453]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t8ba3c8ffd67745d48e788a27cec72046\",\"edge_data\",\"graph edge data\",[\"source\", \"target\"],[[0], [1]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"ta909e1339b7145d3b0e96717ee50d051\",\"vertex_data\",\"graph vertex data\",[\"x\", \"y\"],[[0.0, 41.0], [-27.272727272727273, -27.272727272727273]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"ta909e1339b7145d3b0e96717ee50d051\",\"edge_data\",\"graph edge data\",[\"source\", \"target\"],[[0], [1]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"tbe5ea9e8955d453b955b9073e42736c1\",\"vertex_data\",\"graph vertex data\",[\"x\", \"y\"],[[0.0, 41.0], [-29.09090909090909, -29.09090909090909]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"tbe5ea9e8955d453b955b9073e42736c1\",\"edge_data\",\"graph edge data\",[\"source\", \"target\"],[[0], [1]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t336042f1b6654430a4e712f156653a4d\",\"vertex_data\",\"graph vertex data\",[\"x\", \"y\"],[[0.0, 41.0], [-30.909090909090907, -30.909090909090907]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t336042f1b6654430a4e712f156653a4d\",\"edge_data\",\"graph edge data\",[\"source\", \"target\"],[[0], [1]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t4285ad0db87e49efb330ec8aa7599b20\",\"vertex_data\",\"graph vertex data\",[\"x\", \"y\"],[[0.0, 41.0], [-32.72727272727273, -32.72727272727273]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t4285ad0db87e49efb330ec8aa7599b20\",\"edge_data\",\"graph edge data\",[\"source\", \"target\"],[[0], [1]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t2703fd8f182443cfa319a5ebc1e95498\",\"vertex_data\",\"graph vertex data\",[\"x\", \"y\"],[[0.0, 41.0], [-34.54545454545455, -34.54545454545455]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t2703fd8f182443cfa319a5ebc1e95498\",\"edge_data\",\"graph edge data\",[\"source\", \"target\"],[[0], [1]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t0e5e4494d51449adaad5f96afc24e068\",\"vertex_data\",\"graph vertex data\",[\"x\", \"y\"],[[0.0, 41.0], [-36.36363636363636, -36.36363636363636]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t0e5e4494d51449adaad5f96afc24e068\",\"edge_data\",\"graph edge data\",[\"source\", \"target\"],[[0], [1]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"tdf7133518ee24ac5a21ca9bdcf2bbbca\",\"vertex_data\",\"graph vertex data\",[\"x\", \"y\"],[[0.0, 41.0], [-38.18181818181818, -38.18181818181818]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"tdf7133518ee24ac5a21ca9bdcf2bbbca\",\"edge_data\",\"graph edge data\",[\"source\", \"target\"],[[0], [1]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t9fcc1324458642abb9f7a7a3f53ec509\",\"vertex_data\",\"graph vertex data\",[\"x\", \"y\"],[[-11.038461538461537, -2.0], [-1.8181818181818181, -1.8181818181818181]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t9fcc1324458642abb9f7a7a3f53ec509\",\"edge_data\",\"graph edge data\",[\"source\", \"target\"],[[0], [1]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t9c30dbb3258e4d85983bcf10f3dee70d\",\"vertex_data\",\"graph vertex data\",[\"x\", \"y\"],[[-11.038461538461537, -2.0], [-3.6363636363636362, -3.6363636363636362]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t9c30dbb3258e4d85983bcf10f3dee70d\",\"edge_data\",\"graph edge data\",[\"source\", \"target\"],[[0], [1]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"te32a54aebb874f01a8d78990e7de13c1\",\"vertex_data\",\"graph vertex data\",[\"x\", \"y\"],[[-11.038461538461537, -2.0], [-5.454545454545454, -5.454545454545454]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"te32a54aebb874f01a8d78990e7de13c1\",\"edge_data\",\"graph edge data\",[\"source\", \"target\"],[[0], [1]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t58907219bdaa4a719d76fae6b6b594cf\",\"vertex_data\",\"graph vertex data\",[\"x\", \"y\"],[[-11.038461538461537, -2.0], [-7.2727272727272725, -7.2727272727272725]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t58907219bdaa4a719d76fae6b6b594cf\",\"edge_data\",\"graph edge data\",[\"source\", \"target\"],[[0], [1]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"te66d8c81a54e4e69869e7276df34627e\",\"vertex_data\",\"graph vertex data\",[\"x\", \"y\"],[[-11.038461538461537, -2.0], [-9.09090909090909, -9.09090909090909]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"te66d8c81a54e4e69869e7276df34627e\",\"edge_data\",\"graph edge data\",[\"source\", \"target\"],[[0], [1]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t7914662c3d5b4872bf9315ce677993e2\",\"vertex_data\",\"graph vertex data\",[\"x\", \"y\"],[[-11.038461538461537, -2.0], [-10.909090909090908, -10.909090909090908]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t7914662c3d5b4872bf9315ce677993e2\",\"edge_data\",\"graph edge data\",[\"source\", \"target\"],[[0], [1]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"ta3dfa68832694e99876cbf346369953a\",\"vertex_data\",\"graph vertex data\",[\"x\", \"y\"],[[-11.038461538461537, -2.0], [-12.727272727272727, -12.727272727272727]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"ta3dfa68832694e99876cbf346369953a\",\"edge_data\",\"graph edge data\",[\"source\", \"target\"],[[0], [1]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t9397af08c4ca4634b927155fd20ee59b\",\"vertex_data\",\"graph vertex data\",[\"x\", \"y\"],[[-11.038461538461537, -2.0], [-14.545454545454545, -14.545454545454545]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t9397af08c4ca4634b927155fd20ee59b\",\"edge_data\",\"graph edge data\",[\"source\", \"target\"],[[0], [1]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t114a2baf377c460f8f814ff077885dac\",\"vertex_data\",\"graph vertex data\",[\"x\", \"y\"],[[-11.038461538461537, -2.0], [-16.363636363636363, -16.363636363636363]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t114a2baf377c460f8f814ff077885dac\",\"edge_data\",\"graph edge data\",[\"source\", \"target\"],[[0], [1]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t6734cd492c3e40ed8da060b479a90336\",\"vertex_data\",\"graph vertex data\",[\"x\", \"y\"],[[-11.038461538461537, -2.0], [-18.18181818181818, -18.18181818181818]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t6734cd492c3e40ed8da060b479a90336\",\"edge_data\",\"graph edge data\",[\"source\", \"target\"],[[0], [1]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"te1df075aa00d404bb850970412d4d72b\",\"vertex_data\",\"graph vertex data\",[\"x\", \"y\"],[[-11.038461538461537, -2.0], [-20.0, -20.0]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"te1df075aa00d404bb850970412d4d72b\",\"edge_data\",\"graph edge data\",[\"source\", \"target\"],[[0], [1]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t4cbfa04a257845ba84e02fe7c8b0c302\",\"vertex_data\",\"graph vertex data\",[\"x\", \"y\"],[[-11.038461538461537, -2.0], [-21.818181818181817, -21.818181818181817]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t4cbfa04a257845ba84e02fe7c8b0c302\",\"edge_data\",\"graph edge data\",[\"source\", \"target\"],[[0], [1]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t838eaa46d480409fad29edcf8ca0bff8\",\"vertex_data\",\"graph vertex data\",[\"x\", \"y\"],[[-11.038461538461537, -2.0], [-23.636363636363637, -23.636363636363637]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t838eaa46d480409fad29edcf8ca0bff8\",\"edge_data\",\"graph edge data\",[\"source\", \"target\"],[[0], [1]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"tfe938a711ceb4be1b9ea1c0345bb38f1\",\"vertex_data\",\"graph vertex data\",[\"x\", \"y\"],[[-11.038461538461537, -2.0], [-25.454545454545453, -25.454545454545453]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"tfe938a711ceb4be1b9ea1c0345bb38f1\",\"edge_data\",\"graph edge data\",[\"source\", \"target\"],[[0], [1]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t4496e0da22ec4e6ca7f6042181f46727\",\"vertex_data\",\"graph vertex data\",[\"x\", \"y\"],[[-11.038461538461537, -2.0], [-27.272727272727273, -27.272727272727273]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t4496e0da22ec4e6ca7f6042181f46727\",\"edge_data\",\"graph edge data\",[\"source\", \"target\"],[[0], [1]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t6f24455937e945ff8a373d57decef61d\",\"vertex_data\",\"graph vertex data\",[\"x\", \"y\"],[[-11.038461538461537, -2.0], [-29.09090909090909, -29.09090909090909]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t6f24455937e945ff8a373d57decef61d\",\"edge_data\",\"graph edge data\",[\"source\", \"target\"],[[0], [1]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"tea14112400ce435f8bdc3da7aa428aa3\",\"vertex_data\",\"graph vertex data\",[\"x\", \"y\"],[[-11.038461538461537, -2.0], [-30.909090909090907, -30.909090909090907]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"tea14112400ce435f8bdc3da7aa428aa3\",\"edge_data\",\"graph edge data\",[\"source\", \"target\"],[[0], [1]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t04c4b95abc824bbdbd6b42bc0e0f8940\",\"vertex_data\",\"graph vertex data\",[\"x\", \"y\"],[[-11.038461538461537, -2.0], [-32.72727272727273, -32.72727272727273]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t04c4b95abc824bbdbd6b42bc0e0f8940\",\"edge_data\",\"graph edge data\",[\"source\", \"target\"],[[0], [1]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t78b0ed8283824f5abb914aa08095c561\",\"vertex_data\",\"graph vertex data\",[\"x\", \"y\"],[[-11.038461538461537, -2.0], [-34.54545454545455, -34.54545454545455]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t78b0ed8283824f5abb914aa08095c561\",\"edge_data\",\"graph edge data\",[\"source\", \"target\"],[[0], [1]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"tfe18d1bbe6ac4d4c91a5320eef090475\",\"vertex_data\",\"graph vertex data\",[\"x\", \"y\"],[[-11.038461538461537, -2.0], [-36.36363636363636, -36.36363636363636]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"tfe18d1bbe6ac4d4c91a5320eef090475\",\"edge_data\",\"graph edge data\",[\"source\", \"target\"],[[0], [1]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"te6797d499158472d8c27b93db651b310\",\"vertex_data\",\"graph vertex data\",[\"x\", \"y\"],[[-11.038461538461537, -2.0], [-38.18181818181818, -38.18181818181818]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"te6797d499158472d8c27b93db651b310\",\"edge_data\",\"graph edge data\",[\"source\", \"target\"],[[0], [1]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t4c031cd66cc347caaa1ed13c574e3840\",\"vertex_data\",\"graph vertex data\",[\"x\", \"y\"],[[-11.038461538461537, -2.0, -2.0, -2.0, -11.038461538461537, -2.0, -22.076923076923073, -13.038461538461537, -22.076923076923073, -13.038461538461537], [-40.0, -40.0, -0.45454545454545453, -39.54545454545455, -40.45454545454545, -40.45454545454545, -40.0, -40.0, -40.45454545454545, -40.45454545454545]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t4c031cd66cc347caaa1ed13c574e3840\",\"edge_data\",\"graph edge data\",[\"source\", \"target\"],[[0, 2, 4, 5, 6, 8, 9], [1, 3, 0, 1, 7, 6, 7]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"tc422abeafe6341498ac25a9d95ab3426\",\"data\",\"fill data\",[\"x\", \"y0\"],[[-22.076923076923073, -21.775641025641022, -21.47435897435897, -21.17307692307692, -20.87179487179487, -20.570512820512818, -20.269230769230766, -19.967948717948715, -19.666666666666664, -19.365384615384613, -19.064102564102562, -18.76282051282051, -18.46153846153846, -18.16025641025641, -17.858974358974358, -17.557692307692307, -17.256410256410255, -16.955128205128204, -16.653846153846153, -16.352564102564102, -16.05128205128205, -15.749999999999996, -15.448717948717945, -15.147435897435894, -14.846153846153843, -14.544871794871792, -14.243589743589741, -13.94230769230769, -13.641025641025639, -13.339743589743588], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.005795001810938068, 0.11879753712423036, 0.9938428105758761, 1.4545454545454546, 0.3216226005070627, 0.002897500905469026, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"ta0776a3c21ff4f5b889e1e4796e39959\",\"data\",\"fill data\",[\"x\", \"y0\"],[[-22.076923076923073, -21.775641025641022, -21.47435897435897, -21.17307692307692, -20.87179487179487, -20.570512820512818, -20.269230769230766, -19.967948717948715, -19.666666666666664, -19.365384615384613, -19.064102564102562, -18.76282051282051, -18.46153846153846, -18.16025641025641, -17.858974358974358, -17.557692307692307, -17.256410256410255, -16.955128205128204, -16.653846153846153, -16.352564102564102, -16.05128205128205, -15.749999999999996, -15.448717948717945, -15.147435897435894, -14.846153846153843, -14.544871794871792, -14.243589743589741, -13.94230769230769, -13.641025641025639, -13.339743589743588], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0032038446135362435, 0.19863836603924712, 1.4193031637965525, 1.4545454545454546, 0.12815378454144974, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t4aa9693d00854c4f88c128598ae7470a\",\"data\",\"fill data\",[\"x\", \"y0\"],[[-22.076923076923073, -21.775641025641022, -21.47435897435897, -21.17307692307692, -20.87179487179487, -20.570512820512818, -20.269230769230766, -19.967948717948715, -19.666666666666664, -19.365384615384613, -19.064102564102562, -18.76282051282051, -18.46153846153846, -18.16025641025641, -17.858974358974358, -17.557692307692307, -17.256410256410255, -16.955128205128204, -16.653846153846153, -16.352564102564102, -16.05128205128205, -15.749999999999996, -15.448717948717945, -15.147435897435894, -14.846153846153843, -14.544871794871792, -14.243589743589741, -13.94230769230769, -13.641025641025639, -13.339743589743588], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.003974167908594138, 0.06358668653750604, 0.4093392945851962, 1.4545454545454546, 1.4267262791852922, 0.5643318430203677, 0.0516641828117238, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"tb8ee5a5afabd45239f7455b579eb4fff\",\"data\",\"fill data\",[\"x\", \"y0\"],[[-22.076923076923073, -21.775641025641022, -21.47435897435897, -21.17307692307692, -20.87179487179487, -20.570512820512818, -20.269230769230766, -19.967948717948715, -19.666666666666664, -19.365384615384613, -19.064102564102562, -18.76282051282051, -18.46153846153846, -18.16025641025641, -17.858974358974358, -17.557692307692307, -17.256410256410255, -16.955128205128204, -16.653846153846153, -16.352564102564102, -16.05128205128205, -15.749999999999996, -15.448717948717945, -15.147435897435894, -14.846153846153843, -14.544871794871792, -14.243589743589741, -13.94230769230769, -13.641025641025639, -13.339743589743588], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.01831921227387223, 0.20151133501259497, 1.0185482024272983, 1.4545454545454546, 0.8280283947790266, 0.13922601328142925, 0.0036638424547744543, 0.0, 0.0, 0.0, 0.0, 0.0]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t91a6b05f0d3c49beb715ae462303d18b\",\"data\",\"fill data\",[\"x\", \"y0\"],[[-22.076923076923073, -21.775641025641022, -21.47435897435897, -21.17307692307692, -20.87179487179487, -20.570512820512818, -20.269230769230766, -19.967948717948715, -19.666666666666664, -19.365384615384613, -19.064102564102562, -18.76282051282051, -18.46153846153846, -18.16025641025641, -17.858974358974358, -17.557692307692307, -17.256410256410255, -16.955128205128204, -16.653846153846153, -16.352564102564102, -16.05128205128205, -15.749999999999996, -15.448717948717945, -15.147435897435894, -14.846153846153843, -14.544871794871792, -14.243589743589741, -13.94230769230769, -13.641025641025639, -13.339743589743588], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.009805924412665987, 0.23861082737487177, 1.4545454545454546, 1.3237997957099081, 0.23534218590398315, 0.006537282941777325, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t10db6b37f6f5445abd4c08dca18e8072\",\"data\",\"fill data\",[\"x\", \"y0\"],[[-22.076923076923073, -21.775641025641022, -21.47435897435897, -21.17307692307692, -20.87179487179487, -20.570512820512818, -20.269230769230766, -19.967948717948715, -19.666666666666664, -19.365384615384613, -19.064102564102562, -18.76282051282051, -18.46153846153846, -18.16025641025641, -17.858974358974358, -17.557692307692307, -17.256410256410255, -16.955128205128204, -16.653846153846153, -16.352564102564102, -16.05128205128205, -15.749999999999996, -15.448717948717945, -15.147435897435894, -14.846153846153843, -14.544871794871792, -14.243589743589741, -13.94230769230769, -13.641025641025639, -13.339743589743588], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.003094777562862665, 0.07736943907156664, 1.4019342359767895, 1.4545454545454546, 0.15473887814313314, 0.00309477756286267, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"tc048343067264c4382634be6367c035b\",\"data\",\"fill data\",[\"x\", \"y0\"],[[-22.076923076923073, -21.775641025641022, -21.47435897435897, -21.17307692307692, -20.87179487179487, -20.570512820512818, -20.269230769230766, -19.967948717948715, -19.666666666666664, -19.365384615384613, -19.064102564102562, -18.76282051282051, -18.46153846153846, -18.16025641025641, -17.858974358974358, -17.557692307692307, -17.256410256410255, -16.955128205128204, -16.653846153846153, -16.352564102564102, -16.05128205128205, -15.749999999999996, -15.448717948717945, -15.147435897435894, -14.846153846153843, -14.544871794871792, -14.243589743589741, -13.94230769230769, -13.641025641025639, -13.339743589743588], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.017464525183221603, 0.997972867612662, 1.4545454545454546, 0.024949321690316578, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t76ef165eb85648f7bf6f54719b2083ae\",\"data\",\"fill data\",[\"x\", \"y0\"],[[-22.076923076923073, -21.775641025641022, -21.47435897435897, -21.17307692307692, -20.87179487179487, -20.570512820512818, -20.269230769230766, -19.967948717948715, -19.666666666666664, -19.365384615384613, -19.064102564102562, -18.76282051282051, -18.46153846153846, -18.16025641025641, -17.858974358974358, -17.557692307692307, -17.256410256410255, -16.955128205128204, -16.653846153846153, -16.352564102564102, -16.05128205128205, -15.749999999999996, -15.448717948717945, -15.147435897435894, -14.846153846153843, -14.544871794871792, -14.243589743589741, -13.94230769230769, -13.641025641025639, -13.339743589743588], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0033208800332088007, 0.15940224159402244, 0.8136156081361542, 1.4545454545454546, 0.7106683271066834, 0.16936488169364883, 0.009962640099626403, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"te2b42bb6f4d24bddaf869d3df2e21e02\",\"data\",\"fill data\",[\"x\", \"y0\"],[[-22.076923076923073, -21.775641025641022, -21.47435897435897, -21.17307692307692, -20.87179487179487, -20.570512820512818, -20.269230769230766, -19.967948717948715, -19.666666666666664, -19.365384615384613, -19.064102564102562, -18.76282051282051, -18.46153846153846, -18.16025641025641, -17.858974358974358, -17.557692307692307, -17.256410256410255, -16.955128205128204, -16.653846153846153, -16.352564102564102, -16.05128205128205, -15.749999999999996, -15.448717948717945, -15.147435897435894, -14.846153846153843, -14.544871794871792, -14.243589743589741, -13.94230769230769, -13.641025641025639, -13.339743589743588], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.01784718349135527, 0.1338538761851642, 0.6915783602900167, 1.4545454545454546, 1.347462353597323, 0.6424986056887898, 0.14723926380368063, 0.026770775237032907, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t8ae62be081614d388a47da45d899c6de\",\"data\",\"fill data\",[\"x\", \"y0\"],[[-22.076923076923073, -21.775641025641022, -21.47435897435897, -21.17307692307692, -20.87179487179487, -20.570512820512818, -20.269230769230766, -19.967948717948715, -19.666666666666664, -19.365384615384613, -19.064102564102562, -18.76282051282051, -18.46153846153846, -18.16025641025641, -17.858974358974358, -17.557692307692307, -17.256410256410255, -16.955128205128204, -16.653846153846153, -16.352564102564102, -16.05128205128205, -15.749999999999996, -15.448717948717945, -15.147435897435894, -14.846153846153843, -14.544871794871792, -14.243589743589741, -13.94230769230769, -13.641025641025639, -13.339743589743588], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0038177046051061808, 0.2996898115008351, 1.4545454545454546, 0.15079933190169376, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"tbd28c02e7cdf4c73a692eadb0055f2e3\",\"data\",\"fill data\",[\"x\", \"y0\"],[[-22.076923076923073, -21.775641025641022, -21.47435897435897, -21.17307692307692, -20.87179487179487, -20.570512820512818, -20.269230769230766, -19.967948717948715, -19.666666666666664, -19.365384615384613, -19.064102564102562, -18.76282051282051, -18.46153846153846, -18.16025641025641, -17.858974358974358, -17.557692307692307, -17.256410256410255, -16.955128205128204, -16.653846153846153, -16.352564102564102, -16.05128205128205, -15.749999999999996, -15.448717948717945, -15.147435897435894, -14.846153846153843, -14.544871794871792, -14.243589743589741, -13.94230769230769, -13.641025641025639, -13.339743589743588], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.03931203931203932, 0.7813267813267813, 1.4545454545454546, 0.17936117936117893, 0.0024570024570024574, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t5230c11616ae47c48e81b628551e05a0\",\"data\",\"fill data\",[\"x\", \"y0\"],[[-22.076923076923073, -21.775641025641022, -21.47435897435897, -21.17307692307692, -20.87179487179487, -20.570512820512818, -20.269230769230766, -19.967948717948715, -19.666666666666664, -19.365384615384613, -19.064102564102562, -18.76282051282051, -18.46153846153846, -18.16025641025641, -17.858974358974358, -17.557692307692307, -17.256410256410255, -16.955128205128204, -16.653846153846153, -16.352564102564102, -16.05128205128205, -15.749999999999996, -15.448717948717945, -15.147435897435894, -14.846153846153843, -14.544871794871792, -14.243589743589741, -13.94230769230769, -13.641025641025639, -13.339743589743588], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.6871697601950972, 1.4545454545454546, 0.02601273540170715, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t867e8336265541199ac0a4ba85511d0a\",\"data\",\"fill data\",[\"x\", \"y0\"],[[-22.076923076923073, -21.775641025641022, -21.47435897435897, -21.17307692307692, -20.87179487179487, -20.570512820512818, -20.269230769230766, -19.967948717948715, -19.666666666666664, -19.365384615384613, -19.064102564102562, -18.76282051282051, -18.46153846153846, -18.16025641025641, -17.858974358974358, -17.557692307692307, -17.256410256410255, -16.955128205128204, -16.653846153846153, -16.352564102564102, -16.05128205128205, -15.749999999999996, -15.448717948717945, -15.147435897435894, -14.846153846153843, -14.544871794871792, -14.243589743589741, -13.94230769230769, -13.641025641025639, -13.339743589743588], [0.0, 0.0, 0.0, 0.0, 0.0, 0.005681818181818182, 0.051136363636363646, 0.2443181818181822, 0.9147727272727286, 1.4545454545454546, 1.3920454545454548, 1.0568181818181832, 0.4261363636363642, 0.10227272727272717, 0.028409090909090953, 0.005681818181818191, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t42c90c91e8c54c3bb998f08939c264ff\",\"data\",\"fill data\",[\"x\", \"y0\"],[[-22.076923076923073, -21.775641025641022, -21.47435897435897, -21.17307692307692, -20.87179487179487, -20.570512820512818, -20.269230769230766, -19.967948717948715, -19.666666666666664, -19.365384615384613, -19.064102564102562, -18.76282051282051, -18.46153846153846, -18.16025641025641, -17.858974358974358, -17.557692307692307, -17.256410256410255, -16.955128205128204, -16.653846153846153, -16.352564102564102, -16.05128205128205, -15.749999999999996, -15.448717948717945, -15.147435897435894, -14.846153846153843, -14.544871794871792, -14.243589743589741, -13.94230769230769, -13.641025641025639, -13.339743589743588], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.012285012285012255, 0.8157248157248157, 1.4545454545454546, 0.17444717444717442, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t0ac660167175477eaa233fdde96c6ca3\",\"data\",\"fill data\",[\"x\", \"y0\"],[[-22.076923076923073, -21.775641025641022, -21.47435897435897, -21.17307692307692, -20.87179487179487, -20.570512820512818, -20.269230769230766, -19.967948717948715, -19.666666666666664, -19.365384615384613, -19.064102564102562, -18.76282051282051, -18.46153846153846, -18.16025641025641, -17.858974358974358, -17.557692307692307, -17.256410256410255, -16.955128205128204, -16.653846153846153, -16.352564102564102, -16.05128205128205, -15.749999999999996, -15.448717948717945, -15.147435897435894, -14.846153846153843, -14.544871794871792, -14.243589743589741, -13.94230769230769, -13.641025641025639, -13.339743589743588], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0074847965070949625, 0.41914860439731694, 1.4545454545454546, 0.591298924060502, 0.022454389521284892, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t1fc2008ae80641b0b38199268ad02ad7\",\"data\",\"fill data\",[\"x\", \"y0\"],[[-22.076923076923073, -21.775641025641022, -21.47435897435897, -21.17307692307692, -20.87179487179487, -20.570512820512818, -20.269230769230766, -19.967948717948715, -19.666666666666664, -19.365384615384613, -19.064102564102562, -18.76282051282051, -18.46153846153846, -18.16025641025641, -17.858974358974358, -17.557692307692307, -17.256410256410255, -16.955128205128204, -16.653846153846153, -16.352564102564102, -16.05128205128205, -15.749999999999996, -15.448717948717945, -15.147435897435894, -14.846153846153843, -14.544871794871792, -14.243589743589741, -13.94230769230769, -13.641025641025639, -13.339743589743588], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.22417112299465294, 1.4545454545454546, 0.032513368983957305, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"tb085b9c478dd4f35b8c514b1bdaebd42\",\"data\",\"fill data\",[\"x\", \"y0\"],[[-22.076923076923073, -21.775641025641022, -21.47435897435897, -21.17307692307692, -20.87179487179487, -20.570512820512818, -20.269230769230766, -19.967948717948715, -19.666666666666664, -19.365384615384613, -19.064102564102562, -18.76282051282051, -18.46153846153846, -18.16025641025641, -17.858974358974358, -17.557692307692307, -17.256410256410255, -16.955128205128204, -16.653846153846153, -16.352564102564102, -16.05128205128205, -15.749999999999996, -15.448717948717945, -15.147435897435894, -14.846153846153843, -14.544871794871792, -14.243589743589741, -13.94230769230769, -13.641025641025639, -13.339743589743588], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.07024306670949798, 1.4545454545454546, 0.18845700824499456, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t24cf173449fd454887454c7ae1a62266\",\"data\",\"fill data\",[\"x\", \"y0\"],[[-22.076923076923073, -21.775641025641022, -21.47435897435897, -21.17307692307692, -20.87179487179487, -20.570512820512818, -20.269230769230766, -19.967948717948715, -19.666666666666664, -19.365384615384613, -19.064102564102562, -18.76282051282051, -18.46153846153846, -18.16025641025641, -17.858974358974358, -17.557692307692307, -17.256410256410255, -16.955128205128204, -16.653846153846153, -16.352564102564102, -16.05128205128205, -15.749999999999996, -15.448717948717945, -15.147435897435894, -14.846153846153843, -14.544871794871792, -14.243589743589741, -13.94230769230769, -13.641025641025639, -13.339743589743588], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.8556149732620342, 1.4545454545454546, 0.0023124729007082006, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t7b45778bb1bf46c7a1fcbe607c2340a6\",\"data\",\"fill data\",[\"x\", \"y0\"],[[-22.076923076923073, -21.775641025641022, -21.47435897435897, -21.17307692307692, -20.87179487179487, -20.570512820512818, -20.269230769230766, -19.967948717948715, -19.666666666666664, -19.365384615384613, -19.064102564102562, -18.76282051282051, -18.46153846153846, -18.16025641025641, -17.858974358974358, -17.557692307692307, -17.256410256410255, -16.955128205128204, -16.653846153846153, -16.352564102564102, -16.05128205128205, -15.749999999999996, -15.448717948717945, -15.147435897435894, -14.846153846153843, -14.544871794871792, -14.243589743589741, -13.94230769230769, -13.641025641025639, -13.339743589743588], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.06599571027883187, 0.982016168949016, 1.4545454545454546, 0.13727107737997032, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t0fe7b4dfe0a94e0995a334acc46f5790\",\"data\",\"fill data\",[\"x\", \"y0\"],[[-22.076923076923073, -21.775641025641022, -21.47435897435897, -21.17307692307692, -20.87179487179487, -20.570512820512818, -20.269230769230766, -19.967948717948715, -19.666666666666664, -19.365384615384613, -19.064102564102562, -18.76282051282051, -18.46153846153846, -18.16025641025641, -17.858974358974358, -17.557692307692307, -17.256410256410255, -16.955128205128204, -16.653846153846153, -16.352564102564102, -16.05128205128205, -15.749999999999996, -15.448717948717945, -15.147435897435894, -14.846153846153843, -14.544871794871792, -14.243589743589741, -13.94230769230769, -13.641025641025639, -13.339743589743588], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.08499548962614033, 1.4545454545454546, 0.06414753934048327, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t381627f31fec486fada9713a3c24c2c7\",\"data\",\"fill data\",[\"x\", \"y0\"],[[-22.076923076923073, -21.775641025641022, -21.47435897435897, -21.17307692307692, -20.87179487179487, -20.570512820512818, -20.269230769230766, -19.967948717948715, -19.666666666666664, -19.365384615384613, -19.064102564102562, -18.76282051282051, -18.46153846153846, -18.16025641025641, -17.858974358974358, -17.557692307692307, -17.256410256410255, -16.955128205128204, -16.653846153846153, -16.352564102564102, -16.05128205128205, -15.749999999999996, -15.448717948717945, -15.147435897435894, -14.846153846153843, -14.544871794871792, -14.243589743589741, -13.94230769230769, -13.641025641025639, -13.339743589743588], [0.0, 0.020248892638683874, 1.4545454545454546, 0.21261337270618066, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t6aceb773854a407fabd3757b2e3b2289\",\"vertex_data\",\"graph vertex data\",[\"x\", \"y\"],[[-17.557692307692307, -17.557692307692307], [-39.54545454545455, -0.45454545454545453]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t6aceb773854a407fabd3757b2e3b2289\",\"edge_data\",\"graph edge data\",[\"source\", \"target\"],[[0], [1]],\"toyplot\");\n",
       "})();</script></div></div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "canvas, axes, mark = qall.plot(\n",
    "    pct_tree_x=0.65,\n",
    "    width=900,\n",
    "    height=500,\n",
    "    style_tip_labels={\"font-size\": \"11px\"},\n",
    "    style_results_labels={\"font-size\": \"11px\"},\n",
    "    alpha=3.0,\n",
    "    subset_tests=neworder\n",
    ");"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# save figure\n",
    "import toyplot.svg\n",
    "toyplot.svg.render(canvas, \"figures/abba-baba.svg\")\n",
    "! cp figures/abba-baba.svg /home/deren/Dropbox/\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# join taxon names to test results in full_table\n",
    "qall.full_table = qall.results_table.copy()\n",
    "for col in qall.taxon_table.columns:\n",
    "    qall.full_table[col] = qall.taxon_table[col]\n",
    "    \n",
    "# save results table in new order, reset index, and save\n",
    "fulltable = qall.full_table.loc[neworder]\n",
    "fulltable.index = range(fulltable.shape[0])\n",
    "fulltable.to_csv(\"Table_S6.csv\", float_format=\"%.3f\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(35375.904761904763, 1180.7655167845865)"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import numpy as np\n",
    "fulltable.nloci.mean(), np.mean(fulltable.ABBA + fulltable.BABA)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}