newdocs/API-assembly/cookbook-empirical-API-1-pedicularis.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Eaton & Ree (2013) single-end RAD data set\n",
    "\n",
    "Here we demonstrate a denovo assembly for an empirical RAD data set using the ipyrad Python API. This example was run on a workstation with 20 cores and takes about 10 minutes to assemble, but you should be able to run it on a 4-core laptop in ~30-60 minutes.\n",
    "\n",
    "For our example data we will use the 13 taxa *Pedicularis* data set from [Eaton and Ree (2013) (Open Access)](https://academic.oup.com/sysbio/article/62/5/689/1684460/Inferring-Phylogeny-and-Introgression-using-RADseq). This data set is composed of single-end 75bp reads from a RAD-seq library prepared with the PstI enzyme. The data set also serves as an example for several of our [analysis cookbooks](http://ipyrad.readthedocs.io/analysis.html) that demonstrate methods for analyzing RAD-seq data files. At the end of this notebook there are also several examples of how to use the ipyrad analysis tools to run downstream analyses in parallel. \n",
    "\n",
    "The figure below shows the ingroup taxa from this study and their sampling locations. The study includes all species within a small monophyletic clade of *Pedicularis*, including multiple individuals from 5 species and several subspecies, as well as an outgroup species. The sampling essentially spans from population-level variation where species boundaries are unclear, to higher-level divergence where species boundaries are quite distinct. This is a common scale at which RAD-seq data are often very useful.  \n",
    "<img src=\"https://raw.githubusercontent.com/eaton-lab/eaton-lab.github.io/master/slides/slide-images/Eaton-Ree-2012-Ped-Fig1.png\">"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Setup (software and data files)\n",
    "If you haven't done so yet, start by installing `ipyrad` using conda (see ipyrad installation instructions) as well as the packages in the cell below. This is easiest to do in a terminal. Then open a jupyter-notebook, like this one, and follow along with the tuturial by copying and executing the code in the cells, and adding your own documentation between them using markdown. Feel free to modify parameters to see their effects on the downstream results. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "## conda install ipyrad -c ipyrad\n",
    "## conda install toytree -c eaton-lab\n",
    "## conda install sra-tools -c bioconda"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "## imports\n",
    "import ipyrad as ip\n",
    "import ipyrad.analysis as ipa"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In contrast to the ipyrad CLI, the ipyrad API gives users much more fine-scale control over the parallelization of their analysis, but this also requires learning a little bit about the library that we use to do this, called `ipyparallel`. This library is designed for use with jupyter-notebooks to allow massive-scale multi-processing while working *interactively*. \n",
    "\n",
    "Understanding the nuts and bolts of it might take a little while, but it is fairly easy to get started using it, especially in the way it is integrated with ipyrad. To start a parallel client to you must run the command-line program '`ipcluster`'. This will essentially start a number of independent Python processes (kernels) which we can then send bits of work to do. The cluster can be stopped and restarted independently of this notebook, which is convenient for working on a cluster where connecting to many cores is not always immediately available. \n",
    "\n",
    "Open a terminal and type the following command to start an ipcluster instance with N engines. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Download the data set (Pedicularis)\n",
    "These data are archived on the NCBI sequence read archive (SRA) under accession id SRP021469. As part of the ipyrad analysis tools we have a wrapper around the SRAtools software that can be used to query NCBI and download sequence data based on accession IDs. Run the code below to download the fastq data files associated with this study. The data will be saved the specified directory which will be created if it does not already exist. The compressed file size of the data is a little over 1GB. If you pass your ipyclient to the `.run()` command below then the download will be parallelized. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[####################] 100%  Downloading fastq files | 0:01:19 |  \n",
      "13 fastq files downloaded to /home/deren/Documents/ipyrad/tests/fastqs-Ped\n"
     ]
    }
   ],
   "source": [
    "## download the Pedicularis data set from NCBI\n",
    "sra = ipa.sratools(accession=\"SRP021469\", workdir=\"fastqs-Ped\")\n",
    "sra.run(force=True, ipyclient=ipyclient)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Create an Assembly object\n",
    "This object stores the parameters of the assembly and the organization of data files. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "New Assembly: pedicularis\n"
     ]
    }
   ],
   "source": [
    "## you must provide a name for the Assembly\n",
    "data = ip.Assembly(\"pedicularis\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Set parameters for the Assembly. This will raise an error if any of the parameters are not allowed because they are the wrong type, or out of the allowed range. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0   assembly_name               pedicularis                                  \n",
      "1   project_dir                 ./analysis-ipyrad                            \n",
      "2   raw_fastq_path                                                           \n",
      "3   barcodes_path                                                            \n",
      "4   sorted_fastq_path           ./example_empirical_rad/*.fastq.gz           \n",
      "5   assembly_method             denovo                                       \n",
      "6   reference_sequence                                                       \n",
      "7   datatype                    rad                                          \n",
      "8   restriction_overhang        ('TGCAG', '')                                \n",
      "9   max_low_qual_bases          5                                            \n",
      "10  phred_Qscore_offset         33                                           \n",
      "11  mindepth_statistical        6                                            \n",
      "12  mindepth_majrule            6                                            \n",
      "13  maxdepth                    10000                                        \n",
      "14  clust_threshold             0.9                                          \n",
      "15  max_barcode_mismatch        0                                            \n",
      "16  filter_adapters             2                                            \n",
      "17  filter_min_trim_len         35                                           \n",
      "18  max_alleles_consens         2                                            \n",
      "19  max_Ns_consens              (5, 5)                                       \n",
      "20  max_Hs_consens              (5, 5)                                       \n",
      "21  min_samples_locus           4                                            \n",
      "22  max_SNPs_locus              (20, 20)                                     \n",
      "23  max_Indels_locus            (8, 8)                                       \n",
      "24  max_shared_Hs_locus         0.5                                          \n",
      "25  trim_reads                  (0, 0, 0, 0)                                 \n",
      "26  trim_loci                   (0, 5, 0, 0)                                 \n",
      "27  output_formats              ('p', 's', 'v', 'n', 'k', 'u')               \n",
      "28  pop_assign_file                                                          \n"
     ]
    }
   ],
   "source": [
    "## set parameters\n",
    "data.paramset_params(\"project_dir\", \"analysis-ipyrad\")\n",
    "data.set_params(\"sorted_fastq_path\", \"fastqs-Ped/*.fastq.gz\")\n",
    "data.set_params(\"clust_threshold\", \"0.90\")\n",
    "data.set_params(\"filter_adapters\", \"2\")\n",
    "data.set_params(\"max_Hs_consens\", (5, 5))\n",
    "data.set_params(\"trim_loci\", (0, 5, 0, 0))\n",
    "data.set_params(\"output_formats\", \"psvnkua\")\n",
    "\n",
    "## see/print all parameters\n",
    "data.get_params()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Assemble the data set\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Assembly: pedicularis\n",
      "[####################] 100%  loading reads         | 0:00:04 | s1 | \n",
      "[####################] 100%  processing reads      | 0:01:14 | s2 | \n"
     ]
    }
   ],
   "source": [
    "## run steps 1 & 2 of the assembly\n",
    "data.run(\"12\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
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       "                        state  reads_raw  reads_passed_filter\n",
       "29154_superba               2     696994               689996\n",
       "30556_thamno                2    1452316              1440314\n",
       "30686_cyathophylla          2    1253109              1206947\n",
       "32082_przewalskii           2     964244               955480\n",
       "33413_thamno                2     636625               626084\n",
       "33588_przewalskii           2    1002923               993873\n",
       "35236_rex                   2    1803858              1787366\n",
       "35855_rex                   2    1409843              1397068\n",
       "38362_rex                   2    1391175              1379626\n",
       "39618_rex                   2     822263               813990\n",
       "40578_rex                   2    1707942              1695523\n",
       "41478_cyathophylloides      2    2199740              2185364\n",
       "41954_cyathophylloides      2    2199613              2176210"
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     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## access the stats of the assembly (so far) from the .stats attribute\n",
    "data.stats"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Assembly: pedicularis\n",
      "[####################] 100%  dereplicating         | 0:00:07 | s3 | \n",
      "[####################] 100%  clustering            | 0:05:08 | s3 | \n",
      "[####################] 100%  building clusters     | 0:00:26 | s3 | \n",
      "[####################] 100%  chunking              | 0:00:05 | s3 | \n",
      "[####################] 100%  aligning              | 0:03:06 | s3 | \n",
      "[####################] 100%  concatenating         | 0:00:15 | s3 | \n",
      "[####################] 100%  inferring [H, E]      | 0:01:10 | s4 | \n",
      "[####################] 100%  calculating depths    | 0:00:06 | s5 | \n",
      "[####################] 100%  chunking clusters     | 0:00:06 | s5 | \n",
      "[####################] 100%  consens calling       | 0:01:56 | s5 | \n",
      "[####################] 100%  concat/shuffle input  | 0:00:05 | s6 | \n",
      "[####################] 100%  clustering across     | 0:03:47 | s6 | \n",
      "[####################] 100%  building clusters     | 0:00:06 | s6 | \n",
      "[####################] 100%  aligning clusters     | 0:00:29 | s6 | \n",
      "[####################] 100%  database indels       | 0:00:14 | s6 | \n",
      "[####################] 100%  indexing clusters     | 0:00:03 | s6 | \n",
      "[####################] 100%  building database     | 0:00:29 | s6 | \n"
     ]
    }
   ],
   "source": [
    "## run steps 3-6 of the assembly\n",
    "data.run(\"3456\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Branch to create several final data sets with different parameter settings\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Assembly: min4\n",
      "[####################] 100%  filtering loci        | 0:00:08 | s7 | \n",
      "[####################] 100%  building loci/stats   | 0:00:01 | s7 | \n",
      "[####################] 100%  building vcf file     | 0:00:09 | s7 | \n",
      "[####################] 100%  writing vcf file      | 0:00:00 | s7 | \n",
      "[####################] 100%  building arrays       | 0:00:04 | s7 | \n",
      "[####################] 100%  writing outfiles      | 0:00:05 | s7 | \n",
      "Outfiles written to: ~/Documents/ipyrad/tests/analysis-ipyrad/min4_outfiles\n",
      "\n",
      "Assembly: min13\n",
      "[####################] 100%  filtering loci        | 0:00:02 | s7 | \n",
      "[####################] 100%  building loci/stats   | 0:00:01 | s7 | \n",
      "[####################] 100%  building vcf file     | 0:00:03 | s7 | \n",
      "[####################] 100%  writing vcf file      | 0:00:00 | s7 | \n",
      "[####################] 100%  building arrays       | 0:00:04 | s7 | \n",
      "[####################] 100%  writing outfiles      | 0:00:00 | s7 | \n",
      "Outfiles written to: ~/Documents/ipyrad/tests/analysis-ipyrad/min13_outfiles\n",
      "\n",
      "Assembly: min11-pops\n",
      "[####################] 100%  filtering loci        | 0:00:02 | s7 | \n",
      "[####################] 100%  building loci/stats   | 0:00:01 | s7 | \n",
      "[####################] 100%  building vcf file     | 0:00:03 | s7 | \n",
      "[####################] 100%  writing vcf file      | 0:00:00 | s7 | \n",
      "[####################] 100%  building arrays       | 0:00:04 | s7 | \n",
      "[####################] 100%  writing outfiles      | 0:00:00 | s7 | \n",
      "Outfiles written to: ~/Documents/ipyrad/tests/analysis-ipyrad/min11-pops_outfiles\n",
      "\n",
      "Assembly: nouts_min11\n",
      "[####################] 100%  filtering loci        | 0:00:03 | s7 | \n",
      "[####################] 100%  building loci/stats   | 0:00:02 | s7 | \n",
      "[####################] 100%  building vcf file     | 0:00:02 | s7 | \n",
      "[####################] 100%  writing vcf file      | 0:00:00 | s7 | \n",
      "[####################] 100%  building arrays       | 0:00:04 | s7 | \n",
      "[####################] 100%  writing outfiles      | 0:00:00 | s7 | \n",
      "Outfiles written to: ~/Documents/ipyrad/tests/analysis-ipyrad/nouts_min11_outfiles\n",
      "\n"
     ]
    }
   ],
   "source": [
    "## create a branch for outputs with min_samples = 4 (lots of missing data)\n",
    "min4 = data.branch(\"min4\")\n",
    "min4.set_params(\"min_samples_locus\", 4)\n",
    "min4.run(\"7\")\n",
    "\n",
    "## create a branch for outputs with min_samples = 13 (no missing data)\n",
    "min13 = data.branch(\"min13\")\n",
    "min13.set_params(\"min_samples_locus\", 13)\n",
    "min13.run(\"7\")\n",
    "\n",
    "## create a branch with no missing data for ingroups, but allow\n",
    "## missing data in the outgroups by setting population assignments.\n",
    "## The population min-sample values overrule the min-samples-locus param\n",
    "pops = data.branch(\"min11-pops\")\n",
    "pops.populations = {\n",
    "    \"ingroup\": (11, [i for i in pops.samples if \"prz\" not in i]),\n",
    "    \"outgroup\" : (0, [i for i in pops.samples if \"prz\" in i]),\n",
    "    }\n",
    "pops.run(\"7\")\n",
    "\n",
    "## create a branch with no missing data and with outgroups removed\n",
    "nouts = data.branch(\"nouts_min11\", subsamples=[i for i in pops.samples if \"prz\" not in i])\n",
    "nouts.set_params(\"min_samples_locus\", 11)\n",
    "nouts.run(\"7\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### View final stats\n",
    "The .stats attribute shows a stats summary for each sample, and a number of stats dataframes can be accessed for each step from the .stats_dfs attribute of the Assembly. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
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       "      <th>33588_przewalskii</th>\n",
       "      <td>6</td>\n",
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       "      <td>158933</td>\n",
       "      <td>46555</td>\n",
       "      <td>0.013</td>\n",
       "      <td>0.002</td>\n",
       "      <td>45892</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35236_rex</th>\n",
       "      <td>6</td>\n",
       "      <td>1803858</td>\n",
       "      <td>1787366</td>\n",
       "      <td>417632</td>\n",
       "      <td>54709</td>\n",
       "      <td>0.010</td>\n",
       "      <td>0.001</td>\n",
       "      <td>54064</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35855_rex</th>\n",
       "      <td>6</td>\n",
       "      <td>1409843</td>\n",
       "      <td>1397068</td>\n",
       "      <td>184661</td>\n",
       "      <td>56595</td>\n",
       "      <td>0.013</td>\n",
       "      <td>0.003</td>\n",
       "      <td>55371</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38362_rex</th>\n",
       "      <td>6</td>\n",
       "      <td>1391175</td>\n",
       "      <td>1379626</td>\n",
       "      <td>133541</td>\n",
       "      <td>53156</td>\n",
       "      <td>0.008</td>\n",
       "      <td>0.002</td>\n",
       "      <td>52496</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39618_rex</th>\n",
       "      <td>6</td>\n",
       "      <td>822263</td>\n",
       "      <td>813990</td>\n",
       "      <td>148107</td>\n",
       "      <td>44016</td>\n",
       "      <td>0.010</td>\n",
       "      <td>0.002</td>\n",
       "      <td>43409</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40578_rex</th>\n",
       "      <td>6</td>\n",
       "      <td>1707942</td>\n",
       "      <td>1695523</td>\n",
       "      <td>222328</td>\n",
       "      <td>56653</td>\n",
       "      <td>0.011</td>\n",
       "      <td>0.002</td>\n",
       "      <td>55937</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41478_cyathophylloides</th>\n",
       "      <td>6</td>\n",
       "      <td>2199740</td>\n",
       "      <td>2185364</td>\n",
       "      <td>173188</td>\n",
       "      <td>55208</td>\n",
       "      <td>0.008</td>\n",
       "      <td>0.001</td>\n",
       "      <td>54482</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41954_cyathophylloides</th>\n",
       "      <td>6</td>\n",
       "      <td>2199613</td>\n",
       "      <td>2176210</td>\n",
       "      <td>301343</td>\n",
       "      <td>76537</td>\n",
       "      <td>0.008</td>\n",
       "      <td>0.003</td>\n",
       "      <td>75167</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                        state  reads_raw  reads_passed_filter  clusters_total  \\\n",
       "29154_superba               6     696994               689996          134897   \n",
       "30556_thamno                6    1452316              1440314          212960   \n",
       "30686_cyathophylla          6    1253109              1206947          240824   \n",
       "32082_przewalskii           6     964244               955480          151762   \n",
       "33413_thamno                6     636625               626084          172709   \n",
       "33588_przewalskii           6    1002923               993873          158933   \n",
       "35236_rex                   6    1803858              1787366          417632   \n",
       "35855_rex                   6    1409843              1397068          184661   \n",
       "38362_rex                   6    1391175              1379626          133541   \n",
       "39618_rex                   6     822263               813990          148107   \n",
       "40578_rex                   6    1707942              1695523          222328   \n",
       "41478_cyathophylloides      6    2199740              2185364          173188   \n",
       "41954_cyathophylloides      6    2199613              2176210          301343   \n",
       "\n",
       "                        clusters_hidepth  hetero_est  error_est  reads_consens  \n",
       "29154_superba                      35143       0.010      0.002          34628  \n",
       "30556_thamno                       52776       0.011      0.003          51701  \n",
       "30686_cyathophylla                 54282       0.010      0.002          53347  \n",
       "32082_przewalskii                  42487       0.013      0.002          41841  \n",
       "33413_thamno                       31072       0.012      0.002          30674  \n",
       "33588_przewalskii                  46555       0.013      0.002          45892  \n",
       "35236_rex                          54709       0.010      0.001          54064  \n",
       "35855_rex                          56595       0.013      0.003          55371  \n",
       "38362_rex                          53156       0.008      0.002          52496  \n",
       "39618_rex                          44016       0.010      0.002          43409  \n",
       "40578_rex                          56653       0.011      0.002          55937  \n",
       "41478_cyathophylloides             55208       0.008      0.001          54482  \n",
       "41954_cyathophylloides             76537       0.008      0.003          75167  "
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## we can access the stats summary as a pandas dataframes. \n",
    "min4.stats"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "\r\n",
      "## The number of loci caught by each filter.\r\n",
      "## ipyrad API location: [assembly].stats_dfs.s7_filters\r\n",
      "\r\n",
      "                            total_filters  applied_order  retained_loci\r\n",
      "total_prefiltered_loci              96562              0          96562\r\n",
      "filtered_by_rm_duplicates            2939           2939          93623\r\n",
      "filtered_by_max_indels                189            189          93434\r\n",
      "filtered_by_max_snps                  679             18          93416\r\n",
      "filtered_by_max_shared_het            865            708          92708\r\n",
      "filtered_by_min_sample              47958          46646          46062\r\n",
      "filtered_by_max_alleles             10694           4565          41497\r\n",
      "total_filtered_loci                 41497              0          41497\r\n",
      "\r\n",
      "\r\n",
      "## The number of loci recovered for each Sample.\r\n",
      "## ipyrad API location: [assembly].stats_dfs.s7_samples\r\n",
      "\r\n",
      "                        sample_coverage\r\n",
      "29154_superba                     21054\r\n",
      "30556_thamno                      31790\r\n",
      "30686_cyathophylla                26648\r\n",
      "32082_przewalskii                 13201\r\n",
      "33413_thamno                      18747\r\n",
      "33588_przewalskii                 15461\r\n",
      "35236_rex                         33228\r\n",
      "35855_rex                         33403\r\n",
      "38362_rex                         33748\r\n",
      "39618_rex                         28135\r\n",
      "40578_rex                         34107\r\n",
      "41478_cyathophylloides            30826\r\n",
      "41954_cyathophylloides            28260\r\n",
      "\r\n",
      "\r\n",
      "## The number of loci for which N taxa have data.\r\n",
      "## ipyrad API location: [assembly].stats_dfs.s7_loci\r\n",
      "\r\n",
      "    locus_coverage  sum_coverage\r\n",
      "1                0             0\r\n",
      "2                0             0\r\n",
      "3                0             0\r\n",
      "4             5764          5764\r\n",
      "5             4002          9766\r\n",
      "6             3650         13416\r\n",
      "7             3139         16555\r\n",
      "8             3220         19775\r\n",
      "9             4153         23928\r\n",
      "10            4904         28832\r\n",
      "11            5321         34153\r\n",
      "12            4511         38664\r\n",
      "13            2833         41497\r\n",
      "\r\n",
      "\r\n",
      "## The distribution of SNPs (var and pis) per locus.\r\n",
      "## var = Number of loci with n variable sites (pis + autapomorphies)\r\n",
      "## pis = Number of loci with n parsimony informative site (minor allele in >1 sample)\r\n",
      "## ipyrad API location: [assembly].stats_dfs.s7_snps\r\n",
      "\r\n",
      "     var  sum_var    pis  sum_pis\r\n",
      "0   2348        0  11768        0\r\n",
      "1   4482     4482  10822    10822\r\n",
      "2   5870    16222   7699    26220\r\n",
      "3   6314    35164   4914    40962\r\n",
      "4   5708    57996   2967    52830\r\n",
      "5   4857    82281   1679    61225\r\n",
      "6   3885   105591    874    66469\r\n",
      "7   2932   126115    478    69815\r\n",
      "8   1955   141755    188    71319\r\n",
      "9   1255   153050     72    71967\r\n",
      "10   827   161320     19    72157\r\n",
      "11   506   166886     10    72267\r\n",
      "12   262   170030      4    72315\r\n",
      "13   141   171863      3    72354\r\n",
      "14    78   172955      0    72354\r\n",
      "15    39   173540      0    72354\r\n",
      "16    19   173844      0    72354\r\n",
      "17    10   174014      0    72354\r\n",
      "18     6   174122      0    72354\r\n",
      "19     2   174160      0    72354\r\n",
      "20     1   174180      0    72354\r\n",
      "\r\n",
      "\r\n",
      "## Final Sample stats summary\r\n",
      "\r\n",
      "                        state  reads_raw  reads_passed_filter  clusters_total  clusters_hidepth  hetero_est  error_est  reads_consens  loci_in_assembly\r\n",
      "29154_superba               7     696994               689996          134897             35143       0.010      0.002          34628             21054\r\n",
      "30556_thamno                7    1452316              1440314          212960             52776       0.011      0.003          51701             31790\r\n",
      "30686_cyathophylla          7    1253109              1206947          240824             54282       0.010      0.002          53347             26648\r\n",
      "32082_przewalskii           7     964244               955480          151762             42487       0.013      0.002          41841             13201\r\n",
      "33413_thamno                7     636625               626084          172709             31072       0.012      0.002          30674             18747\r\n",
      "33588_przewalskii           7    1002923               993873          158933             46555       0.013      0.002          45892             15461\r\n",
      "35236_rex                   7    1803858              1787366          417632             54709       0.010      0.001          54064             33228\r\n",
      "35855_rex                   7    1409843              1397068          184661             56595       0.013      0.003          55371             33403\r\n",
      "38362_rex                   7    1391175              1379626          133541             53156       0.008      0.002          52496             33748\r\n",
      "39618_rex                   7     822263               813990          148107             44016       0.010      0.002          43409             28135\r\n",
      "40578_rex                   7    1707942              1695523          222328             56653       0.011      0.002          55937             34107\r\n",
      "41478_cyathophylloides      7    2199740              2185364          173188             55208       0.008      0.001          54482             30826\r\n",
      "41954_cyathophylloides      7    2199613              2176210          301343             76537       0.008      0.003          75167             28260"
     ]
    }
   ],
   "source": [
    "## or print the full stats file \n",
    "cat $min4.stats_files.s7"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "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>sample_coverage</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>29154_superba</th>\n",
       "      <td>21054</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30556_thamno</th>\n",
       "      <td>31790</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30686_cyathophylla</th>\n",
       "      <td>26648</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32082_przewalskii</th>\n",
       "      <td>13201</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33413_thamno</th>\n",
       "      <td>18747</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33588_przewalskii</th>\n",
       "      <td>15461</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35236_rex</th>\n",
       "      <td>33228</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35855_rex</th>\n",
       "      <td>33403</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38362_rex</th>\n",
       "      <td>33748</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39618_rex</th>\n",
       "      <td>28135</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40578_rex</th>\n",
       "      <td>34107</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41478_cyathophylloides</th>\n",
       "      <td>30826</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41954_cyathophylloides</th>\n",
       "      <td>28260</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                        sample_coverage\n",
       "29154_superba                     21054\n",
       "30556_thamno                      31790\n",
       "30686_cyathophylla                26648\n",
       "32082_przewalskii                 13201\n",
       "33413_thamno                      18747\n",
       "33588_przewalskii                 15461\n",
       "35236_rex                         33228\n",
       "35855_rex                         33403\n",
       "38362_rex                         33748\n",
       "39618_rex                         28135\n",
       "40578_rex                         34107\n",
       "41478_cyathophylloides            30826\n",
       "41954_cyathophylloides            28260"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## and we can access parts of the full stats outputs as dataframes \n",
    "min4.stats_dfs.s7_samples"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "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>sample_coverage</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>29154_superba</th>\n",
       "      <td>2833</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30556_thamno</th>\n",
       "      <td>2833</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30686_cyathophylla</th>\n",
       "      <td>2833</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32082_przewalskii</th>\n",
       "      <td>2833</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33413_thamno</th>\n",
       "      <td>2833</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33588_przewalskii</th>\n",
       "      <td>2833</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35236_rex</th>\n",
       "      <td>2833</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35855_rex</th>\n",
       "      <td>2833</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38362_rex</th>\n",
       "      <td>2833</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39618_rex</th>\n",
       "      <td>2833</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40578_rex</th>\n",
       "      <td>2833</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41478_cyathophylloides</th>\n",
       "      <td>2833</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41954_cyathophylloides</th>\n",
       "      <td>2833</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                        sample_coverage\n",
       "29154_superba                      2833\n",
       "30556_thamno                       2833\n",
       "30686_cyathophylla                 2833\n",
       "32082_przewalskii                  2833\n",
       "33413_thamno                       2833\n",
       "33588_przewalskii                  2833\n",
       "35236_rex                          2833\n",
       "35855_rex                          2833\n",
       "38362_rex                          2833\n",
       "39618_rex                          2833\n",
       "40578_rex                          2833\n",
       "41478_cyathophylloides             2833\n",
       "41954_cyathophylloides             2833"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## compare this to the one above, coverage is more equal\n",
    "min13.stats_dfs.s7_samples"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "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>sample_coverage</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>29154_superba</th>\n",
       "      <td>5796</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30556_thamno</th>\n",
       "      <td>5796</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30686_cyathophylla</th>\n",
       "      <td>5796</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32082_przewalskii</th>\n",
       "      <td>3266</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33413_thamno</th>\n",
       "      <td>5796</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33588_przewalskii</th>\n",
       "      <td>3747</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35236_rex</th>\n",
       "      <td>5796</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35855_rex</th>\n",
       "      <td>5796</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38362_rex</th>\n",
       "      <td>5796</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39618_rex</th>\n",
       "      <td>5796</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40578_rex</th>\n",
       "      <td>5796</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41478_cyathophylloides</th>\n",
       "      <td>5796</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41954_cyathophylloides</th>\n",
       "      <td>5796</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                        sample_coverage\n",
       "29154_superba                      5796\n",
       "30556_thamno                       5796\n",
       "30686_cyathophylla                 5796\n",
       "32082_przewalskii                  3266\n",
       "33413_thamno                       5796\n",
       "33588_przewalskii                  3747\n",
       "35236_rex                          5796\n",
       "35855_rex                          5796\n",
       "38362_rex                          5796\n",
       "39618_rex                          5796\n",
       "40578_rex                          5796\n",
       "41478_cyathophylloides             5796\n",
       "41954_cyathophylloides             5796"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## similarly, coverage is equal here among ingroups, but allows missing in outgroups\n",
    "pops.stats_dfs.s7_samples"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Analysis tools\n",
    "We have a lot more information about analysis tools in the ipyrad documentation. But here I'll show just a quick example of how you can easily access the data files for these assemblies and use them in downstream analysis software. The ipyrad analysis tools include convenient wrappers to make it easier to parallelize analyses of RAD-seq data. Please see the full documentation for the ipyrad.analysis tools in the ipyrad documentation for more details. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import ipyrad as ip\n",
    "import ipyrad.analysis as ipa"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "loading Assembly: min4\n",
      "from saved path: ~/Documents/ipyrad/tests/analysis-ipyrad/min4.json\n",
      "loading Assembly: min13\n",
      "from saved path: ~/Documents/ipyrad/tests/analysis-ipyrad/min13.json\n",
      "loading Assembly: nouts_min11\n",
      "from saved path: ~/Documents/ipyrad/tests/analysis-ipyrad/nouts_min11.json\n"
     ]
    }
   ],
   "source": [
    "## you can re-load assemblies at a later time from their JSON file\n",
    "min4 = ip.load_json(\"analysis-ipyrad/min4.json\")\n",
    "min13 = ip.load_json(\"analysis-ipyrad/min13.json\")\n",
    "nouts = ip.load_json(\"analysis-ipyrad/nouts_min11.json\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### *RAxML*  -- ML concatenation tree inference"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "## conda install raxml -c bioconda\n",
    "## conda install toytree -c eaton-lab"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "## create a raxml analysis object for the min13 data sets\n",
    "rax = ipa.raxml(\n",
    "    name=min13.name, \n",
    "    data=min13.outfiles.phy,\n",
    "    workdir=\"analysis-raxml\",\n",
    "    T=20,\n",
    "    N=100,    \n",
    "    o=[i for i in min13.samples if \"prz\" in i],\n",
    "    )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "raxmlHPC-PTHREADS-SSE3 -f a -T 20 -m GTRGAMMA -N 100 -x 12345 -p 54321 -n min13 -w /home/deren/Documents/ipyrad/tests/analysis-raxml -s /home/deren/Documents/ipyrad/tests/analysis-ipyrad/min13_outfiles/min13.phy -o 33588_przewalskii,32082_przewalskii\n",
      "job min13 finished successfully\n"
     ]
    }
   ],
   "source": [
    "## print the raxml command and call it\n",
    "print rax.command\n",
    "rax.run(force=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "bestTree                   ~/Documents/ipyrad/tests/analysis-raxml/RAxML_bestTree.min13\n",
       "bipartitions               ~/Documents/ipyrad/tests/analysis-raxml/RAxML_bipartitions.min13\n",
       "bipartitionsBranchLabels   ~/Documents/ipyrad/tests/analysis-raxml/RAxML_bipartitionsBranchLabels.min13\n",
       "bootstrap                  ~/Documents/ipyrad/tests/analysis-raxml/RAxML_bootstrap.min13\n",
       "info                       ~/Documents/ipyrad/tests/analysis-raxml/RAxML_info.min13"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## access the resulting tree files\n",
    "rax.trees"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
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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\" transform=\"translate(191.4479441390007, 331.20229007633588)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" 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\" transform=\"translate(191.4479441390007, 319.27480916030538)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" 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\" transform=\"translate(215.02260149550082, 319.27480916030538)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" 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\" transform=\"translate(191.4479441390007, 343.12977099236645)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" 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\" transform=\"translate(215.02260149550082, 343.12977099236645)\"><circle r=\"0.0\"></circle></g></g></g><g class=\"toyplot-mark-Scatterplot\" id=\"t3bd786340b754620a7a7c97b73a8023c\"><g class=\"toyplot-Series\"><g class=\"toyplot-Datum\" style=\"fill:rgb(40%,76.1%,64.7%);fill-opacity:1.0;opacity:1.0;stroke:none\" transform=\"translate(191.4479441390007, 68.797709923664129)\"><title>idx: 1\n",
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       "name: 4\n",
       "dist: 0.00130362717349\n",
       "support: 100</title><circle r=\"11.0\"></circle><g><text style=\"fill:rgb(14.9%,14.9%,14.9%);fill-opacity:1.0;font-family:helvetica;font-size:9.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-7.506\" y=\"2.2995\">100</text></g></g><g class=\"toyplot-Datum\" style=\"fill:rgb(40%,76.1%,64.7%);fill-opacity:1.0;opacity:1.0;stroke:none\" transform=\"translate(191.4479441390007, 164.21755725190843)\"><title>idx: 5\n",
       "name: 5\n",
       "dist: 0.00515136675257\n",
       "support: 100</title><circle r=\"11.0\"></circle><g><text style=\"fill:rgb(14.9%,14.9%,14.9%);fill-opacity:1.0;font-family:helvetica;font-size:9.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-7.506\" y=\"2.2995\">100</text></g></g><g class=\"toyplot-Datum\" style=\"fill:rgb(40%,76.1%,64.7%);fill-opacity:1.0;opacity:1.0;stroke:none\" transform=\"translate(97.149314713000237, 227.5822996183206)\"><title>idx: 6\n",
       "name: 6\n",
       "dist: 0.0026758642527\n",
       "support: 100</title><circle r=\"11.0\"></circle><g><text style=\"fill:rgb(14.9%,14.9%,14.9%);fill-opacity:1.0;font-family:helvetica;font-size:9.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-7.506\" y=\"2.2995\">100</text></g></g><g class=\"toyplot-Datum\" style=\"fill:rgb(40%,76.1%,64.7%);fill-opacity:1.0;opacity:1.0;stroke:none\" transform=\"translate(120.72397206950035, 255.16459923664127)\"><title>idx: 7\n",
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      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "## plot a tree in the notebook with toytree\n",
    "import toytree\n",
    "tre = toytree.tree(rax.trees.bipartitions)\n",
    "tre.draw(\n",
    "    width=350,\n",
    "    height=400,\n",
    "    node_labels=tre.get_node_values(\"support\"),\n",
    "    );"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### *tetrad* -- quartet tree inference "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "loading seq array [13 taxa x 174180 bp]\n",
      "max unlinked SNPs per quartet (nloci): 39149\n"
     ]
    }
   ],
   "source": [
    "## create a tetrad analysis object\n",
    "tet = ipa.tetrad(\n",
    "    name=min4.name, \n",
    "    seqfile=min4.outfiles.snpsphy,\n",
    "    mapfile=min4.outfiles.snpsmap,\n",
    "    nboots=100,\n",
    "    )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "host compute node: [20 cores] on tinus\n",
      "inferring 715 induced quartet trees\n",
      "[####################] 100%  initial tree | 0:00:05 |  \n",
      "[####################] 100%  boot 100     | 0:02:23 |  \n"
     ]
    }
   ],
   "source": [
    "## run tree inference\n",
    "tet.run(ipyclient)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "boots   ~/Documents/ipyrad/tests/analysis-tetrad/min4.boots\n",
       "cons    ~/Documents/ipyrad/tests/analysis-tetrad/min4.cons\n",
       "nhx     ~/Documents/ipyrad/tests/analysis-tetrad/min4.nhx\n",
       "tree    ~/Documents/ipyrad/tests/analysis-tetrad/min4.tree"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## access tree files\n",
    "tet.trees"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
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transform=\"translate(215.02260149550079,200.0)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">33413_thamno</text></g><g class=\"toyplot-Datum\" transform=\"translate(215.02260149550079,223.85496183206112)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">35236_rex</text></g><g class=\"toyplot-Datum\" transform=\"translate(215.02260149550079,247.70992366412216)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">30556_thamno</text></g><g class=\"toyplot-Datum\" transform=\"translate(215.02260149550079,271.56488549618319)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">35855_rex</text></g><g class=\"toyplot-Datum\" transform=\"translate(215.02260149550079,295.41984732824432)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">40578_rex</text></g><g class=\"toyplot-Datum\" transform=\"translate(215.02260149550079,319.27480916030538)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">38362_rex</text></g><g class=\"toyplot-Datum\" transform=\"translate(215.02260149550079,343.12977099236645)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">39618_rex</text></g></g></g><g class=\"toyplot-mark-Graph\" id=\"t5f489d3f8dda42789597b0cce01593cc\"><g class=\"toyplot-Edges\"><path d=\"M 50.0 128.435114504 L 50.0 68.7977099237\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(16.1%,15.3%,14.1%);stroke-linecap:round;stroke-opacity:1.0;stroke-width:2\"></path><path d=\"M 50.0 68.7977099237 L 187.51883458 68.7977099237\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(16.1%,15.3%,14.1%);stroke-linecap:round;stroke-opacity:1.0;stroke-width:2\"></path><path d=\"M 50.0 128.435114504 L 50.0 188.072519084\" 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       "            var uri = \"data:\" + mime_type + \";charset=\" + charset + \",\" + data;\n",
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       "})();</script></div></div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "## plot results (just like above, but unrooted by default)\n",
    "## the consensus tree here differs from the ML tree above.\n",
    "import toytree\n",
    "qtre = toytree.tree(tet.trees.nhx)\n",
    "qtre.root(wildcard=\"prz\")\n",
    "qtre.draw(\n",
    "    width=350,\n",
    "    height=400,\n",
    "    node_labels=qtre.get_node_values(\"support\"),\n",
    "    );"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### *STRUCTURE* -- population cluster inference"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "## conda install structure clumpp -c ipyrad"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "## create a structure analysis object for the no-outgroup data set\n",
    "struct = ipa.structure(\n",
    "    name=nouts.name, \n",
    "    data=nouts.outfiles.str, \n",
    "    mapfile=nouts.outfiles.snpsmap,    \n",
    ")\n",
    "\n",
    "## set params for analysis (should be longer in real analyses)\n",
    "struct.mainparams.burnin=1000\n",
    "struct.mainparams.numreps=8000"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "submitted 10 structure jobs [nouts_min11-K-2]\n",
      "submitted 10 structure jobs [nouts_min11-K-3]\n",
      "submitted 10 structure jobs [nouts_min11-K-4]\n",
      "submitted 10 structure jobs [nouts_min11-K-5]\n",
      "submitted 10 structure jobs [nouts_min11-K-6]\n"
     ]
    }
   ],
   "source": [
    "## run structure across 10 random replicates of sampled unlinked SNPs\n",
    "for kpop in [2, 3, 4, 5, 6]:\n",
    "    struct.run(kpop=kpop, nreps=10, ipyclient=ipyclient)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 115,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## wait for all of these jobs to finish\n",
    "ipyclient.wait()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "mean scores across 10 replicates.\n",
      "mean scores across 10 replicates.\n",
      "mean scores across 10 replicates.\n",
      "mean scores across 10 replicates.\n",
      "mean scores across 10 replicates.\n"
     ]
    }
   ],
   "source": [
    "## collect results\n",
    "tables = {}\n",
    "for kpop in [2, 3, 4, 5, 6]:\n",
    "    tables[kpop] = struct.get_clumpp_table(kpop)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "## custom sorting order\n",
    "myorder = [\n",
    "    \"41478_cyathophylloides\", \n",
    "    \"41954_cyathophylloides\", \n",
    "    \"29154_superba\",\n",
    "    \"30686_cyathophylla\", \n",
    "    \"33413_thamno\", \n",
    "    \"30556_thamno\", \n",
    "    \"35236_rex\", \n",
    "    \"40578_rex\", \n",
    "    \"35855_rex\",\n",
    "    \"39618_rex\", \n",
    "    \"38362_rex\",\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
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       "        {\n",
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       "                            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",
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       "            var axes = {};\n",
       "\n",
       "            function display_coordinates(e)\n",
       "            {\n",
       "                var current = canvas.createSVGPoint();\n",
       "                current.x = e.clientX;\n",
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       "                    var axis = document.querySelector(\"#\" + axis_id);\n",
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       "                            var domain = to_domain(local.x, projection);\n",
       "                            coordinates.style.visibility = \"visible\";\n",
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       "                            var text = coordinates.querySelector(\"text\");\n",
       "                            text.textContent = domain.toFixed(2);\n",
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       "                    }\n",
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       "            canvas.addEventListener(\"click\", display_coordinates);\n",
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       "            var module = {};\n",
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       "                axes[axis_id] = projection;\n",
       "            }\n",
       "\n",
       "            return module;\n",
       "        })(modules[\"toyplot/canvas\"]);\n",
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       "            {\n",
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       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
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       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
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       "                            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",
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       "            var axes = {};\n",
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       "                            var domain = to_domain(local.x, projection);\n",
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       "                            coordinates.setAttribute(\"transform\", \"translate(\" + local.x + \")\");\n",
       "                            var text = coordinates.querySelector(\"text\");\n",
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       "            canvas.addEventListener(\"click\", display_coordinates);\n",
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       "            var module = {};\n",
       "            module.show_coordinates = function(axis_id, projection)\n",
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       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
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       "        {\n",
       "            axis.show_coordinates(axis_id, projection);\n",
       "        })(modules[\"toyplot.coordinates.Axis\"],\"tfff7dc9b0a4948ab9390e9725ba51ea0\",[{\"domain\": {\"bounds\": {\"max\": Infinity, \"min\": -Infinity}, \"max\": 10.5, \"min\": -0.5}, \"range\": {\"bounds\": {\"max\": Infinity, \"min\": -Infinity}, \"max\": 300.0, \"min\": 0.0}, \"scale\": \"linear\"}]);\n",
       "})();</script></div></div>"
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       "            var module = {};\n",
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       "\n",
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       "            function choose_item()\n",
       "            {\n",
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       "        var items = [];\n",
       "\n",
       "        var ignore_mouseup = null;\n",
       "        function open_menu(e)\n",
       "        {\n",
       "            var show_menu = false;\n",
       "            for(var index=0; index != items.length; ++index)\n",
       "            {\n",
       "                var item = items[index];\n",
       "                if(item.show(e))\n",
       "                {\n",
       "                    item.item.style.display = \"block\";\n",
       "                    show_menu = true;\n",
       "                }\n",
       "                else\n",
       "                {\n",
       "                    item.item.style.display = \"none\";\n",
       "                }\n",
       "            }\n",
       "\n",
       "            if(show_menu)\n",
       "            {\n",
       "                ignore_mouseup = true;\n",
       "                menu.style.left = (e.clientX + 1) + \"px\";\n",
       "                menu.style.top = (e.clientY - 5) + \"px\";\n",
       "                menu.style.visibility = \"visible\";\n",
       "                e.stopPropagation();\n",
       "                e.preventDefault();\n",
       "            }\n",
       "        }\n",
       "\n",
       "        function close_menu()\n",
       "        {\n",
       "            menu.style.visibility = \"hidden\";\n",
       "        }\n",
       "\n",
       "        function contextmenu(e)\n",
       "        {\n",
       "            open_menu(e);\n",
       "        }\n",
       "\n",
       "        function mousemove(e)\n",
       "        {\n",
       "            ignore_mouseup = false;\n",
       "        }\n",
       "\n",
       "        function mouseup(e)\n",
       "        {\n",
       "            if(ignore_mouseup)\n",
       "            {\n",
       "                ignore_mouseup = false;\n",
       "                return;\n",
       "            }\n",
       "            close_menu();\n",
       "        }\n",
       "\n",
       "        function keydown(e)\n",
       "        {\n",
       "            if(e.key == \"Escape\" || e.key == \"Esc\" || e.keyCode == 27)\n",
       "            {\n",
       "                close_menu();\n",
       "            }\n",
       "        }\n",
       "\n",
       "        canvas.addEventListener(\"contextmenu\", contextmenu);\n",
       "        canvas.addEventListener(\"mousemove\", mousemove);\n",
       "        document.addEventListener(\"mouseup\", mouseup);\n",
       "        document.addEventListener(\"keydown\", keydown);\n",
       "\n",
       "        var module = {};\n",
       "        module.add_item = function(label, show, activate)\n",
       "        {\n",
       "            var wrapper = document.createElement(\"div\");\n",
       "            wrapper.innerHTML = \"<li class='toyplot-context-menu-item' style='background:#eee; color:#333; padding:2px 20px; list-style:none; margin:0; text-align:left;'>\" + label + \"</li>\"\n",
       "            var item = wrapper.firstChild;\n",
       "\n",
       "            items.push({item: item, show: show});\n",
       "\n",
       "            function mouseover()\n",
       "            {\n",
       "                this.style.background = \"steelblue\";\n",
       "                this.style.color = \"white\";\n",
       "            }\n",
       "\n",
       "            function mouseout()\n",
       "            {\n",
       "                this.style.background = \"#eee\";\n",
       "                this.style.color = \"#333\";\n",
       "            }\n",
       "\n",
       "            function choose_item(e)\n",
       "            {\n",
       "                close_menu();\n",
       "                activate();\n",
       "\n",
       "                e.stopPropagation();\n",
       "                e.preventDefault();\n",
       "            }\n",
       "\n",
       "            item.addEventListener(\"mouseover\", mouseover);\n",
       "            item.addEventListener(\"mouseout\", mouseout);\n",
       "            item.addEventListener(\"mouseup\", choose_item);\n",
       "            item.addEventListener(\"contextmenu\", choose_item);\n",
       "\n",
       "            menu.appendChild(item);\n",
       "        };\n",
       "        return module;\n",
       "    })(modules[\"toyplot/root\"],modules[\"toyplot/canvas\"]);\n",
       "modules[\"toyplot/io\"] = (function()\n",
       "    {\n",
       "        var module = {};\n",
       "        module.save_file = function(mime_type, charset, data, filename)\n",
       "        {\n",
       "            var uri = \"data:\" + mime_type + \";charset=\" + charset + \",\" + data;\n",
       "            uri = encodeURI(uri);\n",
       "\n",
       "            var link = document.createElement(\"a\");\n",
       "            if(typeof link.download != \"undefined\")\n",
       "            {\n",
       "              link.href = uri;\n",
       "              link.style = \"visibility:hidden\";\n",
       "              link.download = filename;\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",
       "        return module;\n",
       "    })();\n",
       "modules[\"toyplot.coordinates.Axis\"] = (\n",
       "        function(canvas)\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",
       "            var axes = {};\n",
       "\n",
       "            function display_coordinates(e)\n",
       "            {\n",
       "                var current = canvas.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",
       "            canvas.addEventListener(\"click\", display_coordinates);\n",
       "\n",
       "            var module = {};\n",
       "            module.show_coordinates = function(axis_id, projection)\n",
       "            {\n",
       "                axes[axis_id] = projection;\n",
       "            }\n",
       "\n",
       "            return module;\n",
       "        })(modules[\"toyplot/canvas\"]);\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t43f44135d02f4642998446caa91afe2d\",\"data\",\"bar data\",[\"left\", \"right\", \"baseline\", \"magnitude0\", \"magnitude1\", \"magnitude2\", \"magnitude3\", \"magnitude4\"],[[-0.5, 0.5, 1.5, 2.5, 3.5, 4.5, 5.5, 6.5, 7.5, 8.5, 9.5], [0.5, 1.5, 2.5, 3.5, 4.5, 5.5, 6.5, 7.5, 8.5, 9.5, 10.5], [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, 0.1409, 0.1664, 0.1753, 0.1861, 0.1914, 0.9877, 1.0], [1.0, 1.0, 0.0046, 0.0089, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.4414, 0.6838, 0.6203, 0.7973, 0.7881, 0.0122, 0.0], [0.0, 0.0, 0.8211, 0.9821, 0.01, 0.0, 0.0045, 0.0013, 0.0013, 0.0, 0.0], [0.0, 0.0, 0.1743, 0.009, 0.4077, 0.1498, 0.1999, 0.0153, 0.0192, 0.0001, 0.0]],\"toyplot\");\n",
       "(function(axis, axis_id, projection)\n",
       "        {\n",
       "            axis.show_coordinates(axis_id, projection);\n",
       "        })(modules[\"toyplot.coordinates.Axis\"],\"t992d15ca1fc648f0af75047baa0b09a0\",[{\"domain\": {\"bounds\": {\"max\": Infinity, \"min\": -Infinity}, \"max\": 10.5, \"min\": -0.5}, \"range\": {\"bounds\": {\"max\": Infinity, \"min\": -Infinity}, \"max\": 300.0, \"min\": 0.0}, \"scale\": \"linear\"}]);\n",
       "})();</script></div></div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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       "                this.style.color = \"white\";\n",
       "            }\n",
       "\n",
       "            function mouseout()\n",
       "            {\n",
       "                this.style.background = \"#eee\";\n",
       "                this.style.color = \"#333\";\n",
       "            }\n",
       "\n",
       "            function choose_item(e)\n",
       "            {\n",
       "                close_menu();\n",
       "                activate();\n",
       "\n",
       "                e.stopPropagation();\n",
       "                e.preventDefault();\n",
       "            }\n",
       "\n",
       "            item.addEventListener(\"mouseover\", mouseover);\n",
       "            item.addEventListener(\"mouseout\", mouseout);\n",
       "            item.addEventListener(\"mouseup\", choose_item);\n",
       "            item.addEventListener(\"contextmenu\", choose_item);\n",
       "\n",
       "            menu.appendChild(item);\n",
       "        };\n",
       "        return module;\n",
       "    })(modules[\"toyplot/root\"],modules[\"toyplot/canvas\"]);\n",
       "modules[\"toyplot/io\"] = (function()\n",
       "    {\n",
       "        var module = {};\n",
       "        module.save_file = function(mime_type, charset, data, filename)\n",
       "        {\n",
       "            var uri = \"data:\" + mime_type + \";charset=\" + charset + \",\" + data;\n",
       "            uri = encodeURI(uri);\n",
       "\n",
       "            var link = document.createElement(\"a\");\n",
       "            if(typeof link.download != \"undefined\")\n",
       "            {\n",
       "              link.href = uri;\n",
       "              link.style = \"visibility:hidden\";\n",
       "              link.download = filename;\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",
       "        return module;\n",
       "    })();\n",
       "modules[\"toyplot.coordinates.Axis\"] = (\n",
       "        function(canvas)\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",
       "            var axes = {};\n",
       "\n",
       "            function display_coordinates(e)\n",
       "            {\n",
       "                var current = canvas.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",
       "            canvas.addEventListener(\"click\", display_coordinates);\n",
       "\n",
       "            var module = {};\n",
       "            module.show_coordinates = function(axis_id, projection)\n",
       "            {\n",
       "                axes[axis_id] = projection;\n",
       "            }\n",
       "\n",
       "            return module;\n",
       "        })(modules[\"toyplot/canvas\"]);\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"td0e2f6efdebf4abdbf4834237985c718\",\"data\",\"bar data\",[\"left\", \"right\", \"baseline\", \"magnitude0\", \"magnitude1\", \"magnitude2\", \"magnitude3\", \"magnitude4\", \"magnitude5\"],[[-0.5, 0.5, 1.5, 2.5, 3.5, 4.5, 5.5, 6.5, 7.5, 8.5, 9.5], [0.5, 1.5, 2.5, 3.5, 4.5, 5.5, 6.5, 7.5, 8.5, 9.5, 10.5], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [1.0, 1.0, 0.0014, 0.0024, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0001, 0.0978, 0.0001, 0.0444, 0.2242, 0.0267, 0.0267, 0.0001, 0.0], [0.0, 0.0, 0.0, 0.0, 0.1356, 0.1601, 0.173, 0.1874, 0.1941, 0.9826, 1.0], [0.0, 0.0, 0.9985, 0.8981, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.2723, 0.7771, 0.4915, 0.7758, 0.7572, 0.0172, 0.0], [0.0, 0.0, 0.0, 0.0017, 0.592, 0.0184, 0.1113, 0.0101, 0.0219, 0.0001, 0.0]],\"toyplot\");\n",
       "(function(axis, axis_id, projection)\n",
       "        {\n",
       "            axis.show_coordinates(axis_id, projection);\n",
       "        })(modules[\"toyplot.coordinates.Axis\"],\"tb9afbfa4d27f4aefb72c4386a27fd79a\",[{\"domain\": {\"bounds\": {\"max\": Infinity, \"min\": -Infinity}, \"max\": 10.5, \"min\": -0.5}, \"range\": {\"bounds\": {\"max\": Infinity, \"min\": -Infinity}, \"max\": 300.0, \"min\": 0.0}, \"scale\": \"linear\"}]);\n",
       "})();</script></div></div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "## import toyplot (packaged with toytree) \n",
    "import toyplot\n",
    "\n",
    "## plot bars for each K-value (mean of 10 reps)\n",
    "for kpop in [2, 3, 4, 5, 6]:\n",
    "    table = tables[kpop]\n",
    "    table = table.ix[myorder]\n",
    "    \n",
    "    ## plot barplot w/ hover\n",
    "    canvas, axes, mark = toyplot.bars(\n",
    "                            table, \n",
    "                            title=[[i] for i in table.index.tolist()],\n",
    "                            width=400, \n",
    "                            height=200, \n",
    "                            yshow=False,                            \n",
    "                            style={\"stroke\": toyplot.color.near_black},\n",
    "                            )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### *TREEMIX* -- ML tree & admixture co-inference"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "## conda install treemix -c ipyrad"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "binary      treemix             \n",
       "bootstrap   0                   \n",
       "climb       0                   \n",
       "cormig      0                   \n",
       "g           (None, None)        \n",
       "global_     1                   \n",
       "k           0                   \n",
       "m           0                   \n",
       "noss        0                   \n",
       "root        prz                 \n",
       "se          0                   \n",
       "seed        737548365           "
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## group taxa into 'populations'\n",
    "imap = {\n",
    "    \"prz\": [\"32082_przewalskii\", \"33588_przewalskii\"],\n",
    "    \"cys\": [\"41478_cyathophylloides\", \"41954_cyathophylloides\"],\n",
    "    \"cya\": [\"30686_cyathophylla\"],\n",
    "    \"sup\": [\"29154_superba\"],\n",
    "    \"cup\": [\"33413_thamno\"],\n",
    "    \"tha\": [\"30556_thamno\"],\n",
    "    \"rck\": [\"35236_rex\"],\n",
    "    \"rex\": [\"35855_rex\", \"40578_rex\"],\n",
    "    \"lip\": [\"39618_rex\", \"38362_rex\"],  \n",
    "}\n",
    "\n",
    "## optional: loci will be filtered if they do not have data for at\n",
    "## least N samples in each species. Minimums cannot be <1.\n",
    "minmap = {\n",
    "    \"prz\": 2,\n",
    "    \"cys\": 2,\n",
    "    \"cya\": 1,\n",
    "    \"sup\": 1,\n",
    "    \"cup\": 1,\n",
    "    \"tha\": 1, \n",
    "    \"rck\": 1,\n",
    "    \"rex\": 2,\n",
    "    \"lip\": 2,\n",
    "    }\n",
    "\n",
    "## sets a random number seed\n",
    "import numpy\n",
    "numpy.random.seed(12349876)\n",
    "\n",
    "## create a treemix analysis object\n",
    "tmix = ipa.treemix(\n",
    "    name=min13.name, \n",
    "    data=min13.outfiles.snpsphy,\n",
    "    mapfile=min13.outfiles.snpsmap,\n",
    "    imap=imap,\n",
    "    minmap=minmap,  \n",
    "    )\n",
    "\n",
    "## you can set additional parameter args here\n",
    "tmix.params.root = \"prz\"\n",
    "tmix.params.global_ = 1\n",
    "\n",
    "## print the full params\n",
    "tmix.params"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "## a dictionary for storing treemix objects\n",
    "tdict = {}\n",
    "\n",
    "## iterate over values of m\n",
    "for rep in xrange(4):\n",
    "    for mig in xrange(4):\n",
    "        \n",
    "        ## create new treemix object copy\n",
    "        name = \"mig-{}-rep-{}\".format(mig, rep)\n",
    "        tmp = tmix.copy(name)\n",
    "\n",
    "        ## set params on new object\n",
    "        tmp.params.m = mig\n",
    "    \n",
    "        ## run treemix analysis\n",
    "        tmp.run()\n",
    "        \n",
    "        ## store the treemix object\n",
    "        tdict[name] = tmp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
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class=\"toyplot-Datum\" transform=\"translate(258.31256137192332,81.716417910447774)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">prz</text></g><g class=\"toyplot-Datum\" transform=\"translate(258.31256137192332,105.03731343283584)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">cys</text></g><g class=\"toyplot-Datum\" transform=\"translate(258.31256137192332,128.35820895522392)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">cya</text></g><g class=\"toyplot-Datum\" transform=\"translate(258.31256137192332,151.67910447761196)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">sup</text></g><g class=\"toyplot-Datum\" transform=\"translate(258.31256137192332,175.00000000000003)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">rck</text></g><g class=\"toyplot-Datum\" transform=\"translate(258.31256137192332,198.32089552238807)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">lip</text></g><g class=\"toyplot-Datum\" transform=\"translate(258.31256137192332,221.64179104477614)\"><text 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style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(258.31256137192332, 268.28358208955228)\"><circle r=\"0.0\"></circle></g></g></g><g class=\"toyplot-mark-Plot\" id=\"t033e6de5524e45e5976bc86183d71701\" style=\"fill:none;stroke-linecap:round;stroke-opacity:0.95;stroke-width:1.66766\"><g class=\"toyplot-Series\"><path d=\"M 185.77606080073315 122.79053682597768 L 251.081847382387 266.50031745197373\" style=\"stroke:rgb(40%,76.1%,64.7%);stroke-linecap:round;stroke-opacity:0.95;stroke-width:1.66766\"></path></g></g><g class=\"toyplot-mark-Scatterplot\" id=\"t594eb00298eb49b6aecb51243964bee0\"><g class=\"toyplot-Series\"><g class=\"toyplot-Datum\" 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\" transform=\"translate(251.081847382387, 266.50031745197373)\"><title>weight: 0.166766</title><circle r=\"4.0\"></circle></g></g></g></g><g class=\"toyplot-coordinates-Axis\" id=\"tf2d86b29297547eb9be5407b0f90097f\" transform=\"translate(75.0,275.0)translate(0,25.0)\"><line style=\"\" x1=\"10.779076797102295\" x2=\"183.31256137192332\" y1=\"0\" y2=\"0\"></line><g><line style=\"\" x1=\"0.0\" x2=\"0.0\" y1=\"0\" y2=\"-5\"></line><line style=\"\" x1=\"61.10418712397444\" x2=\"61.10418712397444\" y1=\"0\" y2=\"-5\"></line><line style=\"\" x1=\"122.20837424794888\" x2=\"122.20837424794888\" y1=\"0\" y2=\"-5\"></line><line style=\"\" x1=\"183.31256137192332\" x2=\"183.31256137192332\" y1=\"0\" y2=\"-5\"></line></g><g><g transform=\"translate(0.0,6)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:10.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-8.615\" y=\"8.555\">-0.3</text></g><g transform=\"translate(61.10418712397444,6)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:10.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-8.615\" y=\"8.555\">-0.2</text></g><g transform=\"translate(122.20837424794888,6)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:10.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-8.615\" y=\"8.555\">-0.1</text></g><g transform=\"translate(183.31256137192332,6)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:10.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-6.95\" y=\"8.555\">0.0</text></g></g><g transform=\"translate(100.0,22)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:bold;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-43.008\" y=\"10.266\">Drift parameter</text></g><g 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       "\n",
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       "\n",
       "        function mouseup(e)\n",
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       "            if(e.key == \"Escape\" || e.key == \"Esc\" || e.keyCode == 27)\n",
       "            {\n",
       "                close_menu();\n",
       "            }\n",
       "        }\n",
       "\n",
       "        canvas.addEventListener(\"contextmenu\", contextmenu);\n",
       "        canvas.addEventListener(\"mousemove\", mousemove);\n",
       "        document.addEventListener(\"mouseup\", mouseup);\n",
       "        document.addEventListener(\"keydown\", keydown);\n",
       "\n",
       "        var module = {};\n",
       "        module.add_item = function(label, show, activate)\n",
       "        {\n",
       "            var wrapper = document.createElement(\"div\");\n",
       "            wrapper.innerHTML = \"<li class='toyplot-context-menu-item' style='background:#eee; color:#333; padding:2px 20px; list-style:none; margin:0; text-align:left;'>\" + label + \"</li>\"\n",
       "            var item = wrapper.firstChild;\n",
       "\n",
       "            items.push({item: item, show: show});\n",
       "\n",
       "            function mouseover()\n",
       "            {\n",
       "                this.style.background = \"steelblue\";\n",
       "                this.style.color = \"white\";\n",
       "            }\n",
       "\n",
       "            function mouseout()\n",
       "            {\n",
       "                this.style.background = \"#eee\";\n",
       "                this.style.color = \"#333\";\n",
       "            }\n",
       "\n",
       "            function choose_item(e)\n",
       "            {\n",
       "                close_menu();\n",
       "                activate();\n",
       "\n",
       "                e.stopPropagation();\n",
       "                e.preventDefault();\n",
       "            }\n",
       "\n",
       "            item.addEventListener(\"mouseover\", mouseover);\n",
       "            item.addEventListener(\"mouseout\", mouseout);\n",
       "            item.addEventListener(\"mouseup\", choose_item);\n",
       "            item.addEventListener(\"contextmenu\", choose_item);\n",
       "\n",
       "            menu.appendChild(item);\n",
       "        };\n",
       "        return module;\n",
       "    })(modules[\"toyplot/root\"],modules[\"toyplot/canvas\"]);\n",
       "modules[\"toyplot/io\"] = (function()\n",
       "    {\n",
       "        var module = {};\n",
       "        module.save_file = function(mime_type, charset, data, filename)\n",
       "        {\n",
       "            var uri = \"data:\" + mime_type + \";charset=\" + charset + \",\" + data;\n",
       "            uri = encodeURI(uri);\n",
       "\n",
       "            var link = document.createElement(\"a\");\n",
       "            if(typeof link.download != \"undefined\")\n",
       "            {\n",
       "              link.href = uri;\n",
       "              link.style = \"visibility:hidden\";\n",
       "              link.download = filename;\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",
       "        return module;\n",
       "    })();\n",
       "modules[\"toyplot.coordinates.Axis\"] = (\n",
       "        function(canvas)\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",
       "            var axes = {};\n",
       "\n",
       "            function display_coordinates(e)\n",
       "            {\n",
       "                var current = canvas.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",
       "            canvas.addEventListener(\"click\", display_coordinates);\n",
       "\n",
       "            var module = {};\n",
       "            module.show_coordinates = function(axis_id, projection)\n",
       "            {\n",
       "                axes[axis_id] = projection;\n",
       "            }\n",
       "\n",
       "            return module;\n",
       "        })(modules[\"toyplot/canvas\"]);\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t99375a4cf0f74513a5586f958dc2f5d8\",\"vertex_data\",\"graph vertex data\",[\"x\", \"y\"],[[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.12988851199999998, -0.047888211999999986, -0.04879351199999998, -0.04498691199999999, -0.045598711999999986, -0.04548495199999997, -0.06372872999999998, -0.03418209999999999, 0.0], [8.0, 7.0, 6.0, 5.0, 4.0, 3.0, 2.0, 1.0, 0.0, 8.0, 7.0, 6.0, 5.0, 4.0, 3.0, 2.0, 1.0, 0.0]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t99375a4cf0f74513a5586f958dc2f5d8\",\"edge_data\",\"graph edge data\",[\"source\", \"target\"],[[0, 1, 2, 3, 4, 5, 6, 7, 8], [9, 10, 11, 12, 13, 14, 15, 16, 17]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"tc010709c858e45c4b9bacd75e75db1d3\",\"vertex_data\",\"graph vertex data\",[\"x\", \"y\"],[[-0.282359512, -0.12988851199999998, -0.11863001199999998, -0.09978441199999999, -0.08394511199999999, -0.08250135199999997, -0.08209162999999997, -0.07737659999999999, -0.12988851199999998, -0.047888211999999986, -0.04879351199999998, -0.04498691199999999, -0.045598711999999986, -0.04548495199999997, -0.06372872999999998, -0.03418209999999999, 0.0], [6.328125, 4.65625, 6.25, 5.5, 3.0625, 2.125, 1.25, 0.5, 8.0, 7.0, 6.0, 5.0, 4.0, 3.0, 2.0, 1.0, 0.0]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"tc010709c858e45c4b9bacd75e75db1d3\",\"edge_data\",\"graph edge data\",[\"source\", \"target\"],[[0, 2, 3, 3, 2, 1, 4, 5, 6, 7, 7, 6, 5, 4, 1, 0], [8, 9, 10, 11, 3, 2, 12, 13, 14, 15, 16, 7, 6, 5, 4, 1]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t033e6de5524e45e5976bc86183d71701\",\"data\",\"plot data\",[\"x\", \"y0\"],[[-0.11870954182570286, -0.01183341818272765], [6.238741780902077, 0.07646638765936764]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t594eb00298eb49b6aecb51243964bee0\",\"data\",\"scatterplot\",[\"x\", \"y0\"],[[-0.01183341818272765], [0.07646638765936764]],\"toyplot\");\n",
       "(function(axis, axis_id, projection)\n",
       "        {\n",
       "            axis.show_coordinates(axis_id, projection);\n",
       "        })(modules[\"toyplot.coordinates.Axis\"],\"tf2d86b29297547eb9be5407b0f90097f\",[{\"domain\": {\"bounds\": {\"max\": Infinity, \"min\": -Infinity}, \"max\": 0.027309812000639973, \"min\": -0.30000000000000004}, \"range\": {\"bounds\": {\"max\": Infinity, \"min\": -Infinity}, \"max\": 200.0, \"min\": 0.0}, \"scale\": \"linear\"}]);\n",
       "})();</script></div></div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import toyplot\n",
    "\n",
    "## select a single result\n",
    "tmp = tdict[\"mig-1-rep-1\"]\n",
    "\n",
    "## draw the tree similar to the Treemix plotting R code\n",
    "## this code is rather new and will be expanded in the future.\n",
    "canvas = toyplot.Canvas(width=350, height=350)\n",
    "axes = canvas.cartesian(padding=25, margin=75)\n",
    "axes = tmp.draw(axes)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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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\" transform=\"translate(126.0700321199399, 152.9237064413939)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" 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\" transform=\"translate(127.37590800559555, 173.13555966209083)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" 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\" transform=\"translate(119.55202301041987, 193.34741288278775)\"><circle r=\"0.0\"></circle></g></g></g><g class=\"toyplot-mark-Graph\" id=\"td62f420055e241dc82f14b2e3af98ae4\"><g class=\"toyplot-Edges\"><path d=\"M 25.0 65.4442792206 L 91.5655548591 31.6525871172\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(16.1%,15.3%,14.1%);stroke-linecap:round;stroke-opacity:1.0;stroke-width:2\"></path><path d=\"M 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style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(16.1%,15.3%,14.1%);stroke-linecap:round;stroke-opacity:1.0;stroke-width:2\"></path><path d=\"M 111.518579384 183.241486272 L 119.55202301 193.347412883\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(16.1%,15.3%,14.1%);stroke-linecap:round;stroke-opacity:1.0;stroke-width:2\"></path><path d=\"M 110.815696054 168.082596357 L 111.518579384 183.241486272\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(16.1%,15.3%,14.1%);stroke-linecap:round;stroke-opacity:1.0;stroke-width:2\"></path><path d=\"M 109.585834144 150.397224789 L 110.815696054 168.082596357\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(16.1%,15.3%,14.1%);stroke-linecap:round;stroke-opacity:1.0;stroke-width:2\"></path><path d=\"M 107.288764215 131.448612394 L 109.585834144 150.397224789\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(16.1%,15.3%,14.1%);stroke-linecap:round;stroke-opacity:1.0;stroke-width:2\"></path><path d=\"M 91.5655548591 99.2359713239 L 107.288764215 131.448612394\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(16.1%,15.3%,14.1%);stroke-linecap:round;stroke-opacity:1.0;stroke-width:2\"></path><path d=\"M 25.0 65.4442792206 L 91.5655548591 99.2359713239\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(16.1%,15.3%,14.1%);stroke-linecap:round;stroke-opacity:1.0;stroke-width:2\"></path><g class=\"toyplot-HeadMarkers\"></g><g class=\"toyplot-MiddleMarkers\"></g><g class=\"toyplot-TailMarkers\"></g></g><g class=\"toyplot-Vertices\"><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(25.0, 65.444279220564965)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" 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style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(109.5858341442115, 150.39722478880677)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(110.81569605354379, 168.08259635691658)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(111.51857938391863, 183.24148627243929)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(91.565554859055325, 31.652587117212242)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(128.90695276877398, 51.864440337909215)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(133.2483511611151, 72.076293558606139)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(129.1144654392204, 92.288146779303062)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(125.14599783096028, 112.50000000000003)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(129.54335542990071, 132.71185322069695)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(126.0700321199399, 152.9237064413939)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(127.37590800559555, 173.13555966209083)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(119.55202301041987, 193.34741288278775)\"><circle r=\"0.0\"></circle></g></g></g></g><g class=\"toyplot-coordinates-Axis\" id=\"t00f12a1eae984a7e84b8cfa83bec47d1\" transform=\"translate(25.0,200.0)translate(0,25.0)\"><line style=\"\" x1=\"0\" x2=\"108.24835116111511\" y1=\"0\" y2=\"0\"></line><g><line style=\"\" x1=\"21.18618609025177\" x2=\"21.18618609025177\" y1=\"0\" y2=\"-5\"></line><line style=\"\" x1=\"64.71726862568345\" x2=\"64.71726862568345\" y1=\"0\" y2=\"-5\"></line><line style=\"\" x1=\"108.24835116111511\" x2=\"108.24835116111511\" y1=\"0\" y2=\"-5\"></line></g><g><g transform=\"translate(21.18618609025177,6)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:10.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-8.615\" y=\"8.555\">-0.2</text></g><g transform=\"translate(64.71726862568345,6)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:10.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-8.615\" y=\"8.555\">-0.1</text></g><g transform=\"translate(108.24835116111511,6)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:10.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-6.95\" y=\"8.555\">0.0</text></g></g><g transform=\"translate(62.5,22)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:bold;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-43.008\" y=\"10.266\">Drift parameter</text></g><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><g class=\"toyplot-coordinates-Cartesian\" id=\"t5aea7511e37d459ba4c7fee784dee855\"><clipPath id=\"tb09fa668be08438c8d92c81b29b1109e\"><rect height=\"225.0\" width=\"175.0\" x=\"200.0\" y=\"0.0\"></rect></clipPath><g clip-path=\"url(#tb09fa668be08438c8d92c81b29b1109e)\"><g class=\"toyplot-mark-Text\" id=\"t59c1994f14004678b8d7bd692af1516b\"><g class=\"toyplot-Series\"><g class=\"toyplot-Datum\" transform=\"translate(333.24835116111507,31.652587117212242)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">prz</text></g><g class=\"toyplot-Datum\" transform=\"translate(333.24835116111507,51.864440337909215)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">cys</text></g><g class=\"toyplot-Datum\" transform=\"translate(333.24835116111507,72.076293558606139)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">cya</text></g><g class=\"toyplot-Datum\" transform=\"translate(333.24835116111507,92.288146779303062)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">sup</text></g><g class=\"toyplot-Datum\" transform=\"translate(333.24835116111507,112.50000000000003)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">cup</text></g><g class=\"toyplot-Datum\" transform=\"translate(333.24835116111507,132.71185322069695)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">tha</text></g><g class=\"toyplot-Datum\" transform=\"translate(333.24835116111507,152.9237064413939)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">lip</text></g><g class=\"toyplot-Datum\" transform=\"translate(333.24835116111507,173.13555966209083)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">rck</text></g><g class=\"toyplot-Datum\" transform=\"translate(333.24835116111507,193.34741288278775)\"><text 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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\" transform=\"translate(322.50808611271827, 193.34741288278775)\"><circle r=\"0.0\"></circle></g></g></g><g class=\"toyplot-mark-Graph\" id=\"ta449e97b83c14378957b70537c8a829e\"><g class=\"toyplot-Edges\"><path d=\"M 225.0 65.4442792206 L 292.251571598 31.6525871172\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(16.1%,15.3%,14.1%);stroke-linecap:round;stroke-opacity:1.0;stroke-width:2\"></path><path d=\"M 298.941960885 67.0233302534 L 329.793127998 51.8644403379\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(16.1%,15.3%,14.1%);stroke-linecap:round;stroke-opacity:1.0;stroke-width:2\"></path><path d=\"M 306.594187118 82.182220169 L 328.438605515 72.0762935586\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(16.1%,15.3%,14.1%);stroke-linecap:round;stroke-opacity:1.0;stroke-width:2\"></path><path d=\"M 306.594187118 82.182220169 L 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style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(16.1%,15.3%,14.1%);stroke-linecap:round;stroke-opacity:1.0;stroke-width:2\"></path><path d=\"M 312.753647397 150.397224789 L 313.113722361 168.082596357\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(16.1%,15.3%,14.1%);stroke-linecap:round;stroke-opacity:1.0;stroke-width:2\"></path><path d=\"M 310.452619666 131.448612394 L 312.753647397 150.397224789\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(16.1%,15.3%,14.1%);stroke-linecap:round;stroke-opacity:1.0;stroke-width:2\"></path><path d=\"M 292.251571598 99.2359713239 L 310.452619666 131.448612394\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(16.1%,15.3%,14.1%);stroke-linecap:round;stroke-opacity:1.0;stroke-width:2\"></path><path d=\"M 225.0 65.4442792206 L 292.251571598 99.2359713239\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(16.1%,15.3%,14.1%);stroke-linecap:round;stroke-opacity:1.0;stroke-width:2\"></path><g class=\"toyplot-HeadMarkers\"></g><g class=\"toyplot-MiddleMarkers\"></g><g class=\"toyplot-TailMarkers\"></g></g><g class=\"toyplot-Vertices\"><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(225.0, 65.444279220564965)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(292.2515715978592, 99.235971323917653)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(298.94196088507169, 67.023330253431908)\"><circle r=\"0.0\"></circle></g><g 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style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(314.69706730400708, 183.24148627243929)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(292.2515715978592, 31.652587117212242)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(329.7931279978514, 51.864440337909215)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(328.43860551540433, 72.076293558606139)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(326.56777344767363, 92.288146779303062)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(330.62915955601875, 112.50000000000003)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(333.24835116111507, 132.71185322069695)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(330.95965734354422, 152.9237064413939)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(331.86442779036787, 173.13555966209083)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(322.50808611271827, 193.34741288278775)\"><circle r=\"0.0\"></circle></g></g></g></g><g class=\"toyplot-coordinates-Axis\" id=\"t9c323dcb861d4369ab9341444a8084d1\" transform=\"translate(225.0,200.0)translate(0,25.0)\"><line style=\"\" x1=\"0\" x2=\"108.2483511611151\" y1=\"0\" y2=\"0\"></line><g><line style=\"\" x1=\"19.214106414861128\" x2=\"19.214106414861128\" y1=\"0\" y2=\"-5\"></line><line style=\"\" x1=\"63.73122878798812\" x2=\"63.73122878798812\" y1=\"0\" y2=\"-5\"></line><line style=\"\" x1=\"108.2483511611151\" x2=\"108.2483511611151\" y1=\"0\" y2=\"-5\"></line></g><g><g transform=\"translate(19.214106414861128,6)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:10.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-8.615\" y=\"8.555\">-0.2</text></g><g transform=\"translate(63.73122878798812,6)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:10.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-8.615\" y=\"8.555\">-0.1</text></g><g transform=\"translate(108.2483511611151,6)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:10.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-6.95\" y=\"8.555\">0.0</text></g></g><g transform=\"translate(62.5,22)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:bold;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-43.008\" y=\"10.266\">Drift parameter</text></g><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><g class=\"toyplot-coordinates-Cartesian\" id=\"t219e1f2009544ec7b28406fae66ed1bd\"><clipPath id=\"taf4be937498141159522094434aedd26\"><rect height=\"225.0\" width=\"175.0\" x=\"400.0\" y=\"0.0\"></rect></clipPath><g clip-path=\"url(#taf4be937498141159522094434aedd26)\"><g class=\"toyplot-mark-Text\" id=\"t111251bc44d347e2b5affb2e99341101\"><g class=\"toyplot-Series\"><g class=\"toyplot-Datum\" transform=\"translate(533.24835116111512,31.652587117212242)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">prz</text></g><g class=\"toyplot-Datum\" transform=\"translate(533.24835116111512,51.864440337909215)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">cys</text></g><g class=\"toyplot-Datum\" transform=\"translate(533.24835116111512,72.076293558606139)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">cya</text></g><g class=\"toyplot-Datum\" transform=\"translate(533.24835116111512,92.288146779303062)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">sup</text></g><g class=\"toyplot-Datum\" transform=\"translate(533.24835116111512,112.50000000000003)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">cup</text></g><g class=\"toyplot-Datum\" transform=\"translate(533.24835116111512,132.71185322069695)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">tha</text></g><g class=\"toyplot-Datum\" transform=\"translate(533.24835116111512,152.9237064413939)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">lip</text></g><g class=\"toyplot-Datum\" transform=\"translate(533.24835116111512,173.13555966209083)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">rck</text></g><g class=\"toyplot-Datum\" transform=\"translate(533.24835116111512,193.34741288278775)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">rex</text></g></g></g><g class=\"toyplot-mark-Graph\" id=\"tbbb72dcf3d154a6099aed797fce71561\"><g class=\"toyplot-Edges\"><path d=\"M 533.248351161 31.6525871172 L 495.104151379 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id=\"t03ec777e123347ec960b6211d51f486a\" transform=\"translate(425.0,200.0)translate(0,25.0)\"><line style=\"\" x1=\"0\" x2=\"108.24835116111507\" y1=\"0\" y2=\"0\"></line><g><line style=\"\" x1=\"19.95152086893125\" x2=\"19.95152086893125\" y1=\"0\" y2=\"-5\"></line><line style=\"\" x1=\"64.09993601502316\" x2=\"64.09993601502316\" y1=\"0\" y2=\"-5\"></line><line style=\"\" x1=\"108.24835116111507\" x2=\"108.24835116111507\" y1=\"0\" y2=\"-5\"></line></g><g><g transform=\"translate(19.95152086893125,6)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:10.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-8.615\" y=\"8.555\">-0.2</text></g><g transform=\"translate(64.09993601502316,6)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:10.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-8.615\" y=\"8.555\">-0.1</text></g><g transform=\"translate(108.24835116111507,6)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:10.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-6.95\" y=\"8.555\">0.0</text></g></g><g transform=\"translate(62.5,22)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:bold;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-43.008\" y=\"10.266\">Drift parameter</text></g><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><g class=\"toyplot-coordinates-Cartesian\" id=\"te664a9fea2db4218badd46eacdc66c4c\"><clipPath id=\"t5ea2e365a9b640f5a7316c6d3703e1cf\"><rect height=\"225.0\" width=\"175.0\" x=\"600.0\" y=\"0.0\"></rect></clipPath><g clip-path=\"url(#t5ea2e365a9b640f5a7316c6d3703e1cf)\"><g class=\"toyplot-mark-Text\" id=\"te37ccd6812f148168b8a467b7a764f14\"><g class=\"toyplot-Series\"><g class=\"toyplot-Datum\" transform=\"translate(733.24835116111501,31.652587117212242)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">prz</text></g><g class=\"toyplot-Datum\" transform=\"translate(733.24835116111501,51.864440337909215)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">cys</text></g><g class=\"toyplot-Datum\" transform=\"translate(733.24835116111501,72.076293558606139)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">cya</text></g><g class=\"toyplot-Datum\" transform=\"translate(733.24835116111501,92.288146779303062)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">sup</text></g><g class=\"toyplot-Datum\" transform=\"translate(733.24835116111501,112.50000000000003)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">cup</text></g><g class=\"toyplot-Datum\" transform=\"translate(733.24835116111501,132.71185322069695)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">tha</text></g><g class=\"toyplot-Datum\" transform=\"translate(733.24835116111501,152.9237064413939)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">lip</text></g><g class=\"toyplot-Datum\" transform=\"translate(733.24835116111501,173.13555966209083)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">rck</text></g><g class=\"toyplot-Datum\" transform=\"translate(733.24835116111501,193.34741288278775)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">rex</text></g></g></g><g class=\"toyplot-mark-Graph\" id=\"t5332b068dac548428e2eb0e283f79087\"><g class=\"toyplot-Edges\"><path d=\"M 733.248351161 31.6525871172 L 691.464832267 31.6525871172\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(66.3%,66.3%,66.3%);stroke-dasharray:2, 4;stroke-linecap:round;stroke-opacity:1.0;stroke-width:1\"></path><path d=\"M 733.248351161 51.8644403379 L 728.691464506 51.8644403379\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(66.3%,66.3%,66.3%);stroke-dasharray:2, 4;stroke-linecap:round;stroke-opacity:1.0;stroke-width:1\"></path><path d=\"M 733.248351161 72.0762935586 L 731.869667644 72.0762935586\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(66.3%,66.3%,66.3%);stroke-dasharray:2, 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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\" transform=\"translate(724.46055379582538, 193.34741288278775)\"><circle r=\"0.0\"></circle></g></g></g><g class=\"toyplot-mark-Graph\" id=\"t181d5bd2593843ac8afbac9854138521\"><g class=\"toyplot-Edges\"><path d=\"M 625.0 65.4442792206 L 691.464832267 31.6525871172\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(16.1%,15.3%,14.1%);stroke-linecap:round;stroke-opacity:1.0;stroke-width:2\"></path><path d=\"M 697.601352382 67.0233302534 L 728.691464506 51.8644403379\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(16.1%,15.3%,14.1%);stroke-linecap:round;stroke-opacity:1.0;stroke-width:2\"></path><path d=\"M 704.993432814 82.182220169 L 731.869667644 72.0762935586\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(16.1%,15.3%,14.1%);stroke-linecap:round;stroke-opacity:1.0;stroke-width:2\"></path><path d=\"M 704.993432814 82.182220169 L 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style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(16.1%,15.3%,14.1%);stroke-linecap:round;stroke-opacity:1.0;stroke-width:2\"></path><path d=\"M 712.577044124 150.397224789 L 713.86744787 168.082596357\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(16.1%,15.3%,14.1%);stroke-linecap:round;stroke-opacity:1.0;stroke-width:2\"></path><path d=\"M 709.712143893 131.448612394 L 712.577044124 150.397224789\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(16.1%,15.3%,14.1%);stroke-linecap:round;stroke-opacity:1.0;stroke-width:2\"></path><path d=\"M 691.464832267 99.2359713239 L 709.712143893 131.448612394\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(16.1%,15.3%,14.1%);stroke-linecap:round;stroke-opacity:1.0;stroke-width:2\"></path><path d=\"M 625.0 65.4442792206 L 691.464832267 99.2359713239\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(16.1%,15.3%,14.1%);stroke-linecap:round;stroke-opacity:1.0;stroke-width:2\"></path><g class=\"toyplot-HeadMarkers\"></g><g class=\"toyplot-MiddleMarkers\"></g><g class=\"toyplot-TailMarkers\"></g></g><g class=\"toyplot-Vertices\"><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(625.0, 65.444279220564965)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(691.4648322668188, 99.235971323917653)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(697.60135238184125, 67.023330253431908)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(704.99343281368533, 82.182220168954615)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(709.71214389293061, 131.4486123944034)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(712.5770441237463, 150.39722478880677)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(713.86744787039572, 168.08259635691658)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(714.18246190217997, 183.24148627243929)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(691.4648322668188, 31.652587117212242)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(728.69146450647725, 51.864440337909215)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(731.86966764351371, 72.076293558606139)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(730.61334242701878, 92.288146779303062)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(727.49759109860975, 112.50000000000003)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(732.54277035727785, 132.71185322069695)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(731.30914016403347, 152.9237064413939)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(733.24835116111501, 173.13555966209083)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(724.46055379582538, 193.34741288278775)\"><circle r=\"0.0\"></circle></g></g></g></g><g class=\"toyplot-coordinates-Axis\" id=\"t649c72f6557d4f66ab1ef73fa54bd073\" transform=\"translate(625.0,200.0)translate(0,25.0)\"><line style=\"\" x1=\"0\" x2=\"108.24835116111507\" y1=\"0\" y2=\"0\"></line><g><line style=\"\" x1=\"18.260154291628016\" x2=\"18.260154291628016\" y1=\"0\" y2=\"-5\"></line><line style=\"\" x1=\"63.25425272637154\" x2=\"63.25425272637154\" y1=\"0\" y2=\"-5\"></line><line style=\"\" x1=\"108.24835116111507\" x2=\"108.24835116111507\" y1=\"0\" y2=\"-5\"></line></g><g><g transform=\"translate(18.260154291628016,6)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:10.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-8.615\" y=\"8.555\">-0.2</text></g><g transform=\"translate(63.25425272637154,6)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:10.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-8.615\" y=\"8.555\">-0.1</text></g><g transform=\"translate(108.24835116111507,6)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:10.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-6.95\" y=\"8.555\">0.0</text></g></g><g transform=\"translate(62.5,22)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:bold;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-43.008\" y=\"10.266\">Drift parameter</text></g><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><g class=\"toyplot-coordinates-Cartesian\" id=\"tc2f36483fe3c4791a15c43c1f50b10dd\"><clipPath id=\"tca386c5158f348ab88bb35612884206f\"><rect height=\"225.0\" width=\"175.0\" x=\"0.0\" y=\"300.0\"></rect></clipPath><g clip-path=\"url(#tca386c5158f348ab88bb35612884206f)\"><g class=\"toyplot-mark-Text\" id=\"tec43f8b9578144128c832cd49409f565\"><g class=\"toyplot-Series\"><g class=\"toyplot-Datum\" transform=\"translate(133.2483511611151,331.65258711721225)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">prz</text></g><g class=\"toyplot-Datum\" transform=\"translate(133.2483511611151,351.86444033790923)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">cys</text></g><g class=\"toyplot-Datum\" transform=\"translate(133.2483511611151,372.07629355860615)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">sup</text></g><g class=\"toyplot-Datum\" transform=\"translate(133.2483511611151,392.28814677930308)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">cya</text></g><g class=\"toyplot-Datum\" transform=\"translate(133.2483511611151,412.5)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">cup</text></g><g class=\"toyplot-Datum\" transform=\"translate(133.2483511611151,432.71185322069698)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">tha</text></g><g class=\"toyplot-Datum\" transform=\"translate(133.2483511611151,452.9237064413939)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">rex</text></g><g class=\"toyplot-Datum\" transform=\"translate(133.2483511611151,473.13555966209083)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">lip</text></g><g class=\"toyplot-Datum\" transform=\"translate(133.2483511611151,493.34741288278775)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">rck</text></g></g></g><g class=\"toyplot-mark-Graph\" id=\"t94ecf66526da4a95b3e4c5280bdb653c\"><g class=\"toyplot-Edges\"><path d=\"M 133.248351161 331.652587117 L 91.5308362306 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style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(66.3%,66.3%,66.3%);stroke-dasharray:2, 4;stroke-linecap:round;stroke-opacity:1.0;stroke-width:1\"></path><path d=\"M 133.248351161 432.711853221 L 128.100536705 432.711853221\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(66.3%,66.3%,66.3%);stroke-dasharray:2, 4;stroke-linecap:round;stroke-opacity:1.0;stroke-width:1\"></path><path d=\"M 133.248351161 452.923706441 L 118.020506743 452.923706441\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(66.3%,66.3%,66.3%);stroke-dasharray:2, 4;stroke-linecap:round;stroke-opacity:1.0;stroke-width:1\"></path><path d=\"M 133.248351161 473.135559662 L 129.436814844 473.135559662\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(66.3%,66.3%,66.3%);stroke-dasharray:2, 4;stroke-linecap:round;stroke-opacity:1.0;stroke-width:1\"></path><path d=\"M 133.248351161 493.347412883 L 133.248351161 493.347412883\" 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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\" transform=\"translate(133.2483511611151, 473.13555966209083)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" 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\" transform=\"translate(133.2483511611151, 493.34741288278775)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" 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\" transform=\"translate(91.530836230605956, 331.65258711721225)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" 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\" transform=\"translate(127.64561352575016, 351.86444033790923)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" 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\" transform=\"translate(126.99441920136844, 372.07629355860615)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" 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\" transform=\"translate(124.59117070405452, 392.28814677930308)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" 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\" transform=\"translate(122.81313546628654, 412.5)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" 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\" transform=\"translate(128.10053670459342, 432.71185322069698)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" 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style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(16.1%,15.3%,14.1%);stroke-linecap:round;stroke-opacity:1.0;stroke-width:2\"></path><path d=\"M 91.5308362306 399.235971324 L 106.995713979 431.448612394\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(16.1%,15.3%,14.1%);stroke-linecap:round;stroke-opacity:1.0;stroke-width:2\"></path><path d=\"M 25.0 365.444279221 L 91.5308362306 399.235971324\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(16.1%,15.3%,14.1%);stroke-linecap:round;stroke-opacity:1.0;stroke-width:2\"></path><g class=\"toyplot-HeadMarkers\"></g><g class=\"toyplot-MiddleMarkers\"></g><g class=\"toyplot-TailMarkers\"></g></g><g class=\"toyplot-Vertices\"><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(25.0, 365.44427922056497)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" 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style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(128.10053670459342, 432.71185322069698)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(118.02050674275354, 452.9237064413939)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(129.43681484367147, 473.13555966209083)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(133.2483511611151, 493.34741288278775)\"><circle r=\"0.0\"></circle></g></g></g><g class=\"toyplot-mark-Plot\" id=\"t348a2c0e95b8437db876d9a188947ca2\" style=\"fill:none;stroke-linecap:round;stroke-opacity:0.95;stroke-width:0.325483\"><g class=\"toyplot-Series\"><path d=\"M 124.71619053392575 353.29134152135106 L 131.13640522895841 492.35835899493361\" style=\"stroke:rgb(40%,76.1%,64.7%);stroke-linecap:round;stroke-opacity:0.95;stroke-width:0.325483\"></path></g></g><g class=\"toyplot-mark-Scatterplot\" id=\"t89d2aa37800c4e9a8ee6768b052ed70c\"><g class=\"toyplot-Series\"><g class=\"toyplot-Datum\" 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\" transform=\"translate(131.13640522895841, 492.35835899493361)\"><title>weight: 0.0325483</title><circle r=\"4.0\"></circle></g></g></g></g><g class=\"toyplot-coordinates-Axis\" id=\"t1c096a35eb154855bf710da51a13ef94\" transform=\"translate(25.0,500.0)translate(0,25.0)\"><line style=\"\" x1=\"0\" x2=\"108.24835116111511\" y1=\"0\" y2=\"0\"></line><g><line style=\"\" x1=\"20.474483472513878\" x2=\"20.474483472513878\" y1=\"0\" y2=\"-5\"></line><line style=\"\" x1=\"64.3614173168145\" x2=\"64.3614173168145\" y1=\"0\" y2=\"-5\"></line><line style=\"\" x1=\"108.24835116111511\" x2=\"108.24835116111511\" y1=\"0\" y2=\"-5\"></line></g><g><g transform=\"translate(20.474483472513878,6)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:10.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-8.615\" y=\"8.555\">-0.2</text></g><g transform=\"translate(64.3614173168145,6)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:10.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-8.615\" y=\"8.555\">-0.1</text></g><g transform=\"translate(108.24835116111511,6)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:10.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-6.95\" y=\"8.555\">0.0</text></g></g><g transform=\"translate(62.5,22)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:bold;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-43.008\" y=\"10.266\">Drift parameter</text></g><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><g class=\"toyplot-coordinates-Cartesian\" id=\"t3ec9d8415bc04997b598eb3338f2bb25\"><clipPath id=\"t64bf3ab71e2f4b32b2cb1e6983f19dcd\"><rect height=\"225.0\" width=\"175.0\" x=\"200.0\" y=\"300.0\"></rect></clipPath><g clip-path=\"url(#t64bf3ab71e2f4b32b2cb1e6983f19dcd)\"><g class=\"toyplot-mark-Text\" id=\"t355e4bb8d6da4b8e930bebd578194d17\"><g class=\"toyplot-Series\"><g class=\"toyplot-Datum\" transform=\"translate(334.10814446376486,331.65258711721225)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">prz</text></g><g class=\"toyplot-Datum\" transform=\"translate(334.10814446376486,351.86444033790923)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">cys</text></g><g class=\"toyplot-Datum\" transform=\"translate(334.10814446376486,372.07629355860615)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">cya</text></g><g class=\"toyplot-Datum\" transform=\"translate(334.10814446376486,392.28814677930308)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">sup</text></g><g class=\"toyplot-Datum\" transform=\"translate(334.10814446376486,412.5)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">rck</text></g><g class=\"toyplot-Datum\" transform=\"translate(334.10814446376486,432.71185322069698)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">lip</text></g><g class=\"toyplot-Datum\" transform=\"translate(334.10814446376486,452.9237064413939)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">rex</text></g><g class=\"toyplot-Datum\" transform=\"translate(334.10814446376486,473.13555966209083)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">tha</text></g><g class=\"toyplot-Datum\" transform=\"translate(334.10814446376486,493.34741288278775)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">cup</text></g></g></g><g class=\"toyplot-mark-Graph\" id=\"tf10d43a09baa431f9e930c214ea7581a\"><g class=\"toyplot-Edges\"><path d=\"M 334.108144464 331.652587117 L 286.868496026 331.652587117\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(66.3%,66.3%,66.3%);stroke-dasharray:2, 4;stroke-linecap:round;stroke-opacity:1.0;stroke-width:1\"></path><path d=\"M 334.108144464 351.864440338 L 316.691497954 351.864440338\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(66.3%,66.3%,66.3%);stroke-dasharray:2, 4;stroke-linecap:round;stroke-opacity:1.0;stroke-width:1\"></path><path d=\"M 334.108144464 372.076293559 L 316.362245943 372.076293559\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(66.3%,66.3%,66.3%);stroke-dasharray:2, 4;stroke-linecap:round;stroke-opacity:1.0;stroke-width:1\"></path><path d=\"M 334.108144464 392.288146779 L 317.746682819 392.288146779\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(66.3%,66.3%,66.3%);stroke-dasharray:2, 4;stroke-linecap:round;stroke-opacity:1.0;stroke-width:1\"></path><path d=\"M 334.108144464 412.5 L 317.524174943 412.5\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(66.3%,66.3%,66.3%);stroke-dasharray:2, 4;stroke-linecap:round;stroke-opacity:1.0;stroke-width:1\"></path><path d=\"M 334.108144464 432.711853221 L 317.565548751 432.711853221\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(66.3%,66.3%,66.3%);stroke-dasharray:2, 4;stroke-linecap:round;stroke-opacity:1.0;stroke-width:1\"></path><path d=\"M 334.108144464 452.923706441 L 310.930399533 452.923706441\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(66.3%,66.3%,66.3%);stroke-dasharray:2, 4;stroke-linecap:round;stroke-opacity:1.0;stroke-width:1\"></path><path d=\"M 334.108144464 473.135559662 L 321.676326114 473.135559662\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(66.3%,66.3%,66.3%);stroke-dasharray:2, 4;stroke-linecap:round;stroke-opacity:1.0;stroke-width:1\"></path><path d=\"M 334.108144464 493.347412883 L 334.108144464 493.347412883\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(66.3%,66.3%,66.3%);stroke-dasharray:2, 4;stroke-linecap:round;stroke-opacity:1.0;stroke-width:1\"></path><g class=\"toyplot-HeadMarkers\"></g><g class=\"toyplot-MiddleMarkers\"></g><g class=\"toyplot-TailMarkers\"></g></g><g class=\"toyplot-Vertices\"><g class=\"toyplot-Datum\" 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\" transform=\"translate(334.10814446376486, 331.65258711721225)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" 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\" transform=\"translate(334.10814446376486, 351.86444033790923)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" 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\" transform=\"translate(334.10814446376486, 372.07629355860615)\"><circle 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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\" transform=\"translate(334.10814446376486, 473.13555966209083)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" 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\" transform=\"translate(334.10814446376486, 493.34741288278775)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" 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\" transform=\"translate(286.86849602550001, 331.65258711721225)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" 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\" transform=\"translate(316.69149795374022, 351.86444033790923)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" 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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\" transform=\"translate(310.9303995326573, 452.9237064413939)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" 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\" transform=\"translate(321.67632611418202, 473.13555966209083)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" 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\" transform=\"translate(334.10814446376486, 493.34741288278775)\"><circle r=\"0.0\"></circle></g></g></g><g class=\"toyplot-mark-Graph\" id=\"t0915c5b802984b568a2e0f6622d1b4b3\"><g class=\"toyplot-Edges\"><path d=\"M 231.415736377 365.444279221 L 286.868496026 331.652587117\" 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style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(231.41573637705105, 365.44427922056497)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(286.86849602550001, 399.23597132391768)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(290.96314284031769, 367.02333025343194)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(297.81717099800545, 382.18222016895459)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" 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style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(317.5241749429062, 412.5)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(317.56554875128683, 432.71185322069698)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(310.9303995326573, 452.9237064413939)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(321.67632611418202, 473.13555966209083)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(334.10814446376486, 493.34741288278775)\"><circle r=\"0.0\"></circle></g></g></g><g class=\"toyplot-mark-Plot\" id=\"t115b815e3705430cbc76ccecb8855f78\" style=\"fill:none;stroke-linecap:round;stroke-opacity:0.95;stroke-width:1.66766\"><g class=\"toyplot-Series\"><path d=\"M 290.9342183346111 367.25087972536556 L 329.80440346182758 491.80188547909972\" style=\"stroke:rgb(40%,76.1%,64.7%);stroke-linecap:round;stroke-opacity:0.95;stroke-width:1.66766\"></path></g></g><g class=\"toyplot-mark-Scatterplot\" id=\"t6acfa6bae19147c3a7b77672dcdd0465\"><g class=\"toyplot-Series\"><g class=\"toyplot-Datum\" 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\" transform=\"translate(329.80440346182758, 491.80188547909972)\"><title>weight: 0.166766</title><circle r=\"4.0\"></circle></g></g></g></g><g class=\"toyplot-coordinates-Axis\" id=\"te603652cc1634537a22f245d3bea522c\" transform=\"translate(225.0,500.0)translate(0,25.0)\"><line style=\"\" x1=\"6.415736377051058\" x2=\"109.10814446376486\" y1=\"0\" y2=\"0\"></line><g><line style=\"\" x1=\"0.0\" x2=\"0.0\" y1=\"0\" y2=\"-5\"></line><line style=\"\" x1=\"36.36938148792162\" x2=\"36.36938148792162\" y1=\"0\" y2=\"-5\"></line><line style=\"\" x1=\"72.73876297584324\" x2=\"72.73876297584324\" y1=\"0\" y2=\"-5\"></line><line style=\"\" x1=\"109.10814446376486\" x2=\"109.10814446376486\" y1=\"0\" y2=\"-5\"></line></g><g><g transform=\"translate(0.0,6)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:10.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-8.615\" y=\"8.555\">-0.3</text></g><g transform=\"translate(36.36938148792162,6)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:10.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-8.615\" y=\"8.555\">-0.2</text></g><g transform=\"translate(72.73876297584324,6)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:10.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-8.615\" y=\"8.555\">-0.1</text></g><g transform=\"translate(109.10814446376486,6)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:10.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-6.95\" y=\"8.555\">0.0</text></g></g><g transform=\"translate(62.5,22)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:bold;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-43.008\" y=\"10.266\">Drift parameter</text></g><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><g class=\"toyplot-coordinates-Cartesian\" id=\"t6f374615683f46189a1f2775781546bf\"><clipPath id=\"t6f930dbc9cc04aaabc4a73fc3ea177b0\"><rect height=\"225.0\" width=\"175.0\" x=\"400.0\" y=\"300.0\"></rect></clipPath><g clip-path=\"url(#t6f930dbc9cc04aaabc4a73fc3ea177b0)\"><g class=\"toyplot-mark-Text\" id=\"t4e838694aa3548c38cfa0db520bd3e79\"><g class=\"toyplot-Series\"><g class=\"toyplot-Datum\" transform=\"translate(533.32170806506554,331.65258711721225)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">prz</text></g><g class=\"toyplot-Datum\" transform=\"translate(533.32170806506554,351.86444033790923)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">cys</text></g><g class=\"toyplot-Datum\" transform=\"translate(533.32170806506554,372.07629355860615)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">sup</text></g><g class=\"toyplot-Datum\" transform=\"translate(533.32170806506554,392.28814677930308)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">cya</text></g><g class=\"toyplot-Datum\" transform=\"translate(533.32170806506554,412.5)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">cup</text></g><g class=\"toyplot-Datum\" transform=\"translate(533.32170806506554,432.71185322069698)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">lip</text></g><g class=\"toyplot-Datum\" transform=\"translate(533.32170806506554,452.9237064413939)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">tha</text></g><g class=\"toyplot-Datum\" transform=\"translate(533.32170806506554,473.13555966209083)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">rex</text></g><g class=\"toyplot-Datum\" transform=\"translate(533.32170806506554,493.34741288278775)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">rck</text></g></g></g><g class=\"toyplot-mark-Graph\" id=\"t3229f7bbe3db41e899e19d07cfa9bb63\"><g class=\"toyplot-Edges\"><path d=\"M 533.321708065 331.652587117 L 533.321708065 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style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(425.54738569808876, 365.44427922056497)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(426.65847395422458, 399.23597132391768)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(432.30532070289246, 367.02333025343194)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(437.92671185016508, 382.18222016895459)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" 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style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(533.32170806506554, 331.65258711721225)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(461.61316700210079, 351.86444033790923)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(456.92590615794529, 372.07629355860615)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(457.30867896701125, 392.28814677930308)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(453.57259104137506, 412.5)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(454.44070648487377, 432.71185322069698)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(461.0755771971447, 452.9237064413939)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(449.75611396546026, 473.13555966209083)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(463.70451977681864, 493.34741288278775)\"><circle r=\"0.0\"></circle></g></g></g><g class=\"toyplot-mark-Plot\" id=\"t6a1c6477570142b59fad9b50ea760257\" style=\"fill:none;stroke-linecap:round;stroke-opacity:0.95;stroke-width:0.958665\"><g class=\"toyplot-Series\"><path d=\"M 514.37999514032379 337.59159482336599 L 461.49746324549471 492.23344302723427\" style=\"stroke:rgb(40%,76.1%,64.7%);stroke-linecap:round;stroke-opacity:0.95;stroke-width:0.958665\"></path></g></g><g class=\"toyplot-mark-Scatterplot\" id=\"t2e6b0f403ca84180b79f373e3a88e8d0\"><g class=\"toyplot-Series\"><g class=\"toyplot-Datum\" 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\" transform=\"translate(461.49746324549471, 492.23344302723427)\"><title>weight: 0.0958665</title><circle r=\"4.0\"></circle></g></g></g></g><g class=\"toyplot-coordinates-Axis\" id=\"t701bc0fb2dd448e195d49892afcc0664\" transform=\"translate(425.0,500.0)translate(0,25.0)\"><line style=\"\" x1=\"0.5473856980888041\" x2=\"108.32170806506556\" y1=\"0\" y2=\"0\"></line><g><line style=\"\" x1=\"0.0\" x2=\"0.0\" y1=\"0\" y2=\"-5\"></line><line style=\"\" x1=\"36.10723602168852\" x2=\"36.10723602168852\" y1=\"0\" y2=\"-5\"></line><line style=\"\" x1=\"72.21447204337704\" x2=\"72.21447204337704\" y1=\"0\" y2=\"-5\"></line><line style=\"\" x1=\"108.32170806506556\" x2=\"108.32170806506556\" y1=\"0\" y2=\"-5\"></line></g><g><g transform=\"translate(0.0,6)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:10.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-8.615\" y=\"8.555\">-0.3</text></g><g transform=\"translate(36.10723602168852,6)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:10.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-8.615\" y=\"8.555\">-0.2</text></g><g transform=\"translate(72.21447204337704,6)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:10.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-8.615\" y=\"8.555\">-0.1</text></g><g transform=\"translate(108.32170806506556,6)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:10.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-6.95\" y=\"8.555\">0.0</text></g></g><g transform=\"translate(62.5,22)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:bold;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-43.008\" y=\"10.266\">Drift parameter</text></g><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><g class=\"toyplot-coordinates-Cartesian\" id=\"te9ea0f3085304eaa8dd3180b89ae4246\"><clipPath id=\"tfd14832f749643eba6fe9ab7ab01b445\"><rect height=\"225.0\" width=\"175.0\" x=\"600.0\" y=\"300.0\"></rect></clipPath><g clip-path=\"url(#tfd14832f749643eba6fe9ab7ab01b445)\"><g class=\"toyplot-mark-Text\" id=\"tcce13265cb3b450b91100960c0b7c0a7\"><g class=\"toyplot-Series\"><g class=\"toyplot-Datum\" transform=\"translate(733.36709778841941,331.65258711721225)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">prz</text></g><g class=\"toyplot-Datum\" transform=\"translate(733.36709778841941,351.86444033790923)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">cys</text></g><g class=\"toyplot-Datum\" transform=\"translate(733.36709778841941,372.07629355860615)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">cya</text></g><g class=\"toyplot-Datum\" transform=\"translate(733.36709778841941,392.28814677930308)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">sup</text></g><g class=\"toyplot-Datum\" transform=\"translate(733.36709778841941,412.5)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">cup</text></g><g class=\"toyplot-Datum\" transform=\"translate(733.36709778841941,432.71185322069698)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">tha</text></g><g class=\"toyplot-Datum\" transform=\"translate(733.36709778841941,452.9237064413939)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">lip</text></g><g class=\"toyplot-Datum\" transform=\"translate(733.36709778841941,473.13555966209083)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">rck</text></g><g class=\"toyplot-Datum\" transform=\"translate(733.36709778841941,493.34741288278775)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">rex</text></g></g></g><g class=\"toyplot-mark-Graph\" id=\"te2c2ea92c5a04f4b8143f096fc745206\"><g class=\"toyplot-Edges\"><path d=\"M 733.367097788 331.652587117 L 733.367097788 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style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(16.1%,15.3%,14.1%);stroke-linecap:round;stroke-opacity:1.0;stroke-width:2\"></path><path d=\"M 642.711511238 431.448612394 L 644.210090935 450.397224789\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(16.1%,15.3%,14.1%);stroke-linecap:round;stroke-opacity:1.0;stroke-width:2\"></path><path d=\"M 627.849541734 399.235971324 L 642.711511238 431.448612394\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(16.1%,15.3%,14.1%);stroke-linecap:round;stroke-opacity:1.0;stroke-width:2\"></path><path d=\"M 625.886081636 365.444279221 L 627.849541734 399.235971324\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(16.1%,15.3%,14.1%);stroke-linecap:round;stroke-opacity:1.0;stroke-width:2\"></path><g class=\"toyplot-HeadMarkers\"></g><g class=\"toyplot-MiddleMarkers\"></g><g class=\"toyplot-TailMarkers\"></g></g><g class=\"toyplot-Vertices\"><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(625.88608163624997, 365.44427922056497)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(627.84954173423921, 399.23597132391768)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(632.79783627581992, 367.02333025343194)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(636.33551269325221, 382.18222016895459)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(642.71151123806612, 431.44861239440337)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(644.21009093548946, 450.3972247888068)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(645.16071601518217, 468.08259635691661)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(646.16609898938748, 483.24148627243926)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(733.36709778841941, 331.65258711721225)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(659.59174569347044, 351.86444033790923)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(657.60558991296762, 372.07629355860615)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(656.75624472286802, 392.28814677930308)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(659.43280728338073, 412.5)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(661.02075371411354, 432.71185322069698)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(659.03004290326703, 452.9237064413939)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(664.21684259037033, 473.13555966209083)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(652.22660117793657, 493.34741288278775)\"><circle r=\"0.0\"></circle></g></g></g><g class=\"toyplot-mark-Plot\" id=\"t94f2d764e74149fe949638ce9bc6caba\" style=\"fill:none;stroke-linecap:round;stroke-opacity:0.95;stroke-width:0.65454\"><g class=\"toyplot-Series\"><path d=\"M 714.53441101127919 337.57352437510923 L 662.42175435615343 474.14056147005562\" style=\"stroke:rgb(40%,76.1%,64.7%);stroke-linecap:round;stroke-opacity:0.95;stroke-width:0.65454\"></path></g></g><g class=\"toyplot-mark-Scatterplot\" id=\"t26046a28f065471cbb9a5f62954b9938\"><g class=\"toyplot-Series\"><g class=\"toyplot-Datum\" 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\" transform=\"translate(662.42175435615343, 474.14056147005562)\"><title>weight: 0.065454</title><circle r=\"4.0\"></circle></g></g></g></g><g class=\"toyplot-coordinates-Axis\" id=\"t351060ee12bd448c93570ccf4a6a7d1a\" transform=\"translate(625.0,500.0)translate(0,25.0)\"><line style=\"\" x1=\"0.88608163624999\" x2=\"108.36709778841944\" y1=\"0\" y2=\"0\"></line><g><line style=\"\" x1=\"0.0\" x2=\"0.0\" y1=\"0\" y2=\"-5\"></line><line style=\"\" x1=\"36.12236592947314\" x2=\"36.12236592947314\" y1=\"0\" y2=\"-5\"></line><line style=\"\" x1=\"72.24473185894628\" x2=\"72.24473185894628\" y1=\"0\" y2=\"-5\"></line><line style=\"\" x1=\"108.36709778841944\" x2=\"108.36709778841944\" y1=\"0\" y2=\"-5\"></line></g><g><g transform=\"translate(0.0,6)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:10.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-8.615\" y=\"8.555\">-0.3</text></g><g transform=\"translate(36.12236592947314,6)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:10.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-8.615\" y=\"8.555\">-0.2</text></g><g transform=\"translate(72.24473185894628,6)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:10.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-8.615\" y=\"8.555\">-0.1</text></g><g transform=\"translate(108.36709778841944,6)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:10.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-6.95\" y=\"8.555\">0.0</text></g></g><g transform=\"translate(62.5,22)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:bold;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-43.008\" y=\"10.266\">Drift parameter</text></g><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><g class=\"toyplot-coordinates-Cartesian\" id=\"t8b241774a7fe47e297d0355a123fda3b\"><clipPath id=\"t20d98ae5207f4f1eb522083cd9e4f30f\"><rect height=\"225.0\" width=\"175.0\" x=\"0.0\" y=\"600.0\"></rect></clipPath><g clip-path=\"url(#t20d98ae5207f4f1eb522083cd9e4f30f)\"><g class=\"toyplot-mark-Text\" id=\"t5e434874887e46429b4a528bc8d003fc\"><g class=\"toyplot-Series\"><g class=\"toyplot-Datum\" transform=\"translate(135.54710977995177,631.65258711721231)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">prz</text></g><g class=\"toyplot-Datum\" transform=\"translate(135.54710977995177,651.86444033790917)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">cys</text></g><g class=\"toyplot-Datum\" transform=\"translate(135.54710977995177,672.07629355860615)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">sup</text></g><g class=\"toyplot-Datum\" transform=\"translate(135.54710977995177,692.28814677930313)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">cya</text></g><g class=\"toyplot-Datum\" transform=\"translate(135.54710977995177,712.5)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">cup</text></g><g class=\"toyplot-Datum\" transform=\"translate(135.54710977995177,732.71185322069698)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">tha</text></g><g class=\"toyplot-Datum\" transform=\"translate(135.54710977995177,752.92370644139396)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">rex</text></g><g class=\"toyplot-Datum\" transform=\"translate(135.54710977995177,773.13555966209083)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">lip</text></g><g class=\"toyplot-Datum\" transform=\"translate(135.54710977995177,793.34741288278781)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">rck</text></g></g></g><g class=\"toyplot-mark-Graph\" id=\"t007585557c4441d4ad253854847bea57\"><g class=\"toyplot-Edges\"><path d=\"M 135.54710978 631.652587117 L 135.54710978 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style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(81.734545492827721, 731.44861239440343)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(84.449814657953866, 750.39722478880674)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(85.509025475214145, 768.08259635691661)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(86.686370618888915, 783.24148627243926)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(135.54710977995177, 631.65258711721231)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(91.68824410645118, 651.86444033790917)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(91.516711841109284, 672.07629355860615)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(88.193076136538437, 692.28814677930313)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(97.419448465882979, 712.5)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(100.02442846448534, 732.71185322069698)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(91.918436353145964, 752.92370644139396)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(100.95439128589456, 773.13555966209083)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(100.23056566009203, 793.34741288278781)\"><circle r=\"0.0\"></circle></g></g></g><g class=\"toyplot-mark-Plot\" id=\"t0d167080e0184f6f86cdc4c32dff0257\" style=\"fill:none;stroke-linecap:round;stroke-opacity:0.95;stroke-width:0.345748\"><g class=\"toyplot-Series\"><path d=\"M 121.54888216628062 636.71741343211204 L 86.681355095598263 783.17690897678358\" style=\"stroke:rgb(40%,76.1%,64.7%);stroke-linecap:round;stroke-opacity:0.95;stroke-width:0.345748\"></path></g></g><g class=\"toyplot-mark-Scatterplot\" id=\"t6c0c2b1179f24f33b05a2ec678bb4dfd\"><g class=\"toyplot-Series\"><g class=\"toyplot-Datum\" 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\" transform=\"translate(86.681355095598263, 783.17690897678358)\"><title>weight: 0.0345748</title><circle r=\"4.0\"></circle></g></g></g><g class=\"toyplot-mark-Plot\" id=\"t772cf3af85b24803b0732c6abc4729db\" style=\"fill:none;stroke-linecap:round;stroke-opacity:0.95;stroke-width:1.78132\"><g class=\"toyplot-Series\"><path d=\"M 86.624789231464064 691.35775330430556 L 80.808615779138194 730.17005274251619\" style=\"stroke:rgb(98.8%,55.3%,38.4%);stroke-linecap:round;stroke-opacity:0.95;stroke-width:1.78132\"></path></g></g><g class=\"toyplot-mark-Scatterplot\" id=\"tf1a71ee2d9c0407fa80d17fd62d01c1c\"><g class=\"toyplot-Series\"><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(80.808615779138194, 730.17005274251619)\"><title>weight: 0.178132</title><circle r=\"4.0\"></circle></g></g></g></g><g class=\"toyplot-coordinates-Axis\" id=\"t3819ee8b79cb446bba8391dce46eafad\" transform=\"translate(25.0,800.0)translate(0,25.0)\"><line style=\"\" x1=\"17.15322653418919\" x2=\"110.54710977995174\" y1=\"0\" y2=\"0\"></line><g><line style=\"\" x1=\"0.0\" x2=\"0.0\" y1=\"0\" y2=\"-5\"></line><line style=\"\" x1=\"36.849036593317244\" x2=\"36.849036593317244\" y1=\"0\" y2=\"-5\"></line><line style=\"\" x1=\"73.69807318663449\" x2=\"73.69807318663449\" y1=\"0\" y2=\"-5\"></line><line style=\"\" x1=\"110.54710977995174\" x2=\"110.54710977995174\" y1=\"0\" y2=\"-5\"></line></g><g><g transform=\"translate(0.0,6)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:10.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-8.615\" y=\"8.555\">-0.3</text></g><g transform=\"translate(36.849036593317244,6)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:10.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-8.615\" y=\"8.555\">-0.2</text></g><g transform=\"translate(73.69807318663449,6)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:10.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-8.615\" y=\"8.555\">-0.1</text></g><g transform=\"translate(110.54710977995174,6)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:10.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-6.95\" y=\"8.555\">0.0</text></g></g><g transform=\"translate(62.5,22)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:bold;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-43.008\" y=\"10.266\">Drift parameter</text></g><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><g class=\"toyplot-coordinates-Cartesian\" id=\"ted0f529dc21e460ea704dd658f410cee\"><clipPath id=\"t0192ec19f70c4c2a9e34f0bde72bcfcb\"><rect height=\"225.0\" width=\"175.0\" x=\"200.0\" y=\"600.0\"></rect></clipPath><g clip-path=\"url(#t0192ec19f70c4c2a9e34f0bde72bcfcb)\"><g class=\"toyplot-mark-Text\" id=\"t4a7a747ff3df4e80bcbc64557a7d359e\"><g class=\"toyplot-Series\"><g class=\"toyplot-Datum\" transform=\"translate(333.24835116111512,631.65258711721231)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">prz</text></g><g class=\"toyplot-Datum\" transform=\"translate(333.24835116111512,651.86444033790917)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">cys</text></g><g class=\"toyplot-Datum\" transform=\"translate(333.24835116111512,672.07629355860615)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">cya</text></g><g class=\"toyplot-Datum\" transform=\"translate(333.24835116111512,692.28814677930313)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">sup</text></g><g class=\"toyplot-Datum\" transform=\"translate(333.24835116111512,712.5)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">cup</text></g><g class=\"toyplot-Datum\" transform=\"translate(333.24835116111512,732.71185322069698)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">tha</text></g><g class=\"toyplot-Datum\" transform=\"translate(333.24835116111512,752.92370644139396)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">rex</text></g><g class=\"toyplot-Datum\" transform=\"translate(333.24835116111512,773.13555966209083)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">rck</text></g><g class=\"toyplot-Datum\" transform=\"translate(333.24835116111512,793.34741288278781)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">lip</text></g></g></g><g class=\"toyplot-mark-Graph\" id=\"t38fb0de8c35e4d7dacf3ee4a1ad2b818\"><g class=\"toyplot-Edges\"><path d=\"M 333.248351161 631.652587117 L 293.859584079 631.652587117\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(66.3%,66.3%,66.3%);stroke-dasharray:2, 4;stroke-linecap:round;stroke-opacity:1.0;stroke-width:1\"></path><path d=\"M 333.248351161 651.864440338 L 332.11616044 651.864440338\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(66.3%,66.3%,66.3%);stroke-dasharray:2, 4;stroke-linecap:round;stroke-opacity:1.0;stroke-width:1\"></path><path d=\"M 333.248351161 672.076293559 L 328.792791811 672.076293559\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(66.3%,66.3%,66.3%);stroke-dasharray:2, 4;stroke-linecap:round;stroke-opacity:1.0;stroke-width:1\"></path><path d=\"M 333.248351161 692.288146779 L 333.187443584 692.288146779\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(66.3%,66.3%,66.3%);stroke-dasharray:2, 4;stroke-linecap:round;stroke-opacity:1.0;stroke-width:1\"></path><path d=\"M 333.248351161 712.5 L 328.355912688 712.5\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(66.3%,66.3%,66.3%);stroke-dasharray:2, 4;stroke-linecap:round;stroke-opacity:1.0;stroke-width:1\"></path><path d=\"M 333.248351161 732.711853221 L 333.248351161 732.711853221\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(66.3%,66.3%,66.3%);stroke-dasharray:2, 4;stroke-linecap:round;stroke-opacity:1.0;stroke-width:1\"></path><path d=\"M 333.248351161 752.923706441 L 323.496378768 752.923706441\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(66.3%,66.3%,66.3%);stroke-dasharray:2, 4;stroke-linecap:round;stroke-opacity:1.0;stroke-width:1\"></path><path d=\"M 333.248351161 773.135559662 L 333.047180058 773.135559662\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(66.3%,66.3%,66.3%);stroke-dasharray:2, 4;stroke-linecap:round;stroke-opacity:1.0;stroke-width:1\"></path><path d=\"M 333.248351161 793.347412883 L 332.875560063 793.347412883\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(66.3%,66.3%,66.3%);stroke-dasharray:2, 4;stroke-linecap:round;stroke-opacity:1.0;stroke-width:1\"></path><g class=\"toyplot-HeadMarkers\"></g><g class=\"toyplot-MiddleMarkers\"></g><g class=\"toyplot-TailMarkers\"></g></g><g class=\"toyplot-Vertices\"><g class=\"toyplot-Datum\" 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\" transform=\"translate(333.24835116111512, 631.65258711721231)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" 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\" transform=\"translate(333.24835116111512, 651.86444033790917)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" 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\" transform=\"translate(333.24835116111512, 672.07629355860615)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" 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\" transform=\"translate(333.24835116111512, 692.28814677930313)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" 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\" transform=\"translate(333.24835116111512, 712.5)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" 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\" transform=\"translate(333.24835116111512, 732.71185322069698)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" 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\" transform=\"translate(333.24835116111512, 752.92370644139396)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" 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\" transform=\"translate(333.24835116111512, 773.13555966209083)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" 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\" transform=\"translate(333.24835116111512, 793.34741288278781)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" 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\" transform=\"translate(293.85958407852229, 631.65258711721231)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" 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\" transform=\"translate(332.11616043984463, 651.86444033790917)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" 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\" transform=\"translate(328.79279181101839, 672.07629355860615)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" 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\" transform=\"translate(333.18744358437874, 692.28814677930313)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" 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\" transform=\"translate(328.35591268839346, 712.5)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" 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\" transform=\"translate(333.24835116111512, 732.71185322069698)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" 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\" transform=\"translate(323.49637876772397, 752.92370644139396)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" 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\" transform=\"translate(333.04718005776164, 773.13555966209083)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" 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\" transform=\"translate(332.87556006330163, 793.34741288278781)\"><circle r=\"0.0\"></circle></g></g></g><g class=\"toyplot-mark-Graph\" id=\"td51364cba4534580a2ad14c727bed77e\"><g class=\"toyplot-Edges\"><path d=\"M 225.0 665.444279221 L 293.859584079 631.652587117\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(16.1%,15.3%,14.1%);stroke-linecap:round;stroke-opacity:1.0;stroke-width:2\"></path><path d=\"M 300.725625873 667.023330253 L 332.11616044 651.864440338\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(16.1%,15.3%,14.1%);stroke-linecap:round;stroke-opacity:1.0;stroke-width:2\"></path><path d=\"M 307.629327366 682.182220169 L 328.792791811 672.076293559\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(16.1%,15.3%,14.1%);stroke-linecap:round;stroke-opacity:1.0;stroke-width:2\"></path><path d=\"M 307.629327366 682.182220169 L 333.187443584 692.288146779\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(16.1%,15.3%,14.1%);stroke-linecap:round;stroke-opacity:1.0;stroke-width:2\"></path><path d=\"M 300.725625873 667.023330253 L 307.629327366 682.182220169\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(16.1%,15.3%,14.1%);stroke-linecap:round;stroke-opacity:1.0;stroke-width:2\"></path><path d=\"M 293.859584079 699.235971324 L 300.725625873 667.023330253\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(16.1%,15.3%,14.1%);stroke-linecap:round;stroke-opacity:1.0;stroke-width:2\"></path><path d=\"M 311.230286568 731.448612394 L 328.355912688 712.5\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(16.1%,15.3%,14.1%);stroke-linecap:round;stroke-opacity:1.0;stroke-width:2\"></path><path d=\"M 314.039598088 750.397224789 L 333.248351161 732.711853221\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(16.1%,15.3%,14.1%);stroke-linecap:round;stroke-opacity:1.0;stroke-width:2\"></path><path d=\"M 314.92420623 768.082596357 L 323.496378768 752.923706441\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(16.1%,15.3%,14.1%);stroke-linecap:round;stroke-opacity:1.0;stroke-width:2\"></path><path d=\"M 315.835987907 783.241486272 L 333.047180058 773.135559662\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(16.1%,15.3%,14.1%);stroke-linecap:round;stroke-opacity:1.0;stroke-width:2\"></path><path d=\"M 315.835987907 783.241486272 L 332.875560063 793.347412883\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(16.1%,15.3%,14.1%);stroke-linecap:round;stroke-opacity:1.0;stroke-width:2\"></path><path d=\"M 314.92420623 768.082596357 L 315.835987907 783.241486272\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(16.1%,15.3%,14.1%);stroke-linecap:round;stroke-opacity:1.0;stroke-width:2\"></path><path d=\"M 314.039598088 750.397224789 L 314.92420623 768.082596357\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(16.1%,15.3%,14.1%);stroke-linecap:round;stroke-opacity:1.0;stroke-width:2\"></path><path d=\"M 311.230286568 731.448612394 L 314.039598088 750.397224789\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(16.1%,15.3%,14.1%);stroke-linecap:round;stroke-opacity:1.0;stroke-width:2\"></path><path d=\"M 293.859584079 699.235971324 L 311.230286568 731.448612394\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(16.1%,15.3%,14.1%);stroke-linecap:round;stroke-opacity:1.0;stroke-width:2\"></path><path d=\"M 225.0 665.444279221 L 293.859584079 699.235971324\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(16.1%,15.3%,14.1%);stroke-linecap:round;stroke-opacity:1.0;stroke-width:2\"></path><g class=\"toyplot-HeadMarkers\"></g><g class=\"toyplot-MiddleMarkers\"></g><g class=\"toyplot-TailMarkers\"></g></g><g class=\"toyplot-Vertices\"><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(225.0, 665.44427922056502)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(293.85958407852229, 699.23597132391762)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(300.72562587290525, 667.02333025343194)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(307.62932736625351, 682.18222016895459)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(311.23028656766451, 731.44861239440343)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(314.03959808772959, 750.39722478880674)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(314.92420622976039, 768.08259635691661)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(315.83598790722829, 783.24148627243926)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(293.85958407852229, 631.65258711721231)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(332.11616043984463, 651.86444033790917)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(328.79279181101839, 672.07629355860615)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(333.18744358437874, 692.28814677930313)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(328.35591268839346, 712.5)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(333.24835116111512, 732.71185322069698)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(323.49637876772397, 752.92370644139396)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(333.04718005776164, 773.13555966209083)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(332.87556006330163, 793.34741288278781)\"><circle r=\"0.0\"></circle></g></g></g><g class=\"toyplot-mark-Plot\" id=\"tfcbb337bffe748f58b9396dc08f251b3\" style=\"fill:none;stroke-linecap:round;stroke-opacity:0.95;stroke-width:0.418195\"><g class=\"toyplot-Series\"><path d=\"M 331.71556407041334 773.91744701327525 L 330.26158110075431 691.13123242461711\" style=\"stroke:rgb(40%,76.1%,64.7%);stroke-linecap:round;stroke-opacity:0.95;stroke-width:0.418195\"></path></g></g><g class=\"toyplot-mark-Scatterplot\" id=\"t5d963d1f39354de287d74074cfc19d51\"><g class=\"toyplot-Series\"><g class=\"toyplot-Datum\" 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\" transform=\"translate(330.26158110075431, 691.13123242461711)\"><title>weight: 0.0418195</title><circle r=\"4.0\"></circle></g></g></g><g class=\"toyplot-mark-Plot\" id=\"te8d9c6e4845b4319ab195ac0026ff6db\" style=\"fill:none;stroke-linecap:round;stroke-opacity:0.95;stroke-width:0.0647291\"><g class=\"toyplot-Series\"><path d=\"M 287.49321632783614 634.77677588086476 L 315.83348900264855 783.19994055994005\" style=\"stroke:rgb(98.8%,55.3%,38.4%);stroke-linecap:round;stroke-opacity:0.95;stroke-width:0.0647291\"></path></g></g><g class=\"toyplot-mark-Scatterplot\" id=\"t5b1717e021854e89a72878239a117353\"><g class=\"toyplot-Series\"><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(315.83348900264855, 783.19994055994005)\"><title>weight: 0.00647291</title><circle r=\"4.0\"></circle></g></g></g></g><g class=\"toyplot-coordinates-Axis\" id=\"tc020906005d745c3aa4c6279b2054e0e\" transform=\"translate(225.0,800.0)translate(0,25.0)\"><line style=\"\" x1=\"0\" x2=\"108.24835116111511\" y1=\"0\" y2=\"0\"></line><g><line style=\"\" x1=\"19.532923681168604\" x2=\"19.532923681168604\" y1=\"0\" y2=\"-5\"></line><line style=\"\" x1=\"63.89063742114186\" x2=\"63.89063742114186\" y1=\"0\" y2=\"-5\"></line><line style=\"\" x1=\"108.24835116111511\" x2=\"108.24835116111511\" y1=\"0\" y2=\"-5\"></line></g><g><g transform=\"translate(19.532923681168604,6)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:10.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-8.615\" y=\"8.555\">-0.2</text></g><g transform=\"translate(63.89063742114186,6)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:10.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-8.615\" y=\"8.555\">-0.1</text></g><g transform=\"translate(108.24835116111511,6)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:10.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-6.95\" y=\"8.555\">0.0</text></g></g><g transform=\"translate(62.5,22)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:bold;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-43.008\" y=\"10.266\">Drift parameter</text></g><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><g class=\"toyplot-coordinates-Cartesian\" id=\"tb15ae05df9af4567908367a48afc2ea1\"><clipPath id=\"t25c7c41c4d9e45f28fd00889d2743ddc\"><rect height=\"225.0\" width=\"175.0\" x=\"400.0\" y=\"600.0\"></rect></clipPath><g clip-path=\"url(#t25c7c41c4d9e45f28fd00889d2743ddc)\"><g class=\"toyplot-mark-Text\" id=\"t0fc59f41f63c4c318ca949b0128ec18e\"><g class=\"toyplot-Series\"><g class=\"toyplot-Datum\" transform=\"translate(533.24835116111512,631.65258711721231)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">prz</text></g><g class=\"toyplot-Datum\" transform=\"translate(533.24835116111512,651.86444033790917)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">cys</text></g><g class=\"toyplot-Datum\" transform=\"translate(533.24835116111512,672.07629355860615)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">sup</text></g><g class=\"toyplot-Datum\" transform=\"translate(533.24835116111512,692.28814677930313)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">cya</text></g><g class=\"toyplot-Datum\" transform=\"translate(533.24835116111512,712.5)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">cup</text></g><g class=\"toyplot-Datum\" transform=\"translate(533.24835116111512,732.71185322069698)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">rex</text></g><g class=\"toyplot-Datum\" transform=\"translate(533.24835116111512,752.92370644139396)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">tha</text></g><g class=\"toyplot-Datum\" transform=\"translate(533.24835116111512,773.13555966209083)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">rck</text></g><g class=\"toyplot-Datum\" transform=\"translate(533.24835116111512,793.34741288278781)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">lip</text></g></g></g><g class=\"toyplot-mark-Graph\" id=\"t995653a8da3249efafafdeca8e864fa1\"><g class=\"toyplot-Edges\"><path d=\"M 533.248351161 631.652587117 L 533.248351161 631.652587117\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(66.3%,66.3%,66.3%);stroke-dasharray:2, 4;stroke-linecap:round;stroke-opacity:1.0;stroke-width:1\"></path><path d=\"M 533.248351161 651.864440338 L 456.384363089 651.864440338\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(66.3%,66.3%,66.3%);stroke-dasharray:2, 4;stroke-linecap:round;stroke-opacity:1.0;stroke-width:1\"></path><path d=\"M 533.248351161 672.076293559 L 454.083267325 672.076293559\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(66.3%,66.3%,66.3%);stroke-dasharray:2, 4;stroke-linecap:round;stroke-opacity:1.0;stroke-width:1\"></path><path d=\"M 533.248351161 692.288146779 L 453.218948294 692.288146779\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(66.3%,66.3%,66.3%);stroke-dasharray:2, 4;stroke-linecap:round;stroke-opacity:1.0;stroke-width:1\"></path><path d=\"M 533.248351161 712.5 L 456.518054635 712.5\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(66.3%,66.3%,66.3%);stroke-dasharray:2, 4;stroke-linecap:round;stroke-opacity:1.0;stroke-width:1\"></path><path d=\"M 533.248351161 732.711853221 L 447.663093948 732.711853221\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(66.3%,66.3%,66.3%);stroke-dasharray:2, 4;stroke-linecap:round;stroke-opacity:1.0;stroke-width:1\"></path><path d=\"M 533.248351161 752.923706441 L 479.064263064 752.923706441\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(66.3%,66.3%,66.3%);stroke-dasharray:2, 4;stroke-linecap:round;stroke-opacity:1.0;stroke-width:1\"></path><path d=\"M 533.248351161 773.135559662 L 460.364269715 773.135559662\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(66.3%,66.3%,66.3%);stroke-dasharray:2, 4;stroke-linecap:round;stroke-opacity:1.0;stroke-width:1\"></path><path d=\"M 533.248351161 793.347412883 L 455.61751136 793.347412883\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(66.3%,66.3%,66.3%);stroke-dasharray:2, 4;stroke-linecap:round;stroke-opacity:1.0;stroke-width:1\"></path><g class=\"toyplot-HeadMarkers\"></g><g class=\"toyplot-MiddleMarkers\"></g><g class=\"toyplot-TailMarkers\"></g></g><g class=\"toyplot-Vertices\"><g class=\"toyplot-Datum\" 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\" transform=\"translate(533.24835116111512, 631.65258711721231)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" 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\" transform=\"translate(533.24835116111512, 651.86444033790917)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" 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\" transform=\"translate(533.24835116111512, 672.07629355860615)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" 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\" transform=\"translate(533.24835116111512, 692.28814677930313)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" 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\" transform=\"translate(533.24835116111512, 712.5)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" 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\" transform=\"translate(533.24835116111512, 732.71185322069698)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" 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\" transform=\"translate(533.24835116111512, 752.92370644139396)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" 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\" transform=\"translate(533.24835116111512, 773.13555966209083)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" 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\" transform=\"translate(533.24835116111512, 793.34741288278781)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" 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\" transform=\"translate(533.24835116111512, 631.65258711721231)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" 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\" transform=\"translate(456.38436308946541, 651.86444033790917)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" 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\" transform=\"translate(454.08326732450882, 672.07629355860615)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" 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\" transform=\"translate(453.21894829422502, 692.28814677930313)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" 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\" transform=\"translate(456.51805463503246, 712.5)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" 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\" transform=\"translate(447.66309394836964, 732.71185322069698)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" 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\" transform=\"translate(479.06426306407985, 752.92370644139396)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" 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\" transform=\"translate(460.36426971462822, 773.13555966209083)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" 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\" transform=\"translate(455.61751135973918, 793.34741288278781)\"><circle r=\"0.0\"></circle></g></g></g><g class=\"toyplot-mark-Graph\" id=\"tf91b8d7ba2c24c948876c4e1e4030531\"><g class=\"toyplot-Edges\"><path d=\"M 425.0 665.444279221 L 533.248351161 631.652587117\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(16.1%,15.3%,14.1%);stroke-linecap:round;stroke-opacity:1.0;stroke-width:2\"></path><path d=\"M 431.612602058 667.023330253 L 456.384363089 651.864440338\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(16.1%,15.3%,14.1%);stroke-linecap:round;stroke-opacity:1.0;stroke-width:2\"></path><path d=\"M 436.632411402 682.182220169 L 454.083267325 672.076293559\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(16.1%,15.3%,14.1%);stroke-linecap:round;stroke-opacity:1.0;stroke-width:2\"></path><path d=\"M 436.632411402 682.182220169 L 453.218948294 692.288146779\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(16.1%,15.3%,14.1%);stroke-linecap:round;stroke-opacity:1.0;stroke-width:2\"></path><path d=\"M 431.612602058 667.023330253 L 436.632411402 682.182220169\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(16.1%,15.3%,14.1%);stroke-linecap:round;stroke-opacity:1.0;stroke-width:2\"></path><path d=\"M 427.112043025 699.235971324 L 431.612602058 667.023330253\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(16.1%,15.3%,14.1%);stroke-linecap:round;stroke-opacity:1.0;stroke-width:2\"></path><path d=\"M 440.052421093 731.448612394 L 456.518054635 712.5\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(16.1%,15.3%,14.1%);stroke-linecap:round;stroke-opacity:1.0;stroke-width:2\"></path><path d=\"M 443.287512068 750.397224789 L 447.663093948 732.711853221\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(16.1%,15.3%,14.1%);stroke-linecap:round;stroke-opacity:1.0;stroke-width:2\"></path><path d=\"M 443.46525806 768.082596357 L 479.064263064 752.923706441\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(16.1%,15.3%,14.1%);stroke-linecap:round;stroke-opacity:1.0;stroke-width:2\"></path><path d=\"M 443.863424356 783.241486272 L 460.364269715 773.135559662\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(16.1%,15.3%,14.1%);stroke-linecap:round;stroke-opacity:1.0;stroke-width:2\"></path><path d=\"M 443.863424356 783.241486272 L 455.61751136 793.347412883\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(16.1%,15.3%,14.1%);stroke-linecap:round;stroke-opacity:1.0;stroke-width:2\"></path><path d=\"M 443.46525806 768.082596357 L 443.863424356 783.241486272\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(16.1%,15.3%,14.1%);stroke-linecap:round;stroke-opacity:1.0;stroke-width:2\"></path><path d=\"M 443.287512068 750.397224789 L 443.46525806 768.082596357\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(16.1%,15.3%,14.1%);stroke-linecap:round;stroke-opacity:1.0;stroke-width:2\"></path><path d=\"M 440.052421093 731.448612394 L 443.287512068 750.397224789\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(16.1%,15.3%,14.1%);stroke-linecap:round;stroke-opacity:1.0;stroke-width:2\"></path><path d=\"M 427.112043025 699.235971324 L 440.052421093 731.448612394\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(16.1%,15.3%,14.1%);stroke-linecap:round;stroke-opacity:1.0;stroke-width:2\"></path><path d=\"M 425.0 665.444279221 L 427.112043025 699.235971324\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(16.1%,15.3%,14.1%);stroke-linecap:round;stroke-opacity:1.0;stroke-width:2\"></path><g class=\"toyplot-HeadMarkers\"></g><g class=\"toyplot-MiddleMarkers\"></g><g class=\"toyplot-TailMarkers\"></g></g><g class=\"toyplot-Vertices\"><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(425.0, 665.44427922056502)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(427.11204302505666, 699.23597132391762)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(431.61260205782304, 667.02333025343194)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(436.63241140190956, 682.18222016895459)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(440.05242109327884, 731.44861239440343)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(443.28751206789815, 750.39722478880674)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(443.46525805964905, 768.08259635691661)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(443.86342435615666, 783.24148627243926)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(533.24835116111512, 631.65258711721231)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(456.38436308946541, 651.86444033790917)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(454.08326732450882, 672.07629355860615)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(453.21894829422502, 692.28814677930313)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(456.51805463503246, 712.5)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(447.66309394836964, 732.71185322069698)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(479.06426306407985, 752.92370644139396)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(460.36426971462822, 773.13555966209083)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(455.61751135973918, 793.34741288278781)\"><circle r=\"0.0\"></circle></g></g></g><g class=\"toyplot-mark-Plot\" id=\"t2be20b4c426142c5907c8be7bf714f58\" style=\"fill:none;stroke-linecap:round;stroke-opacity:0.95;stroke-width:0.663672\"><g class=\"toyplot-Series\"><path d=\"M 513.78573870047694 637.72819566683245 L 458.83366216083857 774.07297876225232\" style=\"stroke:rgb(40%,76.1%,64.7%);stroke-linecap:round;stroke-opacity:0.95;stroke-width:0.663672\"></path></g></g><g class=\"toyplot-mark-Scatterplot\" id=\"t137816b5efa246148ce698feb8f21396\"><g class=\"toyplot-Series\"><g class=\"toyplot-Datum\" 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\" transform=\"translate(458.83366216083857, 774.07297876225232)\"><title>weight: 0.0663672</title><circle r=\"4.0\"></circle></g></g></g><g class=\"toyplot-mark-Plot\" id=\"ted06d774c53d49b59d1968c69e96e198\" style=\"fill:none;stroke-linecap:round;stroke-opacity:0.95;stroke-width:3.213\"><g class=\"toyplot-Series\"><path d=\"M 455.70269268870982 713.43831661216291 L 474.33657909279611 754.93686497959322\" style=\"stroke:rgb(98.8%,55.3%,38.4%);stroke-linecap:round;stroke-opacity:0.95;stroke-width:3.213\"></path></g></g><g class=\"toyplot-mark-Scatterplot\" id=\"t95bf493f31934706a7787aa54bbd6da4\"><g class=\"toyplot-Series\"><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(474.33657909279611, 754.93686497959322)\"><title>weight: 0.3213</title><circle r=\"4.0\"></circle></g></g></g></g><g class=\"toyplot-coordinates-Axis\" id=\"tc6f1b989442349c288a2cc4064ec2d20\" transform=\"translate(425.0,800.0)translate(0,25.0)\"><line style=\"\" x1=\"0\" x2=\"108.24835116111507\" y1=\"0\" y2=\"0\"></line><g><line style=\"\" x1=\"1.975262475045077\" x2=\"1.975262475045077\" y1=\"0\" y2=\"-5\"></line><line style=\"\" x1=\"37.39962537040174\" x2=\"37.39962537040174\" y1=\"0\" y2=\"-5\"></line><line style=\"\" x1=\"72.8239882657584\" x2=\"72.8239882657584\" y1=\"0\" y2=\"-5\"></line><line style=\"\" x1=\"108.24835116111507\" x2=\"108.24835116111507\" y1=\"0\" y2=\"-5\"></line></g><g><g transform=\"translate(1.975262475045077,6)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:10.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-8.615\" y=\"8.555\">-0.3</text></g><g transform=\"translate(37.39962537040174,6)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:10.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-8.615\" y=\"8.555\">-0.2</text></g><g transform=\"translate(72.8239882657584,6)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:10.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-8.615\" y=\"8.555\">-0.1</text></g><g transform=\"translate(108.24835116111507,6)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:10.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-6.95\" y=\"8.555\">0.0</text></g></g><g transform=\"translate(62.5,22)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:bold;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-43.008\" y=\"10.266\">Drift parameter</text></g><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><g class=\"toyplot-coordinates-Cartesian\" id=\"t7cc80a97a99844caa0232c83cb1a421a\"><clipPath id=\"ta5e686ea45a54354ade6f98a272f1299\"><rect height=\"225.0\" width=\"175.0\" x=\"600.0\" y=\"600.0\"></rect></clipPath><g clip-path=\"url(#ta5e686ea45a54354ade6f98a272f1299)\"><g class=\"toyplot-mark-Text\" id=\"tbeb52468c99e42f0b86381e8c6284369\"><g class=\"toyplot-Series\"><g class=\"toyplot-Datum\" transform=\"translate(733.24835116111501,631.65258711721231)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">prz</text></g><g class=\"toyplot-Datum\" transform=\"translate(733.24835116111501,651.86444033790917)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">cys</text></g><g class=\"toyplot-Datum\" transform=\"translate(733.24835116111501,672.07629355860615)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">sup</text></g><g class=\"toyplot-Datum\" transform=\"translate(733.24835116111501,692.28814677930313)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">cya</text></g><g class=\"toyplot-Datum\" transform=\"translate(733.24835116111501,712.5)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">cup</text></g><g class=\"toyplot-Datum\" transform=\"translate(733.24835116111501,732.71185322069698)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">tha</text></g><g class=\"toyplot-Datum\" transform=\"translate(733.24835116111501,752.92370644139396)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">lip</text></g><g class=\"toyplot-Datum\" transform=\"translate(733.24835116111501,773.13555966209083)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">rex</text></g><g class=\"toyplot-Datum\" transform=\"translate(733.24835116111501,793.34741288278781)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">rck</text></g></g></g><g class=\"toyplot-mark-Graph\" id=\"tf49a019c1f874dcb96977c0617f73759\"><g class=\"toyplot-Edges\"><path d=\"M 733.248351161 631.652587117 L 684.427049785 631.652587117\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(66.3%,66.3%,66.3%);stroke-dasharray:2, 4;stroke-linecap:round;stroke-opacity:1.0;stroke-width:1\"></path><path d=\"M 733.248351161 651.864440338 L 713.869480727 651.864440338\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(66.3%,66.3%,66.3%);stroke-dasharray:2, 4;stroke-linecap:round;stroke-opacity:1.0;stroke-width:1\"></path><path d=\"M 733.248351161 672.076293559 L 715.265897147 672.076293559\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(66.3%,66.3%,66.3%);stroke-dasharray:2, 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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\" transform=\"translate(733.24835116111501, 732.71185322069698)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" 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\" transform=\"translate(733.24835116111501, 752.92370644139396)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" 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\" transform=\"translate(733.24835116111501, 773.13555966209083)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" 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\" transform=\"translate(733.24835116111501, 793.34741288278781)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" 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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\" transform=\"translate(713.20264008129993, 712.5)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" 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\" transform=\"translate(733.24835116111501, 732.71185322069698)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" 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\" transform=\"translate(715.24767019308513, 752.92370644139396)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" 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\" transform=\"translate(708.17433958310221, 773.13555966209083)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" 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\" transform=\"translate(718.19717379662052, 793.34741288278781)\"><circle r=\"0.0\"></circle></g></g></g><g class=\"toyplot-mark-Graph\" id=\"t5822449507e64fd38d05e71c69738afd\"><g class=\"toyplot-Edges\"><path d=\"M 625.0 667.023330253 L 684.427049785 631.652587117\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(16.1%,15.3%,14.1%);stroke-linecap:round;stroke-opacity:1.0;stroke-width:2\"></path><path d=\"M 689.296326508 667.023330253 L 713.869480727 651.864440338\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(16.1%,15.3%,14.1%);stroke-linecap:round;stroke-opacity:1.0;stroke-width:2\"></path><path d=\"M 695.204980352 682.182220169 L 715.265897147 672.076293559\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(16.1%,15.3%,14.1%);stroke-linecap:round;stroke-opacity:1.0;stroke-width:2\"></path><path d=\"M 695.204980352 682.182220169 L 712.685546232 692.288146779\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(16.1%,15.3%,14.1%);stroke-linecap:round;stroke-opacity:1.0;stroke-width:2\"></path><path d=\"M 689.296326508 667.023330253 L 695.204980352 682.182220169\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(16.1%,15.3%,14.1%);stroke-linecap:round;stroke-opacity:1.0;stroke-width:2\"></path><path d=\"M 684.427049785 702.39407339 L 689.296326508 667.023330253\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(16.1%,15.3%,14.1%);stroke-linecap:round;stroke-opacity:1.0;stroke-width:2\"></path><path d=\"M 697.188227914 737.764816526 L 713.202640081 712.5\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(16.1%,15.3%,14.1%);stroke-linecap:round;stroke-opacity:1.0;stroke-width:2\"></path><path d=\"M 702.128564166 742.817779831 L 733.248351161 732.711853221\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(16.1%,15.3%,14.1%);stroke-linecap:round;stroke-opacity:1.0;stroke-width:2\"></path><path d=\"M 702.128564166 742.817779831 L 715.247670193 752.923706441\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(16.1%,15.3%,14.1%);stroke-linecap:round;stroke-opacity:1.0;stroke-width:2\"></path><path d=\"M 700.794235973 763.029633052 L 702.128564166 742.817779831\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(16.1%,15.3%,14.1%);stroke-linecap:round;stroke-opacity:1.0;stroke-width:2\"></path><path d=\"M 701.375202359 783.241486272 L 708.174339583 773.135559662\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(16.1%,15.3%,14.1%);stroke-linecap:round;stroke-opacity:1.0;stroke-width:2\"></path><path d=\"M 701.375202359 783.241486272 L 718.197173797 793.347412883\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(16.1%,15.3%,14.1%);stroke-linecap:round;stroke-opacity:1.0;stroke-width:2\"></path><path d=\"M 700.794235973 763.029633052 L 701.375202359 783.241486272\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(16.1%,15.3%,14.1%);stroke-linecap:round;stroke-opacity:1.0;stroke-width:2\"></path><path d=\"M 697.188227914 737.764816526 L 700.794235973 763.029633052\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(16.1%,15.3%,14.1%);stroke-linecap:round;stroke-opacity:1.0;stroke-width:2\"></path><path d=\"M 684.427049785 702.39407339 L 697.188227914 737.764816526\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(16.1%,15.3%,14.1%);stroke-linecap:round;stroke-opacity:1.0;stroke-width:2\"></path><path d=\"M 625.0 667.023330253 L 684.427049785 702.39407339\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(16.1%,15.3%,14.1%);stroke-linecap:round;stroke-opacity:1.0;stroke-width:2\"></path><g class=\"toyplot-HeadMarkers\"></g><g class=\"toyplot-MiddleMarkers\"></g><g class=\"toyplot-TailMarkers\"></g></g><g class=\"toyplot-Vertices\"><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(625.0, 667.02333025343194)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(684.42704978512165, 702.39407338965157)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(689.29632650795884, 667.02333025343194)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(695.20498035173796, 682.18222016895459)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(697.1882279140525, 737.76481652587108)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(700.79423597348091, 763.02963305174228)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(702.12856416565614, 742.81777983104541)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(701.37520235887848, 783.24148627243926)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(684.42704978512165, 631.65258711721231)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(713.86948072715154, 651.86444033790917)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(715.26589714704232, 672.07629355860615)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(712.68554623151317, 692.28814677930313)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(713.20264008129993, 712.5)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(733.24835116111501, 732.71185322069698)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(715.24767019308513, 752.92370644139396)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(708.17433958310221, 773.13555966209083)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(718.19717379662052, 793.34741288278781)\"><circle r=\"0.0\"></circle></g></g></g><g class=\"toyplot-mark-Plot\" id=\"tc1c01d1d3e114da091359af910fd00f6\" style=\"fill:none;stroke-linecap:round;stroke-opacity:0.95;stroke-width:2.32693\"><g class=\"toyplot-Series\"><path d=\"M 712.62578864256045 713.41005811579203 L 727.88076522413985 734.45493808055551\" style=\"stroke:rgb(40%,76.1%,64.7%);stroke-linecap:round;stroke-opacity:0.95;stroke-width:2.32693\"></path></g></g><g class=\"toyplot-mark-Scatterplot\" id=\"t1c640e18ee2a4ec897622ad6868abe34\"><g class=\"toyplot-Series\"><g class=\"toyplot-Datum\" 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\" transform=\"translate(727.88076522413985, 734.45493808055551)\"><title>weight: 0.232693</title><circle r=\"4.0\"></circle></g></g></g><g class=\"toyplot-mark-Plot\" id=\"tdc7009ac7f3f439daae6fc1c059abe8a\" style=\"fill:none;stroke-linecap:round;stroke-opacity:0.95;stroke-width:0.401708\"><g class=\"toyplot-Series\"><path d=\"M 716.61198556015722 792.39509905675516 L 678.77519292351008 635.01654979107184\" style=\"stroke:rgb(98.8%,55.3%,38.4%);stroke-linecap:round;stroke-opacity:0.95;stroke-width:0.401708\"></path></g></g><g class=\"toyplot-mark-Scatterplot\" id=\"t7626f2cbb0084132b56a73c14134017e\"><g class=\"toyplot-Series\"><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(678.77519292351008, 635.01654979107184)\"><title>weight: 0.0401708</title><circle r=\"4.0\"></circle></g></g></g></g><g class=\"toyplot-coordinates-Axis\" id=\"t2afee18b91994e1fb5808d6359605f5b\" transform=\"translate(625.0,800.0)translate(0,25.0)\"><line style=\"\" x1=\"0\" x2=\"108.24835116111507\" y1=\"0\" y2=\"0\"></line><g><line style=\"\" x1=\"1.616405233136635\" x2=\"1.616405233136635\" y1=\"0\" y2=\"-5\"></line><line style=\"\" x1=\"37.160387209129446\" x2=\"37.160387209129446\" y1=\"0\" y2=\"-5\"></line><line style=\"\" x1=\"72.70436918512226\" x2=\"72.70436918512226\" y1=\"0\" y2=\"-5\"></line><line style=\"\" x1=\"108.24835116111507\" x2=\"108.24835116111507\" y1=\"0\" y2=\"-5\"></line></g><g><g transform=\"translate(1.616405233136635,6)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:10.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-8.615\" y=\"8.555\">-0.3</text></g><g transform=\"translate(37.160387209129446,6)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:10.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-8.615\" y=\"8.555\">-0.2</text></g><g transform=\"translate(72.70436918512226,6)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:10.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-8.615\" y=\"8.555\">-0.1</text></g><g transform=\"translate(108.24835116111507,6)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:10.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-6.95\" y=\"8.555\">0.0</text></g></g><g transform=\"translate(62.5,22)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:bold;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-43.008\" y=\"10.266\">Drift parameter</text></g><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><g class=\"toyplot-coordinates-Cartesian\" id=\"t1a09daadc5ea4865ae6e40fa2b14bcd9\"><clipPath id=\"t5b292ac788354a6698241132ceafc068\"><rect height=\"225.0\" width=\"175.0\" x=\"0.0\" y=\"900.0\"></rect></clipPath><g clip-path=\"url(#t5b292ac788354a6698241132ceafc068)\"><g class=\"toyplot-mark-Text\" id=\"tb965319b2b424aa58210819993ab61e0\"><g class=\"toyplot-Series\"><g class=\"toyplot-Datum\" transform=\"translate(133.2483511611151,931.65258711721219)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">prz</text></g><g class=\"toyplot-Datum\" transform=\"translate(133.2483511611151,951.86444033790917)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">cys</text></g><g class=\"toyplot-Datum\" transform=\"translate(133.2483511611151,972.07629355860615)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">sup</text></g><g class=\"toyplot-Datum\" transform=\"translate(133.2483511611151,992.28814677930302)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">cya</text></g><g class=\"toyplot-Datum\" transform=\"translate(133.2483511611151,1012.5)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">cup</text></g><g class=\"toyplot-Datum\" transform=\"translate(133.2483511611151,1032.7118532206969)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">tha</text></g><g class=\"toyplot-Datum\" transform=\"translate(133.2483511611151,1052.923706441394)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">lip</text></g><g class=\"toyplot-Datum\" transform=\"translate(133.2483511611151,1073.1355596620908)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">rck</text></g><g class=\"toyplot-Datum\" transform=\"translate(133.2483511611151,1093.3474128827877)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">rex</text></g></g></g><g class=\"toyplot-mark-Graph\" id=\"taf541662d7d44d1b82551a86e0e679dd\"><g class=\"toyplot-Edges\"><path d=\"M 133.248351161 931.652587117 L 133.248351161 931.652587117\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(66.3%,66.3%,66.3%);stroke-dasharray:2, 4;stroke-linecap:round;stroke-opacity:1.0;stroke-width:1\"></path><path d=\"M 133.248351161 951.864440338 L 60.1479976926 951.864440338\" 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style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(44.859485753580586, 1068.0825963569166)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(45.619389523115132, 1083.2414862724393)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(133.2483511611151, 931.65258711721219)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(60.147997692588518, 951.86444033790917)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(60.682653113498823, 972.07629355860615)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(57.695951128881987, 992.28814677930302)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(55.135100895581999, 1012.5)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(60.482627270674485, 1032.7118532206969)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(60.615139593493893, 1052.923706441394)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(64.995733891240803, 1073.1355596620908)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(51.656863177114339, 1093.3474128827877)\"><circle r=\"0.0\"></circle></g></g></g><g class=\"toyplot-mark-Plot\" id=\"t06eacb0f06cd453daa71a136076afa93\" style=\"fill:none;stroke-linecap:round;stroke-opacity:0.95;stroke-width:1.25805\"><g class=\"toyplot-Series\"><path d=\"M 114.02156439449389 937.6545783862291 L 62.914680749537062 1074.2209537861181\" style=\"stroke:rgb(40%,76.1%,64.7%);stroke-linecap:round;stroke-opacity:0.95;stroke-width:1.25805\"></path></g></g><g class=\"toyplot-mark-Scatterplot\" id=\"t1887c8033a16483d81f03bc14cfae759\"><g class=\"toyplot-Series\"><g class=\"toyplot-Datum\" 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\" transform=\"translate(62.914680749537062, 1074.2209537861181)\"><title>weight: 0.125805</title><circle r=\"4.0\"></circle></g></g></g><g class=\"toyplot-mark-Plot\" id=\"tc0cfa768ec2445ea92c130978f004697\" style=\"fill:none;stroke-linecap:round;stroke-opacity:0.95;stroke-width:1.01155\"><g class=\"toyplot-Series\"><path d=\"M 51.453756840641532 1093.0074399324908 L 36.026675848622361 967.58912027774841\" style=\"stroke:rgb(98.8%,55.3%,38.4%);stroke-linecap:round;stroke-opacity:0.95;stroke-width:1.01155\"></path></g></g><g class=\"toyplot-mark-Scatterplot\" id=\"tef97e809d39e43d28170b50b62c1dba6\"><g class=\"toyplot-Series\"><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(36.026675848622361, 967.58912027774841)\"><title>weight: 0.101155</title><circle r=\"4.0\"></circle></g></g></g><g class=\"toyplot-mark-Plot\" id=\"t56b2900e52494516ba12a610da89c896\" style=\"fill:none;stroke-linecap:round;stroke-opacity:0.95;stroke-width:0.318235\"><g class=\"toyplot-Series\"><path d=\"M 114.02156439449389 937.6545783862291 L 59.694060188887846 1053.8098988799779\" style=\"stroke:rgb(55.3%,62.7%,79.6%);stroke-linecap:round;stroke-opacity:0.95;stroke-width:0.318235\"></path></g></g><g class=\"toyplot-mark-Scatterplot\" id=\"t3e71f011faf94bdf9702e71224c09a8c\"><g class=\"toyplot-Series\"><g class=\"toyplot-Datum\" style=\"fill:rgb(55.3%,62.7%,79.6%);fill-opacity:1.0;opacity:1.0;stroke:rgb(55.3%,62.7%,79.6%);stroke-opacity:1.0\" transform=\"translate(59.694060188887846, 1053.8098988799779)\"><title>weight: 0.0318235</title><circle r=\"4.0\"></circle></g></g></g></g><g class=\"toyplot-coordinates-Axis\" id=\"t12fb373a87b54c25b5f3abf277bb89f8\" transform=\"translate(25.0,1100.0)translate(0,25.0)\"><line style=\"\" x1=\"0\" x2=\"108.24835116111511\" y1=\"0\" y2=\"0\"></line><g><line style=\"\" x1=\"0.6284999311827959\" x2=\"0.6284999311827959\" y1=\"0\" y2=\"-5\"></line><line style=\"\" x1=\"36.501783674493566\" x2=\"36.501783674493566\" y1=\"0\" y2=\"-5\"></line><line style=\"\" x1=\"72.37506741780433\" x2=\"72.37506741780433\" y1=\"0\" y2=\"-5\"></line><line style=\"\" x1=\"108.24835116111511\" x2=\"108.24835116111511\" y1=\"0\" y2=\"-5\"></line></g><g><g transform=\"translate(0.6284999311827959,6)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:10.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-8.615\" y=\"8.555\">-0.3</text></g><g transform=\"translate(36.501783674493566,6)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:10.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-8.615\" y=\"8.555\">-0.2</text></g><g transform=\"translate(72.37506741780433,6)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:10.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-8.615\" y=\"8.555\">-0.1</text></g><g transform=\"translate(108.24835116111511,6)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:10.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-6.95\" y=\"8.555\">0.0</text></g></g><g transform=\"translate(62.5,22)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:bold;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-43.008\" y=\"10.266\">Drift parameter</text></g><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><g class=\"toyplot-coordinates-Cartesian\" id=\"te321208093334c82a25f3fe6f027b164\"><clipPath id=\"td9c028b7659747558fc9268a165c38a8\"><rect height=\"225.0\" width=\"175.0\" x=\"200.0\" y=\"900.0\"></rect></clipPath><g clip-path=\"url(#td9c028b7659747558fc9268a165c38a8)\"><g class=\"toyplot-mark-Text\" id=\"tb525e4911ff1411cb2c0ad90bf04e64a\"><g class=\"toyplot-Series\"><g class=\"toyplot-Datum\" transform=\"translate(333.40908200021391,931.65258711721219)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">prz</text></g><g class=\"toyplot-Datum\" transform=\"translate(333.40908200021391,951.86444033790917)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">cys</text></g><g class=\"toyplot-Datum\" transform=\"translate(333.40908200021391,972.07629355860615)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">cya</text></g><g class=\"toyplot-Datum\" transform=\"translate(333.40908200021391,992.28814677930302)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">sup</text></g><g class=\"toyplot-Datum\" transform=\"translate(333.40908200021391,1012.5)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">tha</text></g><g class=\"toyplot-Datum\" transform=\"translate(333.40908200021391,1032.7118532206969)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">cup</text></g><g class=\"toyplot-Datum\" transform=\"translate(333.40908200021391,1052.923706441394)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">rex</text></g><g class=\"toyplot-Datum\" transform=\"translate(333.40908200021391,1073.1355596620908)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">rck</text></g><g class=\"toyplot-Datum\" transform=\"translate(333.40908200021391,1093.3474128827877)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">lip</text></g></g></g><g class=\"toyplot-mark-Graph\" id=\"t413ceb073fec429695e2ed5eb3927558\"><g class=\"toyplot-Edges\"><path d=\"M 333.409082 931.652587117 L 333.409082 931.652587117\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(66.3%,66.3%,66.3%);stroke-dasharray:2, 4;stroke-linecap:round;stroke-opacity:1.0;stroke-width:1\"></path><path d=\"M 333.409082 951.864440338 L 263.050323009 951.864440338\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(66.3%,66.3%,66.3%);stroke-dasharray:2, 4;stroke-linecap:round;stroke-opacity:1.0;stroke-width:1\"></path><path d=\"M 333.409082 972.076293559 L 259.525365572 972.076293559\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(66.3%,66.3%,66.3%);stroke-dasharray:2, 4;stroke-linecap:round;stroke-opacity:1.0;stroke-width:1\"></path><path d=\"M 333.409082 992.288146779 L 259.696182149 992.288146779\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(66.3%,66.3%,66.3%);stroke-dasharray:2, 4;stroke-linecap:round;stroke-opacity:1.0;stroke-width:1\"></path><path d=\"M 333.409082 1012.5 L 263.898862576 1012.5\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(66.3%,66.3%,66.3%);stroke-dasharray:2, 4;stroke-linecap:round;stroke-opacity:1.0;stroke-width:1\"></path><path d=\"M 333.409082 1032.71185322 L 270.190130695 1032.71185322\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(66.3%,66.3%,66.3%);stroke-dasharray:2, 4;stroke-linecap:round;stroke-opacity:1.0;stroke-width:1\"></path><path d=\"M 333.409082 1052.92370644 L 254.461208761 1052.92370644\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(66.3%,66.3%,66.3%);stroke-dasharray:2, 4;stroke-linecap:round;stroke-opacity:1.0;stroke-width:1\"></path><path d=\"M 333.409082 1073.13555966 L 262.706312083 1073.13555966\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(66.3%,66.3%,66.3%);stroke-dasharray:2, 4;stroke-linecap:round;stroke-opacity:1.0;stroke-width:1\"></path><path d=\"M 333.409082 1093.34741288 L 288.135974993 1093.34741288\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(66.3%,66.3%,66.3%);stroke-dasharray:2, 4;stroke-linecap:round;stroke-opacity:1.0;stroke-width:1\"></path><g class=\"toyplot-HeadMarkers\"></g><g class=\"toyplot-MiddleMarkers\"></g><g class=\"toyplot-TailMarkers\"></g></g><g class=\"toyplot-Vertices\"><g class=\"toyplot-Datum\" 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\" transform=\"translate(333.40908200021391, 931.65258711721219)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" 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\" transform=\"translate(333.40908200021391, 951.86444033790917)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" 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\" transform=\"translate(333.40908200021391, 972.07629355860615)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" 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\" transform=\"translate(333.40908200021391, 992.28814677930302)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" 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\" transform=\"translate(333.40908200021391, 1012.5)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" 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\" transform=\"translate(333.40908200021391, 1032.7118532206969)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" 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\" transform=\"translate(333.40908200021391, 1052.923706441394)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" 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\" transform=\"translate(333.40908200021391, 1073.1355596620908)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" 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\" transform=\"translate(333.40908200021391, 1093.3474128827877)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" 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\" transform=\"translate(333.40908200021391, 931.65258711721219)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" 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\" transform=\"translate(263.05032300945174, 951.86444033790917)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" 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\" transform=\"translate(259.52536557185414, 972.07629355860615)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" 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\" transform=\"translate(259.69618214872582, 992.28814677930302)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" 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\" transform=\"translate(263.89886257608384, 1012.5)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" 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\" transform=\"translate(270.19013069544161, 1032.7118532206969)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" 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\" transform=\"translate(254.46120876074536, 1052.923706441394)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" 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\" transform=\"translate(262.70631208317656, 1073.1355596620908)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" 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\" transform=\"translate(288.13597499340938, 1093.3474128827877)\"><circle r=\"0.0\"></circle></g></g></g><g class=\"toyplot-mark-Graph\" id=\"t67b0ff24faba46bdb9cf80601c7cf4ff\"><g class=\"toyplot-Edges\"><path d=\"M 226.199365811 968.918191493 L 333.409082 931.652587117\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(16.1%,15.3%,14.1%);stroke-linecap:round;stroke-opacity:1.0;stroke-width:2\"></path><path d=\"M 236.229807714 967.023330253 L 263.050323009 951.864440338\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(16.1%,15.3%,14.1%);stroke-linecap:round;stroke-opacity:1.0;stroke-width:2\"></path><path d=\"M 240.803333929 982.182220169 L 259.525365572 972.076293559\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(16.1%,15.3%,14.1%);stroke-linecap:round;stroke-opacity:1.0;stroke-width:2\"></path><path d=\"M 240.803333929 982.182220169 L 259.696182149 992.288146779\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(16.1%,15.3%,14.1%);stroke-linecap:round;stroke-opacity:1.0;stroke-width:2\"></path><path d=\"M 236.229807714 967.023330253 L 240.803333929 982.182220169\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(16.1%,15.3%,14.1%);stroke-linecap:round;stroke-opacity:1.0;stroke-width:2\"></path><path d=\"M 230.292892747 1006.18379587 L 236.229807714 967.023330253\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(16.1%,15.3%,14.1%);stroke-linecap:round;stroke-opacity:1.0;stroke-width:2\"></path><path d=\"M 247.634175731 1022.60592661 L 263.898862576 1012.5\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(16.1%,15.3%,14.1%);stroke-linecap:round;stroke-opacity:1.0;stroke-width:2\"></path><path d=\"M 247.634175731 1022.60592661 L 270.190130695 1032.71185322\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(16.1%,15.3%,14.1%);stroke-linecap:round;stroke-opacity:1.0;stroke-width:2\"></path><path d=\"M 246.190759395 1045.34426148 L 247.634175731 1022.60592661\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(16.1%,15.3%,14.1%);stroke-linecap:round;stroke-opacity:1.0;stroke-width:2\"></path><path d=\"M 247.248644126 1068.08259636 L 254.461208761 1052.92370644\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(16.1%,15.3%,14.1%);stroke-linecap:round;stroke-opacity:1.0;stroke-width:2\"></path><path d=\"M 249.802162235 1083.24148627 L 262.706312083 1073.13555966\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(16.1%,15.3%,14.1%);stroke-linecap:round;stroke-opacity:1.0;stroke-width:2\"></path><path d=\"M 249.802162235 1083.24148627 L 288.135974993 1093.34741288\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(16.1%,15.3%,14.1%);stroke-linecap:round;stroke-opacity:1.0;stroke-width:2\"></path><path d=\"M 247.248644126 1068.08259636 L 249.802162235 1083.24148627\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(16.1%,15.3%,14.1%);stroke-linecap:round;stroke-opacity:1.0;stroke-width:2\"></path><path d=\"M 246.190759395 1045.34426148 L 247.248644126 1068.08259636\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(16.1%,15.3%,14.1%);stroke-linecap:round;stroke-opacity:1.0;stroke-width:2\"></path><path d=\"M 230.292892747 1006.18379587 L 246.190759395 1045.34426148\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(16.1%,15.3%,14.1%);stroke-linecap:round;stroke-opacity:1.0;stroke-width:2\"></path><path d=\"M 226.199365811 968.918191493 L 230.292892747 1006.18379587\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(16.1%,15.3%,14.1%);stroke-linecap:round;stroke-opacity:1.0;stroke-width:2\"></path><g class=\"toyplot-HeadMarkers\"></g><g class=\"toyplot-MiddleMarkers\"></g><g class=\"toyplot-TailMarkers\"></g></g><g class=\"toyplot-Vertices\"><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(226.19936581052906, 968.91819149287221)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(230.29289274685712, 1006.1837958685321)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(236.22980771351683, 967.02333025343182)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(240.80333392858122, 982.1822201689547)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(246.19075939494249, 1045.3442614836326)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(247.6341757308704, 1022.6059266103484)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(247.24864412618911, 1068.0825963569166)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(249.80216223452709, 1083.2414862724393)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(333.40908200021391, 931.65258711721219)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(263.05032300945174, 951.86444033790917)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(259.52536557185414, 972.07629355860615)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(259.69618214872582, 992.28814677930302)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(263.89886257608384, 1012.5)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(270.19013069544161, 1032.7118532206969)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(254.46120876074536, 1052.923706441394)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(262.70631208317656, 1073.1355596620908)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(288.13597499340938, 1093.3474128827877)\"><circle r=\"0.0\"></circle></g></g></g><g class=\"toyplot-mark-Plot\" id=\"tcb36da4d05db467a9ee3ab14696e0ec5\" style=\"fill:none;stroke-linecap:round;stroke-opacity:0.95;stroke-width:0.739663\"><g class=\"toyplot-Series\"><path d=\"M 316.3768759703338 937.5729036156838 L 249.77810459943606 1083.0986687843697\" style=\"stroke:rgb(40%,76.1%,64.7%);stroke-linecap:round;stroke-opacity:0.95;stroke-width:0.739663\"></path></g></g><g class=\"toyplot-mark-Scatterplot\" id=\"tfcc8f9bd0fac4d9482908fdc58aa3261\"><g class=\"toyplot-Series\"><g class=\"toyplot-Datum\" 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\" transform=\"translate(249.77810459943606, 1083.0986687843697)\"><title>weight: 0.0739663</title><circle r=\"4.0\"></circle></g></g></g><g class=\"toyplot-mark-Plot\" id=\"t2481a911b3ec4052b5f5652e5e22b30f\" style=\"fill:none;stroke-linecap:round;stroke-opacity:0.95;stroke-width:3.6854\"><g class=\"toyplot-Series\"><path d=\"M 267.39597898003058 1031.4599668688011 L 280.18008387724291 1091.2500047213396\" style=\"stroke:rgb(98.8%,55.3%,38.4%);stroke-linecap:round;stroke-opacity:0.95;stroke-width:3.6854\"></path></g></g><g class=\"toyplot-mark-Scatterplot\" id=\"tf7cdc9039eb64067be1142c2dc3144e7\"><g class=\"toyplot-Series\"><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(280.18008387724291, 1091.2500047213396)\"><title>weight: 0.36854</title><circle r=\"4.0\"></circle></g></g></g><g class=\"toyplot-mark-Plot\" id=\"t067b6d2f57b44bf3bf806229613bf17d\" style=\"fill:none;stroke-linecap:round;stroke-opacity:0.95;stroke-width:1.39219\"><g class=\"toyplot-Series\"><path d=\"M 236.17946693577483 967.35538289472345 L 267.39597898003058 1031.4599668688011\" style=\"stroke:rgb(55.3%,62.7%,79.6%);stroke-linecap:round;stroke-opacity:0.95;stroke-width:1.39219\"></path></g></g><g class=\"toyplot-mark-Scatterplot\" id=\"t510e1738e1944c94b000f62ec4d900c7\"><g class=\"toyplot-Series\"><g class=\"toyplot-Datum\" style=\"fill:rgb(55.3%,62.7%,79.6%);fill-opacity:1.0;opacity:1.0;stroke:rgb(55.3%,62.7%,79.6%);stroke-opacity:1.0\" transform=\"translate(267.39597898003058, 1031.4599668688011)\"><title>weight: 0.139219</title><circle r=\"4.0\"></circle></g></g></g></g><g class=\"toyplot-coordinates-Axis\" id=\"tab0e00c23ed24dfc8ba7af577aa98303\" transform=\"translate(225.0,1100.0)translate(0,25.0)\"><line style=\"\" x1=\"1.1993658105290588\" x2=\"108.4090820002139\" y1=\"0\" y2=\"0\"></line><g><line style=\"\" x1=\"0.0\" x2=\"0.0\" y1=\"0\" y2=\"-5\"></line><line style=\"\" x1=\"36.136360666737964\" x2=\"36.136360666737964\" y1=\"0\" y2=\"-5\"></line><line style=\"\" x1=\"72.27272133347593\" x2=\"72.27272133347593\" y1=\"0\" y2=\"-5\"></line><line style=\"\" x1=\"108.4090820002139\" x2=\"108.4090820002139\" y1=\"0\" y2=\"-5\"></line></g><g><g transform=\"translate(0.0,6)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:10.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-8.615\" y=\"8.555\">-0.3</text></g><g transform=\"translate(36.136360666737964,6)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:10.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-8.615\" y=\"8.555\">-0.2</text></g><g transform=\"translate(72.27272133347593,6)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:10.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-8.615\" y=\"8.555\">-0.1</text></g><g transform=\"translate(108.4090820002139,6)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:10.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-6.95\" y=\"8.555\">0.0</text></g></g><g transform=\"translate(62.5,22)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:bold;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-43.008\" y=\"10.266\">Drift parameter</text></g><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><g class=\"toyplot-coordinates-Cartesian\" id=\"t41ad496e33e6417b8d629d9212016872\"><clipPath id=\"tc22d67003539490f964a8b42114fc21f\"><rect height=\"225.0\" width=\"175.0\" x=\"400.0\" y=\"900.0\"></rect></clipPath><g clip-path=\"url(#tc22d67003539490f964a8b42114fc21f)\"><g class=\"toyplot-mark-Text\" id=\"tf81b21a9b82147bebc997888ad5e2c81\"><g class=\"toyplot-Series\"><g class=\"toyplot-Datum\" transform=\"translate(534.52985577688492,931.65258711721219)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">prz</text></g><g class=\"toyplot-Datum\" transform=\"translate(534.52985577688492,951.86444033790917)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">cys</text></g><g class=\"toyplot-Datum\" transform=\"translate(534.52985577688492,972.07629355860615)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">sup</text></g><g class=\"toyplot-Datum\" transform=\"translate(534.52985577688492,992.28814677930302)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">cya</text></g><g class=\"toyplot-Datum\" transform=\"translate(534.52985577688492,1012.5)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">rck</text></g><g class=\"toyplot-Datum\" transform=\"translate(534.52985577688492,1032.7118532206969)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">rex</text></g><g class=\"toyplot-Datum\" transform=\"translate(534.52985577688492,1052.923706441394)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">lip</text></g><g class=\"toyplot-Datum\" transform=\"translate(534.52985577688492,1073.1355596620908)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">tha</text></g><g class=\"toyplot-Datum\" transform=\"translate(534.52985577688492,1093.3474128827877)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;opacity:1.0;stroke:none;vertical-align:baseline;white-space:pre\" x=\"15.0\" y=\"3.066\">cup</text></g></g></g><g class=\"toyplot-mark-Graph\" id=\"t844f78a4114f490aa98b9d1e72854394\"><g class=\"toyplot-Edges\"><path d=\"M 534.529855777 931.652587117 L 487.95540986 931.652587117\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(66.3%,66.3%,66.3%);stroke-dasharray:2, 4;stroke-linecap:round;stroke-opacity:1.0;stroke-width:1\"></path><path d=\"M 534.529855777 951.864440338 L 519.513845595 951.864440338\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(66.3%,66.3%,66.3%);stroke-dasharray:2, 4;stroke-linecap:round;stroke-opacity:1.0;stroke-width:1\"></path><path d=\"M 534.529855777 972.076293559 L 521.579980285 972.076293559\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(66.3%,66.3%,66.3%);stroke-dasharray:2, 4;stroke-linecap:round;stroke-opacity:1.0;stroke-width:1\"></path><path d=\"M 534.529855777 992.288146779 L 520.26240914 992.288146779\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(66.3%,66.3%,66.3%);stroke-dasharray:2, 4;stroke-linecap:round;stroke-opacity:1.0;stroke-width:1\"></path><path d=\"M 534.529855777 1012.5 L 518.469525883 1012.5\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(66.3%,66.3%,66.3%);stroke-dasharray:2, 4;stroke-linecap:round;stroke-opacity:1.0;stroke-width:1\"></path><path d=\"M 534.529855777 1032.71185322 L 523.665731771 1032.71185322\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(66.3%,66.3%,66.3%);stroke-dasharray:2, 4;stroke-linecap:round;stroke-opacity:1.0;stroke-width:1\"></path><path d=\"M 534.529855777 1052.92370644 L 520.887744294 1052.92370644\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(66.3%,66.3%,66.3%);stroke-dasharray:2, 4;stroke-linecap:round;stroke-opacity:1.0;stroke-width:1\"></path><path d=\"M 534.529855777 1073.13555966 L 524.011010038 1073.13555966\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(66.3%,66.3%,66.3%);stroke-dasharray:2, 4;stroke-linecap:round;stroke-opacity:1.0;stroke-width:1\"></path><path d=\"M 534.529855777 1093.34741288 L 534.529855777 1093.34741288\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(66.3%,66.3%,66.3%);stroke-dasharray:2, 4;stroke-linecap:round;stroke-opacity:1.0;stroke-width:1\"></path><g class=\"toyplot-HeadMarkers\"></g><g class=\"toyplot-MiddleMarkers\"></g><g class=\"toyplot-TailMarkers\"></g></g><g class=\"toyplot-Vertices\"><g class=\"toyplot-Datum\" 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\" transform=\"translate(534.52985577688492, 931.65258711721219)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" 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\" transform=\"translate(534.52985577688492, 951.86444033790917)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" 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\" transform=\"translate(534.52985577688492, 972.07629355860615)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" 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\" transform=\"translate(534.52985577688492, 992.28814677930302)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" 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\" transform=\"translate(534.52985577688492, 1012.5)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" 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\" transform=\"translate(534.52985577688492, 1032.7118532206969)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" 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\" transform=\"translate(534.52985577688492, 1052.923706441394)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" 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\" transform=\"translate(534.52985577688492, 1073.1355596620908)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" 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\" transform=\"translate(534.52985577688492, 1093.3474128827877)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" 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\" transform=\"translate(487.95540985964942, 931.65258711721219)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" 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\" transform=\"translate(519.51384559517214, 951.86444033790917)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" 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\" transform=\"translate(521.57998028459542, 972.07629355860615)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" 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\" transform=\"translate(520.26240913950323, 992.28814677930302)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" 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\" transform=\"translate(518.46952588327702, 1012.5)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" 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\" transform=\"translate(523.66573177118823, 1032.7118532206969)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" 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\" transform=\"translate(520.887744294095, 1052.923706441394)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" 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\" transform=\"translate(524.01101003754411, 1073.1355596620908)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" 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\" transform=\"translate(534.52985577688492, 1093.3474128827877)\"><circle r=\"0.0\"></circle></g></g></g><g class=\"toyplot-mark-Graph\" id=\"t7f5119a751ac4df3b96cb9eabf85e38a\"><g class=\"toyplot-Edges\"><path d=\"M 434.562525965 968.918191493 L 487.95540986 931.652587117\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(16.1%,15.3%,14.1%);stroke-linecap:round;stroke-opacity:1.0;stroke-width:2\"></path><path d=\"M 494.711284384 967.023330253 L 519.513845595 951.864440338\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(16.1%,15.3%,14.1%);stroke-linecap:round;stroke-opacity:1.0;stroke-width:2\"></path><path d=\"M 499.866234026 982.182220169 L 521.579980285 972.076293559\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(16.1%,15.3%,14.1%);stroke-linecap:round;stroke-opacity:1.0;stroke-width:2\"></path><path d=\"M 499.866234026 982.182220169 L 520.26240914 992.288146779\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(16.1%,15.3%,14.1%);stroke-linecap:round;stroke-opacity:1.0;stroke-width:2\"></path><path d=\"M 494.711284384 967.023330253 L 499.866234026 982.182220169\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(16.1%,15.3%,14.1%);stroke-linecap:round;stroke-opacity:1.0;stroke-width:2\"></path><path d=\"M 487.95540986 1006.18379587 L 494.711284384 967.023330253\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(16.1%,15.3%,14.1%);stroke-linecap:round;stroke-opacity:1.0;stroke-width:2\"></path><path d=\"M 504.970226728 1022.60592661 L 518.469525883 1012.5\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(16.1%,15.3%,14.1%);stroke-linecap:round;stroke-opacity:1.0;stroke-width:2\"></path><path d=\"M 504.970226728 1022.60592661 L 523.665731771 1032.71185322\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(16.1%,15.3%,14.1%);stroke-linecap:round;stroke-opacity:1.0;stroke-width:2\"></path><path d=\"M 504.013545505 1045.34426148 L 504.970226728 1022.60592661\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(16.1%,15.3%,14.1%);stroke-linecap:round;stroke-opacity:1.0;stroke-width:2\"></path><path d=\"M 505.401975165 1068.08259636 L 520.887744294 1052.92370644\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(16.1%,15.3%,14.1%);stroke-linecap:round;stroke-opacity:1.0;stroke-width:2\"></path><path d=\"M 508.50088877 1083.24148627 L 524.011010038 1073.13555966\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(16.1%,15.3%,14.1%);stroke-linecap:round;stroke-opacity:1.0;stroke-width:2\"></path><path d=\"M 508.50088877 1083.24148627 L 534.529855777 1093.34741288\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(16.1%,15.3%,14.1%);stroke-linecap:round;stroke-opacity:1.0;stroke-width:2\"></path><path d=\"M 505.401975165 1068.08259636 L 508.50088877 1083.24148627\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(16.1%,15.3%,14.1%);stroke-linecap:round;stroke-opacity:1.0;stroke-width:2\"></path><path d=\"M 504.013545505 1045.34426148 L 505.401975165 1068.08259636\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(16.1%,15.3%,14.1%);stroke-linecap:round;stroke-opacity:1.0;stroke-width:2\"></path><path d=\"M 487.95540986 1006.18379587 L 504.013545505 1045.34426148\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(16.1%,15.3%,14.1%);stroke-linecap:round;stroke-opacity:1.0;stroke-width:2\"></path><path d=\"M 434.562525965 968.918191493 L 487.95540986 1006.18379587\" style=\"fill:rgb(100%,100%,100%);fill-opacity:1.0;stroke:rgb(16.1%,15.3%,14.1%);stroke-linecap:round;stroke-opacity:1.0;stroke-width:2\"></path><g class=\"toyplot-HeadMarkers\"></g><g class=\"toyplot-MiddleMarkers\"></g><g class=\"toyplot-TailMarkers\"></g></g><g class=\"toyplot-Vertices\"><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(434.5625259645721, 968.91819149287221)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(487.95540985964942, 1006.1837958685321)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(494.71128438387154, 967.02333025343182)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(499.86623402610678, 982.1822201689547)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(504.01354550514657, 1045.3442614836326)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(504.97022672843946, 1022.6059266103484)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(505.40197516493595, 1068.0825963569166)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(508.50088877045056, 1083.2414862724393)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(487.95540985964942, 931.65258711721219)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(519.51384559517214, 951.86444033790917)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(521.57998028459542, 972.07629355860615)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(520.26240913950323, 992.28814677930302)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(518.46952588327702, 1012.5)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(523.66573177118823, 1032.7118532206969)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(520.887744294095, 1052.923706441394)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(524.01101003754411, 1073.1355596620908)\"><circle r=\"0.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(534.52985577688492, 1093.3474128827877)\"><circle r=\"0.0\"></circle></g></g></g><g class=\"toyplot-mark-Plot\" id=\"t19a090a8927e44b982dbcbb85af827d0\" style=\"fill:none;stroke-linecap:round;stroke-opacity:0.95;stroke-width:1.67868\"><g class=\"toyplot-Series\"><path d=\"M 494.64676497618495 967.39731737192551 L 530.85566135659474 1091.9208814666763\" style=\"stroke:rgb(40%,76.1%,64.7%);stroke-linecap:round;stroke-opacity:0.95;stroke-width:1.67868\"></path></g></g><g class=\"toyplot-mark-Scatterplot\" id=\"tec80a37c18dc410ba22868d640470617\"><g class=\"toyplot-Series\"><g class=\"toyplot-Datum\" 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\" transform=\"translate(530.85566135659474, 1091.9208814666763)\"><title>weight: 0.167868</title><circle r=\"4.0\"></circle></g></g></g><g class=\"toyplot-mark-Plot\" id=\"tafa8e75d03324cbba77a43b6d152469d\" style=\"fill:none;stroke-linecap:round;stroke-opacity:0.95;stroke-width:3.68291\"><g class=\"toyplot-Series\"><path d=\"M 530.85566135659474 1091.9208814666763 L 521.76102792745814 1031.6822582878417\" style=\"stroke:rgb(98.8%,55.3%,38.4%);stroke-linecap:round;stroke-opacity:0.95;stroke-width:3.68291\"></path></g></g><g class=\"toyplot-mark-Scatterplot\" id=\"tbc9acbe7d7a44702945bd0b1e91aec3e\"><g class=\"toyplot-Series\"><g class=\"toyplot-Datum\" style=\"fill:rgb(98.8%,55.3%,38.4%);fill-opacity:1.0;opacity:1.0;stroke:rgb(98.8%,55.3%,38.4%);stroke-opacity:1.0\" transform=\"translate(521.76102792745814, 1031.6822582878417)\"><title>weight: 0.368291</title><circle r=\"4.0\"></circle></g></g></g><g class=\"toyplot-mark-Plot\" id=\"t85ec76a6844549adada3c606a4b8af07\" style=\"fill:none;stroke-linecap:round;stroke-opacity:0.95;stroke-width:0.163652\"><g class=\"toyplot-Series\"><path d=\"M 517.27643218518358 953.23190812837584 L 508.46582015635335 1083.0699418771248\" style=\"stroke:rgb(55.3%,62.7%,79.6%);stroke-linecap:round;stroke-opacity:0.95;stroke-width:0.163652\"></path></g></g><g class=\"toyplot-mark-Scatterplot\" id=\"t2bae4524be3547a9be8a6567e9335fd1\"><g class=\"toyplot-Series\"><g class=\"toyplot-Datum\" style=\"fill:rgb(55.3%,62.7%,79.6%);fill-opacity:1.0;opacity:1.0;stroke:rgb(55.3%,62.7%,79.6%);stroke-opacity:1.0\" transform=\"translate(508.46582015635335, 1083.0699418771248)\"><title>weight: 0.0163652</title><circle r=\"4.0\"></circle></g></g></g></g><g class=\"toyplot-coordinates-Axis\" id=\"t437eafdf23a24ecba8bf3dfa86ebc472\" transform=\"translate(425.0,1100.0)translate(0,25.0)\"><line style=\"\" x1=\"9.562525964572092\" x2=\"109.52985577688493\" y1=\"0\" y2=\"0\"></line><g><line style=\"\" x1=\"0.0\" x2=\"0.0\" y1=\"0\" y2=\"-5\"></line><line style=\"\" x1=\"36.5099519256283\" x2=\"36.5099519256283\" y1=\"0\" y2=\"-5\"></line><line style=\"\" x1=\"73.0199038512566\" x2=\"73.0199038512566\" y1=\"0\" y2=\"-5\"></line><line style=\"\" x1=\"109.52985577688493\" x2=\"109.52985577688493\" y1=\"0\" y2=\"-5\"></line></g><g><g transform=\"translate(0.0,6)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:10.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-8.615\" y=\"8.555\">-0.3</text></g><g transform=\"translate(36.5099519256283,6)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:10.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-8.615\" y=\"8.555\">-0.2</text></g><g transform=\"translate(73.0199038512566,6)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:10.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-8.615\" y=\"8.555\">-0.1</text></g><g transform=\"translate(109.52985577688493,6)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:10.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-6.95\" y=\"8.555\">0.0</text></g></g><g transform=\"translate(62.5,22)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:bold;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-43.008\" y=\"10.266\">Drift parameter</text></g><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><g class=\"toyplot-coordinates-Cartesian\" id=\"ted3780de896f4b45a9a88f2f0aa16cf1\"><clipPath id=\"tae61ae8066e54ea0a001bb73cab109af\"><rect height=\"225.0\" width=\"175.0\" x=\"600.0\" y=\"900.0\"></rect></clipPath><g clip-path=\"url(#tae61ae8066e54ea0a001bb73cab109af)\"><g class=\"toyplot-mark-Text\" 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1013.3311414164888 L 729.46005774425475 1054.7473931739096\" style=\"stroke:rgb(55.3%,62.7%,79.6%);stroke-linecap:round;stroke-opacity:0.95;stroke-width:3.16649\"></path></g></g><g class=\"toyplot-mark-Scatterplot\" id=\"td9e0d5e51ed24eef974517a3447c34e1\"><g class=\"toyplot-Series\"><g class=\"toyplot-Datum\" style=\"fill:rgb(55.3%,62.7%,79.6%);fill-opacity:1.0;opacity:1.0;stroke:rgb(55.3%,62.7%,79.6%);stroke-opacity:1.0\" transform=\"translate(729.46005774425475, 1054.7473931739096)\"><title>weight: 0.316649</title><circle r=\"4.0\"></circle></g></g></g></g><g class=\"toyplot-coordinates-Axis\" id=\"t4f3441667d9847a7926284b6d263b773\" transform=\"translate(625.0,1100.0)translate(0,25.0)\"><line style=\"\" x1=\"1.2167880600084358\" x2=\"108.41141681145595\" y1=\"0\" y2=\"0\"></line><g><line style=\"\" x1=\"0.0\" x2=\"0.0\" y1=\"0\" y2=\"-5\"></line><line style=\"\" x1=\"36.13713893715198\" x2=\"36.13713893715198\" y1=\"0\" y2=\"-5\"></line><line style=\"\" x1=\"72.27427787430396\" x2=\"72.27427787430396\" y1=\"0\" y2=\"-5\"></line><line style=\"\" x1=\"108.41141681145595\" x2=\"108.41141681145595\" y1=\"0\" y2=\"-5\"></line></g><g><g transform=\"translate(0.0,6)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:10.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-8.615\" y=\"8.555\">-0.3</text></g><g transform=\"translate(36.13713893715198,6)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:10.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-8.615\" y=\"8.555\">-0.2</text></g><g transform=\"translate(72.27427787430396,6)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:10.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-8.615\" y=\"8.555\">-0.1</text></g><g transform=\"translate(108.41141681145595,6)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:10.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-6.95\" y=\"8.555\">0.0</text></g></g><g transform=\"translate(62.5,22)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:bold;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-43.008\" y=\"10.266\">Drift parameter</text></g><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-behavior\"><script>(function()\n",
       "{\n",
       "var modules={};\n",
       "modules[\"toyplot/tables\"] = (function()\n",
       "    {\n",
       "        var tables = [];\n",
       "\n",
       "        var module = {};\n",
       "\n",
       "        module.set = function(owner, key, names, columns)\n",
       "        {\n",
       "            tables.push({owner: owner, key: key, names: names, columns: columns});\n",
       "        }\n",
       "\n",
       "        module.get = function(owner, key)\n",
       "        {\n",
       "            for(var i = 0; i != tables.length; ++i)\n",
       "            {\n",
       "                var table = tables[i];\n",
       "                if(table.owner != owner)\n",
       "                    continue;\n",
       "                if(table.key != key)\n",
       "                    continue;\n",
       "                return {names: table.names, columns: table.columns};\n",
       "            }\n",
       "        }\n",
       "\n",
       "        module.get_csv = function(owner, key)\n",
       "        {\n",
       "            var table = module.get(owner, key);\n",
       "            if(table != undefined)\n",
       "            {\n",
       "                var csv = \"\";\n",
       "                csv += table.names.join(\",\") + \"\\n\";\n",
       "                for(var i = 0; i != table.columns[0].length; ++i)\n",
       "                {\n",
       "                  for(var j = 0; j != table.columns.length; ++j)\n",
       "                  {\n",
       "                    if(j)\n",
       "                      csv += \",\";\n",
       "                    csv += table.columns[j][i];\n",
       "                  }\n",
       "                  csv += \"\\n\";\n",
       "                }\n",
       "                return csv;\n",
       "            }\n",
       "        }\n",
       "\n",
       "        return module;\n",
       "    })();\n",
       "modules[\"toyplot/root/id\"] = \"tdd06dd51e6ca486a979d094f86a4be6b\";\n",
       "modules[\"toyplot/root\"] = (function(root_id)\n",
       "    {\n",
       "        return document.querySelector(\"#\" + root_id);\n",
       "    })(modules[\"toyplot/root/id\"]);\n",
       "modules[\"toyplot/canvas/id\"] = \"tfaddaca61953455b9f4b6a2c1bf47edf\";\n",
       "modules[\"toyplot/canvas\"] = (function(canvas_id)\n",
       "    {\n",
       "        return document.querySelector(\"#\" + canvas_id);\n",
       "    })(modules[\"toyplot/canvas/id\"]);\n",
       "modules[\"toyplot/menus/context\"] = (function(root, canvas)\n",
       "    {\n",
       "        var wrapper = document.createElement(\"div\");\n",
       "        wrapper.innerHTML = \"<ul class='toyplot-context-menu' style='background:#eee; border:1px solid #b8b8b8; border-radius:5px; box-shadow: 0px 0px 8px rgba(0%,0%,0%,0.25); margin:0; padding:3px 0; position:fixed; visibility:hidden;'></ul>\"\n",
       "        var menu = wrapper.firstChild;\n",
       "\n",
       "        root.appendChild(menu);\n",
       "\n",
       "        var items = [];\n",
       "\n",
       "        var ignore_mouseup = null;\n",
       "        function open_menu(e)\n",
       "        {\n",
       "            var show_menu = false;\n",
       "            for(var index=0; index != items.length; ++index)\n",
       "            {\n",
       "                var item = items[index];\n",
       "                if(item.show(e))\n",
       "                {\n",
       "                    item.item.style.display = \"block\";\n",
       "                    show_menu = true;\n",
       "                }\n",
       "                else\n",
       "                {\n",
       "                    item.item.style.display = \"none\";\n",
       "                }\n",
       "            }\n",
       "\n",
       "            if(show_menu)\n",
       "            {\n",
       "                ignore_mouseup = true;\n",
       "                menu.style.left = (e.clientX + 1) + \"px\";\n",
       "                menu.style.top = (e.clientY - 5) + \"px\";\n",
       "                menu.style.visibility = \"visible\";\n",
       "                e.stopPropagation();\n",
       "                e.preventDefault();\n",
       "            }\n",
       "        }\n",
       "\n",
       "        function close_menu()\n",
       "        {\n",
       "            menu.style.visibility = \"hidden\";\n",
       "        }\n",
       "\n",
       "        function contextmenu(e)\n",
       "        {\n",
       "            open_menu(e);\n",
       "        }\n",
       "\n",
       "        function mousemove(e)\n",
       "        {\n",
       "            ignore_mouseup = false;\n",
       "        }\n",
       "\n",
       "        function mouseup(e)\n",
       "        {\n",
       "            if(ignore_mouseup)\n",
       "            {\n",
       "                ignore_mouseup = false;\n",
       "                return;\n",
       "            }\n",
       "            close_menu();\n",
       "        }\n",
       "\n",
       "        function keydown(e)\n",
       "        {\n",
       "            if(e.key == \"Escape\" || e.key == \"Esc\" || e.keyCode == 27)\n",
       "            {\n",
       "                close_menu();\n",
       "            }\n",
       "        }\n",
       "\n",
       "        canvas.addEventListener(\"contextmenu\", contextmenu);\n",
       "        canvas.addEventListener(\"mousemove\", mousemove);\n",
       "        document.addEventListener(\"mouseup\", mouseup);\n",
       "        document.addEventListener(\"keydown\", keydown);\n",
       "\n",
       "        var module = {};\n",
       "        module.add_item = function(label, show, activate)\n",
       "        {\n",
       "            var wrapper = document.createElement(\"div\");\n",
       "            wrapper.innerHTML = \"<li class='toyplot-context-menu-item' style='background:#eee; color:#333; padding:2px 20px; list-style:none; margin:0; text-align:left;'>\" + label + \"</li>\"\n",
       "            var item = wrapper.firstChild;\n",
       "\n",
       "            items.push({item: item, show: show});\n",
       "\n",
       "            function mouseover()\n",
       "            {\n",
       "                this.style.background = \"steelblue\";\n",
       "                this.style.color = \"white\";\n",
       "            }\n",
       "\n",
       "            function mouseout()\n",
       "            {\n",
       "                this.style.background = \"#eee\";\n",
       "                this.style.color = \"#333\";\n",
       "            }\n",
       "\n",
       "            function choose_item(e)\n",
       "            {\n",
       "                close_menu();\n",
       "                activate();\n",
       "\n",
       "                e.stopPropagation();\n",
       "                e.preventDefault();\n",
       "            }\n",
       "\n",
       "            item.addEventListener(\"mouseover\", mouseover);\n",
       "            item.addEventListener(\"mouseout\", mouseout);\n",
       "            item.addEventListener(\"mouseup\", choose_item);\n",
       "            item.addEventListener(\"contextmenu\", choose_item);\n",
       "\n",
       "            menu.appendChild(item);\n",
       "        };\n",
       "        return module;\n",
       "    })(modules[\"toyplot/root\"],modules[\"toyplot/canvas\"]);\n",
       "modules[\"toyplot/io\"] = (function()\n",
       "    {\n",
       "        var module = {};\n",
       "        module.save_file = function(mime_type, charset, data, filename)\n",
       "        {\n",
       "            var uri = \"data:\" + mime_type + \";charset=\" + charset + \",\" + data;\n",
       "            uri = encodeURI(uri);\n",
       "\n",
       "            var link = document.createElement(\"a\");\n",
       "            if(typeof link.download != \"undefined\")\n",
       "            {\n",
       "              link.href = uri;\n",
       "              link.style = \"visibility:hidden\";\n",
       "              link.download = filename;\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",
       "        return module;\n",
       "    })();\n",
       "modules[\"toyplot.coordinates.Axis\"] = (\n",
       "        function(canvas)\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",
       "            var axes = {};\n",
       "\n",
       "            function display_coordinates(e)\n",
       "            {\n",
       "                var current = canvas.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",
       "            canvas.addEventListener(\"click\", display_coordinates);\n",
       "\n",
       "            var module = {};\n",
       "            module.show_coordinates = function(axis_id, projection)\n",
       "            {\n",
       "                axes[axis_id] = projection;\n",
       "            }\n",
       "\n",
       "            return module;\n",
       "        })(modules[\"toyplot/canvas\"]);\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t60d932991eb548039319ec5a23dfa3aa\",\"vertex_data\",\"graph vertex data\",[\"x\", \"y\"],[[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.09575410000000001, -0.009973100000000013, 0.0, -0.009496399999999988, -0.018612800000000013, -0.008511149999999995, -0.016490100000000008, -0.01349023000000002, -0.03146333000000001], [8.0, 7.0, 6.0, 5.0, 4.0, 3.0, 2.0, 1.0, 0.0, 8.0, 7.0, 6.0, 5.0, 4.0, 3.0, 2.0, 1.0, 0.0]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t60d932991eb548039319ec5a23dfa3aa\",\"edge_data\",\"graph edge data\",[\"source\", \"target\"],[[0, 1, 2, 3, 4, 5, 6, 7, 8], [9, 10, 11, 12, 13, 14, 15, 16, 17]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"td62f420055e241dc82f14b2e3af98ae4\",\"vertex_data\",\"graph vertex data\",[\"x\", \"y\"],[[-0.2486691, -0.09575410000000001, -0.0769486, -0.056715600000000005, -0.05963460000000001, -0.05435775000000001, -0.05153250000000001, -0.049917830000000024, -0.09575410000000001, -0.009973100000000013, 0.0, -0.009496399999999988, -0.018612800000000013, -0.008511149999999995, -0.016490100000000008, -0.01349023000000002, -0.03146333000000001], [6.328125, 4.65625, 6.25, 5.5, 3.0625, 2.125, 1.25, 0.5, 8.0, 7.0, 6.0, 5.0, 4.0, 3.0, 2.0, 1.0, 0.0]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"td62f420055e241dc82f14b2e3af98ae4\",\"edge_data\",\"graph edge data\",[\"source\", \"target\"],[[0, 2, 3, 3, 2, 1, 4, 5, 6, 7, 7, 6, 5, 4, 1, 0], [8, 9, 10, 11, 3, 2, 12, 13, 14, 15, 16, 7, 6, 5, 4, 1]],\"toyplot\");\n",
       "(function(axis, axis_id, projection)\n",
       "        {\n",
       "            axis.show_coordinates(axis_id, projection);\n",
       "        })(modules[\"toyplot.coordinates.Axis\"],\"t00f12a1eae984a7e84b8cfa83bec47d1\",[{\"domain\": {\"bounds\": {\"max\": Infinity, \"min\": -Infinity}, \"max\": 0.0384820405632, \"min\": -0.2486691}, \"range\": {\"bounds\": {\"max\": Infinity, \"min\": -Infinity}, \"max\": 125.0, \"min\": 0.0}, \"scale\": \"linear\"}]);\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t016eb585ae584c7c931396ba61cf0cd1\",\"vertex_data\",\"graph vertex data\",[\"x\", \"y\"],[[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.09209215999999998, -0.007761560000000001, -0.010804259999999982, -0.01500675999999998, -0.005883559999999982, 0.0, -0.005141153999999981, -0.0031087439999999966, -0.02412614399999999], [8.0, 7.0, 6.0, 5.0, 4.0, 3.0, 2.0, 1.0, 0.0, 8.0, 7.0, 6.0, 5.0, 4.0, 3.0, 2.0, 1.0, 0.0]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t016eb585ae584c7c931396ba61cf0cd1\",\"edge_data\",\"graph edge data\",[\"source\", \"target\"],[[0, 1, 2, 3, 4, 5, 6, 7, 8], [9, 10, 11, 12, 13, 14, 15, 16, 17]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"ta449e97b83c14378957b70537c8a829e\",\"vertex_data\",\"graph vertex data\",[\"x\", \"y\"],[[-0.24316116, -0.09209215999999998, -0.07706335999999997, -0.059873959999999976, -0.05120665999999999, -0.04603779999999999, -0.04522895399999999, -0.04167224399999997, -0.09209215999999998, -0.007761560000000001, -0.010804259999999982, -0.01500675999999998, -0.005883559999999982, 0.0, -0.005141153999999981, -0.0031087439999999966, -0.02412614399999999], [6.328125, 4.65625, 6.25, 5.5, 3.0625, 2.125, 1.25, 0.5, 8.0, 7.0, 6.0, 5.0, 4.0, 3.0, 2.0, 1.0, 0.0]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"ta449e97b83c14378957b70537c8a829e\",\"edge_data\",\"graph edge data\",[\"source\", \"target\"],[[0, 2, 3, 3, 2, 1, 4, 5, 6, 7, 7, 6, 5, 4, 1, 0], [8, 9, 10, 11, 3, 2, 12, 13, 14, 15, 16, 7, 6, 5, 4, 1]],\"toyplot\");\n",
       "(function(axis, axis_id, projection)\n",
       "        {\n",
       "            axis.show_coordinates(axis_id, projection);\n",
       "        })(modules[\"toyplot.coordinates.Axis\"],\"t9c323dcb861d4369ab9341444a8084d1\",[{\"domain\": {\"bounds\": {\"max\": Infinity, \"min\": -Infinity}, \"max\": 0.03762967583232, \"min\": -0.24316116}, \"range\": {\"bounds\": {\"max\": Infinity, \"min\": -Infinity}, \"max\": 125.0, \"min\": 0.0}, \"scale\": \"linear\"}]);\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"tbbb72dcf3d154a6099aed797fce71561\",\"vertex_data\",\"graph vertex data\",[\"x\", \"y\"],[[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.08639993000000001, -0.003557830000000012, -0.002272330000000017, -0.0019159300000000101, -0.009897030000000001, 0.0, -0.0057540500000000105, -0.001367563000000016, -0.021318163], [8.0, 7.0, 6.0, 5.0, 4.0, 3.0, 2.0, 1.0, 0.0, 8.0, 7.0, 6.0, 5.0, 4.0, 3.0, 2.0, 1.0, 0.0]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"tbbb72dcf3d154a6099aed797fce71561\",\"edge_data\",\"graph edge data\",[\"source\", \"target\"],[[0, 1, 2, 3, 4, 5, 6, 7, 8], [9, 10, 11, 12, 13, 14, 15, 16, 17]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"ta77a924b572441a2adcc07286f70ca98\",\"vertex_data\",\"graph vertex data\",[\"x\", \"y\"],[[-0.24519193, -0.08639993000000001, -0.07077343000000003, -0.05219393, -0.04992483, -0.0458799, -0.04450155, -0.04361166300000002, -0.08639993000000001, -0.003557830000000012, -0.002272330000000017, -0.0019159300000000101, -0.009897030000000001, 0.0, -0.0057540500000000105, -0.001367563000000016, -0.021318163], [6.328125, 4.65625, 6.25, 5.5, 3.0625, 2.125, 1.25, 0.5, 8.0, 7.0, 6.0, 5.0, 4.0, 3.0, 2.0, 1.0, 0.0]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"ta77a924b572441a2adcc07286f70ca98\",\"edge_data\",\"graph edge data\",[\"source\", \"target\"],[[0, 2, 3, 3, 2, 1, 4, 5, 6, 7, 7, 6, 5, 4, 1, 0], [8, 9, 10, 11, 3, 2, 12, 13, 14, 15, 16, 7, 6, 5, 4, 1]],\"toyplot\");\n",
       "(function(axis, axis_id, projection)\n",
       "        {\n",
       "            axis.show_coordinates(axis_id, projection);\n",
       "        })(modules[\"toyplot.coordinates.Axis\"],\"t03ec777e123347ec960b6211d51f486a\",[{\"domain\": {\"bounds\": {\"max\": Infinity, \"min\": -Infinity}, \"max\": 0.03794394155136011, \"min\": -0.24519193}, \"range\": {\"bounds\": {\"max\": Infinity, \"min\": -Infinity}, \"max\": 125.0, \"min\": 0.0}, \"scale\": \"linear\"}]);\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t5332b068dac548428e2eb0e283f79087\",\"vertex_data\",\"graph vertex data\",[\"x\", \"y\"],[[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.09286444299999999, -0.010127742999999995, -0.0030641429999999914, -0.005856342999999986, -0.012781142999999995, -0.0015681629999999835, -0.004309922999999993, 0.0, -0.019530999999999993], [8.0, 7.0, 6.0, 5.0, 4.0, 3.0, 2.0, 1.0, 0.0, 8.0, 7.0, 6.0, 5.0, 4.0, 3.0, 2.0, 1.0, 0.0]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t5332b068dac548428e2eb0e283f79087\",\"edge_data\",\"graph edge data\",[\"source\", \"target\"],[[0, 1, 2, 3, 4, 5, 6, 7, 8], [9, 10, 11, 12, 13, 14, 15, 16, 17]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t181d5bd2593843ac8afbac9854138521\",\"vertex_data\",\"graph vertex data\",[\"x\", \"y\"],[[-0.24058344299999998, -0.09286444299999999, -0.079225943, -0.062796943, -0.052309542999999986, -0.04594226299999998, -0.043074323, -0.0423742, -0.09286444299999999, -0.010127742999999995, -0.0030641429999999914, -0.005856342999999986, -0.012781142999999995, -0.0015681629999999835, -0.004309922999999993, 0.0, -0.019530999999999993], [6.328125, 4.65625, 6.25, 5.5, 3.0625, 2.125, 1.25, 0.5, 8.0, 7.0, 6.0, 5.0, 4.0, 3.0, 2.0, 1.0, 0.0]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t181d5bd2593843ac8afbac9854138521\",\"edge_data\",\"graph edge data\",[\"source\", \"target\"],[[0, 2, 3, 3, 2, 1, 4, 5, 6, 7, 7, 6, 5, 4, 1, 0], [8, 9, 10, 11, 3, 2, 12, 13, 14, 15, 16, 7, 6, 5, 4, 1]],\"toyplot\");\n",
       "(function(axis, axis_id, projection)\n",
       "        {\n",
       "            axis.show_coordinates(axis_id, projection);\n",
       "        })(modules[\"toyplot.coordinates.Axis\"],\"t649c72f6557d4f66ab1ef73fa54bd073\",[{\"domain\": {\"bounds\": {\"max\": Infinity, \"min\": -Infinity}, \"max\": 0.037230768971136106, \"min\": -0.24058344299999998}, \"range\": {\"bounds\": {\"max\": Infinity, \"min\": -Infinity}, \"max\": 125.0, \"min\": 0.0}, \"scale\": \"linear\"}]);\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t94ecf66526da4a95b3e4c5280bdb653c\",\"vertex_data\",\"graph vertex data\",[\"x\", \"y\"],[[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.0950568, -0.012766300000000008, -0.014250099999999988, -0.019726099999999996, -0.023777500000000007, -0.011729719999999999, -0.034697900000000004, -0.008684899999999995, 0.0], [8.0, 7.0, 6.0, 5.0, 4.0, 3.0, 2.0, 1.0, 0.0, 8.0, 7.0, 6.0, 5.0, 4.0, 3.0, 2.0, 1.0, 0.0]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t94ecf66526da4a95b3e4c5280bdb653c\",\"edge_data\",\"graph edge data\",[\"source\", \"target\"],[[0, 1, 2, 3, 4, 5, 6, 7, 8], [9, 10, 11, 12, 13, 14, 15, 16, 17]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"td6d27f8b1ca4422186976545e06b7453\",\"vertex_data\",\"graph vertex data\",[\"x\", \"y\"],[[-0.2466528, -0.0950568, -0.08367839999999999, -0.067466, -0.059818800000000005, -0.05223532, -0.050898799999999994, -0.0491704, -0.0950568, -0.012766300000000008, -0.014250099999999988, -0.019726099999999996, -0.023777500000000007, -0.011729719999999999, -0.034697900000000004, -0.008684899999999995, 0.0], [6.328125, 4.65625, 6.25, 5.5, 3.0625, 2.125, 1.25, 0.5, 8.0, 7.0, 6.0, 5.0, 4.0, 3.0, 2.0, 1.0, 0.0]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"td6d27f8b1ca4422186976545e06b7453\",\"edge_data\",\"graph edge data\",[\"source\", \"target\"],[[0, 2, 3, 3, 2, 1, 4, 5, 6, 7, 7, 6, 5, 4, 1, 0], [8, 9, 10, 11, 3, 2, 12, 13, 14, 15, 16, 7, 6, 5, 4, 1]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t348a2c0e95b8437db876d9a188947ca2\",\"data\",\"plot data\",[\"x\", \"y0\"],[[-0.019441232001896576, -0.004812243069086006], [6.929402753529758, 0.04893434941637657]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t89d2aa37800c4e9a8ee6768b052ed70c\",\"data\",\"scatterplot\",[\"x\", \"y0\"],[[-0.004812243069086006], [0.04893434941637657]],\"toyplot\");\n",
       "(function(axis, axis_id, projection)\n",
       "        {\n",
       "            axis.show_coordinates(axis_id, projection);\n",
       "        })(modules[\"toyplot.coordinates.Axis\"],\"t1c096a35eb154855bf710da51a13ef94\",[{\"domain\": {\"bounds\": {\"max\": Infinity, \"min\": -Infinity}, \"max\": 0.0381700141056, \"min\": -0.2466528}, \"range\": {\"bounds\": {\"max\": Infinity, \"min\": -Infinity}, \"max\": 125.0, \"min\": 0.0}, \"scale\": \"linear\"}]);\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"tf10d43a09baa431f9e930c214ea7581a\",\"vertex_data\",\"graph vertex data\",[\"x\", \"y\"],[[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.12988851199999998, -0.047888211999999986, -0.04879351199999998, -0.04498691199999999, -0.045598711999999986, -0.04548495199999997, -0.06372872999999998, -0.03418209999999999, 0.0], [8.0, 7.0, 6.0, 5.0, 4.0, 3.0, 2.0, 1.0, 0.0, 8.0, 7.0, 6.0, 5.0, 4.0, 3.0, 2.0, 1.0, 0.0]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"tf10d43a09baa431f9e930c214ea7581a\",\"edge_data\",\"graph edge data\",[\"source\", \"target\"],[[0, 1, 2, 3, 4, 5, 6, 7, 8], [9, 10, 11, 12, 13, 14, 15, 16, 17]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t0915c5b802984b568a2e0f6622d1b4b3\",\"vertex_data\",\"graph vertex data\",[\"x\", \"y\"],[[-0.282359512, -0.12988851199999998, -0.11863001199999998, -0.09978441199999999, -0.08394511199999999, -0.08250135199999997, -0.08209162999999997, -0.07737659999999999, -0.12988851199999998, -0.047888211999999986, -0.04879351199999998, -0.04498691199999999, -0.045598711999999986, -0.04548495199999997, -0.06372872999999998, -0.03418209999999999, 0.0], [6.328125, 4.65625, 6.25, 5.5, 3.0625, 2.125, 1.25, 0.5, 8.0, 7.0, 6.0, 5.0, 4.0, 3.0, 2.0, 1.0, 0.0]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t0915c5b802984b568a2e0f6622d1b4b3\",\"edge_data\",\"graph edge data\",[\"source\", \"target\"],[[0, 2, 3, 3, 2, 1, 4, 5, 6, 7, 7, 6, 5, 4, 1, 0], [8, 9, 10, 11, 3, 2, 12, 13, 14, 15, 16, 7, 6, 5, 4, 1]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t115b815e3705430cbc76ccecb8855f78\",\"data\",\"plot data\",[\"x\", \"y0\"],[[-0.11870954182570286, -0.01183341818272765], [6.238741780902077, 0.07646638765936764]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t6acfa6bae19147c3a7b77672dcdd0465\",\"data\",\"scatterplot\",[\"x\", \"y0\"],[[-0.01183341818272765], [0.07646638765936764]],\"toyplot\");\n",
       "(function(axis, axis_id, projection)\n",
       "        {\n",
       "            axis.show_coordinates(axis_id, projection);\n",
       "        })(modules[\"toyplot.coordinates.Axis\"],\"te603652cc1634537a22f245d3bea522c\",[{\"domain\": {\"bounds\": {\"max\": Infinity, \"min\": -Infinity}, \"max\": 0.043695699201023994, \"min\": -0.30000000000000004}, \"range\": {\"bounds\": {\"max\": Infinity, \"min\": -Infinity}, \"max\": 125.0, \"min\": 0.0}, \"scale\": \"linear\"}]);\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t3229f7bbe3db41e899e19d07cfa9bb63\",\"vertex_data\",\"graph vertex data\",[\"x\", \"y\"],[[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.19859881000000001, -0.21158031000000005, -0.21052021000000004, -0.22086741000000004, -0.21846314000000006, -0.20008768000000005, -0.23143725000000004, -0.19280675000000003], [8.0, 7.0, 6.0, 5.0, 4.0, 3.0, 2.0, 1.0, 0.0, 8.0, 7.0, 6.0, 5.0, 4.0, 3.0, 2.0, 1.0, 0.0]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t3229f7bbe3db41e899e19d07cfa9bb63\",\"edge_data\",\"graph edge data\",[\"source\", \"target\"],[[0, 1, 2, 3, 4, 5, 6, 7, 8], [9, 10, 11, 12, 13, 14, 15, 16, 17]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"tc51a1cfb48b74417bf6a007332959cb6\",\"vertex_data\",\"graph vertex data\",[\"x\", \"y\"],[[-0.298484, -0.29540681, -0.27976771, -0.26419911, -0.25908661000000005, -0.25224104, -0.24992348000000003, -0.24825935000000005, 0.0, -0.19859881000000001, -0.21158031000000005, -0.21052021000000004, -0.22086741000000004, -0.21846314000000006, -0.20008768000000005, -0.23143725000000004, -0.19280675000000003], [6.328125, 4.65625, 6.25, 5.5, 3.0625, 2.125, 1.25, 0.5, 8.0, 7.0, 6.0, 5.0, 4.0, 3.0, 2.0, 1.0, 0.0]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"tc51a1cfb48b74417bf6a007332959cb6\",\"edge_data\",\"graph edge data\",[\"source\", \"target\"],[[0, 2, 3, 3, 2, 1, 4, 5, 6, 7, 7, 6, 5, 4, 1, 0], [8, 9, 10, 11, 3, 2, 12, 13, 14, 15, 16, 7, 6, 5, 4, 1]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t6a1c6477570142b59fad9b50ea760257\",\"data\",\"plot data\",[\"x\", \"y0\"],[[-0.05245960370205037, -0.19891925478989353], [7.706162139547295, 0.055114681637051376]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t2e6b0f403ca84180b79f373e3a88e8d0\",\"data\",\"scatterplot\",[\"x\", \"y0\"],[[-0.19891925478989353], [0.055114681637051376]],\"toyplot\");\n",
       "(function(axis, axis_id, projection)\n",
       "        {\n",
       "            axis.show_coordinates(axis_id, projection);\n",
       "        })(modules[\"toyplot.coordinates.Axis\"],\"t701bc0fb2dd448e195d49892afcc0664\",[{\"domain\": {\"bounds\": {\"max\": Infinity, \"min\": -Infinity}, \"max\": 0.04619099596800014, \"min\": -0.30000000000000004}, \"range\": {\"bounds\": {\"max\": Infinity, \"min\": -Infinity}, \"max\": 125.0, \"min\": 0.0}, \"scale\": \"linear\"}]);\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"te2c2ea92c5a04f4b8143f096fc745206\",\"vertex_data\",\"graph vertex data\",[\"x\", \"y\"],[[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.20423732, -0.20973573, -0.21208703, -0.20467732000000002, -0.20028130000000002, -0.20579232000000003, -0.19143335000000003, -0.22462675000000001], [8.0, 7.0, 6.0, 5.0, 4.0, 3.0, 2.0, 1.0, 0.0, 8.0, 7.0, 6.0, 5.0, 4.0, 3.0, 2.0, 1.0, 0.0]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"te2c2ea92c5a04f4b8143f096fc745206\",\"edge_data\",\"graph edge data\",[\"source\", \"target\"],[[0, 1, 2, 3, 4, 5, 6, 7, 8], [9, 10, 11, 12, 13, 14, 15, 16, 17]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t690f77dab4164d9ea3d969ab6b7ca6a4\",\"vertex_data\",\"graph vertex data\",[\"x\", \"y\"],[[-0.297547, -0.29211142, -0.27841272, -0.26861913, -0.25096802, -0.24681940000000002, -0.24418772, -0.24140445, 0.0, -0.20423732, -0.20973573, -0.21208703, -0.20467732000000002, -0.20028130000000002, -0.20579232000000003, -0.19143335000000003, -0.22462675000000001], [6.328125, 4.65625, 6.25, 5.5, 3.0625, 2.125, 1.25, 0.5, 8.0, 7.0, 6.0, 5.0, 4.0, 3.0, 2.0, 1.0, 0.0]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t690f77dab4164d9ea3d969ab6b7ca6a4\",\"edge_data\",\"graph edge data\",[\"source\", \"target\"],[[0, 2, 3, 3, 2, 1, 4, 5, 6, 7, 7, 6, 5, 4, 1, 0], [8, 9, 10, 11, 3, 2, 12, 13, 14, 15, 16, 7, 6, 5, 4, 1]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t94f2d764e74149fe949638ce9bc6caba\",\"data\",\"plot data\",[\"x\", \"y0\"],[[-0.05213580642505513, -0.196402814729198], [7.707056191570108, 0.9502766125900974]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t26046a28f065471cbb9a5f62954b9938\",\"data\",\"scatterplot\",[\"x\", \"y0\"],[[-0.196402814729198], [0.9502766125900974]],\"toyplot\");\n",
       "(function(axis, axis_id, projection)\n",
       "        {\n",
       "            axis.show_coordinates(axis_id, projection);\n",
       "        })(modules[\"toyplot.coordinates.Axis\"],\"t351060ee12bd448c93570ccf4a6a7d1a\",[{\"domain\": {\"bounds\": {\"max\": Infinity, \"min\": -Infinity}, \"max\": 0.046045993344000134, \"min\": -0.30000000000000004}, \"range\": {\"bounds\": {\"max\": Infinity, \"min\": -Infinity}, \"max\": 125.0, \"min\": 0.0}, \"scale\": \"linear\"}]);\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t007585557c4441d4ad253854847bea57\",\"vertex_data\",\"graph vertex data\",[\"x\", \"y\"],[[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.11902309999999999, -0.1194886, -0.12850820000000002, -0.1034699, -0.09640057000000002, -0.11839841000000001, -0.09387686, -0.09584116000000001], [8.0, 7.0, 6.0, 5.0, 4.0, 3.0, 2.0, 1.0, 0.0, 8.0, 7.0, 6.0, 5.0, 4.0, 3.0, 2.0, 1.0, 0.0]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t007585557c4441d4ad253854847bea57\",\"edge_data\",\"graph edge data\",[\"source\", \"target\"],[[0, 1, 2, 3, 4, 5, 6, 7, 8], [9, 10, 11, 12, 13, 14, 15, 16, 17]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t8d06c0c6cf7d4fdbb964f5ce841ca8d4\",\"vertex_data\",\"graph vertex data\",[\"x\", \"y\"],[[-0.25345, -0.209343, -0.1898126, -0.17473660000000002, -0.1460352, -0.13866657000000002, -0.13579211000000002, -0.13259706000000002, 0.0, -0.11902309999999999, -0.1194886, -0.12850820000000002, -0.1034699, -0.09640057000000002, -0.11839841000000001, -0.09387686, -0.09584116000000001], [6.328125, 4.65625, 6.25, 5.5, 3.0625, 2.125, 1.25, 0.5, 8.0, 7.0, 6.0, 5.0, 4.0, 3.0, 2.0, 1.0, 0.0]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t8d06c0c6cf7d4fdbb964f5ce841ca8d4\",\"edge_data\",\"graph edge data\",[\"source\", \"target\"],[[0, 2, 3, 3, 2, 1, 4, 5, 6, 7, 7, 6, 5, 4, 1, 0], [8, 9, 10, 11, 3, 2, 12, 13, 14, 15, 16, 7, 6, 5, 4, 1]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t0d167080e0184f6f86cdc4c32dff0257\",\"data\",\"plot data\",[\"x\", \"y0\"],[[-0.037988042314815285, -0.13261067100249654], [7.749413066699224, 0.5031950210082425]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t6c0c2b1179f24f33b05a2ec678bb4dfd\",\"data\",\"scatterplot\",[\"x\", \"y0\"],[[-0.13261067100249654], [0.5031950210082425]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t772cf3af85b24803b0732c6abc4729db\",\"data\",\"plot data\",[\"x\", \"y0\"],[[-0.13276417803921634, -0.1485479650524721], [5.046032071618489, 3.125757912964554]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"tf1a71ee2d9c0407fa80d17fd62d01c1c\",\"data\",\"scatterplot\",[\"x\", \"y0\"],[[-0.1485479650524721], [3.125757912964554]],\"toyplot\");\n",
       "(function(axis, axis_id, projection)\n",
       "        {\n",
       "            axis.show_coordinates(axis_id, projection);\n",
       "        })(modules[\"toyplot.coordinates.Axis\"],\"t3819ee8b79cb446bba8391dce46eafad\",[{\"domain\": {\"bounds\": {\"max\": Infinity, \"min\": -Infinity}, \"max\": 0.0392218944, \"min\": -0.30000000000000004}, \"range\": {\"bounds\": {\"max\": Infinity, \"min\": -Infinity}, \"max\": 125.0, \"min\": 0.0}, \"scale\": \"linear\"}]);\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t38fb0de8c35e4d7dacf3ee4a1ad2b818\",\"vertex_data\",\"graph vertex data\",[\"x\", \"y\"],[[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.08879801000000001, -0.002552410000000005, -0.01004461000000001, -0.00013731000000002935, -0.011029509999999992, 0.0, -0.021984840000000005, -0.0004535200000000128, -0.0008404200000000084], [8.0, 7.0, 6.0, 5.0, 4.0, 3.0, 2.0, 1.0, 0.0, 8.0, 7.0, 6.0, 5.0, 4.0, 3.0, 2.0, 1.0, 0.0]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t38fb0de8c35e4d7dacf3ee4a1ad2b818\",\"edge_data\",\"graph edge data\",[\"source\", \"target\"],[[0, 1, 2, 3, 4, 5, 6, 7, 8], [9, 10, 11, 12, 13, 14, 15, 16, 17]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"td51364cba4534580a2ad14c727bed77e\",\"vertex_data\",\"graph vertex data\",[\"x\", \"y\"],[[-0.24403501000000002, -0.08879801000000001, -0.07331921000000002, -0.05775551000000001, -0.049637510000000024, -0.043304200000000015, -0.04130994000000002, -0.03925442000000001, -0.08879801000000001, -0.002552410000000005, -0.01004461000000001, -0.00013731000000002935, -0.011029509999999992, 0.0, -0.021984840000000005, -0.0004535200000000128, -0.0008404200000000084], [6.328125, 4.65625, 6.25, 5.5, 3.0625, 2.125, 1.25, 0.5, 8.0, 7.0, 6.0, 5.0, 4.0, 3.0, 2.0, 1.0, 0.0]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"td51364cba4534580a2ad14c727bed77e\",\"edge_data\",\"graph edge data\",[\"source\", \"target\"],[[0, 2, 3, 3, 2, 1, 4, 5, 6, 7, 7, 6, 5, 4, 1, 0], [8, 9, 10, 11, 3, 2, 12, 13, 14, 15, 16, 7, 6, 5, 4, 1]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"tfcbb337bffe748f58b9396dc08f251b3\",\"data\",\"plot data\",[\"x\", \"y0\"],[[-0.003455514185620584, -0.006733372413802385], [0.961315405240335, 5.057239400170452]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t5d963d1f39354de287d74074cfc19d51\",\"data\",\"scatterplot\",[\"x\", \"y0\"],[[-0.006733372413802385], [5.057239400170452]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"te8d9c6e4845b4319ab195ac0026ff6db\",\"data\",\"plot data\",[\"x\", \"y0\"],[[-0.10315034517220044, -0.03926005352880274], [7.845427891765349, 0.5020555122801271]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t5b1717e021854e89a72878239a117353\",\"data\",\"scatterplot\",[\"x\", \"y0\"],[[-0.03926005352880274], [0.5020555122801271]],\"toyplot\");\n",
       "(function(axis, axis_id, projection)\n",
       "        {\n",
       "            axis.show_coordinates(axis_id, projection);\n",
       "        })(modules[\"toyplot.coordinates.Axis\"],\"tc020906005d745c3aa4c6279b2054e0e\",[{\"domain\": {\"bounds\": {\"max\": Infinity, \"min\": -Infinity}, \"max\": 0.03776490586752, \"min\": -0.24403501000000002}, \"range\": {\"bounds\": {\"max\": Infinity, \"min\": -Infinity}, \"max\": 125.0, \"min\": 0.0}, \"scale\": \"linear\"}]);\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t995653a8da3249efafafdeca8e864fa1\",\"vertex_data\",\"graph vertex data\",[\"x\", \"y\"],[[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.21698058000000003, -0.22347638000000003, -0.22591628000000002, -0.21660318, -0.24159999000000001, -0.15295712800000003, -0.205745638, -0.21914533800000002], [8.0, 7.0, 6.0, 5.0, 4.0, 3.0, 2.0, 1.0, 0.0, 8.0, 7.0, 6.0, 5.0, 4.0, 3.0, 2.0, 1.0, 0.0]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t995653a8da3249efafafdeca8e864fa1\",\"edge_data\",\"graph edge data\",[\"source\", \"target\"],[[0, 1, 2, 3, 4, 5, 6, 7, 8], [9, 10, 11, 12, 13, 14, 15, 16, 17]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"tf91b8d7ba2c24c948876c4e1e4030531\",\"vertex_data\",\"graph vertex data\",[\"x\", \"y\"],[[-0.305576, -0.29961388, -0.28690918, -0.27273868, -0.26308428, -0.25395189, -0.253450128, -0.25232613800000003, 0.0, -0.21698058000000003, -0.22347638000000003, -0.22591628000000002, -0.21660318, -0.24159999000000001, -0.15295712800000003, -0.205745638, -0.21914533800000002], [6.328125, 4.65625, 6.25, 5.5, 3.0625, 2.125, 1.25, 0.5, 8.0, 7.0, 6.0, 5.0, 4.0, 3.0, 2.0, 1.0, 0.0]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"tf91b8d7ba2c24c948876c4e1e4030531\",\"edge_data\",\"graph edge data\",[\"source\", \"target\"],[[0, 2, 3, 3, 2, 1, 4, 5, 6, 7, 7, 6, 5, 4, 1, 0], [8, 9, 10, 11, 3, 2, 12, 13, 14, 15, 16, 7, 6, 5, 4, 1]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t2be20b4c426142c5907c8be7bf714f58\",\"data\",\"plot data\",[\"x\", \"y0\"],[[-0.05494131967349861, -0.2100664145184405], [7.699403687367036, 0.9536203291244139]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t137816b5efa246148ce698feb8f21396\",\"data\",\"scatterplot\",[\"x\", \"y0\"],[[-0.2100664145184405], [0.9536203291244139]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"ted06d774c53d49b59d1968c69e96e198\",\"data\",\"plot data\",[\"x\", \"y0\"],[[-0.2189048782654881, -0.16630298261776513], [3.9535759238939034, 1.9003971325035194]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t95bf493f31934706a7787aa54bbd6da4\",\"data\",\"scatterplot\",[\"x\", \"y0\"],[[-0.16630298261776513], [1.9003971325035194]],\"toyplot\");\n",
       "(function(axis, axis_id, projection)\n",
       "        {\n",
       "            axis.show_coordinates(axis_id, projection);\n",
       "        })(modules[\"toyplot.coordinates.Axis\"],\"tc6f1b989442349c288a2cc4064ec2d20\",[{\"domain\": {\"bounds\": {\"max\": Infinity, \"min\": -Infinity}, \"max\": 0.04728849715200014, \"min\": -0.305576}, \"range\": {\"bounds\": {\"max\": Infinity, \"min\": -Infinity}, \"max\": 125.0, \"min\": 0.0}, \"scale\": \"linear\"}]);\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"tf49a019c1f874dcb96977c0617f73759\",\"vertex_data\",\"graph vertex data\",[\"x\", \"y\"],[[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.13735462, -0.054520820000000025, -0.05059212000000002, -0.05785172000000002, -0.05639692000000002, 0.0, -0.050643400000000005, -0.07054362000000003, -0.04234522000000002], [8.0, 7.0, 6.0, 5.0, 4.0, 3.0, 2.0, 1.0, 0.0, 8.0, 7.0, 6.0, 5.0, 4.0, 3.0, 2.0, 1.0, 0.0]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"tf49a019c1f874dcb96977c0617f73759\",\"edge_data\",\"graph edge data\",[\"source\", \"target\"],[[0, 1, 2, 3, 4, 5, 6, 7, 8], [9, 10, 11, 12, 13, 14, 15, 16, 17]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t5822449507e64fd38d05e71c69738afd\",\"vertex_data\",\"graph vertex data\",[\"x\", \"y\"],[[-0.30454762, -0.13735462, -0.12365532000000001, -0.10703182, -0.10145212, -0.09130692000000001, -0.08755290000000002, -0.08967242000000003, -0.13735462, -0.054520820000000025, -0.05059212000000002, -0.05785172000000002, -0.05639692000000002, 0.0, -0.050643400000000005, -0.07054362000000003, -0.04234522000000002], [6.25, 4.5, 6.25, 5.5, 2.75, 1.5, 2.5, 0.5, 8.0, 7.0, 6.0, 5.0, 4.0, 3.0, 2.0, 1.0, 0.0]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t5822449507e64fd38d05e71c69738afd\",\"edge_data\",\"graph edge data\",[\"source\", \"target\"],[[0, 2, 3, 3, 2, 1, 4, 6, 6, 5, 7, 7, 5, 4, 1, 0], [8, 9, 10, 11, 3, 2, 12, 13, 14, 6, 15, 16, 7, 5, 4, 1]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"tc1c01d1d3e114da091359af910fd00f6\",\"data\",\"plot data\",[\"x\", \"y0\"],[[-0.05801984294411244, -0.015101251009525703], [3.9549740389535386, 2.913759275766276]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t1c640e18ee2a4ec897622ad6868abe34\",\"data\",\"scatterplot\",[\"x\", \"y0\"],[[-0.015101251009525703], [2.913759275766276]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"tdc7009ac7f3f439daae6fc1c059abe8a\",\"data\",\"plot data\",[\"x\", \"y0\"],[[-0.04680501360875773, -0.15325564331648983], [0.04711660111688113, 7.833564857357322]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t7626f2cbb0084132b56a73c14134017e\",\"data\",\"scatterplot\",[\"x\", \"y0\"],[[-0.15325564331648983], [7.833564857357322]],\"toyplot\");\n",
       "(function(axis, axis_id, projection)\n",
       "        {\n",
       "            axis.show_coordinates(axis_id, projection);\n",
       "        })(modules[\"toyplot.coordinates.Axis\"],\"t2afee18b91994e1fb5808d6359605f5b\",[{\"domain\": {\"bounds\": {\"max\": Infinity, \"min\": -Infinity}, \"max\": 0.047129353290240136, \"min\": -0.30454762}, \"range\": {\"bounds\": {\"max\": Infinity, \"min\": -Infinity}, \"max\": 125.0, \"min\": 0.0}, \"scale\": \"linear\"}]);\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"taf541662d7d44d1b82551a86e0e679dd\",\"vertex_data\",\"graph vertex data\",[\"x\", \"y\"],[[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.2037738, -0.2022834, -0.21060910000000002, -0.21774770000000004, -0.20284099000000003, -0.20247160000000003, -0.19026030000000002, -0.22744360000000002], [8.0, 7.0, 6.0, 5.0, 4.0, 3.0, 2.0, 1.0, 0.0, 8.0, 7.0, 6.0, 5.0, 4.0, 3.0, 2.0, 1.0, 0.0]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"taf541662d7d44d1b82551a86e0e679dd\",\"edge_data\",\"graph edge data\",[\"source\", \"target\"],[[0, 1, 2, 3, 4, 5, 6, 7, 8], [9, 10, 11, 12, 13, 14, 15, 16, 17]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"tb280df69d0024967a3f8943c2ac5f4b2\",\"vertex_data\",\"graph vertex data\",[\"x\", \"y\"],[[-0.301752, -0.2985197, -0.2705224, -0.2543017, -0.25790080000000004, -0.25089449, -0.24639190000000002, -0.24427360000000004, 0.0, -0.2037738, -0.2022834, -0.21060910000000002, -0.21774770000000004, -0.20284099000000003, -0.20247160000000003, -0.19026030000000002, -0.22744360000000002], [6.328125, 4.65625, 6.25, 5.5, 3.0625, 2.125, 1.25, 0.5, 8.0, 7.0, 6.0, 5.0, 4.0, 3.0, 2.0, 1.0, 0.0]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"tb280df69d0024967a3f8943c2ac5f4b2\",\"edge_data\",\"graph edge data\",[\"source\", \"target\"],[[0, 2, 3, 3, 2, 1, 4, 5, 6, 7, 7, 6, 5, 4, 1, 0], [8, 9, 10, 11, 3, 2, 12, 13, 14, 15, 16, 7, 6, 5, 4, 1]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t06eacb0f06cd453daa71a136076afa93\",\"data\",\"plot data\",[\"x\", \"y0\"],[[-0.053596394754930714, -0.19606142251946215], [7.703045969932594, 0.9462991289232271]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t1887c8033a16483d81f03bc14cfae759\",\"data\",\"scatterplot\",[\"x\", \"y0\"],[[-0.19606142251946215], [0.9462991289232271]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"tc0cfa768ec2445ea92c130978f004697\",\"data\",\"plot data\",[\"x\", \"y0\"],[[-0.22800977715268592, -0.2710141508320144], [0.016820473936003603, 6.222007018943864]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"tef97e809d39e43d28170b50b62c1dba6\",\"data\",\"scatterplot\",[\"x\", \"y0\"],[[-0.2710141508320144], [6.222007018943864]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t56b2900e52494516ba12a610da89c896\",\"data\",\"plot data\",[\"x\", \"y0\"],[[-0.053596394754930714, -0.20503919155698375], [7.703045969932594, 1.9561548152508568]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t3e71f011faf94bdf9702e71224c09a8c\",\"data\",\"scatterplot\",[\"x\", \"y0\"],[[-0.20503919155698375], [1.9561548152508568]],\"toyplot\");\n",
       "(function(axis, axis_id, projection)\n",
       "        {\n",
       "            axis.show_coordinates(axis_id, projection);\n",
       "        })(modules[\"toyplot.coordinates.Axis\"],\"t12fb373a87b54c25b5f3abf277bb89f8\",[{\"domain\": {\"bounds\": {\"max\": Infinity, \"min\": -Infinity}, \"max\": 0.046696725504, \"min\": -0.301752}, \"range\": {\"bounds\": {\"max\": Infinity, \"min\": -Infinity}, \"max\": 125.0, \"min\": 0.0}, \"scale\": \"linear\"}]);\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t413ceb073fec429695e2ed5eb3927558\",\"vertex_data\",\"graph vertex data\",[\"x\", \"y\"],[[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.19470349999999997, -0.20445809999999998, -0.20398539999999998, -0.19235533999999996, -0.17494553999999995, -0.21847211999999996, -0.19565547999999996, -0.12528407999999996], [8.0, 7.0, 6.0, 5.0, 4.0, 3.0, 2.0, 1.0, 0.0, 8.0, 7.0, 6.0, 5.0, 4.0, 3.0, 2.0, 1.0, 0.0]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t413ceb073fec429695e2ed5eb3927558\",\"edge_data\",\"graph edge data\",[\"source\", \"target\"],[[0, 1, 2, 3, 4, 5, 6, 7, 8], [9, 10, 11, 12, 13, 14, 15, 16, 17]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t67b0ff24faba46bdb9cf80601c7cf4ff\",\"vertex_data\",\"graph vertex data\",[\"x\", \"y\"],[[-0.296681, -0.28535299999999997, -0.2689238, -0.2562675, -0.2413589, -0.23736453999999996, -0.23843141999999998, -0.23136507999999997, 0.0, -0.19470349999999997, -0.20445809999999998, -0.20398539999999998, -0.19235533999999996, -0.17494553999999995, -0.21847211999999996, -0.19565547999999996, -0.12528407999999996], [6.15625, 4.3125, 6.25, 5.5, 2.375, 3.5, 1.25, 0.5, 8.0, 7.0, 6.0, 5.0, 4.0, 3.0, 2.0, 1.0, 0.0]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t67b0ff24faba46bdb9cf80601c7cf4ff\",\"edge_data\",\"graph edge data\",[\"source\", \"target\"],[[0, 2, 3, 3, 2, 1, 5, 5, 4, 6, 7, 7, 6, 4, 1, 0], [8, 9, 10, 11, 3, 2, 12, 13, 5, 14, 15, 16, 7, 6, 4, 1]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"tcb36da4d05db467a9ee3ab14696e0ec5\",\"data\",\"plot data\",[\"x\", \"y0\"],[[-0.04713315263525562, -0.23143165459314424], [7.707086904212765, 0.5070660263811528]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"tfcc8f9bd0fac4d9482908fdc58aa3261\",\"data\",\"scatterplot\",[\"x\", \"y0\"],[[-0.23143165459314424], [0.5070660263811528]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t2481a911b3ec4052b5f5652e5e22b30f\",\"data\",\"plot data\",[\"x\", \"y0\"],[[-0.18267778437618287, -0.1473003842690947], [3.0619382269515927, 0.10377119497881211]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"tf7cdc9039eb64067be1142c2dc3144e7\",\"data\",\"scatterplot\",[\"x\", \"y0\"],[[-0.1473003842690947], [0.10377119497881211]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t067b6d2f57b44bf3bf806229613bf17d\",\"data\",\"plot data\",[\"x\", \"y0\"],[[-0.26906310782406745, -0.18267778437618287], [6.233571390625797, 3.0619382269515927]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t510e1738e1944c94b000f62ec4d900c7\",\"data\",\"scatterplot\",[\"x\", \"y0\"],[[-0.18267778437618287], [3.0619382269515927]],\"toyplot\");\n",
       "(function(axis, axis_id, projection)\n",
       "        {\n",
       "            axis.show_coordinates(axis_id, projection);\n",
       "        })(modules[\"toyplot.coordinates.Axis\"],\"tab0e00c23ed24dfc8ba7af577aa98303\",[{\"domain\": {\"bounds\": {\"max\": Infinity, \"min\": -Infinity}, \"max\": 0.045911978112, \"min\": -0.30000000000000004}, \"range\": {\"bounds\": {\"max\": Infinity, \"min\": -Infinity}, \"max\": 125.0, \"min\": 0.0}, \"scale\": \"linear\"}]);\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t844f78a4114f490aa98b9d1e72854394\",\"vertex_data\",\"graph vertex data\",[\"x\", \"y\"],[[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.12756644000000003, -0.04112854000000005, -0.03546944000000002, -0.03907824000000004, -0.04398891000000005, -0.029756610000000044, -0.03736546000000002, -0.028810900000000028, 0.0], [8.0, 7.0, 6.0, 5.0, 4.0, 3.0, 2.0, 1.0, 0.0, 8.0, 7.0, 6.0, 5.0, 4.0, 3.0, 2.0, 1.0, 0.0]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t844f78a4114f490aa98b9d1e72854394\",\"edge_data\",\"graph edge data\",[\"source\", \"target\"],[[0, 1, 2, 3, 4, 5, 6, 7, 8], [9, 10, 11, 12, 13, 14, 15, 16, 17]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t7f5119a751ac4df3b96cb9eabf85e38a\",\"vertex_data\",\"graph vertex data\",[\"x\", \"y\"],[[-0.27380844000000004, -0.12756644000000003, -0.10906224000000003, -0.09494294000000003, -0.08358354000000004, -0.08096321000000004, -0.07978066000000003, -0.07129280000000005, -0.12756644000000003, -0.04112854000000005, -0.03546944000000002, -0.03907824000000004, -0.04398891000000005, -0.029756610000000044, -0.03736546000000002, -0.028810900000000028, 0.0], [6.15625, 4.3125, 6.25, 5.5, 2.375, 3.5, 1.25, 0.5, 8.0, 7.0, 6.0, 5.0, 4.0, 3.0, 2.0, 1.0, 0.0]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t7f5119a751ac4df3b96cb9eabf85e38a\",\"edge_data\",\"graph edge data\",[\"source\", \"target\"],[[0, 2, 3, 3, 2, 1, 5, 5, 4, 6, 7, 7, 6, 4, 1, 0], [8, 9, 10, 11, 3, 2, 12, 13, 5, 14, 15, 16, 7, 6, 4, 1]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t19a090a8927e44b982dbcbb85af827d0\",\"data\",\"plot data\",[\"x\", \"y0\"],[[-0.10923895731756328, -0.010063542202889351], [6.231496643854974, 0.07057895189198168]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"tec80a37c18dc410ba22868d640470617\",\"data\",\"scatterplot\",[\"x\", \"y0\"],[[-0.010063542202889351], [0.07057895189198168]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"tafa8e75d03324cbba77a43b6d152469d\",\"data\",\"plot data\",[\"x\", \"y0\"],[[-0.010063542202889351, -0.03497355426662073], [0.07057895189198168, 3.0509401548493815]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"tbc9acbe7d7a44702945bd0b1e91aec3e\",\"data\",\"scatterplot\",[\"x\", \"y0\"],[[-0.03497355426662073], [3.0509401548493815]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t85ec76a6844549adada3c606a4b8af07\",\"data\",\"plot data\",[\"x\", \"y0\"],[[-0.04725676885811018, -0.07138885220562512], [6.932343275228898, 0.5084873164989527]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t2bae4524be3547a9be8a6567e9335fd1\",\"data\",\"scatterplot\",[\"x\", \"y0\"],[[-0.07138885220562512], [0.5084873164989527]],\"toyplot\");\n",
       "(function(axis, axis_id, projection)\n",
       "        {\n",
       "            axis.show_coordinates(axis_id, projection);\n",
       "        })(modules[\"toyplot.coordinates.Axis\"],\"t437eafdf23a24ecba8bf3dfa86ebc472\",[{\"domain\": {\"bounds\": {\"max\": Infinity, \"min\": -Infinity}, \"max\": 0.04237240370688013, \"min\": -0.30000000000000004}, \"range\": {\"bounds\": {\"max\": Infinity, \"min\": -Infinity}, \"max\": 125.0, \"min\": 0.0}, \"scale\": \"linear\"}]);\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"tbe9f046aeea94b57b16ffe9d717186e1\",\"vertex_data\",\"graph vertex data\",[\"x\", \"y\"],[[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.14774186, -0.05332376, -0.06386175999999999, -0.06434196, -0.06765276, -0.06011004, 0.0, -0.0014095299999999922, -0.05256293000000001], [8.0, 7.0, 6.0, 5.0, 4.0, 3.0, 2.0, 1.0, 0.0, 8.0, 7.0, 6.0, 5.0, 4.0, 3.0, 2.0, 1.0, 0.0]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"tbe9f046aeea94b57b16ffe9d717186e1\",\"edge_data\",\"graph edge data\",[\"source\", \"target\"],[[0, 1, 2, 3, 4, 5, 6, 7, 8], [9, 10, 11, 12, 13, 14, 15, 16, 17]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t1fedf12cfbae425392dcffa8d09781fe\",\"vertex_data\",\"graph vertex data\",[\"x\", \"y\"],[[-0.29663286, -0.14774186, -0.13036926000000001, -0.11342965999999999, -0.10881386000000001, -0.10005374, -0.09088869999999999, -0.08769033000000001, -0.14774186, -0.05332376, -0.06386175999999999, -0.06434196, -0.06765276, -0.06011004, 0.0, -0.0014095299999999922, -0.05256293000000001], [6.328125, 4.65625, 6.25, 5.5, 3.0625, 2.125, 1.25, 0.5, 8.0, 7.0, 6.0, 5.0, 4.0, 3.0, 2.0, 1.0, 0.0]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t1fedf12cfbae425392dcffa8d09781fe\",\"edge_data\",\"graph edge data\",[\"source\", \"target\"],[[0, 2, 3, 3, 2, 1, 4, 5, 6, 7, 7, 6, 5, 4, 1, 0], [8, 9, 10, 11, 3, 2, 12, 13, 14, 15, 16, 7, 6, 5, 4, 1]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t5ffabc38efad4e39ac965facbdeb9fb3\",\"data\",\"plot data\",[\"x\", \"y0\"],[[-0.061931570650669523, -0.016081438897966358], [2.960097854747161, 0.9149758179226064]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t110e3274111a41c5ad37892b18cd5992\",\"data\",\"scatterplot\",[\"x\", \"y0\"],[[-0.016081438897966358], [0.9149758179226064]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"tcab588d6abdf4bdaa0d683f6598ebc81\",\"data\",\"plot data\",[\"x\", \"y0\"],[[-0.06119700498191591, -0.08770396930352158], [6.923357837428053, 0.5031983409177727]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t6f93d1ee67414a8099e05ca8a92fb894\",\"data\",\"scatterplot\",[\"x\", \"y0\"],[[-0.08770396930352158], [0.5031983409177727]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"t5bb8b760538f49a1b2af733ab5561b90\",\"data\",\"plot data\",[\"x\", \"y0\"],[[-0.06945820592111346, -0.01093434395587635], [3.9588785151260812, 1.9097714240944446]],\"toyplot\");\n",
       "(function(tables, context_menu, io, owner_id, key, label, names, columns, filename)\n",
       "        {\n",
       "            tables.set(owner_id, key, names, columns);\n",
       "\n",
       "            var owner = document.querySelector(\"#\" + owner_id);\n",
       "            function show_item(e)\n",
       "            {\n",
       "                return owner.contains(e.target);\n",
       "            }\n",
       "\n",
       "            function choose_item()\n",
       "            {\n",
       "                io.save_file(\"text/csv\", \"utf-8\", tables.get_csv(owner_id, key), filename + \".csv\");\n",
       "            }\n",
       "\n",
       "            context_menu.add_item(\"Save \" + label + \" as CSV\", show_item, choose_item);\n",
       "        })(modules[\"toyplot/tables\"],modules[\"toyplot/menus/context\"],modules[\"toyplot/io\"],\"td9e0d5e51ed24eef974517a3447c34e1\",\"data\",\"scatterplot\",[\"x\", \"y0\"],[[-0.01093434395587635], [1.9097714240944446]],\"toyplot\");\n",
       "(function(axis, axis_id, projection)\n",
       "        {\n",
       "            axis.show_coordinates(axis_id, projection);\n",
       "        })(modules[\"toyplot.coordinates.Axis\"],\"t4f3441667d9847a7926284b6d263b773\",[{\"domain\": {\"bounds\": {\"max\": Infinity, \"min\": -Infinity}, \"max\": 0.045904528350720133, \"min\": -0.30000000000000004}, \"range\": {\"bounds\": {\"max\": Infinity, \"min\": -Infinity}, \"max\": 125.0, \"min\": 0.0}, \"scale\": \"linear\"}]);\n",
       "})();</script></div></div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import toyplot\n",
    "import numpy as np\n",
    "\n",
    "## plot many results\n",
    "canvas = toyplot.Canvas(width=800, height=1200)\n",
    "idx = 0\n",
    "for mig in range(4):\n",
    "    for rep in range(4):\n",
    "        tmp = tdict[\"mig-{}-rep-{}\".format(mig, rep)]\n",
    "        ax = canvas.cartesian(grid=(4, 4, idx), padding=25, margin=(25, 50, 100, 25))\n",
    "        ax = tmp.draw(ax)\n",
    "        idx += 1"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### ABBA-BABA admixture inference"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [],
   "source": [
    "bb = ipa.baba(\n",
    "    data=min4.outfiles.loci,\n",
    "    newick=\"analysis-raxml/RAxML_bestTree.min13\",\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "database   None                \n",
       "mincov     1                   \n",
       "nboots     1000                \n",
       "quiet      False               "
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## check params\n",
    "bb.params"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "36 tests generated from tree\n"
     ]
    }
   ],
   "source": [
    "## generate all tests from the tree where 32082 is p4\n",
    "bb.generate_tests_from_tree(\n",
    "    constraint_dict={\n",
    "        \"p4\": [\"32082_przewalskii\"],\n",
    "        \"p3\": [\"30556_thamno\"],\n",
    "        }\n",
    "    )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[####################] 100%  calculating D-stats  | 0:00:37 |  \n"
     ]
    }
   ],
   "source": [
    "## run the tests in parallel\n",
    "bb.run(ipyclient=ipyclient)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "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>Z</th>\n",
       "      <th>ABBA</th>\n",
       "      <th>BABA</th>\n",
       "      <th>nloci</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>0.198</td>\n",
       "      <td>0.199</td>\n",
       "      <td>0.027</td>\n",
       "      <td>7.291</td>\n",
       "      <td>593.156</td>\n",
       "      <td>396.844</td>\n",
       "      <td>10629</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>-0.208</td>\n",
       "      <td>-0.207</td>\n",
       "      <td>0.031</td>\n",
       "      <td>6.648</td>\n",
       "      <td>370.500</td>\n",
       "      <td>565.000</td>\n",
       "      <td>10365</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>0.208</td>\n",
       "      <td>0.208</td>\n",
       "      <td>0.031</td>\n",
       "      <td>6.625</td>\n",
       "      <td>565.000</td>\n",
       "      <td>370.500</td>\n",
       "      <td>10365</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>0.186</td>\n",
       "      <td>0.186</td>\n",
       "      <td>0.032</td>\n",
       "      <td>5.830</td>\n",
       "      <td>555.250</td>\n",
       "      <td>381.250</td>\n",
       "      <td>10243</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>-0.186</td>\n",
       "      <td>-0.186</td>\n",
       "      <td>0.033</td>\n",
       "      <td>5.708</td>\n",
       "      <td>381.250</td>\n",
       "      <td>555.250</td>\n",
       "      <td>10243</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    dstat  bootmean  bootstd      Z     ABBA     BABA  nloci\n",
       "12  0.198     0.199    0.027  7.291  593.156  396.844  10629\n",
       "27 -0.208    -0.207    0.031  6.648  370.500  565.000  10365\n",
       "20  0.208     0.208    0.031  6.625  565.000  370.500  10365\n",
       "16  0.186     0.186    0.032  5.830  555.250  381.250  10243\n",
       "26 -0.186    -0.186    0.033  5.708  381.250  555.250  10243"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bb.results_table.sort_values(by=\"Z\", ascending=False).head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'p1': ['35236_rex'],\n",
       " 'p2': ['35855_rex', '40578_rex'],\n",
       " 'p3': ['30556_thamno'],\n",
       " 'p4': ['32082_przewalskii']}"
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## most significant result (more ABBA than BABA)\n",
    "bb.tests[12]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'p1': ['40578_rex'],\n",
       " 'p2': ['35236_rex'],\n",
       " 'p3': ['30556_thamno'],\n",
       " 'p4': ['32082_przewalskii']}"
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## the next most signif (more BABA than ABBA)\n",
    "bb.tests[27]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### BPP -- species tree inference/delim"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "## a dictionary mapping sample names to 'species' names\n",
    "imap = {\n",
    "    \"prz\": [\"32082_przewalskii\", \"33588_przewalskii\"],\n",
    "    \"cys\": [\"41478_cyathophylloides\", \"41954_cyathophylloides\"],\n",
    "    \"cya\": [\"30686_cyathophylla\"],\n",
    "    \"sup\": [\"29154_superba\"],\n",
    "    \"cup\": [\"33413_thamno\"],\n",
    "    \"tha\": [\"30556_thamno\"],\n",
    "    \"rck\": [\"35236_rex\"],\n",
    "    \"rex\": [\"35855_rex\", \"40578_rex\"],\n",
    "    \"lip\": [\"39618_rex\", \"38362_rex\"],  \n",
    "    }\n",
    "\n",
    "## optional: loci will be filtered if they do not have data for at\n",
    "## least N samples/individuals in each species.\n",
    "minmap = {\n",
    "    \"prz\": 2,\n",
    "    \"cys\": 2,\n",
    "    \"cya\": 1,\n",
    "    \"sup\": 1,\n",
    "    \"cup\": 1,\n",
    "    \"tha\": 1, \n",
    "    \"rck\": 1,\n",
    "    \"rex\": 2,\n",
    "    \"lip\": 2,\n",
    "    }\n",
    "\n",
    "## a tree hypothesis (guidetree) (here based on tetrad results)\n",
    "## for the 'species' we've collapsed samples into.\n",
    "newick = \"((((((rex, lip), rck), tha), cup), (cys, (cya, sup))), prz);\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "## initiata a bpp object \n",
    "b = ipa.bpp(\n",
    "    name=min4.name,\n",
    "    data=min4.outfiles.alleles,\n",
    "    imap=imap,\n",
    "    minmap=minmap,\n",
    "    guidetree=newick,\n",
    "    )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "burnin          1000                \n",
       "cleandata       0                   \n",
       "delimit_alg     (0, 5)              \n",
       "finetune        (0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01)\n",
       "infer_delimit   0                   \n",
       "infer_sptree    0                   \n",
       "nsample         2000                \n",
       "sampfreq        20                  \n",
       "seed            12345               \n",
       "tauprior        (2, 2000, 1)        \n",
       "thetaprior      (2, 2000)           \n",
       "usedata         1                   "
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## set some optional params, leaving others at their defaults\n",
    "## you should definitely run these longer for real analyses\n",
    "b.params.burnin = 1000\n",
    "b.params.nsample = 2000\n",
    "b.params.sampfreq = 20\n",
    "\n",
    "## print params\n",
    "b.params"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "maxloci   100                 \n",
       "minmap    {'cys': 4, 'rex': 4, 'cup': 2, 'rck': 2, 'cya': 2, 'lip': 4, 'sup': 2, 'tha': 2, 'prz': 4}\n",
       "minsnps   4                   "
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## set some optional filters leaving others at their defaults\n",
    "b.filters.maxloci=100\n",
    "b.filters.minsnps=4\n",
    "\n",
    "## print filters\n",
    "b.filters"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### run BPP\n",
    "You can either call '`write_bpp_files()`' to write input files for this data set to be run in BPP, and then call BPP on those files, or you can use the '`.run()`' command to run the data files directly, and in parallel on the cluster. If you specify multiple reps then a different random sample of loci will be selected, and different random seeds applied to each replicate. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "input files created for job min4 (100 loci)\n"
     ]
    }
   ],
   "source": [
    "b.write_bpp_files()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "submitted 2 bpp jobs [min4] (100 loci)\n"
     ]
    }
   ],
   "source": [
    "b.run()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 77,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## wait for all ipyclient jobs to finish\n",
    "ipyclient.wait()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "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>count</th>\n",
       "      <th>mean</th>\n",
       "      <th>std</th>\n",
       "      <th>min</th>\n",
       "      <th>25%</th>\n",
       "      <th>50%</th>\n",
       "      <th>75%</th>\n",
       "      <th>max</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>theta_1cup</th>\n",
       "      <td>2000.0</td>\n",
       "      <td>0.002</td>\n",
       "      <td>4.720e-04</td>\n",
       "      <td>1.110e-03</td>\n",
       "      <td>1.949e-03</td>\n",
       "      <td>0.002</td>\n",
       "      <td>0.003</td>\n",
       "      <td>0.005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>theta_2cya</th>\n",
       "      <td>2000.0</td>\n",
       "      <td>0.001</td>\n",
       "      <td>4.587e-04</td>\n",
       "      <td>1.944e-04</td>\n",
       "      <td>9.056e-04</td>\n",
       "      <td>0.001</td>\n",
       "      <td>0.002</td>\n",
       "      <td>0.003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>theta_3cys</th>\n",
       "      <td>2000.0</td>\n",
       "      <td>0.001</td>\n",
       "      <td>2.569e-04</td>\n",
       "      <td>7.718e-04</td>\n",
       "      <td>1.091e-03</td>\n",
       "      <td>0.001</td>\n",
       "      <td>0.001</td>\n",
       "      <td>0.002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>theta_4lip</th>\n",
       "      <td>2000.0</td>\n",
       "      <td>0.002</td>\n",
       "      <td>3.075e-04</td>\n",
       "      <td>9.518e-04</td>\n",
       "      <td>1.619e-03</td>\n",
       "      <td>0.002</td>\n",
       "      <td>0.002</td>\n",
       "      <td>0.003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>theta_5prz</th>\n",
       "      <td>2000.0</td>\n",
       "      <td>0.007</td>\n",
       "      <td>7.235e-04</td>\n",
       "      <td>4.556e-03</td>\n",
       "      <td>6.150e-03</td>\n",
       "      <td>0.007</td>\n",
       "      <td>0.007</td>\n",
       "      <td>0.009</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>theta_6rck</th>\n",
       "      <td>2000.0</td>\n",
       "      <td>0.002</td>\n",
       "      <td>4.692e-04</td>\n",
       "      <td>1.090e-03</td>\n",
       "      <td>1.860e-03</td>\n",
       "      <td>0.002</td>\n",
       "      <td>0.002</td>\n",
       "      <td>0.004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tau_13rexliprcktha</th>\n",
       "      <td>2000.0</td>\n",
       "      <td>0.002</td>\n",
       "      <td>2.376e-04</td>\n",
       "      <td>1.470e-03</td>\n",
       "      <td>1.854e-03</td>\n",
       "      <td>0.002</td>\n",
       "      <td>0.002</td>\n",
       "      <td>0.003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tau_14rexliprck</th>\n",
       "      <td>2000.0</td>\n",
       "      <td>0.002</td>\n",
       "      <td>2.367e-04</td>\n",
       "      <td>1.191e-03</td>\n",
       "      <td>1.781e-03</td>\n",
       "      <td>0.002</td>\n",
       "      <td>0.002</td>\n",
       "      <td>0.003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tau_15rexlip</th>\n",
       "      <td>2000.0</td>\n",
       "      <td>0.002</td>\n",
       "      <td>2.466e-04</td>\n",
       "      <td>9.497e-04</td>\n",
       "      <td>1.717e-03</td>\n",
       "      <td>0.002</td>\n",
       "      <td>0.002</td>\n",
       "      <td>0.003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tau_16cyscyasup</th>\n",
       "      <td>2000.0</td>\n",
       "      <td>0.005</td>\n",
       "      <td>4.718e-04</td>\n",
       "      <td>3.503e-03</td>\n",
       "      <td>4.881e-03</td>\n",
       "      <td>0.005</td>\n",
       "      <td>0.006</td>\n",
       "      <td>0.007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tau_17cyasup</th>\n",
       "      <td>2000.0</td>\n",
       "      <td>0.002</td>\n",
       "      <td>7.494e-04</td>\n",
       "      <td>3.230e-04</td>\n",
       "      <td>1.270e-03</td>\n",
       "      <td>0.002</td>\n",
       "      <td>0.002</td>\n",
       "      <td>0.005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>lnL</th>\n",
       "      <td>2000.0</td>\n",
       "      <td>-13806.667</td>\n",
       "      <td>2.362e+01</td>\n",
       "      <td>-1.389e+04</td>\n",
       "      <td>-1.382e+04</td>\n",
       "      <td>-13806.152</td>\n",
       "      <td>-13790.543</td>\n",
       "      <td>-13733.031</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>26 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                     count       mean        std        min        25%  \\\n",
       "theta_1cup          2000.0      0.002  4.720e-04  1.110e-03  1.949e-03   \n",
       "theta_2cya          2000.0      0.001  4.587e-04  1.944e-04  9.056e-04   \n",
       "theta_3cys          2000.0      0.001  2.569e-04  7.718e-04  1.091e-03   \n",
       "theta_4lip          2000.0      0.002  3.075e-04  9.518e-04  1.619e-03   \n",
       "theta_5prz          2000.0      0.007  7.235e-04  4.556e-03  6.150e-03   \n",
       "theta_6rck          2000.0      0.002  4.692e-04  1.090e-03  1.860e-03   \n",
       "...                    ...        ...        ...        ...        ...   \n",
       "tau_13rexliprcktha  2000.0      0.002  2.376e-04  1.470e-03  1.854e-03   \n",
       "tau_14rexliprck     2000.0      0.002  2.367e-04  1.191e-03  1.781e-03   \n",
       "tau_15rexlip        2000.0      0.002  2.466e-04  9.497e-04  1.717e-03   \n",
       "tau_16cyscyasup     2000.0      0.005  4.718e-04  3.503e-03  4.881e-03   \n",
       "tau_17cyasup        2000.0      0.002  7.494e-04  3.230e-04  1.270e-03   \n",
       "lnL                 2000.0 -13806.667  2.362e+01 -1.389e+04 -1.382e+04   \n",
       "\n",
       "                          50%        75%        max  \n",
       "theta_1cup              0.002      0.003      0.005  \n",
       "theta_2cya              0.001      0.002      0.003  \n",
       "theta_3cys              0.001      0.001      0.002  \n",
       "theta_4lip              0.002      0.002      0.003  \n",
       "theta_5prz              0.007      0.007      0.009  \n",
       "theta_6rck              0.002      0.002      0.004  \n",
       "...                       ...        ...        ...  \n",
       "tau_13rexliprcktha      0.002      0.002      0.003  \n",
       "tau_14rexliprck         0.002      0.002      0.003  \n",
       "tau_15rexlip            0.002      0.002      0.003  \n",
       "tau_16cyscyasup         0.005      0.006      0.007  \n",
       "tau_17cyasup            0.002      0.002      0.005  \n",
       "lnL                -13806.152 -13790.543 -13733.031  \n",
       "\n",
       "[26 rows x 8 columns]"
      ]
     },
     "execution_count": 90,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## check results\n",
    "## parse the mcmc table with pandas library\n",
    "import pandas as pd\n",
    "btable = pd.read_csv(b.files.mcmcfiles[0], sep=\"\\t\", index_col=0)\n",
    "btable.describe().T"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Success -- you're finished\n",
    "Now that you have an idea of the myriad ways you can assembly your data, and some of the downstream analysis tools you are ready to explore RAD-seq data.  \n"
   ]
  }
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