{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Analysis of Ficus RAD-seq data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Table of contents\n",
    "[Software installation (conda)](#Required-software)  \n",
    "[The assembled RAD data](#The-assembled-data-sets)  \n",
    "[Phylogenetic analysis (raxml)](#Analysis-RAxML)  \n",
    "[Phylogenetic analysis (iqtree)](#Analysis-IQ-tree)  \n",
    "[Phylogenetic analysis (tetrad)](#Analysis-tetrad)  \n",
    "[Introgression analysis (ABBA-BABA)](#Analysis-ABBA-BABA)\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Required software\n",
    "All required software can be installed locally using *conda*. I assume here that you already have `ipyrad` installed using conda. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "## conda install toytree   -c eaton-lab\n",
    "## conda install ipyrad    -c ipyrad \n",
    "## conda install bpp       -c ipyrad \n",
    "## conda install structure -c ipyrad\n",
    "## conda install raxml     -c bioconda"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ipyrad v.0.6.20\n"
     ]
    }
   ],
   "source": [
    "## import packages\n",
    "import ipyrad as ip\n",
    "import ipyrad.analysis as ipa\n",
    "import numpy as np\n",
    "import toyplot\n",
    "import toytree\n",
    "import glob\n",
    "\n",
    "## print ipyrad info\n",
    "print \"ipyrad v.{}\".format(ip.__version__)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Cluster setup\n",
    "see more information on ipyparallel setup here. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "host compute node: [40 cores] on tinus\n"
     ]
    }
   ],
   "source": [
    "## print ipyparallel cluster information\n",
    "import ipyparallel as ipp\n",
    "ipyclient = ipp.Client()\n",
    "print ip.cluster_info(ipyclient)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### The assembled data sets\n",
    "The data set was assembled under a range of parameter settings in [link to the assembly notebook]. We can access all of the resulting data files from the ipyrad Assembly object directly, which stores the file paths. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "## load all assemblies created from the assembly notebook\n",
    "jsons = glob.glob(\"/home/deren/Documents/Ficus/analysis-ipyrad/ficus_d*.json\")\n",
    "dsets = [ip.load_json(path, quiet=True) for path in jsons]\n",
    "\n",
    "## convert to a dictionaries accessible by names\n",
    "dsets = {i.name: i for i in dsets}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'ficus_d': <ipyrad.core.assembly.Assembly at 0x7f055cbbbed0>,\n",
       " 'ficus_dhi': <ipyrad.core.assembly.Assembly at 0x7f057229f150>,\n",
       " 'ficus_dhi_f10': <ipyrad.core.assembly.Assembly at 0x7f055dedbf90>,\n",
       " 'ficus_dhi_f20': <ipyrad.core.assembly.Assembly at 0x7f055d8f4290>,\n",
       " 'ficus_dhi_f4': <ipyrad.core.assembly.Assembly at 0x7f055db7d090>,\n",
       " 'ficus_dhi_s10': <ipyrad.core.assembly.Assembly at 0x7f055dc22150>,\n",
       " 'ficus_dhi_s20': <ipyrad.core.assembly.Assembly at 0x7f055e1cb390>,\n",
       " 'ficus_dhi_s4': <ipyrad.core.assembly.Assembly at 0x7f055ddc23d0>,\n",
       " 'ficus_dlo': <ipyrad.core.assembly.Assembly at 0x7f055d58ffd0>,\n",
       " 'ficus_dlo_f10': <ipyrad.core.assembly.Assembly at 0x7f055d58fe90>,\n",
       " 'ficus_dlo_f20': <ipyrad.core.assembly.Assembly at 0x7f05943bb050>,\n",
       " 'ficus_dlo_f4': <ipyrad.core.assembly.Assembly at 0x7f055dca4250>,\n",
       " 'ficus_dlo_s10': <ipyrad.core.assembly.Assembly at 0x7f055ca10790>,\n",
       " 'ficus_dlo_s20': <ipyrad.core.assembly.Assembly at 0x7f0594301390>,\n",
       " 'ficus_dlo_s4': <ipyrad.core.assembly.Assembly at 0x7f055ddc22d0>}"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dsets"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### A function to select samples from clades\n",
    "For a given data set this function returns the samples in it that are from the selected clade. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [],
   "source": [
    "## get outgroup names\n",
    "def get_sample_names(data, clade):\n",
    "    \n",
    "    ## known clades\n",
    "    c1 = [\"tonduzii\", \"maxima\", \"yoponens\", \"glabrata\", \"insipida\"]\n",
    "    c2 = [\"nymph\", \"obtus\", \"popo\", \"bull\", \"citri\", \"paraen\"]\n",
    "    c3 = [\"pertus\", \"perfor\", \"dugan\", \"turbin\", \"colub\", \"costa\", \"tria\", \"trig\"]\n",
    "    \n",
    "    ## select clades from a dict\n",
    "    clades={\n",
    "        \"pharma\": c1,\n",
    "        \"urost1\": c2,\n",
    "        \"urost2\": c3,\n",
    "        \"urost\": c2+c3,\n",
    "    }\n",
    "    \n",
    "    ## return selected clade names\n",
    "    names = [i for i in data.samples if any([namebit in i for namebit in clades[clade]])]\n",
    "    return names"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Analysis `STRUCTURE`\n",
    "(Bayesian clustering analysis)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Create new assemblies (data files) for subclades\n",
    "Here we will load an assembly and the use the subsamples argument to `.branch()` to select a subset of samples to include in the new branch. Then we recreate the final output files for the assembly with those subsamples by running step7 of the ipyrad assembly. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "## parent clade to make branches from\n",
    "parent = dsets[\"ficus_dhi_s20\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "  Assembly: pharma-clade-min20\n",
      "  [####################] 100%  filtering loci        | 0:00:23 | s7 | \n",
      "  [####################] 100%  building loci/stats   | 0:00:34 | s7 | \n",
      "  [####################] 100%  building alleles      | 0:00:37 | s7 | \n",
      "  [####################] 100%  building vcf file     | 0:00:45 | s7 | \n",
      "  [####################] 100%  writing vcf file      | 0:00:00 | s7 | \n",
      "  [####################] 100%  building arrays       | 0:00:13 | s7 | \n",
      "  [####################] 100%  writing outfiles      | 0:00:03 | s7 | \n",
      "  Outfiles written to: ~/Documents/Ficus/analysis-ipyrad/pharma-clade-min20_outfiles\n",
      "\n",
      "  Assembly: urost-clade-min20\n",
      "  [####################] 100%  filtering loci        | 0:00:32 | s7 | \n",
      "  [####################] 100%  building loci/stats   | 0:00:35 | s7 | \n",
      "  [####################] 100%  building alleles      | 0:00:41 | s7 | \n",
      "  [####################] 100%  building vcf file     | 0:00:53 | s7 | \n",
      "  [####################] 100%  writing vcf file      | 0:00:00 | s7 | \n",
      "  [####################] 100%  building arrays       | 0:00:27 | s7 | \n",
      "  [####################] 100%  writing outfiles      | 0:00:16 | s7 | \n",
      "  Outfiles written to: ~/Documents/Ficus/analysis-ipyrad/urost-clade-min20_outfiles\n"
     ]
    }
   ],
   "source": [
    "## create subsampled pharma-clade branch\n",
    "subs = get_sample_names(parent, 'pharma')\n",
    "clade1 = parent.branch(\"pharma-clade-min20\", subsamples=subs)\n",
    "\n",
    "## create subsampled urostigma clade branch\n",
    "subs = get_sample_names(parent, 'urost')\n",
    "clade2 = parent.branch(\"urost-clade-min20\", subsamples=subs)\n",
    "\n",
    "## assemble data sets\n",
    "clade1.run(\"7\", force=True)\n",
    "clade2.run(\"7\", force=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Init structure objects for each subsampled data set\n",
    "By providing a mapfile each rep that we run will randomly sample a single unlinked SNP from each RAD locus. So each rep has a slightly different data set. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = ip.load_json(\"./analysis-ipyrad/pharma-clade-min20.json\", 1)\n",
    "pstruct = ipa.structure(\n",
    "    name=data.name, \n",
    "    workdir=\"./analysis-structure\",\n",
    "    strfile=data.outfiles.str, \n",
    "    mapfile=data.outfiles.snpsmap,    \n",
    ")\n",
    "\n",
    "data = data = ip.load_json(\"./analysis-ipyrad/urost-clade-min20.json\", 1)\n",
    "ustruct = ipa.structure(\n",
    "    name=data.name, \n",
    "    workdir=\"./analysis-structure/\",\n",
    "    strfile=data.outfiles.str, \n",
    "    mapfile=data.outfiles.snpsmap,    \n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [],
   "source": [
    "## set params for structure jobs\n",
    "pstruct.mainparams.burnin = 10000   ## up to 20K\n",
    "pstruct.mainparams.numreps = 50000  ## up to 100K\n",
    "ustruct.mainparams.burnin = 10000\n",
    "ustruct.mainparams.numreps = 50000"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "submitted 5 structure jobs [pharma-clade-min20-K-2]\n",
      "submitted 5 structure jobs [pharma-clade-min20-K-3]\n",
      "submitted 5 structure jobs [pharma-clade-min20-K-4]\n",
      "submitted 5 structure jobs [pharma-clade-min20-K-5]\n"
     ]
    }
   ],
   "source": [
    "## submit 'pharma' jobs for several values of K\n",
    "for kpop in [2, 3, 4, 5]:\n",
    "    pstruct.submit_structure_jobs(\n",
    "        kpop=kpop, \n",
    "        nreps=5, \n",
    "        seed=12345, \n",
    "        ipyclient=ipyclient)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "submitted 5 structure jobs [urost-clade-min20-K-2]\n",
      "submitted 5 structure jobs [urost-clade-min20-K-4]\n",
      "submitted 5 structure jobs [urost-clade-min20-K-6]\n",
      "submitted 5 structure jobs [urost-clade-min20-K-8]\n",
      "submitted 5 structure jobs [urost-clade-min20-K-10]\n",
      "submitted 5 structure jobs [urost-clade-min20-K-12]\n"
     ]
    }
   ],
   "source": [
    "for kpop in [2, 4, 6, 8, 10, 12]:\n",
    "    ustruct.submit_structure_jobs(\n",
    "        kpop=kpop,\n",
    "        nreps=5, \n",
    "        seed=54321,\n",
    "        ipyclient=ipyclient)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "## wait for jobs to finish\n",
    "ipyclient.wait()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### collect results and summarize w/ clumpp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [],
   "source": [
    "pstruct.clumppparams\n",
    "pstruct.clumppparams.m = 2\n",
    "pstruct.clumppparams.greedy_option = 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "mean scores across 5 replicates.\n",
      "mean scores across 5 replicates.\n",
      "mean scores across 5 replicates.\n",
      "mean scores across 5 replicates.\n"
     ]
    }
   ],
   "source": [
    "ptables = {}\n",
    "for kpop in [2, 3, 4, 5]:#, 4, 5]:\n",
    "    ptables[kpop] = pstruct.get_clumpp_table(kpop)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "utables = {}\n",
    "for kpop in [2, 4, 6, 8, 10, 12]:\n",
    "    utables[kpop] = ustruct.get_clumpp_table(kpop)   "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Plot the results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [],
   "source": [
    "## ordered alphabetically for now, replace with this tree-order later\n",
    "myorder = sorted(table.index.tolist(), key=lambda x: x.split(\"_\")[1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
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       "          var data_tables = [{\"title\": \"Bar Data\", \"names\": [\"left\", \"right\", \"baseline\", \"magnitude0\", \"magnitude1\", \"magnitude2\", \"magnitude3\", \"magnitude4\"], \"id\": \"t3de68fba3a4049d6a07b3ddedfc0bf90\", \"columns\": [[-0.5, 0.5, 1.5, 2.5, 3.5, 4.5, 5.5, 6.5, 7.5, 8.5, 9.5, 10.5, 11.5, 12.5, 13.5, 14.5, 15.5, 16.5, 17.5, 18.5, 19.5, 20.5, 21.5], [0.5, 1.5, 2.5, 3.5, 4.5, 5.5, 6.5, 7.5, 8.5, 9.5, 10.5, 11.5, 12.5, 13.5, 14.5, 15.5, 16.5, 17.5, 18.5, 19.5, 20.5, 21.5, 22.5], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0142, 0.0012, 0.0084, 0.0086, 0.0112, 0.012, 0.0, 0.0102, 0.0044, 0.0072, 0.01, 0.0076, 0.0, 0.0, 0.0004, 0.002, 0.0022, 0.0068, 0.2074, 0.953, 0.0006, 0.0028, 0.0014], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0066, 1.0, 0.9898, 0.9956, 0.9928, 0.99, 0.9924, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.696, 0.9988, 0.9916, 0.9914, 0.5148, 0.9814, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0002, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.5171, 0.0, 0.0, 0.0, 0.9994, 0.9972, 0.9986], [0.2898, 0.0, 0.0, 0.0, 0.474, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.9998, 0.9996, 0.998, 0.4807, 0.9932, 0.7926, 0.047, 0.0, 0.0, 0.0]], \"filename\": \"toyplot\"}];\n",
       "\n",
       "          function save_csv(data_table)\n",
       "          {\n",
       "            var uri = \"data:text/csv;charset=utf-8,\";\n",
       "            uri += data_table.names.join(\",\") + \"\\n\";\n",
       "            for(var i = 0; i != data_table.columns[0].length; ++i)\n",
       "            {\n",
       "              for(var j = 0; j != data_table.columns.length; ++j)\n",
       "              {\n",
       "                if(j)\n",
       "                  uri += \",\";\n",
       "                uri += data_table.columns[j][i];\n",
       "              }\n",
       "              uri += \"\\n\";\n",
       "            }\n",
       "            uri = encodeURI(uri);\n",
       "\n",
       "            var link = document.createElement(\"a\");\n",
       "            if(typeof link.download != \"undefined\")\n",
       "            {\n",
       "              link.href = uri;\n",
       "              link.style = \"visibility:hidden\";\n",
       "              link.download = data_table.filename + \".csv\";\n",
       "\n",
       "              document.body.appendChild(link);\n",
       "              link.click();\n",
       "              document.body.removeChild(link);\n",
       "            }\n",
       "            else\n",
       "            {\n",
       "              window.open(uri);\n",
       "            }\n",
       "          }\n",
       "\n",
       "          function open_popup(data_table)\n",
       "          {\n",
       "            return function(e)\n",
       "            {\n",
       "              var popup = document.querySelector(\"#t6958ec67eb954a16bcc1f5b3ad1e6c7f .toyplot-mark-popup\");\n",
       "              popup.querySelector(\".toyplot-mark-popup-title\").innerHTML = data_table.title;\n",
       "              popup.querySelector(\".toyplot-mark-popup-save-csv\").onclick = function() { popup.style.visibility = \"hidden\"; save_csv(data_table); }\n",
       "              popup.style.left = (e.clientX - 50) + \"px\";\n",
       "              popup.style.top = (e.clientY - 20) + \"px\";\n",
       "              popup.style.visibility = \"visible\";\n",
       "              e.stopPropagation();\n",
       "              e.preventDefault();\n",
       "            }\n",
       "\n",
       "          }\n",
       "\n",
       "          for(var i = 0; i != data_tables.length; ++i)\n",
       "          {\n",
       "            var data_table = data_tables[i];\n",
       "            var event_target = document.querySelector(\"#\" + data_table.id);\n",
       "            event_target.oncontextmenu = open_popup(data_table);\n",
       "          }\n",
       "        })();\n",
       "        </script><script>\n",
       "        (function()\n",
       "        {\n",
       "            function _sign(x)\n",
       "            {\n",
       "                return x < 0 ? -1 : x > 0 ? 1 : 0;\n",
       "            }\n",
       "\n",
       "            function _mix(a, b, amount)\n",
       "            {\n",
       "                return ((1.0 - amount) * a) + (amount * b);\n",
       "            }\n",
       "\n",
       "            function _log(x, base)\n",
       "            {\n",
       "                return Math.log(Math.abs(x)) / Math.log(base);\n",
       "            }\n",
       "\n",
       "            function _in_range(a, x, b)\n",
       "            {\n",
       "                var left = Math.min(a, b);\n",
       "                var right = Math.max(a, b);\n",
       "                return left <= x && x <= right;\n",
       "            }\n",
       "\n",
       "            function inside(range, projection)\n",
       "            {\n",
       "                for(var i = 0; i != projection.length; ++i)\n",
       "                {\n",
       "                    var segment = projection[i];\n",
       "                    if(_in_range(segment.range.min, range, segment.range.max))\n",
       "                        return true;\n",
       "                }\n",
       "                return false;\n",
       "            }\n",
       "\n",
       "            function to_domain(range, projection)\n",
       "            {\n",
       "                for(var i = 0; i != projection.length; ++i)\n",
       "                {\n",
       "                    var segment = projection[i];\n",
       "                    if(_in_range(segment.range.bounds.min, range, segment.range.bounds.max))\n",
       "                    {\n",
       "                        if(segment.scale == \"linear\")\n",
       "                        {\n",
       "                            var amount = (range - segment.range.min) / (segment.range.max - segment.range.min);\n",
       "                            return _mix(segment.domain.min, segment.domain.max, amount)\n",
       "                        }\n",
       "                        else if(segment.scale[0] == \"log\")\n",
       "                        {\n",
       "                            var amount = (range - segment.range.min) / (segment.range.max - segment.range.min);\n",
       "                            var base = segment.scale[1];\n",
       "                            return _sign(segment.domain.min) * Math.pow(base, _mix(_log(segment.domain.min, base), _log(segment.domain.max, base), amount));\n",
       "                        }\n",
       "                    }\n",
       "                }\n",
       "            }\n",
       "\n",
       "            function display_coordinates(e)\n",
       "            {\n",
       "                var current = svg.createSVGPoint();\n",
       "                current.x = e.clientX;\n",
       "                current.y = e.clientY;\n",
       "\n",
       "                for(var axis_id in axes)\n",
       "                {\n",
       "                    var axis = document.querySelector(\"#\" + axis_id);\n",
       "                    var coordinates = axis.querySelector(\".toyplot-coordinates-Axis-coordinates\");\n",
       "                    if(coordinates)\n",
       "                    {\n",
       "                        var projection = axes[axis_id];\n",
       "                        var local = current.matrixTransform(axis.getScreenCTM().inverse());\n",
       "                        if(inside(local.x, projection))\n",
       "                        {\n",
       "                            var domain = to_domain(local.x, projection);\n",
       "                            coordinates.style.visibility = \"visible\";\n",
       "                            coordinates.setAttribute(\"transform\", \"translate(\" + local.x + \")\");\n",
       "                            var text = coordinates.querySelector(\"text\");\n",
       "                            text.textContent = domain.toFixed(2);\n",
       "                        }\n",
       "                        else\n",
       "                        {\n",
       "                            coordinates.style.visibility= \"hidden\";\n",
       "                        }\n",
       "                    }\n",
       "                }\n",
       "            }\n",
       "\n",
       "            var root_id = \"t6958ec67eb954a16bcc1f5b3ad1e6c7f\";\n",
       "            var axes = {\"t88f3949d81d9434597616c567e2da41e\": [{\"domain\": {\"bounds\": {\"max\": Infinity, \"min\": -Infinity}, \"max\": 22.5, \"min\": -0.5}, \"range\": {\"bounds\": {\"max\": Infinity, \"min\": -Infinity}, \"max\": 510.0, \"min\": 0.0}, \"scale\": \"linear\"}]};\n",
       "\n",
       "            var svg = document.querySelector(\"#\" + root_id + \" svg\");\n",
       "            svg.addEventListener(\"click\", display_coordinates);\n",
       "        })();\n",
       "        </script></div></div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for kpop in [2, 3, 4, 5]:\n",
    "    ## parse outfile to a table and re-order it\n",
    "    table = ptables[kpop]\n",
    "    table = table.ix[myorder]\n",
    "    \n",
    "    ## further styling of plot with css \n",
    "    style = {\"stroke\":toyplot.color.near_black, \n",
    "             \"stroke-width\": 1.5}\n",
    "    \n",
    "    ## plot barplot w/ hover\n",
    "    canvas = toyplot.Canvas(width=600, height=250)\n",
    "    axes = canvas.cartesian(bounds=(\"5%\", \"90%\", \"10%\", \"45%\"))\n",
    "    axes.bars(table, style=style)#title=hover(table), style=style)\n",
    "\n",
    "    ticklabels = [i for i in table.index.tolist()]\n",
    "    axes.x.ticks.locator = toyplot.locator.Explicit(labels=ticklabels)\n",
    "    axes.x.ticks.labels.angle = -60\n",
    "    axes.x.ticks.show = True\n",
    "    axes.x.ticks.labels.offset = 10\n",
    "    axes.x.ticks.labels.style = {\"font-size\": \"12px\"}\n",
    "    axes.x.spine.style = style\n",
    "    axes.y.show = False"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Analysis `RAxML`\n",
    "(Maximum Likelihood & rapid bootstrapping)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "' -f a -T 40 -m GTRGAMMA -N 100 -x 12345 -p 54321 -n ficus_dlo_f4 -w /home/deren/Documents/Ficus/analysis-raxml -s /home/deren/Documents/Ficus/analysis-ipyrad/ficus_dlo_f4_outfiles/ficus_dlo_f4.phy -o C17_maxima,B119_maxima,B130_glabrataXmaxima,C15_insipida,B134_glabrata,B133_glabrata,A97_glabrata,C46_yoponensis,C18_maxima,B123_maxima,B128_insipida,B126_insipida,B127_insipida,A94_maxima,A96_glabrata,C48_tonduzii,A95_insipida,C50_insipida,C47_yoponensis,B120_maxima,C45_yoponensis,B131_glabrataXmaxima,B118_maxima'"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## data sets for which we want to infer an ML tree\n",
    "keys = [\n",
    "    \"ficus_dhi_s20\", \n",
    "    \"ficus_dhi_s10\",\n",
    "    \"ficus_dhi_s4\",\n",
    "    \"ficus_dlo_f20\", \n",
    "    \"ficus_dlo_f10\", \n",
    "    \"ficus_dlo_f4\",\n",
    "]\n",
    "\n",
    "## a dictionary of raxml objects\n",
    "raxdict = {}\n",
    "\n",
    "## iterate over keys\n",
    "for key in keys:\n",
    "    ## select a data set\n",
    "    data = dsets[key]\n",
    "    \n",
    "    ## init a raxml object\n",
    "    raxdict[key] = ipa.raxml(\n",
    "        name=data.name, \n",
    "        data=data.outfiles.phy, \n",
    "        o=get_sample_names(data, \"pharma\"),\n",
    "        N=100, \n",
    "        T=20)\n",
    "    \n",
    "## print the last rax command for prosperities sake\n",
    "raxdict[key].command"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Run the raxml analysis for each object"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "## call raxml on each data set (command above)\n",
    "for rax in raxdict:\n",
    "    raxdict[rax].run()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Plot the results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "## plot the tree\n",
    "tre = toytree.tree(rax.trees.bipartitions)\n",
    "tre.draw(\n",
    "    width=500, \n",
    "    height=1000,\n",
    "    node_labels=tre.get_node_values(\"support\"),\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Analysis BPP"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Analysis `IQ-TREE`\n",
    "(Polymorphism-aware model)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Convert .loci file to the \"counts\" file format used by iqtree"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "## ip.file_conversion.loci2counts()\n",
    "import os\n",
    "\n",
    "DIR = \"/home/deren/Documents/ipyrad/tests/analysis-ipyrad/\"\n",
    "LOCIFILE = os.path.join(DIR, \"ped_min10_outfiles/ped_min10.loci\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "POPDICT = {\n",
    "    \"prz\": [\"32082_przewalskii\", \"33588_przewalskii\"],\n",
    "    \"cys\": [\"41478_cyathophylloides\", \"41954_cyathophylloides\"], \n",
    "    \"cya\": [\"30686_cyathophylla\"],\n",
    "    \"sup\": [\"29154_superba\"],\n",
    "    \"tha\": [\"33413_thamno\", \"30556_thamno\"], \n",
    "    \"rex\": [\"35236_rex\", \n",
    "            \"40578_rex\", \"35855_rex\",\n",
    "            \"39618_rex\", \"38362_rex\"],\n",
    "    }\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'./ped.cf'"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## generate the 'counts' file\n",
    "loci2cf(\"ped.cf\", LOCIFILE, POPDICT)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "%%bash\n",
    "\n",
    "## ensure output dir\n",
    "mkdir -p analysis-iqtree\n",
    "\n",
    "## run pomo inference w/ 100 bootstraps\n",
    "iqtree-pomo -s ped.cf \\\n",
    "            -m HKY+rP+N5+W+F \\\n",
    "            -o prz \\\n",
    "            -b 100 \\\n",
    "            -prefix analysis-iqtree/ped.cf \\\n",
    "            -redo \\\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### real thing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'./ficus.cf'"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "locifile = \"./analysis_ipyrad/ficus_c85d6f2_min20_outfiles/ficus_c85d6f2_min20.loci\"\n",
    "loci2cf(\"ficus.cf\", locifile, clades)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "iqtree -s ficus.cf -m HKY+rp+N5+W+F -b 100 -o C48_tonduzii,C18_maxima,A94_maxima,C17_maxima,B119_maxima,B120_maxima,B123_maxima,C45_yoponensis,C46_yoponensis,C47_yoponensis,B130_glabrataXmaxima,A96_glabrata,A97_glabrata,B133_glabrata,B131_glabrataXmaxima,B134_glabrata,A95_insipida,B127_insipida,B128_insipida,C50_insipida,B126_insipida,C15_insipida\n"
     ]
    }
   ],
   "source": [
    "\n",
    "print \"iqtree -s ficus.cf -m HKY+rP+N5+W+F -b 100 -o\", rootstr\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Analysis `tetrad`\n",
    "(Inference by phylogenetic invariants within quartets)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import ipyrad as ip"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  loading Assembly: lodepth_min4\n",
      "  from saved path: ~/Documents/Ficus/analysis-ipyrad/lodepth_min4.json\n"
     ]
    }
   ],
   "source": [
    "data = ip.load_json(\"analysis-ipyrad/lodepth_min4.json\")\n",
    "#data.stats"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "loading seq array [95 taxa x 617503 bp]\n",
      "max unlinked SNPs per quartet (nloci): 81509\n",
      "host compute node: [40 cores] on tinus\n",
      "inferring 3183545 induced quartet trees\n",
      "[####################] 100%  initial tree | 2:57:03 |  \n",
      "[#                   ]   5%  boot 5       | 13:41:05 |  \n",
      "Keyboard Interrupt by user. Cleaning up...\n"
     ]
    }
   ],
   "source": [
    "import ipyrad.analysis as ipa\n",
    "\n",
    "tet = ipa.tetrad(\"ficus_85d6f2_min4_s3K\", \n",
    "                 seqfile=data.outfiles.snpsphy, \n",
    "                 mapfile=data.outfiles.snpsmap,\n",
    "                 workdir=\"analysis-tetrad\", \n",
    "                 nboots=100,\n",
    "                 );\n",
    "tet.run()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import toytree\n",
    "import toyplot\n",
    "import toyplot.pdf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  loading Assembly: lodepth_min4\n",
      "  from saved path: ~/Documents/Ficus/analysis-ipyrad/lodepth_min4.json\n"
     ]
    },
    {
     "data": {
      "image/png": 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a8xJN65/Z8cq89d+VaHtqT3LG2/fmjarFiwIREa1bvaJz/TM75mx7IF03ek6y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\npF6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csSOll7t706kZDhUhhBBCswTT6AAQQs8LCv6mhF72Gh3HdOnuTec3bdv9XHK4VNq4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style=\"font-size:7.0px\">B128_insipida</tspan></text><text class=\"toyplot-Datum\" style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(278.5739757641071,255.0841898097529)translate(15.0,1.96875)\"><tspan style=\"font-size:7.0px\">C15_insipida</tspan></text><text class=\"toyplot-Datum\" style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(280.82632405964472,266.74684743785991)translate(15.0,1.96875)\"><tspan style=\"font-size:7.0px\">C50_insipida</tspan></text><text class=\"toyplot-Datum\" style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(280.72916162929096,278.40950506596693)translate(15.0,1.96875)\"><tspan style=\"font-size:7.0px\">B126_insipida</tspan></text><text class=\"toyplot-Datum\" style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(265.31644816662913,290.07216269407394)translate(15.0,1.96875)\"><tspan style=\"font-size:7.0px\">B130_glabrataXmaxima</tspan></text><text class=\"toyplot-Datum\" style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(274.70518804342026,301.73482032218089)translate(15.0,1.96875)\"><tspan style=\"font-size:7.0px\">A96_glabrata</tspan></text><text class=\"toyplot-Datum\" style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(279.96159817747298,313.39747795028796)translate(15.0,1.96875)\"><tspan style=\"font-size:7.0px\">B131_glabrataXmaxima</tspan></text><text class=\"toyplot-Datum\" style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(280.87667013969923,325.06013557839492)translate(15.0,1.96875)\"><tspan style=\"font-size:7.0px\">B134_glabrata</tspan></text><text class=\"toyplot-Datum\" style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(284.07816405126607,336.72279320650193)translate(15.0,1.96875)\"><tspan style=\"font-size:7.0px\">A97_glabrata</tspan></text><text class=\"toyplot-Datum\" style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(281.46875131794593,348.38545083460895)translate(15.0,1.96875)\"><tspan style=\"font-size:7.0px\">B133_glabrata</tspan></text><text class=\"toyplot-Datum\" style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(301.7263813006453,360.04810846271602)translate(15.0,1.96875)\"><tspan style=\"font-size:7.0px\">A33_nymphaeifolia</tspan></text><text class=\"toyplot-Datum\" style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(283.62927876971912,371.71076609082297)translate(15.0,1.96875)\"><tspan style=\"font-size:7.0px\">A41_nymphaeifolia</tspan></text><text class=\"toyplot-Datum\" style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(281.01649295445691,383.37342371892987)translate(15.0,1.96875)\"><tspan style=\"font-size:7.0px\">C19_nymphaeifolia</tspan></text><text class=\"toyplot-Datum\" style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(283.3928226930874,395.03608134703688)translate(15.0,1.96875)\"><tspan style=\"font-size:7.0px\">A42_nymphaeifolia</tspan></text><text class=\"toyplot-Datum\" style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(287.43651103591594,406.69873897514395)translate(15.0,1.96875)\"><tspan style=\"font-size:7.0px\">C21_obtusifolia</tspan></text><text class=\"toyplot-Datum\" style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(278.27792858166708,418.36139660325097)translate(15.0,1.96875)\"><tspan style=\"font-size:7.0px\">B102_obtusifolia</tspan></text><text class=\"toyplot-Datum\" style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(279.78303404666553,430.02405423135792)translate(15.0,1.96875)\"><tspan style=\"font-size:7.0px\">C22_obtusifolia</tspan></text><text class=\"toyplot-Datum\" style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(281.13917897093353,441.68671185946494)translate(15.0,1.96875)\"><tspan style=\"font-size:7.0px\">C24_obtusifolia</tspan></text><text class=\"toyplot-Datum\" style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(285.49114716129327,453.34936948757195)translate(15.0,1.96875)\"><tspan style=\"font-size:7.0px\">C27_popenoei</tspan></text><text class=\"toyplot-Datum\" style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(285.3849713065074,465.01202711567896)translate(15.0,1.96875)\"><tspan style=\"font-size:7.0px\">C26_popenoei</tspan></text><text class=\"toyplot-Datum\" style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(284.44676470012678,476.67468474378597)translate(15.0,1.96875)\"><tspan style=\"font-size:7.0px\">C25_popenoei</tspan></text><text class=\"toyplot-Datum\" style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(292.10120597213597,488.33734237189299)translate(15.0,1.96875)\"><tspan style=\"font-size:7.0px\">A72_bullenei</tspan></text><text class=\"toyplot-Datum\" style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(286.20766618261985,500.0)translate(15.0,1.96875)\"><tspan style=\"font-size:7.0px\">A67_bullenei</tspan></text><text class=\"toyplot-Datum\" style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(289.58479050985227,511.66265762810701)translate(15.0,1.96875)\"><tspan style=\"font-size:7.0px\">A70_bullenei</tspan></text><text class=\"toyplot-Datum\" style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(300.40663565851469,523.32531525621403)translate(15.0,1.96875)\"><tspan style=\"font-size:7.0px\">A19_citrifolia</tspan></text><text class=\"toyplot-Datum\" style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(301.99799817445233,534.98797288432104)translate(15.0,1.96875)\"><tspan style=\"font-size:7.0px\">C53_citrifolia</tspan></text><text class=\"toyplot-Datum\" style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(314.6832685357723,546.65063051242805)translate(15.0,1.96875)\"><tspan style=\"font-size:7.0px\">A01_paraensis</tspan></text><text class=\"toyplot-Datum\" style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(306.69737300225842,558.31328814053495)translate(15.0,1.96875)\"><tspan style=\"font-size:7.0px\">A02_paraensis</tspan></text><text class=\"toyplot-Datum\" style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(297.08269582850079,569.97594576864208)translate(15.0,1.96875)\"><tspan style=\"font-size:7.0px\">A04_paraensis</tspan></text><text class=\"toyplot-Datum\" style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(299.62663252926552,581.63860339674898)translate(15.0,1.96875)\"><tspan style=\"font-size:7.0px\">A05_paraensis</tspan></text><text class=\"toyplot-Datum\" style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(285.39259191977351,593.3012610248561)translate(15.0,1.96875)\"><tspan style=\"font-size:7.0px\">C28_pertusa</tspan></text><text class=\"toyplot-Datum\" style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(285.97819200344679,604.963918652963)translate(15.0,1.96875)\"><tspan style=\"font-size:7.0px\">A65_pertusa</tspan></text><text class=\"toyplot-Datum\" style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(286.05696788124459,616.62657628107013)translate(15.0,1.96875)\"><tspan style=\"font-size:7.0px\">A85_perforata</tspan></text><text class=\"toyplot-Datum\" style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(287.25655700250638,628.28923390917703)translate(15.0,1.96875)\"><tspan style=\"font-size:7.0px\">A84_perforata</tspan></text><text class=\"toyplot-Datum\" style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(289.50833584273943,639.95189153728415)translate(15.0,1.96875)\"><tspan style=\"font-size:7.0px\">C51_perforata</tspan></text><text class=\"toyplot-Datum\" style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(294.46622459224602,651.61454916539094)translate(15.0,1.96875)\"><tspan style=\"font-size:7.0px\">A82_perforata</tspan></text><text class=\"toyplot-Datum\" style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(292.64552907894466,663.27720679349807)translate(15.0,1.96875)\"><tspan style=\"font-size:7.0px\">A83_perforata</tspan></text><text class=\"toyplot-Datum\" style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(277.61677385015861,674.93986442160497)translate(15.0,1.96875)\"><tspan style=\"font-size:7.0px\">C14_dugandii</tspan></text><text class=\"toyplot-Datum\" style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(284.20313511051506,686.60252204971209)translate(15.0,1.96875)\"><tspan style=\"font-size:7.0px\">A59_dugandii</tspan></text><text class=\"toyplot-Datum\" style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(282.93227493041121,698.26517967781911)translate(15.0,1.96875)\"><tspan style=\"font-size:7.0px\">C49_dugandii</tspan></text><text class=\"toyplot-Datum\" style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(289.45924083015024,709.92783730592612)translate(15.0,1.96875)\"><tspan style=\"font-size:7.0px\">C12_dugandii</tspan></text><text class=\"toyplot-Datum\" style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(308.75730951165798,721.59049493403313)translate(15.0,1.96875)\"><tspan style=\"font-size:7.0px\">A61_turbinata</tspan></text><text class=\"toyplot-Datum\" style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(268.41452919728022,733.25315256214014)translate(15.0,1.96875)\"><tspan style=\"font-size:7.0px\">C04_colubrinae</tspan></text><text class=\"toyplot-Datum\" style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(294.32601573596162,744.91581019024716)translate(15.0,1.96875)\"><tspan style=\"font-size:7.0px\">A77_colubrinae</tspan></text><text class=\"toyplot-Datum\" style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(291.46325977311329,756.57846781835406)translate(15.0,1.96875)\"><tspan style=\"font-size:7.0px\">C5_colubrinae</tspan></text><text class=\"toyplot-Datum\" style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(296.70467056110385,768.24112544646107)translate(15.0,1.96875)\"><tspan style=\"font-size:7.0px\">A87_costaricana</tspan></text><text class=\"toyplot-Datum\" style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(281.66269889136589,779.90378307456808)translate(15.0,1.96875)\"><tspan style=\"font-size:7.0px\">C11_costaricana</tspan></text><text class=\"toyplot-Datum\" style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(288.88594361527964,791.5664407026751)translate(15.0,1.96875)\"><tspan style=\"font-size:7.0px\">C31_triangle</tspan></text><text class=\"toyplot-Datum\" style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(304.16104460153878,803.22909833078211)translate(15.0,1.96875)\"><tspan style=\"font-size:7.0px\">A55_triangle</tspan></text><text class=\"toyplot-Datum\" style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(281.72426152906792,814.89175595888923)translate(15.0,1.96875)\"><tspan style=\"font-size:7.0px\">C30_triangle</tspan></text><text class=\"toyplot-Datum\" style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(297.64543775078295,826.55441358699613)translate(15.0,1.96875)\"><tspan style=\"font-size:7.0px\">A48_trigonata</tspan></text><text class=\"toyplot-Datum\" style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(290.2287069007067,838.21707121510326)translate(15.0,1.96875)\"><tspan style=\"font-size:7.0px\">A49_trigonata</tspan></text><text class=\"toyplot-Datum\" style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(291.39951473114149,849.87972884321016)translate(15.0,1.96875)\"><tspan style=\"font-size:7.0px\">C36_trigonata</tspan></text><text class=\"toyplot-Datum\" style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(292.82733184323297,861.54238647131706)translate(15.0,1.96875)\"><tspan style=\"font-size:7.0px\">C37_trigonata</tspan></text><text class=\"toyplot-Datum\" style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(290.64289919679391,873.20504409942407)translate(15.0,1.96875)\"><tspan style=\"font-size:7.0px\">C43_trigonata</tspan></text><text class=\"toyplot-Datum\" style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(304.79952135994449,884.86770172753108)translate(15.0,1.96875)\"><tspan style=\"font-size:7.0px\">C41_trigonata</tspan></text><text class=\"toyplot-Datum\" style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(293.30383361730173,896.5303593556381)translate(15.0,1.96875)\"><tspan style=\"font-size:7.0px\">C39_trigonata</tspan></text></g></g><g class=\"toyplot-mark-Graph\" 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style=\"fill:rgb(40%,76.1%,64.7%);fill-opacity:1.0;opacity:1.0;stroke:rgb(100%,100%,100%);stroke-opacity:1.0;stroke-width:1.0\" width=\"8.6495236059867011\" x=\"440.00000000000006\" y=\"610.14492753623188\"><title>A85_perforata: 1.585941</title></rect><rect class=\"toyplot-Datum\" height=\"11.594202898550748\" style=\"fill:rgb(40%,76.1%,64.7%);fill-opacity:1.0;opacity:1.0;stroke:rgb(100%,100%,100%);stroke-opacity:1.0;stroke-width:1.0\" width=\"74.877539280266944\" x=\"440.00000000000006\" y=\"598.55072463768113\"><title>A65_pertusa: 13.729237</title></rect><rect class=\"toyplot-Datum\" height=\"11.594202898550634\" style=\"fill:rgb(40%,76.1%,64.7%);fill-opacity:1.0;opacity:1.0;stroke:rgb(100%,100%,100%);stroke-opacity:1.0;stroke-width:1.0\" width=\"108.86267817273227\" x=\"440.00000000000006\" y=\"586.95652173913049\"><title>C28_pertusa: 19.960612</title></rect><rect class=\"toyplot-Datum\" height=\"11.594202898550861\" 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style=\"fill:rgb(40%,76.1%,64.7%);fill-opacity:1.0;opacity:1.0;stroke:rgb(100%,100%,100%);stroke-opacity:1.0;stroke-width:1.0\" width=\"3.4584056150289371\" x=\"440.00000000000006\" y=\"540.5797101449275\"><title>A01_paraensis: 0.634119</title></rect><rect class=\"toyplot-Datum\" height=\"11.594202898550748\" style=\"fill:rgb(40%,76.1%,64.7%);fill-opacity:1.0;opacity:1.0;stroke:rgb(100%,100%,100%);stroke-opacity:1.0;stroke-width:1.0\" width=\"1.902344242887807\" x=\"440.00000000000006\" y=\"528.98550724637676\"><title>C53_citrifolia: 0.348806</title></rect><rect class=\"toyplot-Datum\" height=\"11.594202898550748\" style=\"fill:rgb(40%,76.1%,64.7%);fill-opacity:1.0;opacity:1.0;stroke:rgb(100%,100%,100%);stroke-opacity:1.0;stroke-width:1.0\" width=\"3.2568194957947298\" x=\"440.00000000000006\" y=\"517.39130434782601\"><title>A19_citrifolia: 0.597157</title></rect><rect class=\"toyplot-Datum\" height=\"11.594202898550634\" style=\"fill:rgb(40%,76.1%,64.7%);fill-opacity:1.0;opacity:1.0;stroke:rgb(100%,100%,100%);stroke-opacity:1.0;stroke-width:1.0\" width=\"4.1116980043064473\" x=\"440.00000000000006\" y=\"505.79710144927537\"><title>A70_bullenei: 0.753904</title></rect><rect class=\"toyplot-Datum\" height=\"11.594202898550748\" style=\"fill:rgb(40%,76.1%,64.7%);fill-opacity:1.0;opacity:1.0;stroke:rgb(100%,100%,100%);stroke-opacity:1.0;stroke-width:1.0\" width=\"7.2281511251557617\" x=\"440.00000000000006\" y=\"494.20289855072463\"><title>A67_bullenei: 1.325324</title></rect><rect class=\"toyplot-Datum\" height=\"11.594202898550691\" style=\"fill:rgb(40%,76.1%,64.7%);fill-opacity:1.0;opacity:1.0;stroke:rgb(100%,100%,100%);stroke-opacity:1.0;stroke-width:1.0\" width=\"1.5846887608068414\" x=\"440.00000000000006\" y=\"482.60869565217394\"><title>A72_bullenei: 0.290562</title></rect><rect class=\"toyplot-Datum\" height=\"11.594202898550748\" style=\"fill:rgb(40%,76.1%,64.7%);fill-opacity:1.0;opacity:1.0;stroke:rgb(100%,100%,100%);stroke-opacity:1.0;stroke-width:1.0\" width=\"80.220389521189929\" x=\"440.00000000000006\" y=\"471.01449275362319\"><title>C25_popenoei: 14.70888</title></rect><rect class=\"toyplot-Datum\" height=\"11.594202898550748\" style=\"fill:rgb(40%,76.1%,64.7%);fill-opacity:1.0;opacity:1.0;stroke:rgb(100%,100%,100%);stroke-opacity:1.0;stroke-width:1.0\" width=\"28.991974740145224\" x=\"440.00000000000006\" y=\"459.42028985507244\"><title>C26_popenoei: 5.315849</title></rect><rect class=\"toyplot-Datum\" height=\"11.594202898550691\" style=\"fill:rgb(40%,76.1%,64.7%);fill-opacity:1.0;opacity:1.0;stroke:rgb(100%,100%,100%);stroke-opacity:1.0;stroke-width:1.0\" width=\"8.1099390517807137\" x=\"440.00000000000006\" y=\"447.82608695652175\"><title>C27_popenoei: 1.487005</title></rect><rect class=\"toyplot-Datum\" height=\"11.594202898550748\" style=\"fill:rgb(40%,76.1%,64.7%);fill-opacity:1.0;opacity:1.0;stroke:rgb(100%,100%,100%);stroke-opacity:1.0;stroke-width:1.0\" width=\"49.424643870742727\" x=\"440.00000000000006\" y=\"436.231884057971\"><title>C24_obtusifolia: 9.062299</title></rect><rect class=\"toyplot-Datum\" height=\"11.594202898550691\" style=\"fill:rgb(40%,76.1%,64.7%);fill-opacity:1.0;opacity:1.0;stroke:rgb(100%,100%,100%);stroke-opacity:1.0;stroke-width:1.0\" width=\"67.533624209251457\" x=\"440.00000000000006\" y=\"424.63768115942031\"><title>C22_obtusifolia: 12.382687</title></rect><rect class=\"toyplot-Datum\" height=\"11.594202898550748\" style=\"fill:rgb(40%,76.1%,64.7%);fill-opacity:1.0;opacity:1.0;stroke:rgb(100%,100%,100%);stroke-opacity:1.0;stroke-width:1.0\" width=\"36.666710946935666\" x=\"440.00000000000006\" y=\"413.04347826086956\"><title>B102_obtusifolia: 6.723057</title></rect><rect class=\"toyplot-Datum\" height=\"11.594202898550748\" style=\"fill:rgb(40%,76.1%,64.7%);fill-opacity:1.0;opacity:1.0;stroke:rgb(100%,100%,100%);stroke-opacity:1.0;stroke-width:1.0\" width=\"1.5735519485272675\" x=\"440.00000000000006\" y=\"401.44927536231882\"><title>C21_obtusifolia: 0.28852</title></rect><rect class=\"toyplot-Datum\" height=\"11.594202898550634\" style=\"fill:rgb(40%,76.1%,64.7%);fill-opacity:1.0;opacity:1.0;stroke:rgb(100%,100%,100%);stroke-opacity:1.0;stroke-width:1.0\" width=\"31.702915910249942\" x=\"440.00000000000006\" y=\"389.85507246376818\"><title>A42_nymphaeifolia: 5.812916</title></rect><rect class=\"toyplot-Datum\" height=\"11.594202898550805\" style=\"fill:rgb(40%,76.1%,64.7%);fill-opacity:1.0;opacity:1.0;stroke:rgb(100%,100%,100%);stroke-opacity:1.0;stroke-width:1.0\" width=\"49.813128824456669\" x=\"440.00000000000006\" y=\"378.26086956521738\"><title>C19_nymphaeifolia: 9.13353</title></rect><rect class=\"toyplot-Datum\" height=\"11.594202898550634\" style=\"fill:rgb(40%,76.1%,64.7%);fill-opacity:1.0;opacity:1.0;stroke:rgb(100%,100%,100%);stroke-opacity:1.0;stroke-width:1.0\" width=\"14.335373485045125\" x=\"440.00000000000006\" y=\"366.66666666666674\"><title>A41_nymphaeifolia: 2.628475</title></rect><rect class=\"toyplot-Datum\" height=\"11.594202898550805\" style=\"fill:rgb(40%,76.1%,64.7%);fill-opacity:1.0;opacity:1.0;stroke:rgb(100%,100%,100%);stroke-opacity:1.0;stroke-width:1.0\" width=\"3.8302617045703755\" x=\"440.00000000000006\" y=\"355.07246376811594\"><title>A33_nymphaeifolia: 0.702301</title></rect><rect class=\"toyplot-Datum\" height=\"11.594202898550691\" style=\"fill:rgb(40%,76.1%,64.7%);fill-opacity:1.0;opacity:1.0;stroke:rgb(100%,100%,100%);stroke-opacity:1.0;stroke-width:1.0\" width=\"22.985082522773951\" x=\"440.00000000000006\" y=\"343.47826086956525\"><title>B133_glabrata: 4.21445</title></rect><rect class=\"toyplot-Datum\" height=\"11.594202898550805\" style=\"fill:rgb(40%,76.1%,64.7%);fill-opacity:1.0;opacity:1.0;stroke:rgb(100%,100%,100%);stroke-opacity:1.0;stroke-width:1.0\" width=\"26.658338080476824\" x=\"440.00000000000006\" y=\"331.88405797101444\"><title>A97_glabrata: 4.887963</title></rect><rect class=\"toyplot-Datum\" height=\"11.594202898550691\" style=\"fill:rgb(40%,76.1%,64.7%);fill-opacity:1.0;opacity:1.0;stroke:rgb(100%,100%,100%);stroke-opacity:1.0;stroke-width:1.0\" width=\"38.827945171262002\" x=\"440.00000000000006\" y=\"320.28985507246375\"><title>B134_glabrata: 7.119332</title></rect><rect class=\"toyplot-Datum\" height=\"11.594202898550691\" style=\"fill:rgb(40%,76.1%,64.7%);fill-opacity:1.0;opacity:1.0;stroke:rgb(100%,100%,100%);stroke-opacity:1.0;stroke-width:1.0\" width=\"48.716163722671524\" x=\"440.00000000000006\" y=\"308.69565217391306\"><title>B131_glabrataXmaxima: 8.932395</title></rect><rect class=\"toyplot-Datum\" height=\"11.594202898550748\" style=\"fill:rgb(40%,76.1%,64.7%);fill-opacity:1.0;opacity:1.0;stroke:rgb(100%,100%,100%);stroke-opacity:1.0;stroke-width:1.0\" width=\"39.51091754703566\" x=\"440.00000000000006\" y=\"297.10144927536231\"><title>A96_glabrata: 7.244559</title></rect><rect class=\"toyplot-Datum\" height=\"11.594202898550691\" style=\"fill:rgb(40%,76.1%,64.7%);fill-opacity:1.0;opacity:1.0;stroke:rgb(100%,100%,100%);stroke-opacity:1.0;stroke-width:1.0\" width=\"22.146887417182427\" x=\"440.00000000000006\" y=\"285.50724637681162\"><title>B130_glabrataXmaxima: 4.060762</title></rect><rect class=\"toyplot-Datum\" height=\"11.594202898550805\" style=\"fill:rgb(40%,76.1%,64.7%);fill-opacity:1.0;opacity:1.0;stroke:rgb(100%,100%,100%);stroke-opacity:1.0;stroke-width:1.0\" width=\"43.139314984758528\" x=\"440.00000000000006\" y=\"273.91304347826082\"><title>B126_insipida: 7.909847</title></rect><rect class=\"toyplot-Datum\" height=\"11.594202898550634\" style=\"fill:rgb(40%,76.1%,64.7%);fill-opacity:1.0;opacity:1.0;stroke:rgb(100%,100%,100%);stroke-opacity:1.0;stroke-width:1.0\" width=\"40.072137622452658\" x=\"440.00000000000006\" y=\"262.31884057971018\"><title>C50_insipida: 7.347462</title></rect><rect class=\"toyplot-Datum\" height=\"11.594202898550805\" style=\"fill:rgb(40%,76.1%,64.7%);fill-opacity:1.0;opacity:1.0;stroke:rgb(100%,100%,100%);stroke-opacity:1.0;stroke-width:1.0\" width=\"37.786451429758529\" x=\"440.00000000000006\" y=\"250.72463768115938\"><title>C15_insipida: 6.928368</title></rect><rect class=\"toyplot-Datum\" height=\"11.594202898550691\" style=\"fill:rgb(40%,76.1%,64.7%);fill-opacity:1.0;opacity:1.0;stroke:rgb(100%,100%,100%);stroke-opacity:1.0;stroke-width:1.0\" width=\"32.890797104444403\" x=\"440.00000000000006\" y=\"239.13043478260869\"><title>B128_insipida: 6.030721</title></rect><rect class=\"toyplot-Datum\" height=\"11.594202898550691\" style=\"fill:rgb(40%,76.1%,64.7%);fill-opacity:1.0;opacity:1.0;stroke:rgb(100%,100%,100%);stroke-opacity:1.0;stroke-width:1.0\" width=\"11.003017823691323\" x=\"440.00000000000006\" y=\"227.536231884058\"><title>B127_insipida: 2.017468</title></rect><rect class=\"toyplot-Datum\" height=\"11.594202898550776\" style=\"fill:rgb(40%,76.1%,64.7%);fill-opacity:1.0;opacity:1.0;stroke:rgb(100%,100%,100%);stroke-opacity:1.0;stroke-width:1.0\" width=\"5.4745722243585533\" x=\"440.00000000000006\" y=\"215.94202898550722\"><title>A95_insipida: 1.003795</title></rect><rect class=\"toyplot-Datum\" height=\"11.594202898550662\" style=\"fill:rgb(40%,76.1%,64.7%);fill-opacity:1.0;opacity:1.0;stroke:rgb(100%,100%,100%);stroke-opacity:1.0;stroke-width:1.0\" width=\"94.065017900590931\" x=\"440.00000000000006\" y=\"204.34782608695656\"><title>C46_yoponensis: 17.247374</title></rect><rect class=\"toyplot-Datum\" height=\"11.594202898550805\" style=\"fill:rgb(40%,76.1%,64.7%);fill-opacity:1.0;opacity:1.0;stroke:rgb(100%,100%,100%);stroke-opacity:1.0;stroke-width:1.0\" width=\"55.612173874358234\" x=\"440.00000000000006\" y=\"192.75362318840575\"><title>C47_yoponensis: 10.196819</title></rect><rect class=\"toyplot-Datum\" height=\"11.594202898550691\" style=\"fill:rgb(40%,76.1%,64.7%);fill-opacity:1.0;opacity:1.0;stroke:rgb(100%,100%,100%);stroke-opacity:1.0;stroke-width:1.0\" width=\"137.92559691588059\" x=\"440.00000000000006\" y=\"181.15942028985506\"><title>C45_yoponensis: 25.289469</title></rect><rect class=\"toyplot-Datum\" height=\"11.594202898550691\" style=\"fill:rgb(40%,76.1%,64.7%);fill-opacity:1.0;opacity:1.0;stroke:rgb(100%,100%,100%);stroke-opacity:1.0;stroke-width:1.0\" width=\"8.4416709846422009\" x=\"440.00000000000006\" y=\"169.56521739130437\"><title>B123_maxima: 1.54783</title></rect><rect class=\"toyplot-Datum\" height=\"11.594202898550748\" style=\"fill:rgb(40%,76.1%,64.7%);fill-opacity:1.0;opacity:1.0;stroke:rgb(100%,100%,100%);stroke-opacity:1.0;stroke-width:1.0\" width=\"11.35966305650021\" x=\"440.00000000000006\" y=\"157.97101449275362\"><title>A94_maxima: 2.082861</title></rect><rect class=\"toyplot-Datum\" height=\"11.594202898550691\" style=\"fill:rgb(40%,76.1%,64.7%);fill-opacity:1.0;opacity:1.0;stroke:rgb(100%,100%,100%);stroke-opacity:1.0;stroke-width:1.0\" width=\"131.38006366463839\" x=\"440.00000000000006\" y=\"146.37681159420293\"><title>C17_maxima: 24.089307</title></rect><rect class=\"toyplot-Datum\" height=\"11.594202898550776\" style=\"fill:rgb(40%,76.1%,64.7%);fill-opacity:1.0;opacity:1.0;stroke:rgb(100%,100%,100%);stroke-opacity:1.0;stroke-width:1.0\" width=\"11.206332821227477\" x=\"440.00000000000006\" y=\"134.78260869565216\"><title>B119_maxima: 2.054747</title></rect><rect class=\"toyplot-Datum\" height=\"11.594202898550691\" style=\"fill:rgb(40%,76.1%,64.7%);fill-opacity:1.0;opacity:1.0;stroke:rgb(100%,100%,100%);stroke-opacity:1.0;stroke-width:1.0\" width=\"12.609134858467826\" x=\"440.00000000000006\" y=\"123.18840579710147\"><title>B120_maxima: 2.311959</title></rect><rect class=\"toyplot-Datum\" height=\"11.594202898550776\" style=\"fill:rgb(40%,76.1%,64.7%);fill-opacity:1.0;opacity:1.0;stroke:rgb(100%,100%,100%);stroke-opacity:1.0;stroke-width:1.0\" width=\"85.688406188075362\" x=\"440.00000000000006\" y=\"111.59420289855069\"><title>C18_maxima: 15.711473</title></rect><rect class=\"toyplot-Datum\" height=\"11.594202898550691\" style=\"fill:rgb(40%,76.1%,64.7%);fill-opacity:1.0;opacity:1.0;stroke:rgb(100%,100%,100%);stroke-opacity:1.0;stroke-width:1.0\" width=\"113.66401864165567\" x=\"440.00000000000006\" y=\"100.0\"><title>C48_tonduzii: 20.840966</title></rect></g></g></g><g class=\"toyplot-coordinates-Axis\" id=\"td4f220c16c9140f8a01f32556c5857c7\" transform=\"translate(440.0,900.0)translate(0,10.0)\"><line style=\"\" x1=\"0\" x2=\"279.99999999999994\" y1=\"0\" y2=\"0\"></line><g><line style=\"\" x1=\"0.0\" x2=\"0.0\" y1=\"0\" y2=\"-5\"></line><line style=\"\" x1=\"54.538747696078765\" x2=\"54.538747696078765\" y1=\"0\" y2=\"-5\"></line><line style=\"\" x1=\"109.07749539215753\" x2=\"109.07749539215753\" y1=\"0\" y2=\"-5\"></line><line style=\"\" x1=\"163.61624308823627\" x2=\"163.61624308823627\" y1=\"0\" y2=\"-5\"></line><line style=\"\" x1=\"218.15499078431506\" x2=\"218.15499078431506\" y1=\"0\" y2=\"-5\"></line><line style=\"\" x1=\"272.6937384803938\" x2=\"272.6937384803938\" y1=\"0\" y2=\"-5\"></line></g><g><text style=\"font-weight:normal;stroke:none;text-anchor:middle\" transform=\"translate(0.0,6)translate(0,7.5)\"><tspan style=\"font-size:10.0px\">0</tspan></text><text style=\"font-weight:normal;stroke:none;text-anchor:middle\" transform=\"translate(54.538747696078765,6)translate(0,7.5)\"><tspan style=\"font-size:10.0px\">10</tspan></text><text style=\"font-weight:normal;stroke:none;text-anchor:middle\" transform=\"translate(109.07749539215753,6)translate(0,7.5)\"><tspan style=\"font-size:10.0px\">20</tspan></text><text style=\"font-weight:normal;stroke:none;text-anchor:middle\" transform=\"translate(163.61624308823627,6)translate(0,7.5)\"><tspan style=\"font-size:10.0px\">30</tspan></text><text style=\"font-weight:normal;stroke:none;text-anchor:middle\" transform=\"translate(218.15499078431506,6)translate(0,7.5)\"><tspan style=\"font-size:10.0px\">40</tspan></text><text style=\"font-weight:normal;stroke:none;text-anchor:middle\" transform=\"translate(272.6937384803938,6)translate(0,7.5)\"><tspan style=\"font-size:10.0px\">50</tspan></text></g><text style=\"font-weight:bold;stroke:none;text-anchor:middle\" transform=\"translate(139.99999999999997,22)translate(0,9.0)\"><tspan style=\"font-size:12.0px\">N raw reads (1e6)</tspan></text><g class=\"toyplot-coordinates-Axis-coordinates\" style=\"visibility:hidden\" transform=\"\"><line style=\"stroke:rgb(43.9%,50.2%,56.5%);stroke-opacity:1.0;stroke-width:1.0\" x1=\"0\" x2=\"0\" y1=\"-3.0\" y2=\"4.5\"></line><text style=\"alignment-baseline:alphabetic;fill:rgb(43.9%,50.2%,56.5%);fill-opacity:1.0;font-size:10px;font-weight:normal;stroke:none;text-anchor:middle\" x=\"0\" y=\"-6\"></text></g></g></g></svg><div class=\"toyplot-interactive\"><ul class=\"toyplot-mark-popup\" onmouseleave=\"this.style.visibility='hidden'\" style=\"background:rgba(0%,0%,0%,0.75);border:0;border-radius:6px;color:white;cursor:default;list-style:none;margin:0;padding:5px;position:fixed;visibility:hidden\">\n",
       "            <li class=\"toyplot-mark-popup-title\" style=\"color:lightgray;cursor:default;padding:5px;list-style:none;margin:0\"></li>\n",
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       "                Save as .csv\n",
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       "\n",
       "          function save_csv(data_table)\n",
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       "            var uri = \"data:text/csv;charset=utf-8,\";\n",
       "            uri += data_table.names.join(\",\") + \"\\n\";\n",
       "            for(var i = 0; i != data_table.columns[0].length; ++i)\n",
       "            {\n",
       "              for(var j = 0; j != data_table.columns.length; ++j)\n",
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       "                if(j)\n",
       "                  uri += \",\";\n",
       "                uri += data_table.columns[j][i];\n",
       "              }\n",
       "              uri += \"\\n\";\n",
       "            }\n",
       "            uri = encodeURI(uri);\n",
       "\n",
       "            var link = document.createElement(\"a\");\n",
       "            if(typeof link.download != \"undefined\")\n",
       "            {\n",
       "              link.href = uri;\n",
       "              link.style = \"visibility:hidden\";\n",
       "              link.download = data_table.filename + \".csv\";\n",
       "\n",
       "              document.body.appendChild(link);\n",
       "              link.click();\n",
       "              document.body.removeChild(link);\n",
       "            }\n",
       "            else\n",
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       "              window.open(uri);\n",
       "            }\n",
       "          }\n",
       "\n",
       "          function open_popup(data_table)\n",
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       "            {\n",
       "              var popup = document.querySelector(\"#tb05277a7fdd24f2f87d5dd346b488589 .toyplot-mark-popup\");\n",
       "              popup.querySelector(\".toyplot-mark-popup-title\").innerHTML = data_table.title;\n",
       "              popup.querySelector(\".toyplot-mark-popup-save-csv\").onclick = function() { popup.style.visibility = \"hidden\"; save_csv(data_table); }\n",
       "              popup.style.left = (e.clientX - 50) + \"px\";\n",
       "              popup.style.top = (e.clientY - 20) + \"px\";\n",
       "              popup.style.visibility = \"visible\";\n",
       "              e.stopPropagation();\n",
       "              e.preventDefault();\n",
       "            }\n",
       "\n",
       "          }\n",
       "\n",
       "          for(var i = 0; i != data_tables.length; ++i)\n",
       "          {\n",
       "            var data_table = data_tables[i];\n",
       "            var event_target = document.querySelector(\"#\" + data_table.id);\n",
       "            event_target.oncontextmenu = open_popup(data_table);\n",
       "          }\n",
       "        })();\n",
       "        </script><script>\n",
       "        (function()\n",
       "        {\n",
       "            function _sign(x)\n",
       "            {\n",
       "                return x < 0 ? -1 : x > 0 ? 1 : 0;\n",
       "            }\n",
       "\n",
       "            function _mix(a, b, amount)\n",
       "            {\n",
       "                return ((1.0 - amount) * a) + (amount * b);\n",
       "            }\n",
       "\n",
       "            function _log(x, base)\n",
       "            {\n",
       "                return Math.log(Math.abs(x)) / Math.log(base);\n",
       "            }\n",
       "\n",
       "            function _in_range(a, x, b)\n",
       "            {\n",
       "                var left = Math.min(a, b);\n",
       "                var right = Math.max(a, b);\n",
       "                return left <= x && x <= right;\n",
       "            }\n",
       "\n",
       "            function inside(range, projection)\n",
       "            {\n",
       "                for(var i = 0; i != projection.length; ++i)\n",
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       "                    var segment = projection[i];\n",
       "                    if(_in_range(segment.range.min, range, segment.range.max))\n",
       "                        return true;\n",
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       "                return false;\n",
       "            }\n",
       "\n",
       "            function to_domain(range, projection)\n",
       "            {\n",
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       "                    var segment = projection[i];\n",
       "                    if(_in_range(segment.range.bounds.min, range, segment.range.bounds.max))\n",
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       "                        {\n",
       "                            var amount = (range - segment.range.min) / (segment.range.max - segment.range.min);\n",
       "                            return _mix(segment.domain.min, segment.domain.max, amount)\n",
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       "                        {\n",
       "                            var amount = (range - segment.range.min) / (segment.range.max - segment.range.min);\n",
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       "                        }\n",
       "                    }\n",
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       "\n",
       "            function display_coordinates(e)\n",
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       "                var current = svg.createSVGPoint();\n",
       "                current.x = e.clientX;\n",
       "                current.y = e.clientY;\n",
       "\n",
       "                for(var axis_id in axes)\n",
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       "                    var axis = document.querySelector(\"#\" + axis_id);\n",
       "                    var coordinates = axis.querySelector(\".toyplot-coordinates-Axis-coordinates\");\n",
       "                    if(coordinates)\n",
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       "                        var local = current.matrixTransform(axis.getScreenCTM().inverse());\n",
       "                        if(inside(local.x, projection))\n",
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       "\n",
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       "        })();\n",
       "        </script></div></div>"
      ],
      "text/plain": [
       "<toyplot.canvas.Canvas at 0x7f76167ce050>"
      ]
     },
     "execution_count": 126,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## load tree data\n",
    "#tre = toytree.tree(\"analysis-tetrad/ficus_85d6f2_min4_s3K.tree\")\n",
    "newick=\"analysis_raxml/RAxML_bipartitions.ficus_c85d6f2_min4_s3K\"\n",
    "tre = toytree.tree(newick, format=0)\n",
    "\n",
    "## load ipyrad data \n",
    "data = ip.load_json(\"analysis-ipyrad/lodepth_min4.json\")\n",
    "heights = data.stats.reads_raw.ix[tre.get_tip_labels()]\n",
    "hdata = heights/float(1e6) \n",
    "hover = [\"{}: {}\".format(hdata.index[i], hdata[i]) for \\\n",
    "         i in range(hdata.shape[0])[::-1]]\n",
    "\n",
    "## plot tree\n",
    "canvas = toyplot.Canvas(    \n",
    "    width=800, \n",
    "    height=1000,\n",
    "    )\n",
    "ax1 = canvas.cartesian(bounds=(\"10%\", \"50%\", \"10%\", \"90%\"))\n",
    "ax2 = canvas.cartesian(bounds=(\"55%\", \"90%\", \"10%\", \"90%\"))\n",
    "\n",
    "tre.draw(\n",
    "    axes=ax1,\n",
    "    #node_labels=True,\n",
    "    node_size=5,\n",
    "    use_edge_lengths=True,\n",
    "    tip_labels_style={\"font-size\": \"7px\"}\n",
    "    );\n",
    "\n",
    "## add barplot\n",
    "ax2.bars(hdata[::-1], \n",
    "         along='y', \n",
    "         title=hover,\n",
    "         )\n",
    "\n",
    "## style axes\n",
    "ax1.show = False\n",
    "ax2.y.show = False\n",
    "ax2.x.label.text = \"N raw reads (1e6)\"\n",
    "ax2.x.ticks.show = True\n",
    "\n",
    "## save the plot and render in notebook\n",
    "toyplot.pdf.render(canvas, \"Tree_w_N_raw_Ficus_lodepth_min_4.pdf\")\n",
    "canvas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Analysis `ABBA-BABA`\n",
    "The `baba` module from `ipyrad` is used to perform ABBA/BABA tests for evidence of admixture. In this case, because we have multiple samples per species we can use the SNP frequency based model to attain better estimates by pooling samples into populations, which also helps to better account for missing data in RAD-seq.  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "## raxml tree\n",
    "newick = \"/home/deren/Documents/Ficus/analysis_raxml/RAxML_bestTree.ficus_c85d6f2_min4_s3K\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### A dictionary mapping samples to clade names"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "clades = {\n",
    "    ## Pharmacosycea clades\n",
    "    \"tonduzii\": \n",
    "        [\"C48_tonduzii\"],\n",
    "    \n",
    "    \"maxima\": \n",
    "        [\"C18_maxima\", \"B120_maxima\", \"B119_maxima\", \n",
    "         \"C17_maxima\", \"A94_maxima\", \"B123_maxima\"],\n",
    "    \n",
    "    \"yoponensis\": \n",
    "        [\"C45_yoponensis\", \"C46_yoponensis\", \"C47_yoponensis\"],\n",
    "    \n",
    "    \"glabrata\": \n",
    "        [\"B130_glabrataXmaxima\", \"A96_glabrata\", \n",
    "         \"B131_glabrataXmaxima\", \"B134_glabrata\",\n",
    "         \"A97_glabrata\", \"B133_glabrata\"],\n",
    "    \n",
    "    \"insipida\": \n",
    "        [\"A95_insipida\", \"B127_insipida\", \"B128_insipida\", \n",
    "         \"C15_insipida\", \"C50_insipida\", \"B126_insipida\"],\n",
    "    \n",
    "    ## Clade I\n",
    "    \"obtusifolia\": \n",
    "        [\"C21_obtusifolia\", \"B102_obtusifolia\", \n",
    "         \"C24_obtusifolia\", \"C22_obtusifolia\"],\n",
    "    \n",
    "    \"nymphaeifolia\": \n",
    "        [\"A33_nymphaeifolia\", \"A41_nymphaeifolia\", \n",
    "         \"A42_nymphaeifolia\", \"C19_nymphaeifolia\"],\n",
    "    \n",
    "    \"citrifolia\": \n",
    "        [\"C53_citrifolia\", \"A19_citrifolia\"], \n",
    "    \n",
    "    \"paraensis\": \n",
    "        [\"A01_paraensis\", \"A02_paraensis\",\n",
    "         \"A04_paraensis\", \"A05_paraensis\"],\n",
    "    \n",
    "    \"bullenei\": \n",
    "        [\"A67_bullenei\", \"A70_bullenei\", \"A72_bullenei\"],\n",
    "    \n",
    "    \"popenoei\": \n",
    "        [\"C25_popenoei\", \"C26_popenoei\", \"C27_popenoei\"],\n",
    "    \n",
    "    \n",
    "    ## Clade II\n",
    "    \"pertusa\": \n",
    "        [\"A65_pertusa\", \"C28_pertusa\"],\n",
    "    \n",
    "    \"perforata\": \n",
    "        [\"A85_perforata\", \"A83_perforata\", \"A82_perforata\", \n",
    "         \"C51_perforata\", \"A84_perforata\"],\n",
    "    \n",
    "    \"turbinata\": \n",
    "        [\"A61_turbinata\"], \n",
    "    \n",
    "    \"colubrinae\": \n",
    "        [\"C04_colubrinae\", \"C5_colubrinae\", \"A77_colubrinae\"],\n",
    "    \n",
    "    \"dugandii\": \n",
    "        [\"C14_dugandii\", \"A59_dugandii\", \"C12_dugandii\", \"C49_dugandii\"],\n",
    "    \n",
    "    \"costaricana\": \n",
    "        [\"C11_costaricana\", \"A87_costaricana\"],\n",
    "    \n",
    "    \"triangle\": \n",
    "        [\"C31_triangle\", \"C30_triangle\", \"A55_triangle\"],\n",
    "    \n",
    "    \"trigonata\":\n",
    "        [\"A48_trigonata\", \"A49_trigonata\", \"C37_trigonata\", \n",
    "         \"C36_trigonata\", \"C43_trigonata\", \"C39_trigonata\", \n",
    "         \"C41_trigonata\"]\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "## higher clades\n",
    "pharma = clades[\"tonduzii\"] + clades[\"maxima\"] + clades[\"yoponensis\"] +\\\n",
    "         clades[\"glabrata\"] + clades[\"insipida\"]\n",
    "    \n",
    "urost1 = clades[\"obtusifolia\"] + clades[\"nymphaeifolia\"] +\\\n",
    "         clades[\"citrifolia\"] + clades[\"paraensis\"] + \\\n",
    "         clades[\"bullenei\"] + clades[\"popenoei\"]\n",
    "        \n",
    "urost2 = clades[\"pertusa\"] + clades[\"perforata\"] + clades[\"turbinata\"] + \\\n",
    "         clades[\"colubrinae\"] + clades[\"dugandii\"] +\\\n",
    "         clades[\"costaricana\"] + clades[\"triangle\"] + clades[\"trigonata\"]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Targeted tests requested by Allen"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Test 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "test1 = [\n",
    "    ## Q1: popenoei, bullenei (they are sister species)\n",
    "    {\n",
    "    \"p4\": clades[\"citrifolia\"],\n",
    "    \"p3\": clades[\"bullenei\"],\n",
    "    \"p2\": [\"C27_popenoei\"],\n",
    "    \"p1\": [\"C25_popenoei\", \"C26_popenoei\"],\n",
    "    },\n",
    "    {\n",
    "    \"p4\": clades[\"paraensis\"],\n",
    "    \"p3\": clades[\"bullenei\"],\n",
    "    \"p2\": [\"C27_popenoei\"],\n",
    "    \"p1\": [\"C25_popenoei\", \"C26_popenoei\"],\n",
    "    },  \n",
    "    {\n",
    "    \"p4\": clades[\"nymphaeifolia\"],\n",
    "    \"p3\": clades[\"bullenei\"],\n",
    "    \"p2\": [\"C27_popenoei\"],\n",
    "    \"p1\": [\"C25_popenoei\", \"C26_popenoei\"],\n",
    "    },\n",
    "    {\n",
    "    \"p4\": clades[\"obtusifolia\"],\n",
    "    \"p3\": clades[\"bullenei\"],\n",
    "    \"p2\": [\"C27_popenoei\"],\n",
    "    \"p1\": [\"C25_popenoei\", \"C26_popenoei\"],\n",
    "    },\n",
    "    ####\n",
    "    {\n",
    "    \"p4\": clades[\"citrifolia\"],\n",
    "    \"p3\": [\"A72_bullenei\"],\n",
    "    \"p2\": [\"C27_popenoei\"],\n",
    "    \"p1\": [\"C25_popenoei\", \"C26_popenoei\"],\n",
    "    },\n",
    "    {\n",
    "    \"p4\": clades[\"paraensis\"],\n",
    "    \"p3\": [\"A72_bullenei\"],\n",
    "    \"p2\": [\"C27_popenoei\"],\n",
    "    \"p1\": [\"C25_popenoei\", \"C26_popenoei\"], \n",
    "    },\n",
    "    {\n",
    "    \"p4\": clades[\"nymphaeifolia\"],\n",
    "    \"p3\": [\"A72_bullenei\"],\n",
    "    \"p2\": [\"C27_popenoei\"],\n",
    "    \"p1\": [\"C25_popenoei\", \"C26_popenoei\"],\n",
    "    },\n",
    "    {\n",
    "    \"p4\": clades[\"obtusifolia\"],\n",
    "    \"p3\": [\"A72_bullenei\"],\n",
    "    \"p2\": [\"C27_popenoei\"],\n",
    "    \"p1\": [\"C25_popenoei\", \"C26_popenoei\"],\n",
    "    },\n",
    "    ####\n",
    "    {\n",
    "    \"p4\": clades[\"citrifolia\"],\n",
    "    \"p3\": [\"A70_bullenei\"],\n",
    "    \"p2\": [\"C27_popenoei\"],\n",
    "    \"p1\": [\"C25_popenoei\", \"C26_popenoei\"],\n",
    "    },\n",
    "    {\n",
    "    \"p4\": clades[\"paraensis\"],\n",
    "    \"p3\": [\"A70_bullenei\"],\n",
    "    \"p2\": [\"C27_popenoei\"],\n",
    "    \"p1\": [\"C25_popenoei\", \"C26_popenoei\"], \n",
    "    },\n",
    "    {\n",
    "    \"p4\": clades[\"nymphaeifolia\"],\n",
    "    \"p3\": [\"A70_bullenei\"],\n",
    "    \"p2\": [\"C27_popenoei\"],\n",
    "    \"p1\": [\"C25_popenoei\", \"C26_popenoei\"],\n",
    "    },\n",
    "    {\n",
    "    \"p4\": clades[\"obtusifolia\"],\n",
    "    \"p3\": [\"A70_bullenei\"],\n",
    "    \"p2\": [\"C27_popenoei\"],\n",
    "    \"p1\": [\"C25_popenoei\", \"C26_popenoei\"],\n",
    "    },\n",
    "    ####\n",
    "    {\n",
    "    \"p4\": clades[\"citrifolia\"],\n",
    "    \"p3\": [\"A67_bullenei\"],\n",
    "    \"p2\": [\"C27_popenoei\"],\n",
    "    \"p1\": [\"C25_popenoei\", \"C26_popenoei\"],\n",
    "    },\n",
    "    {\n",
    "    \"p4\": clades[\"paraensis\"],\n",
    "    \"p3\": [\"A67_bullenei\"],\n",
    "    \"p2\": [\"C27_popenoei\"],\n",
    "    \"p1\": [\"C25_popenoei\", \"C26_popenoei\"], \n",
    "    },\n",
    "    {\n",
    "    \"p4\": clades[\"nymphaeifolia\"],\n",
    "    \"p3\": [\"A67_bullenei\"],\n",
    "    \"p2\": [\"C27_popenoei\"],\n",
    "    \"p1\": [\"C25_popenoei\", \"C26_popenoei\"],\n",
    "    },\n",
    "    {\n",
    "    \"p4\": clades[\"obtusifolia\"],\n",
    "    \"p3\": [\"A67_bullenei\"],\n",
    "    \"p2\": [\"C27_popenoei\"],\n",
    "    \"p1\": [\"C25_popenoei\", \"C26_popenoei\"],\n",
    "    },\n",
    "    ####\n",
    "    {\n",
    "    \"p4\": clades[\"citrifolia\"],\n",
    "    \"p3\": clades[\"popenoei\"],\n",
    "    \"p2\": [\"A72_bullenei\"],\n",
    "    \"p1\": [\"A67_bullenei\", \"A70_bullenei\"],\n",
    "    },\n",
    "    {\n",
    "    \"p4\": clades[\"paraensis\"],\n",
    "    \"p3\": clades[\"popenoei\"],\n",
    "    \"p2\": [\"A72_bullenei\"],\n",
    "    \"p1\": [\"A67_bullenei\", \"A70_bullenei\"],\n",
    "    },\n",
    "    {\n",
    "    \"p4\": clades[\"nymphaeifolia\"],\n",
    "    \"p3\": clades[\"popenoei\"],\n",
    "    \"p2\": [\"A72_bullenei\"],\n",
    "    \"p1\": [\"A67_bullenei\", \"A70_bullenei\"],\n",
    "    },\n",
    "    {\n",
    "    \"p4\": clades[\"obtusifolia\"],\n",
    "    \"p3\": clades[\"popenoei\"],\n",
    "    \"p2\": [\"A72_bullenei\"],\n",
    "    \"p1\": [\"A67_bullenei\", \"A70_bullenei\"],\n",
    "    },\n",
    "    ####\n",
    "    {\n",
    "    \"p4\": clades[\"citrifolia\"],\n",
    "    \"p3\": clades[\"popenoei\"],\n",
    "    \"p2\": [\"A72_bullenei\"],\n",
    "    \"p1\": [\"A70_bullenei\"],\n",
    "    },\n",
    "    {\n",
    "    \"p4\": clades[\"paraensis\"],\n",
    "    \"p3\": clades[\"popenoei\"],\n",
    "    \"p2\": [\"A72_bullenei\"],\n",
    "    \"p1\": [\"A70_bullenei\"],\n",
    "    },\n",
    "    {\n",
    "    \"p4\": clades[\"nymphaeifolia\"],\n",
    "    \"p3\": clades[\"popenoei\"],\n",
    "    \"p2\": [\"A72_bullenei\"],\n",
    "    \"p1\": [\"A70_bullenei\"],\n",
    "    },\n",
    "    {\n",
    "    \"p4\": clades[\"obtusifolia\"],\n",
    "    \"p3\": clades[\"popenoei\"],\n",
    "    \"p2\": [\"A72_bullenei\"],\n",
    "    \"p1\": [\"A70_bullenei\"],\n",
    "    },\n",
    "    ####\n",
    "    {\n",
    "    \"p4\": clades[\"citrifolia\"],\n",
    "    \"p3\": clades[\"popenoei\"],\n",
    "    \"p2\": [\"A72_bullenei\"],\n",
    "    \"p1\": [\"A67_bullenei\"],\n",
    "    },\n",
    "    {\n",
    "    \"p4\": clades[\"paraensis\"],\n",
    "    \"p3\": clades[\"popenoei\"],\n",
    "    \"p2\": [\"A72_bullenei\"],\n",
    "    \"p1\": [\"A67_bullenei\"],\n",
    "    },\n",
    "    {\n",
    "    \"p4\": clades[\"nymphaeifolia\"],\n",
    "    \"p3\": clades[\"popenoei\"],\n",
    "    \"p2\": [\"A72_bullenei\"],\n",
    "    \"p1\": [\"A67_bullenei\"],\n",
    "    },\n",
    "    {\n",
    "    \"p4\": clades[\"obtusifolia\"],\n",
    "    \"p3\": clades[\"popenoei\"],\n",
    "    \"p2\": [\"A72_bullenei\"],\n",
    "    \"p1\": [\"A67_bullenei\"],\n",
    "    },   \n",
    "    ####\n",
    "    {\n",
    "    \"p4\": clades[\"citrifolia\"],\n",
    "    \"p3\": clades[\"popenoei\"],\n",
    "    \"p2\": [\"A70_bullenei\"],\n",
    "    \"p1\": [\"A67_bullenei\"],\n",
    "    },\n",
    "    {\n",
    "    \"p4\": clades[\"paraensis\"],\n",
    "    \"p3\": clades[\"popenoei\"],\n",
    "    \"p2\": [\"A70_bullenei\"],\n",
    "    \"p1\": [\"A67_bullenei\"],\n",
    "    },\n",
    "    {\n",
    "    \"p4\": clades[\"nymphaeifolia\"],\n",
    "    \"p3\": clades[\"popenoei\"],\n",
    "    \"p2\": [\"A70_bullenei\"],\n",
    "    \"p1\": [\"A67_bullenei\"],\n",
    "    },\n",
    "    {\n",
    "    \"p4\": clades[\"obtusifolia\"],\n",
    "    \"p3\": clades[\"popenoei\"],\n",
    "    \"p2\": [\"A70_bullenei\"],\n",
    "    \"p1\": [\"A67_bullenei\"],\n",
    "    },  \n",
    "\n",
    "    ####\n",
    "    {\n",
    "    \"p4\": clades[\"citrifolia\"],\n",
    "    \"p3\": [\"C27_popenoei\"],\n",
    "    \"p2\": [\"A70_bullenei\"],\n",
    "    \"p1\": [\"A67_bullenei\"],\n",
    "    },\n",
    "    {\n",
    "    \"p4\": clades[\"paraensis\"],\n",
    "    \"p3\": [\"C27_popenoei\"],\n",
    "    \"p2\": [\"A70_bullenei\"],\n",
    "    \"p1\": [\"A67_bullenei\"],\n",
    "    },\n",
    "    {\n",
    "    \"p4\": clades[\"nymphaeifolia\"],\n",
    "    \"p3\": [\"C27_popenoei\"],\n",
    "    \"p2\": [\"A70_bullenei\"],\n",
    "    \"p1\": [\"A67_bullenei\"],\n",
    "    },\n",
    "    {\n",
    "    \"p4\": clades[\"obtusifolia\"],\n",
    "    \"p3\": [\"C27_popenoei\"],\n",
    "    \"p2\": [\"A70_bullenei\"],\n",
    "    \"p1\": [\"A67_bullenei\"],\n",
    "    }, \n",
    "    ####\n",
    "    {\n",
    "    \"p4\": clades[\"citrifolia\"],\n",
    "    \"p3\": [\"C26_popenoei\"],\n",
    "    \"p2\": [\"A70_bullenei\"],\n",
    "    \"p1\": [\"A67_bullenei\"],\n",
    "    },\n",
    "    {\n",
    "    \"p4\": clades[\"paraensis\"],\n",
    "    \"p3\": [\"C26_popenoei\"],\n",
    "    \"p2\": [\"A70_bullenei\"],\n",
    "    \"p1\": [\"A67_bullenei\"],\n",
    "    },\n",
    "    {\n",
    "    \"p4\": clades[\"nymphaeifolia\"],\n",
    "    \"p3\": [\"C26_popenoei\"],\n",
    "    \"p2\": [\"A70_bullenei\"],\n",
    "    \"p1\": [\"A67_bullenei\"],\n",
    "    },\n",
    "    {\n",
    "    \"p4\": clades[\"obtusifolia\"],\n",
    "    \"p3\": [\"C26_popenoei\"],\n",
    "    \"p2\": [\"A70_bullenei\"],\n",
    "    \"p1\": [\"A67_bullenei\"],\n",
    "    }, \n",
    "    ####\n",
    "    {\n",
    "    \"p4\": clades[\"citrifolia\"],\n",
    "    \"p3\": [\"C25_popenoei\"],\n",
    "    \"p2\": [\"A70_bullenei\"],\n",
    "    \"p1\": [\"A67_bullenei\"],\n",
    "    },\n",
    "    {\n",
    "    \"p4\": clades[\"paraensis\"],\n",
    "    \"p3\": [\"C25_popenoei\"],\n",
    "    \"p2\": [\"A70_bullenei\"],\n",
    "    \"p1\": [\"A67_bullenei\"],\n",
    "    },\n",
    "    {\n",
    "    \"p4\": clades[\"nymphaeifolia\"],\n",
    "    \"p3\": [\"C25_popenoei\"],\n",
    "    \"p2\": [\"A70_bullenei\"],\n",
    "    \"p1\": [\"A67_bullenei\"],\n",
    "    },\n",
    "    {\n",
    "    \"p4\": clades[\"obtusifolia\"],\n",
    "    \"p3\": [\"C25_popenoei\"],\n",
    "    \"p2\": [\"A70_bullenei\"],\n",
    "    \"p1\": [\"A67_bullenei\"],\n",
    "    }, \n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  [####################] 100%  calculating D-stats  | 0:00:39 |  \n",
      "\n"
     ]
    }
   ],
   "source": [
    "r, b = baba.batch(locfile, test1, ipyclient=ipyclient)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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l11gq7MUXXsQvf/mLsrw+R7mp2oj17bqeQzY7zvp2qlsM0ImIiIgCEFN43WpvzzvvPDz/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\n90enRjqcRnrme0jp9EpsG7lW03ZN5JBnvBbrJI1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65b5GFka9fSbij+u8eacmCHPsOXcZ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\nn1Nqnb6zTJuuf1QnnbL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transform=\"translate(227.09401096174341,756.47603027754428)\"><tspan style=\"dominant-baseline:inherit\">1.0</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:middle\" transform=\"translate(267.4740308379798,756.47603027754428)\"><tspan style=\"dominant-baseline:inherit\">4.0</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:middle\" transform=\"translate(341.50406727774646,756.47603027754428)\"><tspan style=\"dominant-baseline:inherit\">0.0</tspan></text></g></g><g class=\"toyplot-mark-Text\" id=\"t92974fc181894ef7a2eea5cc09d6c0d2\" style=\"-toyplot-anchor-shift:0;alignment-baseline:middle;font-size:12px;font-weight:normal;stroke:none;text-anchor:middle\"><g class=\"toyplot-Series\"><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:middle\" transform=\"translate(112.68395464574034,769.09167367535747)\"><tspan style=\"dominant-baseline:inherit\">BABA</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:middle\" transform=\"translate(227.09401096174341,769.09167367535747)\"><tspan style=\"dominant-baseline:inherit\">ABBA</tspan></text></g></g><g class=\"toyplot-mark-Text\" id=\"t0010cfc671ed4d66ae46f641f729841a\" style=\"-toyplot-anchor-shift:0;alignment-baseline:middle;font-size:12px;font-weight:normal;stroke:none;text-anchor:middle\"><g class=\"toyplot-Series\"><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:middle\" transform=\"translate(169.88898280374187,182.46425567703955)\"><tspan style=\"dominant-baseline:inherit\">Bootstrap D-statistics</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:middle\" transform=\"translate(304.48904905786316,182.46425567703955)\"><tspan style=\"dominant-baseline:inherit\">Z-scores</tspan></text></g></g><g class=\"toyplot-mark-Text\" id=\"t5ff41cbaa3b045a2b2e65755dd5d9983\" style=\"-toyplot-anchor-shift:0;alignment-baseline:middle;font-size:12px;font-weight:normal;stroke:none;text-anchor:start\"><g class=\"toyplot-Series\"><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(619.41361583772618,750.16820857863763)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A01_paraensis</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(611.49596488160148,750.16820857863763)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A02_paraensis</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(603.57831392547655,750.16820857863763)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A04_paraensis</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(595.66066296935185,750.16820857863763)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A05_paraensis</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(635.2489177499757,750.16820857863763)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A19_citrifolia</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(746.09603113572268,750.16820857863763)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A33_nymphaeifolia</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(738.17838017959787,750.16820857863763)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A41_nymphaeifolia</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(722.34307826734823,750.16820857863763)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A42_nymphaeifolia</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(429.38999289073155,750.16820857863763)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A48_trigonata</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(421.47234193460673,750.16820857863763)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A49_trigonata</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(445.22529480298113,750.16820857863763)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A55_triangle</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(524.40180436422884,750.16820857863763)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A59_dugandii</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(500.6488514958545,750.16820857863763)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A61_turbinata</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(579.82536105710221,750.16820857863763)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A65_pertusa</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(651.08421966222522,750.16820857863763)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A67_bullenei</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(643.16656870610063,750.16820857863763)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A70_bullenei</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(659.00187061835004,750.16820857863763)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A72_bullenei</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(484.81354958360498,750.16820857863763)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A77_colubrinae</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(548.15475723260317,750.16820857863763)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A82_perforata</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(540.23710627647847,750.16820857863763)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A83_perforata</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(563.99005914485269,750.16820857863763)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A84_perforata</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(571.9077101009774,750.16820857863763)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A85_perforata</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(468.97824767135546,750.16820857863763)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A87_costaricana</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(880.69609738984389,750.16820857863763)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A94_maxima</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(841.10784260921992,750.16820857863763)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A95_insipida</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(785.68428591634654,750.16820857863763)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A96_glabrata</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(761.9313330479722,750.16820857863763)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A97_glabrata</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(706.50777635509871,750.16820857863763)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">B102_obtusifolia</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(896.5313993020934,750.16820857863763)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">B119_maxima</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(904.44905025821822,750.16820857863763)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">B120_maxima</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(872.77844643371907,750.16820857863763)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">B123_maxima</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(801.51958782859606,750.16820857863763)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">B126_insipida</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(833.19019165309533,750.16820857863763)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">B127_insipida</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(825.2725406969704,750.16820857863763)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">B128_insipida</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(793.60193687247124,750.16820857863763)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">B130_glabrataXmaxima</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(777.76663496022172,750.16820857863763)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">B131_glabrataXmaxima</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(754.01368209184739,750.16820857863763)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">B133_glabrata</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(769.84898400409691,750.16820857863763)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">B134_glabrata</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(492.73120053972974,750.16820857863763)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C04_colubrinae</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(461.06059671523064,750.16820857863763)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C11_costaricana</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(508.56650245197932,750.16820857863763)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C12_dugandii</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(532.31945532035365,750.16820857863763)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C14_dugandii</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(817.35488974084569,750.16820857863763)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C15_insipida</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(888.61374834596859,750.16820857863763)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C17_maxima</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(912.36670121434292,750.16820857863763)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C18_maxima</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(730.26072922347316,750.16820857863763)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C19_nymphaeifolia</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(714.42542731122364,750.16820857863763)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C21_obtusifolia</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(698.59012539897401,750.16820857863763)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C22_obtusifolia</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(690.67247444284919,750.16820857863763)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C24_obtusifolia</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(666.91952157447486,750.16820857863763)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C25_popenoei</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(674.83717253059956,750.16820857863763)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C26_popenoei</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(682.75482348672438,750.16820857863763)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C27_popenoei</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(587.74301201322703,750.16820857863763)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C28_pertusa</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(437.30764384685631,750.16820857863763)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C30_triangle</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(453.14294575910588,750.16820857863763)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C31_triangle</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(413.55469097848191,750.16820857863763)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C36_trigonata</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(405.63704002235716,750.16820857863763)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C37_trigonata</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(381.88408715398282,750.16820857863763)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C39_trigonata</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(389.80173811010758,750.16820857863763)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C41_trigonata</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(397.7193890662324,750.16820857863763)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C43_trigonata</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(864.86079547759437,750.16820857863763)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C45_yoponensis</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(849.02549356534485,750.16820857863763)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C46_yoponensis</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(856.94314452146955,750.16820857863763)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C47_yoponensis</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(920.28435217046774,750.16820857863763)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C48_tonduzii</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(516.48415340810402,750.16820857863763)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C49_dugandii</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(809.43723878472088,750.16820857863763)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C50_insipida</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(556.07240818872799,750.16820857863763)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C51_perforata</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(627.331266793851,750.16820857863763)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C53_citrifolia</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(476.89589862748022,750.16820857863763)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C5_colubrinae</tspan></text></g></g></g></g></svg><div class=\"toyplot-interactive\"><ul class=\"toyplot-mark-popup\" onmouseleave=\"this.style.visibility='hidden'\" style=\"background:rgba(0%,0%,0%,0.75);border:0;border-radius:6px;color:white;cursor:default;list-style:none;margin:0;padding:5px;position:fixed;visibility:hidden\">\n",
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5.057499999999999, 5.539166666666667, 6.020833333333332, 6.5024999999999995, 6.984166666666667, 7.465833333333332, 7.9475, 8.429166666666667, 8.910833333333333, 9.392499999999998, 9.874166666666666, 10.355833333333333, 10.837499999999999, 11.319166666666666, 11.800833333333333, 12.282499999999999, 12.764166666666664, 13.245833333333334, 13.7275], [0.24083333333333332, 0.7224999999999999, 1.2041666666666666, 1.685833333333333, 2.1675, 2.6491666666666664, 3.1308333333333334, 3.6125, 4.094166666666666, 4.575833333333334, 5.057499999999999, 5.539166666666667, 6.020833333333332, 6.5024999999999995, 6.984166666666667, 7.465833333333332, 7.9475, 8.429166666666667, 8.910833333333333, 9.392499999999998, 9.874166666666666, 10.355833333333333, 10.837499999999999, 11.319166666666666, 11.800833333333333, 12.282499999999999, 12.764166666666664, 13.245833333333334, 13.7275, 14.209166666666665], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [1.2800000000000011, 1.2800000000000011, 1.2800000000000011, 1.2800000000000011, 1.2800000000000011, 1.2800000000000011, 1.2800000000000011, 1.2800000000000011, 1.2800000000000011, 1.2800000000000011, 1.2800000000000011, 1.2800000000000011, 1.2800000000000011, 1.2800000000000011, 1.2800000000000011, 1.2800000000000011, 1.2800000000000011, 1.2800000000000011, 1.2800000000000011, 1.2800000000000011, 1.2800000000000011, 1.2800000000000011, 1.2800000000000011, 1.2800000000000011, 1.2800000000000011, 1.2800000000000011, 1.2800000000000011, 1.2800000000000011, 1.2800000000000011, 1.2800000000000011], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.006225680933852118, 0.01992217898832678, 0.05976653696498033, 0.10645914396887107, 0.15999999999999945, 0.12513618677042757, 0.0890272373540853, 0.04295719844357962, 0.010583657587548602, 0.0018677042801556352, 0.0006225680933852119, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]], \"filename\": \"toyplot\"}, {\"title\": \"Bar Data\", \"names\": [\"left\", \"right\", \"baseline\", \"magnitude0\", \"magnitude1\"], \"id\": \"te949c51791fd4243b86c43ec21a0f9a8\", \"columns\": [[-0.24083333333333332, 0.24083333333333332, 0.7224999999999999, 1.2041666666666666, 1.685833333333333, 2.1675, 2.6491666666666664, 3.1308333333333334, 3.6125, 4.094166666666666, 4.575833333333334, 5.057499999999999, 5.539166666666667, 6.020833333333332, 6.5024999999999995, 6.984166666666667, 7.465833333333332, 7.9475, 8.429166666666667, 8.910833333333333, 9.392499999999998, 9.874166666666666, 10.355833333333333, 10.837499999999999, 11.319166666666666, 11.800833333333333, 12.282499999999999, 12.764166666666664, 13.245833333333334, 13.7275], [0.24083333333333332, 0.7224999999999999, 1.2041666666666666, 1.685833333333333, 2.1675, 2.6491666666666664, 3.1308333333333334, 3.6125, 4.094166666666666, 4.575833333333334, 5.057499999999999, 5.539166666666667, 6.020833333333332, 6.5024999999999995, 6.984166666666667, 7.465833333333332, 7.9475, 8.429166666666667, 8.910833333333333, 9.392499999999998, 9.874166666666666, 10.355833333333333, 10.837499999999999, 11.319166666666666, 11.800833333333333, 12.282499999999999, 12.764166666666664, 13.245833333333334, 13.7275, 14.209166666666665], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [1.0800000000000018, 1.0800000000000018, 1.0800000000000018, 1.0800000000000018, 1.0800000000000018, 1.0800000000000018, 1.0800000000000018, 1.0800000000000018, 1.0800000000000018, 1.0800000000000018, 1.0800000000000018, 1.0800000000000018, 1.0800000000000018, 1.0800000000000018, 1.0800000000000018, 1.0800000000000018, 1.0800000000000018, 1.0800000000000018, 1.0800000000000018, 1.0800000000000018, 1.0800000000000018, 1.0800000000000018, 1.0800000000000018, 1.0800000000000018, 1.0800000000000018, 1.0800000000000018, 1.0800000000000018, 1.0800000000000018, 1.0800000000000018, 1.0800000000000018], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.003333333333333322, 0.011333333333333273, 0.028666666666666563, 0.091333333333333, 0.12266666666666622, 0.15999999999999945, 0.12999999999999953, 0.07733333333333306, 0.0279999999999999, 0.011333333333333293, 0.0019999999999999927, 0.0006666666666666644, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]], \"filename\": \"toyplot\"}, {\"title\": \"Bar Data\", \"names\": [\"left\", \"right\", \"baseline\", \"magnitude0\", \"magnitude1\"], \"id\": \"t07644602fbff470aae4ea9123c8ed849\", \"columns\": [[-0.24083333333333332, 0.24083333333333332, 0.7224999999999999, 1.2041666666666666, 1.685833333333333, 2.1675, 2.6491666666666664, 3.1308333333333334, 3.6125, 4.094166666666666, 4.575833333333334, 5.057499999999999, 5.539166666666667, 6.020833333333332, 6.5024999999999995, 6.984166666666667, 7.465833333333332, 7.9475, 8.429166666666667, 8.910833333333333, 9.392499999999998, 9.874166666666666, 10.355833333333333, 10.837499999999999, 11.319166666666666, 11.800833333333333, 12.282499999999999, 12.764166666666664, 13.245833333333334, 13.7275], [0.24083333333333332, 0.7224999999999999, 1.2041666666666666, 1.685833333333333, 2.1675, 2.6491666666666664, 3.1308333333333334, 3.6125, 4.094166666666666, 4.575833333333334, 5.057499999999999, 5.539166666666667, 6.020833333333332, 6.5024999999999995, 6.984166666666667, 7.465833333333332, 7.9475, 8.429166666666667, 8.910833333333333, 9.392499999999998, 9.874166666666666, 10.355833333333333, 10.837499999999999, 11.319166666666666, 11.800833333333333, 12.282499999999999, 12.764166666666664, 13.245833333333334, 13.7275, 14.209166666666665], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.8800000000000001, 0.8800000000000001, 0.8800000000000001, 0.8800000000000001, 0.8800000000000001, 0.8800000000000001, 0.8800000000000001, 0.8800000000000001, 0.8800000000000001, 0.8800000000000001, 0.8800000000000001, 0.8800000000000001, 0.8800000000000001, 0.8800000000000001, 0.8800000000000001, 0.8800000000000001, 0.8800000000000001, 0.8800000000000001, 0.8800000000000001, 0.8800000000000001, 0.8800000000000001, 0.8800000000000001, 0.8800000000000001, 0.8800000000000001, 0.8800000000000001, 0.8800000000000001, 0.8800000000000001, 0.8800000000000001, 0.8800000000000001, 0.8800000000000001], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.002051282051282044, 0.01299145299145292, 0.039658119658119516, 0.09572649572649539, 0.14632478632478582, 0.15999999999999945, 0.13538461538461488, 0.07042735042735018, 0.017777777777777715, 0.0034188034188034062, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]], \"filename\": \"toyplot\"}];\n",
       "\n",
       "          function save_csv(data_table)\n",
       "          {\n",
       "            var uri = \"data:text/csv;charset=utf-8,\";\n",
       "            uri += data_table.names.join(\",\") + \"\\n\";\n",
       "            for(var i = 0; i != data_table.columns[0].length; ++i)\n",
       "            {\n",
       "              for(var j = 0; j != data_table.columns.length; ++j)\n",
       "              {\n",
       "                if(j)\n",
       "                  uri += \",\";\n",
       "                uri += data_table.columns[j][i];\n",
       "              }\n",
       "              uri += \"\\n\";\n",
       "            }\n",
       "            uri = encodeURI(uri);\n",
       "\n",
       "            var link = document.createElement(\"a\");\n",
       "            if(typeof link.download != \"undefined\")\n",
       "            {\n",
       "              link.href = uri;\n",
       "              link.style = \"visibility:hidden\";\n",
       "              link.download = data_table.filename + \".csv\";\n",
       "\n",
       "              document.body.appendChild(link);\n",
       "              link.click();\n",
       "              document.body.removeChild(link);\n",
       "            }\n",
       "            else\n",
       "            {\n",
       "              window.open(uri);\n",
       "            }\n",
       "          }\n",
       "\n",
       "          function open_popup(data_table)\n",
       "          {\n",
       "            return function(e)\n",
       "            {\n",
       "              var popup = document.querySelector(\"#t9bda6005c74f4e4083bb12d9aac0f812 .toyplot-mark-popup\");\n",
       "              popup.querySelector(\".toyplot-mark-popup-title\").innerHTML = data_table.title;\n",
       "              popup.querySelector(\".toyplot-mark-popup-save-csv\").onclick = function() { popup.style.visibility = \"hidden\"; save_csv(data_table); }\n",
       "              popup.style.left = (e.clientX - 50) + \"px\";\n",
       "              popup.style.top = (e.clientY - 20) + \"px\";\n",
       "              popup.style.visibility = \"visible\";\n",
       "              e.stopPropagation();\n",
       "              e.preventDefault();\n",
       "            }\n",
       "\n",
       "          }\n",
       "\n",
       "          for(var i = 0; i != data_tables.length; ++i)\n",
       "          {\n",
       "            var data_table = data_tables[i];\n",
       "            var event_target = document.querySelector(\"#\" + data_table.id);\n",
       "            event_target.oncontextmenu = open_popup(data_table);\n",
       "          }\n",
       "        })();\n",
       "        </script></div></div>"
      ],
      "text/plain": [
       "<toyplot.canvas.Canvas at 0x7f13ef3b5d90>"
      ]
     },
     "execution_count": 106,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## load into baba\n",
    "tre = baba.Tree(newick)\n",
    "canvas, axes = tre.draw(\n",
    "                    taxdicts=test1, \n",
    "                    bootsarr=b,\n",
    "                    height=1000,\n",
    "                    width=1000,\n",
    "                    show_tips=True,\n",
    "                    cex=\"12px\",\n",
    "                    pct_tree_x=0.5,\n",
    "                    pct_tree_y=0.2,\n",
    "                    #collapse_outgroup=1,\n",
    "                    test_labels=True,\n",
    "                    )\n",
    "\n",
    "toyplot.pdf.render(canvas, \"H1_pop-bull.pdf\")\n",
    "canvas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 137,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "test2 = [\n",
    "    #### perforata x bullenei\n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": clades[\"perforata\"],\n",
    "    \"p2\": clades[\"bullenei\"],\n",
    "    \"p1\": clades[\"popenoei\"], \n",
    "    },\n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": clades[\"perforata\"],\n",
    "    \"p2\": clades[\"bullenei\"],\n",
    "    \"p1\": clades[\"paraensis\"], \n",
    "    },\n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": clades[\"perforata\"],\n",
    "    \"p2\": clades[\"bullenei\"],\n",
    "    \"p1\": clades[\"citrifolia\"], \n",
    "    },\n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": clades[\"perforata\"],\n",
    "    \"p2\": clades[\"bullenei\"],\n",
    "    \"p1\": clades[\"nymphaeifolia\"], \n",
    "    },\n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": clades[\"perforata\"],\n",
    "    \"p2\": clades[\"bullenei\"],\n",
    "    \"p1\": clades[\"obtusifolia\"], \n",
    "    },    \n",
    "    \n",
    "    #### perforata x bullenei\n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": [\"A85_perforata\"],\n",
    "    \"p2\": clades[\"bullenei\"],\n",
    "    \"p1\": clades[\"popenoei\"], \n",
    "    },\n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": [\"A85_perforata\"],\n",
    "    \"p2\": clades[\"bullenei\"],\n",
    "    \"p1\": clades[\"paraensis\"], \n",
    "    },\n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": [\"A85_perforata\"],\n",
    "    \"p2\": clades[\"bullenei\"],\n",
    "    \"p1\": clades[\"citrifolia\"], \n",
    "    },\n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": [\"A85_perforata\"],\n",
    "    \"p2\": clades[\"bullenei\"],\n",
    "    \"p1\": clades[\"nymphaeifolia\"], \n",
    "    },\n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": [\"A85_perforata\"],\n",
    "    \"p2\": clades[\"bullenei\"],\n",
    "    \"p1\": clades[\"obtusifolia\"], \n",
    "    },      \n",
    "    \n",
    "    #### perforata x bullenei\n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": [\"A83_perforata\", \"A82_perforata\"],\n",
    "    \"p2\": clades[\"bullenei\"],\n",
    "    \"p1\": clades[\"popenoei\"], \n",
    "    },\n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": [\"A83_perforata\", \"A82_perforata\"],\n",
    "    \"p2\": clades[\"bullenei\"],\n",
    "    \"p1\": clades[\"paraensis\"], \n",
    "    },\n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": [\"A83_perforata\", \"A82_perforata\"],\n",
    "    \"p2\": clades[\"bullenei\"],\n",
    "    \"p1\": clades[\"citrifolia\"], \n",
    "    },\n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": [\"A83_perforata\", \"A82_perforata\"],\n",
    "    \"p2\": clades[\"bullenei\"],\n",
    "    \"p1\": clades[\"nymphaeifolia\"], \n",
    "    },\n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": [\"A83_perforata\", \"A82_perforata\"],\n",
    "    \"p2\": clades[\"bullenei\"],\n",
    "    \"p1\": clades[\"obtusifolia\"], \n",
    "    },    \n",
    "    \n",
    "    #### perforata x bullenei\n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": [\"A83_perforata\"],\n",
    "    \"p2\": clades[\"bullenei\"],\n",
    "    \"p1\": clades[\"popenoei\"], \n",
    "    },\n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": [\"A83_perforata\"],\n",
    "    \"p2\": clades[\"bullenei\"],\n",
    "    \"p1\": clades[\"paraensis\"], \n",
    "    },\n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": [\"A83_perforata\"],\n",
    "    \"p2\": clades[\"bullenei\"],\n",
    "    \"p1\": clades[\"citrifolia\"], \n",
    "    },\n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": [\"A83_perforata\"],\n",
    "    \"p2\": clades[\"bullenei\"],\n",
    "    \"p1\": clades[\"nymphaeifolia\"], \n",
    "    },\n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": [\"A83_perforata\"],\n",
    "    \"p2\": clades[\"bullenei\"],\n",
    "    \"p1\": clades[\"obtusifolia\"], \n",
    "    },  \n",
    "    \n",
    "    #### perforata x bullenei\n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": [\"C51_perforata\"],\n",
    "    \"p2\": clades[\"bullenei\"],\n",
    "    \"p1\": clades[\"popenoei\"], \n",
    "    },\n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": [\"C51_perforata\"],\n",
    "    \"p2\": clades[\"bullenei\"],\n",
    "    \"p1\": clades[\"paraensis\"], \n",
    "    },\n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": [\"C51_perforata\"],\n",
    "    \"p2\": clades[\"bullenei\"],\n",
    "    \"p1\": clades[\"citrifolia\"], \n",
    "    },\n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": [\"C51_perforata\"],\n",
    "    \"p2\": clades[\"bullenei\"],\n",
    "    \"p1\": clades[\"nymphaeifolia\"], \n",
    "    },\n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": [\"C51_perforata\"],\n",
    "    \"p2\": clades[\"bullenei\"],\n",
    "    \"p1\": clades[\"obtusifolia\"], \n",
    "    },  \n",
    "    #################################################\n",
    "    \n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": clades[\"perforata\"],\n",
    "    \"p2\": [\"A72_bullenei\"],\n",
    "    \"p1\": clades[\"popenoei\"], \n",
    "    },\n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": clades[\"perforata\"],\n",
    "    \"p2\": [\"A72_bullenei\"],\n",
    "    \"p1\": clades[\"paraensis\"], \n",
    "    },\n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": clades[\"perforata\"],\n",
    "    \"p2\": [\"A72_bullenei\"],\n",
    "    \"p1\": clades[\"citrifolia\"], \n",
    "    },\n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": clades[\"perforata\"],\n",
    "    \"p2\": [\"A72_bullenei\"],\n",
    "    \"p1\": clades[\"nymphaeifolia\"], \n",
    "    },\n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": clades[\"perforata\"],\n",
    "    \"p2\": [\"A72_bullenei\"],\n",
    "    \"p1\": clades[\"obtusifolia\"], \n",
    "    },    \n",
    "    \n",
    "    #### perforata x bullenei\n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": [\"A85_perforata\"],\n",
    "    \"p2\": [\"A72_bullenei\"],\n",
    "    \"p1\": clades[\"popenoei\"], \n",
    "    },\n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": [\"A85_perforata\"],\n",
    "    \"p2\": [\"A72_bullenei\"],\n",
    "    \"p1\": clades[\"paraensis\"], \n",
    "    },\n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": [\"A85_perforata\"],\n",
    "    \"p2\": [\"A72_bullenei\"],\n",
    "    \"p1\": clades[\"citrifolia\"], \n",
    "    },\n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": [\"A85_perforata\"],\n",
    "    \"p2\": [\"A72_bullenei\"],\n",
    "    \"p1\": clades[\"nymphaeifolia\"], \n",
    "    },\n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": [\"A85_perforata\"],\n",
    "    \"p2\": [\"A72_bullenei\"],\n",
    "    \"p1\": clades[\"obtusifolia\"], \n",
    "    },      \n",
    "    \n",
    "    #### perforata x bullenei\n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": [\"A83_perforata\", \"A82_perforata\"],\n",
    "    \"p2\": [\"A72_bullenei\"],\n",
    "    \"p1\": clades[\"popenoei\"], \n",
    "    },\n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": [\"A83_perforata\", \"A82_perforata\"],\n",
    "    \"p2\": [\"A72_bullenei\"],\n",
    "    \"p1\": clades[\"paraensis\"], \n",
    "    },\n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": [\"A83_perforata\", \"A82_perforata\"],\n",
    "    \"p2\": [\"A72_bullenei\"],\n",
    "    \"p1\": clades[\"citrifolia\"], \n",
    "    },\n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": [\"A83_perforata\", \"A82_perforata\"],\n",
    "    \"p2\": [\"A72_bullenei\"],\n",
    "    \"p1\": clades[\"nymphaeifolia\"], \n",
    "    },\n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": [\"A83_perforata\", \"A82_perforata\"],\n",
    "    \"p2\": [\"A72_bullenei\"],\n",
    "    \"p1\": clades[\"obtusifolia\"], \n",
    "    },    \n",
    "    \n",
    "    #### perforata x bullenei\n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": [\"A83_perforata\"],\n",
    "    \"p2\": [\"A72_bullenei\"],\n",
    "    \"p1\": clades[\"popenoei\"], \n",
    "    },\n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": [\"A83_perforata\"],\n",
    "    \"p2\": [\"A72_bullenei\"],\n",
    "    \"p1\": clades[\"paraensis\"], \n",
    "    },\n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": [\"A83_perforata\"],\n",
    "    \"p2\": [\"A72_bullenei\"],\n",
    "    \"p1\": clades[\"citrifolia\"], \n",
    "    },\n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": [\"A83_perforata\"],\n",
    "    \"p2\": [\"A72_bullenei\"],\n",
    "    \"p1\": clades[\"nymphaeifolia\"], \n",
    "    },\n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": [\"A83_perforata\"],\n",
    "    \"p2\": [\"A72_bullenei\"],\n",
    "    \"p1\": clades[\"obtusifolia\"], \n",
    "    },  \n",
    "    \n",
    "    #### perforata x bullenei\n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": [\"C51_perforata\"],\n",
    "    \"p2\": [\"A72_bullenei\"],\n",
    "    \"p1\": clades[\"popenoei\"], \n",
    "    },\n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": [\"C51_perforata\"],\n",
    "    \"p2\": [\"A72_bullenei\"],\n",
    "    \"p1\": clades[\"paraensis\"], \n",
    "    },\n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": [\"C51_perforata\"],\n",
    "    \"p2\": [\"A72_bullenei\"],\n",
    "    \"p1\": clades[\"citrifolia\"], \n",
    "    },\n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": [\"C51_perforata\"],\n",
    "    \"p2\": [\"A72_bullenei\"],\n",
    "    \"p1\": clades[\"nymphaeifolia\"], \n",
    "    },\n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": [\"C51_perforata\"],\n",
    "    \"p2\": [\"A72_bullenei\"],\n",
    "    \"p1\": clades[\"obtusifolia\"], \n",
    "    },  \n",
    "    ###########################################\n",
    "    \n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": clades[\"perforata\"],\n",
    "    \"p2\": [\"A70_bullenei\"],\n",
    "    \"p1\": clades[\"popenoei\"], \n",
    "    },\n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": clades[\"perforata\"],\n",
    "    \"p2\": [\"A70_bullenei\"],\n",
    "    \"p1\": clades[\"paraensis\"], \n",
    "    },\n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": clades[\"perforata\"],\n",
    "    \"p2\": [\"A70_bullenei\"],\n",
    "    \"p1\": clades[\"citrifolia\"], \n",
    "    },\n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": clades[\"perforata\"],\n",
    "    \"p2\": [\"A70_bullenei\"],\n",
    "    \"p1\": clades[\"nymphaeifolia\"], \n",
    "    },\n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": clades[\"perforata\"],\n",
    "    \"p2\": [\"A70_bullenei\"],\n",
    "    \"p1\": clades[\"obtusifolia\"], \n",
    "    },    \n",
    "    \n",
    "    #### perforata x bullenei\n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": [\"A85_perforata\"],\n",
    "    \"p2\": [\"A70_bullenei\"],\n",
    "    \"p1\": clades[\"popenoei\"], \n",
    "    },\n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": [\"A85_perforata\"],\n",
    "    \"p2\": [\"A70_bullenei\"],\n",
    "    \"p1\": clades[\"paraensis\"], \n",
    "    },\n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": [\"A85_perforata\"],\n",
    "    \"p2\": [\"A70_bullenei\"],\n",
    "    \"p1\": clades[\"citrifolia\"], \n",
    "    },\n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": [\"A85_perforata\"],\n",
    "    \"p2\": [\"A70_bullenei\"],\n",
    "    \"p1\": clades[\"nymphaeifolia\"], \n",
    "    },\n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": [\"A85_perforata\"],\n",
    "    \"p2\": [\"A70_bullenei\"],\n",
    "    \"p1\": clades[\"obtusifolia\"], \n",
    "    },      \n",
    "    \n",
    "    #### perforata x bullenei\n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": [\"A83_perforata\", \"A82_perforata\"],\n",
    "    \"p2\": [\"A70_bullenei\"],\n",
    "    \"p1\": clades[\"popenoei\"], \n",
    "    },\n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": [\"A83_perforata\", \"A82_perforata\"],\n",
    "    \"p2\": [\"A70_bullenei\"],\n",
    "    \"p1\": clades[\"paraensis\"], \n",
    "    },\n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": [\"A83_perforata\", \"A82_perforata\"],\n",
    "    \"p2\": [\"A70_bullenei\"],\n",
    "    \"p1\": clades[\"citrifolia\"], \n",
    "    },\n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": [\"A83_perforata\", \"A82_perforata\"],\n",
    "    \"p2\": [\"A70_bullenei\"],\n",
    "    \"p1\": clades[\"nymphaeifolia\"], \n",
    "    },\n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": [\"A83_perforata\", \"A82_perforata\"],\n",
    "    \"p2\": [\"A70_bullenei\"],\n",
    "    \"p1\": clades[\"obtusifolia\"], \n",
    "    },    \n",
    "    \n",
    "    #### perforata x bullenei\n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": [\"A83_perforata\"],\n",
    "    \"p2\": [\"A70_bullenei\"],\n",
    "    \"p1\": clades[\"popenoei\"], \n",
    "    },\n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": [\"A83_perforata\"],\n",
    "    \"p2\": [\"A70_bullenei\"],\n",
    "    \"p1\": clades[\"paraensis\"], \n",
    "    },\n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": [\"A83_perforata\"],\n",
    "    \"p2\": [\"A70_bullenei\"],\n",
    "    \"p1\": clades[\"citrifolia\"], \n",
    "    },\n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": [\"A83_perforata\"],\n",
    "    \"p2\": [\"A70_bullenei\"],\n",
    "    \"p1\": clades[\"nymphaeifolia\"], \n",
    "    },\n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": [\"A83_perforata\"],\n",
    "    \"p2\": [\"A70_bullenei\"],\n",
    "    \"p1\": clades[\"obtusifolia\"], \n",
    "    },  \n",
    "    \n",
    "    #### perforata x bullenei\n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": [\"C51_perforata\"],\n",
    "    \"p2\": [\"A70_bullenei\"],\n",
    "    \"p1\": clades[\"popenoei\"], \n",
    "    },\n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": [\"C51_perforata\"],\n",
    "    \"p2\": [\"A70_bullenei\"],\n",
    "    \"p1\": clades[\"paraensis\"], \n",
    "    },\n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": [\"C51_perforata\"],\n",
    "    \"p2\": [\"A70_bullenei\"],\n",
    "    \"p1\": clades[\"citrifolia\"], \n",
    "    },\n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": [\"C51_perforata\"],\n",
    "    \"p2\": [\"A70_bullenei\"],\n",
    "    \"p1\": clades[\"nymphaeifolia\"], \n",
    "    },\n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": [\"C51_perforata\"],\n",
    "    \"p2\": [\"A70_bullenei\"],\n",
    "    \"p1\": clades[\"obtusifolia\"], \n",
    "    },  \n",
    "    ###########################################\n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": clades[\"bullenei\"], \n",
    "    \"p2\": clades[\"perforata\"],\n",
    "    \"p1\": clades[\"pertusa\"], \n",
    "    },  \n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": clades[\"bullenei\"], \n",
    "    \"p2\": clades[\"perforata\"],\n",
    "    \"p1\": clades[\"colubrinae\"], \n",
    "    },  \n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": clades[\"bullenei\"], \n",
    "    \"p2\": clades[\"perforata\"],\n",
    "    \"p1\": clades[\"dugandii\"], \n",
    "    },  \n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": clades[\"bullenei\"], \n",
    "    \"p2\": clades[\"perforata\"],\n",
    "    \"p1\": clades[\"costaricana\"], \n",
    "    },  \n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": clades[\"bullenei\"], \n",
    "    \"p2\": clades[\"perforata\"],\n",
    "    \"p1\": clades[\"triangle\"], \n",
    "    },  \n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": clades[\"bullenei\"], \n",
    "    \"p2\": clades[\"perforata\"],\n",
    "    \"p1\": clades[\"trigonata\"], \n",
    "    },    \n",
    "]\n",
    "\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 138,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  [####################] 100%  calculating D-stats  | 0:01:19 |  \n",
      "\n"
     ]
    }
   ],
   "source": [
    "r, b = baba.batch(locfile, test2, ipyclient=ipyclient)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 136,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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AAnQAAAAAAAqAAB0AAAAAgAK4stcHAAAAAPQj121KY60hIiKNxpq4blNe/erXyM+f+LmM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xuEJEmOXje5ZC6hViNJWZ/XmeWKNOJF6hKJEamrvqER9Q2NlvPKkDU20Imo5Ik0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\nZz/9qcWFhZ/02k6pGdXPR3/59sXHH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style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:middle\" transform=\"translate(283.87313429225139,2059.4006309148267)\"><tspan style=\"dominant-baseline:inherit\">0.0</tspan></text></g></g><g class=\"toyplot-mark-Text\" id=\"tae9b4b87a3e94760b198c98807ecc98a\" style=\"-toyplot-anchor-shift:0;alignment-baseline:middle;font-size:12px;font-weight:normal;stroke:none;text-anchor:middle\"><g class=\"toyplot-Series\"><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:middle\" transform=\"translate(128.72239005714974,2082.3974763406941)\"><tspan style=\"dominant-baseline:inherit\">BABA</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:middle\" transform=\"translate(206.29776217470058,2082.3974763406941)\"><tspan style=\"dominant-baseline:inherit\">ABBA</tspan></text></g></g><g class=\"toyplot-mark-Text\" id=\"t72134020e3054ed9a05152ba0e46af12\" style=\"-toyplot-anchor-shift:0;alignment-baseline:middle;font-size:12px;font-weight:normal;stroke:none;text-anchor:middle\"><g class=\"toyplot-Series\"><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:middle\" transform=\"translate(167.51007611592513,300.14195583596234)\"><tspan style=\"dominant-baseline:inherit\">Bootstrap D-statistics</tspan></text><text class=\"toyplot-Datum\" 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style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(570.73200742820063,2047.9022082018928)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A02_paraensis</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(561.78444432352342,2047.9022082018928)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A04_paraensis</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(552.83688121884632,2047.9022082018928)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A05_paraensis</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(597.57469674223205,2047.9022082018928)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A19_citrifolia</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(722.84058020771215,2047.9022082018928)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A33_nymphaeifolia</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(713.89301710303494,2047.9022082018928)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A41_nymphaeifolia</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(695.99789089368073,2047.9022082018928)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A42_nymphaeifolia</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(364.93805602062633,2047.9022082018928)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A48_trigonata</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(355.99049291594918,2047.9022082018928)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A49_trigonata</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(382.83318222998059,2047.9022082018928)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A55_triangle</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(472.30881327675201,2047.9022082018928)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A59_dugandii</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(445.46612396272059,2047.9022082018928)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A61_turbinata</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(534.941755009492,2047.9022082018928)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A65_pertusa</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(615.46982295158637,2047.9022082018928)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A67_bullenei</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(606.52225984690915,2047.9022082018928)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A70_bullenei</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(624.41738605626358,2047.9022082018928)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A72_bullenei</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(427.57099775336633,2047.9022082018928)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A77_colubrinae</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(499.15150259078342,2047.9022082018928)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A82_perforata</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(490.20393948610632,2047.9022082018928)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A83_perforata</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(517.0466288001378,2047.9022082018928)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A84_perforata</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(525.9941919048149,2047.9022082018928)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A85_perforata</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(409.67587154401201,2047.9022082018928)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A87_costaricana</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(874.94915298722356,2047.9022082018928)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A94_maxima</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(830.21133746383782,2047.9022082018928)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A95_insipida</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(767.57839573109788,2047.9022082018928)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A96_glabrata</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(740.73570641706647,2047.9022082018928)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A97_glabrata</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(678.10276468432642,2047.9022082018928)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">B102_obtusifolia</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(892.84427919657787,2047.9022082018928)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">B119_maxima</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(901.79184230125497,2047.9022082018928)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">B120_maxima</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(866.00158988254645,2047.9022082018928)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">B123_maxima</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(785.4735219404522,2047.9022082018928)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">B126_insipida</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(821.26377435916072,2047.9022082018928)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">B127_insipida</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(812.31621125448351,2047.9022082018928)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">B128_insipida</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(776.52595883577499,2047.9022082018928)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">B130_glabrataXmaxima</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(758.63083262642078,2047.9022082018928)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">B131_glabrataXmaxima</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(731.78814331238925,2047.9022082018928)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">B133_glabrata</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(749.68326952174357,2047.9022082018928)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">B134_glabrata</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(436.51856085804343,2047.9022082018928)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C04_colubrinae</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(400.72830843933485,2047.9022082018928)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C11_costaricana</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(454.41368706739769,2047.9022082018928)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C12_dugandii</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(481.25637638142916,2047.9022082018928)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C14_dugandii</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(803.3686481498064,2047.9022082018928)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C15_insipida</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(883.89671609190077,2047.9022082018928)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C17_maxima</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(910.73940540593219,2047.9022082018928)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C18_maxima</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(704.94545399835783,2047.9022082018928)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C19_nymphaeifolia</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(687.05032778900352,2047.9022082018928)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C21_obtusifolia</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(669.1552015796492,2047.9022082018928)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C22_obtusifolia</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(660.2076384749721,2047.9022082018928)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C24_obtusifolia</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(633.36494916094068,2047.9022082018928)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C25_popenoei</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(642.31251226561778,2047.9022082018928)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C26_popenoei</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(651.260075370295,2047.9022082018928)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C27_popenoei</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(543.8893181141691,2047.9022082018928)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C28_pertusa</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(373.88561912530349,2047.9022082018928)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C30_triangle</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(391.78074533465769,2047.9022082018928)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C31_triangle</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(347.04292981127202,2047.9022082018928)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C36_trigonata</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(338.09536670659486,2047.9022082018928)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C37_trigonata</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(311.25267739256344,2047.9022082018928)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C39_trigonata</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(320.2002404972406,2047.9022082018928)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C41_trigonata</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(329.14780360191776,2047.9022082018928)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C43_trigonata</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(857.05402677786924,2047.9022082018928)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C45_yoponensis</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(839.15890056851492,2047.9022082018928)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C46_yoponensis</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(848.10646367319214,2047.9022082018928)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C47_yoponensis</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(919.68696851060929,2047.9022082018928)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C48_tonduzii</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(463.36125017207485,2047.9022082018928)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C49_dugandii</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(794.4210850451293,2047.9022082018928)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C50_insipida</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(508.09906569546058,2047.9022082018928)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C51_perforata</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(588.62713363755495,2047.9022082018928)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C53_citrifolia</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(418.62343464868917,2047.9022082018928)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C5_colubrinae</tspan></text></g></g></g></g></svg><div class=\"toyplot-interactive\"><ul class=\"toyplot-mark-popup\" onmouseleave=\"this.style.visibility='hidden'\" 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       "                Save as .csv\n",
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       "        (function()\n",
       "        {\n",
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\"filename\": \"toyplot\"}, {\"title\": \"Bar Data\", \"names\": [\"left\", \"right\", \"baseline\", \"magnitude0\", \"magnitude1\"], \"id\": \"t90f0a43911584e05912363c75662fd6d\", \"columns\": [[-0.1445, 0.1445, 0.4335, 0.7224999999999999, 1.0114999999999998, 1.3005, 1.5895, 1.8784999999999998, 2.1674999999999995, 2.4565, 2.7455, 3.0344999999999995, 3.3235, 3.6125, 3.9014999999999995, 4.1905, 4.4795, 4.7684999999999995, 5.057499999999999, 5.3465, 5.6354999999999995, 5.9245, 6.2135, 6.5024999999999995, 6.791499999999999, 7.0805, 7.3694999999999995, 7.658499999999999, 7.947499999999999, 8.2365], [0.1445, 0.4335, 0.7224999999999999, 1.0114999999999998, 1.3005, 1.5895, 1.8784999999999998, 2.1674999999999995, 2.4565, 2.7455, 3.0344999999999995, 3.3235, 3.6125, 3.9014999999999995, 4.1905, 4.4795, 4.7684999999999995, 5.057499999999999, 5.3465, 5.6354999999999995, 5.9245, 6.2135, 6.5024999999999995, 6.791499999999999, 7.0805, 7.3694999999999995, 7.658499999999999, 7.947499999999999, 8.2365, 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0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]], \"filename\": \"toyplot\"}, {\"title\": \"Bar Data\", \"names\": [\"left\", \"right\", \"baseline\", \"magnitude0\", \"magnitude1\"], \"id\": \"t8597fd54bb464f788b7f380456bbbab1\", \"columns\": [[-0.1445, 0.1445, 0.4335, 0.7224999999999999, 1.0114999999999998, 1.3005, 1.5895, 1.8784999999999998, 2.1674999999999995, 2.4565, 2.7455, 3.0344999999999995, 3.3235, 3.6125, 3.9014999999999995, 4.1905, 4.4795, 4.7684999999999995, 5.057499999999999, 5.3465, 5.6354999999999995, 5.9245, 6.2135, 6.5024999999999995, 6.791499999999999, 7.0805, 7.3694999999999995, 7.658499999999999, 7.947499999999999, 8.2365], [0.1445, 0.4335, 0.7224999999999999, 1.0114999999999998, 1.3005, 1.5895, 1.8784999999999998, 2.1674999999999995, 2.4565, 2.7455, 3.0344999999999995, 3.3235, 3.6125, 3.9014999999999995, 4.1905, 4.4795, 4.7684999999999995, 5.057499999999999, 5.3465, 5.6354999999999995, 5.9245, 6.2135, 6.5024999999999995, 6.791499999999999, 7.0805, 7.3694999999999995, 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0.0014231805929919104, 0.00028463611859838285, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]], \"filename\": \"toyplot\"}];\n",
       "\n",
       "          function save_csv(data_table)\n",
       "          {\n",
       "            var uri = \"data:text/csv;charset=utf-8,\";\n",
       "            uri += data_table.names.join(\",\") + \"\\n\";\n",
       "            for(var i = 0; i != data_table.columns[0].length; ++i)\n",
       "            {\n",
       "              for(var j = 0; j != data_table.columns.length; ++j)\n",
       "              {\n",
       "                if(j)\n",
       "                  uri += \",\";\n",
       "                uri += data_table.columns[j][i];\n",
       "              }\n",
       "              uri += \"\\n\";\n",
       "            }\n",
       "            uri = encodeURI(uri);\n",
       "\n",
       "            var link = document.createElement(\"a\");\n",
       "            if(typeof link.download != \"undefined\")\n",
       "            {\n",
       "              link.href = uri;\n",
       "              link.style = \"visibility:hidden\";\n",
       "              link.download = data_table.filename + \".csv\";\n",
       "\n",
       "              document.body.appendChild(link);\n",
       "              link.click();\n",
       "              document.body.removeChild(link);\n",
       "            }\n",
       "            else\n",
       "            {\n",
       "              window.open(uri);\n",
       "            }\n",
       "          }\n",
       "\n",
       "          function open_popup(data_table)\n",
       "          {\n",
       "            return function(e)\n",
       "            {\n",
       "              var popup = document.querySelector(\"#t88b736c012a24604afa298c68c31751f .toyplot-mark-popup\");\n",
       "              popup.querySelector(\".toyplot-mark-popup-title\").innerHTML = data_table.title;\n",
       "              popup.querySelector(\".toyplot-mark-popup-save-csv\").onclick = function() { popup.style.visibility = \"hidden\"; save_csv(data_table); }\n",
       "              popup.style.left = (e.clientX - 50) + \"px\";\n",
       "              popup.style.top = (e.clientY - 20) + \"px\";\n",
       "              popup.style.visibility = \"visible\";\n",
       "              e.stopPropagation();\n",
       "              e.preventDefault();\n",
       "            }\n",
       "\n",
       "          }\n",
       "\n",
       "          for(var i = 0; i != data_tables.length; ++i)\n",
       "          {\n",
       "            var data_table = data_tables[i];\n",
       "            var event_target = document.querySelector(\"#\" + data_table.id);\n",
       "            event_target.oncontextmenu = open_popup(data_table);\n",
       "          }\n",
       "        })();\n",
       "        </script></div></div>"
      ],
      "text/plain": [
       "<toyplot.canvas.Canvas at 0x7f13ef6945d0>"
      ]
     },
     "execution_count": 136,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## load into baba\n",
    "tre = baba.Tree(newick)\n",
    "canvas, axes = tre.draw(\n",
    "                    taxdicts=test2, \n",
    "                    bootsarr=b,\n",
    "                    height=2400,\n",
    "                    width=1000,\n",
    "                    show_tips=True,\n",
    "                    cex=\"12px\",\n",
    "                    pct_tree_x=0.3,\n",
    "                    pct_tree_y=0.1,\n",
    "                    #collapse_outgroup=1,\n",
    "                    test_labels=True,\n",
    "                    )\n",
    "\n",
    "toyplot.pdf.render(canvas, \"H2_perf-bull.pdf\")\n",
    "canvas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 139,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "test3 = [\n",
    "    ## popenoei x triangle\n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": clades[\"popenoei\"],\n",
    "    \"p2\": clades[\"triangle\"],\n",
    "    \"p1\": clades[\"trigonata\"],\n",
    "    },\n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": clades[\"popenoei\"],\n",
    "    \"p2\": clades[\"triangle\"],\n",
    "    \"p1\": clades[\"costaricana\"],\n",
    "    },\n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": clades[\"popenoei\"],\n",
    "    \"p2\": clades[\"triangle\"],\n",
    "    \"p1\": clades[\"dugandii\"],\n",
    "    },\n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": clades[\"popenoei\"],\n",
    "    \"p2\": clades[\"triangle\"],\n",
    "    \"p1\": clades[\"colubrinae\"],\n",
    "    },\n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": clades[\"popenoei\"],\n",
    "    \"p2\": clades[\"triangle\"],\n",
    "    \"p1\": clades[\"perforata\"],\n",
    "    },\n",
    "    \n",
    "    \n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 140,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  [####################] 100%  calculating D-stats  | 0:00:36 |  \n",
      "\n"
     ]
    }
   ],
   "source": [
    "r, b = baba.batch(locfile, test3, ipyclient=ipyclient)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 144,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\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>ABBA</th>\n",
       "      <th>BABA</th>\n",
       "      <th>Z</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.002641</td>\n",
       "      <td>0.003744</td>\n",
       "      <td>0.022751</td>\n",
       "      <td>1015.518457</td>\n",
       "      <td>1010.167861</td>\n",
       "      <td>0.164541</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.091572</td>\n",
       "      <td>0.092538</td>\n",
       "      <td>0.021958</td>\n",
       "      <td>1181.167344</td>\n",
       "      <td>982.991363</td>\n",
       "      <td>4.214278</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>-0.048482</td>\n",
       "      <td>-0.048439</td>\n",
       "      <td>0.021647</td>\n",
       "      <td>1130.513082</td>\n",
       "      <td>1245.717063</td>\n",
       "      <td>2.237656</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.158460</td>\n",
       "      <td>0.158241</td>\n",
       "      <td>0.019205</td>\n",
       "      <td>1480.358425</td>\n",
       "      <td>1075.377662</td>\n",
       "      <td>8.239374</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.181425</td>\n",
       "      <td>0.181416</td>\n",
       "      <td>0.019368</td>\n",
       "      <td>1615.818162</td>\n",
       "      <td>1119.552729</td>\n",
       "      <td>9.366595</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      dstat  bootmean   bootstd         ABBA         BABA         Z\n",
       "0  0.002641  0.003744  0.022751  1015.518457  1010.167861  0.164541\n",
       "1  0.091572  0.092538  0.021958  1181.167344   982.991363  4.214278\n",
       "2 -0.048482 -0.048439  0.021647  1130.513082  1245.717063  2.237656\n",
       "3  0.158460  0.158241  0.019205  1480.358425  1075.377662  8.239374\n",
       "4  0.181425  0.181416  0.019368  1615.818162  1119.552729  9.366595"
      ]
     },
     "execution_count": 144,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "r"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 145,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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W27tNutatk1DoTNm3b5/htaAF5XZyBetf+srX5MILL6ypIF2/h7lI8Q3t1dZo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\nB8fGxsbG0unXxuKDg9pjq2PM1L8ZHh4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J7x5kLjvr6ia4ymdODWVuRmq5bdieWeBCcZlM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uAISgzjDb2LSqaWtoDqELFMZrWzUyWVMaVL144k+7pUxl2aR5FKpWpuRyeTaWtDujUdeu0AKsr3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\nczTqQ6H3941yLlR5J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style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:middle\" transform=\"translate(129.66802599642708,405.62033898305089)\"><tspan style=\"dominant-baseline:inherit\">-0.3</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:middle\" transform=\"translate(168.92164087052373,405.62033898305089)\"><tspan style=\"dominant-baseline:inherit\">0.0</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:middle\" transform=\"translate(208.17525574462042,405.62033898305089)\"><tspan style=\"dominant-baseline:inherit\">0.3</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:middle\" transform=\"translate(235.88368977339451,405.62033898305089)\"><tspan style=\"dominant-baseline:inherit\">10.0</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:middle\" transform=\"translate(286.68248549281373,405.62033898305089)\"><tspan style=\"dominant-baseline:inherit\">0.0</tspan></text></g></g><g class=\"toyplot-mark-Text\" id=\"t9601fb435b0d4c96965bf241b57c75f4\" style=\"-toyplot-anchor-shift:0;alignment-baseline:middle;font-size:12px;font-weight:normal;stroke:none;text-anchor:middle\"><g class=\"toyplot-Series\"><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:middle\" transform=\"translate(129.66802599642708,451.74915254237288)\"><tspan style=\"dominant-baseline:inherit\">BABA</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:middle\" transform=\"translate(208.17525574462042,451.74915254237288)\"><tspan style=\"dominant-baseline:inherit\">ABBA</tspan></text></g></g><g class=\"toyplot-mark-Text\" id=\"td561f15ac2004087bce0f6383cc4781c\" style=\"-toyplot-anchor-shift:0;alignment-baseline:middle;font-size:12px;font-weight:normal;stroke:none;text-anchor:middle\"><g class=\"toyplot-Series\"><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:middle\" transform=\"translate(168.92164087052373,105.7830508474577)\"><tspan style=\"dominant-baseline:inherit\">Bootstrap D-statistics</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:middle\" transform=\"translate(261.28308763310417,105.7830508474577)\"><tspan style=\"dominant-baseline:inherit\">Z-scores</tspan></text></g></g><g class=\"toyplot-mark-Text\" id=\"t369527cf2c52449e8cb68d537179a63b\" style=\"-toyplot-anchor-shift:0;alignment-baseline:middle;font-size:12px;font-weight:normal;stroke:none;text-anchor:start\"><g class=\"toyplot-Series\"><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(586.04223352917722,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A01_paraensis</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(576.98718972892414,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A02_paraensis</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(567.93214592867128,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A04_paraensis</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(558.87710212841819,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A05_paraensis</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(604.15232112968306,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A19_citrifolia</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(730.92293433322493,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A33_nymphaeifolia</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(721.86789053297196,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A41_nymphaeifolia</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(703.75780293246589,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A42_nymphaeifolia</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(368.72118232310572,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A48_trigonata</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(359.66613852285269,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A49_trigonata</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(386.83126992361161,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A55_triangle</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(477.38170792614136,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A59_dugandii</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(450.21657652538249,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A61_turbinata</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(540.76701452791224,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A65_pertusa</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(622.26240873018912,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A67_bullenei</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(613.20736492993615,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A70_bullenei</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(631.3174525304421,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A72_bullenei</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(432.10648892487654,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A77_colubrinae</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(504.54683932690034,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A82_perforata</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(495.49179552664737,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A83_perforata</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(522.65692692740629,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A84_perforata</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(531.71197072765938,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A85_perforata</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(413.99640132437054,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A87_costaricana</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(884.8586789375255,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A94_maxima</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(839.58345993626062,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A95_insipida</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(776.1981533344898,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A96_glabrata</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(749.03302193373077,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A97_glabrata</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(685.64771533195994,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">B102_obtusifolia</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(902.96876653803145,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">B119_maxima</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(912.02381033828442,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">B120_maxima</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(875.80363513727252,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">B123_maxima</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(794.30824093499575,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">B126_insipida</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(830.52841613600765,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">B127_insipida</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(821.47337233575468,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">B128_insipida</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(785.25319713474278,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">B130_glabrataXmaxima</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(767.14310953423683,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">B131_glabrataXmaxima</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(739.9779781334779,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">B133_glabrata</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(758.08806573398374,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">B134_glabrata</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(441.16153272512952,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C04_colubrinae</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(404.94135752411762,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C11_costaricana</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(459.27162032563547,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C12_dugandii</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(486.43675172639439,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C14_dugandii</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(812.4183285355017,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C15_insipida</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(893.91372273777847,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C17_maxima</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(921.07885413853739,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C18_maxima</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(712.81284673271898,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C19_nymphaeifolia</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(694.70275913221292,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C21_obtusifolia</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(676.59267153170708,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C22_obtusifolia</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(667.53762773145411,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C24_obtusifolia</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(640.37249633069507,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C25_popenoei</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(649.42754013094805,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C26_popenoei</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(658.48258393120102,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C27_popenoei</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(549.82205832816521,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C28_pertusa</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(377.77622612335864,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C30_triangle</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(395.88631372386465,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C31_triangle</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(350.61109472259972,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C36_trigonata</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(341.5560509223468,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C37_trigonata</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(314.39091952158782,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C39_trigonata</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(323.44596332184079,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C41_trigonata</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(332.50100712209377,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C43_trigonata</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(866.74859133701955,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C45_yoponensis</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(848.6385037365136,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C46_yoponensis</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(857.69354753676657,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C47_yoponensis</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(930.13389793879037,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C48_tonduzii</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(468.32666412588844,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C49_dugandii</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(803.36328473524861,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C50_insipida</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(513.60188312715331,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C51_perforata</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(595.09727732943009,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C53_citrifolia</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(423.05144512462357,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C5_colubrinae</tspan></text></g></g></g></g></svg><div class=\"toyplot-interactive\"><ul class=\"toyplot-mark-popup\" onmouseleave=\"this.style.visibility='hidden'\" style=\"background:rgba(0%,0%,0%,0.75);border:0;border-radius:6px;color:white;cursor:default;list-style:none;margin:0;padding:5px;position:fixed;visibility:hidden\">\n",
       "            <li class=\"toyplot-mark-popup-title\" style=\"color:lightgray;cursor:default;padding:5px;list-style:none;margin:0\"></li>\n",
       "            <li class=\"toyplot-mark-popup-save-csv\" onmouseout=\"this.style.color='white';this.style.background='steelblue'\" onmouseover=\"this.style.color='steelblue';this.style.background='white'\" style=\"border-radius:3px;padding:5px;list-style:none;margin:0\">\n",
       "                Save as .csv\n",
       "            </li>\n",
       "        </ul><script>\n",
       "        (function()\n",
       "        {\n",
       "          var data_tables = [{\"title\": \"Bar Data\", \"names\": [\"left\", \"right\", \"baseline\", \"magnitude0\", \"magnitude1\"], \"id\": \"t169ee9be84ae451690388ec5a49d7b60\", \"columns\": [[-0.1445, 0.1445, 0.4335, 0.7224999999999999, 1.0114999999999998, 1.3005, 1.5895, 1.8784999999999998, 2.1674999999999995, 2.4565, 2.7455, 3.0344999999999995, 3.3235, 3.6125, 3.9014999999999995, 4.1905, 4.4795, 4.7684999999999995, 5.057499999999999, 5.3465, 5.6354999999999995, 5.9245, 6.2135, 6.5024999999999995, 6.791499999999999, 7.0805, 7.3694999999999995, 7.658499999999999, 7.947499999999999, 8.2365], [0.1445, 0.4335, 0.7224999999999999, 1.0114999999999998, 1.3005, 1.5895, 1.8784999999999998, 2.1674999999999995, 2.4565, 2.7455, 3.0344999999999995, 3.3235, 3.6125, 3.9014999999999995, 4.1905, 4.4795, 4.7684999999999995, 5.057499999999999, 5.3465, 5.6354999999999995, 5.9245, 6.2135, 6.5024999999999995, 6.791499999999999, 7.0805, 7.3694999999999995, 7.658499999999999, 7.947499999999999, 8.2365, 8.525500000000001], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [6.929999999999999, 6.929999999999999, 6.929999999999999, 6.929999999999999, 6.929999999999999, 6.929999999999999, 6.929999999999999, 6.929999999999999, 6.929999999999999, 6.929999999999999, 6.929999999999999, 6.929999999999999, 6.929999999999999, 6.929999999999999, 6.929999999999999, 6.929999999999999, 6.929999999999999, 6.929999999999999, 6.929999999999999, 6.929999999999999, 6.929999999999999, 6.929999999999999, 6.929999999999999, 6.929999999999999, 6.929999999999999, 6.929999999999999, 6.929999999999999, 6.929999999999999, 6.929999999999999, 6.929999999999999], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.007948387096774206, 0.07550967741935485, 0.4808774193548387, 1.2240516129032293, 1.2320000000000002, 0.7074064516129034, 0.23050322580645224, 0.015896774193548388, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]], \"filename\": \"toyplot\"}, {\"title\": \"Bar Data\", \"names\": [\"left\", \"right\", \"baseline\", \"magnitude0\", \"magnitude1\"], \"id\": \"t04ee230682e44671a47730e518d40db2\", \"columns\": [[-0.1445, 0.1445, 0.4335, 0.7224999999999999, 1.0114999999999998, 1.3005, 1.5895, 1.8784999999999998, 2.1674999999999995, 2.4565, 2.7455, 3.0344999999999995, 3.3235, 3.6125, 3.9014999999999995, 4.1905, 4.4795, 4.7684999999999995, 5.057499999999999, 5.3465, 5.6354999999999995, 5.9245, 6.2135, 6.5024999999999995, 6.791499999999999, 7.0805, 7.3694999999999995, 7.658499999999999, 7.947499999999999, 8.2365], [0.1445, 0.4335, 0.7224999999999999, 1.0114999999999998, 1.3005, 1.5895, 1.8784999999999998, 2.1674999999999995, 2.4565, 2.7455, 3.0344999999999995, 3.3235, 3.6125, 3.9014999999999995, 4.1905, 4.4795, 4.7684999999999995, 5.057499999999999, 5.3465, 5.6354999999999995, 5.9245, 6.2135, 6.5024999999999995, 6.791499999999999, 7.0805, 7.3694999999999995, 7.658499999999999, 7.947499999999999, 8.2365, 8.525500000000001], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [5.389999999999999, 5.389999999999999, 5.389999999999999, 5.389999999999999, 5.389999999999999, 5.389999999999999, 5.389999999999999, 5.389999999999999, 5.389999999999999, 5.389999999999999, 5.389999999999999, 5.389999999999999, 5.389999999999999, 5.389999999999999, 5.389999999999999, 5.389999999999999, 5.389999999999999, 5.389999999999999, 5.389999999999999, 5.389999999999999, 5.389999999999999, 5.389999999999999, 5.389999999999999, 5.389999999999999, 5.389999999999999, 5.389999999999999, 5.389999999999999, 5.389999999999999, 5.389999999999999, 5.389999999999999], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.017803468208092484, 0.21364161849711039, 0.8189595375722544, 1.2320000000000002, 0.9186589595375747, 0.26705202312138726, 0.08545664739884393, 0.0071213872832370136, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]], \"filename\": \"toyplot\"}, {\"title\": \"Bar Data\", \"names\": [\"left\", \"right\", \"baseline\", \"magnitude0\", \"magnitude1\"], \"id\": \"t2f0011a4a5c9439b83c57c4baf404833\", \"columns\": [[-0.1445, 0.1445, 0.4335, 0.7224999999999999, 1.0114999999999998, 1.3005, 1.5895, 1.8784999999999998, 2.1674999999999995, 2.4565, 2.7455, 3.0344999999999995, 3.3235, 3.6125, 3.9014999999999995, 4.1905, 4.4795, 4.7684999999999995, 5.057499999999999, 5.3465, 5.6354999999999995, 5.9245, 6.2135, 6.5024999999999995, 6.791499999999999, 7.0805, 7.3694999999999995, 7.658499999999999, 7.947499999999999, 8.2365], [0.1445, 0.4335, 0.7224999999999999, 1.0114999999999998, 1.3005, 1.5895, 1.8784999999999998, 2.1674999999999995, 2.4565, 2.7455, 3.0344999999999995, 3.3235, 3.6125, 3.9014999999999995, 4.1905, 4.4795, 4.7684999999999995, 5.057499999999999, 5.3465, 5.6354999999999995, 5.9245, 6.2135, 6.5024999999999995, 6.791499999999999, 7.0805, 7.3694999999999995, 7.658499999999999, 7.947499999999999, 8.2365, 8.525500000000001], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [3.8499999999999996, 3.8499999999999996, 3.8499999999999996, 3.8499999999999996, 3.8499999999999996, 3.8499999999999996, 3.8499999999999996, 3.8499999999999996, 3.8499999999999996, 3.8499999999999996, 3.8499999999999996, 3.8499999999999996, 3.8499999999999996, 3.8499999999999996, 3.8499999999999996, 3.8499999999999996, 3.8499999999999996, 3.8499999999999996, 3.8499999999999996, 3.8499999999999996, 3.8499999999999996, 3.8499999999999996, 3.8499999999999996, 3.8499999999999996, 3.8499999999999996, 3.8499999999999996, 3.8499999999999996, 3.8499999999999996, 3.8499999999999996, 3.8499999999999996], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.04686956521739131, 0.19082608695652203, 0.7164347826086965, 1.2320000000000002, 0.8570434782608696, 0.26447826086956594, 0.03347826086956522, 0.0066956521739130435, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]], \"filename\": \"toyplot\"}, {\"title\": \"Bar Data\", \"names\": [\"left\", \"right\", \"baseline\", \"magnitude0\", \"magnitude1\"], \"id\": \"td35ed8a0586e484a9f0617926be4d71d\", \"columns\": [[-0.1445, 0.1445, 0.4335, 0.7224999999999999, 1.0114999999999998, 1.3005, 1.5895, 1.8784999999999998, 2.1674999999999995, 2.4565, 2.7455, 3.0344999999999995, 3.3235, 3.6125, 3.9014999999999995, 4.1905, 4.4795, 4.7684999999999995, 5.057499999999999, 5.3465, 5.6354999999999995, 5.9245, 6.2135, 6.5024999999999995, 6.791499999999999, 7.0805, 7.3694999999999995, 7.658499999999999, 7.947499999999999, 8.2365], [0.1445, 0.4335, 0.7224999999999999, 1.0114999999999998, 1.3005, 1.5895, 1.8784999999999998, 2.1674999999999995, 2.4565, 2.7455, 3.0344999999999995, 3.3235, 3.6125, 3.9014999999999995, 4.1905, 4.4795, 4.7684999999999995, 5.057499999999999, 5.3465, 5.6354999999999995, 5.9245, 6.2135, 6.5024999999999995, 6.791499999999999, 7.0805, 7.3694999999999995, 7.658499999999999, 7.947499999999999, 8.2365, 8.525500000000001], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [2.3099999999999996, 2.3099999999999996, 2.3099999999999996, 2.3099999999999996, 2.3099999999999996, 2.3099999999999996, 2.3099999999999996, 2.3099999999999996, 2.3099999999999996, 2.3099999999999996, 2.3099999999999996, 2.3099999999999996, 2.3099999999999996, 2.3099999999999996, 2.3099999999999996, 2.3099999999999996, 2.3099999999999996, 2.3099999999999996, 2.3099999999999996, 2.3099999999999996, 2.3099999999999996, 2.3099999999999996, 2.3099999999999996, 2.3099999999999996, 2.3099999999999996, 2.3099999999999996, 2.3099999999999996, 2.3099999999999996, 2.3099999999999996, 2.3099999999999996], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.012900523560209426, 0.06450261780104731, 0.43539267015706823, 1.2320000000000002, 1.0900942408376997, 0.34831413612565454, 0.03547643979057593, 0.006450261780104713, 0.0, 0.0, 0.0]], \"filename\": \"toyplot\"}, {\"title\": \"Bar Data\", \"names\": [\"left\", \"right\", \"baseline\", \"magnitude0\", \"magnitude1\"], \"id\": \"t48164415f5d94bf89968f788ea93f4d3\", \"columns\": [[-0.1445, 0.1445, 0.4335, 0.7224999999999999, 1.0114999999999998, 1.3005, 1.5895, 1.8784999999999998, 2.1674999999999995, 2.4565, 2.7455, 3.0344999999999995, 3.3235, 3.6125, 3.9014999999999995, 4.1905, 4.4795, 4.7684999999999995, 5.057499999999999, 5.3465, 5.6354999999999995, 5.9245, 6.2135, 6.5024999999999995, 6.791499999999999, 7.0805, 7.3694999999999995, 7.658499999999999, 7.947499999999999, 8.2365], [0.1445, 0.4335, 0.7224999999999999, 1.0114999999999998, 1.3005, 1.5895, 1.8784999999999998, 2.1674999999999995, 2.4565, 2.7455, 3.0344999999999995, 3.3235, 3.6125, 3.9014999999999995, 4.1905, 4.4795, 4.7684999999999995, 5.057499999999999, 5.3465, 5.6354999999999995, 5.9245, 6.2135, 6.5024999999999995, 6.791499999999999, 7.0805, 7.3694999999999995, 7.658499999999999, 7.947499999999999, 8.2365, 8.525500000000001], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.77, 0.77, 0.77, 0.77, 0.77, 0.77, 0.77, 0.77, 0.77, 0.77, 0.77, 0.77, 0.77, 0.77, 0.77, 0.77, 0.77, 0.77, 0.77, 0.77, 0.77, 0.77, 0.77, 0.77, 0.77, 0.77, 0.77, 0.77, 0.77, 0.77], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.006450261780104731, 0.048376963350785354, 0.3902408376963351, 1.0449424083769665, 1.2320000000000002, 0.42894240837696346, 0.07095287958115186, 0.0032251308900523566, 0.0, 0.0]], \"filename\": \"toyplot\"}];\n",
       "\n",
       "          function save_csv(data_table)\n",
       "          {\n",
       "            var uri = \"data:text/csv;charset=utf-8,\";\n",
       "            uri += data_table.names.join(\",\") + \"\\n\";\n",
       "            for(var i = 0; i != data_table.columns[0].length; ++i)\n",
       "            {\n",
       "              for(var j = 0; j != data_table.columns.length; ++j)\n",
       "              {\n",
       "                if(j)\n",
       "                  uri += \",\";\n",
       "                uri += data_table.columns[j][i];\n",
       "              }\n",
       "              uri += \"\\n\";\n",
       "            }\n",
       "            uri = encodeURI(uri);\n",
       "\n",
       "            var link = document.createElement(\"a\");\n",
       "            if(typeof link.download != \"undefined\")\n",
       "            {\n",
       "              link.href = uri;\n",
       "              link.style = \"visibility:hidden\";\n",
       "              link.download = data_table.filename + \".csv\";\n",
       "\n",
       "              document.body.appendChild(link);\n",
       "              link.click();\n",
       "              document.body.removeChild(link);\n",
       "            }\n",
       "            else\n",
       "            {\n",
       "              window.open(uri);\n",
       "            }\n",
       "          }\n",
       "\n",
       "          function open_popup(data_table)\n",
       "          {\n",
       "            return function(e)\n",
       "            {\n",
       "              var popup = document.querySelector(\"#t800cfcb76e27426d87132ac4dcf081a7 .toyplot-mark-popup\");\n",
       "              popup.querySelector(\".toyplot-mark-popup-title\").innerHTML = data_table.title;\n",
       "              popup.querySelector(\".toyplot-mark-popup-save-csv\").onclick = function() { popup.style.visibility = \"hidden\"; save_csv(data_table); }\n",
       "              popup.style.left = (e.clientX - 50) + \"px\";\n",
       "              popup.style.top = (e.clientY - 20) + \"px\";\n",
       "              popup.style.visibility = \"visible\";\n",
       "              e.stopPropagation();\n",
       "              e.preventDefault();\n",
       "            }\n",
       "\n",
       "          }\n",
       "\n",
       "          for(var i = 0; i != data_tables.length; ++i)\n",
       "          {\n",
       "            var data_table = data_tables[i];\n",
       "            var event_target = document.querySelector(\"#\" + data_table.id);\n",
       "            event_target.oncontextmenu = open_popup(data_table);\n",
       "          }\n",
       "        })();\n",
       "        </script></div></div>"
      ],
      "text/plain": [
       "<toyplot.canvas.Canvas at 0x7f13eef90f90>"
      ]
     },
     "execution_count": 145,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## load into baba\n",
    "tre = baba.Tree(newick)\n",
    "canvas, axes = tre.draw(\n",
    "                    taxdicts=test3, \n",
    "                    bootsarr=b,\n",
    "                    height=600,\n",
    "                    width=1000,\n",
    "                    show_tips=True,\n",
    "                    cex=\"12px\",\n",
    "                    pct_tree_x=0.3,\n",
    "                    pct_tree_y=0.3,\n",
    "                    #collapse_outgroup=1,\n",
    "                    test_labels=True,\n",
    "                    )\n",
    "\n",
    "toyplot.pdf.render(canvas, \"H3_pop-tri.pdf\")\n",
    "canvas"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Test 4"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 147,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "test4 = [\n",
    "    ## perforata x colubrinae\n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": clades[\"perforata\"],\n",
    "    \"p2\": clades[\"colubrinae\"],\n",
    "    \"p1\": clades[\"trigonata\"],\n",
    "    },\n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": clades[\"perforata\"],\n",
    "    \"p2\": clades[\"colubrinae\"],\n",
    "    \"p1\": clades[\"costaricana\"],\n",
    "    },\n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": clades[\"perforata\"],\n",
    "    \"p2\": clades[\"colubrinae\"],\n",
    "    \"p1\": clades[\"dugandii\"],\n",
    "    },\n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": clades[\"perforata\"],\n",
    "    \"p2\": clades[\"colubrinae\"],\n",
    "    \"p1\": clades[\"triangle\"],\n",
    "    },\n",
    "    ###\n",
    "    \n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": clades[\"colubrinae\"],\n",
    "    \"p2\": clades[\"perforata\"],\n",
    "    \"p1\": clades[\"pertusa\"],\n",
    "    },\n",
    "    \n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 148,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  [####################] 100%  calculating D-stats  | 0:00:39 |  \n",
      "\n"
     ]
    }
   ],
   "source": [
    "r, b = baba.batch(locfile, test4, ipyclient=ipyclient)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 150,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      dstat  bootmean   bootstd         ABBA         BABA         Z\n",
      "0  0.104676  0.104415  0.017788  1732.456297  1404.129717  5.869779\n",
      "1  0.072344  0.071328  0.019457  1419.822668  1228.251508  3.665941\n",
      "2  0.129217  0.129409  0.018954  1563.029168  1205.313589  6.827606\n",
      "3  0.056378  0.056106  0.018343  1556.443207  1390.310623  3.058690\n",
      "4  0.054910  0.055076  0.019329  1518.189999  1360.140049  2.849427\n"
     ]
    }
   ],
   "source": [
    "print r"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 149,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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rPubvIqhBeiTSIneZ0tmVZwHKaqkTVAP2Qa8BHbcskQcfuF/77ydP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\nqoQ+3YU2Am7bukX27Elp6bELqgqZh+0m3frGKTf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N+s49y7SFBXqYwKtJgmDUsXMmHgtIe7Zmp04KADAOqSSl/+qmW4cl4LhHi8mXoPHrLP2HFkVOmS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\n8HvZliqjytkrdzea0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style=\"fill:rgb(89.8%,76.9%,58%);fill-opacity:1.0;opacity:1.0;stroke:rgb(89.8%,76.9%,58%);stroke-opacity:1.0\"><circle cx=\"286.68248549281373\" cy=\"359.49152542372889\" r=\"0.0\"></circle></g></g></g><g class=\"toyplot-mark-Text\" id=\"tfac9c3e830794235a217dbaa0b9ea4d1\" style=\"-toyplot-anchor-shift:0;alignment-baseline:middle;font-size:12px;font-weight:normal;stroke:none;text-anchor:middle\"><g class=\"toyplot-Series\"><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:middle\" transform=\"translate(129.66802599642708,405.62033898305089)\"><tspan style=\"dominant-baseline:inherit\">-0.2</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:middle\" transform=\"translate(168.92164087052373,405.62033898305089)\"><tspan style=\"dominant-baseline:inherit\">0.0</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:middle\" transform=\"translate(208.17525574462042,405.62033898305089)\"><tspan style=\"dominant-baseline:inherit\">0.2</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:middle\" transform=\"translate(235.88368977339451,405.62033898305089)\"><tspan style=\"dominant-baseline:inherit\">7.0</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:middle\" transform=\"translate(286.68248549281373,405.62033898305089)\"><tspan style=\"dominant-baseline:inherit\">0.0</tspan></text></g></g><g class=\"toyplot-mark-Text\" id=\"tdee70cd3dc2c49e4b4008af1b6c0c5d6\" style=\"-toyplot-anchor-shift:0;alignment-baseline:middle;font-size:12px;font-weight:normal;stroke:none;text-anchor:middle\"><g class=\"toyplot-Series\"><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:middle\" transform=\"translate(129.66802599642708,451.74915254237288)\"><tspan style=\"dominant-baseline:inherit\">BABA</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:middle\" transform=\"translate(208.17525574462042,451.74915254237288)\"><tspan style=\"dominant-baseline:inherit\">ABBA</tspan></text></g></g><g class=\"toyplot-mark-Text\" id=\"t47df744b907e4b71b7485b5a5a719ae8\" style=\"-toyplot-anchor-shift:0;alignment-baseline:middle;font-size:12px;font-weight:normal;stroke:none;text-anchor:middle\"><g class=\"toyplot-Series\"><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:middle\" transform=\"translate(168.92164087052373,105.7830508474577)\"><tspan style=\"dominant-baseline:inherit\">Bootstrap D-statistics</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:middle\" transform=\"translate(261.28308763310417,105.7830508474577)\"><tspan style=\"dominant-baseline:inherit\">Z-scores</tspan></text></g></g><g class=\"toyplot-mark-Text\" id=\"t1a0afeab428e4d17be7db7b014187977\" style=\"-toyplot-anchor-shift:0;alignment-baseline:middle;font-size:12px;font-weight:normal;stroke:none;text-anchor:start\"><g class=\"toyplot-Series\"><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(586.04223352917722,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A01_paraensis</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(576.98718972892414,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A02_paraensis</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(567.93214592867128,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A04_paraensis</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(558.87710212841819,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A05_paraensis</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(604.15232112968306,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A19_citrifolia</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(730.92293433322493,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A33_nymphaeifolia</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(721.86789053297196,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A41_nymphaeifolia</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(703.75780293246589,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A42_nymphaeifolia</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(368.72118232310572,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A48_trigonata</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(359.66613852285269,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A49_trigonata</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(386.83126992361161,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A55_triangle</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(477.38170792614136,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A59_dugandii</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(450.21657652538249,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A61_turbinata</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(540.76701452791224,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A65_pertusa</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(622.26240873018912,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A67_bullenei</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(613.20736492993615,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A70_bullenei</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(631.3174525304421,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A72_bullenei</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(432.10648892487654,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A77_colubrinae</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(504.54683932690034,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A82_perforata</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(495.49179552664737,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A83_perforata</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(522.65692692740629,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A84_perforata</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(531.71197072765938,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A85_perforata</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(413.99640132437054,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A87_costaricana</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(884.8586789375255,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A94_maxima</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(839.58345993626062,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A95_insipida</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(776.1981533344898,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A96_glabrata</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(749.03302193373077,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A97_glabrata</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(685.64771533195994,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">B102_obtusifolia</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(902.96876653803145,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">B119_maxima</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(912.02381033828442,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">B120_maxima</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(875.80363513727252,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">B123_maxima</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(794.30824093499575,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">B126_insipida</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(830.52841613600765,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">B127_insipida</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(821.47337233575468,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">B128_insipida</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(785.25319713474278,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">B130_glabrataXmaxima</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(767.14310953423683,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">B131_glabrataXmaxima</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(739.9779781334779,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">B133_glabrata</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(758.08806573398374,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">B134_glabrata</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(441.16153272512952,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C04_colubrinae</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(404.94135752411762,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C11_costaricana</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(459.27162032563547,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C12_dugandii</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(486.43675172639439,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C14_dugandii</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(812.4183285355017,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C15_insipida</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(893.91372273777847,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C17_maxima</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(921.07885413853739,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C18_maxima</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(712.81284673271898,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C19_nymphaeifolia</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(694.70275913221292,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C21_obtusifolia</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(676.59267153170708,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C22_obtusifolia</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(667.53762773145411,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C24_obtusifolia</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(640.37249633069507,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C25_popenoei</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(649.42754013094805,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C26_popenoei</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(658.48258393120102,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C27_popenoei</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(549.82205832816521,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C28_pertusa</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(377.77622612335864,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C30_triangle</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(395.88631372386465,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C31_triangle</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(350.61109472259972,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C36_trigonata</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(341.5560509223468,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C37_trigonata</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(314.39091952158782,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C39_trigonata</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(323.44596332184079,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C41_trigonata</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(332.50100712209377,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C43_trigonata</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(866.74859133701955,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C45_yoponensis</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(848.6385037365136,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C46_yoponensis</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(857.69354753676657,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C47_yoponensis</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(930.13389793879037,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C48_tonduzii</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(468.32666412588844,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C49_dugandii</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(803.36328473524861,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C50_insipida</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(513.60188312715331,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C51_perforata</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(595.09727732943009,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C53_citrifolia</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(423.05144512462357,382.55593220338983)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C5_colubrinae</tspan></text></g></g></g></g></svg><div class=\"toyplot-interactive\"><ul class=\"toyplot-mark-popup\" onmouseleave=\"this.style.visibility='hidden'\" style=\"background:rgba(0%,0%,0%,0.75);border:0;border-radius:6px;color:white;cursor:default;list-style:none;margin:0;padding:5px;position:fixed;visibility:hidden\">\n",
       "            <li class=\"toyplot-mark-popup-title\" style=\"color:lightgray;cursor:default;padding:5px;list-style:none;margin:0\"></li>\n",
       "            <li class=\"toyplot-mark-popup-save-csv\" onmouseout=\"this.style.color='white';this.style.background='steelblue'\" onmouseover=\"this.style.color='steelblue';this.style.background='white'\" style=\"border-radius:3px;padding:5px;list-style:none;margin:0\">\n",
       "                Save as .csv\n",
       "            </li>\n",
       "        </ul><script>\n",
       "        (function()\n",
       "        {\n",
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       "\n",
       "          function save_csv(data_table)\n",
       "          {\n",
       "            var uri = \"data:text/csv;charset=utf-8,\";\n",
       "            uri += data_table.names.join(\",\") + \"\\n\";\n",
       "            for(var i = 0; i != data_table.columns[0].length; ++i)\n",
       "            {\n",
       "              for(var j = 0; j != data_table.columns.length; ++j)\n",
       "              {\n",
       "                if(j)\n",
       "                  uri += \",\";\n",
       "                uri += data_table.columns[j][i];\n",
       "              }\n",
       "              uri += \"\\n\";\n",
       "            }\n",
       "            uri = encodeURI(uri);\n",
       "\n",
       "            var link = document.createElement(\"a\");\n",
       "            if(typeof link.download != \"undefined\")\n",
       "            {\n",
       "              link.href = uri;\n",
       "              link.style = \"visibility:hidden\";\n",
       "              link.download = data_table.filename + \".csv\";\n",
       "\n",
       "              document.body.appendChild(link);\n",
       "              link.click();\n",
       "              document.body.removeChild(link);\n",
       "            }\n",
       "            else\n",
       "            {\n",
       "              window.open(uri);\n",
       "            }\n",
       "          }\n",
       "\n",
       "          function open_popup(data_table)\n",
       "          {\n",
       "            return function(e)\n",
       "            {\n",
       "              var popup = document.querySelector(\"#t0c9da25970e0472bb2a8f7616f1d3791 .toyplot-mark-popup\");\n",
       "              popup.querySelector(\".toyplot-mark-popup-title\").innerHTML = data_table.title;\n",
       "              popup.querySelector(\".toyplot-mark-popup-save-csv\").onclick = function() { popup.style.visibility = \"hidden\"; save_csv(data_table); }\n",
       "              popup.style.left = (e.clientX - 50) + \"px\";\n",
       "              popup.style.top = (e.clientY - 20) + \"px\";\n",
       "              popup.style.visibility = \"visible\";\n",
       "              e.stopPropagation();\n",
       "              e.preventDefault();\n",
       "            }\n",
       "\n",
       "          }\n",
       "\n",
       "          for(var i = 0; i != data_tables.length; ++i)\n",
       "          {\n",
       "            var data_table = data_tables[i];\n",
       "            var event_target = document.querySelector(\"#\" + data_table.id);\n",
       "            event_target.oncontextmenu = open_popup(data_table);\n",
       "          }\n",
       "        })();\n",
       "        </script></div></div>"
      ],
      "text/plain": [
       "<toyplot.canvas.Canvas at 0x7f13ce310390>"
      ]
     },
     "execution_count": 149,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## load into baba\n",
    "tre = baba.Tree(newick)\n",
    "canvas, axes = tre.draw(\n",
    "                    taxdicts=test4, \n",
    "                    bootsarr=b,\n",
    "                    height=600,\n",
    "                    width=1000,\n",
    "                    show_tips=True,\n",
    "                    cex=\"12px\",\n",
    "                    pct_tree_x=0.3,\n",
    "                    pct_tree_y=0.3,\n",
    "                    #collapse_outgroup=1,\n",
    "                    test_labels=True,\n",
    "                    )\n",
    "\n",
    "toyplot.pdf.render(canvas, \"H4_perf-colub.pdf\")\n",
    "canvas"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Setup up tests within *Pharmacosyceae*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "### set up a list of tests as dictionaries, (e.g., [dict, dict, dict]). \n",
    "tests = [\n",
    "    \n",
    "    ## 1. tonduzii into maxim vs. all\n",
    "    {\n",
    "    \"p4\": urost1+urost2,\n",
    "    \"p3\": clades[\"tonduzii\"],\n",
    "    \"p2\": clades[\"maxima\"],\n",
    "    \"p1\": clades[\"yoponensis\"] + clades[\"insipida\"] + clades[\"glabrata\"],\n",
    "    },\n",
    "    \n",
    "    ## 2. tonduzii into maxim vs. each lower\n",
    "    {\n",
    "    \"p4\": urost1+urost2,\n",
    "    \"p3\": clades[\"tonduzii\"],\n",
    "    \"p2\": clades[\"maxima\"],\n",
    "    \"p1\": clades[\"yoponensis\"],\n",
    "    },\n",
    "    \n",
    "    ## 3. \"\"\n",
    "    {\n",
    "    \"p4\": urost1+urost2,\n",
    "    \"p3\": clades[\"tonduzii\"],\n",
    "    \"p2\": clades[\"maxima\"][:-1],\n",
    "    \"p1\": clades[\"yoponensis\"],\n",
    "    },\n",
    "    \n",
    "    ## 4. \"\" \n",
    "    {\n",
    "    \"p4\": urost1+urost2,\n",
    "    \"p3\": clades[\"tonduzii\"],\n",
    "    \"p2\": clades[\"maxima\"][-1:],\n",
    "    \"p1\": clades[\"yoponensis\"],\n",
    "    },\n",
    "    \n",
    "    ## 5. \n",
    "    {\n",
    "    \"p4\": urost1+urost2,\n",
    "    \"p3\": clades[\"tonduzii\"],\n",
    "    \"p2\": clades[\"maxima\"][-1:],\n",
    "    \"p1\": clades[\"insipida\"],\n",
    "    },\n",
    "    \n",
    "    ## 6. \n",
    "    {\n",
    "    \"p4\": urost1+urost2,\n",
    "    \"p3\": clades[\"tonduzii\"],\n",
    "    \"p2\": clades[\"maxima\"][-1:],\n",
    "    \"p1\": clades[\"glabrata\"],\n",
    "    },\n",
    "    \n",
    "    ## 7.\n",
    "    {\n",
    "    \"p4\": urost1+urost2,\n",
    "    \"p3\": clades[\"tonduzii\"],\n",
    "    \"p2\": clades[\"yoponensis\"],\n",
    "    \"p1\": clades[\"insipida\"],\n",
    "    },\n",
    "    \n",
    "    ## 8.\n",
    "    {\n",
    "    \"p4\": urost1+urost2,\n",
    "    \"p3\": clades[\"tonduzii\"],\n",
    "    \"p2\": clades[\"yoponensis\"],\n",
    "    \"p1\": clades[\"glabrata\"],\n",
    "    },\n",
    "    \n",
    "    ## 9.\n",
    "    {\n",
    "    \"p4\": urost1+urost2,\n",
    "    \"p3\": clades[\"tonduzii\"],\n",
    "    \"p2\": clades[\"insipida\"],\n",
    "    \"p1\": clades[\"glabrata\"],\n",
    "    },\n",
    "    \n",
    "    ## 10. maximas into all --------------------------\n",
    "    {\n",
    "    \"p4\": urost1+urost2,\n",
    "    \"p3\": clades[\"maxima\"][:-1],\n",
    "    \"p2\": clades[\"yoponensis\"],\n",
    "    \"p1\": clades[\"glabrata\"] + clades[\"insipida\"],\n",
    "    },   \n",
    "\n",
    "    ## 11. \n",
    "    {\n",
    "    \"p4\": urost1+urost2,\n",
    "    \"p3\": clades[\"maxima\"][:-1],\n",
    "    \"p2\": clades[\"yoponensis\"],\n",
    "    \"p1\": clades[\"insipida\"],\n",
    "    },   \n",
    "    \n",
    "    ## 12. \"\"\n",
    "    {\n",
    "    \"p4\": urost1+urost2,\n",
    "    \"p3\": clades[\"maxima\"][:-1],\n",
    "    \"p2\": clades[\"yoponensis\"],\n",
    "    \"p1\": clades[\"glabrata\"],\n",
    "    },   \n",
    "        \n",
    "    ## 13. \n",
    "    {\n",
    "    \"p4\": urost1+urost2,\n",
    "    \"p3\": clades[\"maxima\"][:-1],\n",
    "    \"p2\": clades[\"insipida\"],\n",
    "    \"p1\": clades[\"glabrata\"],\n",
    "    },  \n",
    "    \n",
    "    ## maxima B123 + yopo -------------------------\n",
    "    ## 14.\n",
    "    {\n",
    "    \"p4\": urost1+urost2,\n",
    "    \"p3\": clades[\"yoponensis\"] + clades[\"maxima\"][-1:],\n",
    "    \"p2\": clades[\"maxima\"][:1],\n",
    "    \"p1\": clades[\"maxima\"][1:3],\n",
    "    },\n",
    "    \n",
    "    ## 15. \"\"\n",
    "    {\n",
    "    \"p4\": urost1+urost2,\n",
    "    \"p3\": clades[\"yoponensis\"] + clades[\"maxima\"][-1:],\n",
    "    \"p2\": clades[\"maxima\"][1:3],\n",
    "    \"p1\": clades[\"maxima\"][3:-1],\n",
    "    },\n",
    "\n",
    "    ## 16. maxima B123 ----------------------------\n",
    "    {\n",
    "    \"p4\": urost1+urost2,\n",
    "    \"p3\": clades[\"maxima\"][-1:],\n",
    "    \"p2\": clades[\"maxima\"][:1],\n",
    "    \"p1\": clades[\"maxima\"][1:3],\n",
    "    },\n",
    "    \n",
    "    ## 17. \"\"\n",
    "    {\n",
    "    \"p4\": urost1+urost2,\n",
    "    \"p3\": clades[\"maxima\"][-1:],\n",
    "    \"p2\": clades[\"maxima\"][1:3],\n",
    "    \"p1\": clades[\"maxima\"][3:-1],\n",
    "    },\n",
    "    \n",
    "    ## 18. maxima into yopo vs. all other\n",
    "    {\n",
    "    \"p4\": urost1+urost2,\n",
    "    \"p3\": clades[\"maxima\"][-1:],\n",
    "    \"p2\": clades[\"yoponensis\"],\n",
    "    \"p1\": clades[\"glabrata\"] + clades[\"insipida\"],\n",
    "    },     \n",
    "    \n",
    "    ## 19. Yoponensis ---------------------------------\n",
    "    {\n",
    "    \"p4\": urost1+urost2,\n",
    "    \"p3\": clades[\"yoponensis\"],\n",
    "    \"p2\": clades[\"maxima\"][:1],\n",
    "    \"p1\": clades[\"maxima\"][1:3],\n",
    "    },\n",
    "    \n",
    "    ## 20. \"\"\n",
    "    {\n",
    "    \"p4\": urost1+urost2,\n",
    "    \"p3\": clades[\"yoponensis\"],\n",
    "    \"p2\": clades[\"maxima\"][:1],\n",
    "    \"p1\": clades[\"maxima\"][3:-1],\n",
    "    },\n",
    "    \n",
    "    ## 21. \"\"\n",
    "    {\n",
    "    \"p4\": urost1+urost2,\n",
    "    \"p3\": clades[\"yoponensis\"],\n",
    "    \"p2\": clades[\"maxima\"][1:3],\n",
    "    \"p1\": clades[\"maxima\"][3:-1],\n",
    "    },\n",
    "\n",
    "    ## 22. yopo into insipida v glabrata\n",
    "    {\n",
    "    \"p4\": urost1+urost2,\n",
    "    \"p3\": clades[\"yoponensis\"],\n",
    "    \"p2\": clades[\"insipida\"],\n",
    "    \"p1\": clades[\"glabrata\"],\n",
    "    },\n",
    "    \n",
    "    ## 23. \"\" w/ only 'purest' glabrata\n",
    "    {\n",
    "    \"p4\": urost1+urost2,\n",
    "    \"p3\": clades[\"yoponensis\"],\n",
    "    \"p2\": clades[\"insipida\"],\n",
    "    \"p1\": clades[\"glabrata\"][-3:],\n",
    "    },\n",
    "\n",
    "    ## 24. yoponensis into maxima\n",
    "    {\n",
    "    \"p4\": urost1+urost2,\n",
    "    \"p3\": clades[\"insipida\"],\n",
    "    \"p2\": clades[\"maxima\"][:1],\n",
    "    \"p1\": clades[\"maxima\"][1:3],\n",
    "    },\n",
    "    \n",
    "    ## 25.\n",
    "    {\n",
    "    \"p4\": urost1+urost2,\n",
    "    \"p3\": clades[\"insipida\"],\n",
    "    \"p2\": clades[\"maxima\"][:1],\n",
    "    \"p1\": clades[\"maxima\"][3:-1],\n",
    "    },\n",
    "\n",
    "    ## 26. \"\"\n",
    "    {\n",
    "    \"p4\": urost1+urost2,\n",
    "    \"p3\": clades[\"insipida\"],\n",
    "    \"p2\": clades[\"maxima\"][1:3],\n",
    "    \"p1\": clades[\"maxima\"][3:-1],\n",
    "    },\n",
    "    \n",
    "    ## 27. insipida into yopo \n",
    "    {\n",
    "    \"p4\": urost1+urost2,\n",
    "    \"p3\": clades[\"insipida\"],\n",
    "    \"p2\": clades[\"yoponensis\"][:1],\n",
    "    \"p1\": clades[\"yoponensis\"][1:],\n",
    "    },\n",
    "    \n",
    "    ## 28. insipida into glabrata\n",
    "    {\n",
    "    \"p4\": urost1+urost2,\n",
    "    \"p3\": clades[\"insipida\"],\n",
    "    \"p2\": clades[\"glabrata\"][-2:-1],\n",
    "    \"p1\": clades[\"glabrata\"][-1:],\n",
    "    },\n",
    "    \n",
    "    ## 29. \"\"\n",
    "    {\n",
    "    \"p4\": urost1+urost2,\n",
    "    \"p3\": clades[\"insipida\"],\n",
    "    \"p2\": clades[\"glabrata\"][-3:-2],\n",
    "    \"p1\": clades[\"glabrata\"][-2:],\n",
    "    },\n",
    "    \n",
    "    ## 30. \"\"\n",
    "    {\n",
    "    \"p4\": urost1+urost2,\n",
    "    \"p3\": clades[\"insipida\"],\n",
    "    \"p2\": clades[\"glabrata\"][-4:-3],\n",
    "    \"p1\": clades[\"glabrata\"][-3:],\n",
    "    },\n",
    "    \n",
    "    ## 31. \"\"\n",
    "    {\n",
    "    \"p4\": urost1+urost2,\n",
    "    \"p3\": clades[\"insipida\"],\n",
    "    \"p2\": clades[\"glabrata\"][-5:-4],\n",
    "    \"p1\": clades[\"glabrata\"][-4:],\n",
    "    },\n",
    "    \n",
    "    ## 32. \"\"\n",
    "    {\n",
    "    \"p4\": urost1+urost2,\n",
    "    \"p3\": clades[\"insipida\"],\n",
    "    \"p2\": clades[\"glabrata\"][-6:-5],\n",
    "    \"p1\": clades[\"glabrata\"][-5:],\n",
    "    },\n",
    "    \n",
    "    ## 33. \"\"\n",
    "    {\n",
    "    \"p4\": urost1+urost2,\n",
    "    \"p3\": clades[\"insipida\"],\n",
    "    \"p2\": clades[\"glabrata\"][-6:-5],\n",
    "    \"p1\": clades[\"glabrata\"][-2:],\n",
    "    },\n",
    "\n",
    "    ## 34. glabrata into anyone -------------------\n",
    "    {\n",
    "    \"p4\": urost1+urost2,\n",
    "    \"p3\": clades[\"glabrata\"],\n",
    "    \"p2\": clades[\"insipida\"][:1],\n",
    "    \"p1\": clades[\"insipida\"][1:],\n",
    "    },  \n",
    "\n",
    "    ## 35.\n",
    "    {\n",
    "    \"p4\": urost1+urost2,\n",
    "    \"p3\": clades[\"glabrata\"],\n",
    "    \"p2\": clades[\"yoponensis\"][:1],\n",
    "    \"p1\": clades[\"yoponensis\"][1:],\n",
    "    },  \n",
    "    \n",
    "    ## 36.\n",
    "    {\n",
    "    \"p4\": urost1+urost2,\n",
    "    \"p3\": clades[\"glabrata\"],\n",
    "    \"p2\": clades[\"maxima\"][:1],\n",
    "    \"p1\": clades[\"maxima\"][1:-1],\n",
    "    },  \n",
    "    \n",
    "    ## 37.\n",
    "    {\n",
    "    \"p4\": urost1+urost2,\n",
    "    \"p3\": clades[\"glabrata\"],\n",
    "    \"p2\": clades[\"maxima\"][:1],\n",
    "    \"p1\": clades[\"maxima\"][1:-1],\n",
    "    },  \n",
    "    \n",
    "    ## 38.\n",
    "    {\n",
    "    \"p4\": urost1+urost2,\n",
    "    \"p3\": clades[\"glabrata\"][:1],\n",
    "    \"p2\": clades[\"maxima\"][:1],\n",
    "    \"p1\": clades[\"maxima\"][1:3],\n",
    "    },\n",
    "    \n",
    "    ## 39. \"\"\n",
    "    {\n",
    "    \"p4\": urost1+urost2,\n",
    "    \"p3\": clades[\"glabrata\"][:1],\n",
    "    \"p2\": clades[\"maxima\"][:1],\n",
    "    \"p1\": clades[\"maxima\"][-3:-1]\n",
    "    },\n",
    "    \n",
    "    ## 40. \"\"\n",
    "    {\n",
    "    \"p4\": urost1+urost2,\n",
    "    \"p3\": clades[\"glabrata\"][:1],\n",
    "    \"p2\": clades[\"maxima\"][1:3],\n",
    "    \"p1\": clades[\"maxima\"][-3:-1]\n",
    "    },\n",
    " \n",
    "    ## 41.\n",
    "    {\n",
    "    \"p4\": urost1+urost2,\n",
    "    \"p3\": clades[\"glabrata\"][1:2],\n",
    "    \"p2\": clades[\"maxima\"][:1],\n",
    "    \"p1\": clades[\"maxima\"][1:3],\n",
    "    },\n",
    "    \n",
    "    ## 42. \"\"\n",
    "    {\n",
    "    \"p4\": urost1+urost2,\n",
    "    \"p3\": clades[\"glabrata\"][1:2],\n",
    "    \"p2\": clades[\"maxima\"][:1],\n",
    "    \"p1\": clades[\"maxima\"][-3:-1]\n",
    "    },\n",
    "    \n",
    "    ## 43. \"\"\n",
    "    {\n",
    "    \"p4\": urost1+urost2,\n",
    "    \"p3\": clades[\"glabrata\"][1:2],\n",
    "    \"p2\": clades[\"maxima\"][1:3],\n",
    "    \"p1\": clades[\"maxima\"][-3:-1]\n",
    "    },\n",
    " \n",
    "    ## 44.\n",
    "    {\n",
    "    \"p4\": urost1+urost2,\n",
    "    \"p3\": clades[\"glabrata\"][-1:],\n",
    "    \"p2\": clades[\"maxima\"][:1],\n",
    "    \"p1\": clades[\"maxima\"][1:3],\n",
    "    },\n",
    "    \n",
    "    ## 45. \"\"\n",
    "    {\n",
    "    \"p4\": urost1+urost2,\n",
    "    \"p3\": clades[\"glabrata\"][-1:],\n",
    "    \"p2\": clades[\"maxima\"][:1],\n",
    "    \"p1\": clades[\"maxima\"][-3:-1]\n",
    "    },\n",
    "    \n",
    "    ## 46. \"\"\n",
    "    {\n",
    "    \"p4\": urost1+urost2,\n",
    "    \"p3\": clades[\"glabrata\"][-1:],\n",
    "    \"p2\": clades[\"maxima\"][1:3],\n",
    "    \"p1\": clades[\"maxima\"][-3:-1]\n",
    "    },\n",
    "]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "### Run tests within *Pharmacosyceae*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  [####################] 100%  calculating D-stats  | 0:01:40 |  \n"
     ]
    }
   ],
   "source": [
    "res, boots = baba.batch(locfile, tests, 1, 1000, ipyclient)\n",
    "\n",
    "## save boots array for later\n",
    "np.savetxt(\"test1.npy\", boots)\n",
    "#boots = np.loadtxt(\"test.npy\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Plot results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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Y8uiIYehUttWnUhFFEfNEEX5/YDp/wx+AP+A3JHerqoK2u+7U38fnE7D/0ccc7/3QDA70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hZdB1JdXZ01fWu5ZqZiGY3GnAXnlmVpwrKyrpczRkDgKzPFiERBAv+p+2bI6xQWVX/3YqsofC68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\nrl3v/gPM5peF7O+rKCd+RVExfPxEUfMVRb9vYeJk/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style=\"fill:rgb(40%,76.1%,64.7%);fill-opacity:1.0;opacity:1.0;stroke:rgb(40%,76.1%,64.7%);stroke-opacity:1.0\"><circle cx=\"334.50466018619335\" cy=\"832.06479417984769\" r=\"0.0\"></circle></g></g></g><g class=\"toyplot-mark-Text\" id=\"td8d2d2937c084efe8ac16e9b2aacc0f7\" style=\"-toyplot-anchor-shift:0;alignment-baseline:middle;font-size:12px;font-weight:normal;stroke:none;text-anchor:middle\"><g class=\"toyplot-Series\"><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:middle\" transform=\"translate(98.72679544432475,847.26823580510552)\"><tspan style=\"dominant-baseline:inherit\">-0.6</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:middle\" transform=\"translate(157.6712616297919,847.26823580510552)\"><tspan style=\"dominant-baseline:inherit\">0.0</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:middle\" transform=\"translate(216.61572781525905,847.26823580510552)\"><tspan style=\"dominant-baseline:inherit\">0.6</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:middle\" transform=\"translate(258.22358629911821,847.26823580510552)\"><tspan style=\"dominant-baseline:inherit\">28.0</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:middle\" transform=\"translate(334.50466018619335,847.26823580510552)\"><tspan style=\"dominant-baseline:inherit\">0.0</tspan></text></g></g><g class=\"toyplot-mark-Text\" id=\"t46288f6bdc164e52b0ada525ecccfe39\" style=\"-toyplot-anchor-shift:0;alignment-baseline:middle;font-size:12px;font-weight:normal;stroke:none;text-anchor:middle\"><g class=\"toyplot-Series\"><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:middle\" transform=\"translate(98.72679544432475,862.47167743036346)\"><tspan style=\"dominant-baseline:inherit\">BABA</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:middle\" transform=\"translate(216.61572781525905,862.47167743036346)\"><tspan style=\"dominant-baseline:inherit\">ABBA</tspan></text></g></g><g class=\"toyplot-mark-Text\" id=\"t2dba14e59b2146c0a4245b08c725f61e\" style=\"-toyplot-anchor-shift:0;alignment-baseline:middle;font-size:12px;font-weight:normal;stroke:none;text-anchor:middle\"><g class=\"toyplot-Series\"><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:middle\" transform=\"translate(157.6712616297919,125.10475860535588)\"><tspan style=\"dominant-baseline:inherit\">Bootstrap D-statistics</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:middle\" transform=\"translate(296.36412324265581,125.10475860535588)\"><tspan style=\"dominant-baseline:inherit\">Z-scores</tspan></text></g></g><g class=\"toyplot-mark-Text\" id=\"te2ac2963178e4425b4defb653dda2375\" style=\"-toyplot-anchor-shift:0;alignment-baseline:middle;font-size:12px;font-weight:normal;stroke:none;text-anchor:start\"><g class=\"toyplot-Series\"><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(628.2813579661688,839.66651499247655)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A94_maxima</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(549.47859568613239,839.66651499247655)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A95_insipida</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(439.15472849408155,839.66651499247655)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A96_glabrata</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(391.87307112605981,839.66651499247655)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A97_glabrata</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(659.80246287818318,839.66651499247655)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">B119_maxima</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(675.56301533419048,839.66651499247655)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">B120_maxima</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(612.52080551016149,839.66651499247655)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">B123_maxima</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(470.67583340609605,839.66651499247655)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">B126_insipida</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" 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transform=\"translate(423.39417603807431,839.66651499247655)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">B131_glabrataXmaxima</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(376.11251867005251,839.66651499247655)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">B133_glabrata</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(407.63362358206706,839.66651499247655)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">B134_glabrata</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(502.1969383181106,839.66651499247655)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C15_insipida</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(644.0419104221761,839.66651499247655)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C17_maxima</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(691.32356779019779,839.66651499247655)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C18_maxima</tspan></text><text class=\"toyplot-Datum\" 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       "\n",
       "          function save_csv(data_table)\n",
       "          {\n",
       "            var uri = \"data:text/csv;charset=utf-8,\";\n",
       "            uri += data_table.names.join(\",\") + \"\\n\";\n",
       "            for(var i = 0; i != data_table.columns[0].length; ++i)\n",
       "            {\n",
       "              for(var j = 0; j != data_table.columns.length; ++j)\n",
       "              {\n",
       "                if(j)\n",
       "                  uri += \",\";\n",
       "                uri += data_table.columns[j][i];\n",
       "              }\n",
       "              uri += \"\\n\";\n",
       "            }\n",
       "            uri = encodeURI(uri);\n",
       "\n",
       "            var link = document.createElement(\"a\");\n",
       "            if(typeof link.download != \"undefined\")\n",
       "            {\n",
       "              link.href = uri;\n",
       "              link.style = \"visibility:hidden\";\n",
       "              link.download = data_table.filename + \".csv\";\n",
       "\n",
       "              document.body.appendChild(link);\n",
       "              link.click();\n",
       "              document.body.removeChild(link);\n",
       "            }\n",
       "            else\n",
       "            {\n",
       "              window.open(uri);\n",
       "            }\n",
       "          }\n",
       "\n",
       "          function open_popup(data_table)\n",
       "          {\n",
       "            return function(e)\n",
       "            {\n",
       "              var popup = document.querySelector(\"#tc74bd7fe966f4f2498f4b30ea6d1f940 .toyplot-mark-popup\");\n",
       "              popup.querySelector(\".toyplot-mark-popup-title\").innerHTML = data_table.title;\n",
       "              popup.querySelector(\".toyplot-mark-popup-save-csv\").onclick = function() { popup.style.visibility = \"hidden\"; save_csv(data_table); }\n",
       "              popup.style.left = (e.clientX - 50) + \"px\";\n",
       "              popup.style.top = (e.clientY - 20) + \"px\";\n",
       "              popup.style.visibility = \"visible\";\n",
       "              e.stopPropagation();\n",
       "              e.preventDefault();\n",
       "            }\n",
       "\n",
       "          }\n",
       "\n",
       "          for(var i = 0; i != data_tables.length; ++i)\n",
       "          {\n",
       "            var data_table = data_tables[i];\n",
       "            var event_target = document.querySelector(\"#\" + data_table.id);\n",
       "            event_target.oncontextmenu = open_popup(data_table);\n",
       "          }\n",
       "        })();\n",
       "        </script></div></div>"
      ],
      "text/plain": [
       "<toyplot.canvas.Canvas at 0x7ff747b57c90>"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## load into baba\n",
    "tre = baba.Tree(newick)\n",
    "canvas, axes = tre.draw(\n",
    "                    taxdicts=tests, \n",
    "                    bootsarr=boots,\n",
    "                    height=1100,\n",
    "                    width=800,\n",
    "                    show_tips=True,\n",
    "                    cex=\"12px\",\n",
    "                    pct_tree_x=0.8,\n",
    "                    pct_tree_y=0.1,\n",
    "                    collapse_outgroup=1,\n",
    "                    test_labels=True,\n",
    "                    )\n",
    "\n",
    "## save to pdf\n",
    "toyplot.pdf.render(canvas, \"ficus-pharm-dstat.pdf\")\n",
    "canvas"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Interpretation: \n",
    "\n",
    "+ `[1-9]` *F. tonduzii* is admixed w/ *maxima* relative to (*yoponensis, insipida, glabrata) [1-3], and the same is true for *maxima* B123 `[4-6]`, suggesting that B123 shares alleles with other maximas. *F. tonduzii* does not appear admixed with *yoponensis, insipida*, or *glabrata* `[7-9]`.   \n",
    "\n",
    "+ `[10-13]` *F. maxima* is admixed with *glabrata*, *insipida*, or their ancestor relative to *yoponensis* `[10-12]`. Seems most likely it is admixed with *glabrata* `[12-13]`. \n",
    "\n",
    "+ `[14-21]` *F. yoponensis* + *maxima*-B123 shows a similar pattern of admixture with the *maxima* clade as *maxima*-B123 does alone `[14-17]`. When we look at *yoponensis* alone it still appears admixed with *maxima* `[20]`, but this requires further testing (5-taxon tests). \n",
    "\n",
    "+ `[22-23]` *F. yoponensis* appears admixed with *insipida* relative to *glabrata*, but I suspect this is a consequence of other events. Requires further testing with 5-taxon tests. \n",
    "\n",
    "+ `[24-33]` *F. insipida* may be admixed with *maxima* `[24-25]`, but not recently `[26]`, and not with *insipida* `[27]`.\n",
    "\n",
    "+ `[28-33]` *F. insipida* appears admixed with *glabrata*, but only when comparisons include B127 and A96, which are likely hybrids `[31-33]`.\n",
    "\n",
    "+ `[34-36]` *F. glabrata* hybrids show clear admixture with *maxima*, strongest with B120 and B119. \n",
    "\n",
    "+ `[37]` *F. glabrata* does not appear admixed with *insipida*. \n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## II. Is there gene flow between the two Americana clades?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "### set up a list of tests as dictionaries, (e.g., [dict, dict, dict]). \n",
    "tests = [\n",
    "\n",
    "    ## 1. uro 2 into 1\n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": urost2,\n",
    "    \"p2\": clades[\"obtusifolia\"] + clades[\"nymphaeifolia\"],\n",
    "    \"p1\": clades[\"citrifolia\"] + clades[\"paraensis\"] + \\\n",
    "          clades[\"bullenei\"] + clades[\"popenoei\"],\n",
    "    },\n",
    "    \n",
    "    ## 2. \"\"\n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": urost2,\n",
    "    \"p2\": clades[\"obtusifolia\"] + clades[\"nymphaeifolia\"],\n",
    "    \"p1\": clades[\"citrifolia\"] + clades[\"paraensis\"],\n",
    "    },\n",
    "    \n",
    "    ## 3. \"\"\n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": urost2,\n",
    "    \"p2\": clades[\"obtusifolia\"],\n",
    "    \"p1\": clades[\"citrifolia\"] + clades[\"paraensis\"],\n",
    "    },\n",
    "    \n",
    "    ## 4. \"\"\n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": urost2,\n",
    "    \"p2\": clades[\"nymphaeifolia\"],\n",
    "    \"p1\": clades[\"citrifolia\"] + clades[\"paraensis\"],\n",
    "    },\n",
    "    \n",
    "    ## 2. \"\"\n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": urost2,\n",
    "    \"p2\": clades[\"obtusifolia\"] + clades[\"nymphaeifolia\"],\n",
    "    \"p1\": clades[\"bullenei\"] + clades[\"popenoei\"],\n",
    "    },\n",
    "    \n",
    "    ## 3. \"\"\n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": urost2,\n",
    "    \"p2\": clades[\"obtusifolia\"],\n",
    "    \"p1\": clades[\"bullenei\"] + clades[\"popenoei\"],\n",
    "    },\n",
    "    \n",
    "    ## 4. \"\"\n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": urost2,\n",
    "    \"p2\": clades[\"nymphaeifolia\"],\n",
    "    \"p1\": clades[\"bullenei\"] + clades[\"popenoei\"],\n",
    "    },    \n",
    "    \n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": urost2,\n",
    "    \"p2\": clades[\"bullenei\"] + clades[\"popenoei\"],\n",
    "    \"p1\": clades[\"citrifolia\"] + clades[\"paraensis\"],\n",
    "    }, \n",
    "    \n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": urost2,\n",
    "    \"p2\": clades[\"citrifolia\"],\n",
    "    \"p1\": clades[\"paraensis\"],\n",
    "    }, \n",
    "    \n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": urost2,\n",
    "    \"p2\": clades[\"popenoei\"],\n",
    "    \"p1\": clades[\"bullenei\"],\n",
    "    }, \n",
    "    \n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": urost2,\n",
    "    \"p2\": clades[\"nymphaeifolia\"],\n",
    "    \"p1\": clades[\"obtusifolia\"],\n",
    "    }, \n",
    "    \n",
    "    ########################################\n",
    "    ## 1. uro 2 into 1\n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": clades[\"pertusa\"] + clades[\"perforata\"],\n",
    "    \"p2\": clades[\"obtusifolia\"] + clades[\"nymphaeifolia\"],\n",
    "    \"p1\": clades[\"citrifolia\"] + clades[\"paraensis\"] + \\\n",
    "          clades[\"bullenei\"] + clades[\"popenoei\"],\n",
    "    },\n",
    "    \n",
    "    ## 2. \"\"\n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": clades[\"pertusa\"] + clades[\"perforata\"],\n",
    "    \"p2\": clades[\"obtusifolia\"] + clades[\"nymphaeifolia\"],\n",
    "    \"p1\": clades[\"citrifolia\"] + clades[\"paraensis\"],\n",
    "    },\n",
    "    \n",
    "    ## 3. \"\"\n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": clades[\"pertusa\"] + clades[\"perforata\"],\n",
    "    \"p2\": clades[\"obtusifolia\"],\n",
    "    \"p1\": clades[\"citrifolia\"] + clades[\"paraensis\"],\n",
    "    },\n",
    "    \n",
    "    ## 4. \"\"\n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": clades[\"pertusa\"] + clades[\"perforata\"],\n",
    "    \"p2\": clades[\"nymphaeifolia\"],\n",
    "    \"p1\": clades[\"citrifolia\"] + clades[\"paraensis\"],\n",
    "    },\n",
    "    \n",
    "    ## 2. \"\"\n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": clades[\"pertusa\"] + clades[\"perforata\"],\n",
    "    \"p2\": clades[\"obtusifolia\"] + clades[\"nymphaeifolia\"],\n",
    "    \"p1\": clades[\"bullenei\"] + clades[\"popenoei\"],\n",
    "    },\n",
    "    \n",
    "    ## 3. \"\"\n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": clades[\"pertusa\"] + clades[\"perforata\"],\n",
    "    \"p2\": clades[\"obtusifolia\"],\n",
    "    \"p1\": clades[\"bullenei\"] + clades[\"popenoei\"],\n",
    "    },\n",
    "    \n",
    "    ## 4. \"\"\n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": clades[\"pertusa\"] + clades[\"perforata\"],\n",
    "    \"p2\": clades[\"nymphaeifolia\"],\n",
    "    \"p1\": clades[\"bullenei\"] + clades[\"popenoei\"],\n",
    "    },    \n",
    "    \n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": clades[\"pertusa\"] + clades[\"perforata\"],\n",
    "    \"p2\": clades[\"bullenei\"] + clades[\"popenoei\"],\n",
    "    \"p1\": clades[\"citrifolia\"] + clades[\"paraensis\"],\n",
    "    }, \n",
    "    \n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": clades[\"pertusa\"] + clades[\"perforata\"],\n",
    "    \"p2\": clades[\"citrifolia\"],\n",
    "    \"p1\": clades[\"paraensis\"],\n",
    "    }, \n",
    "    \n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": clades[\"pertusa\"] + clades[\"perforata\"],\n",
    "    \"p2\": clades[\"popenoei\"],\n",
    "    \"p1\": clades[\"bullenei\"],\n",
    "    }, \n",
    "    \n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": clades[\"pertusa\"] + clades[\"perforata\"],\n",
    "    \"p2\": clades[\"nymphaeifolia\"],\n",
    "    \"p1\": clades[\"obtusifolia\"],\n",
    "    }, \n",
    "    \n",
    "    ###############################################\n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": clades[\"turbinata\"] + clades[\"colubrinae\"] + clades[\"dugandii\"],\n",
    "    \"p2\": clades[\"obtusifolia\"] + clades[\"nymphaeifolia\"],\n",
    "    \"p1\": clades[\"citrifolia\"] + clades[\"paraensis\"] + \\\n",
    "          clades[\"bullenei\"] + clades[\"popenoei\"],\n",
    "    },\n",
    "    \n",
    "    ## 2. \"\"\n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": clades[\"turbinata\"] + clades[\"colubrinae\"] + clades[\"dugandii\"],\n",
    "    \"p2\": clades[\"obtusifolia\"] + clades[\"nymphaeifolia\"],\n",
    "    \"p1\": clades[\"citrifolia\"] + clades[\"paraensis\"],\n",
    "    },\n",
    "    \n",
    "    ## 3. \"\"\n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": clades[\"turbinata\"] + clades[\"colubrinae\"] + clades[\"dugandii\"],\n",
    "    \"p2\": clades[\"obtusifolia\"],\n",
    "    \"p1\": clades[\"citrifolia\"] + clades[\"paraensis\"],\n",
    "    },\n",
    "    \n",
    "    ## 4. \"\"\n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": clades[\"turbinata\"] + clades[\"colubrinae\"] + clades[\"dugandii\"],\n",
    "    \"p2\": clades[\"nymphaeifolia\"],\n",
    "    \"p1\": clades[\"citrifolia\"] + clades[\"paraensis\"],\n",
    "    },\n",
    "    \n",
    "    ## 2. \"\"\n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": clades[\"turbinata\"] + clades[\"colubrinae\"] + clades[\"dugandii\"],\n",
    "    \"p2\": clades[\"obtusifolia\"] + clades[\"nymphaeifolia\"],\n",
    "    \"p1\": clades[\"bullenei\"] + clades[\"popenoei\"],\n",
    "    },\n",
    "    \n",
    "    ## 3. \"\"\n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": clades[\"turbinata\"] + clades[\"colubrinae\"] + clades[\"dugandii\"],\n",
    "    \"p2\": clades[\"obtusifolia\"],\n",
    "    \"p1\": clades[\"bullenei\"] + clades[\"popenoei\"],\n",
    "    },\n",
    "    \n",
    "    ## 4. \"\"\n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": clades[\"turbinata\"] + clades[\"colubrinae\"] + clades[\"dugandii\"],\n",
    "    \"p2\": clades[\"nymphaeifolia\"],\n",
    "    \"p1\": clades[\"bullenei\"] + clades[\"popenoei\"],\n",
    "    },    \n",
    "    \n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": clades[\"turbinata\"] + clades[\"colubrinae\"] + clades[\"dugandii\"],\n",
    "    \"p2\": clades[\"bullenei\"] + clades[\"popenoei\"],\n",
    "    \"p1\": clades[\"citrifolia\"] + clades[\"paraensis\"],\n",
    "    }, \n",
    "    \n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": clades[\"turbinata\"] + clades[\"colubrinae\"] + clades[\"dugandii\"],\n",
    "    \"p2\": clades[\"citrifolia\"],\n",
    "    \"p1\": clades[\"paraensis\"],\n",
    "    }, \n",
    "    \n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": clades[\"turbinata\"] + clades[\"colubrinae\"] + clades[\"dugandii\"],\n",
    "    \"p2\": clades[\"popenoei\"],\n",
    "    \"p1\": clades[\"bullenei\"],\n",
    "    }, \n",
    "    \n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": clades[\"turbinata\"] + clades[\"colubrinae\"] + clades[\"dugandii\"],\n",
    "    \"p2\": clades[\"nymphaeifolia\"],\n",
    "    \"p1\": clades[\"obtusifolia\"],\n",
    "    }, \n",
    "    ####################################################\n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": clades[\"costaricana\"] + clades[\"triangle\"] + clades[\"trigonata\"],\n",
    "    \"p2\": clades[\"obtusifolia\"] + clades[\"nymphaeifolia\"],\n",
    "    \"p1\": clades[\"citrifolia\"] + clades[\"paraensis\"] + \\\n",
    "          clades[\"bullenei\"] + clades[\"popenoei\"],\n",
    "    },\n",
    "    \n",
    "    ## 2. \"\"\n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": clades[\"costaricana\"] + clades[\"triangle\"] + clades[\"trigonata\"],\n",
    "    \"p2\": clades[\"obtusifolia\"] + clades[\"nymphaeifolia\"],\n",
    "    \"p1\": clades[\"citrifolia\"] + clades[\"paraensis\"],\n",
    "    },\n",
    "    \n",
    "    ## 3. \"\"\n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": clades[\"costaricana\"] + clades[\"triangle\"] + clades[\"trigonata\"],\n",
    "    \"p2\": clades[\"obtusifolia\"],\n",
    "    \"p1\": clades[\"citrifolia\"] + clades[\"paraensis\"],\n",
    "    },\n",
    "    \n",
    "    ## 4. \"\"\n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": clades[\"costaricana\"] + clades[\"triangle\"] + clades[\"trigonata\"],\n",
    "    \"p2\": clades[\"nymphaeifolia\"],\n",
    "    \"p1\": clades[\"citrifolia\"] + clades[\"paraensis\"],\n",
    "    },\n",
    "    \n",
    "    ## 2. \"\"\n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": clades[\"costaricana\"] + clades[\"triangle\"] + clades[\"trigonata\"],\n",
    "    \"p2\": clades[\"obtusifolia\"] + clades[\"nymphaeifolia\"],\n",
    "    \"p1\": clades[\"bullenei\"] + clades[\"popenoei\"],\n",
    "    },\n",
    "    \n",
    "    ## 3. \"\"\n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": clades[\"costaricana\"] + clades[\"triangle\"] + clades[\"trigonata\"],\n",
    "    \"p2\": clades[\"obtusifolia\"],\n",
    "    \"p1\": clades[\"bullenei\"] + clades[\"popenoei\"],\n",
    "    },\n",
    "    \n",
    "    ## 4. \"\"\n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": clades[\"costaricana\"] + clades[\"triangle\"] + clades[\"trigonata\"],\n",
    "    \"p2\": clades[\"nymphaeifolia\"],\n",
    "    \"p1\": clades[\"bullenei\"] + clades[\"popenoei\"],\n",
    "    },    \n",
    "    \n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": clades[\"costaricana\"] + clades[\"triangle\"] + clades[\"trigonata\"],\n",
    "    \"p2\": clades[\"bullenei\"] + clades[\"popenoei\"],\n",
    "    \"p1\": clades[\"citrifolia\"] + clades[\"paraensis\"],\n",
    "    }, \n",
    "    \n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": clades[\"costaricana\"] + clades[\"triangle\"] + clades[\"trigonata\"],\n",
    "    \"p2\": clades[\"citrifolia\"],\n",
    "    \"p1\": clades[\"paraensis\"],\n",
    "    }, \n",
    "    \n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": clades[\"costaricana\"] + clades[\"triangle\"] + clades[\"trigonata\"],\n",
    "    \"p2\": clades[\"popenoei\"],\n",
    "    \"p1\": clades[\"bullenei\"],\n",
    "    }, \n",
    "    \n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": clades[\"costaricana\"] + clades[\"triangle\"] + clades[\"trigonata\"],\n",
    "    \"p2\": clades[\"nymphaeifolia\"],\n",
    "    \"p1\": clades[\"obtusifolia\"],\n",
    "    }, \n",
    "]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  [####################] 100%  calculating D-stats  | 0:01:46 |  \n"
     ]
    }
   ],
   "source": [
    "res, boots = baba.batch(locfile, tests, 1, 1000, ipyclient)\n",
    "#print res\n",
    "#boots = np.zeros((len(tests), 1000))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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QWyXp2boFicSIdplbr1EtYoBORERERKRTbYXYKoWiZNG2slUb5AiFwvj+Dx6pyIwAIqcY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7WJwuHw1Pxzv+GTKwAAAAAALkCBDt+aXDQOAAAAANyAVdyLXOOuneqLxUyn4WvTV6ZE4TXu2qmm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style=\"fill:none;stroke:rgb(16.1%,15.3%,14.1%);stroke-opacity:1.0;stroke-width:1.0\"></path><path d=\"M 313.708309972 861.366253322 L 313.708309972 858.808680248\" style=\"fill:none;stroke:rgb(16.1%,15.3%,14.1%);stroke-opacity:1.0;stroke-width:1.0\"></path></g><g class=\"toyplot-Vertices\"><g class=\"toyplot-Datum\" style=\"fill:rgb(65.1%,84.7%,32.9%);fill-opacity:1.0;opacity:1.0;stroke:rgb(65.1%,84.7%,32.9%);stroke-opacity:1.0\"><circle cx=\"120.41939176544827\" cy=\"861.36625332152346\" r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(65.1%,84.7%,32.9%);fill-opacity:1.0;opacity:1.0;stroke:rgb(65.1%,84.7%,32.9%);stroke-opacity:1.0\"><circle cx=\"120.41939176544827\" cy=\"858.80868024800714\" r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(65.1%,84.7%,32.9%);fill-opacity:1.0;opacity:1.0;stroke:rgb(65.1%,84.7%,32.9%);stroke-opacity:1.0\"><circle cx=\"168.74162131708661\" cy=\"861.36625332152346\" r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(65.1%,84.7%,32.9%);fill-opacity:1.0;opacity:1.0;stroke:rgb(65.1%,84.7%,32.9%);stroke-opacity:1.0\"><circle cx=\"168.74162131708661\" cy=\"858.80868024800714\" r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(65.1%,84.7%,32.9%);fill-opacity:1.0;opacity:1.0;stroke:rgb(65.1%,84.7%,32.9%);stroke-opacity:1.0\"><circle cx=\"217.06385086872498\" cy=\"861.36625332152346\" r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(65.1%,84.7%,32.9%);fill-opacity:1.0;opacity:1.0;stroke:rgb(65.1%,84.7%,32.9%);stroke-opacity:1.0\"><circle cx=\"217.06385086872498\" cy=\"858.80868024800714\" r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(65.1%,84.7%,32.9%);fill-opacity:1.0;opacity:1.0;stroke:rgb(65.1%,84.7%,32.9%);stroke-opacity:1.0\"><circle cx=\"251.17365996399911\" cy=\"861.36625332152346\" r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(65.1%,84.7%,32.9%);fill-opacity:1.0;opacity:1.0;stroke:rgb(65.1%,84.7%,32.9%);stroke-opacity:1.0\"><circle cx=\"251.17365996399911\" cy=\"858.80868024800714\" r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(65.1%,84.7%,32.9%);fill-opacity:1.0;opacity:1.0;stroke:rgb(65.1%,84.7%,32.9%);stroke-opacity:1.0\"><circle cx=\"313.70830997200164\" cy=\"861.36625332152346\" r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(65.1%,84.7%,32.9%);fill-opacity:1.0;opacity:1.0;stroke:rgb(65.1%,84.7%,32.9%);stroke-opacity:1.0\"><circle cx=\"313.70830997200164\" cy=\"858.80868024800714\" r=\"0.0\"></circle></g></g></g><g class=\"toyplot-mark-Text\" id=\"t0429c7ad72264fcdb12a85d474b85ce4\" style=\"-toyplot-anchor-shift:0;alignment-baseline:middle;font-size:12px;font-weight:normal;stroke:none;text-anchor:middle\"><g class=\"toyplot-Series\"><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:middle\" transform=\"translate(120.41939176544827,873.42338352524359)\"><tspan style=\"dominant-baseline:inherit\">-0.2</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:middle\" transform=\"translate(168.74162131708661,873.42338352524359)\"><tspan style=\"dominant-baseline:inherit\">0.0</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:middle\" transform=\"translate(217.06385086872498,873.42338352524359)\"><tspan style=\"dominant-baseline:inherit\">0.2</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:middle\" transform=\"translate(251.17365996399911,873.42338352524359)\"><tspan style=\"dominant-baseline:inherit\">6.0</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:middle\" transform=\"translate(313.70830997200164,873.42338352524359)\"><tspan style=\"dominant-baseline:inherit\">0.0</tspan></text></g></g><g class=\"toyplot-mark-Text\" id=\"t18d39fc7e28a478794213be9ef719c82\" style=\"-toyplot-anchor-shift:0;alignment-baseline:middle;font-size:12px;font-weight:normal;stroke:none;text-anchor:middle\"><g class=\"toyplot-Series\"><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:middle\" transform=\"translate(120.41939176544827,888.03808680248005)\"><tspan style=\"dominant-baseline:inherit\">BABA</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:middle\" transform=\"translate(217.06385086872498,888.03808680248005)\"><tspan style=\"dominant-baseline:inherit\">ABBA</tspan></text></g></g><g class=\"toyplot-mark-Text\" id=\"td48a32a840e649edb5d4e6b68547a17e\" style=\"-toyplot-anchor-shift:0;alignment-baseline:middle;font-size:12px;font-weight:normal;stroke:none;text-anchor:middle\"><g class=\"toyplot-Series\"><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:middle\" transform=\"translate(168.74162131708661,208.45438441098321)\"><tspan style=\"dominant-baseline:inherit\">Bootstrap D-statistics</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:middle\" transform=\"translate(282.44098496800041,208.45438441098321)\"><tspan style=\"dominant-baseline:inherit\">Z-scores</tspan></text></g></g><g class=\"toyplot-mark-Text\" id=\"t41f8b25b8cc8469f9da2f6dcfa46c6a8\" style=\"-toyplot-anchor-shift:0;alignment-baseline:middle;font-size:12px;font-weight:normal;stroke:none;text-anchor:start\"><g class=\"toyplot-Series\"><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(710.68842859146866,866.11603188662525)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A01_paraensis</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(698.59275160732886,866.11603188662525)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A02_paraensis</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(686.49707462318918,866.11603188662525)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A04_paraensis</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(674.40139763904938,866.11603188662525)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A05_paraensis</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(734.87978255974815,866.11603188662525)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A19_citrifolia</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(904.21926033770478,866.11603188662525)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A33_nymphaeifolia</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(892.1235833535651,866.11603188662525)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A41_nymphaeifolia</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(867.9322293852855,866.11603188662525)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A42_nymphaeifolia</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(420.39218097211437,866.11603188662525)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A48_trigonata</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(408.29650398797457,866.11603188662525)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A49_trigonata</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(444.58353494039392,866.11603188662525)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A55_triangle</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(565.54030478179141,866.11603188662525)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A59_dugandii</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(529.25327382937223,866.11603188662525)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A61_turbinata</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(650.21004367076978,866.11603188662525)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A65_pertusa</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(759.07113652802764,866.11603188662525)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A67_bullenei</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(746.97545954388795,866.11603188662525)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A70_bullenei</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(771.16681351216744,866.11603188662525)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A72_bullenei</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(505.06191986109275,866.11603188662525)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A77_colubrinae</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(601.82733573421081,866.11603188662525)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A82_perforata</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(589.73165875007101,866.11603188662525)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A83_perforata</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(626.01868970249041,866.11603188662525)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A84_perforata</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(638.11436668663009,866.11603188662525)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A85_perforata</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(480.87056589281309,866.11603188662525)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A87_costaricana</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(843.74087541700601,866.11603188662525)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">B102_obtusifolia</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(517.15759684523243,866.11603188662525)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C04_colubrinae</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(468.7748889086734,866.11603188662525)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C11_costaricana</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(541.34895081351203,866.11603188662525)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C12_dugandii</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(577.63598176593132,866.11603188662525)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C14_dugandii</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(880.02790636942541,866.11603188662525)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C19_nymphaeifolia</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(855.8365524011457,866.11603188662525)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C21_obtusifolia</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(831.64519843286632,866.11603188662525)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C22_obtusifolia</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(819.54952144872641,866.11603188662525)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C24_obtusifolia</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(783.26249049630724,866.11603188662525)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C25_popenoei</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(795.35816748044704,866.11603188662525)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C26_popenoei</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(807.45384446458672,866.11603188662525)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C27_popenoei</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(662.30572065490958,866.11603188662525)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C28_pertusa</tspan></text><text 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style=\"dominant-baseline:inherit\">outgroup</tspan></text></g></g></g></g></svg><div class=\"toyplot-interactive\"><ul class=\"toyplot-mark-popup\" onmouseleave=\"this.style.visibility='hidden'\" style=\"background:rgba(0%,0%,0%,0.75);border:0;border-radius:6px;color:white;cursor:default;list-style:none;margin:0;padding:5px;position:fixed;visibility:hidden\">\n",
       "            <li class=\"toyplot-mark-popup-title\" style=\"color:lightgray;cursor:default;padding:5px;list-style:none;margin:0\"></li>\n",
       "            <li class=\"toyplot-mark-popup-save-csv\" onmouseout=\"this.style.color='white';this.style.background='steelblue'\" onmouseover=\"this.style.color='steelblue';this.style.background='white'\" style=\"border-radius:3px;padding:5px;list-style:none;margin:0\">\n",
       "                Save as .csv\n",
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       "        </ul><script>\n",
       "        (function()\n",
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       "\n",
       "          function save_csv(data_table)\n",
       "          {\n",
       "            var uri = \"data:text/csv;charset=utf-8,\";\n",
       "            uri += data_table.names.join(\",\") + \"\\n\";\n",
       "            for(var i = 0; i != data_table.columns[0].length; ++i)\n",
       "            {\n",
       "              for(var j = 0; j != data_table.columns.length; ++j)\n",
       "              {\n",
       "                if(j)\n",
       "                  uri += \",\";\n",
       "                uri += data_table.columns[j][i];\n",
       "              }\n",
       "              uri += \"\\n\";\n",
       "            }\n",
       "            uri = encodeURI(uri);\n",
       "\n",
       "            var link = document.createElement(\"a\");\n",
       "            if(typeof link.download != \"undefined\")\n",
       "            {\n",
       "              link.href = uri;\n",
       "              link.style = \"visibility:hidden\";\n",
       "              link.download = data_table.filename + \".csv\";\n",
       "\n",
       "              document.body.appendChild(link);\n",
       "              link.click();\n",
       "              document.body.removeChild(link);\n",
       "            }\n",
       "            else\n",
       "            {\n",
       "              window.open(uri);\n",
       "            }\n",
       "          }\n",
       "\n",
       "          function open_popup(data_table)\n",
       "          {\n",
       "            return function(e)\n",
       "            {\n",
       "              var popup = document.querySelector(\"#tef71756ab7004090a4f6b22047253520 .toyplot-mark-popup\");\n",
       "              popup.querySelector(\".toyplot-mark-popup-title\").innerHTML = data_table.title;\n",
       "              popup.querySelector(\".toyplot-mark-popup-save-csv\").onclick = function() { popup.style.visibility = \"hidden\"; save_csv(data_table); }\n",
       "              popup.style.left = (e.clientX - 50) + \"px\";\n",
       "              popup.style.top = (e.clientY - 20) + \"px\";\n",
       "              popup.style.visibility = \"visible\";\n",
       "              e.stopPropagation();\n",
       "              e.preventDefault();\n",
       "            }\n",
       "\n",
       "          }\n",
       "\n",
       "          for(var i = 0; i != data_tables.length; ++i)\n",
       "          {\n",
       "            var data_table = data_tables[i];\n",
       "            var event_target = document.querySelector(\"#\" + data_table.id);\n",
       "            event_target.oncontextmenu = open_popup(data_table);\n",
       "          }\n",
       "        })();\n",
       "        </script></div></div>"
      ],
      "text/plain": [
       "<toyplot.canvas.Canvas at 0x7ff73c992590>"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## load into baba\n",
    "tre = baba.Tree(newick)\n",
    "canvas, axes = tre.draw(\n",
    "                    taxdicts=tests, \n",
    "                    bootsarr=boots,\n",
    "                    height=1100,\n",
    "                    width=1000,\n",
    "                    show_tips=True,\n",
    "                    cex=\"12px\",\n",
    "                    pct_tree_x=0.4,\n",
    "                    pct_tree_y=0.2,\n",
    "                    test_labels=True,\n",
    "                    collapse_outgroup=1\n",
    "                    )\n",
    "\n",
    "## save figure\n",
    "toyplot.pdf.render(canvas, \"cladeI_dstat.pdf\")\n",
    "canvas"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Interpretation: \n",
    "There is some evidence of introgression between the two big clades, particularly in obtusifolia and paraensis. However, this may be due to introgression within either clade. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "scaffold = [\n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": clades[\"obtusifolia\"],\n",
    "    \"p2\": clades[\"pertusa\"] + clades[\"perforata\"],\n",
    "    \"p1\": clades[\"dugandii\"] + clades[\"turbinata\"] + \\\n",
    "          clades[\"colubrinae\"] + clades[\"costaricana\"] + \\\n",
    "          clades[\"triangle\"] + clades[\"trigonata\"],\n",
    "    },\n",
    "    \n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": clades[\"obtusifolia\"],\n",
    "    \"p2\": clades[\"pertusa\"] + clades[\"perforata\"],\n",
    "    \"p1\": clades[\"dugandii\"] + clades[\"turbinata\"] + \\\n",
    "          clades[\"colubrinae\"] \n",
    "    },\n",
    "    \n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": clades[\"obtusifolia\"],\n",
    "    \"p2\": clades[\"pertusa\"] + clades[\"perforata\"],\n",
    "    \"p1\": clades[\"dugandii\"] \n",
    "    },\n",
    "    \n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": clades[\"obtusifolia\"],\n",
    "    \"p2\": clades[\"pertusa\"] + clades[\"perforata\"],\n",
    "    \"p1\": clades[\"turbinata\"] + clades[\"colubrinae\"]\n",
    "    },\n",
    "    \n",
    "    ## ...\n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": clades[\"obtusifolia\"],\n",
    "    \"p2\": clades[\"dugandii\"] + clades[\"turbinata\"] + clades[\"colubrinae\"],\n",
    "    \"p1\": clades[\"costaricana\"] + clades[\"triangle\"] + clades[\"trigonata\"],\n",
    "    },\n",
    "    \n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": clades[\"obtusifolia\"],\n",
    "    \"p2\": clades[\"dugandii\"] + clades[\"turbinata\"] + clades[\"colubrinae\"],\n",
    "    \"p1\": clades[\"costaricana\"] \n",
    "    },\n",
    "    \n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": clades[\"obtusifolia\"],\n",
    "    \"p2\": clades[\"dugandii\"] + clades[\"turbinata\"] + clades[\"colubrinae\"],\n",
    "    \"p1\": clades[\"triangle\"] + clades[\"trigonata\"],\n",
    "    },\n",
    "    \n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": clades[\"obtusifolia\"],\n",
    "    \"p2\": clades[\"dugandii\"] + clades[\"turbinata\"] + clades[\"colubrinae\"],\n",
    "    \"p1\": clades[\"triangle\"]\n",
    "    },\n",
    "    \n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": clades[\"obtusifolia\"],\n",
    "    \"p2\": clades[\"dugandii\"] + clades[\"turbinata\"] + clades[\"colubrinae\"],\n",
    "    \"p1\": clades[\"trigonata\"],\n",
    "    },\n",
    "    \n",
    "    ##############\n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": clades[\"obtusifolia\"],\n",
    "    \"p2\": clades[\"costaricana\"],\n",
    "    \"p1\": clades[\"triangle\"] + clades[\"trigonata\"],\n",
    "    },\n",
    "\n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": clades[\"obtusifolia\"],\n",
    "    \"p2\": clades[\"costaricana\"],\n",
    "    \"p1\": clades[\"triangle\"],\n",
    "    },\n",
    "    \n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": clades[\"obtusifolia\"],\n",
    "    \"p2\": clades[\"costaricana\"],\n",
    "    \"p1\": clades[\"trigonata\"],\n",
    "    },\n",
    "    \n",
    "    ###############\n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": clades[\"obtusifolia\"],\n",
    "    \"p2\": clades[\"triangle\"],\n",
    "    \"p1\": clades[\"trigonata\"],\n",
    "    },\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "metadata": {
    "collapsed": true,
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "import copy\n",
    "tests = []\n",
    "\n",
    "p3s = [\n",
    "    clades[\"nymphaeifolia\"],\n",
    "    clades[\"obtusifolia\"],\n",
    "    clades[\"popenoei\"],\n",
    "    clades[\"bullenei\"],\n",
    "    clades[\"citrifolia\"],\n",
    "    clades[\"paraensis\"],\n",
    "]\n",
    "\n",
    "for p3 in p3s:\n",
    "    for tdict in scaffold:\n",
    "        tdict['p3'] = p3\n",
    "        tests.append(copy.copy(tdict))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  [####################] 100%  calculating D-stats  | 0:02:33 |  \n"
     ]
    }
   ],
   "source": [
    "res, boots = baba.batch(locfile, tests, 1, 1000, ipyclient)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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GgPn4nf3vyPPP/4/s378/YZvb1qyV2c0tbhQR8AQCdAAAAKCEMo3DNl63sgbkXtIUDCY8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\nhaac9HFX3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+goqny3YuvrTWrUHilQNgAAAABMa977VGYh63Pd3Xr2xz/Keayzo12dHe1G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\nomMEHQAAAABQEslEQsnk6Zz2puY9ObNmuzo7fHeqEyP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3QBiG4bArge2h8b1z3kFHVn/0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style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:middle\" transform=\"translate(168.74162131708661,169.93379827303801)\"><tspan style=\"dominant-baseline:inherit\">Bootstrap D-statistics</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:middle\" transform=\"translate(282.44098496800041,169.93379827303801)\"><tspan style=\"dominant-baseline:inherit\">Z-scores</tspan></text></g></g><g class=\"toyplot-mark-Text\" id=\"t6b29c943d9324f53b66d3f4fd6c3d994\" style=\"-toyplot-anchor-shift:0;alignment-baseline:middle;font-size:12px;font-weight:normal;stroke:none;text-anchor:start\"><g class=\"toyplot-Series\"><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(710.68842859146866,1702.3517721099704)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A01_paraensis</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(698.59275160732886,1702.3517721099704)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A02_paraensis</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(686.49707462318918,1702.3517721099704)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A04_paraensis</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(674.40139763904938,1702.3517721099704)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A05_paraensis</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(734.87978255974815,1702.3517721099704)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A19_citrifolia</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(904.21926033770478,1702.3517721099704)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A33_nymphaeifolia</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(892.1235833535651,1702.3517721099704)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A41_nymphaeifolia</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(867.9322293852855,1702.3517721099704)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A42_nymphaeifolia</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(420.39218097211437,1702.3517721099704)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A48_trigonata</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(408.29650398797457,1702.3517721099704)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A49_trigonata</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(444.58353494039392,1702.3517721099704)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A55_triangle</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(565.54030478179141,1702.3517721099704)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A59_dugandii</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(529.25327382937223,1702.3517721099704)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A61_turbinata</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(650.21004367076978,1702.3517721099704)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A65_pertusa</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(759.07113652802764,1702.3517721099704)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A67_bullenei</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(746.97545954388795,1702.3517721099704)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A70_bullenei</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(771.16681351216744,1702.3517721099704)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A72_bullenei</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(505.06191986109275,1702.3517721099704)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A77_colubrinae</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(601.82733573421081,1702.3517721099704)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A82_perforata</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(589.73165875007101,1702.3517721099704)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A83_perforata</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(626.01868970249041,1702.3517721099704)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A84_perforata</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(638.11436668663009,1702.3517721099704)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A85_perforata</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(480.87056589281309,1702.3517721099704)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A87_costaricana</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(843.74087541700601,1702.3517721099704)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">B102_obtusifolia</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(517.15759684523243,1702.3517721099704)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C04_colubrinae</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(468.7748889086734,1702.3517721099704)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C11_costaricana</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(541.34895081351203,1702.3517721099704)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C12_dugandii</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(577.63598176593132,1702.3517721099704)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C14_dugandii</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(880.02790636942541,1702.3517721099704)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C19_nymphaeifolia</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(855.8365524011457,1702.3517721099704)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C21_obtusifolia</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(831.64519843286632,1702.3517721099704)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C22_obtusifolia</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(819.54952144872641,1702.3517721099704)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C24_obtusifolia</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(783.26249049630724,1702.3517721099704)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C25_popenoei</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(795.35816748044704,1702.3517721099704)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C26_popenoei</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(807.45384446458672,1702.3517721099704)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C27_popenoei</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(662.30572065490958,1702.3517721099704)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C28_pertusa</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(432.48785795625406,1702.3517721099704)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C30_triangle</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(456.6792119245336,1702.3517721099704)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C31_triangle</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(396.20082700383483,1702.3517721099704)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C36_trigonata</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(384.10515001969509,1702.3517721099704)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C37_trigonata</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(347.81811906727575,1702.3517721099704)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C39_trigonata</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(359.9137960514156,1702.3517721099704)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C41_trigonata</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(372.00947303555529,1702.3517721099704)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C43_trigonata</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(553.44462779765172,1702.3517721099704)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C49_dugandii</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(613.92301271835049,1702.3517721099704)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C51_perforata</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(722.78410557560846,1702.3517721099704)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C53_citrifolia</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(492.96624287695295,1702.3517721099704)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C5_colubrinae</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:12px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(916.31493732184458,1702.3517721099704)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">outgroup</tspan></text></g></g></g></g></svg><div class=\"toyplot-interactive\"><ul class=\"toyplot-mark-popup\" onmouseleave=\"this.style.visibility='hidden'\" style=\"background:rgba(0%,0%,0%,0.75);border:0;border-radius:6px;color:white;cursor:default;list-style:none;margin:0;padding:5px;position:fixed;visibility:hidden\">\n",
       "            <li class=\"toyplot-mark-popup-title\" style=\"color:lightgray;cursor:default;padding:5px;list-style:none;margin:0\"></li>\n",
       "            <li class=\"toyplot-mark-popup-save-csv\" onmouseout=\"this.style.color='white';this.style.background='steelblue'\" onmouseover=\"this.style.color='steelblue';this.style.background='white'\" style=\"border-radius:3px;padding:5px;list-style:none;margin:0\">\n",
       "                Save as .csv\n",
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       "        </ul><script>\n",
       "        (function()\n",
       "        {\n",
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       "\n",
       "          function save_csv(data_table)\n",
       "          {\n",
       "            var uri = \"data:text/csv;charset=utf-8,\";\n",
       "            uri += data_table.names.join(\",\") + \"\\n\";\n",
       "            for(var i = 0; i != data_table.columns[0].length; ++i)\n",
       "            {\n",
       "              for(var j = 0; j != data_table.columns.length; ++j)\n",
       "              {\n",
       "                if(j)\n",
       "                  uri += \",\";\n",
       "                uri += data_table.columns[j][i];\n",
       "              }\n",
       "              uri += \"\\n\";\n",
       "            }\n",
       "            uri = encodeURI(uri);\n",
       "\n",
       "            var link = document.createElement(\"a\");\n",
       "            if(typeof link.download != \"undefined\")\n",
       "            {\n",
       "              link.href = uri;\n",
       "              link.style = \"visibility:hidden\";\n",
       "              link.download = data_table.filename + \".csv\";\n",
       "\n",
       "              document.body.appendChild(link);\n",
       "              link.click();\n",
       "              document.body.removeChild(link);\n",
       "            }\n",
       "            else\n",
       "            {\n",
       "              window.open(uri);\n",
       "            }\n",
       "          }\n",
       "\n",
       "          function open_popup(data_table)\n",
       "          {\n",
       "            return function(e)\n",
       "            {\n",
       "              var popup = document.querySelector(\"#t9d8d12e77f1f470bad4928dfdb2dc0d9 .toyplot-mark-popup\");\n",
       "              popup.querySelector(\".toyplot-mark-popup-title\").innerHTML = data_table.title;\n",
       "              popup.querySelector(\".toyplot-mark-popup-save-csv\").onclick = function() { popup.style.visibility = \"hidden\"; save_csv(data_table); }\n",
       "              popup.style.left = (e.clientX - 50) + \"px\";\n",
       "              popup.style.top = (e.clientY - 20) + \"px\";\n",
       "              popup.style.visibility = \"visible\";\n",
       "              e.stopPropagation();\n",
       "              e.preventDefault();\n",
       "            }\n",
       "\n",
       "          }\n",
       "\n",
       "          for(var i = 0; i != data_tables.length; ++i)\n",
       "          {\n",
       "            var data_table = data_tables[i];\n",
       "            var event_target = document.querySelector(\"#\" + data_table.id);\n",
       "            event_target.oncontextmenu = open_popup(data_table);\n",
       "          }\n",
       "        })();\n",
       "        </script></div></div>"
      ],
      "text/plain": [
       "<toyplot.canvas.Canvas at 0x7f352c0fba10>"
      ]
     },
     "execution_count": 100,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## load into baba\n",
    "tre = baba.Tree(newick)\n",
    "canvas, axes = tre.draw(\n",
    "                    taxdicts=tests, \n",
    "                    bootsarr=boots,\n",
    "                    height=2000,\n",
    "                    width=1000,\n",
    "                    show_tips=True,\n",
    "                    cex=\"12px\",\n",
    "                    pct_tree_x=0.4,\n",
    "                    pct_tree_y=0.05,\n",
    "                    test_labels=True,\n",
    "                    collapse_outgroup=1\n",
    "                    )\n",
    "\n",
    "toyplot.pdf.render(canvas, \"cladeII_dstat.pdf\")\n",
    "canvas"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Set up tests within *Urostigma I*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "### set up a list of tests as dictionaries, (e.g., [dict, dict, dict]). \n",
    "tests = [\n",
    "    \n",
    "    ## P3 = obtusifolia + nymphaeifolia\n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": clades[\"obtusifolia\"] + clades[\"nymphaeifolia\"],\n",
    "    \"p2\": clades[\"citrifolia\"] + clades[\"paraensis\"],\n",
    "    \"p1\": clades[\"bullenei\"] + clades[\"popenoei\"],\n",
    "    },\n",
    "\n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": clades[\"obtusifolia\"] + clades[\"nymphaeifolia\"],\n",
    "    \"p2\": clades[\"citrifolia\"],\n",
    "    \"p1\": clades[\"paraensis\"],\n",
    "    },\n",
    "    \n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": clades[\"obtusifolia\"] + clades[\"nymphaeifolia\"],\n",
    "    \"p2\": clades[\"bullenei\"],\n",
    "    \"p1\": clades[\"popenoei\"],\n",
    "    },\n",
    "    \n",
    "    ## P3 = obtusifolia\n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": clades[\"obtusifolia\"],\n",
    "    \"p2\": clades[\"citrifolia\"] + clades[\"paraensis\"],\n",
    "    \"p1\": clades[\"bullenei\"] + clades[\"popenoei\"],\n",
    "    },\n",
    "    \n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": clades[\"obtusifolia\"],\n",
    "    \"p2\": clades[\"citrifolia\"],\n",
    "    \"p1\": clades[\"paraensis\"],\n",
    "    },\n",
    "    \n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": clades[\"obtusifolia\"],\n",
    "    \"p2\": clades[\"bullenei\"],\n",
    "    \"p1\": clades[\"popenoei\"],\n",
    "    },\n",
    "\n",
    "    ## P3 = nymphaeifolia\n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": clades[\"nymphaeifolia\"],\n",
    "    \"p2\": clades[\"citrifolia\"] + clades[\"paraensis\"],\n",
    "    \"p1\": clades[\"bullenei\"] + clades[\"popenoei\"],\n",
    "    },\n",
    "    \n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": clades[\"nymphaeifolia\"],\n",
    "    \"p2\": clades[\"citrifolia\"],\n",
    "    \"p1\": clades[\"paraensis\"],\n",
    "    },\n",
    "    \n",
    "    {\n",
    "    \"p4\": pharma,\n",
    "    \"p3\": clades[\"nymphaeifolia\"],\n",
    "    \"p2\": clades[\"bullenei\"],\n",
    "    \"p1\": clades[\"popenoei\"],\n",
    "    },\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  [####################] 100%  calculating D-stats  | 0:00:37 |  \n"
     ]
    }
   ],
   "source": [
    "res, boots = baba.batch(locfile, tests, 1, 1000, ipyclient)\n",
    "\n",
    "#np.savetxt(\"test2.npy\", boots)\n",
    "#boots = np.loadtxt(\"test2.npy\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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QAaDAshXw0XrD5tTPG/JAnVoVPZ+T79Tlzwo9R7tQRePsuqBRDJJ7x62eHNbW\n1snlNQHHkmMtFi1pz0abv66dtI6Unh6rvZsza+uy/j6ImE8n2fzzh0bEybi29FimUUn19fOyLj2W\nehGxVAtNat+7oUZp5PK9G2m09y+XeeRaMu5EQc14PCZr7mqSf/vX3Zbvkzx9iZET7iNBLwLxeEyi\nXVH9b5/fVxQH1+QfeSdjjsdjEovFs/6YWN2vWKiqKn0pB4Fi+W6MVK2t2+RnP31AXn/tNdPbh+oN\nyyR5GKuiKLJj566ck5nkxyj0XNVCFo0r9YJx0WiXbNq4QcLhTnkrHh9y3+Qecjd+M3KZg9mwaHHJ\nJwVaL+9//ucf5JVX/mS6T749mak9waW+5KCqqnLv978rL774u7R2YPXiZ7Lk5RpFSu93I1W2kRsf\n+9jHZPInLpVgKDTiiz9qo+AOHnzFUBfGjPZ7W8glKSPhsDStvjPnwnMXX3yxbHnokZL+zfU6EvQi\noDUw7aAcjXZJIFCT81VcbQ6M2f2Gui1fMz83wxCzUlll+cQ/WzzJt2trSJolNVb3K0Zab5QmGu0S\nn89fsr2CxSy1IFHy8lQf9Plk7tx5eScgqT3g+fTwuLXkmqaQReOS13/P94KG12gnidrFh9Tlz0Tc\nOTm0Klvv04c/fJEcP368JJPKbFXE7ZoLnNrGA4Gaklt+LbUdfNDn0xP04VQqT13xotQvcGhUVZW7\n71otv//9i/LOO+/o21OX+qqvn6dfXB5JWlu3Scu6dRKPx+QDH/iAvP3224bbvbSKRerFac1/+2+f\nloGTA/LygQOG7VrbKWRdGhid1dTU1OR2EBhan6pKd89B+f69ayUYmibTp8+Qb93+Tb3Yi6qq0tEx\nOISroqIi47Znn90jHe3tEgxNk74+VZ59do9+e/JtZWUihw/3y/5oVPx+n5SXj9UfL36mB1pVVSkr\nE3n2mWekp7tbJk2anBb3s8/u0WO+/vrZ8uSTT0g8HjPtrYlGuzLG4/f7054/+faKigqZOPEC8fv9\nQz5O8n5m70/qfb1OURQJhqZJMDRNfH6/7GjdLnd8507T2M1em5XvTTweM3wXBgYG5NlnnpH+w/2G\nk8Vie+8KIR6PySMPPyx3fGuFPPXkExJP6slJPtmZPGmy3LXm7rzfN0VRpP9wv94LuW/fXvnn62eL\n32/9ZCAQqJFHHn5YX/d37NhyCYam5RVPPioqKkRRFH0o6sDAgESjXXL99bOz3DN3kyZNlqeefEJE\nRP9MCvla7dbR3iYLb/mSRCLvJ3ja9+vcc8+V733/B3LXmrvlizfPl2DIm3O7y8vHSiBQI9dOnyH9\n/Ydl3769htuPHXtL/24W82elSf5taG3dnjYSSnPJJR+R1sce14+DwxEI1MjAwID+3vb3HxZVVaW2\nRJKqjvY2aVy2VJ595hl928kz35lzzz1Xnnnu32XK1KlSXj4258fWvp/a74aTv09u076b3/vuPdLS\nvFZ6e3vlvffeM+zz7rvvGv7WOkIeefhh6VNVmVhRUdLnAdFol9zxrRXyi6RjZvJ7tLBhkXz/3nXy\n1a8tlWunz5BAoCav752dgqFp8s/Xz5aenoOG35s33nhdEonBiy5vv/3+RRet7fR0d8sXb56f9nhw\nHgl6EehTVXn2mWdEUar0f0+aPEmCoWmiqqo0LJg/mIw+84zsj3ZJpVKVti0YmiYd7W2yP9olp0+f\nll27dsrY8rHyi4cflkBNjfxh317ZH+2SKVOukP7D/dK0eqVImcjHJ02WeDwuTavvlLHlYyUSCcsL\n4bD09ByURx4ZLJayb99e6WhvSzvQP/XkE4YDWJmI/GHvPrl2+gzDfh3tbbJp04aM8YhI2vMPDAwY\n4u3oaJN4PD7k42j7pb4/ZTL4I5R632I5wMTjMWlc9g356teWmp68mr2/AwMDae9BefnYtO9NeflY\n/btwwQUXysJb5ovP75dIJGz4XhXre+eEeDwmP/nxj+Rbt39Tnn12jyExFxG58srPyOjRoyUWG+zh\n7O8/LJFwWGrr6vI+iE+ZOlVat2/XTxZ6eg7mfPIYj8f0k/fu7u6CV3ueNGmyIYHoU1UZGBiwPSGz\n44KGF6iqKo23LpVNGzfon7vI4ImWdgL9zjvvSDAU0n9HvSwSDkvDgvmGBEtE5PzzJ+q9dcX6WWlU\nVZX7mtfJ6lUrTX8bFEWRSy+9TA4delVERGKxoxKPxdOOmfkKhqYZvvs93d3Sf7jftsd3g6qq0rR6\npfzkxz8yvJ+p7aC8fKxMmTo17+dRFKUgv09uiMdj8uSTT8imjRvkjtu/KZFIWPr7D6ftFwjUyBdv\nni8zrrtOPnzhh0U98x5otAsXO1q3y1NPPiH9/YelUqkq2vaaSju233H7N9MuqpWXl8upU6dERKSi\n4gKpn+u9Xme/3y/XXz9bJlZUyL69+/TP7u23TxiS8+S2E4/Hh912kB+GuBeBSDgsty5bKoGagIiI\nxGNxCYZC0rh8hbQ0r5VKRdGHoGjDylO3dTy9RyLhsGza9KDeg92waLHEYnHx+30S7YrKpk0PyuYt\nW/UCVtpw9OS529Fol7Q0r9UfQxtKO+fG2dKy/n5D78zCBfMNFU+150+tgqoVucoUj9nzNzQsMcSb\nPNR7qNel7acVwdAqDWs/tsn3LZbha02rVorP78s4rNns/d20cYPpe5D6vWm66x79u7Bp4wbx+X36\n7XNunC07du4yffxiee/slG0Jn+SCRPF4TFavWmkoXjTcIaepQ1hzHZrm5pJryVLnezoRR+qQ1WKr\nzpxpuGLDosXSsGix3Lpsqf4eKooiHU/vKXSIlpm1BZHBYcQNixZL/dy5hs+qGNfzzjaMPbX2RNOq\nlYYCkna3gdTl14p1GGtL81rT39v6+nnSeNtthu+VXcPSU3+fnKqXUQhaQbihKrgPVRhOm5qinTNm\nop1rFHPhsY72NmlpXps2/UY7F49GuwzHX6/XKfjed++R7dt+JSdPnjRsHzNmjCxavET6D/frv0Ej\nZUqH14xyOwBYE6gJyOYtW2Xzlq2yY+cuvbBOPBYXpbJK369SUUy3JdN6xhbe8qWMxSN8fp/+b614\nzcIF8zP+CPv8vozD9PTH6evVD2SRcHjw4Nq6LWs8Vp7f6usSeX+utsjgwae+fp7l+3pNa+s2Uft6\nDcl58nsrYv6+mL0Hmb432nchHo/Jju3bZeGC+bJwwXx9e7G+d3ZRVVWaVq2Uqz9zhWzauMH0ZLHj\n6T3StOZu/fuv1QpIPilOnYedK20eoEabG2eVknRxRkRkx/btecUxXPelXOhrWbfO0vquudCSP41W\n7dnrIuGwzPzcjLTkPBgKyY6du6Rx+YrB19awRL9NVVVDpX8v2bRxg3z+us+m/a7X18+TX//mt9Kw\naLFe1EszVKLrJdoFu5mfm2G4YJKsvn6e7Ni5SzZv2Wpoe4233WZI+ppWrbS1DaRWcW8yuUDiZZFw\nWObcODvt9zYQqJHNW7ZK05q7xefzG46L2ucxXE133WNIVBqXLc37N9sNWifH1Z+5Qm5dtlRaW7el\nxe/z+aW+fp5s3rJVOp7eI43LV5gm1tp+962/X1743e+lcfmKjFMYW5rX6m3B7Dm9SlVVuXXZUrl1\n2VLDuY3P55emNXfL5i1bJRCokfqUCxibNj3oRrhZaW3nkYe3piXnIiInT56Un/z4R9LdfVDfZlfb\nQW5I0ItUPB4Tn88vlYoial+vvk3rBU3dliwSDsucMycG9fXzsh6YO9rb9B6mORmusvepqt7Dnyne\nHdu3SzA4OBxMu+pYXz8vazxWnj+X1xUI1Ojvj3bymut74gXRaJe0rFuXVhQu+b0VMX9fzN6DbN8b\nn88vM2vr9AtFyRdbiu29s4OWmM/83Iy05E47cdES80y9Bqk9V1qSnu/J+HBPSJOL/FhdM9tuPp9f\nWtbfr58ED07hsP8kuGHR4mFd0Cgk7SRx4YL5aSeJjctXGNqjyOBvQPL3aqh1tN2gnSS2NK81xKUo\niiHB0qQmCF49+RV5/3fh89d91rTHTVEUaVi0WF743e8NF+2SaSf/TiWCZo+/2uaLAE6Ix2PStGql\nLFww3xCrdsFtx85dhjadetHRjnagKIrclTSCQ1VVWZ3Uc+pF2jF+5udmmF7Y0GhLT2rfzVx6gJM/\ng46n90jDosWmx72O9jb9grbXLwy1NK+VOTfOzngBMXXUycKUi75eem3Z2k7qlLbUOiCt27ePuM4X\ntzEHvQj0qao88vDDEol0ylNPPiEP/PhH+nIrkyZPkp/8+EfS090tjzyyVebMnSfX33BD2jZtWO2O\n1u1y3vnny7q190p//2F56sknpL5+nvj8PtnRul0v9tbXp+pzq+LxuGzauEH6+lR5ITw497ii4gJ5\n8oknBmN7ZKsEQ9PS5rF973//bz3mzRs3yP+8eb5pQZqe7m6541srMsbj9/vTnv/qYFD+7V93G+Kt\nqKgY8nG0/ebUz5P7mtdJX99gz7wWU+p9dz0llwAAIABJREFUvT4U645vrZCTAwMSiYTlqSefkKee\nfEJ6urvT5sSZvb/B0LS096C2ri7te+P3+fXvwqTJk2TTpg36fP1JkybLlKlTTR/f6+/dcLU0r5WH\nH/q5/Pa3vzFs9/n88sWb58t9Pxxcj9zK3Ltrp88wzAvt7z98prBhKOe5/BUVFYZ5kvv27ZUpU66w\n/HkoijJYBPDM/MOx5WNdmZ9aUVEhPr9Pn48cj8flz3/+s/zjP82y9XkmTZosO1oHRwp4tQhZa+s2\n+dEP10tn578bttfXz5MHfvZgxng/Pmmy/OJMnRAvvbaW5rWyedMG6e7u1rdp7eaBn27I+F0tH1uu\nfx/6VDWn73UhaPPLt27dIs8996xhbq7I4EWThkWL9cKp2epNpBZOjMfjthYmq6ioGBx5kfT972hv\nl/q5c10vaGWmo71N7llzl+zZY/zN1ZLKTMXukutzDAwM2DKnP7VeRk93tyfn6Wpzpp984nHZ9fjO\ntJoHIsbv5fXXzzYt+Jsrv98vwdA0+eLN8+Xa6TPE7/dLd3d3WpvQistddHGlXHzxRZ753kWjXbJ6\n1Xdk1+M7DTEHAjXy/XvXyhdvnm8aayBQI/v27dU7N/ZHuzxRYM1K28lURE4zMDAgJwcGirpeRbFh\nDnqJiITDUqkohhMWs23JQ5u1Xm/tb+02s5MeVVX1CuzRaJc89eQTUl5erve4DXcOlramd6Z4Up9f\n25Yab7bHSX3Pkvczu2+pyPTaUt8DbVvq9yaZ2e2l/N4l0+aZRaNdMmbMGH2ImLZUmjYkNx+p8059\nPn/aUFQr4vGYzLlxtn61OxCokR07d1m+v9tLrmk2bdygD80eP368HD9+XBqXr7C9eJ1X10ZPnZs9\natQoOX36tFxwwQXy3e/9wFKMya/N5/PLjp27XEtqM7WdK6/8jNzz3e9biit57nSu32unpC7tNXbs\nWMMqDZ/81Kdk1eq78j5Gpn4/81lGcSheX34t9f0966yz5NSpU3m3AxH7ftNS5/J7aT56pvYm4t6c\ncG3Oe/Jxrry8XAYGBjxTW0L7riUvnTZ27Fj5yle/bunYk7rsqZv1HfJtO8nLx6Xa+fiTUn355Y7G\njUH0oJcIRVHSeuvMtlVUVIjf7xe/fzBhTb4KqN1mxu/36715FRUV8uLv/kNERK6/frYtFbuzxZP6\n/OXlY03jzeV1pe5ndt9Skem1Zdo2VM+v2e2l/N5pNm3cIE2rVkpf32Diq1VsFRGZO3eefPP2O4b1\n+q+dPsPQK6P1aOXak661DS2x6+8/nFPvjttLrsXjMfnKl5foPXsi7y/rE41G8xpZMJRATY10tLfp\nvUs93d2uV+CNhMPy1S8vMQwz1K6lf+QjH5XG26wlaIGaGkPvoVs9IEO1nX/8p3+yvNSXolTpS131\n9x+WiRUVriVEyas1JC9xl7ok1eE33pAXImEpH1ueV6zB0DRDr9y+fXtl0qTJtvR0inh7+bVotEsa\nl33DMFRYawfnnHOOfG3pUku/ucntQGTwNdrx+oKhafLUk0/oj7s/Gh3Wahx22bRxgzQuW6qPhEpu\nbzfc8AV5cOMmmTJ1asGrq1dUVEg02mX4XdNii0a7bP1e5yoej8m3bv+m/OKRrWlLp7333nvSeNsK\nS8cdRVEM7bWnu1uuv+GGgn8nhtN2AoEaqZ87V+KxeNq0l8d3PiajR4/x3GiRUkSCjrxUKlUSCNSU\nzPIZQCZmB24RkQsuvFCOHzsmIiJ//L//15Yht8HQNJl4Zpk7kfyT9EmTJhtOEqLRaE5DV1OXXCvU\nsFdtTe+epOHPH/zgB2XUqLPkvffeO7O8YtTWBHq4FzTs1tK8VppWrzQMR73ooovlrbfe0uOzurxT\neflYw2cZjXYVdJmyTG1HURT99eUyDcPs5NeNIaSbNm6QW5d9QyKRsOF1DRa0myeXXVptOLGNx+Py\n7DPP6Mul5vo7MX36DEOCGQmHLU+hscKLy6+lJpkiIuedd76+HJTWHqy2g+QpMz3d3bb8Xvv9fsPj\n9vcftnVZvFyZXdwUMba3l18+4Mr0ELOEUcS4jGIkHHZlikUkHJb/+S//n+xParPJxx0Ryem4M2XK\nFfr0Iu19L+RFbjvaTvmZ6W1Tplwhz/+f5/RRQadPn5ZIJKxfKBzJS+o6jQQdedF64YFSZnbg9vn8\ncsd37pSVK1cbel6ffeYZW04uAoEa0yRdUZScehemTLlC790ZGBjIqVesUqkyzF+uVBRHeyq13sjv\nffeetDl/m3/+sHzkox8xnATbvf7wcC9o2EFVVWlY8KW0E9iGRYvl3rXrRFVV/cJFLklt2giBnoO2\nzWMeSqa289WvLZW71tydd9tJrhsQj8cLuhZ1a+s2aVy2VDra29ISc632xHXXfV6unT5D/vn62XLy\nzLrQGq1Ox759e6Vi4gWWk6Ty8rFp88X/sG+vrb21106fYag/EY12uTJCIVOSWV8/T378wAOGXr1c\nRhMEAjXy1JNP6N+5/v7DtrSDQKDGcHHDrffN7OKmz+eX79+7VhpvW2G4wPOHfXsL2qtrljAqiiL3\nrf+R3HjTTYbvtZ11FqzQLojaedzx+/2G70ShLnJnazsiYqhPY6XtKIoiCxsWycMPb5WTSe9Rn6rK\njtbtBf39HWlI0AHAROYD91YJnSnyNGnSZH3Iba5J8FDMk/S2nE78/H6/ofc0l16j1BMMJ3sqM/Ws\nNCxaLPetv1/8fr8EAjXS3d2dV4Jq1XAuaAzXYOL3DX0IuMj7J9daQaJQKJTXSXZ5+diCF1jL1Hbu\n++FgQaLhtJ2KioqCn/xGwmFpXLZUdrRuTyu0pRXru3b6jLQpU1oPVH//YUPhpT5VlaeefEL6D/fL\nx88UQs1Gm9qlDad3ore2tq4u7cJJIYcdD5VkNixarI9sSY4xl17X5JEyfapq22ubMnWqRMJhPQHd\nt3ef7VNxMsl0cTMYCskDP90gU6ZOlfLysWkFBwvR058pYZxZWycP/OxBvQc2eYpFn6oWZARTNNol\nX/3yEseOOx8/8/umHU9EnO1Ft9J2Ui/W5tJ2qpQq06r0+/btlaeefEImTZrsqaKdpYAEHQCSWDlw\naxRFSavma1fvSWqSLjJ4wpzL42tzJLUD8h/27bWcaE+sqDD0VDqR1KXOTRZ5v2cldThhvgmqVcO5\noJEvbQj45o0b0k6uf/noNsPnXF4+Vu8FHLyv9ZNsp3oPU2VrO8kJy3DaTqEq1EfCYWlafaf85Mc/\nMvT+iQwm5i3r78/6HVQURa6/frZMmXLF4NDxpMeJRrvkF49stZyoT5k61ZAw2N1b+34C3G4YTu90\nsmklyUyOMd+LO6kjZeyqsv1+8tOuJ2SFmI8+1MXN79+71vB9Sq087/Scb20ETWrCeMd37pTly1cY\n3pfUOgtO1BpJVojjTurxZN++vY5ML8q17UyZOtUwYiHftjNq1Ch9Tns8HtcvOGoXhDB8JOgAcEY0\n2iU/vK9F9u79vb4t04FbEwxNMwwN3bd3n23zQ7Ukfd/effrB9y9//ouMKR9j+aQ8+WQ2lyHBFRUV\nhgPywMCArT3K3/vuPfLoo7+Qt5J6JJN7VlINJ0G1KhiaJk/selyfo7f39y/KDbNnO3LCEY/H5Nt3\nfEt+8/SvDdsbl6+Qu9bcY/qcqUltLifZyd+DPlW1fRiuWdvx+fzywE832N52/H5/2nKCdp/8trZu\nk7Z/3S3PPfdsSswhueuue+SLN8/P6fkURZH6ufNkYkWF9HR3G3rio9EuicWOykUXXZQ1KQmFQobe\n2mefeUaunT7DtmSm4sz3IjkBfumlP0rdP/6jY+3grqbV0rp9m2G7WZKpMbu4Y7XXtWLiBYbfELva\nQerSkP39hx1ZGlITCYflZz/9SU7HquH0oOaitXWb/PhHP5TXX3/t/edOGn1mJnUEk921RjR2HHes\nJrWpxQntLtKZT9tJHbGQb9tJJBIy9Yor5LVDh/Tbo9Euad2+XXx+n2dWMyhmJOgAIIMHl4W3fEkO\nHnxFvzr8iU9cKr/a3po1AQrU1BiuSts5zzcQqJFjx47J3r2/l7KyMjl69GhOPemKohh63bq7uy1f\nQBgYGDAUVrIrCWpatVJ+9egvZVRZmbz33ntSVlYmi5d8WZruWpO1N9LpXqBfPfpLicWOSnl5ubz5\n5psSCYdt7wmLx2Oy8JYvye/+4wUpLy+XU6dOic/nl188ui3riV++J9lOFljL1HYef+JJx9qOkye/\n2tJjhw69qheJ+tjHPy7rmtfLV7+2dFijKgKBGvnizfNlYkWFRMJhOXXqlJSVlcmf/vSypYKQqb21\nIiIvRMK2jiZRFEVeeCEirx06JOXl5fLG66872g7C4U45++yz5fTp0zJmzBjZtOUhmTNn7pD3Tb24\nE41GLf2upf4e7tu7z9Yk9Yldj8vp06fl7LPPlp4eZ4rtRaNd8pUvL5GDB1+RsrIyERn8Xv3i0W1D\ntjezHlS753xrbeftt9/W207dP/6TbNry0JCfjVnBPbvnN2vHndOnTsnp06fzPu70dHdbOu5oj6lN\nS4lGu2wbleWFtnP82HFZ13yfdL30R/14pJ0zaNMBqFWVPxJ0ACOelmBo635qQ7f+9re/WSqQljo/\ntE9VbTu5iITDsnrVd9K259JzljxML6ckKGVotB1LrrU0r5VHzgxPTl6S6vDhNywlGYGaGkMPop29\nQE2rVko4/O8i8v7yP/39h21NTrQTK20OtfY8AwMDUiZlWU/mh3OSndp7aMdcT7fajlmFejt6kpPX\nBU/+fp46dVrq5861rac6Gu2S3/7macM2q6s2pPbWxuNxWxOtplUr9ZEdTrUDEZGvJC0lePr0af35\n3nnnHcs9lMnDyv+wb6+lXtdAoMb2KRLxeEzm3PgFvVK29nqi0S5b51SntjdNf/9hy+3NqTnfmdrO\n4TcOWxqy7mStkeTjjvbZiAzvuGMlqZ0ydaoj04u80nYuvvhieeCnGwzfKZHB75W2egdF5PJDgg5g\nRNNOrJJPeMaO/YB+gmG1t3rK1Klp6xUPN2HQekq0k8gJEybIyZMn9dutLsGWeiU/lwJJ/f2HbVty\nrbV1m7Q0r9P/vuCCC+T48eMiMphkWEkAtB5Eu3uBmlatlNbW94cKnnvuufrSMnYW5PpKyvrmyc8T\njXZZ6nHL9yRbUZSUitPDq1bvdttJrbHQ16cO63ugFYMzey35LnloJjmRMXseKz3iqeuX23VRMFs7\nsCtJb1q10jB3+mMf/7i8+eabImJ9mTftc0gunGflPbC7yrZ20S15TnPy0oiRSNiWofRmyXk+7c2s\nB3W432ut/oRZXLm0HSdqjaQed5I/m+Ecd6xe6La7SKcX286102fItdNnSF+faiiISRG5/JGgAxix\nzE6smtbcLUv+15cNQ0itVjNOnkcnIsMqFGR2MnbvD9ZJMBTKa530KVOnGk7K9ke7LPccbNq4QX++\nfJdcS01KfD6//Gr7DsNSVFYTALt7gVKTkkCgRlofe9ywtJnV5Dnb8ySfWNXXz5Of/PRnhp4Zq8+T\n70m2XQXWcmk7lpL0PNuOXSe/qRfDfD6/PPTwIxKoqcmrvWVi1g4eevgRUZQq/WTZatKQNoc/h2XH\nzGzauEE2bdqg/621g+Slzey4WGXW3h5+5Jd5tYN8L+6kVtnO9zWljogRGZwD/LWl38irHQz1PA0L\nvmQoMpipveVyccuOOd/ascqOtmN3rRGz9vbTBzdImZQV7LgTCNQYvqO5FGtNZdZ2fvyTn8m+vXsL\n1namTJ1qGJGnfT4VFRVy/fWDNVui0aj+faCIXH5I0AGMSJlOrBoWLZGKigoJhkI5VzP2+/2G5Wy0\nA2auCZBZct605m65/vrZGddJtzaHrMpw4mMltvLyscNecs3sJGnzzx+SSZMmy7XTZxgeXztZynay\naFfl3+ShjyJaMaOHxOfzpxXkGk6SbnZi9cDPHpTy8rFSW1eX9jxWe8JyPck26wHJtahhrm3HyrJT\n+bad1GkYPd3dOScaZu3t+/eulWBomml7y/fCW2ovo9YOAoEamTJ1qmk7yPY8tXV1hh5Hq0NvU7W2\nbpPvffce/e/kdnDt9Blp1ePtbAfa85i1AyvPM336DMN7YOXzSa2yHY125Vxjw6wd1NfPkzu+c6dp\nO8g3SdeepzupInrTmrulvn6e/jzJS5lZSYS115lrD2oqs7Zzx3fulOnTZ+TdduyqNZLpuBMI1GQ8\n7li5KJZ83IlEwpaSWjuKE2ZqOxMnVtjWdqyM3jGbXpTcdqZMnSr1c+caLnBr+1FEzjoSdAAjzlAn\nVhqzasZWTnwmTZo8rHl0mXpK6uvfTzrMTnz+sG9vzic+Vq+YD2fJtaGSEo3ZyZKlHoBhVv5NHfqY\nnCyISMbkOdcT2UwnVtpnpT1P6hrU2U7i8j3JTu0ByaXAmtW2k5w0ON12kivU9/cfzunkd6iLYZpA\noCZtDfJch3qb9TJaaQfZnie1xzGX+aQas0Tmvh/eL4pSpW+z42KVWQ+9lfaW7fNMXefb8sWdlEKD\n/f2Hc1qp4lu3f1P/TogMtoOmNXfrf+d7sSpZpvb21a+9PxWjoqLC9KJttudJXbYv12NVpraTeqzK\np+0Mt9ZIvscdK731ZqN9srU3syKduQzdL1TbsXrhPlvbKS8fK7W1dTJlyhXyh317KSKXh1FuBwAA\nhRYJh9NOeJJPrDTBUMiwPR6Ppa05a+auNXcbTnI2bXrQcmyt27eLqhqHDSef8CTH3LBosf53NNol\nkXA4bb9UDYsW6wd1EbH0egKBGgmGQjndR6MNjxcxP0nSNK252/Ac7e1thvfBjKIo0njbbfrfVt8D\nzY7t7/c6+Xx+aVpzt+G9yRRz6/btaUWaMlFVVdqT3q/UE6vk52lZf79he3J8mTQsWiwzk06MrMTm\n8/mlfu77lX7b29ssvx6rbScQqClY2wmGQnl/PztSXnum9tawaLFhe67ftdTnabzttoztIPV5ol3R\nIR87GApJ4/IVeceW2g7M2qjZdittVJP6+Q/VDjb//CHDd8BKO5hZW2d436y2g+Tf0Eg4bPn1pL7H\nQ7WDzT9/SP/bajtIjslKe0vdnkt7y/V4kLyvU21H+z3WxOMxw7Ekm9TvzFDHneTfTyePO8ltVFVV\ny2009bNUFCWntpOtHeTbdpLfg0xtJxgKyY6duwztTNs/l+/aiJQAgBGove3fElddOTWxeuWdWffd\nvv1XiepLJ1naVxPu7ExUXzop0bzuBznHlsvzrV55Z6L60kmJ7dt/ldPjX3Xl1Jzvs+CWm3O6T64x\nxmJHEzd94YbEVVdOTXR1vWT58Zd94+uJm75wQ073yfX5YrGjiauunJq46Qs3JGKxozk9T1fXS4mb\nvnBD4vPXTc96366ul3J+Hi22Zd/4es73aV73g5xfj9Z2ln3j61n3LVTbCXd2Jq66cmpi44YHLd9H\n07zuB4nqSydZum8+7S2f+y645ebEVVdOTYQ7Oy0//rJvfD3ntpNI5N4O8mmjud4333bw+eumJxbc\ncnNO3+nPXzc9sXrlnYne3l7L98k1xnzaQT73zed52tv+zfL3P9XGDQ862naa1/0gcdWVUxPtbf+W\nc2yFOO58/rrpOd1n9co7EwtuuTmndp1rjF5tO11dLyUW3HJzovrSSYkFt9xs+TlGKhJ0ACNWV9dL\nlg9GuR5QE4lEzolPvs9X6NjyYTXGWOxoXif++b6eXJ4vl+9LoZ+n0J+nl9tOPpxub7ne1412YDVB\n9XJ7yzXJHi6n20Hy81iVz3tQqscqr7a3fJRK29m44cGc3+uRqCyROLNoKQAAAAAAcA1z0AEAAAAA\n8AASdAAAAAAAPIAEHQAAAAAADyBBB+CKlua1huVjAAAAgJGOBB2AK6LRLonH4m6HAQAAAHgGCTpE\nRGTJ84/KkucfdTsMAAAAABixSNABAAAAAPCAs90OAKUrEg6LiEgwFHI5ktL0x1f6JfbWgNth5O3Y\n8XfdDgEA4KRYv5z+43NuR+FZo665yXT78693S//bxwocTXGY+IEJcs2Fk0xva2leW+BokGpO/TxR\nFCVt+5EjR6S/v9/0PtXV1U6HVXRI0OGYSKRTREjQnfLKf70pva8V7xzuE++QoANAKUvE+iXxYpvb\nYXhXhgR9b3+vHDj6eoGDKQ7V51yYMUHftHFDgaNBqmBwmmmC3t/fLz09Pab3IUFPxxB3AAAAAAA8\ngAQdAAAAAOB5ra3bSn46Awk6AAAAAMDTFi6YL02rVrodhuOYgw7HVJrMQQEAAACAXG3esrXke89F\nSNDhoPr6eW6HUJRisZi8+66xgJrf75fRo0cbtp16jyJrw3HixAk5ceKEYdvo0aPF7/ezH/uxH/ux\nnw37+QRWpL5/77570sVovO3d995L22b2/YN7zD6PgYHiXXXIDSToSLPk+UdFROTBa/7F5UhGpkOH\nDkksFjNsq66uTjshGjjJAXw4jhw5IocOHTJs8/v9ae8z+7Ef+7Ef++W3n2+8wILU9+/EqbddjMbb\nTp5MT/TMvn9wj9nncerUKZeiKU5liUQi4XYQcEdyIp7p3/Cux379SlEvs/bM4/fKt2+/lWX4AKBE\nJXr3y+nHmt0Ow7POatxsun39S3tYZi2D6nMulGWfnGF62+WXTS5wNEi1ectW0/O6AwcOZFxmbdas\nWTk9hzbEvXH5itwDLBIUiQMAAAAAwAMY4g7HRMJhERF6SAEAAAAMWyn3nGvoQYdjIpFOiUQ63Q4D\nAAAAAIoCCToAAAAAAB5Agg4AAAAAgAcwBx0oUtdMrZSBk+nrgRaLPzw91u0QAAAOKqv4iIy6abnb\nYRSd2R/9tMx8j6VUzYw7e0zG2zZv2VrASGAmUBMw3X7JJZfIxIkTCxxN8SJBh2MqFcXtEEraBeeN\nczuEYRkzhgE8AFDSxo6TsqrL3Y6i6Fwy4UNuh1CUKErsXePGjZNx44r7vLWQSNAxpOGsiV5fP8/u\ncAAAAACgZNGFBQAAAACAB5CgjzBLnn9U7xUHAAAAAHgHCToAAAAAAB5Agg7HRMJhiYTDbocBAAAA\nAEWBBB2OiUQ6JRLpdDsMAAAAACgKJOgAAAAAAHhAWSKRSLgdBLKLx2MS7Ypa3Dv5Iy0TKUvabNu/\nk54jUSZmHnusVUREbrqp3mLc3lCpKKKwhrvjFi6YLw0NS1i3FAAAADiDddCLhKr2yaaNDw4myVpu\n7PF///W//ioiIkePvpl5fykTSSTy+PeZiwK2/zshM2vrRFFYwx0AAABAYZGgF4lAICCbf77V7TBy\n0tq6TURE6utJdgEAAAAgGxJ0OIbEHAAAAACso0gcAAAAAAAeQIIOAAAAAIAHkKADAAAAAOABJOhw\nTCQclkg47HYYAAAAAFAUSNDhmEikUyKRTrfDAAAAAICiQIIOW+3evVt2797tdhgAAAAAUHRI0JEX\nEnEAAAAAsBfroAMoiDf+dkKe39un/330rQEXowEAOO2vx/4uu/7yn26HkbPZH/20XDLhQ2nbE398\nThKv/N625xl103LbHgsiCxfMdzuEEa9x+QoJBGrStvf29sqhQ4dM73P11Vc7HVbRIUGHZVqP+axZ\nsyxtr1SUwgSGojBw8j3pfS2u/33y5CkXowEAOO3EeyflwNHX3Q4jZzPfO2m6PRHrl0Tv/gJHA6so\nTOy+eEPcdPvx48flyJEjBY6meJGgwzHjxk1wOwQAAAAAKBok6AAAAAAAz4rHY3LrsqUiItKnqrJw\n0WKpr5/nclTOoEgchkQxOAAAAABuam9vk0CgRjZv2So7du6SzRs3uB2SY+hBR0FkmqcOAAAAAEMJ\nBqeJBAf/7fP53Q3GYSTocMzBg6+4HUJRisVi8u677xq2+f1+GT16dFHvF4u9LV5y4sQJOXHihGHb\n6NGjxe/3sx/7sR/7sZ8N+xWrWCwmR94bPEU2e71289rnVgr7wT1mn8fAwPBX7lHOFJ9WVVWaVt8p\nCxctHvZjehUJOhxz8BUS9HwcOnRIYrGYYVt1dXXaAanY9jt6okxEzhKvOHLkSNqSH36/P+11sB/7\nsR/7sV9++8mHz5VidOjQIZGyN0XE/PXazWufWynsB/eYfR6nTtmzck9L81qJRrukoWGJBEMhWx7T\ni8oSiUTC7SDgXclD03P991e+/L9EROSBn/6MIe6Q3tfi8tiv379o88zj98q3b7+1pH9gAWAkO3D0\ndVn/0h63w8jZsk/OkOpzLkzbfvr5xyTxYpttz3NW42bbHgsil1822e0QRrzNW7aantcdOHBAenp6\nTO9jNTdobd0mkXBY7lt//7BiLAb0oAMAAAAAPGt/V1Q62tsMF2L2v3zQxYicQ4IOAAAAAPCspjV3\nS9Oau90OoyBI0OGY8847z+0QAAAAAKBosA46HHPV1UG56upg1v1YZx0AAAAASNBxxu7du/VEOfnf\nTj8XAAAAAGAQQ9wBFETVh33SOP8K/e/oc+NcjAYA4LTqcy6UB6/5F7fDsM2oa24SueYmt8NABqVa\nMKwUVFdXS3V1tdthFA160AEAAAAA8AB60OGYgwdfyb4TAAAAAEBESNDhoIOvkKADAAAAgFUMcQcA\nAAAAwANI0OEpVHcHAAAAMFKRoI8whVxObbi8HBsAAAAA2I056HDMeeed53YIAAAAAFA0SNDhmKuu\nDrodAgAAAAAUjbJEIpFwOwhkF4/HJNoVdTsMm2lfvTLr/y4rO7MpcWZbCm1T2kOk3DfTv6VMKhVF\nFEWx4fVhKAsXzJeGhiUSDIXcDgUAAADwBHrQi4SqqrJp04NuhzEizKytE0WZ53YYAAAAAEYYEvQi\nEQjUyOYtW90OAwAAAADgEKq4wzGRcFgi4bDbYQAAAABAUSBBh2MikU6JRDrdDgMAAAAAigIJOgAA\nAAAAHkCCDgAAAACAB5CgAwAAAADgAVRxh2MqWUscAAAAACwjQYdj6uutrSW+e/dumTVrlsPRAAAA\nAIC3McQdAAAAAAAPoAcdgGVv/O3SKl3BAAAgAElEQVSEPL+3z5bHOvrWgC2PAwBAKTn9/GMib/zV\nvQAuuERGXXOT6U2P/+U/pffY3wsc0PuqJnxIvvDRT5vetnDB/AJHg1SNy1dIIFCTtr23t1cOHTpk\nep+rr77a6bCKDgk6PIXh7t42cPI96X0tbstjnTx5ypbHAQCgpLzxV0n07nft6cuGuK332N/lwNHX\nCxZLLiLhsNshjHjxBvNzxOPHj8uRI0cKHE3xYog7HBMJh/mxBAAAAACL6EGHYyKRThERCYZCLkcC\nAAAAoFjF4zFZeMuXxOf3STwWl4ZFi2VmbZ3bYTmCHnQU3O7du2X37t1uhwEAAACgCLRu3y7BUEg2\nb9kqLevvl9bWbW6H5Bh60OFZzEcHAAAAMLO2Tvx+n4iI7I92ic/ndzki55CgAx7T29srx48fN2y7\n5JJLZNy4cZ7Yr1QcOXJE+vv7DdvGjx8vVVVV7Md+7Md+7Md+ru1XeeK4eOnImxzf8RPHs+ztrHfe\neSdtm9n7DPeYfR7x+PALDCuKIiIiLc1rpaO9TRYuWjzsx/QqhrjDMZWKIpVnGhMAAAAADEfj8hWy\nY+cuaVm3zu1QHFOWSCQSbgeBkUWbf64NX08eyp7p3/CG3tfi8tivX7HlsZ55/F759u23UkQQAIAk\npx9rdneZtarLZdRNy01vW//SHleXWas+50JZ9skZprddftnkAkeDVJu3bDU9rztw4ID09PSY3sfq\nuX7TqpUSDIX0wnBXf+YKeeF3v88/WA9jiDsAAAAAwLPmzJ0rjcuWSjTaJdFol9TPnet2SI4hQQcA\nAAAAeFYgUCM7du6SaFdU5tTP0+eklyISdBRE6rB2AAAAALDK5/OPiKmRFImDYyLhsETCYbfDAAAA\nAICiQIIOx0QinRKJdLodBgAAAAAUBYa4A7Cs6sM+aZx/hS2PFX3OS6u8AgDgDZkqqHtBpgrqXrD/\n5YNuh4AMqqurpbq62u0wigY96AAAAAAAeAAJOoqCVmQOAAAAAEoVQ9zhmMoSXv4AAAAAAOxGgg7H\n1NfPczsEAAAAACgaDHFH0WG4OwAAAIBSRIIOx+zevZtkGgAAAAAsIkEHAAAAAMADmIMOxxw8+Irb\nIQAAAABA0ShLJBIJt4NAdqqqyo7WbW6HkZMXf/c7ERG58jOfcTmS3ASD0yQYCrkdRslbuGC+NDQs\n4b0GAAAAzmCIOwAAAAAAHsAQ9yKhKIo0Ll/hdhg5aWleKyJSdHEDAAAAgBvoQQcAAAAAwAPoQYdj\nKhXF7RAAAAAAoGiQoMMx9fXz3A4BAAAAAIoGQ9wBAAAAAPAAEnQAAAAAADyABB0AAAAAAA8gQceQ\nljz/qCx5/tG87hsJhyUSDtscEQAAAACUJhJ0pBlOUp4sEumUSKTThogAAAAAoPRRxR0Ygf74Sr+8\n8l9vuhrD0bcGXH1+AICzEm/8VRLPP+Z2GJ416qblptsf/8t/Su+xvxc4muJQNeFD8oWPftr0toUL\n5hc4muGbWVs3IlY96u3tlUOHDpnedvXVVxc4Gu8jQQdGoNhbA9L7WtzVGE6ePOXq8wMAHDZwXBK9\n+92Oouj0Hvu7HDj6utthFJ1inFYZCNS4HUJBHD9+XI4cOeJ2GEWDIe4AAAAAAHgACTocU6koUqko\nbocBAAAAoATE4zGZ+bkZRTliwiqGuMMxI2FODQAAAIDCaFm3zu0QHEcPOiyzq7o7AAAAAOSitXWb\n+Py+kh+hSw864DG9vb1y/Phxw7ZLLrlExo0bZ9t+77431saIi9ORI0ekv7/fsG38+PFSVVXFfuzH\nfuzHfjbsV9qn0PZJff+Onzg+xN4j2zvvvJO2zez7V4y81n7t3C8eH35hYlVVJRIOy33r7y/Kiv25\noAcdAAAAAOBZLc1rxe/zS0vzWulTVelobxNVVd0OyxFliUQi4XYQcJ82dP3Ba/7F0r+t0Io3BEMh\nu8PFMD2/t09e7HJ3CZdnHr9Xvn37rXw/AKBEJXr3y+nHmt0Ow7POatxsun39S3tYZi2D6nMulGWf\nnGF62+WXTS5wNMPXsGixNC5f4XYYjjtw4ID09PSY3jZr1ixLjxGNdkk8NtgT39K8dnAN+blzxefz\n2xanVzDEHY6JRDpFhAQdAAAAQP6S14z3bfJJIFBTksm5CAk6AAAAAKBIbN6y1e0QHMUcdAAAAAAA\nPIAEHQAAAAAAD2CIOxxT6msUAgAAAICdSNDhmPr6eW6HgAyumVop10ytdDWG6HPjsu8EAChaZVWX\nZ6xUjswyVSnH0Pa/fNDtEJBBdXW1VFdXux1G0WCIOwAAAAAAHkCCDgAAAACAB5CgIy9Lnn9Uljz/\nqNthAAAAAEDJIEGHYyLhsETCYbfDAAAAAICiQII+gjndCx6JdEok0unY4wMAAABAKSFBBwAAAADA\nA0jQAQAAAADwABJ0AAAAAAA8oCyRSCTcDgLZqaoqO1q3uR1GTl5++YCIiFx2WbXLkeQmGJwmwVDI\n7TBK3sIF86WhYQnvNQAAAHDG2W4HgNJVbIk5AAAAALiJBL1IKIoijctXuB0GAAAAAMAhzEEHAAAA\nAMADSNABAAAAAPAAEnQ4JhIOSyQcdjsMAAAAACgKJOhwTCTSKZFIp9thAAAAAEBRIEEHAAAAAMAD\nSNABAAAAAPAAEnTkZffu3bJ79263wwAAAACAksE66LBMS8hnzZplaf9KRXEyHAAAAAAoKSTocEx9\n/Ty3Q4DLel+Ly2O/fsX0tsN/O1HgaAAAhXTg6Ouy/qU9boeRs2WfnCHV51yYtv30849J4sU2257n\nrMbNtj0WRC6/bLLbIeSsYdFiaVy+wu0wHHfgwAHp6ekxvc1qx99IwhB3AAAAAAA8gB50DFuuQ98B\nAAAAIBdXf+YKCdQEREQkEKgp2dEHJOgAAAAAAM9SVVUCNQHZvGWr26E4jiHuSGNXhfZIOCyRcNiG\niAAAAACMVH2qKj6fX5pWrZSW5rUSj8fcDskxJOgY0nCS9UikUyKRTpsjAgAAADCSxOMxURRF5syd\nKz6fXxbe8iW3Q3IMQ9wBj+nt7ZXjx48btl1yySUybty4otuv97W3zF6iJxw5ckT6+/sN28aPHy9V\nVVXsx37sx37sZ8N+4hsjxUjt7RV57U0RMX+9dvPa51YK+xUjL71/du8Xj8dluGbW1snM2joRGZx/\nXsqdgPSgw1Z2DY8HAAAAABGRTRs3GKbOxmPDT/q9qiyRSCTcDgLeklyVfTj/bmleKyJSshUWkd1Q\n66A/8/i98u3bb5VgKFTgqAAAhcA66ENjHXR7sQ66d9mxDno02iWNy5bKzNo6iUa7ZGZtndTXz7Mz\nTM9giDscU6kobocAAAAAoMgFAjXS8fQeiYTDMqd+niglnGeQoMMx48ZNcDsEAAAAACViJIy8ZA46\nRIS54wAAAADgNhJ0AAAAAAA8gCHuKIjk4nEYOcrHnC1VH/aZ3jZmzFkFjgYAUEjjzh5jWmzN68ad\nbb48XJl/okjV5QWOBlYV49DnkVKvafz48XL++ee7HUbRIEGHYw4eNK/eTbI+clxw3ji56fOfML2t\nbVt5gaMBABTSJRM+JMs+OcPtMGxT9ql/kLJP/YPbYSCDzVu2uh0CMqiqqkpbLx2ZkaCPYE4nygdf\nMU/QAQAAAADpmIMO11GcDgAAAABI0AEAAAAA8AQSdAAAAAAAPIA56HDMeeed53YIAAAAAFA0SNBH\ngORicIWsoH7V1UHHnwMAAAAASgVD3AEAAAAA8AAS9BK1e/fuoqyOXowxAwAAAIAdyhKJRMLtIJCd\nqqqyo3Wb22G4IyEiZYV7umBwmgRDocI94Qi1cMF8aWhYwnsNAAAAnEEPOhzz6quvyquvvjr8Bypg\ncg4AAAAAbqFIXJFQFEUal69wO4yctDSvFREpurgBAAAAwA30oAMAAAAA4AEk6AAAAAAAeAAJOgAA\nAAAAHsAcdDimUlHcDgEAAAAAigYJOhxTXz/P7RAAAAAAoGgwxB0AAAAAAA8gQYdn7d692+0QAAAA\nAKBgSNABAAAAAPAA5qDDMZFwWEREgqGQy5EgX8/v7ZMXu1535LEP/+2EI48LAEAxO/1YsyR697v2\n/GVVl8uom5ab3rb+pT1y4Kgz5wVWVJ9zoSz75AzT2y6/bHKBoxm+hkWLpXH5CrfDcNyBAwekp6fH\n9LZZs2YVOBrvowcdjolEOiUS6XQ7DAAAAAAoCiToAAAAAABPa2leK3NunC0zPzdDWlu3uR2OY0jQ\n4SkUhgMAAACQLBrtkmi0S3bs3CU7du7Sp9KWIuagAwAAAAA8q6O9TYLBadLR3iYiIvetv9/liJxD\nDzocU6koUqkotjwWPesAAADAyLWjdZvek75wwXy3w3EMPehwTH39PLdDKEoHDhyQWCxm2FZdXS1+\nv7/g+w2cnpjXaygGvb29cujQIcM2v98v1dXV7Md+7Md+7Md+ru13aSwmPvGO5Phip2JZ9nbW8RPH\n07aZvc/FyCvfPyf2O3XqlNhhZm2dXvV+zo2zbXlMLyJBBzzmoosukokTjYnxuHHjXNkv+pfSXQrt\n/PPPT3sfRo8ezX7sx37sx37s5+p+4/7yARF382CD5Pie7z0qcvxt12IZM6Y8bZvZ+1yMvPL9c2K/\nvr4+efPNN9P2zUWlokifqup/x+MeaiQ2I0EHPCa1Z9vN/Ub9tc/SfYvRuHHjLB3Q2Y/92I/92I/9\nCrnf6dFjJJH1XoWTHN/o18a4Gsvos9NTF6vvs9d55fvnxH79/f1Z75dNff08mXPjbGmKrRS1r1fm\nlPBIXRJ0uG737t0ya9Ysx/YHAAAAUNy06u2ViiKKTXWuvIgEHY7Rlj8IhkIuRwIAAACg2I2EvIIq\n7nBMJNIpkUin22EAAAAAQFEgQQcAAAAAwAMY4o6C09Y0Zx659/k/WC5VH3ZmsZcxY85y5HEBAChq\nF1wiZS4/fyZVEz5UwEBye/5iHPpcWcLzqJONHz9ezj//fLfDKBok6AAy+tQnJsqnPuHMWuht29KX\nSgEAYKQbdc1NboeQ0Rc++mm3Q8ho85atboeADKqqqqSqqsrtMIoGQ9zhmEpFcfzKoNYbDwAAAADF\njh50OKa+hNcnBAAAAAC70YMOAAAAAIAHkKCjIHbv3s1wdAAAAAAYAgk6AAAAAAAeQIIOx0TCYYmE\nwwV7PnroAQAAABQzEnQ4JhLplEik0+0wAAAAAKAoUMUdjunu7nE7BAAAAAAoGmWJRCLhdhDILhrt\nkpb/1979B8dx3nee/9COTS4lz2QjkvYpaOqykaxIg2wSSY41wyiWaMsArnQr0RJA1l5ZXJMgec4P\nhgLN292sZEE/Nt4VBYilulwsEqRN+zYmQOlku3gGkFQsX/kw492LlNR5WnREymehEWdXUmxNb8wN\nbStzf4A9HADzqx/MdD8z835VsUoC+ovn6R/T09/up7/P2OG4uxHK/GuvSZI2X3NNjaXWSCq28L/D\ntiX19Q8wRVwEdu/aqeHhfUpnMnF3BQAAALACT9DbhOM4Gh7eF3c3Qnn22SlJ0n33DdVYqqjFBNmW\n/5Z6HKfWagEAAABAS5Cgt4lEItl2Txq9hXlJart+AwAAAEAcSNDRMgwTBwAAAIDGUcUdAAAAAAAL\nkKADAAAAAGABEnQAAAAAACxAgo6WyWWzymWzcXcDAAAAANoCCXoX2/fNP9a+b/5xy/5+LjenXG6u\nZX8fAAAAADoJCToAAAAAABYgQQcAAAAAwALMg95lgiHtz9z2z2PuCcJ49k9e0fzf+HF3o6le/9sL\ncXcBANBCxfmX9Q/PjsXdDWu9c+R4xZ8f+fbXdfat/xxxb9rDDT/7Ph345a1xd6Plctmsdu/aGXc3\nQjt+4qTSmcyKn589e1avvvpqxZi77rqr1d1qOyToaJkex4m7CwAAAADQNkjQ0TJDQzvi7gIAAACA\nNjc1dUqzM9Ol/3fzro5/7vNKpXpj7FVrkKADAAAAAKw1NLSj9PDPdfM6PTnZkcm5RIIOAAAAAGgT\n42OH9dSRp+PuRstQxR0AAAAAYL2pqVNKpXqVSCTj7krL8AQdklpT3T2XzUpSxWqOqO7s2bMqFApL\nfvb2T98TU2861/z8vL7//e8v+VkymdQNN9zAcizHcizHck1Y7peuEBqwfPsV3i7UWLq7/ejCj1b8\nzLbjvhnLnf3O2RXr2S4qre/bb7/dtL9//NhRnX7u+ab9PRuRoKNlcrk5SSToYV199dXauHHjkp95\nf/5mTL3pXBs2bND69euX/Oxd73oXy7Ecy7EcyzVrucJfr1gWKy3fft+cf0v60X+LsUf2eve71674\nmXXHfROWe+uHP1zx+3ZRaX0XFhb0wyask+vmdWOHPz2XSNAB6ySTK086a97xgxh60tnWr1+/4guE\n5ViO5ViO5Zq3XJEEvSHLt9+7/ubdMfbGbu/6mZWpi23HfTOWq3Qt2C4qre8bb7zRlL89OzPdsYXh\nypGgAwAAAACsNnLwUNxdiARF4gAAAAAAsABP0NEyPY4TdxcAAAAAoG2QoKNlhoZ2xN0FAAAAAGgb\nJOhAG3jvVfWLi7Sbd7/7nXF3AQDQSmuv0JrNN8bdi7az+cqfi7sL1uqWbZNIJtpyFqREMlHx51dc\ncYU2bNgQcW/aFwk60AZuu7kn7i403fSplVOlAAA6x5r3XqM19x2Muxtt52O/8KtxdwExS6V6dfzE\nybi70TSbN2/W5s2b4+5G26BIXBfY980/1r5v/nHLlgcAAAAArB4JOloml80ql83G3Q0AAAAAaAsk\n6GiZXG5Oudxc3N0AAAAAgLZAgg4AAAAAgAVI0AEAAAAAsAAJOgAAAAAAFmCatQ4VVGF/5rZ/Hlsf\nehwntrYBAAAAoN2QoKNlhoZ2xN0FAAAAAGgba4rFYjHuTqA+181rfOxw3N1ogTWSihb9t9TXP8DN\nhQjs3rVTw8P7lM5k4u4KAAAAYAWeoLcJx3E0PLwv7m40nw05+dL8nKH5AAAAAGJBgt4mEokkTxoB\nAAAAoINRxR0tk8tmlctm4+4GAAAAALQFEnS0TC43p1xuLu5uAAAAAEBbIEEHAAAAAMACJOgAAAAA\nAFiABB0AAAAAAAtQxR2rdubMGUnSXXfdteTnTFcGAAAAAI0jQUdTlSfrQ0M7Yu4NAAAAALQPEnQA\nkfkvf3tBF3/8U0nSj3/8DzH3BgDQShd++mO99nc/iLsboV1z5c9p/c+8e+UvCm+oWHijae2s2Xxj\n0/4WOovvF+Tm3bi7EVqqN6VEIrni5xcuXNCFCxcqxmzYsKHV3Wo7JOhomWpD39G9vvnigub/xpck\nvfVf/z7m3gAAWum1v/uBjnz763F3I7QDv7xVN/zs+1b8/B/+3/9Lxf9numntvHPkeNP+FjqLm3e1\ne9fOuLsR2vETJ5XOZFb8/LXXXtOrr75aMYY8YSWKxMHImTNnSgk4AAAAAGD1eIKOhoV9In7u3Cut\n7A4AAACALhGMKvALvob37FVf/0DMPWoNEnS0zLlXLifoDHcHAAAAYCKXzSqV6tXIwUPy/YIeOLCf\nBB3dicQaAAAAQJwSyYRcNy/P85TLzVUsRtcpSNAROZJ+AAAAAI1yHEd+wdfoww9qwfO0e8/euLvU\nMiTogGXOnj2rQqGw5Gc33HCDkslk2y/39k/fI1vMz8/r+9///pKfJZNJ3XDDDSzHcizHcizXhOX0\n3/1jtaOzZ8+qsOZ7kiqvb7PZtt9YLv7lzn7nrNpVpfV9++23V/13J44d1eD27Roa2iFJ6rtza+m/\nOw0JOlrmqquuirsLbenqq6/Wxo0bl/xs/fr1HbGc9+dvrlguLhs2bFjR73e9610sx3Isx3Is16Tl\nvl/8byuWbQdXX321rr1i8Rqm0vo2m237jeXiX+6tH/5wxe/bRaX1XVhY0A/beJ2iRoKOlvngrem4\nu9CWlj+J7qTl1rzjBw3FRmH9+vUVbyywHMuxHMuxXHOW+/5b7ZmgJ5NJbfjZDZG1Z9t+Y7n4l2v0\nWstGldb3jTfeWPXfHRzaoeFdO7XgeXLdfMcWiJNI0HFJ+XvhvCMOAAAAwBaO42j2T7+uXDarwaEd\nchwn7i61DAk6AAAAAMB66Uwm7i603Dvi7gAAAAAAACBBRwudO/eKzp17pe5ywZB6AAAAAOhmDHFH\ny5x7pX5yju7y/v/+H+u9Vy0WDvmPX2t9ZVwAQHw2rrtSfT03xt2N0Dauu7Liz9dc037rgvbU4zga\nbsN5vnuqvBe+fFYf1EaCDiAy//T9l0/Qn7+CBB0AOtmGdVfqY7/wq3F3o2nWbL5RazaTpKP1HMfR\nyMFDcXejaTZs2KANG6KbGaHdMcQdAAAAAAALkKDDKryPDgAAAKBbkaCjZa666ipdddVVxvEk6wAA\nAAC6Ce+gd7EgAb7rrrta8vc/eGu6JX8XAAAAADoRT9C7zJkzZ3gyDQAAAAAWIkEHAAAAAMACJOhd\ngKfmAAAAAGA/EvQOZUNSfu7cKzp37pWm/K241wUAAAAAWm1NsVgsxt0J1Oe6eY2PHY67G6HMv/aa\nJGnzNdfUWGqNpGIT/rsRjf2dvv4BDQ3tCPF3YWL3rp0aHt6ndCYTd1cAAAAAK1DFvU04jqPh4X1x\ndyOUZ5+dkiTdd99Q9YWalZ83Mc/vcZxaqwUAAAAALUGC3iYSiWTbPWnM5eYkqe36DQAAAABx4B10\nAAAAAAAswBN0tAxDxQEAAACgcSToaBkKrQEAAABA4xjiDgAAAACABUjQAQAAAACwAAk6WubMmTM6\nc+ZM3N0AAAAAgLbAO+homXPnXom7CwAAAADQNkjQ0TLnXiFBh/T3P35br//tj1b8/Mc//ocYegMA\ngN2K/+U16eLK783IrL1Ca957TcVfvfZ3P9CFn/444g5dtv5n3q1rrvy52NqPiu8X5ObduLsRWqo3\npUQiueLnFy5c0IULFyrGbNiwodXdajsk6IhEMNT9rrvuirkniNrrf/sjPfsnK2/WvPVf/z6G3gAA\nYLfiN59Vcf7l2Npfs/lGrbnvYMXfPf///aXOvvWfI+7RZTf87Pt04Je3xtZ+VNy8q927dsbdjdCO\nnzipdCaz4uevvfaaXn311Yox5AYr8Q46Ise76QAAAACwEk/QAQAAAADW8v2CHjiwf/G/C75GH31M\nqVRvzL1qDRJ0tMxVV10VdxcAAAAAtLmpyUmlUr0aOXhIvl/Q4L3bNPunX4+7Wy1Bgo6W+eCt6bi7\nAAAAAKDN+X6h9MQ8kUjK87yYe9Q6JOgAAAAAAGulUr2aOHZUiURSudxcxWrxnYIEHU1FtfbV+9a3\nvqU333xzyc9uvfXWFdNQtMtyF37ybkn2TYly9uzZFRVFN2zYoFtvvZXlWI7lWI7lWC625X79zTdl\n00uC5f1784oLsWYPBb+w4me27LdmLnfuXPtOVVxpfdevX7/qv9vXP1BKzlOpXiWT06v+m7ZaUywW\ni3F3Ap2jPEFv5L+DGBL6zjX/N37FadZe+D/+vX7/Xz5QcToOAAC61T88Oxb7NGvvqDLN2pFvf51p\n1iKQy2Y7apq1Skl7oNEcYHZmWgW/oKGhHfI8TyMH9uv0c8+vqr+24gk6Wqad7/4BAAAAsEM6k9Hg\nvdu04HnKZbMaffSxuLvUMiToaJlzr5CgAwAAAFidRCKp0889LzfvanjPXt5BBwAAAAAgLolEsite\njXxH3B0AAAAAAAAk6GiCM2fOlAq/AQAAAADMMMQdLXPVVTZNEoK4JK9cqw/0vm/Fz//j194VQ28A\nALDbmvffIr33mvjaT26s+rubN27W5ivjmzp14z+6Mra2o9TjOBreszfuboTW4zgVf75xY/VjCiuR\noKNlPnhrOu4uwALJ96zVbTf3rPj5568gQQcAYLk1//RDWhN3J6q47X3Xxt2FruA4jkYOHoq7G02z\nYcMGbdiwIe5utA2GuMMqDJUHAAAA0K1I0AEAAAAAsAAJOoBYpFK9SiQTcXcDAAAAsAbvoKNlzp17\nJe4uwGKd9G4VAAAA0Awk6DASvCt+1113VV3m3Csk6AAAAADQKIa4w1oUjAMAAADQTUjQ0bAzZ86Q\nNAMAAABAi5Cgoy1wYwAAAABAp1tTLBaLcXcC9f27z/yBvnDyc3F3oyv8xm/cpqMTJ2Jp2/M8ffJ/\n3qPvvvpqLO1H6Z/84i/qjz57TI7jxN0VAAAAwAoUiWsT5879lY6fOKl0JhN3Vxo2PnZYUntV685l\ns5qYeCa29hc8T+9973t15v+cia0PUdm9a6cWPI8EHQAAALiEIe4AAAAAAFiABB0AAAAAAAuQoAMA\nAAAAYAESdAAAAAAALECRuDbR1z+gnjYrppVOb4m7C6H1OI76+ge6tv0oteMxDQAAALQS06wBAAAA\nAGABhrgDAAAAAGABEnQAAAAAACxAgg4AAAAAgAVI0AEAAAAAsAAJOgAAAAAAFiBBBwAAAADAAiTo\nAAAAAABYgAQdAAAAAAALkKADAAAAAGABEnQAAAAAACzwztHR0dG4OwEAUfI8T6enJvWNb3xdrutq\n46ZNSiaTXRMz+umHdPHiRV177XU1/+5qY6Lqm0k7YWM6bf1t3c5R9q3TPge2ro/N68L+tPtcYHNM\nLpvVgudV/JdMJrR27bpVt9Npx6fvF/TFL3xBX/3Kl/XSSy+qx9lcd790KxJ0AF1lauqUHnn4ITmO\nI0m6ePGinho7rLXr1iqV6u2KmNffeF3feOEFjX76IS14njZu2qRNmzZVXHY1MVH1LYrt1mnrb+t2\ntn0bdFrfolgfm9eF/Wn3ucDmmMF7t2lhYV4vvfSivviFL+hlNy/35by++pUvK5X65dLfWk07nXZ8\n/tYn9ynV26ubbrpFWiM98vBDuv2OrSTplRQBoEsUCm8VP/qRO4qFwlsrfrfrE/cX5+fnOz5m+TKT\nk18qHvi93y1+9CN3FMeefKLi3zKJiapvUW+3Tlj/qNqxuW8m7XRa36JeH9vWxSSm0/anSYzN329R\nnqd2feL+Jf+dnZsrFovF4vDSOC8AACAASURBVNiTT5T+uxntBL9v9+MzOzdXHHvyiSU/G3vyieLk\n5Jdq/v1uxTvoALqGm3eVTm9RIrHybm0q1avZmemOj1luaGiHHnn0MQ0O7dDU5KTcvNuUmKj6Fsd2\na/f1j6odm/tm0k6n9S2O9bFpXUxiOm1/msTY/P0W13mqEZ30vWMS0+M4ymWz8v1C6Wee51V9qt/t\nSNABdI1EMiFvYb7q7ysNSeu0mIDvF+QXfD1wYL8++pEPa8HzdPxzn1c6k2lKTFR9i3K7dcr6R9WO\nzX0zaafT+hbl+ti4LlGuv63rYxJj8/dblOepBc8r/bdf8OW6efl+Qa6bVyKZaFo7nXJ8Oo6jwe3b\nNXjvNu3etVN9d26V4zgk6NXE/QgfAKK06xP3F8eefKKYz3+79LOxJ58o3vexe6oO5eq0mAO/97vF\nD37g5uLDDz1YnJn+WsVlmhETVd+i2G6dtv62buco+9ZpnwNb18fmdWF/2n0usDlm7Mknih/9yB3F\n+z52T3HsySeKY08+UfzgB25eMYx7Ne102vE5Pz9fzM7NLflXbwh9t6JIHICucscdW3X+/Hm97OaV\nzmyRJLmuq9//Nw9WHBbWiTG+X9Dwnr3K5bL6Z3dva6hAi0mMSd++c/asbk2nNfKpQ3r1/Hm98fob\nklSzvSi22/xr39N173+/1q5bq7vvuUfnz5/Xq+fP13wiYbpvnjrytG6/Y+uS6rhTU6eqPmkwbSed\nyejixYt6443XlctllUgmaxb5ier4jOoYMNmnUR0HUfUtiuPA9wvq7x+Q7xdKbfi+X7P6s80xzfxc\n12JyLjDZn1GdczotJp3Zotvv2Kp0JqO7796mdGaLhvfsLcU3o52ovndN2vnO2bPq6enR6KOP6dpr\nrytVjr/2umsrVrD3PE/Du3Zq7bq1WljwSv9+8drrKBJXAUPcAXQV79I0KCMHD5X+v55EIql0JiPP\n80rLD+/ZW/XLzjTGpG8mMUNDO+QXfCUTSY2PHdbU1KmWxJj0bfprZ0oXha6b19TUKY0+/KBu/fVb\nmtpOIpHU8J69pRip9v557tnT6nEc9TiOdn/iX2h87LByuTnt3rWzZr8kaeTgIc3OTCuXzaqvf6Dm\nMbDgeXLd/Iqf13p3MJFIlpKw8bHDGh87LMdxarZzenKyNERzdmZaiUv7dXzscM12wmyzICbs58Dk\nGDDpm8k+jeo4iKpvJsfBxLGjSiQTpW2dy2YrDuktbyOXzarHcUrvx+ayWY1++qG2jDHZn0NDO1b8\nrNZ+kczOBSb706SdsMdAJ8ZIWjFEu94+DduOyfeuybkwbDu+X9D0184sGcqeTCbk+wU9cGB/xZgF\nz1Nf/4BGDh5a8q/WDcRuRoIOoGv4fkEjB/aH+lIpxYb8kgwbY9K31ayPtPi+2lNHntaC52n00w8t\nKd6y2hiTvgUXukFMX/+Akomkjp84qVRvqmntVFPt4iro19DQDg0N7Shtg/ILoEpGDuw3SjQnjh1V\n351bGz7OBu/dFirJyGWzSmcypQukvv4BOY6j4ydOKpfNNtRmoN4FqRTuc2ByDJj0zWSfRnUcRNU3\n0+Ng4thR5bLZJUnfgudV/LwFbYw++piGhnYoncloeM9ejT76WMWk0PYYyexzHSTJ5f9y2WzNz0PY\nc4Hp/jQ554Q5Bjo1xmSfmrQjmX1Xl2vkPB2mHTfvqq9/QH39A5IWt0Uikax5vklnMvILfkM30EGC\nDqCLmHyplGtlQmvSN9P12b1rp8bHDmt2Zlq7d+2U6+aVy81p8N5tTYsx6VuP4yy5MG7kKYbpNghz\ncbW8Xwuep5mZ6VKBnEpME83hPXv11JGndfq557XgeaVtXY1JkrF8fQL1jmeTC9JAo58Dk2PApG8m\n+zSq4yCqvpkeB5L01JGn5bp5eZ5XSgqrtZHLZldclHueV/MYsDWmmTeQhvfsXVJorNLvw5wLTPdn\n2HYCjR4DnRyzXL19GrYdk+9qk/N02HbKjzXfL2h2ZlqzM9OLn50q5xtJ8hbmNfrwg9q9a2fpXyPH\nWjf6mbg7AABR6XEcuRNLv1RSqV7dmOqt+aWye9dO+QW/VKFVWrwAHrx3TrN/+vWmxJj0zXR9hof3\nyXXzpSFnjQgbY9I3x3HU1z+w5KLg+Oc+L0lV34U03QaVVLu4CoYx9t25VZK0e89e5bJZzc5Ma3jP\n3rr9khpPNAPBTQbfL2ji2NGqU930OI5yY1l5Q96SoYK1kgzn0pP2vju3KpFIloZcPnBgvwa3b2+4\nj1L9C9KwnwOTY8Ckbyb7NKrjIKq+rfY4GB7ep9GHH9TxEyfl+4Wqn53hPXs1cmC/fL+wuD3yrlK9\nKY0febpqv2yNMf1cmyR7gUbPBavdn422U66RY6BTY1azTxttx+S7uuLfqXczKGQ7wbF266/fomQy\nod179mpmZlpTU6eqnm8k6fiJk0b970ZrisViMe5OAEBUJo4d1cSxo6UvlWBezqGhHVW/mHLZbNUv\nr2pTkJjEmPTNJEZaTGYLBT/U+19hY0z7FlZU7TTK8xaT5ampUzo9OVn6+fHPfb70TmjYizvXzVdN\nUGdnpjVx7OiKJGPk4KHYp7Ax+Rx0mmYeBza48Zeu08vfOSdpcd2OHzsqafGmQKV3rTtN3Puz1rkg\nqnZMjoFOizFh0o7Jd7WJKNpx3fySG+e53Jx6Lt1cjPu7yjYk6BYb/fRDpXkVx488veTgLX+/csHz\nYv9irNXXRn4fh3p9avU2DoYd+X6h6t+2cbuZsOn48P1CaZji7Mz04pyliaSGtm+vWUQl7JeX6+b1\nH774RX3yt39HjuPI8zzNzkzXbaeSqalTNY+9qalTS+6O9/UP1NyGJttgsULr4hC54T17S0PZ6iVZ\nwd8PpFK9NZNm180rl81qeM/eUpGjHsextpBMpX3Tigv1eseA6+Y1cexoS4vujI8dVo/jlPqRy2bl\nLcyrv0aBLN8v6M/+7M90yy0f0MtuvqFjzfQzGnYbuG5epycnNfroY5LU0GfUZBuYMlmfsJ8dk5iw\n5wLTz3TY9Y9q35gcN6bHdNjzZzW1zh8m2810n4b9rjJZn6B/URw7zdo/zeyX6bEWVtjPgevmNXJg\nv3rK9seC55UKibbjzcpW4h10SwXVM08/97wmTpxcUYFz5tIwzuMnTur0c8+X7sLFoV5f6/0+Do30\nqZXb2L10oXr6ued1+rnnKxZwsXG7mbDp+PD9ggbv3abCpS+wiWNHlUr1NlRQrLxStlS76EpQuOxD\nt99eimmkcNn42OHQ1XQH790Wqmqv6TYY3rUzdIXosMXLJLMCTJU0WhSn0RiTfWPCtB2TIobLNVKB\nOEyBo+BY+8lPfqwFz2voWFvNZ7TVRRkl8yJPyzW7uJ5k9tkxiQl7LjD9TIdd/yj2jWkxT5Nj2uT8\naXL+MNluJvs07HeV6fpI0Rw7JvunklrHm+k51+T8GaZfYT8HrpvXq+fP67d/5/Jxk0r16rd/Z7/G\nGyi02Y14B91Srpsv3WVyLg1ZLJdOb5HSi//d7Lv2YdXra73fx6GRPrVyG8/OTCud3lL6knmqwvtu\nNm43EzYdH0FBsaGhHaWnnOlMRn39A3WTs+WCoiuV7uJXKlwWVNat1U5QTfdlN9/QiI3yqr2Bxfcq\nTy6+w3twZYzJNiivEC0tHr9PHXlaiUSyZszyvgVf5tUKz1QqwHR6clJPHXm6qfvHJCbsvjG1mnYS\nyYRGH31M42OHNfrphzTyqU/VfBK8XL1tJqm0L4ICR+lMpuq+MTnWTD+jYbeB6Wc07DYI/vZyjWzr\nMOtj8tlZTUyj5wLTz3TY9Q+0et+YHDem59yw50/J/PwRZruZHjdhv6tWsz5Sa48d0/1jci5o9TnX\npF9hPwejn35IIwcPLRaI27NX6fQW+X5BU1On9Gs33Vy1X92MJ+gWKx/2s7w6qHNpKJF3qeLm7hpF\nGaJQq6+N/D4O9frU6m18eupU6Ul6tROnjdvNhC3HR6o3Varam0r1Kpebk6SGC8iUq1V0xbTCaRRV\ne022gWmFaJOqyiYVvCtppJpumBjTSsdhmbRjUum3WtthCilJtY8bk2PN9DMaVRXisNuganwDxfVM\n10dq7LPTjJh65wLTz/RqjulW7huT48b0nBv2/Bn03fQ81eh2a8ZxE2hFhfkojh3T/VOxzQbOu608\n55r0K8znILiZIal08yC4aZBK9eplqrhXxBN0S+Sy2VKxhOBulbcwr7QWD+pKH5Jg6M/w8L7Yi+3U\n62u938ehkT61chv39Q+U7r5W++KwcbuZsOX4SCSSGn30sVLV3kLBLw0Bq1a1VwpfrdW0wml5P1tR\ntTcoXhZmGwQxJhWiw1RIDtoxqeBtMjyu0ZigXwGTSsetbidMBd6gndUMKUxnMvIW5pccD5WE/byZ\nHJ8Bk20Q5jO6fP80ug2kcMdn0I7J+oT57Jh+3sKcC1bTL5P1DzSyb0w/B6bHjcnnwOT8GWjk/GF6\nTJseN1FVmF9N5fMw2yDsDACS+fdOq8+5JueoRj8H6UxG42OHNbxnr6amTpXiPc+T6+Y12AWFJY0U\nYaWZ6a8VH37owWKxWCzOz88X7/vYPUt+Pzn5peKB3/vdOLq2Qr2+1vt9HBrpUyu38eTkl4pjTz5R\n+v+PfuQOoz62A1uOj/n5+baNyee/3ZR2yo+5VsZE1bco9k+9flXaN5OTXwrVhmk75etSKLzV0LrZ\nup2LxdX3rZXbII7PQbuvz2r71e7rb9pOK2IqnT9sPhes9jux0WPHpG+BsSefWHKuz87NFScnv1Qs\nFN5adTuddnzOTH+tuOsT9xc/+IGbizdcf+2Sf9m5udB/rxswxN1Sff0Dct384nsdB/Zr+NJd6ht/\n6TpJ0st5V7Mz07rxl64r/bOpr5JK/a32+zjV67PU2m08NLSjVExk966dpTuI5e3buN1M1DuWo1rP\n0waFs2yJqfRUwqSdqETVt6j2Ty2V9k1pFJTnaXzscGnI5fLhkKttp3xdlhcxbCYbtnMj7bRyG5hY\n7TbotPUJq9vXv5maNTNKu3wnNnrsrGafhingFsWxY/Px2dc/oOMnTupb/+nP9fJ3zi35F/cIYFsx\nxN1iQXXvwaEdpRNNMH/i6KOPlaY2sEGlvqYzmVJ/K/0+bvX63OptHLRfPjVJefvV+tiOah3L1X4P\ntLuRS8M3g4I4IwcWK9ZyjANA+wtblLDbVZqxKNWbir3YtY1I0C3XTneW6vXVxnWJu0+NtB93H5ul\nHY8PwFRQGKe8Am5QrMhxeOcOADpBUMDt+ImTRsXYuklQtE5anArPdfMavzQLBJYiQQcAoMlSvanF\nYe1DlwvieAZFiwAA9gpTMLLbLS9GNz52WAvLCuJhEQk6AHSJHoMvQZMYE1G1E5ZpvxKJpIb37NXp\nqVMaOXhIudyc+i9NK9PMdsKydTtLdm+DTutbFOtj87qwP+0+F9gsqEJe/pre0NCOUHO019Npx2fA\n9wuampzUgucpkUzott/8kK6//nrjv9fJSNABdIXgS8V180vm6QymN0ylelckT50WE1xAtDomqr6t\nZrt5nqfTU6fkunmlUr1V6x+UF3xrZPly6UxGnudp9NMPKZFMKD20peqyJu2EXZfydla7zZyezerr\nH6j6aopJTKVt0Ox2PM/TwqXifZVU2namMd85ezaSdmxcH9vXJWyMtLrPm0lMtf5V6mMUMabHdBQx\n0uX9szwJbOQcGiYmuOkaRth2gn0T5p3toI0wMSbtmMQEHjiwX339A+pLDchbmNeDv/+vNHHiJEPc\nK3jn6OjoaNydAIBWS6V65bp5jRzYr/OvntNLL72ol156UX/x0ot69fx5Xbx4UenMlo6OkRRJTFR9\nM91ukjS8618oncnojts/rGQyqc/8weNKZ7Yomax8oRB2eUn6rU/uU6q3VzfddIu0Rnrk4Yd0+x1b\na8aEacd0XUy2me8X9PH/aYduv2Or7rj9w9q0aZM+8wePV10fkxhJLW9nzRpp7dp1cpzNOj01ueTi\n2HXzuvuee7R27bqmxPz8zzuRtGPj+ti+LmFjJPPPm2nM+NiTK/t29zY5zmY5m52KfWxljOkxHUWM\ndHn/hDnvmsTkctmK31+1mLQjLd4MWFjwtLDg6WXX1Ve/8uW66xImxqQd05hcNquLFy9qeM8+OZdu\nBr/xxuvy/ULTZhnoKHHP8wYAUZmfn18x52Z2bq7m/KHEdF5Mdm5uxVyuy+e0Xc3ytsdEsc1sj8nn\nv118+KEHV8TMTH+NmCbG2Nov0xiOT7tjotg/JvOAm/ZtuWNHn6k4B3w7xMzPzxfv+9g9S+aJP/B7\nvxu6nW7BPOgAuoZTNgQs+CdJyWSCmC6KSfWmlMtmS/OSBwXcqt3FD7u8tDjcMJfNyvcLpZ/VizFp\nxyTGcZxS/0y3me8X5Bd8pdPVnyTZHCNJ3sL80v9voPoyMeFjbO2XSUxUn9FEIhm6b1HFSPbuH5Pz\nrkmMiWa04/sFuW4+VLu2xDiOo8Ht2zV47zbt3rVTfXduLT1Jx0q8gw6gq5hM80FMZ8WELeAWdnlp\n6cVIj+No4VIF93oX5WHbMYnxPE/Du3auqCjf4zg1t5nvF0qVigNTU6ckScdPnFzxzrfNMcG79n13\nblWP48gv+Iv/X6PKPjHhY2ztl2lMVJ/RIHEp71simajZt6hibN4/JuddkxgTJu0sn1M9OJZqsTmm\n2cX0OtmaYrFYjLsTABCX8bHDSqe3hJqHnZj2jwlTFMhkealyEZ1AtWI6Ju2Ejclls8rl5kIXOopK\nUMSrXL3iQyZ8v6AvfuGkvvvd7+rqq6/Wnr376rZhEhPEuXlXPY7T0JRCUfUtivWZnZnWSy+9qF/4\nhX+iX/mVX9WV73lPW8dUK44VVPeutP1MYjzP0yt/9R1973vf08aNG7Vx46a6n4OoYqTwx3SUMa00\nNXVKQ0M7jM7VjfD9gmZmplcksq6b1+zMdNNuHpi0s9q+RXVu7wQ8QQfQ1QaHdtQc2tuJMcsvFq+9\n9jo5mzcvVsBu8AKzkZio+mbSzvJqssO7dmrixMmqF1hhl5eWPtlfrtrTapN2wsakMxnNzkyXkoNG\nmVxchY0xebpv2rdgu33jhRf0wVtv1eC923T6ueebHhNcyPt+QQk3qaHt2+sex1H1rdXr43meJo4d\n1fCevcpls9ryG7dp9OEHNfrI41WPPZtjpMqf6x7HkevmlUgkK58/Q8Ys/xwUCm/p/PlzNT8HUcVI\n0dxINI0JU8neJCZITk3O1Y20Uyj4On7saCnRnZ2ZVi6bVSrVq3QmU/HvmyTOJu2YxARMz+3digQd\nQFep9CQjmUyFSk7bPqbCxeKv3XRz6AvMujFR9S1kO8EFRXAxk1ZGC56nXG5OjrNy+F3Y5QNhn1Cb\ntGPaN29hXqMPP7iiv9WefphcXJnEBMM+w2w7k3bKt9vspQvbBc9TLputOoTWJEa6fCE/OzNdGuJa\nKwmOqm9RrI/vF5TOZNTXP6CpqVOlIdW1jk+bY6Tqn+taMX39AyumNczl5pRK9VZMakw+B1HFSNHc\nSDSNyWWzS0ZPuW5ew8P7JFWvsxE2xvS820g7juNo9JHHNXHsqGZnppXOZDR+5Oma62ySOJu0YxIT\nMD3WuhUJOoCuEsXTD1tjgrmvB4d2VJyTt9KFhUnMatYnmDqtr3+g9DSh2e30OI5yY1n5ewql33mX\nLh4qCbt8IOxTXZN2TPsWXBSWq3WRFdXFv8nTfZN2ehxH7sTSgkae59UsLGcSY5IER9W3KNY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style=\"fill:rgb(89.8%,76.9%,58%);fill-opacity:1.0;opacity:1.0;stroke:rgb(89.8%,76.9%,58%);stroke-opacity:1.0\"><circle cx=\"197.32463779563031\" cy=\"417.49985460889792\" r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(89.8%,76.9%,58%);fill-opacity:1.0;opacity:1.0;stroke:rgb(89.8%,76.9%,58%);stroke-opacity:1.0\"><circle cx=\"197.32463779563031\" cy=\"411.56440825821454\" r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(89.8%,76.9%,58%);fill-opacity:1.0;opacity:1.0;stroke:rgb(89.8%,76.9%,58%);stroke-opacity:1.0\"><circle cx=\"229.24882445103515\" cy=\"417.49985460889792\" r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(89.8%,76.9%,58%);fill-opacity:1.0;opacity:1.0;stroke:rgb(89.8%,76.9%,58%);stroke-opacity:1.0\"><circle cx=\"229.24882445103515\" cy=\"411.56440825821454\" r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(89.8%,76.9%,58%);fill-opacity:1.0;opacity:1.0;stroke:rgb(89.8%,76.9%,58%);stroke-opacity:1.0\"><circle cx=\"287.7764999859441\" cy=\"417.49985460889792\" r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(89.8%,76.9%,58%);fill-opacity:1.0;opacity:1.0;stroke:rgb(89.8%,76.9%,58%);stroke-opacity:1.0\"><circle cx=\"287.7764999859441\" cy=\"411.56440825821454\" r=\"0.0\"></circle></g></g></g><g class=\"toyplot-mark-Text\" id=\"tcc84db10dd364b1f847f0850fe6e7cb2\" style=\"-toyplot-anchor-shift:0;alignment-baseline:middle;font-size:10px;font-weight:normal;stroke:none;text-anchor:middle\"><g class=\"toyplot-Series\"><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:10px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:middle\" transform=\"translate(106.87277560531649,445.48124454783363)\"><tspan style=\"dominant-baseline:inherit\">-0.2</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:10px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:middle\" transform=\"translate(152.0987067004734,445.48124454783363)\"><tspan style=\"dominant-baseline:inherit\">0.0</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:10px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:middle\" transform=\"translate(197.32463779563031,445.48124454783363)\"><tspan style=\"dominant-baseline:inherit\">0.2</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:10px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:middle\" transform=\"translate(229.24882445103515,445.48124454783363)\"><tspan style=\"dominant-baseline:inherit\">6.0</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:10px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:middle\" transform=\"translate(287.7764999859441,445.48124454783363)\"><tspan style=\"dominant-baseline:inherit\">0.0</tspan></text></g></g><g class=\"toyplot-mark-Text\" id=\"t51d0ad83d3774812b7b538ce6cf8773a\" style=\"-toyplot-anchor-shift:0;alignment-baseline:middle;font-size:10px;font-weight:normal;stroke:none;text-anchor:middle\"><g class=\"toyplot-Series\"><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:10px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:middle\" transform=\"translate(106.87277560531649,479.39808083745271)\"><tspan style=\"dominant-baseline:inherit\">BABA</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:10px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:middle\" transform=\"translate(197.32463779563031,479.39808083745271)\"><tspan style=\"dominant-baseline:inherit\">ABBA</tspan></text></g></g><g class=\"toyplot-mark-Text\" id=\"t5b6c58646f6345a783520bea67f9d625\" style=\"-toyplot-anchor-shift:0;alignment-baseline:middle;font-size:10px;font-weight:normal;stroke:none;text-anchor:middle\"><g class=\"toyplot-Series\"><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:10px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:middle\" transform=\"translate(152.0987067004734,89.354463506833298)\"><tspan style=\"dominant-baseline:inherit\">Bootstrap D-statistics</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:10px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:middle\" transform=\"translate(258.51266221848965,89.354463506833298)\"><tspan style=\"dominant-baseline:inherit\">Z-scores</tspan></text></g></g><g class=\"toyplot-mark-Text\" id=\"t1cca2b60404a4ca0848e9c622f98fe4e\" style=\"-toyplot-anchor-shift:0;alignment-baseline:middle;font-size:10px;font-weight:normal;stroke:none;text-anchor:start\"><g class=\"toyplot-Series\"><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:10px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(707.83669460979729,428.52282640302417)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A01_paraensis</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:10px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(694.89882767751567,428.52282640302417)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A02_paraensis</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:10px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(681.96096074523416,428.52282640302417)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A04_paraensis</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:10px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(669.02309381295265,428.52282640302417)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A05_paraensis</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:10px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(733.71242847436065,428.52282640302417)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A19_citrifolia</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:10px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(914.84256552630313,428.52282640302417)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A33_nymphaeifolia</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:10px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(901.90469859402151,428.52282640302417)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A41_nymphaeifolia</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:10px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(876.02896472945827,428.52282640302417)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A42_nymphaeifolia</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:10px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(397.32788823503859,428.52282640302417)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A48_trigonata</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:10px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(384.39002130275702,428.52282640302417)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A49_trigonata</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:10px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(423.20362209960183,428.52282640302417)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A55_triangle</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:10px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(552.58229142241805,428.52282640302417)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A59_dugandii</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:10px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(513.76869062557319,428.52282640302417)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A61_turbinata</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:10px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(643.14735994838929,428.52282640302417)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A65_pertusa</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:10px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(759.58816233892378,428.52282640302417)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A67_bullenei</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:10px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(746.65029540664216,428.52282640302417)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A70_bullenei</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:10px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(772.52602927120552,428.52282640302417)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A72_bullenei</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:10px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(487.89295676100988,428.52282640302417)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A77_colubrinae</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:10px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(591.39589221926292,428.52282640302417)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A82_perforata</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:10px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(578.4580252869813,428.52282640302417)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A83_perforata</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:10px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(617.27162608382605,428.52282640302417)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A84_perforata</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:10px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(630.20949301610767,428.52282640302417)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A85_perforata</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:10px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(462.01722289644664,428.52282640302417)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">A87_costaricana</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:10px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(850.15323086489514,428.52282640302417)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">B102_obtusifolia</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:10px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(500.83082369329145,428.52282640302417)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C04_colubrinae</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:10px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(449.07935596416507,428.52282640302417)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C11_costaricana</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:10px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(526.70655755785481,428.52282640302417)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C12_dugandii</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:10px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(565.52015835469956,428.52282640302417)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C14_dugandii</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:10px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(888.96683166173989,428.52282640302417)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C19_nymphaeifolia</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:10px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(863.09109779717664,428.52282640302417)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C21_obtusifolia</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:10px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(837.21536393261351,428.52282640302417)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C22_obtusifolia</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:10px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(824.27749700033189,428.52282640302417)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C24_obtusifolia</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:10px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(785.46389620348702,428.52282640302417)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C25_popenoei</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:10px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(798.40176313576853,428.52282640302417)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C26_popenoei</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:10px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(811.33963006805016,428.52282640302417)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C27_popenoei</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:10px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(656.08522688067092,428.52282640302417)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C28_pertusa</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:10px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(410.26575516732021,428.52282640302417)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C30_triangle</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:10px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(436.14148903188345,428.52282640302417)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C31_triangle</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:10px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(371.45215437047534,428.52282640302417)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C36_trigonata</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:10px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(358.51428743819383,428.52282640302417)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C37_trigonata</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:10px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(319.70068664134897,428.52282640302417)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C39_trigonata</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:10px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(332.63855357363059,428.52282640302417)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C41_trigonata</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:10px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(345.57642050591215,428.52282640302417)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C43_trigonata</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:10px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(539.64442449013643,428.52282640302417)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C49_dugandii</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:10px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(604.33375915154454,428.52282640302417)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C51_perforata</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:10px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(720.77456154207903,428.52282640302417)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C53_citrifolia</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:10px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(474.95508982872832,428.52282640302417)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">C5_colubrinae</tspan></text><text class=\"toyplot-Datum\" style=\"dominant-baseline:middle;fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-size:10px;font-weight:normal;opacity:1.0;stroke:none;text-anchor:start\" transform=\"translate(927.78043245858476,428.52282640302417)rotate(90.0)\"><tspan style=\"dominant-baseline:inherit\">outgroup</tspan></text></g></g></g></g></svg><div class=\"toyplot-interactive\"><ul class=\"toyplot-mark-popup\" onmouseleave=\"this.style.visibility='hidden'\" style=\"background:rgba(0%,0%,0%,0.75);border:0;border-radius:6px;color:white;cursor:default;list-style:none;margin:0;padding:5px;position:fixed;visibility:hidden\">\n",
       "            <li class=\"toyplot-mark-popup-title\" style=\"color:lightgray;cursor:default;padding:5px;list-style:none;margin:0\"></li>\n",
       "            <li class=\"toyplot-mark-popup-save-csv\" onmouseout=\"this.style.color='white';this.style.background='steelblue'\" onmouseover=\"this.style.color='steelblue';this.style.background='white'\" style=\"border-radius:3px;padding:5px;list-style:none;margin:0\">\n",
       "                Save as .csv\n",
       "            </li>\n",
       "        </ul><script>\n",
       "        (function()\n",
       "        {\n",
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       "\n",
       "          function save_csv(data_table)\n",
       "          {\n",
       "            var uri = \"data:text/csv;charset=utf-8,\";\n",
       "            uri += data_table.names.join(\",\") + \"\\n\";\n",
       "            for(var i = 0; i != data_table.columns[0].length; ++i)\n",
       "            {\n",
       "              for(var j = 0; j != data_table.columns.length; ++j)\n",
       "              {\n",
       "                if(j)\n",
       "                  uri += \",\";\n",
       "                uri += data_table.columns[j][i];\n",
       "              }\n",
       "              uri += \"\\n\";\n",
       "            }\n",
       "            uri = encodeURI(uri);\n",
       "\n",
       "            var link = document.createElement(\"a\");\n",
       "            if(typeof link.download != \"undefined\")\n",
       "            {\n",
       "              link.href = uri;\n",
       "              link.style = \"visibility:hidden\";\n",
       "              link.download = data_table.filename + \".csv\";\n",
       "\n",
       "              document.body.appendChild(link);\n",
       "              link.click();\n",
       "              document.body.removeChild(link);\n",
       "            }\n",
       "            else\n",
       "            {\n",
       "              window.open(uri);\n",
       "            }\n",
       "          }\n",
       "\n",
       "          function open_popup(data_table)\n",
       "          {\n",
       "            return function(e)\n",
       "            {\n",
       "              var popup = document.querySelector(\"#t7fb974e8e91745748931d26f03c33c25 .toyplot-mark-popup\");\n",
       "              popup.querySelector(\".toyplot-mark-popup-title\").innerHTML = data_table.title;\n",
       "              popup.querySelector(\".toyplot-mark-popup-save-csv\").onclick = function() { popup.style.visibility = \"hidden\"; save_csv(data_table); }\n",
       "              popup.style.left = (e.clientX - 50) + \"px\";\n",
       "              popup.style.top = (e.clientY - 20) + \"px\";\n",
       "              popup.style.visibility = \"visible\";\n",
       "              e.stopPropagation();\n",
       "              e.preventDefault();\n",
       "            }\n",
       "\n",
       "          }\n",
       "\n",
       "          for(var i = 0; i != data_tables.length; ++i)\n",
       "          {\n",
       "            var data_table = data_tables[i];\n",
       "            var event_target = document.querySelector(\"#\" + data_table.id);\n",
       "            event_target.oncontextmenu = open_popup(data_table);\n",
       "          }\n",
       "        })();\n",
       "        </script></div></div>"
      ],
      "text/plain": [
       "<toyplot.canvas.Canvas at 0x7f353dc99d50>"
      ]
     },
     "execution_count": 119,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## load into baba\n",
    "tre = baba.Tree(newick)\n",
    "canvas, axes = tre.draw(\n",
    "                    taxdicts=tests, \n",
    "                    bootsarr=boots,\n",
    "                    height=600,\n",
    "                    width=1000,\n",
    "                    use_edge_lengths=False,\n",
    "                    vlshow=False, \n",
    "                    vsize=0,\n",
    "                    show_tips=True,\n",
    "                    cex=\"10px\",\n",
    "                    pct_tree_x=0.35,\n",
    "                    pct_tree_y=0.2,\n",
    "                    test_labels=True,\n",
    "                    collapse_outgroup=1\n",
    "                    )\n",
    "\n",
    "toyplot.pdf.render(canvas, \"cladeI_within.pdf\")\n",
    "canvas"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Interpretation: \n",
    "Both nymph and obtus appear more closely related to bull and popo than to cit and para, but this could be caused by other stufff. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "           dstat  bootmean   bootstd        abxxa        baxxa         Z\n",
      "p3     -0.002673 -0.005165  0.035333   398.450032   400.585925  0.075653\n",
      "p4      0.061482  0.060868  0.034407   413.328625   365.448098  1.786881\n",
      "shared  0.081524  0.081090  0.017769  1425.314761  1210.438384  4.588082\n"
     ]
    }
   ],
   "source": [
    "taxd = {\n",
    "    \"p5\": pharma,\n",
    "    \"p4\": clades[\"nymphaeifolia\"],\n",
    "    \"p3\": clades[\"obtusifolia\"],\n",
    "    \"p2\": clades[\"popenoei\"] + clades[\"bullenei\"],\n",
    "    \"p1\": clades[\"citrifolia\"] + clades[\"paraensis\"],\n",
    "}\n",
    "\n",
    "r, b = baba.baba(locfile, taxd)\n",
    "print r"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "           dstat  bootmean   bootstd       abxxa       baxxa         Z\n",
      "p3      0.062548  0.062441  0.034743  313.102063  276.239682  1.800318\n",
      "p4      0.025815  0.024843  0.039323  248.455621  235.950580  0.656489\n",
      "shared -0.000469 -0.000912  0.020017  935.601534  936.479764  0.023436\n"
     ]
    }
   ],
   "source": [
    "taxd = {\n",
    "    \"p5\": pharma,\n",
    "    \"p4\": clades[\"nymphaeifolia\"],\n",
    "    \"p3\": clades[\"obtusifolia\"],\n",
    "    \"p2\": clades[\"trigonata\"],\n",
    "    \"p1\": clades[\"triangle\"],\n",
    "}\n",
    "\n",
    "r, b = baba.baba(locfile, taxd)\n",
    "print r"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "           dstat  bootmean   bootstd        abxxa        baxxa         Z\n",
      "p3      0.035033  0.033779  0.037836   336.765732   313.968801  0.925896\n",
      "p4      0.030109  0.032005  0.036320   252.068751   237.333429  0.828986\n",
      "shared -0.012247 -0.011965  0.018472  1081.879968  1108.707134  0.662975\n"
     ]
    }
   ],
   "source": [
    "taxd = {\n",
    "    \"p5\": pharma,\n",
    "    \"p4\": clades[\"nymphaeifolia\"] + clades[\"obtusifolia\"],\n",
    "    \"p3\": clades[\"popenoei\"] + clades[\"bullenei\"] + \\\n",
    "          clades[\"citrifolia\"] + clades[\"paraensis\"],\n",
    "    \"p2\": clades[\"trigonata\"],\n",
    "    \"p1\": clades[\"triangle\"],\n",
    "}\n",
    "\n",
    "r, b = baba.baba(locfile, taxd)\n",
    "print r"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### This is interesting... \n",
    "There is clearly alleles derived in cladeI that are present in triangle+trigonata and not in pertusa+perforata. But the alleles are not unique to one of the P3 clades more than other. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Five-taxon tests"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "           dstat  bootmean   bootstd        abxxa        baxxa         Z\n",
      "p3      0.033814  0.033515  0.026081   485.707159   453.933874  1.296503\n",
      "p4      0.057573  0.058052  0.030143   415.849701   370.573005  1.909997\n",
      "shared  0.120929  0.121156  0.013026  1904.052959  1493.224146  9.283523\n"
     ]
    }
   ],
   "source": [
    "taxd = {\n",
    "    \"p5\": pharma,\n",
    "    \"p4\": clades[\"nymphaeifolia\"] + clades[\"obtusifolia\"],\n",
    "    \"p3\": clades[\"popenoei\"] + clades[\"bullenei\"] + \\\n",
    "          clades[\"citrifolia\"] + clades[\"paraensis\"],\n",
    "    \"p2\": clades[\"triangle\"] + clades[\"trigonata\"], \n",
    "    \"p1\": clades[\"pertusa\"] + clades[\"perforata\"],\n",
    "}\n",
    "\n",
    "r, b = baba.baba(locfile, taxd)\n",
    "print r"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "           dstat  bootmean   bootstd        abxxa        baxxa         Z\n",
      "p3     -0.057134 -0.058079  0.029430   355.848597   398.974959  1.941385\n",
      "p4      0.003781  0.003611  0.035411   310.490398   308.151587  0.106763\n",
      "shared  0.000265  0.000381  0.015869  1292.568397  1291.883337  0.016704\n"
     ]
    }
   ],
   "source": [
    "taxd = {\n",
    "    \"p5\": pharma,\n",
    "    \"p4\": clades[\"nymphaeifolia\"] + clades[\"obtusifolia\"],\n",
    "    \"p3\": clades[\"popenoei\"] + clades[\"bullenei\"] + \\\n",
    "          clades[\"citrifolia\"] + clades[\"paraensis\"],\n",
    "    \"p2\": clades[\"triangle\"] + clades[\"trigonata\"], \n",
    "    \"p1\": clades[\"dugandii\"],\n",
    "}\n",
    "\n",
    "r, b = baba.baba(locfile, taxd)\n",
    "print r"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "           dstat  bootmean   bootstd        abxxa        baxxa         Z\n",
      "p3      0.141154  0.140850  0.033567   370.356806   278.734911  4.205148\n",
      "p4     -0.051881 -0.050721  0.033548   273.526889   303.461634  1.546486\n",
      "shared  0.054310  0.054441  0.016184  1279.914185  1148.051249  3.355855\n"
     ]
    }
   ],
   "source": [
    "taxd = {\n",
    "    \"p5\": pharma,\n",
    "    \"p4\": clades[\"nymphaeifolia\"] + clades[\"obtusifolia\"],\n",
    "    \"p3\": clades[\"popenoei\"] + clades[\"bullenei\"] + \\\n",
    "          clades[\"citrifolia\"] + clades[\"paraensis\"],\n",
    "    \"p2\": clades[\"triangle\"] + clades[\"trigonata\"], \n",
    "    \"p1\": clades[\"costaricana\"],\n",
    "}\n",
    "\n",
    "r, b = baba.baba(locfile, taxd)\n",
    "print r"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 129,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "           dstat  bootmean   bootstd        abxxa        baxxa          Z\n",
      "p3      0.102192  0.102269  0.026874   455.601325   371.117384   3.802657\n",
      "p4      0.053140  0.053226  0.029638   350.833652   315.428357   1.792947\n",
      "shared  0.144485  0.143998  0.014002  1719.941672  1285.673833  10.318870\n"
     ]
    }
   ],
   "source": [
    "taxd = {\n",
    "    \"p5\": pharma,\n",
    "    \"p4\": clades[\"nymphaeifolia\"] + clades[\"obtusifolia\"],\n",
    "    \"p3\": clades[\"popenoei\"] + clades[\"bullenei\"] + \\\n",
    "          clades[\"citrifolia\"] + clades[\"paraensis\"],\n",
    "    \"p2\": clades[\"triangle\"] + clades[\"trigonata\"], \n",
    "    \"p1\": clades[\"colubrinae\"],\n",
    "}\n",
    "\n",
    "r, b = baba.baba(locfile, taxd)\n",
    "print r"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "           dstat  bootmean   bootstd        abxxa        baxxa         Z\n",
      "p3      0.189258  0.188124  0.026778   551.069861   375.675690  7.067596\n",
      "p4      0.064098  0.063212  0.030663   443.013460   389.641973  2.090420\n",
      "shared  0.156644  0.156557  0.015940  1518.715535  1107.356320  9.827011\n"
     ]
    }
   ],
   "source": [
    "taxd = {\n",
    "    \"p5\": pharma,\n",
    "    \"p4\": clades[\"paraensis\"] + clades[\"citrifolia\"],\n",
    "    \"p3\": clades[\"popenoei\"] + clades[\"bullenei\"],\n",
    "    \"p2\": clades[\"triangle\"] + clades[\"trigonata\"], \n",
    "    \"p1\": clades[\"colubrinae\"],\n",
    "}\n",
    "\n",
    "r, b = baba.baba(locfile, taxd)\n",
    "print r"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 137,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "           dstat  bootmean   bootstd        abxxa        baxxa         Z\n",
      "p3      0.077703  0.076939  0.024612   519.374463   444.480214  3.157160\n",
      "p4      0.059105  0.058320  0.027108   427.583515   379.859703  2.180312\n",
      "shared  0.071053  0.070514  0.014404  1389.949555  1205.532465  4.933022\n"
     ]
    }
   ],
   "source": [
    "taxd = {\n",
    "    \"p5\": pharma,\n",
    "    \"p4\": clades[\"paraensis\"] + clades[\"citrifolia\"],\n",
    "    \"p3\": clades[\"popenoei\"] + clades[\"bullenei\"],\n",
    "    \"p2\": clades[\"triangle\"] + clades[\"trigonata\"], \n",
    "    \"p1\": clades[\"colubrinae\"] + clades[\"turbinata\"] + clades[\"dugandii\"]\n",
    "}\n",
    "\n",
    "r, b = baba.baba(locfile, taxd)\n",
    "print r"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### popenoei & bullenei into triangle & trigonata"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 133,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "           dstat  bootmean   bootstd        abxxa       baxxa         Z\n",
      "p3      0.147281  0.146471  0.031326   470.445278  349.659297  4.701623\n",
      "p4      0.011171  0.010835  0.034336   345.645705  338.008590  0.325348\n",
      "shared  0.103484  0.103814  0.017758  1193.904885  969.978497  5.827452\n"
     ]
    }
   ],
   "source": [
    "taxd = {\n",
    "    \"p5\": pharma,\n",
    "    \"p4\": clades[\"paraensis\"] + clades[\"citrifolia\"],\n",
    "    \"p3\": clades[\"popenoei\"] + clades[\"bullenei\"],\n",
    "    \"p2\": clades[\"triangle\"] + clades[\"trigonata\"], \n",
    "    \"p1\": clades[\"costaricana\"],\n",
    "}\n",
    "\n",
    "r, b = baba.baba(locfile, taxd)\n",
    "print r"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "           dstat  bootmean   bootstd        abxxa        baxxa         Z\n",
      "p3      0.086178  0.082890  0.047690   232.796593   195.856300  1.807053\n",
      "p4     -0.063502 -0.063675  0.028613   433.349612   492.118955  2.219363\n",
      "shared -0.024136 -0.024033  0.018690  1244.741581  1306.314702  1.291377\n"
     ]
    }
   ],
   "source": [
    "## reverse of test above\n",
    "taxd = {\n",
    "    \"p5\": pharma,\n",
    "    \"p4\": clades[\"triangle\"] + clades[\"trigonata\"], \n",
    "    \"p3\": clades[\"costaricana\"],\n",
    "    \"p2\": clades[\"paraensis\"] + clades[\"citrifolia\"],\n",
    "    \"p1\": clades[\"popenoei\"] + clades[\"bullenei\"],\n",
    "}\n",
    "\n",
    "r, b = baba.baba(locfile, taxd)\n",
    "print r"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 135,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "           dstat  bootmean   bootstd        abxxa        baxxa         Z\n",
      "p3      0.113628  0.113601  0.037851   269.097593   214.183319  3.002012\n",
      "p4     -0.013747 -0.014222  0.031654   409.555965   420.973579  0.434304\n",
      "shared -0.012058 -0.010935  0.018067  1381.287861  1415.006059  0.667420\n"
     ]
    }
   ],
   "source": [
    "## evidence of unidirectional \n",
    "taxd = {\n",
    "    \"p5\": pharma,\n",
    "    \"p4\": clades[\"triangle\"] + clades[\"trigonata\"], \n",
    "    \"p3\": clades[\"colubrinae\"],\n",
    "    \"p2\": clades[\"paraensis\"] + clades[\"citrifolia\"],\n",
    "    \"p1\": clades[\"popenoei\"] + clades[\"bullenei\"],\n",
    "}\n",
    "\n",
    "r, b = baba.baba(locfile, taxd)\n",
    "print r"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 136,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "           dstat  bootmean   bootstd        abxxa        baxxa         Z\n",
      "p3      0.012205  0.011503  0.034295   262.389104   256.061612  0.355868\n",
      "p4      0.016217  0.014947  0.036108   288.568999   279.358878  0.449130\n",
      "shared -0.032380 -0.032844  0.017065  1420.838457  1515.930799  1.897470\n"
     ]
    }
   ],
   "source": [
    "## evidence of unidirectional \n",
    "taxd = {\n",
    "    \"p5\": pharma,\n",
    "    \"p4\": clades[\"triangle\"] + clades[\"trigonata\"], \n",
    "    \"p3\": clades[\"colubrinae\"] + clades[\"turbinata\"] + clades[\"dugandii\"],\n",
    "    \"p2\": clades[\"paraensis\"] + clades[\"citrifolia\"],\n",
    "    \"p1\": clades[\"popenoei\"] + clades[\"bullenei\"],\n",
    "}\n",
    "\n",
    "r, b = baba.baba(locfile, taxd)\n",
    "print r"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "           dstat  bootmean   bootstd       abxxa       baxxa         Z\n",
      "p3     -0.099512 -0.099624  0.034017  324.260665  395.928244  2.925362\n",
      "p4      0.113060  0.113707  0.035426  364.988775  290.840871  3.191413\n",
      "shared  0.003072  0.002653  0.020188  974.925650  968.954006  0.152172\n"
     ]
    }
   ],
   "source": [
    "taxd = {\n",
    "    \"p5\": pharma,\n",
    "    \"p4\": clades[\"paraensis\"] + clades[\"citrifolia\"],\n",
    "    \"p3\": clades[\"popenoei\"] + clades[\"bullenei\"],\n",
    "    \"p2\": clades[\"triangle\"],\n",
    "    \"p1\": clades[\"trigonata\"], \n",
    "}\n",
    "\n",
    "r, b = baba.baba(locfile, taxd)\n",
    "print r"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
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