testdocs/analysis/cookbook-pca-empirical.ipynb

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  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h1><span style=\"color:gray\">ipyrad-analysis toolkit:</span> Dimensionality reduction</h1>\n",
    "\n",
    "The `pca` tool can be used to implement a number of dimensionality reduction methods on SNP data (PCA, t-SNE, UMAP) and to filter and/or impute missing data in genotype matrices to reduce the effects of missing data. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Load libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# conda install ipyrad -c conda-forge -c bioconda\n",
    "# conda install ipcoal -c conda-forge\n",
    "# conda install scikit-learn -c conda-forge"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "import ipyrad.analysis as ipa\n",
    "import toyplot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.9.61\n",
      "0.19.0\n"
     ]
    }
   ],
   "source": [
    "print(ipa.__version__)\n",
    "print(toyplot.__version__)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### The input data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# the simulated SNP database file\n",
    "SNPS = \"/tmp/oaks.snps.hdf5\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "file already exists\n"
     ]
    }
   ],
   "source": [
    "# download example hdf5 dataset (158Mb, takes ~2-3 minutes)\n",
    "URL = \"https://www.dropbox.com/s/x6a4i47xqum27fo/virentes_ref.snps.hdf5?raw=1\"\n",
    "ipa.download(url=URL, path=SNPS);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Make an IMAP dictionary (map popnames to list of samplenames)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "metadata": {},
   "outputs": [],
   "source": [
    "IMAP = {\n",
    "    \"virg\": [\"LALC2\", \"TXWV2\", \"FLBA140\", \"FLSF33\", \"SCCU3\"],\n",
    "    \"mini\": [\"FLSF47\", \"FLMO62\", \"FLSA185\", \"FLCK216\"],\n",
    "    \"gemi\": [\"FLCK18\", \"FLSF54\", \"FLWO6\", \"FLAB109\"],\n",
    "    \"bran\": [\"BJSL25\", \"BJSB3\", \"BJVL19\"],\n",
    "    \"fusi\": [\"MXED8\", \"MXGT4\", \"TXMD3\", \"TXGR3\"],\n",
    "    \"sagr\": [\"CUCA4\", \"CUSV6\", \"CUVN10\"],\n",
    "    \"oleo\": [\"MXSA3017\", \"BZBB1\", \"HNDA09\", \"CRL0030\", \"CRL0001\"],\n",
    "}\n",
    "MINMAP = {\n",
    "    \"virg\": 3,\n",
    "    \"mini\": 3,\n",
    "    \"gemi\": 3,\n",
    "    \"bran\": 2,\n",
    "    \"fusi\": 2,\n",
    "    \"sagr\": 2,\n",
    "    \"oleo\": 3,\n",
    "}"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Initiate tool with filtering options"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Samples: 26\n",
      "Sites before filtering: 1182005\n",
      "Filtered (indels): 0\n",
      "Filtered (bi-allel): 26249\n",
      "Filtered (mincov): 142749\n",
      "Filtered (minmap): 876036\n",
      "Filtered (subsample invariant): 600226\n",
      "Filtered (minor allele frequency): 494278\n",
      "Filtered (combined): 1068892\n",
      "Sites after filtering: 74034\n",
      "Sites containing missing values: 61935 (83.66%)\n",
      "Missing values in SNP matrix: 140810 (7.32%)\n",
      "Imputation: 'sampled'; (0, 1, 2) = 61.2%, 17.0%, 21.8%\n"
     ]
    }
   ],
   "source": [
    "tool = ipa.pca(data=SNPS, minmaf=0.05, imap=IMAP, minmap=MINMAP, impute_method=\"sample\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Run PCA\n",
    "Unlinked SNPs are automatically sampled from each locus. By setting `nreplicates=N` the subsampling procedure is repeated N times to show variation over the subsampled SNPs. The imap dictionary is used in the `.draw()` function to color points, and can be overriden to color points differently from the IMAP used in the tool above."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Subsampling SNPs: 25092/100093\n"
     ]
    },
    {
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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 class=\"toyplot-coordinates-Axis\" id=\"t29f47ab5d303475794cd90e1d4bdd8dc\" transform=\"translate(50.0,250.0)rotate(-90.0)translate(0,-10.0)\"><line style=\"stroke-width:2.25\" x1=\"12.258657355999564\" x2=\"200.0\" y1=\"0\" y2=\"0\"></line><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:12.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-8.67\" y=\"0.0\">-40</text></g><g transform=\"translate(62.035773693691254,-6)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-3.3360000000000003\" y=\"0.0\">0</text></g><g transform=\"translate(124.07154738738251,-6)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-6.672000000000001\" y=\"0.0\">40</text></g><g transform=\"translate(186.10732108107376,-6)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-6.672000000000001\" y=\"0.0\">80</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:14.0px;font-weight:bold;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-74.30499999999999\" y=\"0.0\">PC1 (14.8%) explained</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:hanging;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-Table\" id=\"t88f6f1e5322348398e0b87aceab47fcf\"><g transform=\"translate(310.0,75.0)\"><g style=\"fill:rgb(36.9%,31%,63.5%);fill-opacity:0.75;stroke:rgb(14.9%,14.9%,14.9%);stroke-opacity:1.0;stroke-width:1.5\" transform=\"translate(-5.55, -4.440892098500626e-16)\"><circle r=\"5.0\"></circle></g></g><g transform=\"translate(320.0,75.0)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"0\" y=\"3.066\">virg</text></g><g transform=\"translate(310.0,100.0)\"><g style=\"fill:rgb(33.2%,68.5%,67.8%);fill-opacity:0.75;stroke:rgb(14.9%,14.9%,14.9%);stroke-opacity:1.0;stroke-width:1.5\" transform=\"translate(-5.55, -4.440892098500626e-16)\"><circle r=\"5.0\"></circle></g></g><g transform=\"translate(320.0,100.0)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"0\" y=\"3.066\">mini</text></g><g transform=\"translate(310.0,125.0)\"><g style=\"fill:rgb(74.8%,89.8%,62.7%);fill-opacity:0.75;stroke:rgb(14.9%,14.9%,14.9%);stroke-opacity:1.0;stroke-width:1.5\" transform=\"translate(-5.55, -4.440892098500626e-16)\"><circle r=\"5.0\"></circle></g></g><g transform=\"translate(320.0,125.0)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"0\" y=\"3.066\">gemi</text></g><g transform=\"translate(310.0,150.0)\"><g style=\"fill:rgb(100%,100%,74.9%);fill-opacity:0.75;stroke:rgb(14.9%,14.9%,14.9%);stroke-opacity:1.0;stroke-width:1.5\" transform=\"translate(-5.55, -4.440892098500626e-16)\"><circle r=\"5.0\"></circle></g></g><g transform=\"translate(320.0,150.0)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"0\" y=\"3.066\">bran</text></g><g transform=\"translate(310.0,175.0)\"><g style=\"fill:rgb(99.3%,74.8%,43.5%);fill-opacity:0.75;stroke:rgb(14.9%,14.9%,14.9%);stroke-opacity:1.0;stroke-width:1.5\" transform=\"translate(-5.55, -4.440892098500626e-16)\"><circle r=\"5.0\"></circle></g></g><g transform=\"translate(320.0,175.0)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"0\" y=\"3.066\">fusi</text></g><g transform=\"translate(310.0,200.0)\"><g style=\"fill:rgb(91.6%,36.6%,27.8%);fill-opacity:0.75;stroke:rgb(14.9%,14.9%,14.9%);stroke-opacity:1.0;stroke-width:1.5\" transform=\"translate(-5.55, -4.440892098500626e-16)\"><circle r=\"5.0\"></circle></g></g><g transform=\"translate(320.0,200.0)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"0\" y=\"3.066\">sagr</text></g><g transform=\"translate(310.0,225.0)\"><g style=\"fill:rgb(62%,0.4%,25.9%);fill-opacity:0.75;stroke:rgb(14.9%,14.9%,14.9%);stroke-opacity:1.0;stroke-width:1.5\" transform=\"translate(-5.55, -4.440892098500626e-16)\"><circle r=\"5.0\"></circle></g></g><g transform=\"translate(320.0,225.0)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"0\" y=\"3.066\">oleo</text></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\"] = \"t3f18da96356647a3a8df29ee3e4dc27a\";\n",
       "modules[\"toyplot/root\"] = (function(root_id)\n",
       "    {\n",
       "        return document.querySelector(\"#\" + root_id);\n",
       "    })(modules[\"toyplot/root/id\"]);\n",
       "modules[\"toyplot/canvas/id\"] = \"t0dc89e52ea374f74a50264c448e1bb2d\";\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\"],\"tb76eeef703fb428e86bbc66bf30fba88\",\"data\",\"point\",[\"x\", \"y0\"],[[9.90425274899005, 9.741373160037037, 8.936018277967092, 71.35495502527698, 57.50732806007437, 74.86681786249491, 34.52701545843618, 29.386829854476293, 41.66266373643811, -35.44597565067607, -36.92970379493566, -36.16263274186227, -33.187168905666454, -30.118544651439265, -29.247695510506038, -40.69382653749566, -34.34127620647451, -34.760455492675995, -37.221754843889826, 74.70931394054736, -38.625148849926184, 5.975455924391921, 1.86890833618842, 64.37796844082165, -41.312557102204224, -6.727897728581371, -8.019509970534282, -42.02475283927255], [88.94277659521687, 83.15763554680372, 83.11693196313485, -23.154422018874403, -26.175827328359365, -22.929580612443416, -29.04374695056051, -27.84475592463253, -30.033228233185504, -20.5272226429361, -17.582037075094018, -20.772194492681482, -15.83452103447345, -13.4999195839101, -12.672877296459575, -19.163668192341472, -18.060695085450217, -21.005876812400388, -22.62667373231019, -22.494278137063397, -18.734389121661113, 47.08020184325513, 54.651222174258244, -19.33075769595802, -18.770877725956595, 41.89984870450099, 39.21541049367185, -17.806477624089833]],\"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\"],\"tcb65bb059f86464b9a28561440a86e66\",\"data\",\"point\",[\"x\", \"y0\"],[[8.108448603734598, 8.617701925640139, 7.623182406883075, 71.58400760934725, 56.820424777352166, 74.2085054845683, 36.527769158694696, 30.640886933641596, 41.59771824904981, -35.07600541978134, -37.76405748496534, -35.445421217559655, -31.260505543689558, -30.462997375409344, -28.949084432745607, -39.983505407594045, -33.86576221768931, -34.1335368798461, -36.94152731604749, 73.86618201410148, -38.41599436035406, 6.344163217290311, 1.794041871193625, 63.31990098802954, -41.38505855411401, -7.09089007124854, -8.686042072978603, -41.59254488550349], [88.90475675374316, 82.579872838625, 82.90644449402001, -22.226180728554006, -25.948847739997518, -22.107492305420884, -28.09029554202744, -28.18337701297122, -29.87304752836056, -21.1943158081818, -17.434166192397992, -21.09601220960789, -17.006600123444375, -14.309346568921857, -13.82405754887435, -19.033414746914893, -18.279434401592432, -20.881804470451808, -22.60128011365124, -21.49596551063319, -18.605011774941264, 47.68331699448995, 55.372423426615576, -18.29130320416895, -19.752349913030685, 41.03546114171901, 40.61264587251809, -18.860618077586313]],\"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\"],\"t29b053b10b684abc80310cca476e924f\",\"data\",\"point\",[\"x\", \"y0\"],[[14.572606807173964, 13.675593315069426, 12.913161587523769, 70.10264696929418, 55.57870924467533, 73.38556906511093, 34.554846076054744, 29.62560652044239, 39.25331865847156, -36.56027338495862, -38.70321693526013, -36.844294176409385, -33.32968368329937, -32.05202044938232, -30.66409327711706, -41.93379862958782, -35.40603173332468, -35.372934807214726, -37.23814300718947, 72.74898866318853, -39.51725869544707, 8.249121575597911, 4.862606649761902, 62.86197460805935, -41.85350809223142, -3.7034264559307393, -5.839151551515544, -43.36691486155579], [88.44370906511963, 83.07172737396125, 83.64887426243536, -26.025816507495954, -29.008837527765387, -26.25297717147209, -30.935156479196397, -28.852509978732968, -31.48092806077556, -19.260947688623123, -15.123072080943938, -18.694255963825103, -16.302153553883635, -11.970169238041187, -10.67357937955078, -17.079042110468954, -15.85757322995793, -19.80214327189642, -20.496994190154904, -26.44967209335421, -17.527589124134455, 46.192683345454206, 54.36978778504263, -22.03567584130095, -16.73411464671087, 41.05714430813461, 39.91698989185306, -16.137707893715962]],\"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\"],\"t7be236a3eb734a53b1b66948ec9bec39\",\"data\",\"point\",[\"x\", \"y0\"],[[7.308335636864564, 7.055814857029974, 6.135069132911557, 71.39806613538276, 57.10858159319944, 75.07129113650365, 37.0390014709697, 32.36843382974997, 41.76912316058653, -35.12488883270725, -37.14742795192563, -35.536656135962374, -32.52149266438857, -30.50167909179367, -29.314193964819403, -41.03872133082342, -33.461780302735384, -33.75591721554264, -36.91766210972915, 74.46443077913443, -37.991275293936155, 5.4708573090104515, 1.7839206996665118, 64.73006767385814, -40.125604052655525, -6.861863290139059, -9.008122007939683, -42.39570916976983], [88.95785002216492, 83.23896573882861, 83.46457039913119, -20.624226741579616, -25.22269670227966, -20.76159614271953, -28.600673416878585, -27.453836247144856, -29.688995000935066, -21.231294756323184, -16.982542130161733, -22.050844498430376, -18.382318692985756, -14.137839208532126, -13.91252455218462, -19.121478108278353, -18.842048913089158, -21.038455849530777, -23.570362860848448, -21.241292894058482, -19.054796098932975, 46.447909528854524, 54.366377851567655, -17.18207059300068, -19.418551723409173, 41.1706295947339, 39.67301977232527, -18.800877776302922]],\"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\"],\"t3101a7c16bec453d91df74fafae63bcb\",\"data\",\"point\",[\"x\", \"y0\"],[[9.975367479940425, 9.390055974139981, 9.483751636253158, 71.43537586864699, 56.857092254947965, 75.24498574324188, 34.88257615732163, 30.039075082143558, 40.94520800032876, -35.32395704443256, -37.98926391543842, -36.952930485793296, -32.5490916938235, -30.794806330670927, -30.073247225752823, -41.45538823847933, -32.75404797851448, -34.287870091627255, -36.39609733973079, 74.4634319509234, -39.133910754892995, 5.769822876907803, 2.9108779681218557, 64.47003435644916, -41.559290234367886, -6.016581004804562, -7.965773383072672, -42.61539962796504], [88.76606042876067, 83.31988897178226, 83.7966431017058, -23.06995699117389, -26.224492855444026, -22.72827367362177, -29.692549434086278, -28.053574063287478, -30.31196032044783, -20.05691328150146, -16.68959473334457, -21.170094951248714, -16.217924058719504, -12.726790582492946, -12.597751863174876, -19.02689177407503, -17.918302063466314, -21.476685258807855, -21.273095559644023, -23.11828438582333, -19.155522854297157, 46.80711291192898, 54.42663551577989, -19.617416122594587, -18.81196076393122, 41.393209450378606, 39.97125403868488, -18.54276882783817]],\"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\"],\"t935caa7e44614ff28f615f8ee38eff9f\",\"data\",\"point\",[\"x\", \"y0\"],[[10.463155716083223, 9.961454090074602, 9.538433665650068, 71.90751642617371, 57.139828031935636, 74.77033143461065, 34.92124722836311, 31.096734047987425, 41.00988551052663, -35.835946832162165, -37.9574387095382, -36.911153095373166, -33.15278949441723, -30.422748432889318, -30.649657427748465, -40.72071131361119, -34.65172873033482, -34.808082060081645, -37.506530131562634, 75.01102942241748, -39.619392800943636, 5.952283820443281, 2.7139528031283753, 64.67498313227428, -40.86827652412614, -6.319690977144326, -6.967856307684956, -42.768832492050606], [88.7245507853062, 83.16725482047183, 83.43053110102768, -23.49967534436568, -27.070774260305782, -23.68348186085738, -28.843589644245114, -27.837479813154335, -30.487060780293678, -20.864841671777015, -16.387721208309628, -20.30401963391612, -16.811765179345645, -13.355932555914201, -12.69301029948567, -18.99397215887339, -17.93444641386834, -20.22641062037484, -22.359870921457027, -22.87433375623339, -19.152398942026313, 46.92053482172071, 53.983761675360796, -19.235925043435834, -17.899780331891968, 41.759901380866204, 40.21643955480343, -17.686483699425494]],\"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\"],\"te639e72596f640f28206ddd3cfd67b70\",\"data\",\"point\",[\"x\", \"y0\"],[[14.408170151272198, 14.319736956132136, 13.595845968941655, 69.78534210697904, 54.63209505148762, 72.29821045256777, 34.54755246108144, 29.659663921663412, 39.523772575792094, -35.85877506226111, -38.97841149509813, -37.232068959935525, -34.59552994175018, -31.814394151668523, -30.009203957976318, -41.68894380779025, -34.72256511541406, -35.10596428974777, -36.73844577188824, 72.42779988350198, -40.64541928618454, 8.718379122360082, 5.87421533888954, 62.38578335537712, -42.65900585217948, -3.2978403426155145, -5.280254268977764, -43.54974504255877], [87.14091735854949, 82.43553916390555, 82.36617608442569, -25.644067839720574, -28.81532275591899, -26.75489308520145, -31.851136758212466, -30.308414481112653, -32.0957495160595, -19.16120665275945, -14.613101073767883, -18.33154525952966, -15.451343067566265, -11.650653753315337, -10.6418444960675, -16.9116627612761, -15.823086161337377, -18.8156175563014, -20.51760048538854, -26.720243737496627, -16.939693252501844, 46.83147992361945, 54.33253215090422, -21.882206815553293, -16.65562521217139, 42.35340576342673, 40.290119692961404, -16.165155416534134]],\"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\"],\"t5ac5fe389fbe4cdaa33cfd2de32e07e1\",\"data\",\"point\",[\"x\", \"y0\"],[[13.390697852943571, 12.76880993095078, 11.590826176501938, 71.46993215334679, 55.578524649318396, 74.05745590415671, 34.05882516821371, 28.797986823492888, 40.164591697445786, -37.23099503794359, -38.88611121420555, -37.21590976560106, -33.83394296164072, -31.49132116740065, -30.66503944186509, -42.186915282752295, -33.87034243812147, -35.10111032271948, -38.543615578457356, 73.75834423450446, -39.89883010431379, 8.161645449318883, 5.082836846354194, 64.32440100929551, -41.582597700118036, -3.9874771769762014, -6.39684285915582, -42.313826844572496], [87.78152548601332, 82.2832547599055, 82.53276980547011, -24.925889320011965, -28.153049097186436, -25.262136822834833, -30.690922305263655, -28.76174428141966, -31.44837975873982, -19.29161185324704, -15.690077116656427, -19.223851352891895, -16.32505727494886, -12.529511985604096, -12.208473144465565, -18.24786393488593, -16.124073310189953, -19.522864192767052, -20.554942639664322, -26.04497697542389, -17.70570810536457, 47.89231935065671, 54.23792609500459, -21.81906706097184, -17.326910789953356, 42.39882596556237, 40.619286042356926, -15.88879618247837]],\"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\"],\"t0b2643f171b644c38c4ce8b4551e1ece\",\"data\",\"point\",[\"x\", \"y0\"],[[7.934047263136408, 7.598792227302015, 7.626712190118778, 72.31295422742802, 57.40673869579451, 75.2272573795475, 36.64580973453128, 30.98126573912171, 41.33503947803902, -35.51134178032326, -37.16442594999918, -36.60383584634386, -32.56852420319788, -30.678863388827992, -30.13637687893097, -40.054599779427065, -33.144951963199034, -34.438910421673846, -36.9782923301865, 74.85499346030893, -38.51411937856607, 4.973402029544977, 0.9906736723590488, 65.11664172913329, -39.54275266846597, -7.290215757869937, -8.859461476125526, -41.51765600322841], [88.57207676703798, 82.92587199412228, 83.63792025786259, -21.76892429612965, -24.59541947617638, -21.83280153100822, -28.777808022831444, -27.18186910322994, -28.35761503255525, -21.527013670222505, -16.76299711029707, -21.882695777244177, -18.215898504742157, -13.977071979646182, -12.798159603828585, -19.95041554870504, -18.612559898192888, -21.551816491319812, -23.248946182229727, -21.276428217176093, -19.96171819719361, 48.092225209534384, 54.31656055215788, -19.08398490018183, -20.269330632993857, 42.15413730277572, 39.88425159917599, -17.949569506762376]],\"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\"],\"t4594ef3e4e044b3889f555014d369e9f\",\"data\",\"point\",[\"x\", \"y0\"],[[13.381003409881428, 12.77663441362569, 12.64020176096838, 70.23946208630328, 56.001733081797234, 73.40465395072906, 34.004940235496676, 28.755248778408298, 39.99382233254985, -36.039435462012136, -37.631619093928585, -38.17652276558813, -33.455073341614806, -30.57989706176935, -30.302640145285736, -41.87447939981488, -34.08473738182552, -34.958989104612606, -37.532797653205726, 73.15555846818833, -39.71203234398501, 8.642420353123095, 4.772541373571611, 62.75918799551672, -42.22961538808293, -4.5925158512052215, -6.101117350421484, -43.25593589680755], [87.5820624857748, 81.73643400807876, 82.30882109153384, -25.364765621719418, -28.72723191968343, -25.689973589120598, -28.835272636447705, -28.68542693631748, -31.413382938059176, -18.304054868142376, -15.459568344159642, -19.218407456862458, -15.176120523647189, -12.245741787177458, -11.17856907266845, -17.382797255240856, -17.551289256375686, -19.45209439116363, -20.247736319035898, -26.280453839644828, -17.49688498096565, 46.009663830256976, 54.57757929586288, -21.068566187607587, -17.547482104142833, 41.95567767959392, 39.40816489054465, -16.252583253463555]],\"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\"],\"t1942fb888dbe4d56aa0ea8f0854c45a5\",\"data\",\"point\",[\"x\", \"y0\"],[[10.944608567002042, 10.590596685000177, 10.008320280371947, 71.15902586081789, 56.46310554405827, 74.25350784135314, 35.17095831491632, 30.13517315311276, 40.72551433992281, -35.800759450725806, -37.91516765452947, -36.70814251904287, -33.04538024334882, -30.89172721012514, -30.00112322627475, -41.1630889727376, -34.03032240676332, -34.6723770685742, -37.201486608188716, 73.94600728168163, -39.207338186854955, 6.825755167798872, 3.2654575559235086, 63.90209432888148, -41.31182661685456, -5.588839865651547, -7.312413124840634, -42.54013176632846], [88.3816285747687, 82.79164452164848, 83.1209682560747, -23.630392540962518, -26.994249966311695, -23.800320679470016, -29.53611511897496, -28.316298784200313, -30.519034716941196, -20.141942289371407, -16.27248770651329, -20.274392159623787, -16.572370201375684, -13.040297724355549, -12.320084725675997, -18.491120659106002, -17.50035087335203, -20.3773768915014, -21.749750300438432, -23.79959295469074, -18.433371245201897, 46.995744775977094, 54.46348065225544, -19.954697346477356, -18.318698384419196, 41.71782412916921, 39.98075818488955, -17.40910382581971]],\"toyplot\");\n",
       "(function(axis, axis_id, projection)\n",
       "        {\n",
       "            axis.show_coordinates(axis_id, projection);\n",
       "        })(modules[\"toyplot.coordinates.Axis\"],\"t7bfff0b5da2f4d20a43881ea2b26d448\",[{\"domain\": {\"bounds\": {\"max\": Infinity, \"min\": -Infinity}, \"max\": 80.0, \"min\": -43.54974504255877}, \"range\": {\"bounds\": {\"max\": Infinity, \"min\": -Infinity}, \"max\": 220.0, \"min\": 0.0}, \"scale\": \"linear\"}]);\n",
       "(function(axis, axis_id, projection)\n",
       "        {\n",
       "            axis.show_coordinates(axis_id, projection);\n",
       "        })(modules[\"toyplot.coordinates.Axis\"],\"t29f47ab5d303475794cd90e1d4bdd8dc\",[{\"domain\": {\"bounds\": {\"max\": Infinity, \"min\": -Infinity}, \"max\": 88.95785002216492, \"min\": -40.0}, \"range\": {\"bounds\": {\"max\": Infinity, \"min\": -Infinity}, \"max\": 200.0, \"min\": 0.0}, \"scale\": \"linear\"}]);\n",
       "})();</script></div></div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "tool.run(nreplicates=10)\n",
    "tool.draw(imap=IMAP);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
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214.9639069350219)\"><title>TXWV2</title><circle r=\"5.0\"></circle></g></g></g></g><g class=\"toyplot-coordinates-Axis\" id=\"t0d403b2cd957452d8810d665487ffc1a\" transform=\"translate(50.0,250.0)translate(0,10.0)\"><line style=\"stroke-width:2.25\" x1=\"0\" x2=\"192.3026724901453\" y1=\"0\" y2=\"0\"></line><g><g transform=\"translate(5.746260409256206,6)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-8.67\" y=\"10.265999999999998\">-40</text></g><g transform=\"translate(70.49750693950413,6)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-3.3360000000000003\" y=\"10.265999999999998\">0</text></g><g transform=\"translate(135.24875346975207,6)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-6.672000000000001\" y=\"10.265999999999998\">40</text></g><g transform=\"translate(200.0,6)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-6.672000000000001\" y=\"10.265999999999998\">80</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:14.0px;font-weight:bold;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-74.30499999999999\" y=\"11.977\">PC0 (16.8%) explained</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 class=\"toyplot-coordinates-Axis\" id=\"tdae5bf5c33314481992b43f43b6793b1\" transform=\"translate(50.0,250.0)rotate(-90.0)translate(0,-10.0)\"><line style=\"stroke-width:2.25\" x1=\"12.258657355999564\" x2=\"200.0\" y1=\"0\" y2=\"0\"></line><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:12.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-8.67\" y=\"0.0\">-40</text></g><g transform=\"translate(62.035773693691254,-6)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-3.3360000000000003\" y=\"0.0\">0</text></g><g transform=\"translate(124.07154738738251,-6)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-6.672000000000001\" y=\"0.0\">40</text></g><g transform=\"translate(186.10732108107376,-6)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-6.672000000000001\" y=\"0.0\">80</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:14.0px;font-weight:bold;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-74.30499999999999\" y=\"0.0\">PC1 (14.8%) explained</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:hanging;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=\"t80bea47f042c4a5da4c32835d347171e\"><clipPath id=\"tdf0d44628407462295bc358f9ef68770\"><rect height=\"220.0\" width=\"220.0\" x=\"340.0\" y=\"40.0\"></rect></clipPath><g clip-path=\"url(#tdf0d44628407462295bc358f9ef68770)\"><g class=\"toyplot-mark-Point\" id=\"taefdd3db57154609981629c66e9821f2\"><g class=\"toyplot-Series\"><g class=\"toyplot-Datum\" style=\"fill:rgb(100%,100%,74.9%);fill-opacity:0.09;opacity:1.0;stroke:none\" transform=\"translate(436.5303247256976, 199.3723466519079)\"><circle r=\"5.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(100%,100%,74.9%);fill-opacity:0.09;opacity:1.0;stroke:none\" transform=\"translate(436.2666583152216, 196.73058715458933)\"><circle r=\"5.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(100%,100%,74.9%);fill-opacity:0.09;opacity:1.0;stroke:none\" transform=\"translate(434.9629650023904, 198.6367550713185)\"><circle r=\"5.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(62%,0.4%,25.9%);fill-opacity:0.09;opacity:1.0;stroke:none\" transform=\"translate(536.0055640394157, 158.93878020331115)\"><circle r=\"5.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(62%,0.4%,25.9%);fill-opacity:0.09;opacity:1.0;stroke:none\" transform=\"translate(513.5892863523471, 174.60445830375204)\"><circle r=\"5.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(62%,0.4%,25.9%);fill-opacity:0.09;opacity:1.0;stroke:none\" transform=\"translate(541.6905014482436, 162.89551952990027)\"><circle r=\"5.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(91.6%,36.6%,27.8%);fill-opacity:0.09;opacity:1.0;stroke:none\" transform=\"translate(476.3891891870762, 184.33558075338277)\"><circle r=\"5.0\"></circle></g><g 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r=\"5.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(33.2%,68.5%,67.8%);fill-opacity:0.09;opacity:1.0;stroke:none\" transform=\"translate(366.7747430532094, 241.64673506232458)\"><circle r=\"5.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(33.2%,68.5%,67.8%);fill-opacity:0.09;opacity:1.0;stroke:none\" transform=\"translate(371.74217419306353, 231.61322853424645)\"><circle r=\"5.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(33.2%,68.5%,67.8%);fill-opacity:0.09;opacity:1.0;stroke:none\" transform=\"translate(373.1518883784441, 246.40306180196666)\"><circle r=\"5.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(36.9%,31%,63.5%);fill-opacity:0.09;opacity:1.0;stroke:none\" transform=\"translate(354.62310707979094, 90.72256161083602)\"><circle r=\"5.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(33.2%,68.5%,67.8%);fill-opacity:0.09;opacity:1.0;stroke:none\" transform=\"translate(364.90649589428494, 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class=\"toyplot-Datum\" style=\"fill:rgb(62%,0.4%,25.9%);fill-opacity:0.09;opacity:1.0;stroke:none\" transform=\"translate(522.9985699181739, 160.76328375642493)\"><circle r=\"5.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(36.9%,31%,63.5%);fill-opacity:0.09;opacity:1.0;stroke:none\" transform=\"translate(353.5041537118496, 75.53859484383563)\"><circle r=\"5.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(99.3%,74.8%,43.5%);fill-opacity:0.09;opacity:1.0;stroke:none\" transform=\"translate(409.01890766144663, 134.50396386333423)\"><circle r=\"5.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(99.3%,74.8%,43.5%);fill-opacity:0.09;opacity:1.0;stroke:none\" transform=\"translate(406.4367056485156, 134.1998427039322)\"><circle r=\"5.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(36.9%,31%,63.5%);fill-opacity:0.09;opacity:1.0;stroke:none\" transform=\"translate(353.16827874696315, 66.97109471551863)\"><circle 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style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:14.0px;font-weight:bold;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-74.30499999999999\" y=\"11.977\">PC0 (16.8%) explained</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 class=\"toyplot-coordinates-Axis\" id=\"tc1a40ba8cb784357b912adc8e08bf4b4\" transform=\"translate(350.0,250.0)rotate(-90.0)translate(0,-10.0)\"><line style=\"stroke-width:2.25\" x1=\"0\" x2=\"185.30102047964817\" y1=\"0\" y2=\"0\"></line><g><g transform=\"translate(15.480462768143873,-6)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-8.67\" y=\"0.0\">-30</text></g><g transform=\"translate(76.98697517876258,-6)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-3.3360000000000003\" y=\"0.0\">0</text></g><g transform=\"translate(138.4934875893813,-6)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-6.672000000000001\" y=\"0.0\">30</text></g><g transform=\"translate(200.0,-6)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-6.672000000000001\" y=\"0.0\">60</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:14.0px;font-weight:bold;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-70.41300000000001\" y=\"0.0\">PC2 (6.6%) explained</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:hanging;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=\"tcf13704b3c974a78b94a1ac2798fd661\"><clipPath id=\"tfee4109a946c4b19be10f14d8af7f536\"><rect height=\"220.0\" width=\"220.0\" x=\"640.0\" y=\"40.0\"></rect></clipPath><g clip-path=\"url(#tfee4109a946c4b19be10f14d8af7f536)\"><g class=\"toyplot-mark-Point\" 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transform=\"translate(667.4828722382997, 172.03629647386265)\"><circle r=\"5.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(62%,0.4%,25.9%);fill-opacity:0.09;opacity:1.0;stroke:none\" transform=\"translate(672.1933389994015, 162.515304309832)\"><circle r=\"5.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(91.6%,36.6%,27.8%);fill-opacity:0.09;opacity:1.0;stroke:none\" transform=\"translate(667.3153125019273, 183.49529084578808)\"><circle r=\"5.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(91.6%,36.6%,27.8%);fill-opacity:0.09;opacity:1.0;stroke:none\" transform=\"translate(667.5477073504836, 184.5113545257356)\"><circle r=\"5.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(91.6%,36.6%,27.8%);fill-opacity:0.09;opacity:1.0;stroke:none\" transform=\"translate(663.3169358212238, 177.16266982983274)\"><circle r=\"5.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(74.8%,89.8%,62.7%);fill-opacity:0.09;opacity:1.0;stroke:none\" transform=\"translate(683.6481185567666, 234.58377711622097)\"><circle r=\"5.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(36.9%,31%,63.5%);fill-opacity:0.09;opacity:1.0;stroke:none\" transform=\"translate(688.0596166136803, 107.85578438521549)\"><circle r=\"5.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(74.8%,89.8%,62.7%);fill-opacity:0.09;opacity:1.0;stroke:none\" transform=\"translate(682.2300543000146, 237.75990660046597)\"><circle r=\"5.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(33.2%,68.5%,67.8%);fill-opacity:0.09;opacity:1.0;stroke:none\" transform=\"translate(688.4992142348623, 239.37865627918683)\"><circle r=\"5.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(33.2%,68.5%,67.8%);fill-opacity:0.09;opacity:1.0;stroke:none\" transform=\"translate(693.0439220381733, 233.2093062414431)\"><circle r=\"5.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(33.2%,68.5%,67.8%);fill-opacity:0.09;opacity:1.0;stroke:none\" transform=\"translate(694.6989941634074, 247.27842520955693)\"><circle r=\"5.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(36.9%,31%,63.5%);fill-opacity:0.09;opacity:1.0;stroke:none\" transform=\"translate(685.0768917764553, 89.47531951972051)\"><circle r=\"5.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(33.2%,68.5%,67.8%);fill-opacity:0.09;opacity:1.0;stroke:none\" transform=\"translate(684.8155784851654, 231.30112154211636)\"><circle r=\"5.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(74.8%,89.8%,62.7%);fill-opacity:0.09;opacity:1.0;stroke:none\" transform=\"translate(681.8676305557276, 216.11978333707606)\"><circle r=\"5.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(74.8%,89.8%,62.7%);fill-opacity:0.09;opacity:1.0;stroke:none\" transform=\"translate(680.6336739912601, 236.393283171098)\"><circle r=\"5.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(62%,0.4%,25.9%);fill-opacity:0.09;opacity:1.0;stroke:none\" transform=\"translate(671.2775665195986, 164.08227149791603)\"><circle r=\"5.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(36.9%,31%,63.5%);fill-opacity:0.09;opacity:1.0;stroke:none\" transform=\"translate(684.8999537680979, 96.1874787420896)\"><circle r=\"5.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(99.3%,74.8%,43.5%);fill-opacity:0.09;opacity:1.0;stroke:none\" transform=\"translate(783.3919010211071, 154.6358515650303)\"><circle r=\"5.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(99.3%,74.8%,43.5%);fill-opacity:0.09;opacity:1.0;stroke:none\" transform=\"translate(796.6798326423823, 154.7270870337701)\"><circle r=\"5.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(62%,0.4%,25.9%);fill-opacity:0.09;opacity:1.0;stroke:none\" transform=\"translate(679.3606535920668, 165.3829688889769)\"><circle r=\"5.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(36.9%,31%,63.5%);fill-opacity:0.09;opacity:1.0;stroke:none\" transform=\"translate(684.8214829760237, 73.0842764318033)\"><circle r=\"5.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(99.3%,74.8%,43.5%);fill-opacity:0.09;opacity:1.0;stroke:none\" transform=\"translate(777.1045968361097, 138.651056232532)\"><circle r=\"5.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(99.3%,74.8%,43.5%);fill-opacity:0.09;opacity:1.0;stroke:none\" transform=\"translate(773.1536736645287, 135.79410958699444)\"><circle r=\"5.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(36.9%,31%,63.5%);fill-opacity:0.09;opacity:1.0;stroke:none\" transform=\"translate(686.8297342774478, 65.60736771582643)\"><circle r=\"5.0\"></circle></g></g></g><g class=\"toyplot-mark-Point\" id=\"t58497e4b5f704d9195ea257ea34517f6\"><g class=\"toyplot-Series\"><g class=\"toyplot-Datum\" style=\"fill:rgb(100%,100%,74.9%);fill-opacity:0.75;opacity:1.0;stroke:rgb(14.9%,14.9%,14.9%);stroke-opacity:1.0;stroke-width:1.5\" transform=\"translate(849.1063414172969, 199.25180352581418)\"><title>BJSB3</title><circle r=\"5.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(100%,100%,74.9%);fill-opacity:0.75;opacity:1.0;stroke:rgb(14.9%,14.9%,14.9%);stroke-opacity:1.0;stroke-width:1.5\" transform=\"translate(840.4368667755292, 195.92999877901647)\"><title>BJSL25</title><circle r=\"5.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(100%,100%,74.9%);fill-opacity:0.75;opacity:1.0;stroke:rgb(14.9%,14.9%,14.9%);stroke-opacity:1.0;stroke-width:1.5\" transform=\"translate(840.9476130920499, 198.6043305844491)\"><title>BJVL19</title><circle r=\"5.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(62%,0.4%,25.9%);fill-opacity:0.75;opacity:1.0;stroke:rgb(14.9%,14.9%,14.9%);stroke-opacity:1.0;stroke-width:1.5\" transform=\"translate(675.3875315945852, 160.05141290333876)\"><title>BZBB1</title><circle r=\"5.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(62%,0.4%,25.9%);fill-opacity:0.75;opacity:1.0;stroke:rgb(14.9%,14.9%,14.9%);stroke-opacity:1.0;stroke-width:1.5\" transform=\"translate(670.1705441451651, 173.42918776173101)\"><title>CRL0001</title><circle r=\"5.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(62%,0.4%,25.9%);fill-opacity:0.75;opacity:1.0;stroke:rgb(14.9%,14.9%,14.9%);stroke-opacity:1.0;stroke-width:1.5\" transform=\"translate(675.1239910059693, 162.8898968365787)\"><title>CRL0030</title><circle r=\"5.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(91.6%,36.6%,27.8%);fill-opacity:0.75;opacity:1.0;stroke:rgb(14.9%,14.9%,14.9%);stroke-opacity:1.0;stroke-width:1.5\" transform=\"translate(666.2283798609027, 184.84490799965073)\"><title>CUCA4</title><circle r=\"5.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(91.6%,36.6%,27.8%);fill-opacity:0.75;opacity:1.0;stroke:rgb(14.9%,14.9%,14.9%);stroke-opacity:1.0;stroke-width:1.5\" transform=\"translate(668.1201861132014, 185.48188843490885)\"><title>CUSV6</title><circle r=\"5.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(91.6%,36.6%,27.8%);fill-opacity:0.75;opacity:1.0;stroke:rgb(14.9%,14.9%,14.9%);stroke-opacity:1.0;stroke-width:1.5\" transform=\"translate(664.7039754174394, 180.1478583512334)\"><title>CUVN10</title><circle r=\"5.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(74.8%,89.8%,62.7%);fill-opacity:0.75;opacity:1.0;stroke:rgb(14.9%,14.9%,14.9%);stroke-opacity:1.0;stroke-width:1.5\" transform=\"translate(680.7977493533203, 233.1189687894326)\"><title>FLAB109</title><circle r=\"5.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(36.9%,31%,63.5%);fill-opacity:0.75;opacity:1.0;stroke:rgb(14.9%,14.9%,14.9%);stroke-opacity:1.0;stroke-width:1.5\" transform=\"translate(686.7988645738254, 108.41643548620354)\"><title>FLBA140</title><circle r=\"5.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(74.8%,89.8%,62.7%);fill-opacity:0.75;opacity:1.0;stroke:rgb(14.9%,14.9%,14.9%);stroke-opacity:1.0;stroke-width:1.5\" transform=\"translate(680.5923335989021, 235.88559672697141)\"><title>FLCK18</title><circle r=\"5.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(33.2%,68.5%,67.8%);fill-opacity:0.75;opacity:1.0;stroke:rgb(14.9%,14.9%,14.9%);stroke-opacity:1.0;stroke-width:1.5\" transform=\"translate(686.3337785091758, 241.60245886268248)\"><title>FLCK216</title><circle r=\"5.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(33.2%,68.5%,67.8%);fill-opacity:0.75;opacity:1.0;stroke:rgb(14.9%,14.9%,14.9%);stroke-opacity:1.0;stroke-width:1.5\" transform=\"translate(691.8116497305293, 232.8731454528052)\"><title>FLMO62</title><circle r=\"5.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(33.2%,68.5%,67.8%);fill-opacity:0.75;opacity:1.0;stroke:rgb(14.9%,14.9%,14.9%);stroke-opacity:1.0;stroke-width:1.5\" transform=\"translate(692.9286239954628, 246.72734737676907)\"><title>FLSA185</title><circle r=\"5.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(36.9%,31%,63.5%);fill-opacity:0.75;opacity:1.0;stroke:rgb(14.9%,14.9%,14.9%);stroke-opacity:1.0;stroke-width:1.5\" transform=\"translate(683.3579992799154, 90.40721339952198)\"><title>FLSF33</title><circle r=\"5.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(33.2%,68.5%,67.8%);fill-opacity:0.75;opacity:1.0;stroke:rgb(14.9%,14.9%,14.9%);stroke-opacity:1.0;stroke-width:1.5\" transform=\"translate(684.8945785352048, 231.61927907633194)\"><title>FLSF47</title><circle r=\"5.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(74.8%,89.8%,62.7%);fill-opacity:0.75;opacity:1.0;stroke:rgb(14.9%,14.9%,14.9%);stroke-opacity:1.0;stroke-width:1.5\" transform=\"translate(680.4326151608853, 216.23089248149682)\"><title>FLSF54</title><circle r=\"5.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(74.8%,89.8%,62.7%);fill-opacity:0.75;opacity:1.0;stroke:rgb(14.9%,14.9%,14.9%);stroke-opacity:1.0;stroke-width:1.5\" transform=\"translate(678.304209005384, 232.25163768234157)\"><title>FLWO6</title><circle r=\"5.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(62%,0.4%,25.9%);fill-opacity:0.75;opacity:1.0;stroke:rgb(14.9%,14.9%,14.9%);stroke-opacity:1.0;stroke-width:1.5\" transform=\"translate(675.1251196302122, 163.49924566806422)\"><title>HNDA09</title><circle r=\"5.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(36.9%,31%,63.5%);fill-opacity:0.75;opacity:1.0;stroke:rgb(14.9%,14.9%,14.9%);stroke-opacity:1.0;stroke-width:1.5\" transform=\"translate(683.4475625192127, 97.67224486497237)\"><title>LALC2</title><circle r=\"5.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(99.3%,74.8%,43.5%);fill-opacity:0.75;opacity:1.0;stroke:rgb(14.9%,14.9%,14.9%);stroke-opacity:1.0;stroke-width:1.5\" transform=\"translate(784.921208380916, 148.22938643278653)\"><title>MXED8</title><circle r=\"5.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(99.3%,74.8%,43.5%);fill-opacity:0.75;opacity:1.0;stroke:rgb(14.9%,14.9%,14.9%);stroke-opacity:1.0;stroke-width:1.5\" transform=\"translate(796.5028777015425, 150.95459753371256)\"><title>MXGT4</title><circle r=\"5.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(62%,0.4%,25.9%);fill-opacity:0.75;opacity:1.0;stroke:rgb(14.9%,14.9%,14.9%);stroke-opacity:1.0;stroke-width:1.5\" transform=\"translate(681.088146475887, 162.87734853130723)\"><title>MXSA3017</title><circle r=\"5.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(36.9%,31%,63.5%);fill-opacity:0.75;opacity:1.0;stroke:rgb(14.9%,14.9%,14.9%);stroke-opacity:1.0;stroke-width:1.5\" transform=\"translate(683.6254080102209, 74.60711776179603)\"><title>SCCU3</title><circle r=\"5.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(99.3%,74.8%,43.5%);fill-opacity:0.75;opacity:1.0;stroke:rgb(14.9%,14.9%,14.9%);stroke-opacity:1.0;stroke-width:1.5\" transform=\"translate(776.7357111104501, 135.06534329098363)\"><title>TXGR3</title><circle r=\"5.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(99.3%,74.8%,43.5%);fill-opacity:0.75;opacity:1.0;stroke:rgb(14.9%,14.9%,14.9%);stroke-opacity:1.0;stroke-width:1.5\" transform=\"translate(774.0417053651913, 134.3796506105805)\"><title>TXMD3</title><circle r=\"5.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(36.9%,31%,63.5%);fill-opacity:0.75;opacity:1.0;stroke:rgb(14.9%,14.9%,14.9%);stroke-opacity:1.0;stroke-width:1.5\" transform=\"translate(685.0360930649781, 67.31549978916664)\"><title>TXWV2</title><circle r=\"5.0\"></circle></g></g></g></g><g class=\"toyplot-coordinates-Axis\" id=\"t639c8e70020d4211817398ff1e0ae313\" transform=\"translate(650.0,250.0)translate(0,10.0)\"><line style=\"stroke-width:2.25\" x1=\"12.258657355999564\" x2=\"200.0\" y1=\"0\" y2=\"0\"></line><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:12.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-8.67\" y=\"10.265999999999998\">-40</text></g><g transform=\"translate(62.035773693691254,6)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-3.3360000000000003\" y=\"10.265999999999998\">0</text></g><g transform=\"translate(124.07154738738251,6)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-6.672000000000001\" y=\"10.265999999999998\">40</text></g><g transform=\"translate(186.10732108107376,6)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-6.672000000000001\" y=\"10.265999999999998\">80</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:14.0px;font-weight:bold;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-74.30499999999999\" y=\"11.977\">PC1 (14.8%) explained</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 class=\"toyplot-coordinates-Axis\" id=\"td7eb81187dde4b98ad3a1bfc99e8990b\" transform=\"translate(650.0,250.0)rotate(-90.0)translate(0,-10.0)\"><line style=\"stroke-width:2.25\" x1=\"0\" x2=\"185.30102047964817\" y1=\"0\" y2=\"0\"></line><g><g transform=\"translate(15.480462768143873,-6)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-8.67\" y=\"0.0\">-30</text></g><g transform=\"translate(76.98697517876258,-6)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-3.3360000000000003\" y=\"0.0\">0</text></g><g transform=\"translate(138.4934875893813,-6)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-6.672000000000001\" y=\"0.0\">30</text></g><g transform=\"translate(200.0,-6)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-6.672000000000001\" y=\"0.0\">60</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:14.0px;font-weight:bold;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-70.41300000000001\" y=\"0.0\">PC2 (6.6%) explained</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:hanging;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=\"t31c7d94e3bc34fa29fd75c0bd1868d9d\"><clipPath id=\"tacaca4cfea284b97ba8f1a03135e2c3d\"><rect height=\"220.0\" width=\"95.0\" x=\"865.0\" y=\"40.0\"></rect></clipPath><g clip-path=\"url(#tacaca4cfea284b97ba8f1a03135e2c3d)\"><g class=\"toyplot-mark-Point\" id=\"t61cdd923b09c4103adc7bdf55f560034\"><g class=\"toyplot-Series\"><g class=\"toyplot-Datum\" style=\"fill:rgb(100%,100%,74.9%);fill-opacity:0.75;opacity:1.0;stroke:rgb(14.9%,14.9%,14.9%);stroke-opacity:1.0;stroke-width:1.5\" transform=\"translate(908.9518095560009, 242.2509225092251)\"><circle r=\"5.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(99.3%,74.8%,43.5%);fill-opacity:0.75;opacity:1.0;stroke:rgb(14.9%,14.9%,14.9%);stroke-opacity:1.0;stroke-width:1.5\" transform=\"translate(908.9518095560009, 211.50061500615007)\"><circle r=\"5.0\"></circle></g><g class=\"toyplot-Datum\" 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       "{\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\"] = \"t5db1355fc05143eaa1674bca9eb71ed6\";\n",
       "modules[\"toyplot/root\"] = (function(root_id)\n",
       "    {\n",
       "        return document.querySelector(\"#\" + root_id);\n",
       "    })(modules[\"toyplot/root/id\"]);\n",
       "modules[\"toyplot/canvas/id\"] = \"t6ac9e47c2d484d1d9ae644409d013f23\";\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\"],\"t06bbc1e400ab43fdb8f88d077a687d98\",\"data\",\"point\",[\"x\", \"y0\"],[[9.90425274899005, 9.741373160037037, 8.936018277967092, 71.35495502527698, 57.50732806007437, 74.86681786249491, 34.52701545843618, 29.386829854476293, 41.66266373643811, -35.44597565067607, -36.92970379493566, -36.16263274186227, -33.187168905666454, -30.118544651439265, -29.247695510506038, -40.69382653749566, -34.34127620647451, -34.760455492675995, -37.221754843889826, 74.70931394054736, -38.625148849926184, 5.975455924391921, 1.86890833618842, 64.37796844082165, -41.312557102204224, -6.727897728581371, -8.019509970534282, -42.02475283927255], [88.94277659521687, 83.15763554680372, 83.11693196313485, -23.154422018874403, -26.175827328359365, -22.929580612443416, -29.04374695056051, -27.84475592463253, -30.033228233185504, -20.5272226429361, -17.582037075094018, -20.772194492681482, -15.83452103447345, -13.4999195839101, -12.672877296459575, -19.163668192341472, -18.060695085450217, -21.005876812400388, -22.62667373231019, -22.494278137063397, -18.734389121661113, 47.08020184325513, 54.651222174258244, -19.33075769595802, -18.770877725956595, 41.89984870450099, 39.21541049367185, -17.806477624089833]],\"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\"],\"tffcc5cece66c4ae2996aa5919d238831\",\"data\",\"point\",[\"x\", \"y0\"],[[8.108448603734598, 8.617701925640139, 7.623182406883075, 71.58400760934725, 56.820424777352166, 74.2085054845683, 36.527769158694696, 30.640886933641596, 41.59771824904981, -35.07600541978134, -37.76405748496534, -35.445421217559655, -31.260505543689558, -30.462997375409344, -28.949084432745607, -39.983505407594045, -33.86576221768931, -34.1335368798461, -36.94152731604749, 73.86618201410148, -38.41599436035406, 6.344163217290311, 1.794041871193625, 63.31990098802954, -41.38505855411401, -7.09089007124854, -8.686042072978603, -41.59254488550349], [88.90475675374316, 82.579872838625, 82.90644449402001, -22.226180728554006, -25.948847739997518, -22.107492305420884, -28.09029554202744, -28.18337701297122, -29.87304752836056, -21.1943158081818, -17.434166192397992, -21.09601220960789, -17.006600123444375, -14.309346568921857, -13.82405754887435, -19.033414746914893, -18.279434401592432, -20.881804470451808, -22.60128011365124, -21.49596551063319, -18.605011774941264, 47.68331699448995, 55.372423426615576, -18.29130320416895, -19.752349913030685, 41.03546114171901, 40.61264587251809, -18.860618077586313]],\"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\"],\"t5778884db1bb4446b9c34730146e5619\",\"data\",\"point\",[\"x\", \"y0\"],[[14.572606807173964, 13.675593315069426, 12.913161587523769, 70.10264696929418, 55.57870924467533, 73.38556906511093, 34.554846076054744, 29.62560652044239, 39.25331865847156, -36.56027338495862, -38.70321693526013, -36.844294176409385, -33.32968368329937, -32.05202044938232, -30.66409327711706, -41.93379862958782, -35.40603173332468, -35.372934807214726, -37.23814300718947, 72.74898866318853, -39.51725869544707, 8.249121575597911, 4.862606649761902, 62.86197460805935, -41.85350809223142, -3.7034264559307393, -5.839151551515544, -43.36691486155579], [88.44370906511963, 83.07172737396125, 83.64887426243536, -26.025816507495954, -29.008837527765387, -26.25297717147209, -30.935156479196397, -28.852509978732968, -31.48092806077556, -19.260947688623123, -15.123072080943938, -18.694255963825103, -16.302153553883635, -11.970169238041187, -10.67357937955078, -17.079042110468954, -15.85757322995793, -19.80214327189642, -20.496994190154904, -26.44967209335421, -17.527589124134455, 46.192683345454206, 54.36978778504263, -22.03567584130095, -16.73411464671087, 41.05714430813461, 39.91698989185306, -16.137707893715962]],\"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\"],\"tb62059420eb545bf9849ed7c2f27184e\",\"data\",\"point\",[\"x\", \"y0\"],[[7.308335636864564, 7.055814857029974, 6.135069132911557, 71.39806613538276, 57.10858159319944, 75.07129113650365, 37.0390014709697, 32.36843382974997, 41.76912316058653, -35.12488883270725, -37.14742795192563, -35.536656135962374, -32.52149266438857, -30.50167909179367, -29.314193964819403, -41.03872133082342, -33.461780302735384, -33.75591721554264, -36.91766210972915, 74.46443077913443, -37.991275293936155, 5.4708573090104515, 1.7839206996665118, 64.73006767385814, -40.125604052655525, -6.861863290139059, -9.008122007939683, -42.39570916976983], [88.95785002216492, 83.23896573882861, 83.46457039913119, -20.624226741579616, -25.22269670227966, -20.76159614271953, -28.600673416878585, -27.453836247144856, -29.688995000935066, -21.231294756323184, -16.982542130161733, -22.050844498430376, -18.382318692985756, -14.137839208532126, -13.91252455218462, -19.121478108278353, -18.842048913089158, -21.038455849530777, -23.570362860848448, -21.241292894058482, -19.054796098932975, 46.447909528854524, 54.366377851567655, -17.18207059300068, -19.418551723409173, 41.1706295947339, 39.67301977232527, -18.800877776302922]],\"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\"],\"t7a9654ac115141cdb95248e83d830daf\",\"data\",\"point\",[\"x\", \"y0\"],[[9.975367479940425, 9.390055974139981, 9.483751636253158, 71.43537586864699, 56.857092254947965, 75.24498574324188, 34.88257615732163, 30.039075082143558, 40.94520800032876, -35.32395704443256, -37.98926391543842, -36.952930485793296, -32.5490916938235, -30.794806330670927, -30.073247225752823, -41.45538823847933, -32.75404797851448, -34.287870091627255, -36.39609733973079, 74.4634319509234, -39.133910754892995, 5.769822876907803, 2.9108779681218557, 64.47003435644916, -41.559290234367886, -6.016581004804562, -7.965773383072672, -42.61539962796504], [88.76606042876067, 83.31988897178226, 83.7966431017058, -23.06995699117389, -26.224492855444026, -22.72827367362177, -29.692549434086278, -28.053574063287478, -30.31196032044783, -20.05691328150146, -16.68959473334457, -21.170094951248714, -16.217924058719504, -12.726790582492946, -12.597751863174876, -19.02689177407503, -17.918302063466314, -21.476685258807855, -21.273095559644023, -23.11828438582333, -19.155522854297157, 46.80711291192898, 54.42663551577989, -19.617416122594587, -18.81196076393122, 41.393209450378606, 39.97125403868488, -18.54276882783817]],\"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\"],\"t2d6450ada76b41599f8c10fc9f288fd2\",\"data\",\"point\",[\"x\", \"y0\"],[[10.463155716083223, 9.961454090074602, 9.538433665650068, 71.90751642617371, 57.139828031935636, 74.77033143461065, 34.92124722836311, 31.096734047987425, 41.00988551052663, -35.835946832162165, -37.9574387095382, -36.911153095373166, -33.15278949441723, -30.422748432889318, -30.649657427748465, -40.72071131361119, -34.65172873033482, -34.808082060081645, -37.506530131562634, 75.01102942241748, -39.619392800943636, 5.952283820443281, 2.7139528031283753, 64.67498313227428, -40.86827652412614, -6.319690977144326, -6.967856307684956, -42.768832492050606], [88.7245507853062, 83.16725482047183, 83.43053110102768, -23.49967534436568, -27.070774260305782, -23.68348186085738, -28.843589644245114, -27.837479813154335, -30.487060780293678, -20.864841671777015, -16.387721208309628, -20.30401963391612, -16.811765179345645, -13.355932555914201, -12.69301029948567, -18.99397215887339, -17.93444641386834, -20.22641062037484, -22.359870921457027, -22.87433375623339, -19.152398942026313, 46.92053482172071, 53.983761675360796, -19.235925043435834, -17.899780331891968, 41.759901380866204, 40.21643955480343, -17.686483699425494]],\"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\"],\"td7c8ed9dca6442e6b0041e3af6205896\",\"data\",\"point\",[\"x\", \"y0\"],[[14.408170151272198, 14.319736956132136, 13.595845968941655, 69.78534210697904, 54.63209505148762, 72.29821045256777, 34.54755246108144, 29.659663921663412, 39.523772575792094, -35.85877506226111, -38.97841149509813, -37.232068959935525, -34.59552994175018, -31.814394151668523, -30.009203957976318, -41.68894380779025, -34.72256511541406, -35.10596428974777, -36.73844577188824, 72.42779988350198, -40.64541928618454, 8.718379122360082, 5.87421533888954, 62.38578335537712, -42.65900585217948, -3.2978403426155145, -5.280254268977764, -43.54974504255877], [87.14091735854949, 82.43553916390555, 82.36617608442569, -25.644067839720574, -28.81532275591899, -26.75489308520145, -31.851136758212466, -30.308414481112653, -32.0957495160595, -19.16120665275945, -14.613101073767883, -18.33154525952966, -15.451343067566265, -11.650653753315337, -10.6418444960675, -16.9116627612761, -15.823086161337377, -18.8156175563014, -20.51760048538854, -26.720243737496627, -16.939693252501844, 46.83147992361945, 54.33253215090422, -21.882206815553293, -16.65562521217139, 42.35340576342673, 40.290119692961404, -16.165155416534134]],\"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\"],\"tae79a9e5fcb14dcba836191c87d8dcd3\",\"data\",\"point\",[\"x\", \"y0\"],[[13.390697852943571, 12.76880993095078, 11.590826176501938, 71.46993215334679, 55.578524649318396, 74.05745590415671, 34.05882516821371, 28.797986823492888, 40.164591697445786, -37.23099503794359, -38.88611121420555, -37.21590976560106, -33.83394296164072, -31.49132116740065, -30.66503944186509, -42.186915282752295, -33.87034243812147, -35.10111032271948, -38.543615578457356, 73.75834423450446, -39.89883010431379, 8.161645449318883, 5.082836846354194, 64.32440100929551, -41.582597700118036, -3.9874771769762014, -6.39684285915582, -42.313826844572496], [87.78152548601332, 82.2832547599055, 82.53276980547011, -24.925889320011965, -28.153049097186436, -25.262136822834833, -30.690922305263655, -28.76174428141966, -31.44837975873982, -19.29161185324704, -15.690077116656427, -19.223851352891895, -16.32505727494886, -12.529511985604096, -12.208473144465565, -18.24786393488593, -16.124073310189953, -19.522864192767052, -20.554942639664322, -26.04497697542389, -17.70570810536457, 47.89231935065671, 54.23792609500459, -21.81906706097184, -17.326910789953356, 42.39882596556237, 40.619286042356926, -15.88879618247837]],\"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\"],\"td25ebf94f88f494fbfcb408cc81e1b2f\",\"data\",\"point\",[\"x\", \"y0\"],[[7.934047263136408, 7.598792227302015, 7.626712190118778, 72.31295422742802, 57.40673869579451, 75.2272573795475, 36.64580973453128, 30.98126573912171, 41.33503947803902, -35.51134178032326, -37.16442594999918, -36.60383584634386, -32.56852420319788, -30.678863388827992, -30.13637687893097, -40.054599779427065, -33.144951963199034, -34.438910421673846, -36.9782923301865, 74.85499346030893, -38.51411937856607, 4.973402029544977, 0.9906736723590488, 65.11664172913329, -39.54275266846597, -7.290215757869937, -8.859461476125526, -41.51765600322841], [88.57207676703798, 82.92587199412228, 83.63792025786259, -21.76892429612965, -24.59541947617638, -21.83280153100822, -28.777808022831444, -27.18186910322994, -28.35761503255525, -21.527013670222505, -16.76299711029707, -21.882695777244177, -18.215898504742157, -13.977071979646182, -12.798159603828585, -19.95041554870504, -18.612559898192888, -21.551816491319812, -23.248946182229727, -21.276428217176093, -19.96171819719361, 48.092225209534384, 54.31656055215788, -19.08398490018183, -20.269330632993857, 42.15413730277572, 39.88425159917599, -17.949569506762376]],\"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\"],\"t95093cccb1b944e5ab1a2aafeac0f78d\",\"data\",\"point\",[\"x\", \"y0\"],[[13.381003409881428, 12.77663441362569, 12.64020176096838, 70.23946208630328, 56.001733081797234, 73.40465395072906, 34.004940235496676, 28.755248778408298, 39.99382233254985, -36.039435462012136, -37.631619093928585, -38.17652276558813, -33.455073341614806, -30.57989706176935, -30.302640145285736, -41.87447939981488, -34.08473738182552, -34.958989104612606, -37.532797653205726, 73.15555846818833, -39.71203234398501, 8.642420353123095, 4.772541373571611, 62.75918799551672, -42.22961538808293, -4.5925158512052215, -6.101117350421484, -43.25593589680755], [87.5820624857748, 81.73643400807876, 82.30882109153384, -25.364765621719418, -28.72723191968343, -25.689973589120598, -28.835272636447705, -28.68542693631748, -31.413382938059176, -18.304054868142376, -15.459568344159642, -19.218407456862458, -15.176120523647189, -12.245741787177458, -11.17856907266845, -17.382797255240856, -17.551289256375686, -19.45209439116363, -20.247736319035898, -26.280453839644828, -17.49688498096565, 46.009663830256976, 54.57757929586288, -21.068566187607587, -17.547482104142833, 41.95567767959392, 39.40816489054465, -16.252583253463555]],\"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\"],\"tfdc872d5b22045568a5675e50197cae8\",\"data\",\"point\",[\"x\", \"y0\"],[[10.944608567002042, 10.590596685000177, 10.008320280371947, 71.15902586081789, 56.46310554405827, 74.25350784135314, 35.17095831491632, 30.13517315311276, 40.72551433992281, -35.800759450725806, -37.91516765452947, -36.70814251904287, -33.04538024334882, -30.89172721012514, -30.00112322627475, -41.1630889727376, -34.03032240676332, -34.6723770685742, -37.201486608188716, 73.94600728168163, -39.207338186854955, 6.825755167798872, 3.2654575559235086, 63.90209432888148, -41.31182661685456, -5.588839865651547, -7.312413124840634, -42.54013176632846], [88.3816285747687, 82.79164452164848, 83.1209682560747, -23.630392540962518, -26.994249966311695, -23.800320679470016, -29.53611511897496, -28.316298784200313, -30.519034716941196, -20.141942289371407, -16.27248770651329, -20.274392159623787, -16.572370201375684, -13.040297724355549, -12.320084725675997, -18.491120659106002, -17.50035087335203, -20.3773768915014, -21.749750300438432, -23.79959295469074, -18.433371245201897, 46.995744775977094, 54.46348065225544, -19.954697346477356, -18.318698384419196, 41.71782412916921, 39.98075818488955, -17.40910382581971]],\"toyplot\");\n",
       "(function(axis, axis_id, projection)\n",
       "        {\n",
       "            axis.show_coordinates(axis_id, projection);\n",
       "        })(modules[\"toyplot.coordinates.Axis\"],\"t0d403b2cd957452d8810d665487ffc1a\",[{\"domain\": {\"bounds\": {\"max\": Infinity, \"min\": -Infinity}, \"max\": 80.0, \"min\": -43.54974504255877}, \"range\": {\"bounds\": {\"max\": Infinity, \"min\": -Infinity}, \"max\": 200.0, \"min\": 0.0}, \"scale\": \"linear\"}]);\n",
       "(function(axis, axis_id, projection)\n",
       "        {\n",
       "            axis.show_coordinates(axis_id, projection);\n",
       "        })(modules[\"toyplot.coordinates.Axis\"],\"tdae5bf5c33314481992b43f43b6793b1\",[{\"domain\": {\"bounds\": {\"max\": Infinity, \"min\": -Infinity}, \"max\": 88.95785002216492, \"min\": -40.0}, \"range\": {\"bounds\": {\"max\": Infinity, \"min\": -Infinity}, \"max\": 200.0, \"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\"],\"taefdd3db57154609981629c66e9821f2\",\"data\",\"point\",[\"x\", \"y0\"],[[9.90425274899005, 9.741373160037037, 8.936018277967092, 71.35495502527698, 57.50732806007437, 74.86681786249491, 34.52701545843618, 29.386829854476293, 41.66266373643811, -35.44597565067607, -36.92970379493566, -36.16263274186227, -33.187168905666454, -30.118544651439265, -29.247695510506038, -40.69382653749566, -34.34127620647451, -34.760455492675995, -37.221754843889826, 74.70931394054736, -38.625148849926184, 5.975455924391921, 1.86890833618842, 64.37796844082165, -41.312557102204224, -6.727897728581371, -8.019509970534282, -42.02475283927255], [-12.85684432309953, -11.568317599450118, -12.498057154834218, 6.864758250622117, -0.7762268189863434, 4.93484586987755, -5.522613210397503, -7.508534539715664, -3.2563880955209332, -28.71993537117129, 30.959954069460583, -30.231541899223373, -33.476313751731105, -28.58243854982033, -35.79622747463353, 40.13743910288488, -29.614685546100095, -20.997031033038162, -29.486042559615907, 4.8341662990615735, 35.826152404189244, 12.987837965246799, 10.952049869293143, 4.7160544698530735, 48.95319095118936, 18.172817232557744, 19.374606623500654, 52.17732481960136]],\"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\"],\"t9db40600b4f34940a9e5748c51300b5f\",\"data\",\"point\",[\"x\", \"y0\"],[[8.108448603734598, 8.617701925640139, 7.623182406883075, 71.58400760934725, 56.820424777352166, 74.2085054845683, 36.527769158694696, 30.640886933641596, 41.59771824904981, -35.07600541978134, -37.76405748496534, -35.445421217559655, -31.260505543689558, -30.462997375409344, -28.949084432745607, -39.983505407594045, -33.86576221768931, -34.1335368798461, -36.94152731604749, 73.86618201410148, -38.41599436035406, 6.344163217290311, 1.794041871193625, 63.31990098802954, -41.38505855411401, -7.09089007124854, -8.686042072978603, -41.59254488550349], [-12.34925648472535, -11.17686201463531, -12.531727156948454, 6.9584006519562385, -0.36158279160425094, 5.366402573594398, -6.971483081497269, -5.838572134981293, -4.491501408643695, -29.34401694726435, 32.33872059109538, -29.478528009413935, -33.266489096341374, -28.733131862665847, -37.550645693319105, 40.30694401123398, -28.354301517242998, -21.901345450536233, -29.398971510870723, 5.321940763585793, 37.546744209747494, 10.765454196803288, 10.189022041907577, 5.974850752242126, 47.54346791441882, 18.782918807434207, 18.931254884777534, 51.7222937618934]],\"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\"],\"t7ec9b0e0eaec440b9a07f4ccab40a7c8\",\"data\",\"point\",[\"x\", \"y0\"],[[14.572606807173964, 13.675593315069426, 12.913161587523769, 70.10264696929418, 55.57870924467533, 73.38556906511093, 34.554846076054744, 29.62560652044239, 39.25331865847156, -36.56027338495862, -38.70321693526013, -36.844294176409385, -33.32968368329937, -32.05202044938232, -30.66409327711706, -41.93379862958782, -35.40603173332468, -35.372934807214726, -37.23814300718947, 72.74898866318853, -39.51725869544707, 8.249121575597911, 4.862606649761902, 62.86197460805935, -41.85350809223142, -3.7034264559307393, -5.839151551515544, -43.36691486155579], [-12.44720431890619, -11.531847843933472, -12.465014904942844, 5.847496498166977, 0.3128513581678587, 4.912957314944916, -6.369830666466064, -5.6034393775956275, -3.6673423262358313, -28.98665971514396, 31.889380120683857, -31.02124534176526, -34.015705531513404, -29.87904669243798, -35.35073758008142, 40.06376377853999, -27.179849102650806, -21.529753487438008, -27.308864738664646, 4.396138263430899, 35.98696353970785, 12.65274944157025, 11.205165376583864, 5.125795548739592, 47.61264522367738, 18.73436352739705, 18.561803442817993, 50.05446819334706]],\"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\"],\"t7314bf36e35e4a17982c4e2a72038131\",\"data\",\"point\",[\"x\", \"y0\"],[[7.308335636864564, 7.055814857029974, 6.135069132911557, 71.39806613538276, 57.10858159319944, 75.07129113650365, 37.0390014709697, 32.36843382974997, 41.76912316058653, -35.12488883270725, -37.14742795192563, -35.536656135962374, -32.52149266438857, -30.50167909179367, -29.314193964819403, -41.03872133082342, -33.461780302735384, -33.75591721554264, -36.91766210972915, 74.46443077913443, -37.991275293936155, 5.4708573090104515, 1.7839206996665118, 64.73006767385814, -40.125604052655525, -6.861863290139059, -9.008122007939683, -42.39570916976983], [-12.642214251349348, -10.912659609704058, -12.226845009445087, 6.255992945904887, -0.17292633886535663, 5.513400050797212, -6.034904906991896, -6.062580222318249, -3.6756371103063854, -29.059518236877498, 30.77708508730312, -31.817227484116348, -34.39387936979494, -29.46944790920239, -34.41262554845993, 40.810420184197234, -28.078815843927085, -19.965011777237375, -29.6307909953306, 4.521175063751257, 36.652897576134976, 11.459999969809399, 10.405851266070796, 5.608955904623135, 49.19292511482428, 16.920618737492287, 17.605237429233977, 52.83052528378401]],\"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\"],\"t81406817f5644d2592ec28d00367a795\",\"data\",\"point\",[\"x\", \"y0\"],[[9.975367479940425, 9.390055974139981, 9.483751636253158, 71.43537586864699, 56.857092254947965, 75.24498574324188, 34.88257615732163, 30.039075082143558, 40.94520800032876, -35.32395704443256, -37.98926391543842, -36.952930485793296, -32.5490916938235, -30.794806330670927, -30.073247225752823, -41.45538823847933, -32.75404797851448, -34.287870091627255, -36.39609733973079, 74.4634319509234, -39.133910754892995, 5.769822876907803, 2.9108779681218557, 64.47003435644916, -41.559290234367886, -6.016581004804562, -7.965773383072672, -42.61539962796504], [-12.762753398534953, -10.174924298087673, -12.07169528304822, 5.661392056213527, 0.5054754629225972, 5.315901415036599, -5.30627322209196, -5.903068720985674, -3.0138136113538425, -29.648917724468873, 31.4135538128048, -30.877988947317718, -32.68548977331816, -29.21122549250802, -36.01553412256139, 40.46971300939341, -30.234068582665532, -20.91890833605482, -29.14182572091907, 4.468670821956735, 36.57381317718477, 11.26674456435155, 11.064483225434289, 4.517631493586876, 47.798283965811756, 19.329997821591757, 18.355523115377068, 51.225303292250175]],\"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\"],\"tc8e3794ff1a64fe7aac22a3b10d9b924\",\"data\",\"point\",[\"x\", \"y0\"],[[10.463155716083223, 9.961454090074602, 9.538433665650068, 71.90751642617371, 57.139828031935636, 74.77033143461065, 34.92124722836311, 31.096734047987425, 41.00988551052663, -35.835946832162165, -37.9574387095382, -36.911153095373166, -33.15278949441723, -30.422748432889318, -30.649657427748465, -40.72071131361119, -34.65172873033482, -34.808082060081645, -37.506530131562634, 75.01102942241748, -39.619392800943636, 5.952283820443281, 2.7139528031283753, 64.67498313227428, -40.86827652412614, -6.319690977144326, -6.967856307684956, -42.768832492050606], [-14.275250128961728, -12.211476981354064, -13.558030145798709, 6.9763493035131345, -0.5960198852173536, 4.775724125372224, -6.8645926441900516, -8.437591495434047, -4.193233591611714, -27.941386817247515, 31.115848819053223, -29.541820042517333, -33.496492732774605, -30.40449606057543, -37.150479172298965, 40.58148338589313, -28.475817860958934, -20.668452110574513, -27.062888829218497, 5.005296113916586, 36.77168897190321, 13.976952750687877, 11.808769780131273, 6.469580910405754, 46.21224921618595, 19.88694545529143, 19.764265456581477, 51.53287420979823]],\"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\"],\"t21c9aaa15a1548599c233ddd0b0daae4\",\"data\",\"point\",[\"x\", \"y0\"],[[14.408170151272198, 14.319736956132136, 13.595845968941655, 69.78534210697904, 54.63209505148762, 72.29821045256777, 34.54755246108144, 29.659663921663412, 39.523772575792094, -35.85877506226111, -38.97841149509813, -37.232068959935525, -34.59552994175018, -31.814394151668523, -30.009203957976318, -41.68894380779025, -34.72256511541406, -35.10596428974777, -36.73844577188824, 72.42779988350198, -40.64541928618454, 8.718379122360082, 5.87421533888954, 62.38578335537712, -42.65900585217948, -3.2978403426155145, -5.280254268977764, -43.54974504255877], [-13.373083109529048, -12.156336125872933, -13.563188384287614, 5.9462214804908315, -0.2851978777609475, 4.451301722315936, -4.256430051096379, -4.62072201930816, -3.0792797865970924, -30.08048797809414, 31.251370898904856, -30.443088511768956, -33.76227145497817, -28.650933787928505, -36.01744038760408, 39.054890927313146, -29.676035290593152, -21.28486062000104, -28.828039346739196, 4.593796844923054, 36.09220354960725, 13.985354419385276, 11.658566508940595, 4.327423056800501, 47.98005561120593, 19.64862673644462, 19.7051320589088, 51.38245091691867]],\"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\"],\"tc6af9d76a50f468a966ed03874283ed4\",\"data\",\"point\",[\"x\", \"y0\"],[[13.390697852943571, 12.76880993095078, 11.590826176501938, 71.46993215334679, 55.578524649318396, 74.05745590415671, 34.05882516821371, 28.797986823492888, 40.164591697445786, -37.23099503794359, -38.88611121420555, -37.21590976560106, -33.83394296164072, -31.49132116740065, -30.66503944186509, -42.186915282752295, -33.87034243812147, -35.10111032271948, -38.543615578457356, 73.75834423450446, -39.89883010431379, 8.161645449318883, 5.082836846354194, 64.32440100929551, -41.582597700118036, -3.9874771769762014, -6.39684285915582, -42.313826844572496], [-13.157278917384886, -11.385773286626359, -13.071270098106373, 6.629035222861643, -0.20193556790203107, 4.757826026547973, -6.392040185050996, -6.958697234415956, -3.9038092762973764, -29.207903587167593, 32.39207114110186, -30.375768828172482, -33.17747433647826, -29.821469852316365, -35.55123350782893, 39.9243222322679, -26.69968165280852, -21.609887114162127, -29.027000120386788, 4.783375854594424, 37.17337287927543, 12.738223478369612, 10.970743253944493, 5.137570984636447, 48.299599619010436, 19.1460416789352, 18.174065691696267, 50.41497550186339]],\"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\"],\"tc39f43c12439466c9a6bbc6ee6ac70b3\",\"data\",\"point\",[\"x\", \"y0\"],[[7.934047263136408, 7.598792227302015, 7.626712190118778, 72.31295422742802, 57.40673869579451, 75.2272573795475, 36.64580973453128, 30.98126573912171, 41.33503947803902, -35.51134178032326, -37.16442594999918, -36.60383584634386, -32.56852420319788, -30.678863388827992, -30.13637687893097, -40.054599779427065, -33.144951963199034, -34.438910421673846, -36.9782923301865, 74.85499346030893, -38.51411937856607, 4.973402029544977, 0.9906736723590488, 65.11664172913329, -39.54275266846597, -7.290215757869937, -8.859461476125526, -41.51765600322841], [-12.840984412880788, -11.669208501009903, -12.329062532627274, 6.223321893313373, -0.930688123460104, 4.227227397513356, -4.879465128204608, -4.275731648681976, -3.4953729317730486, -30.148522616764588, 31.153311039884596, -31.295289604940077, -33.903011874345275, -27.8565501326265, -35.47587581733068, 40.817750019215154, -29.110434458836018, -20.895834223463414, -28.139897275926575, 4.123201177474982, 37.38134215203262, 12.086153999126644, 10.417014730176474, 3.8376407958294374, 47.6450014243663, 17.70855067928167, 19.809995209639855, 51.815418765016396]],\"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\"],\"tf7d6de1f5d514a34a73aeac40820dfd8\",\"data\",\"point\",[\"x\", \"y0\"],[[13.381003409881428, 12.77663441362569, 12.64020176096838, 70.23946208630328, 56.001733081797234, 73.40465395072906, 34.004940235496676, 28.755248778408298, 39.99382233254985, -36.039435462012136, -37.631619093928585, -38.17652276558813, -33.455073341614806, -30.57989706176935, -30.302640145285736, -41.87447939981488, -34.08473738182552, -34.958989104612606, -37.532797653205726, 73.15555846818833, -39.71203234398501, 8.642420353123095, 4.772541373571611, 62.75918799551672, -42.22961538808293, -4.5925158512052215, -6.101117350421484, -43.25593589680755], [-11.27562089640685, -8.990874085242359, -10.507529396784074, 5.857712287818898, 0.47640240476687756, 5.120297070977981, -5.112759095120297, -5.608347435342352, -2.024002749932669, -30.03133321099528, 31.78065438064391, -31.580500620963722, -32.37005100283908, -29.360930604389054, -36.223188802767204, 40.745785459505896, -28.430207356781874, -21.025460634830207, -30.9139256311914, 4.356003766088775, 37.471908128813546, 8.963525585804987, 8.919025191376495, 3.721584414340746, 48.74056964357259, 16.76016111560881, 18.153646065526562, 52.38745600874034]],\"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\"],\"t811a8e370dfa4faa802fb2142ee8e933\",\"data\",\"point\",[\"x\", \"y0\"],[[10.944608567002042, 10.590596685000177, 10.008320280371947, 71.15902586081789, 56.46310554405827, 74.25350784135314, 35.17095831491632, 30.13517315311276, 40.72551433992281, -35.800759450725806, -37.91516765452947, -36.70814251904287, -33.04538024334882, -30.89172721012514, -30.00112322627475, -41.1630889727376, -34.03032240676332, -34.6723770685742, -37.201486608188716, 73.94600728168163, -39.207338186854955, 6.825755167798872, 3.2654575559235086, 63.90209432888148, -41.31182661685456, -5.588839865651547, -7.312413124840634, -42.54013176632846], [-12.798049024177867, -11.177828034591625, -12.482242006682286, 6.322068059086163, -0.2029848177939054, 4.937588356697814, -5.771039219110703, -6.0817284828779, -3.4800380888272593, -29.316868220519506, 31.50719499609362, -30.66629992901992, -33.45471789241144, -29.196967094447047, -35.95439881068853, 40.291251211044475, -28.5853897212565, -21.07965447873359, -28.893824672886335, 4.6403764968784085, 36.74770865885964, 12.08829963711557, 10.7590691243859, 4.943708833105768, 47.99779886842628, 18.50910417920348, 18.843552997806018, 51.55430907532131]],\"toyplot\");\n",
       "(function(axis, axis_id, projection)\n",
       "        {\n",
       "            axis.show_coordinates(axis_id, projection);\n",
       "        })(modules[\"toyplot.coordinates.Axis\"],\"tc8d9171faf7a45219bef22941075ad81\",[{\"domain\": {\"bounds\": {\"max\": Infinity, \"min\": -Infinity}, \"max\": 80.0, \"min\": -43.54974504255877}, \"range\": {\"bounds\": {\"max\": Infinity, \"min\": -Infinity}, \"max\": 200.0, \"min\": 0.0}, \"scale\": \"linear\"}]);\n",
       "(function(axis, axis_id, projection)\n",
       "        {\n",
       "            axis.show_coordinates(axis_id, projection);\n",
       "        })(modules[\"toyplot.coordinates.Axis\"],\"tc1a40ba8cb784357b912adc8e08bf4b4\",[{\"domain\": {\"bounds\": {\"max\": Infinity, \"min\": -Infinity}, \"max\": 60.0, \"min\": -37.550645693319105}, \"range\": {\"bounds\": {\"max\": Infinity, \"min\": -Infinity}, \"max\": 200.0, \"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\"],\"tb517165936404312ba52e8eaf19efda7\",\"data\",\"point\",[\"x\", \"y0\"],[[88.94277659521687, 83.15763554680372, 83.11693196313485, -23.154422018874403, -26.175827328359365, -22.929580612443416, -29.04374695056051, -27.84475592463253, -30.033228233185504, -20.5272226429361, -17.582037075094018, -20.772194492681482, -15.83452103447345, -13.4999195839101, -12.672877296459575, -19.163668192341472, -18.060695085450217, -21.005876812400388, -22.62667373231019, -22.494278137063397, -18.734389121661113, 47.08020184325513, 54.651222174258244, -19.33075769595802, -18.770877725956595, 41.89984870450099, 39.21541049367185, -17.806477624089833], [-12.85684432309953, -11.568317599450118, -12.498057154834218, 6.864758250622117, -0.7762268189863434, 4.93484586987755, -5.522613210397503, -7.508534539715664, -3.2563880955209332, -28.71993537117129, 30.959954069460583, -30.231541899223373, -33.476313751731105, -28.58243854982033, -35.79622747463353, 40.13743910288488, -29.614685546100095, -20.997031033038162, -29.486042559615907, 4.8341662990615735, 35.826152404189244, 12.987837965246799, 10.952049869293143, 4.7160544698530735, 48.95319095118936, 18.172817232557744, 19.374606623500654, 52.17732481960136]],\"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\"],\"t836928b9517344b2bbe1467c91242fe7\",\"data\",\"point\",[\"x\", \"y0\"],[[88.90475675374316, 82.579872838625, 82.90644449402001, -22.226180728554006, -25.948847739997518, -22.107492305420884, -28.09029554202744, -28.18337701297122, -29.87304752836056, -21.1943158081818, -17.434166192397992, -21.09601220960789, -17.006600123444375, -14.309346568921857, -13.82405754887435, -19.033414746914893, -18.279434401592432, -20.881804470451808, -22.60128011365124, -21.49596551063319, -18.605011774941264, 47.68331699448995, 55.372423426615576, -18.29130320416895, -19.752349913030685, 41.03546114171901, 40.61264587251809, -18.860618077586313], [-12.34925648472535, -11.17686201463531, -12.531727156948454, 6.9584006519562385, -0.36158279160425094, 5.366402573594398, -6.971483081497269, -5.838572134981293, -4.491501408643695, -29.34401694726435, 32.33872059109538, -29.478528009413935, -33.266489096341374, -28.733131862665847, -37.550645693319105, 40.30694401123398, -28.354301517242998, -21.901345450536233, -29.398971510870723, 5.321940763585793, 37.546744209747494, 10.765454196803288, 10.189022041907577, 5.974850752242126, 47.54346791441882, 18.782918807434207, 18.931254884777534, 51.7222937618934]],\"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\"],\"tde81aa71354642ce9907417995d33884\",\"data\",\"point\",[\"x\", \"y0\"],[[88.44370906511963, 83.07172737396125, 83.64887426243536, -26.025816507495954, -29.008837527765387, -26.25297717147209, -30.935156479196397, -28.852509978732968, -31.48092806077556, -19.260947688623123, -15.123072080943938, -18.694255963825103, -16.302153553883635, -11.970169238041187, -10.67357937955078, -17.079042110468954, -15.85757322995793, -19.80214327189642, -20.496994190154904, -26.44967209335421, -17.527589124134455, 46.192683345454206, 54.36978778504263, -22.03567584130095, -16.73411464671087, 41.05714430813461, 39.91698989185306, -16.137707893715962], [-12.44720431890619, -11.531847843933472, -12.465014904942844, 5.847496498166977, 0.3128513581678587, 4.912957314944916, -6.369830666466064, -5.6034393775956275, -3.6673423262358313, -28.98665971514396, 31.889380120683857, -31.02124534176526, -34.015705531513404, -29.87904669243798, -35.35073758008142, 40.06376377853999, -27.179849102650806, -21.529753487438008, -27.308864738664646, 4.396138263430899, 35.98696353970785, 12.65274944157025, 11.205165376583864, 5.125795548739592, 47.61264522367738, 18.73436352739705, 18.561803442817993, 50.05446819334706]],\"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\"],\"t55474ba2fd044086a9d8046c8c9e1683\",\"data\",\"point\",[\"x\", \"y0\"],[[88.95785002216492, 83.23896573882861, 83.46457039913119, -20.624226741579616, -25.22269670227966, -20.76159614271953, -28.600673416878585, -27.453836247144856, -29.688995000935066, -21.231294756323184, -16.982542130161733, -22.050844498430376, -18.382318692985756, -14.137839208532126, -13.91252455218462, -19.121478108278353, -18.842048913089158, -21.038455849530777, -23.570362860848448, -21.241292894058482, -19.054796098932975, 46.447909528854524, 54.366377851567655, -17.18207059300068, -19.418551723409173, 41.1706295947339, 39.67301977232527, -18.800877776302922], [-12.642214251349348, -10.912659609704058, -12.226845009445087, 6.255992945904887, -0.17292633886535663, 5.513400050797212, -6.034904906991896, -6.062580222318249, -3.6756371103063854, -29.059518236877498, 30.77708508730312, -31.817227484116348, -34.39387936979494, -29.46944790920239, -34.41262554845993, 40.810420184197234, -28.078815843927085, -19.965011777237375, -29.6307909953306, 4.521175063751257, 36.652897576134976, 11.459999969809399, 10.405851266070796, 5.608955904623135, 49.19292511482428, 16.920618737492287, 17.605237429233977, 52.83052528378401]],\"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\"],\"t79713b13772c457ab1bdf3501189d280\",\"data\",\"point\",[\"x\", \"y0\"],[[88.76606042876067, 83.31988897178226, 83.7966431017058, -23.06995699117389, -26.224492855444026, -22.72827367362177, -29.692549434086278, -28.053574063287478, -30.31196032044783, -20.05691328150146, -16.68959473334457, -21.170094951248714, -16.217924058719504, -12.726790582492946, -12.597751863174876, -19.02689177407503, -17.918302063466314, -21.476685258807855, -21.273095559644023, -23.11828438582333, -19.155522854297157, 46.80711291192898, 54.42663551577989, -19.617416122594587, -18.81196076393122, 41.393209450378606, 39.97125403868488, -18.54276882783817], [-12.762753398534953, -10.174924298087673, -12.07169528304822, 5.661392056213527, 0.5054754629225972, 5.315901415036599, -5.30627322209196, -5.903068720985674, -3.0138136113538425, -29.648917724468873, 31.4135538128048, -30.877988947317718, -32.68548977331816, -29.21122549250802, -36.01553412256139, 40.46971300939341, -30.234068582665532, -20.91890833605482, -29.14182572091907, 4.468670821956735, 36.57381317718477, 11.26674456435155, 11.064483225434289, 4.517631493586876, 47.798283965811756, 19.329997821591757, 18.355523115377068, 51.225303292250175]],\"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",
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      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# a convenience function for plotting across three axes\n",
    "tool.draw_panels(0, 1, 2, imap=IMAP);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Run TSNE\n",
    "t-SNE is a manifold learning algorithm that can sometimes better project data into a 2-dimensional plane. The distances between points in this space are harder to interpret. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Subsampling SNPs: 25092/100093\n"
     ]
    },
    {
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style=\"fill:rgb(36.9%,31%,63.5%);fill-opacity:0.75;opacity:1.0;stroke:rgb(14.9%,14.9%,14.9%);stroke-opacity:1.0;stroke-width:1.5\" transform=\"translate(60.15568834080081, 196.3143562929767)\"><title>FLBA140</title><circle r=\"5.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(74.8%,89.8%,62.7%);fill-opacity:0.75;opacity:1.0;stroke:rgb(14.9%,14.9%,14.9%);stroke-opacity:1.0;stroke-width:1.5\" transform=\"translate(55.93156738425461, 226.9832134283677)\"><title>FLCK18</title><circle r=\"5.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(33.2%,68.5%,67.8%);fill-opacity:0.75;opacity:1.0;stroke:rgb(14.9%,14.9%,14.9%);stroke-opacity:1.0;stroke-width:1.5\" transform=\"translate(96.16022817891083, 240.99446402860298)\"><title>FLCK216</title><circle r=\"5.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(33.2%,68.5%,67.8%);fill-opacity:0.75;opacity:1.0;stroke:rgb(14.9%,14.9%,14.9%);stroke-opacity:1.0;stroke-width:1.5\" transform=\"translate(84.51133286417468, 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style=\"fill:rgb(74.8%,89.8%,62.7%);fill-opacity:0.75;opacity:1.0;stroke:rgb(14.9%,14.9%,14.9%);stroke-opacity:1.0;stroke-width:1.5\" transform=\"translate(69.87146575436873, 233.2202262462978)\"><title>FLSF54</title><circle r=\"5.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(74.8%,89.8%,62.7%);fill-opacity:0.75;opacity:1.0;stroke:rgb(14.9%,14.9%,14.9%);stroke-opacity:1.0;stroke-width:1.5\" transform=\"translate(60.211955957553236, 237.2362008902849)\"><title>FLWO6</title><circle r=\"5.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(62%,0.4%,25.9%);fill-opacity:0.75;opacity:1.0;stroke:rgb(14.9%,14.9%,14.9%);stroke-opacity:1.0;stroke-width:1.5\" transform=\"translate(248.00608383610853, 205.59068616503833)\"><title>HNDA09</title><circle r=\"5.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(36.9%,31%,63.5%);fill-opacity:0.75;opacity:1.0;stroke:rgb(14.9%,14.9%,14.9%);stroke-opacity:1.0;stroke-width:1.5\" transform=\"translate(62.209087494228235, 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style=\"fill:rgb(36.9%,31%,63.5%);fill-opacity:0.75;opacity:1.0;stroke:rgb(14.9%,14.9%,14.9%);stroke-opacity:1.0;stroke-width:1.5\" transform=\"translate(50.0, 183.42818239590375)\"><title>SCCU3</title><circle r=\"5.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(99.3%,74.8%,43.5%);fill-opacity:0.75;opacity:1.0;stroke:rgb(14.9%,14.9%,14.9%);stroke-opacity:1.0;stroke-width:1.5\" transform=\"translate(122.30379466749466, 73.60528121774692)\"><title>TXGR3</title><circle r=\"5.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(99.3%,74.8%,43.5%);fill-opacity:0.75;opacity:1.0;stroke:rgb(14.9%,14.9%,14.9%);stroke-opacity:1.0;stroke-width:1.5\" transform=\"translate(126.8407420607646, 65.9868608942398)\"><title>TXMD3</title><circle r=\"5.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(36.9%,31%,63.5%);fill-opacity:0.75;opacity:1.0;stroke:rgb(14.9%,14.9%,14.9%);stroke-opacity:1.0;stroke-width:1.5\" transform=\"translate(52.19643868856031, 191.49721051610317)\"><title>TXWV2</title><circle r=\"5.0\"></circle></g></g></g></g><g class=\"toyplot-coordinates-Axis\" id=\"t7309f269115145c68bf230ca05ecb4ce\" transform=\"translate(50.0,250.0)translate(0,10.0)\"><line style=\"stroke-width:2.25\" x1=\"0\" x2=\"210.41767697148467\" y1=\"0\" y2=\"0\"></line><g><g transform=\"translate(17.145620345468263,6)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-12.006\" y=\"10.265999999999998\">-200</text></g><g transform=\"translate(84.76374689697884,6)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-3.3360000000000003\" y=\"10.265999999999998\">0</text></g><g transform=\"translate(152.38187344848942,6)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-10.008\" y=\"10.265999999999998\">200</text></g><g transform=\"translate(220.0,6)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-10.008\" y=\"10.265999999999998\">400</text></g></g><g transform=\"translate(110.0,22)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:14.0px;font-weight:bold;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-64.176\" y=\"11.977\">TSNE component 1</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 class=\"toyplot-coordinates-Axis\" id=\"te5d1128e2425412cb42790d7b654dd9b\" transform=\"translate(50.0,250.0)rotate(-90.0)translate(0,-10.0)\"><line style=\"stroke-width:2.25\" x1=\"0\" x2=\"184.01313910576022\" y1=\"0\" y2=\"0\"></line><g><g transform=\"translate(17.81388898515716,-6)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-12.006\" y=\"0.0\">-250</text></g><g transform=\"translate(78.54259265677143,-6)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-3.3360000000000003\" y=\"0.0\">0</text></g><g transform=\"translate(139.27129632838572,-6)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-10.008\" y=\"0.0\">250</text></g><g transform=\"translate(200.0,-6)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-10.008\" y=\"0.0\">500</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:14.0px;font-weight:bold;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-64.176\" y=\"0.0\">TSNE component 2</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:hanging;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-Table\" id=\"t3fb20f086fbb4f74914d495234fe5e08\"><g transform=\"translate(310.0,75.0)\"><g style=\"fill:rgb(36.9%,31%,63.5%);fill-opacity:0.75;stroke:rgb(14.9%,14.9%,14.9%);stroke-opacity:1.0;stroke-width:1.5\" transform=\"translate(-5.55, -4.440892098500626e-16)\"><circle r=\"5.0\"></circle></g></g><g transform=\"translate(320.0,75.0)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"0\" y=\"3.066\">virg</text></g><g transform=\"translate(310.0,100.0)\"><g style=\"fill:rgb(33.2%,68.5%,67.8%);fill-opacity:0.75;stroke:rgb(14.9%,14.9%,14.9%);stroke-opacity:1.0;stroke-width:1.5\" transform=\"translate(-5.55, -4.440892098500626e-16)\"><circle r=\"5.0\"></circle></g></g><g transform=\"translate(320.0,100.0)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"0\" y=\"3.066\">mini</text></g><g transform=\"translate(310.0,125.0)\"><g style=\"fill:rgb(74.8%,89.8%,62.7%);fill-opacity:0.75;stroke:rgb(14.9%,14.9%,14.9%);stroke-opacity:1.0;stroke-width:1.5\" transform=\"translate(-5.55, -4.440892098500626e-16)\"><circle r=\"5.0\"></circle></g></g><g transform=\"translate(320.0,125.0)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"0\" y=\"3.066\">gemi</text></g><g transform=\"translate(310.0,150.0)\"><g style=\"fill:rgb(100%,100%,74.9%);fill-opacity:0.75;stroke:rgb(14.9%,14.9%,14.9%);stroke-opacity:1.0;stroke-width:1.5\" transform=\"translate(-5.55, -4.440892098500626e-16)\"><circle r=\"5.0\"></circle></g></g><g transform=\"translate(320.0,150.0)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"0\" y=\"3.066\">bran</text></g><g transform=\"translate(310.0,175.0)\"><g style=\"fill:rgb(99.3%,74.8%,43.5%);fill-opacity:0.75;stroke:rgb(14.9%,14.9%,14.9%);stroke-opacity:1.0;stroke-width:1.5\" transform=\"translate(-5.55, -4.440892098500626e-16)\"><circle r=\"5.0\"></circle></g></g><g transform=\"translate(320.0,175.0)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"0\" y=\"3.066\">fusi</text></g><g transform=\"translate(310.0,200.0)\"><g style=\"fill:rgb(91.6%,36.6%,27.8%);fill-opacity:0.75;stroke:rgb(14.9%,14.9%,14.9%);stroke-opacity:1.0;stroke-width:1.5\" transform=\"translate(-5.55, 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       "(function(axis, axis_id, projection)\n",
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       "            axis.show_coordinates(axis_id, projection);\n",
       "        })(modules[\"toyplot.coordinates.Axis\"],\"t7309f269115145c68bf230ca05ecb4ce\",[{\"domain\": {\"bounds\": {\"max\": Infinity, \"min\": -Infinity}, \"max\": 400.0, \"min\": -250.7130889892578}, \"range\": {\"bounds\": {\"max\": Infinity, \"min\": -Infinity}, \"max\": 220.0, \"min\": 0.0}, \"scale\": \"linear\"}]);\n",
       "(function(axis, axis_id, projection)\n",
       "        {\n",
       "            axis.show_coordinates(axis_id, projection);\n",
       "        })(modules[\"toyplot.coordinates.Axis\"],\"te5d1128e2425412cb42790d7b654dd9b\",[{\"domain\": {\"bounds\": {\"max\": Infinity, \"min\": -Infinity}, \"max\": 500.0, \"min\": -323.3338928222656}, \"range\": {\"bounds\": {\"max\": Infinity, \"min\": -Infinity}, \"max\": 200.0, \"min\": 0.0}, \"scale\": \"linear\"}]);\n",
       "})();</script></div></div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "tool.run_tsne(perplexity=5, seed=333)\n",
    "tool.draw(imap=IMAP);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Run UMAP\n",
    "UMAP is similar to t-SNE but the distances between clusters are more representative of the differences betwen groups. This requires another package that if it is not yet installed it will ask you to install. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Subsampling SNPs: 25092/100093\n"
     ]
    },
    {
     "data": {
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style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-5.334\" y=\"10.265999999999998\">-7</text></g><g transform=\"translate(161.09032843742,6)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-5.334\" y=\"10.265999999999998\">-6</text></g><g transform=\"translate(214.78710458322666,6)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-5.334\" y=\"10.265999999999998\">-5</text></g></g><g transform=\"translate(110.0,22)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:14.0px;font-weight:bold;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-66.115\" y=\"11.977\">UMAP component 1</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 class=\"toyplot-coordinates-Axis\" id=\"te0a5d1ff97a6404fbea5d325d50aa198\" transform=\"translate(50.0,250.0)rotate(-90.0)translate(0,-10.0)\"><line style=\"stroke-width:2.25\" x1=\"17.60769864967562\" x2=\"200.0\" y1=\"0\" y2=\"0\"></line><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:12.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-5.334\" y=\"0.0\">-5</text></g><g transform=\"translate(63.56433176163703,-6)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-5.334\" y=\"0.0\">-2</text></g><g transform=\"translate(127.12866352327406,-6)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-3.3360000000000003\" y=\"0.0\">0</text></g><g transform=\"translate(190.6929952849111,-6)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-3.3360000000000003\" y=\"0.0\">2</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:14.0px;font-weight:bold;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-66.115\" y=\"0.0\">UMAP component 2</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:hanging;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-Table\" id=\"t61c76ede16714786ab9fcbb9a44d7ae3\"><g transform=\"translate(310.0,75.0)\"><g style=\"fill:rgb(36.9%,31%,63.5%);fill-opacity:0.75;stroke:rgb(14.9%,14.9%,14.9%);stroke-opacity:1.0;stroke-width:1.5\" transform=\"translate(-5.55, -4.440892098500626e-16)\"><circle r=\"5.0\"></circle></g></g><g transform=\"translate(320.0,75.0)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"0\" y=\"3.066\">virg</text></g><g transform=\"translate(310.0,100.0)\"><g style=\"fill:rgb(33.2%,68.5%,67.8%);fill-opacity:0.75;stroke:rgb(14.9%,14.9%,14.9%);stroke-opacity:1.0;stroke-width:1.5\" transform=\"translate(-5.55, -4.440892098500626e-16)\"><circle r=\"5.0\"></circle></g></g><g transform=\"translate(320.0,100.0)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"0\" y=\"3.066\">mini</text></g><g transform=\"translate(310.0,125.0)\"><g style=\"fill:rgb(74.8%,89.8%,62.7%);fill-opacity:0.75;stroke:rgb(14.9%,14.9%,14.9%);stroke-opacity:1.0;stroke-width:1.5\" transform=\"translate(-5.55, -4.440892098500626e-16)\"><circle r=\"5.0\"></circle></g></g><g transform=\"translate(320.0,125.0)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"0\" y=\"3.066\">gemi</text></g><g transform=\"translate(310.0,150.0)\"><g style=\"fill:rgb(100%,100%,74.9%);fill-opacity:0.75;stroke:rgb(14.9%,14.9%,14.9%);stroke-opacity:1.0;stroke-width:1.5\" transform=\"translate(-5.55, -4.440892098500626e-16)\"><circle r=\"5.0\"></circle></g></g><g transform=\"translate(320.0,150.0)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"0\" y=\"3.066\">bran</text></g><g transform=\"translate(310.0,175.0)\"><g style=\"fill:rgb(99.3%,74.8%,43.5%);fill-opacity:0.75;stroke:rgb(14.9%,14.9%,14.9%);stroke-opacity:1.0;stroke-width:1.5\" transform=\"translate(-5.55, -4.440892098500626e-16)\"><circle r=\"5.0\"></circle></g></g><g transform=\"translate(320.0,175.0)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"0\" y=\"3.066\">fusi</text></g><g transform=\"translate(310.0,200.0)\"><g style=\"fill:rgb(91.6%,36.6%,27.8%);fill-opacity:0.75;stroke:rgb(14.9%,14.9%,14.9%);stroke-opacity:1.0;stroke-width:1.5\" transform=\"translate(-5.55, -4.440892098500626e-16)\"><circle r=\"5.0\"></circle></g></g><g transform=\"translate(320.0,200.0)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"0\" y=\"3.066\">sagr</text></g><g transform=\"translate(310.0,225.0)\"><g style=\"fill:rgb(62%,0.4%,25.9%);fill-opacity:0.75;stroke:rgb(14.9%,14.9%,14.9%);stroke-opacity:1.0;stroke-width:1.5\" transform=\"translate(-5.55, -4.440892098500626e-16)\"><circle r=\"5.0\"></circle></g></g><g transform=\"translate(320.0,225.0)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"0\" y=\"3.066\">oleo</text></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\"] = \"tca41158dcc6d4afcb41c35d5aff66e8f\";\n",
       "modules[\"toyplot/root\"] = (function(root_id)\n",
       "    {\n",
       "        return document.querySelector(\"#\" + root_id);\n",
       "    })(modules[\"toyplot/root/id\"]);\n",
       "modules[\"toyplot/canvas/id\"] = \"t72b86d135a9f41329cd1be0d08fc7c61\";\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",
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      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "tool.run_umap(n_neighbors=13, seed=333)\n",
    "tool.draw(imap=IMAP);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Missing data with imputation\n",
    "Missing data has large effects on dimensionality reduction methods, and it is best to (1) minimize the amount of missing data in your input data set by using filtering, and (2) impute missing data values. In the examples above data is imputed using the 'sample' method, which probabilistically samples alleles for based on the allele frequency in the group that a taxon is assigned to in IMAP. It is good to compare this to a case where imputation is performed without IMAP assignments, to assess the impact of the *a priori* assignments. Although this comparison is useful, assigning taxa to groups with IMAP dictionaries for imputation is expected to yield more accurate imputation. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
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y=\"0.0\">50</text></g><g transform=\"translate(200.0,-6)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-6.672000000000001\" y=\"0.0\">75</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:14.0px;font-weight:bold;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-74.30499999999999\" y=\"0.0\">PC1 (15.1%) explained</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:hanging;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-Table\" id=\"t5e82b9e0ca0d4ae693801192096a0d0a\"><g transform=\"translate(310.0,75.0)\"><g style=\"fill:rgb(36.9%,31%,63.5%);fill-opacity:0.75;stroke:rgb(14.9%,14.9%,14.9%);stroke-opacity:1.0;stroke-width:1.5\" transform=\"translate(-5.55, -4.440892098500626e-16)\"><circle r=\"5.0\"></circle></g></g><g transform=\"translate(320.0,75.0)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"0\" y=\"3.066\">virg</text></g><g transform=\"translate(310.0,100.0)\"><g style=\"fill:rgb(33.2%,68.5%,67.8%);fill-opacity:0.75;stroke:rgb(14.9%,14.9%,14.9%);stroke-opacity:1.0;stroke-width:1.5\" transform=\"translate(-5.55, -4.440892098500626e-16)\"><circle r=\"5.0\"></circle></g></g><g transform=\"translate(320.0,100.0)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"0\" y=\"3.066\">mini</text></g><g transform=\"translate(310.0,125.0)\"><g style=\"fill:rgb(74.8%,89.8%,62.7%);fill-opacity:0.75;stroke:rgb(14.9%,14.9%,14.9%);stroke-opacity:1.0;stroke-width:1.5\" transform=\"translate(-5.55, -4.440892098500626e-16)\"><circle r=\"5.0\"></circle></g></g><g transform=\"translate(320.0,125.0)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"0\" y=\"3.066\">gemi</text></g><g transform=\"translate(310.0,150.0)\"><g style=\"fill:rgb(100%,100%,74.9%);fill-opacity:0.75;stroke:rgb(14.9%,14.9%,14.9%);stroke-opacity:1.0;stroke-width:1.5\" transform=\"translate(-5.55, -4.440892098500626e-16)\"><circle r=\"5.0\"></circle></g></g><g transform=\"translate(320.0,150.0)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"0\" y=\"3.066\">bran</text></g><g transform=\"translate(310.0,175.0)\"><g style=\"fill:rgb(99.3%,74.8%,43.5%);fill-opacity:0.75;stroke:rgb(14.9%,14.9%,14.9%);stroke-opacity:1.0;stroke-width:1.5\" transform=\"translate(-5.55, -4.440892098500626e-16)\"><circle r=\"5.0\"></circle></g></g><g transform=\"translate(320.0,175.0)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"0\" y=\"3.066\">fusi</text></g><g transform=\"translate(310.0,200.0)\"><g style=\"fill:rgb(91.6%,36.6%,27.8%);fill-opacity:0.75;stroke:rgb(14.9%,14.9%,14.9%);stroke-opacity:1.0;stroke-width:1.5\" transform=\"translate(-5.55, -4.440892098500626e-16)\"><circle r=\"5.0\"></circle></g></g><g transform=\"translate(320.0,200.0)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"0\" y=\"3.066\">sagr</text></g><g transform=\"translate(310.0,225.0)\"><g style=\"fill:rgb(62%,0.4%,25.9%);fill-opacity:0.75;stroke:rgb(14.9%,14.9%,14.9%);stroke-opacity:1.0;stroke-width:1.5\" transform=\"translate(-5.55, -4.440892098500626e-16)\"><circle r=\"5.0\"></circle></g></g><g transform=\"translate(320.0,225.0)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"0\" y=\"3.066\">oleo</text></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\"] = \"teaa9fe37f32c46f5b8df1437cda87ffb\";\n",
       "modules[\"toyplot/root\"] = (function(root_id)\n",
       "    {\n",
       "        return document.querySelector(\"#\" + root_id);\n",
       "    })(modules[\"toyplot/root/id\"]);\n",
       "modules[\"toyplot/canvas/id\"] = \"t8bc852b918df4fdca9f36660339934c3\";\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\"],\"tbbdcf008e94f4c71a18735c239fe0486\",\"data\",\"point\",[\"x\", \"y0\"],[[-4.610127750325358, -4.897032188230854, -5.210652395667008, 59.008192192554645, 48.87347525839454, 65.3785478109348, 28.689133625198195, 25.50742383938469, 36.07067194838007, -27.346919598920994, -27.254882347852732, -27.44179045644773, -25.219019311889177, -24.339494315373816, -23.00217928709274, -29.097669860971383, -25.577733153926363, -26.729134876791306, -27.152276655347933, 63.228326259760934, -27.998572714413733, -0.8653215384622438, -6.111563934230512, 53.25614558763018, -26.267820593556806, -11.572611359669466, -13.721879932622791, -15.595234250445131], [74.15054262182838, 70.81470367108803, 70.61064944474462, -7.890818940569352, -14.31247153647793, -10.157801630641256, -17.75576667674344, -18.771769612816435, -18.435439700740318, -23.410650304083166, -18.52440658995212, -22.547132254307826, -19.69352328575764, -17.003790139212306, -14.798079899705932, -20.066990864215352, -21.277158591116127, -23.26229052220017, -23.354526606927855, -9.391939523445874, -20.481201322940453, 37.4626699176883, 44.64556162267543, -7.712722941437888, -17.77210315940494, 29.69895326685749, 28.55895291050561, -9.321449352691499]],\"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\"],\"t0256f91f74384fc1940f940836ea4a30\",\"data\",\"point\",[\"x\", \"y0\"],[[-11.089187245734252, -11.060352884427575, -11.527331415856638, 60.93133297074647, 49.803388360872866, 65.39909468578519, 29.842471759920446, 26.560157823073997, 38.01600571902808, -25.060515455962914, -25.67900748548877, -24.919381458314607, -23.42365508029597, -23.040538858627063, -22.056285929959742, -26.606054713806277, -24.339901986986916, -24.34667506238108, -25.542094539543488, 64.11799020221366, -25.286826182036357, -4.424924964036719, -10.106610533326446, 53.17338279399298, -24.502440435479063, -13.659248222405436, -16.430125579209534, -14.742666281754786], [73.17218783489146, 69.6384486347577, 69.45471183004955, -3.3185509548364935, -10.110277426605894, -4.201525391433913, -15.849869743200207, -16.386504863263905, -15.676179453344798, -25.58648893708987, -21.23379964601822, -25.196684867887285, -21.46776736920966, -18.617533098511235, -16.59185243448275, -22.657367237098534, -22.758001013443916, -25.197845986296212, -25.839724192524276, -4.33886317723385, -22.484032177822094, 37.91175952950113, 44.60995361048628, -2.7949562489799593, -19.74170314165389, 28.038388671645254, 26.867199891591582, -9.643122641986015]],\"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\"],\"t8f5b2a14c5e14c79a653c88e2827e5d6\",\"data\",\"point\",[\"x\", \"y0\"],[[-5.501585175434793, -4.797354930113427, -4.9644333348851495, 59.17651240082409, 49.15050534126175, 64.72964029538429, 28.636921864737438, 24.52379976802538, 36.81854420569781, -27.505614651793888, -27.95910524541708, -27.144918002924637, -24.7292963165801, -23.724885032040333, -22.230394414977443, -28.848111262670535, -24.987676378507018, -26.258519069868523, -26.391545318194183, 63.14270541046964, -27.49422649970108, -2.2706466291539593, -6.393277426329369, 52.602513440584175, -25.6996788665699, -11.979343029147808, -13.278133662153282, -16.622397480522064], [73.98883469925674, 71.0924781404512, 70.43190429416981, -8.0350129203455, -14.24583301552057, -9.093740652285335, -17.786234356952345, -18.87971737027347, -18.55485085105459, -23.925051545788023, -19.567014294524203, -22.538228735174304, -20.322564915792984, -16.343484598154802, -15.017862969044929, -21.23645210433261, -21.045928979624207, -23.46370269698109, -22.869258596492028, -8.903006001950258, -20.82802727321983, 37.619257475138284, 45.212251053652096, -7.440086806618477, -18.69155899867006, 29.48911523873148, 28.353212633662363, -7.3994358522623855]],\"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\"],\"ta78164078a2e4ebdab408e7a75b8bb9a\",\"data\",\"point\",[\"x\", \"y0\"],[[3.7755184781705395, 4.325821265080253, 3.3077531407135896, 58.84742853010361, 46.46074290462791, 63.42407252878464, 26.012155296424144, 21.60636079389018, 33.73908106120604, -30.823330982601412, -29.512742370842904, -30.5946530752349, -27.25615806394358, -26.19973322415822, -24.343374241968117, -29.74077679219534, -29.025042318578368, -29.91376533615895, -30.691954621024205, 61.60745687270855, -29.15300342432119, 3.663914541808177, -0.9168239403884195, 51.81606906511842, -27.438120219277618, -7.153337231915168, -9.807757199998434, -16.015801436029257], [74.71401907763965, 71.09053360276414, 70.38954893033377, -14.890513309109846, -20.064781753808248, -16.963430208142217, -22.017395434700916, -21.331770469345248, -22.524035225948193, -19.93627906942967, -16.005111139003215, -19.256008799673122, -16.511092253937157, -13.524680650861486, -12.473369131561357, -16.134102284826323, -17.27615156068273, -19.948282315887344, -19.781507258899158, -16.87791200876548, -16.611022472356257, 37.11901299855254, 44.34647980074543, -13.107675484339795, -15.064894350354901, 31.57973043669853, 28.285671921217656, -7.224981586319024]],\"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\"],\"t5cfcbbc8bfe74750ba38048aa902c80a\",\"data\",\"point\",[\"x\", \"y0\"],[[-4.302052295647097, -4.679542679652327, -4.565848298015097, 58.90174335988286, 48.664807815608796, 64.65224255248158, 29.053363247967702, 24.573734314739205, 35.843528039302115, -28.103868726099506, -28.410218255884782, -27.478128648956528, -24.9233627314909, -24.636860880451, -23.44144198428626, -28.84816600936544, -25.484740593083924, -26.595335429090316, -26.472990953457778, 63.30568045327531, -27.37829084560639, -0.5216965265086178, -6.2432892480224735, 52.52695643534732, -26.205115558682632, -10.999833711964182, -12.417829727014515, -15.813443115325137], [73.44267914919621, 70.28127276407417, 71.04450522127232, -8.949057227555201, -15.139095920520502, -9.653229488762632, -18.32706605242362, -18.641439506247398, -19.544984953394238, -23.538954610630938, -18.861939030749287, -22.647435300455605, -19.257281596305564, -16.513812784580765, -15.54673538500299, -20.13353856908715, -20.544499450384826, -23.190137220389733, -22.578822137038408, -9.88901971720836, -19.685989670251107, 38.277633107013834, 45.599670483440995, -7.291536815165409, -18.1072098515139, 29.989737196081705, 28.110408012953815, -8.704120646365379]],\"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\"],\"t81febb91f31a49a1bf04405b053cb65c\",\"data\",\"point\",[\"x\", \"y0\"],[[1.0229760497338496, 1.3053084121460712, 0.8356926190529742, 59.458641079460804, 47.72259964445879, 64.10383682301061, 26.40166697715163, 22.906075529874904, 34.6023711760987, -29.285346888452665, -29.08399103054615, -29.60837705788379, -26.353480533736263, -25.605554982371952, -24.12871824956464, -29.92116111116099, -27.695213412325746, -28.666791307827904, -29.199884717806643, 62.22840091868602, -29.612502024687913, 2.0992876119940735, -2.0551763606678866, 51.768245755274684, -27.202494676724253, -9.191624570838083, -11.210274374131032, -15.634511298217188], [74.23612329557778, 70.5921540261063, 71.1036399924946, -13.250187524368602, -18.433208342485948, -14.252140651206137, -20.462191316568777, -20.670731989111033, -21.149486549128866, -21.388683636549505, -16.399722233837547, -20.339005667370227, -17.275123764332488, -14.579801007021596, -13.63789701529596, -16.785149684123866, -18.876213559209802, -21.143854821017886, -21.79538286010545, -14.205535203299728, -18.06547258645195, 36.84498011567118, 45.36911983555679, -11.714318031900728, -15.982192234848064, 29.881401705058217, 29.281035087839154, -6.902155380069777]],\"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\"],\"t93c3f7be34aa4a62acf0284be0a11f20\",\"data\",\"point\",[\"x\", \"y0\"],[[0.6459273566844087, 0.052980303451650515, 0.30450572456334624, 58.47979975954235, 47.50567849202539, 63.214517674617966, 26.841182788165284, 23.17257109056895, 34.25353312865155, -28.9120318150985, -28.727817249611437, -29.407428959791588, -26.20900063413997, -25.53872281265302, -23.49331191608251, -30.010891809230984, -26.992470862599852, -29.0760519883831, -28.454369901204892, 61.74375265734825, -28.649628389004594, 2.0969623843361047, -1.9209838398314487, 52.13005817804988, -26.958869976765342, -9.161795212311421, -10.198727462181601, -16.72936670911493], [74.53667207837421, 70.76022947516397, 70.92605438320372, -13.164056048976672, -18.08587034150237, -14.518208306391996, -19.825261496132754, -19.789740471726414, -21.148608990223227, -21.357356275895366, -16.337150343439795, -20.42859833276357, -17.52683785760979, -14.343786233735408, -13.001552388997409, -19.0125718441234, -18.81523248698896, -21.035029217003068, -21.63396863341711, -13.825868034433135, -17.845017308266343, 37.566188060474836, 45.221619652640655, -11.389709310544967, -16.42716475180664, 29.81629189493625, 28.27606507182927, -7.5915319426445595]],\"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\"],\"t9884668cdbe5446bb60e965b6d9cf2e4\",\"data\",\"point\",[\"x\", \"y0\"],[[-5.7945353779261906, -5.671855154074227, -6.35349269627018, 60.3629379619553, 49.47409420917244, 66.2193505288515, 27.845075976443173, 25.008560645316265, 36.256711693059785, -26.93988661013104, -27.81690384992917, -26.71471848709299, -24.873954256830302, -23.687978395897918, -22.516051565639323, -29.479016661207318, -25.91334456873136, -26.208646143087957, -26.378308403277796, 63.51665966705537, -27.866848646519426, -2.0413671694837827, -6.336569608821745, 53.105986459663704, -26.06986804430889, -11.558558279208233, -14.054135332843174, -15.513337890236446], [74.86165590781746, 70.31686262002522, 70.99777942814703, -7.388083784872224, -13.976136162248114, -8.595040261599328, -17.607010243013697, -18.09644772054873, -18.19472664949063, -24.03706754237652, -18.759113112714576, -21.821351610236317, -20.16068205206253, -16.516963135651373, -15.319553376462476, -21.52486053593151, -21.731063083611495, -23.719620353180833, -23.270551943899015, -8.555644490080194, -20.72623614408179, 37.046784385723825, 44.41123268092866, -7.489824942839255, -18.576003809186336, 29.47221239494987, 27.962866828811627, -9.003413292316784]],\"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\"],\"taae1549c5c964a649f7bce5ae3b12b29\",\"data\",\"point\",[\"x\", \"y0\"],[[1.4217125325636706, 0.8121322370615376, 0.8338807758330716, 59.05726717353782, 47.34746225939301, 63.9399481245418, 26.722661284131902, 24.01543753552095, 35.11536144453825, -29.25629020823448, -28.742061827524964, -28.312544824247446, -26.817373969064644, -25.50391516086061, -22.924982425642344, -30.65028541916159, -27.443725663079473, -28.511415554242582, -28.645988317359546, 61.39270534715487, -29.269088333904165, 1.658476197220326, -3.3589999233449093, 52.33264357256316, -27.519563370945384, -9.606448345796478, -11.736565006033272, -16.350440134618427], [74.75176716556342, 70.87999336369221, 71.2800105603361, -12.615779794764961, -18.723697448502442, -14.063751838790097, -20.173447465369726, -20.70915844634967, -21.97534528621927, -21.43038801603759, -16.878317496123998, -21.07948468641088, -18.302673157712377, -14.874654567534602, -13.637808793629068, -18.129386302620247, -19.092129191789567, -20.929654350817067, -20.70179219095831, -13.777298516562794, -18.045003679802345, 37.76757430004092, 46.35297848092965, -11.042791503377492, -16.64491800372157, 29.443499111969683, 28.906661823726857, -6.555004069164752]],\"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\"],\"t62e58d74640d4916a6ea617c7b3c0200\",\"data\",\"point\",[\"x\", \"y0\"],[[10.385447007388025, 8.962170640544715, 9.37975194811015, 56.6027412539673, 45.53034771438218, 61.691473676337544, 23.806938631988046, 19.93717225992973, 32.79261683124066, -31.9183624427699, -30.019167315977228, -31.973900104820444, -28.072526691810218, -27.517418248955472, -25.00807248235375, -32.1186235493302, -28.786403556406444, -30.4771075942407, -30.78795611239159, 59.22401224327893, -30.475202290542303, 5.955953628044605, 2.530348353235943, 50.209065401734584, -29.0254193216957, -6.01567864875227, -7.7191587675645446, -17.09304246257171], [74.60973881114873, 70.1128305241436, 70.17516935624526, -19.480589173870626, -23.550591355808674, -20.836882198245828, -22.991171580018168, -23.24642391592142, -25.044202595628043, -18.051731876742014, -13.316107059887619, -16.56399998212954, -14.217982218354884, -11.543616693030241, -9.798029487187627, -14.582858208930254, -15.344159079174139, -17.62032473084237, -18.819372552527003, -20.901038647761244, -14.214245373445664, 37.0614021391299, 44.64882985244157, -17.288473220843084, -13.26499684756616, 30.56225272667679, 29.52577738659528, -6.019203998466563]],\"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\"],\"tf88abbb291484abb9f86cad96aaa5627\",\"data\",\"point\",[\"x\", \"y0\"],[[-1.4045906420527197, -1.5647724978214177, -1.7960173932420944, 59.082659668257534, 48.053310200019766, 64.27527247007299, 27.385157145212794, 23.781129360032427, 35.350842524720306, -28.51521673800653, -28.32058969790752, -28.35958410757147, -25.787782758978114, -24.97951019113894, -23.31448124975669, -29.532075718910004, -26.624625249422547, -27.678344236207245, -27.971736953960807, 62.35076900319515, -28.318418935073716, 0.5350637535757964, -4.091294646172726, 52.292106668995906, -26.688939106400557, -10.089847861200855, -12.05745870437522, -16.011024105883507], [74.24642206412942, 70.55795068222665, 70.64139734409969, -10.898264967926947, -16.66419633034807, -12.233575062749875, -19.279541436512364, -19.652370436560368, -20.224786025517215, -22.26626518146227, -17.588268094625057, -21.241793023640867, -18.473552847107506, -15.38621229082938, -13.98227408813705, -19.026327763528926, -19.676053699602576, -21.951074221461575, -22.064490697278863, -12.066612532074092, -18.89862480086378, 37.46772620289347, 45.04176970734976, -9.727209530604705, -17.027274514872644, 29.797158264360526, 28.41278515687332, -7.836441876228673]],\"toyplot\");\n",
       "(function(axis, axis_id, projection)\n",
       "        {\n",
       "            axis.show_coordinates(axis_id, projection);\n",
       "        })(modules[\"toyplot.coordinates.Axis\"],\"t7f848f05ae2a4779b7f4d9d78193b5fb\",[{\"domain\": {\"bounds\": {\"max\": Infinity, \"min\": -Infinity}, \"max\": 66.2193505288515, \"min\": -32.1186235493302}, \"range\": {\"bounds\": {\"max\": Infinity, \"min\": -Infinity}, \"max\": 220.0, \"min\": 0.0}, \"scale\": \"linear\"}]);\n",
       "(function(axis, axis_id, projection)\n",
       "        {\n",
       "            axis.show_coordinates(axis_id, projection);\n",
       "        })(modules[\"toyplot.coordinates.Axis\"],\"tae34104ace784031a4506b08fe5597f1\",[{\"domain\": {\"bounds\": {\"max\": Infinity, \"min\": -Infinity}, \"max\": 75.0, \"min\": -25.839724192524276}, \"range\": {\"bounds\": {\"max\": Infinity, \"min\": -Infinity}, \"max\": 200.0, \"min\": 0.0}, \"scale\": \"linear\"}]);\n",
       "})();</script></div></div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# allow very little missing data\n",
    "import itertools\n",
    "tool = ipa.pca(\n",
    "    data=SNPS, \n",
    "    imap={'samples': list(itertools.chain(*[i for i in IMAP.values()]))},\n",
    "    minmaf=0.05, \n",
    "    mincov=0.9, \n",
    "    impute_method=\"sample\", \n",
    "    quiet=True,\n",
    ")\n",
    "tool.run(nreplicates=10, seed=123)\n",
    "tool.draw(imap=IMAP);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Statistics"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0.16, 0.15, 0.06, 0.05, 0.04, 0.04, 0.03, 0.03, 0.03, 0.03, 0.03,\n",
       "       0.03, 0.03, 0.03, 0.03, 0.03, 0.02, 0.02, 0.02, 0.02, 0.02, 0.02,\n",
       "       0.02, 0.02, 0.02, 0.01, 0.01, 0.  ])"
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# variance explained by each PC axes in the first replicate run\n",
    "tool.variances[0].round(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>0</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "      <th>5</th>\n",
       "      <th>6</th>\n",
       "      <th>7</th>\n",
       "      <th>8</th>\n",
       "      <th>9</th>\n",
       "      <th>...</th>\n",
       "      <th>18</th>\n",
       "      <th>19</th>\n",
       "      <th>20</th>\n",
       "      <th>21</th>\n",
       "      <th>22</th>\n",
       "      <th>23</th>\n",
       "      <th>24</th>\n",
       "      <th>25</th>\n",
       "      <th>26</th>\n",
       "      <th>27</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>BJSB3</th>\n",
       "      <td>-4.610</td>\n",
       "      <td>74.151</td>\n",
       "      <td>-18.954</td>\n",
       "      <td>-26.073</td>\n",
       "      <td>0.587</td>\n",
       "      <td>0.241</td>\n",
       "      <td>-1.056</td>\n",
       "      <td>-2.311</td>\n",
       "      <td>-1.129</td>\n",
       "      <td>0.826</td>\n",
       "      <td>...</td>\n",
       "      <td>1.739</td>\n",
       "      <td>1.861</td>\n",
       "      <td>-0.803</td>\n",
       "      <td>-2.532</td>\n",
       "      <td>0.292</td>\n",
       "      <td>45.451</td>\n",
       "      <td>-3.763</td>\n",
       "      <td>-6.647</td>\n",
       "      <td>0.511</td>\n",
       "      <td>5.150e-15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BJSL25</th>\n",
       "      <td>-4.897</td>\n",
       "      <td>70.815</td>\n",
       "      <td>-17.631</td>\n",
       "      <td>-22.660</td>\n",
       "      <td>-0.514</td>\n",
       "      <td>-0.194</td>\n",
       "      <td>-3.377</td>\n",
       "      <td>-1.688</td>\n",
       "      <td>-0.420</td>\n",
       "      <td>2.316</td>\n",
       "      <td>...</td>\n",
       "      <td>0.284</td>\n",
       "      <td>-1.698</td>\n",
       "      <td>2.079</td>\n",
       "      <td>0.757</td>\n",
       "      <td>0.322</td>\n",
       "      <td>-17.017</td>\n",
       "      <td>4.234</td>\n",
       "      <td>39.465</td>\n",
       "      <td>-0.777</td>\n",
       "      <td>-3.872e-15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BJVL19</th>\n",
       "      <td>-5.211</td>\n",
       "      <td>70.611</td>\n",
       "      <td>-19.109</td>\n",
       "      <td>-23.022</td>\n",
       "      <td>0.183</td>\n",
       "      <td>-0.428</td>\n",
       "      <td>-2.558</td>\n",
       "      <td>-1.428</td>\n",
       "      <td>-0.932</td>\n",
       "      <td>1.365</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.139</td>\n",
       "      <td>-0.828</td>\n",
       "      <td>-0.356</td>\n",
       "      <td>0.900</td>\n",
       "      <td>-0.154</td>\n",
       "      <td>-31.057</td>\n",
       "      <td>0.534</td>\n",
       "      <td>-32.138</td>\n",
       "      <td>0.011</td>\n",
       "      <td>5.343e-15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BZBB1</th>\n",
       "      <td>59.008</td>\n",
       "      <td>-7.891</td>\n",
       "      <td>3.739</td>\n",
       "      <td>1.181</td>\n",
       "      <td>9.771</td>\n",
       "      <td>-21.487</td>\n",
       "      <td>-5.505</td>\n",
       "      <td>-10.850</td>\n",
       "      <td>4.033</td>\n",
       "      <td>2.517</td>\n",
       "      <td>...</td>\n",
       "      <td>-23.674</td>\n",
       "      <td>-7.355</td>\n",
       "      <td>44.886</td>\n",
       "      <td>-0.201</td>\n",
       "      <td>0.726</td>\n",
       "      <td>0.436</td>\n",
       "      <td>-12.788</td>\n",
       "      <td>-0.580</td>\n",
       "      <td>-1.093</td>\n",
       "      <td>1.349e-14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CRL0001</th>\n",
       "      <td>48.873</td>\n",
       "      <td>-14.312</td>\n",
       "      <td>-3.244</td>\n",
       "      <td>-1.591</td>\n",
       "      <td>-4.756</td>\n",
       "      <td>24.637</td>\n",
       "      <td>7.354</td>\n",
       "      <td>-10.712</td>\n",
       "      <td>-12.492</td>\n",
       "      <td>-3.943</td>\n",
       "      <td>...</td>\n",
       "      <td>-2.002</td>\n",
       "      <td>-0.992</td>\n",
       "      <td>-1.080</td>\n",
       "      <td>-1.470</td>\n",
       "      <td>0.523</td>\n",
       "      <td>-0.487</td>\n",
       "      <td>7.434</td>\n",
       "      <td>0.335</td>\n",
       "      <td>35.415</td>\n",
       "      <td>1.801e-14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CRL0030</th>\n",
       "      <td>65.379</td>\n",
       "      <td>-10.158</td>\n",
       "      <td>1.379</td>\n",
       "      <td>0.016</td>\n",
       "      <td>7.581</td>\n",
       "      <td>-12.391</td>\n",
       "      <td>-2.594</td>\n",
       "      <td>-8.762</td>\n",
       "      <td>0.429</td>\n",
       "      <td>1.645</td>\n",
       "      <td>...</td>\n",
       "      <td>-16.870</td>\n",
       "      <td>-1.965</td>\n",
       "      <td>-15.548</td>\n",
       "      <td>-1.647</td>\n",
       "      <td>2.670</td>\n",
       "      <td>3.929</td>\n",
       "      <td>41.397</td>\n",
       "      <td>-2.348</td>\n",
       "      <td>-11.342</td>\n",
       "      <td>1.248e-14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CUCA4</th>\n",
       "      <td>28.689</td>\n",
       "      <td>-17.756</td>\n",
       "      <td>-5.968</td>\n",
       "      <td>-4.747</td>\n",
       "      <td>-25.342</td>\n",
       "      <td>-13.972</td>\n",
       "      <td>-15.904</td>\n",
       "      <td>60.494</td>\n",
       "      <td>-27.650</td>\n",
       "      <td>-2.318</td>\n",
       "      <td>...</td>\n",
       "      <td>3.390</td>\n",
       "      <td>0.035</td>\n",
       "      <td>1.886</td>\n",
       "      <td>1.354</td>\n",
       "      <td>-1.875</td>\n",
       "      <td>0.528</td>\n",
       "      <td>0.130</td>\n",
       "      <td>-0.005</td>\n",
       "      <td>0.234</td>\n",
       "      <td>-5.325e-15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CUSV6</th>\n",
       "      <td>25.507</td>\n",
       "      <td>-18.772</td>\n",
       "      <td>-5.325</td>\n",
       "      <td>-5.905</td>\n",
       "      <td>-13.657</td>\n",
       "      <td>25.755</td>\n",
       "      <td>-3.049</td>\n",
       "      <td>23.135</td>\n",
       "      <td>60.079</td>\n",
       "      <td>13.485</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.083</td>\n",
       "      <td>1.558</td>\n",
       "      <td>0.302</td>\n",
       "      <td>-0.601</td>\n",
       "      <td>-1.812</td>\n",
       "      <td>0.539</td>\n",
       "      <td>-1.068</td>\n",
       "      <td>-0.345</td>\n",
       "      <td>-0.248</td>\n",
       "      <td>7.175e-15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CUVN10</th>\n",
       "      <td>36.071</td>\n",
       "      <td>-18.435</td>\n",
       "      <td>-5.100</td>\n",
       "      <td>-3.779</td>\n",
       "      <td>-13.754</td>\n",
       "      <td>53.098</td>\n",
       "      <td>14.693</td>\n",
       "      <td>-10.917</td>\n",
       "      <td>-24.551</td>\n",
       "      <td>-6.453</td>\n",
       "      <td>...</td>\n",
       "      <td>4.404</td>\n",
       "      <td>0.415</td>\n",
       "      <td>7.293</td>\n",
       "      <td>-0.120</td>\n",
       "      <td>-0.499</td>\n",
       "      <td>-0.757</td>\n",
       "      <td>-6.956</td>\n",
       "      <td>-0.045</td>\n",
       "      <td>-20.352</td>\n",
       "      <td>1.455e-14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FLAB109</th>\n",
       "      <td>-27.347</td>\n",
       "      <td>-23.411</td>\n",
       "      <td>-22.541</td>\n",
       "      <td>6.585</td>\n",
       "      <td>-17.245</td>\n",
       "      <td>-6.095</td>\n",
       "      <td>3.553</td>\n",
       "      <td>-13.351</td>\n",
       "      <td>0.285</td>\n",
       "      <td>-0.432</td>\n",
       "      <td>...</td>\n",
       "      <td>-9.764</td>\n",
       "      <td>2.632</td>\n",
       "      <td>-4.347</td>\n",
       "      <td>-0.406</td>\n",
       "      <td>-20.536</td>\n",
       "      <td>-0.271</td>\n",
       "      <td>1.277</td>\n",
       "      <td>1.406</td>\n",
       "      <td>-0.214</td>\n",
       "      <td>5.870e-15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FLBA140</th>\n",
       "      <td>-27.255</td>\n",
       "      <td>-18.524</td>\n",
       "      <td>24.450</td>\n",
       "      <td>-17.597</td>\n",
       "      <td>1.065</td>\n",
       "      <td>1.099</td>\n",
       "      <td>-6.548</td>\n",
       "      <td>-4.178</td>\n",
       "      <td>-0.478</td>\n",
       "      <td>-2.337</td>\n",
       "      <td>...</td>\n",
       "      <td>0.620</td>\n",
       "      <td>-20.521</td>\n",
       "      <td>-2.257</td>\n",
       "      <td>49.330</td>\n",
       "      <td>-7.602</td>\n",
       "      <td>2.767</td>\n",
       "      <td>1.443</td>\n",
       "      <td>-0.570</td>\n",
       "      <td>0.496</td>\n",
       "      <td>6.641e-15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FLCK18</th>\n",
       "      <td>-27.442</td>\n",
       "      <td>-22.547</td>\n",
       "      <td>-22.679</td>\n",
       "      <td>6.941</td>\n",
       "      <td>-19.645</td>\n",
       "      <td>-12.994</td>\n",
       "      <td>0.340</td>\n",
       "      <td>-9.506</td>\n",
       "      <td>-0.153</td>\n",
       "      <td>1.499</td>\n",
       "      <td>...</td>\n",
       "      <td>0.083</td>\n",
       "      <td>3.186</td>\n",
       "      <td>1.081</td>\n",
       "      <td>-0.757</td>\n",
       "      <td>-10.247</td>\n",
       "      <td>-0.010</td>\n",
       "      <td>-0.548</td>\n",
       "      <td>-0.900</td>\n",
       "      <td>-0.054</td>\n",
       "      <td>-1.586e-15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FLCK216</th>\n",
       "      <td>-25.219</td>\n",
       "      <td>-19.694</td>\n",
       "      <td>-21.351</td>\n",
       "      <td>8.456</td>\n",
       "      <td>20.746</td>\n",
       "      <td>3.235</td>\n",
       "      <td>-6.158</td>\n",
       "      <td>2.458</td>\n",
       "      <td>6.057</td>\n",
       "      <td>-11.410</td>\n",
       "      <td>...</td>\n",
       "      <td>-1.026</td>\n",
       "      <td>-4.151</td>\n",
       "      <td>0.246</td>\n",
       "      <td>-0.832</td>\n",
       "      <td>-1.569</td>\n",
       "      <td>-0.220</td>\n",
       "      <td>-0.991</td>\n",
       "      <td>0.159</td>\n",
       "      <td>-0.406</td>\n",
       "      <td>8.143e-15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FLMO62</th>\n",
       "      <td>-24.339</td>\n",
       "      <td>-17.004</td>\n",
       "      <td>-18.577</td>\n",
       "      <td>10.045</td>\n",
       "      <td>21.703</td>\n",
       "      <td>2.052</td>\n",
       "      <td>-2.756</td>\n",
       "      <td>7.499</td>\n",
       "      <td>-2.931</td>\n",
       "      <td>6.725</td>\n",
       "      <td>...</td>\n",
       "      <td>-2.491</td>\n",
       "      <td>3.808</td>\n",
       "      <td>0.269</td>\n",
       "      <td>0.365</td>\n",
       "      <td>-0.727</td>\n",
       "      <td>-0.144</td>\n",
       "      <td>0.970</td>\n",
       "      <td>0.575</td>\n",
       "      <td>0.632</td>\n",
       "      <td>1.325e-15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FLSA185</th>\n",
       "      <td>-23.002</td>\n",
       "      <td>-14.798</td>\n",
       "      <td>-21.469</td>\n",
       "      <td>14.032</td>\n",
       "      <td>55.138</td>\n",
       "      <td>13.869</td>\n",
       "      <td>-1.326</td>\n",
       "      <td>15.814</td>\n",
       "      <td>-4.724</td>\n",
       "      <td>4.430</td>\n",
       "      <td>...</td>\n",
       "      <td>0.218</td>\n",
       "      <td>0.192</td>\n",
       "      <td>-0.342</td>\n",
       "      <td>-0.226</td>\n",
       "      <td>1.249</td>\n",
       "      <td>-0.003</td>\n",
       "      <td>0.303</td>\n",
       "      <td>0.127</td>\n",
       "      <td>-0.266</td>\n",
       "      <td>5.993e-16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FLSF33</th>\n",
       "      <td>-29.098</td>\n",
       "      <td>-20.067</td>\n",
       "      <td>28.700</td>\n",
       "      <td>-18.672</td>\n",
       "      <td>1.083</td>\n",
       "      <td>-1.706</td>\n",
       "      <td>-6.625</td>\n",
       "      <td>-2.339</td>\n",
       "      <td>-4.928</td>\n",
       "      <td>-1.446</td>\n",
       "      <td>...</td>\n",
       "      <td>-9.273</td>\n",
       "      <td>40.859</td>\n",
       "      <td>1.740</td>\n",
       "      <td>-7.499</td>\n",
       "      <td>-2.054</td>\n",
       "      <td>-1.543</td>\n",
       "      <td>0.060</td>\n",
       "      <td>0.526</td>\n",
       "      <td>0.382</td>\n",
       "      <td>1.520e-14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FLSF47</th>\n",
       "      <td>-25.578</td>\n",
       "      <td>-21.277</td>\n",
       "      <td>-17.202</td>\n",
       "      <td>6.783</td>\n",
       "      <td>0.406</td>\n",
       "      <td>-5.679</td>\n",
       "      <td>0.162</td>\n",
       "      <td>-5.437</td>\n",
       "      <td>-10.473</td>\n",
       "      <td>4.616</td>\n",
       "      <td>...</td>\n",
       "      <td>1.728</td>\n",
       "      <td>-2.037</td>\n",
       "      <td>0.717</td>\n",
       "      <td>-1.482</td>\n",
       "      <td>-4.525</td>\n",
       "      <td>2.779</td>\n",
       "      <td>-1.255</td>\n",
       "      <td>-0.620</td>\n",
       "      <td>0.816</td>\n",
       "      <td>3.046e-15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FLSF54</th>\n",
       "      <td>-26.729</td>\n",
       "      <td>-23.262</td>\n",
       "      <td>-15.358</td>\n",
       "      <td>3.753</td>\n",
       "      <td>-16.081</td>\n",
       "      <td>-7.160</td>\n",
       "      <td>2.704</td>\n",
       "      <td>-7.128</td>\n",
       "      <td>1.987</td>\n",
       "      <td>-1.853</td>\n",
       "      <td>...</td>\n",
       "      <td>2.786</td>\n",
       "      <td>2.569</td>\n",
       "      <td>1.066</td>\n",
       "      <td>7.329</td>\n",
       "      <td>53.344</td>\n",
       "      <td>0.025</td>\n",
       "      <td>0.218</td>\n",
       "      <td>0.002</td>\n",
       "      <td>-0.061</td>\n",
       "      <td>4.989e-15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FLWO6</th>\n",
       "      <td>-27.152</td>\n",
       "      <td>-23.355</td>\n",
       "      <td>-17.863</td>\n",
       "      <td>5.182</td>\n",
       "      <td>-25.241</td>\n",
       "      <td>-11.059</td>\n",
       "      <td>3.364</td>\n",
       "      <td>-13.860</td>\n",
       "      <td>8.296</td>\n",
       "      <td>-4.614</td>\n",
       "      <td>...</td>\n",
       "      <td>4.424</td>\n",
       "      <td>-1.943</td>\n",
       "      <td>-0.669</td>\n",
       "      <td>-6.099</td>\n",
       "      <td>-8.897</td>\n",
       "      <td>-0.303</td>\n",
       "      <td>0.600</td>\n",
       "      <td>-0.089</td>\n",
       "      <td>-0.744</td>\n",
       "      <td>5.412e-16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HNDA09</th>\n",
       "      <td>63.228</td>\n",
       "      <td>-9.392</td>\n",
       "      <td>1.370</td>\n",
       "      <td>-0.739</td>\n",
       "      <td>8.133</td>\n",
       "      <td>-14.948</td>\n",
       "      <td>-3.471</td>\n",
       "      <td>-9.066</td>\n",
       "      <td>-0.608</td>\n",
       "      <td>3.730</td>\n",
       "      <td>...</td>\n",
       "      <td>-9.506</td>\n",
       "      <td>-0.481</td>\n",
       "      <td>-37.978</td>\n",
       "      <td>0.261</td>\n",
       "      <td>2.431</td>\n",
       "      <td>-3.157</td>\n",
       "      <td>-33.027</td>\n",
       "      <td>2.726</td>\n",
       "      <td>-1.791</td>\n",
       "      <td>6.453e-15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LALC2</th>\n",
       "      <td>-27.999</td>\n",
       "      <td>-20.481</td>\n",
       "      <td>26.148</td>\n",
       "      <td>-17.820</td>\n",
       "      <td>1.279</td>\n",
       "      <td>-2.240</td>\n",
       "      <td>-1.612</td>\n",
       "      <td>-0.461</td>\n",
       "      <td>-1.580</td>\n",
       "      <td>0.043</td>\n",
       "      <td>...</td>\n",
       "      <td>8.728</td>\n",
       "      <td>-39.895</td>\n",
       "      <td>-2.325</td>\n",
       "      <td>-32.678</td>\n",
       "      <td>2.609</td>\n",
       "      <td>-0.370</td>\n",
       "      <td>0.287</td>\n",
       "      <td>-0.300</td>\n",
       "      <td>-0.307</td>\n",
       "      <td>6.276e-15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MXED8</th>\n",
       "      <td>-0.865</td>\n",
       "      <td>37.463</td>\n",
       "      <td>17.114</td>\n",
       "      <td>34.215</td>\n",
       "      <td>-2.978</td>\n",
       "      <td>-1.335</td>\n",
       "      <td>10.300</td>\n",
       "      <td>8.005</td>\n",
       "      <td>3.227</td>\n",
       "      <td>-28.786</td>\n",
       "      <td>...</td>\n",
       "      <td>-5.141</td>\n",
       "      <td>-3.268</td>\n",
       "      <td>-1.844</td>\n",
       "      <td>-2.208</td>\n",
       "      <td>-1.518</td>\n",
       "      <td>-0.215</td>\n",
       "      <td>-0.886</td>\n",
       "      <td>0.676</td>\n",
       "      <td>-0.322</td>\n",
       "      <td>1.025e-14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MXGT4</th>\n",
       "      <td>-6.112</td>\n",
       "      <td>44.646</td>\n",
       "      <td>17.533</td>\n",
       "      <td>29.862</td>\n",
       "      <td>-4.557</td>\n",
       "      <td>2.026</td>\n",
       "      <td>6.206</td>\n",
       "      <td>6.791</td>\n",
       "      <td>8.412</td>\n",
       "      <td>-22.120</td>\n",
       "      <td>...</td>\n",
       "      <td>-6.112</td>\n",
       "      <td>0.630</td>\n",
       "      <td>-2.181</td>\n",
       "      <td>2.240</td>\n",
       "      <td>1.766</td>\n",
       "      <td>1.183</td>\n",
       "      <td>-1.157</td>\n",
       "      <td>-0.528</td>\n",
       "      <td>0.432</td>\n",
       "      <td>1.382e-14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MXSA3017</th>\n",
       "      <td>53.256</td>\n",
       "      <td>-7.713</td>\n",
       "      <td>3.466</td>\n",
       "      <td>2.372</td>\n",
       "      <td>12.366</td>\n",
       "      <td>-18.793</td>\n",
       "      <td>-1.507</td>\n",
       "      <td>-10.907</td>\n",
       "      <td>6.243</td>\n",
       "      <td>-4.876</td>\n",
       "      <td>...</td>\n",
       "      <td>52.928</td>\n",
       "      <td>10.552</td>\n",
       "      <td>6.829</td>\n",
       "      <td>2.753</td>\n",
       "      <td>-4.458</td>\n",
       "      <td>-0.931</td>\n",
       "      <td>2.271</td>\n",
       "      <td>-0.021</td>\n",
       "      <td>-1.213</td>\n",
       "      <td>5.627e-15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SCCU3</th>\n",
       "      <td>-26.268</td>\n",
       "      <td>-17.772</td>\n",
       "      <td>34.307</td>\n",
       "      <td>-26.482</td>\n",
       "      <td>6.734</td>\n",
       "      <td>8.784</td>\n",
       "      <td>-32.502</td>\n",
       "      <td>-6.384</td>\n",
       "      <td>2.695</td>\n",
       "      <td>-13.612</td>\n",
       "      <td>...</td>\n",
       "      <td>-2.683</td>\n",
       "      <td>8.748</td>\n",
       "      <td>-0.858</td>\n",
       "      <td>-6.687</td>\n",
       "      <td>1.802</td>\n",
       "      <td>-0.599</td>\n",
       "      <td>-0.454</td>\n",
       "      <td>-0.106</td>\n",
       "      <td>0.195</td>\n",
       "      <td>6.228e-16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TXGR3</th>\n",
       "      <td>-11.573</td>\n",
       "      <td>29.699</td>\n",
       "      <td>25.049</td>\n",
       "      <td>30.186</td>\n",
       "      <td>-8.234</td>\n",
       "      <td>5.636</td>\n",
       "      <td>-9.980</td>\n",
       "      <td>-4.686</td>\n",
       "      <td>-9.879</td>\n",
       "      <td>56.818</td>\n",
       "      <td>...</td>\n",
       "      <td>2.577</td>\n",
       "      <td>-0.045</td>\n",
       "      <td>0.119</td>\n",
       "      <td>-0.108</td>\n",
       "      <td>0.866</td>\n",
       "      <td>0.746</td>\n",
       "      <td>0.604</td>\n",
       "      <td>-0.698</td>\n",
       "      <td>0.366</td>\n",
       "      <td>-1.291e-15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TXMD3</th>\n",
       "      <td>-13.722</td>\n",
       "      <td>28.559</td>\n",
       "      <td>25.621</td>\n",
       "      <td>30.245</td>\n",
       "      <td>-3.552</td>\n",
       "      <td>3.446</td>\n",
       "      <td>-5.903</td>\n",
       "      <td>-3.708</td>\n",
       "      <td>-0.026</td>\n",
       "      <td>-5.823</td>\n",
       "      <td>...</td>\n",
       "      <td>6.395</td>\n",
       "      <td>2.715</td>\n",
       "      <td>1.365</td>\n",
       "      <td>-0.384</td>\n",
       "      <td>-1.193</td>\n",
       "      <td>-0.126</td>\n",
       "      <td>1.150</td>\n",
       "      <td>-0.409</td>\n",
       "      <td>-0.478</td>\n",
       "      <td>-3.965e-14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TXWV2</th>\n",
       "      <td>-15.595</td>\n",
       "      <td>-9.321</td>\n",
       "      <td>23.495</td>\n",
       "      <td>-20.767</td>\n",
       "      <td>8.781</td>\n",
       "      <td>-13.396</td>\n",
       "      <td>63.757</td>\n",
       "      <td>13.482</td>\n",
       "      <td>1.209</td>\n",
       "      <td>10.009</td>\n",
       "      <td>...</td>\n",
       "      <td>-1.541</td>\n",
       "      <td>5.421</td>\n",
       "      <td>0.710</td>\n",
       "      <td>0.646</td>\n",
       "      <td>-0.936</td>\n",
       "      <td>-1.173</td>\n",
       "      <td>-0.021</td>\n",
       "      <td>0.352</td>\n",
       "      <td>0.178</td>\n",
       "      <td>-4.576e-14</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>28 rows × 28 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              0       1       2       3       4       5       6       7   \\\n",
       "BJSB3     -4.610  74.151 -18.954 -26.073   0.587   0.241  -1.056  -2.311   \n",
       "BJSL25    -4.897  70.815 -17.631 -22.660  -0.514  -0.194  -3.377  -1.688   \n",
       "BJVL19    -5.211  70.611 -19.109 -23.022   0.183  -0.428  -2.558  -1.428   \n",
       "BZBB1     59.008  -7.891   3.739   1.181   9.771 -21.487  -5.505 -10.850   \n",
       "CRL0001   48.873 -14.312  -3.244  -1.591  -4.756  24.637   7.354 -10.712   \n",
       "CRL0030   65.379 -10.158   1.379   0.016   7.581 -12.391  -2.594  -8.762   \n",
       "CUCA4     28.689 -17.756  -5.968  -4.747 -25.342 -13.972 -15.904  60.494   \n",
       "CUSV6     25.507 -18.772  -5.325  -5.905 -13.657  25.755  -3.049  23.135   \n",
       "CUVN10    36.071 -18.435  -5.100  -3.779 -13.754  53.098  14.693 -10.917   \n",
       "FLAB109  -27.347 -23.411 -22.541   6.585 -17.245  -6.095   3.553 -13.351   \n",
       "FLBA140  -27.255 -18.524  24.450 -17.597   1.065   1.099  -6.548  -4.178   \n",
       "FLCK18   -27.442 -22.547 -22.679   6.941 -19.645 -12.994   0.340  -9.506   \n",
       "FLCK216  -25.219 -19.694 -21.351   8.456  20.746   3.235  -6.158   2.458   \n",
       "FLMO62   -24.339 -17.004 -18.577  10.045  21.703   2.052  -2.756   7.499   \n",
       "FLSA185  -23.002 -14.798 -21.469  14.032  55.138  13.869  -1.326  15.814   \n",
       "FLSF33   -29.098 -20.067  28.700 -18.672   1.083  -1.706  -6.625  -2.339   \n",
       "FLSF47   -25.578 -21.277 -17.202   6.783   0.406  -5.679   0.162  -5.437   \n",
       "FLSF54   -26.729 -23.262 -15.358   3.753 -16.081  -7.160   2.704  -7.128   \n",
       "FLWO6    -27.152 -23.355 -17.863   5.182 -25.241 -11.059   3.364 -13.860   \n",
       "HNDA09    63.228  -9.392   1.370  -0.739   8.133 -14.948  -3.471  -9.066   \n",
       "LALC2    -27.999 -20.481  26.148 -17.820   1.279  -2.240  -1.612  -0.461   \n",
       "MXED8     -0.865  37.463  17.114  34.215  -2.978  -1.335  10.300   8.005   \n",
       "MXGT4     -6.112  44.646  17.533  29.862  -4.557   2.026   6.206   6.791   \n",
       "MXSA3017  53.256  -7.713   3.466   2.372  12.366 -18.793  -1.507 -10.907   \n",
       "SCCU3    -26.268 -17.772  34.307 -26.482   6.734   8.784 -32.502  -6.384   \n",
       "TXGR3    -11.573  29.699  25.049  30.186  -8.234   5.636  -9.980  -4.686   \n",
       "TXMD3    -13.722  28.559  25.621  30.245  -3.552   3.446  -5.903  -3.708   \n",
       "TXWV2    -15.595  -9.321  23.495 -20.767   8.781 -13.396  63.757  13.482   \n",
       "\n",
       "              8       9   ...      18      19      20      21      22      23  \\\n",
       "BJSB3     -1.129   0.826  ...   1.739   1.861  -0.803  -2.532   0.292  45.451   \n",
       "BJSL25    -0.420   2.316  ...   0.284  -1.698   2.079   0.757   0.322 -17.017   \n",
       "BJVL19    -0.932   1.365  ...  -0.139  -0.828  -0.356   0.900  -0.154 -31.057   \n",
       "BZBB1      4.033   2.517  ... -23.674  -7.355  44.886  -0.201   0.726   0.436   \n",
       "CRL0001  -12.492  -3.943  ...  -2.002  -0.992  -1.080  -1.470   0.523  -0.487   \n",
       "CRL0030    0.429   1.645  ... -16.870  -1.965 -15.548  -1.647   2.670   3.929   \n",
       "CUCA4    -27.650  -2.318  ...   3.390   0.035   1.886   1.354  -1.875   0.528   \n",
       "CUSV6     60.079  13.485  ...  -0.083   1.558   0.302  -0.601  -1.812   0.539   \n",
       "CUVN10   -24.551  -6.453  ...   4.404   0.415   7.293  -0.120  -0.499  -0.757   \n",
       "FLAB109    0.285  -0.432  ...  -9.764   2.632  -4.347  -0.406 -20.536  -0.271   \n",
       "FLBA140   -0.478  -2.337  ...   0.620 -20.521  -2.257  49.330  -7.602   2.767   \n",
       "FLCK18    -0.153   1.499  ...   0.083   3.186   1.081  -0.757 -10.247  -0.010   \n",
       "FLCK216    6.057 -11.410  ...  -1.026  -4.151   0.246  -0.832  -1.569  -0.220   \n",
       "FLMO62    -2.931   6.725  ...  -2.491   3.808   0.269   0.365  -0.727  -0.144   \n",
       "FLSA185   -4.724   4.430  ...   0.218   0.192  -0.342  -0.226   1.249  -0.003   \n",
       "FLSF33    -4.928  -1.446  ...  -9.273  40.859   1.740  -7.499  -2.054  -1.543   \n",
       "FLSF47   -10.473   4.616  ...   1.728  -2.037   0.717  -1.482  -4.525   2.779   \n",
       "FLSF54     1.987  -1.853  ...   2.786   2.569   1.066   7.329  53.344   0.025   \n",
       "FLWO6      8.296  -4.614  ...   4.424  -1.943  -0.669  -6.099  -8.897  -0.303   \n",
       "HNDA09    -0.608   3.730  ...  -9.506  -0.481 -37.978   0.261   2.431  -3.157   \n",
       "LALC2     -1.580   0.043  ...   8.728 -39.895  -2.325 -32.678   2.609  -0.370   \n",
       "MXED8      3.227 -28.786  ...  -5.141  -3.268  -1.844  -2.208  -1.518  -0.215   \n",
       "MXGT4      8.412 -22.120  ...  -6.112   0.630  -2.181   2.240   1.766   1.183   \n",
       "MXSA3017   6.243  -4.876  ...  52.928  10.552   6.829   2.753  -4.458  -0.931   \n",
       "SCCU3      2.695 -13.612  ...  -2.683   8.748  -0.858  -6.687   1.802  -0.599   \n",
       "TXGR3     -9.879  56.818  ...   2.577  -0.045   0.119  -0.108   0.866   0.746   \n",
       "TXMD3     -0.026  -5.823  ...   6.395   2.715   1.365  -0.384  -1.193  -0.126   \n",
       "TXWV2      1.209  10.009  ...  -1.541   5.421   0.710   0.646  -0.936  -1.173   \n",
       "\n",
       "              24      25      26         27  \n",
       "BJSB3     -3.763  -6.647   0.511  5.150e-15  \n",
       "BJSL25     4.234  39.465  -0.777 -3.872e-15  \n",
       "BJVL19     0.534 -32.138   0.011  5.343e-15  \n",
       "BZBB1    -12.788  -0.580  -1.093  1.349e-14  \n",
       "CRL0001    7.434   0.335  35.415  1.801e-14  \n",
       "CRL0030   41.397  -2.348 -11.342  1.248e-14  \n",
       "CUCA4      0.130  -0.005   0.234 -5.325e-15  \n",
       "CUSV6     -1.068  -0.345  -0.248  7.175e-15  \n",
       "CUVN10    -6.956  -0.045 -20.352  1.455e-14  \n",
       "FLAB109    1.277   1.406  -0.214  5.870e-15  \n",
       "FLBA140    1.443  -0.570   0.496  6.641e-15  \n",
       "FLCK18    -0.548  -0.900  -0.054 -1.586e-15  \n",
       "FLCK216   -0.991   0.159  -0.406  8.143e-15  \n",
       "FLMO62     0.970   0.575   0.632  1.325e-15  \n",
       "FLSA185    0.303   0.127  -0.266  5.993e-16  \n",
       "FLSF33     0.060   0.526   0.382  1.520e-14  \n",
       "FLSF47    -1.255  -0.620   0.816  3.046e-15  \n",
       "FLSF54     0.218   0.002  -0.061  4.989e-15  \n",
       "FLWO6      0.600  -0.089  -0.744  5.412e-16  \n",
       "HNDA09   -33.027   2.726  -1.791  6.453e-15  \n",
       "LALC2      0.287  -0.300  -0.307  6.276e-15  \n",
       "MXED8     -0.886   0.676  -0.322  1.025e-14  \n",
       "MXGT4     -1.157  -0.528   0.432  1.382e-14  \n",
       "MXSA3017   2.271  -0.021  -1.213  5.627e-15  \n",
       "SCCU3     -0.454  -0.106   0.195  6.228e-16  \n",
       "TXGR3      0.604  -0.698   0.366 -1.291e-15  \n",
       "TXMD3      1.150  -0.409  -0.478 -3.965e-14  \n",
       "TXWV2     -0.021   0.352   0.178 -4.576e-14  \n",
       "\n",
       "[28 rows x 28 columns]"
      ]
     },
     "execution_count": 74,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# PC loadings in the first replicate\n",
    "tool.pcs(0)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Styling plots (see toyplot documentation)\n",
    "The `.draw()` function returns a canvas and axes object from toyplot which can be further modified and styled."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
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class=\"toyplot-Datum\" style=\"fill:rgb(33.2%,68.5%,67.8%);fill-opacity:0.09;opacity:1.0;stroke:none\" transform=\"translate(59.05185730129753, 226.95007187449056)\"><circle r=\"4.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(33.2%,68.5%,67.8%);fill-opacity:0.09;opacity:1.0;stroke:none\" transform=\"translate(60.29373622521101, 221.64588139451917)\"><circle r=\"4.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(33.2%,68.5%,67.8%);fill-opacity:0.09;opacity:1.0;stroke:none\" transform=\"translate(65.90760079611907, 218.18377909342615)\"><circle r=\"4.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(36.9%,31%,63.5%);fill-opacity:0.09;opacity:1.0;stroke:none\" transform=\"translate(50.0, 227.6737469806992)\"><circle r=\"4.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(33.2%,68.5%,67.8%);fill-opacity:0.09;opacity:1.0;stroke:none\" transform=\"translate(57.454784434143406, 229.18366953620009)\"><circle r=\"4.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(74.8%,89.8%,62.7%);fill-opacity:0.09;opacity:1.0;stroke:none\" transform=\"translate(53.672370856781924, 233.69809214077313)\"><circle r=\"4.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(74.8%,89.8%,62.7%);fill-opacity:0.09;opacity:1.0;stroke:none\" transform=\"translate(52.976945975048785, 236.07621808525786)\"><circle r=\"4.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(62%,0.4%,25.9%);fill-opacity:0.09;opacity:1.0;stroke:none\" transform=\"translate(254.35015122843154, 240.2048808952828)\"><circle r=\"4.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(36.9%,31%,63.5%);fill-opacity:0.09;opacity:1.0;stroke:none\" transform=\"translate(53.67663336897598, 226.94266042044478)\"><circle r=\"4.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(99.3%,74.8%,43.5%);fill-opacity:0.09;opacity:1.0;stroke:none\" transform=\"translate(135.17977981082828, 125.24534237804403)\"><circle r=\"4.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(99.3%,74.8%,43.5%);fill-opacity:0.09;opacity:1.0;stroke:none\" transform=\"translate(127.51607545325484, 110.19685275935828)\"><circle r=\"4.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(62%,0.4%,25.9%);fill-opacity:0.09;opacity:1.0;stroke:none\" transform=\"translate(234.18206942960393, 233.0399159851825)\"><circle r=\"4.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(36.9%,31%,63.5%);fill-opacity:0.09;opacity:1.0;stroke:none\" transform=\"translate(56.92006253391561, 225.05997275250314)\"><circle r=\"4.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(99.3%,74.8%,43.5%);fill-opacity:0.09;opacity:1.0;stroke:none\" transform=\"translate(108.39705293869042, 138.13540026841446)\"><circle r=\"4.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(99.3%,74.8%,43.5%);fill-opacity:0.09;opacity:1.0;stroke:none\" transform=\"translate(104.58605693585689, 140.1910888343662)\"><circle r=\"4.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(36.9%,31%,63.5%);fill-opacity:0.09;opacity:1.0;stroke:none\" transform=\"translate(83.61496787048706, 210.6890630596804)\"><circle r=\"4.0\"></circle></g></g></g><g class=\"toyplot-mark-Point\" id=\"t69ace96a3a344205a908fba132548f6d\"><g class=\"toyplot-Series\"><g class=\"toyplot-Datum\" style=\"fill:rgb(100%,100%,74.9%);fill-opacity:0.75;opacity:1.0;stroke:rgb(14.9%,14.9%,14.9%);stroke-opacity:1.0;stroke-width:1.5\" transform=\"translate(118.71289858207732, 51.49460530937557)\"><title>BJSB3</title><circle r=\"4.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(100%,100%,74.9%);fill-opacity:0.75;opacity:1.0;stroke:rgb(14.9%,14.9%,14.9%);stroke-opacity:1.0;stroke-width:1.5\" transform=\"translate(118.3545425288898, 58.810117943782835)\"><title>BJSL25</title><circle r=\"4.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(100%,100%,74.9%);fill-opacity:0.75;opacity:1.0;stroke:rgb(14.9%,14.9%,14.9%);stroke-opacity:1.0;stroke-width:1.5\" transform=\"translate(117.83720548316111, 58.644614393388906)\"><title>BJVL19</title><circle r=\"4.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(62%,0.4%,25.9%);fill-opacity:0.75;opacity:1.0;stroke:rgb(14.9%,14.9%,14.9%);stroke-opacity:1.0;stroke-width:1.5\" transform=\"translate(254.03391971363556, 220.36592603908565)\"><title>BZBB1</title><circle r=\"4.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(62%,0.4%,25.9%);fill-opacity:0.75;opacity:1.0;stroke:rgb(14.9%,14.9%,14.9%);stroke-opacity:1.0;stroke-width:1.5\" transform=\"translate(229.35925150170758, 231.80175930537416)\"><title>CRL0001</title><circle r=\"4.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(62%,0.4%,25.9%);fill-opacity:0.75;opacity:1.0;stroke:rgb(14.9%,14.9%,14.9%);stroke-opacity:1.0;stroke-width:1.5\" transform=\"translate(265.650742483354, 223.01430713198422)\"><title>CRL0030</title><circle r=\"4.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(91.6%,36.6%,27.8%);fill-opacity:0.75;opacity:1.0;stroke:rgb(14.9%,14.9%,14.9%);stroke-opacity:1.0;stroke-width:1.5\" transform=\"translate(183.1208200648088, 236.9888919103207)\"><title>CUCA4</title><circle r=\"4.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(91.6%,36.6%,27.8%);fill-opacity:0.75;opacity:1.0;stroke:rgb(14.9%,14.9%,14.9%);stroke-opacity:1.0;stroke-width:1.5\" transform=\"translate(175.0579519797971, 237.7283405810374)\"><title>CUSV6</title><circle r=\"4.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(91.6%,36.6%,27.8%);fill-opacity:0.75;opacity:1.0;stroke:rgb(14.9%,14.9%,14.9%);stroke-opacity:1.0;stroke-width:1.5\" transform=\"translate(200.94151242621945, 238.86363838860376)\"><title>CUVN10</title><circle r=\"4.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(74.8%,89.8%,62.7%);fill-opacity:0.75;opacity:1.0;stroke:rgb(14.9%,14.9%,14.9%);stroke-opacity:1.0;stroke-width:1.5\" transform=\"translate(58.06147885313305, 242.91259661869063)\"><title>FLAB109</title><circle r=\"4.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(36.9%,31%,63.5%);fill-opacity:0.75;opacity:1.0;stroke:rgb(14.9%,14.9%,14.9%);stroke-opacity:1.0;stroke-width:1.5\" transform=\"translate(58.49689507177247, 233.63451275978215)\"><title>FLBA140</title><circle r=\"4.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(74.8%,89.8%,62.7%);fill-opacity:0.75;opacity:1.0;stroke:rgb(14.9%,14.9%,14.9%);stroke-opacity:1.0;stroke-width:1.5\" transform=\"translate(58.4096574587701, 240.8807145086891)\"><title>FLCK18</title><circle r=\"4.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(33.2%,68.5%,67.8%);fill-opacity:0.75;opacity:1.0;stroke:rgb(14.9%,14.9%,14.9%);stroke-opacity:1.0;stroke-width:1.5\" transform=\"translate(64.16324656810758, 235.39033817396566)\"><title>FLCK216</title><circle r=\"4.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(33.2%,68.5%,67.8%);fill-opacity:0.75;opacity:1.0;stroke:rgb(14.9%,14.9%,14.9%);stroke-opacity:1.0;stroke-width:1.5\" transform=\"translate(65.97149985572612, 229.26707557879288)\"><title>FLMO62</title><circle r=\"4.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(33.2%,68.5%,67.8%);fill-opacity:0.75;opacity:1.0;stroke:rgb(14.9%,14.9%,14.9%);stroke-opacity:1.0;stroke-width:1.5\" transform=\"translate(69.6964735552338, 226.48258124596046)\"><title>FLSA185</title><circle r=\"4.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(36.9%,31%,63.5%);fill-opacity:0.75;opacity:1.0;stroke:rgb(14.9%,14.9%,14.9%);stroke-opacity:1.0;stroke-width:1.5\" transform=\"translate(55.786579681212864, 236.48668174461258)\"><title>FLSF33</title><circle r=\"4.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(33.2%,68.5%,67.8%);fill-opacity:0.75;opacity:1.0;stroke:rgb(14.9%,14.9%,14.9%);stroke-opacity:1.0;stroke-width:1.5\" transform=\"translate(62.291077148068425, 237.77531267111766)\"><title>FLSF47</title><circle r=\"4.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(74.8%,89.8%,62.7%);fill-opacity:0.75;opacity:1.0;stroke:rgb(14.9%,14.9%,14.9%);stroke-opacity:1.0;stroke-width:1.5\" transform=\"translate(59.933715414051704, 242.2874640877866)\"><title>FLSF54</title><circle r=\"4.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(74.8%,89.8%,62.7%);fill-opacity:0.75;opacity:1.0;stroke:rgb(14.9%,14.9%,14.9%);stroke-opacity:1.0;stroke-width:1.5\" transform=\"translate(59.27734234443297, 242.51240812988001)\"><title>FLWO6</title><circle r=\"4.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(62%,0.4%,25.9%);fill-opacity:0.75;opacity:1.0;stroke:rgb(14.9%,14.9%,14.9%);stroke-opacity:1.0;stroke-width:1.5\" transform=\"translate(261.3452769022091, 222.68316276995282)\"><title>HNDA09</title><circle r=\"4.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(36.9%,31%,63.5%);fill-opacity:0.75;opacity:1.0;stroke:rgb(14.9%,14.9%,14.9%);stroke-opacity:1.0;stroke-width:1.5\" transform=\"translate(58.50175146451305, 236.2334026649885)\"><title>LALC2</title><circle r=\"4.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(99.3%,74.8%,43.5%);fill-opacity:0.75;opacity:1.0;stroke:rgb(14.9%,14.9%,14.9%);stroke-opacity:1.0;stroke-width:1.5\" transform=\"translate(123.05225955669954, 124.43946142781888)\"><title>MXED8</title><circle r=\"4.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(99.3%,74.8%,43.5%);fill-opacity:0.75;opacity:1.0;stroke:rgb(14.9%,14.9%,14.9%);stroke-opacity:1.0;stroke-width:1.5\" transform=\"translate(112.7022512563913, 109.41751731778572)\"><title>MXGT4</title><circle r=\"4.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(62%,0.4%,25.9%);fill-opacity:0.75;opacity:1.0;stroke:rgb(14.9%,14.9%,14.9%);stroke-opacity:1.0;stroke-width:1.5\" transform=\"translate(238.84221301191073, 218.04331866049657)\"><title>MXSA3017</title><circle r=\"4.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(36.9%,31%,63.5%);fill-opacity:0.75;opacity:1.0;stroke:rgb(14.9%,14.9%,14.9%);stroke-opacity:1.0;stroke-width:1.5\" transform=\"translate(62.147195309259004, 232.5218687412774)\"><title>SCCU3</title><circle r=\"4.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(99.3%,74.8%,43.5%);fill-opacity:0.75;opacity:1.0;stroke:rgb(14.9%,14.9%,14.9%);stroke-opacity:1.0;stroke-width:1.5\" transform=\"translate(99.28239265469793, 139.65284682718433)\"><title>TXGR3</title><circle r=\"4.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(99.3%,74.8%,43.5%);fill-opacity:0.75;opacity:1.0;stroke:rgb(14.9%,14.9%,14.9%);stroke-opacity:1.0;stroke-width:1.5\" transform=\"translate(94.88048800335528, 142.39853681904538)\"><title>TXMD3</title><circle r=\"4.0\"></circle></g><g class=\"toyplot-Datum\" style=\"fill:rgb(36.9%,31%,63.5%);fill-opacity:0.75;opacity:1.0;stroke:rgb(14.9%,14.9%,14.9%);stroke-opacity:1.0;stroke-width:1.5\" transform=\"translate(86.03564046114012, 214.29327338911887)\"><title>TXWV2</title><circle r=\"4.0\"></circle></g></g></g></g><g class=\"toyplot-coordinates-Axis\" id=\"t3015b920a291445f9afecc2f2fd4b16c\" transform=\"translate(50.0,250.0)translate(0,10.0)\"><line style=\"stroke-width:1.5\" x1=\"0\" x2=\"220.0\" y1=\"0\" y2=\"0\"></line><g><line style=\"\" x1=\"4.73974764298157\" x2=\"4.73974764298157\" y1=\"0\" y2=\"-5\"></line><line style=\"\" x1=\"71.85522426194056\" x2=\"71.85522426194056\" y1=\"0\" y2=\"-5\"></line><line style=\"\" x1=\"138.97070088089956\" x2=\"138.97070088089956\" y1=\"0\" y2=\"-5\"></line><line style=\"\" x1=\"206.08617749985856\" x2=\"206.08617749985856\" y1=\"0\" y2=\"-5\"></line></g><g><g transform=\"translate(4.73974764298157,6)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:13.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-9.3925\" y=\"11.1215\">-30</text></g><g transform=\"translate(71.85522426194056,6)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:13.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-3.6140000000000003\" y=\"11.1215\">0</text></g><g transform=\"translate(138.97070088089956,6)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:13.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-7.228000000000001\" y=\"11.1215\">30</text></g><g transform=\"translate(206.08617749985856,6)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:13.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-7.228000000000001\" y=\"11.1215\">60</text></g></g><g transform=\"translate(110.0,22.0)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:15.0px;font-weight:bold;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-79.6125\" y=\"12.8325\">PC0 (15.9%) explained</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 class=\"toyplot-coordinates-Axis\" id=\"t7b3026a74a3348288ec887ad6caf0231\" transform=\"translate(50.0,250.0)rotate(-90.0)translate(0,-10.0)\"><line style=\"stroke-width:2.25\" x1=\"0\" x2=\"199.72561588542547\" y1=\"0\" y2=\"0\"></line><g><g transform=\"translate(1.6654630885762154,-6)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-8.67\" y=\"0.0\">-25</text></g><g transform=\"translate(51.24909731643217,-6)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-3.3360000000000003\" y=\"0.0\">0</text></g><g transform=\"translate(100.83273154428811,-6)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-6.672000000000001\" y=\"0.0\">25</text></g><g transform=\"translate(150.41636577214405,-6)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-6.672000000000001\" y=\"0.0\">50</text></g><g transform=\"translate(200.0,-6)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-6.672000000000001\" y=\"0.0\">75</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:14.0px;font-weight:bold;stroke:none;vertical-align:baseline;white-space:pre\" x=\"-74.30499999999999\" y=\"0.0\">PC1 (15.1%) explained</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:hanging;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-Table\" id=\"t17f4199ce28e4f60bc5bdc2851db4eda\"><g transform=\"translate(310.0,75.0)\"><g style=\"fill:rgb(36.9%,31%,63.5%);fill-opacity:0.75;stroke:rgb(14.9%,14.9%,14.9%);stroke-opacity:1.0;stroke-width:1.5\" transform=\"translate(-5.55, -4.440892098500626e-16)\"><circle r=\"4.0\"></circle></g></g><g transform=\"translate(320.0,75.0)\"><text style=\"fill:rgb(16.1%,15.3%,14.1%);fill-opacity:1.0;font-family:helvetica;font-size:12.0px;font-weight:normal;stroke:none;vertical-align:baseline;white-space:pre\" x=\"0\" y=\"3.066\">virg</text></g><g transform=\"translate(310.0,100.0)\"><g style=\"fill:rgb(33.2%,68.5%,67.8%);fill-opacity:0.75;stroke:rgb(14.9%,14.9%,14.9%);stroke-opacity:1.0;stroke-width:1.5\" transform=\"translate(-5.55, 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       "{\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\"] = \"t22221e628f4d439aa9df567ea6428071\";\n",
       "modules[\"toyplot/root\"] = (function(root_id)\n",
       "    {\n",
       "        return document.querySelector(\"#\" + root_id);\n",
       "    })(modules[\"toyplot/root/id\"]);\n",
       "modules[\"toyplot/canvas/id\"] = \"te70e45b27e95410f948a41f42edc4a76\";\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\"],\"t90eef0f95d54411d9ed5eeae78434e21\",\"data\",\"point\",[\"x\", \"y0\"],[[-4.610127750325358, -4.897032188230854, -5.210652395667008, 59.008192192554645, 48.87347525839454, 65.3785478109348, 28.689133625198195, 25.50742383938469, 36.07067194838007, -27.346919598920994, -27.254882347852732, -27.44179045644773, -25.219019311889177, -24.339494315373816, -23.00217928709274, -29.097669860971383, -25.577733153926363, -26.729134876791306, -27.152276655347933, 63.228326259760934, -27.998572714413733, -0.8653215384622438, -6.111563934230512, 53.25614558763018, -26.267820593556806, -11.572611359669466, -13.721879932622791, -15.595234250445131], [74.15054262182838, 70.81470367108803, 70.61064944474462, -7.890818940569352, -14.31247153647793, -10.157801630641256, -17.75576667674344, -18.771769612816435, -18.435439700740318, -23.410650304083166, -18.52440658995212, -22.547132254307826, -19.69352328575764, -17.003790139212306, -14.798079899705932, -20.066990864215352, -21.277158591116127, -23.26229052220017, -23.354526606927855, -9.391939523445874, -20.481201322940453, 37.4626699176883, 44.64556162267543, -7.712722941437888, -17.77210315940494, 29.69895326685749, 28.55895291050561, -9.321449352691499]],\"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\"],\"t0f6446f78275444d8ecd1badb043b64b\",\"data\",\"point\",[\"x\", \"y0\"],[[-11.089187245734252, -11.060352884427575, -11.527331415856638, 60.93133297074647, 49.803388360872866, 65.39909468578519, 29.842471759920446, 26.560157823073997, 38.01600571902808, -25.060515455962914, -25.67900748548877, -24.919381458314607, -23.42365508029597, -23.040538858627063, -22.056285929959742, -26.606054713806277, -24.339901986986916, -24.34667506238108, -25.542094539543488, 64.11799020221366, -25.286826182036357, -4.424924964036719, -10.106610533326446, 53.17338279399298, -24.502440435479063, -13.659248222405436, -16.430125579209534, -14.742666281754786], [73.17218783489146, 69.6384486347577, 69.45471183004955, -3.3185509548364935, -10.110277426605894, -4.201525391433913, -15.849869743200207, -16.386504863263905, -15.676179453344798, -25.58648893708987, -21.23379964601822, -25.196684867887285, -21.46776736920966, -18.617533098511235, -16.59185243448275, -22.657367237098534, -22.758001013443916, -25.197845986296212, -25.839724192524276, -4.33886317723385, -22.484032177822094, 37.91175952950113, 44.60995361048628, -2.7949562489799593, -19.74170314165389, 28.038388671645254, 26.867199891591582, -9.643122641986015]],\"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\"],\"t02bad34e70b4459fbb5853a0127d6c9e\",\"data\",\"point\",[\"x\", \"y0\"],[[-5.501585175434793, -4.797354930113427, -4.9644333348851495, 59.17651240082409, 49.15050534126175, 64.72964029538429, 28.636921864737438, 24.52379976802538, 36.81854420569781, -27.505614651793888, -27.95910524541708, -27.144918002924637, -24.7292963165801, -23.724885032040333, -22.230394414977443, -28.848111262670535, -24.987676378507018, -26.258519069868523, -26.391545318194183, 63.14270541046964, -27.49422649970108, -2.2706466291539593, -6.393277426329369, 52.602513440584175, -25.6996788665699, -11.979343029147808, -13.278133662153282, -16.622397480522064], [73.98883469925674, 71.0924781404512, 70.43190429416981, -8.0350129203455, -14.24583301552057, -9.093740652285335, -17.786234356952345, -18.87971737027347, -18.55485085105459, -23.925051545788023, -19.567014294524203, -22.538228735174304, -20.322564915792984, -16.343484598154802, -15.017862969044929, -21.23645210433261, -21.045928979624207, -23.46370269698109, -22.869258596492028, -8.903006001950258, -20.82802727321983, 37.619257475138284, 45.212251053652096, -7.440086806618477, -18.69155899867006, 29.48911523873148, 28.353212633662363, -7.3994358522623855]],\"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\"],\"t34cb7a17726a47a493546d4c774724d1\",\"data\",\"point\",[\"x\", \"y0\"],[[3.7755184781705395, 4.325821265080253, 3.3077531407135896, 58.84742853010361, 46.46074290462791, 63.42407252878464, 26.012155296424144, 21.60636079389018, 33.73908106120604, -30.823330982601412, -29.512742370842904, -30.5946530752349, -27.25615806394358, -26.19973322415822, -24.343374241968117, -29.74077679219534, -29.025042318578368, -29.91376533615895, -30.691954621024205, 61.60745687270855, -29.15300342432119, 3.663914541808177, -0.9168239403884195, 51.81606906511842, -27.438120219277618, -7.153337231915168, -9.807757199998434, -16.015801436029257], [74.71401907763965, 71.09053360276414, 70.38954893033377, -14.890513309109846, -20.064781753808248, -16.963430208142217, -22.017395434700916, -21.331770469345248, -22.524035225948193, -19.93627906942967, -16.005111139003215, -19.256008799673122, -16.511092253937157, -13.524680650861486, -12.473369131561357, -16.134102284826323, -17.27615156068273, -19.948282315887344, -19.781507258899158, -16.87791200876548, -16.611022472356257, 37.11901299855254, 44.34647980074543, -13.107675484339795, -15.064894350354901, 31.57973043669853, 28.285671921217656, -7.224981586319024]],\"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\"],\"tc637d22e84f748e89c8461a8162db262\",\"data\",\"point\",[\"x\", \"y0\"],[[-4.302052295647097, -4.679542679652327, -4.565848298015097, 58.90174335988286, 48.664807815608796, 64.65224255248158, 29.053363247967702, 24.573734314739205, 35.843528039302115, -28.103868726099506, -28.410218255884782, -27.478128648956528, -24.9233627314909, -24.636860880451, -23.44144198428626, -28.84816600936544, -25.484740593083924, -26.595335429090316, -26.472990953457778, 63.30568045327531, -27.37829084560639, -0.5216965265086178, -6.2432892480224735, 52.52695643534732, -26.205115558682632, -10.999833711964182, -12.417829727014515, -15.813443115325137], [73.44267914919621, 70.28127276407417, 71.04450522127232, -8.949057227555201, -15.139095920520502, -9.653229488762632, -18.32706605242362, -18.641439506247398, -19.544984953394238, -23.538954610630938, -18.861939030749287, -22.647435300455605, -19.257281596305564, -16.513812784580765, -15.54673538500299, -20.13353856908715, -20.544499450384826, -23.190137220389733, -22.578822137038408, -9.88901971720836, -19.685989670251107, 38.277633107013834, 45.599670483440995, -7.291536815165409, -18.1072098515139, 29.989737196081705, 28.110408012953815, -8.704120646365379]],\"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\"],\"t5211e3cb15374803ad7ec184b787b3a9\",\"data\",\"point\",[\"x\", \"y0\"],[[1.0229760497338496, 1.3053084121460712, 0.8356926190529742, 59.458641079460804, 47.72259964445879, 64.10383682301061, 26.40166697715163, 22.906075529874904, 34.6023711760987, -29.285346888452665, -29.08399103054615, -29.60837705788379, -26.353480533736263, -25.605554982371952, -24.12871824956464, -29.92116111116099, -27.695213412325746, -28.666791307827904, -29.199884717806643, 62.22840091868602, -29.612502024687913, 2.0992876119940735, -2.0551763606678866, 51.768245755274684, -27.202494676724253, -9.191624570838083, -11.210274374131032, -15.634511298217188], [74.23612329557778, 70.5921540261063, 71.1036399924946, -13.250187524368602, -18.433208342485948, -14.252140651206137, -20.462191316568777, -20.670731989111033, -21.149486549128866, -21.388683636549505, -16.399722233837547, -20.339005667370227, -17.275123764332488, -14.579801007021596, -13.63789701529596, -16.785149684123866, -18.876213559209802, -21.143854821017886, -21.79538286010545, -14.205535203299728, -18.06547258645195, 36.84498011567118, 45.36911983555679, -11.714318031900728, -15.982192234848064, 29.881401705058217, 29.281035087839154, -6.902155380069777]],\"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\"],\"t3413f80ebe8342e086022f8a585d1499\",\"data\",\"point\",[\"x\", \"y0\"],[[0.6459273566844087, 0.052980303451650515, 0.30450572456334624, 58.47979975954235, 47.50567849202539, 63.214517674617966, 26.841182788165284, 23.17257109056895, 34.25353312865155, -28.9120318150985, -28.727817249611437, -29.407428959791588, -26.20900063413997, -25.53872281265302, -23.49331191608251, -30.010891809230984, -26.992470862599852, -29.0760519883831, -28.454369901204892, 61.74375265734825, -28.649628389004594, 2.0969623843361047, -1.9209838398314487, 52.13005817804988, -26.958869976765342, -9.161795212311421, -10.198727462181601, -16.72936670911493], [74.53667207837421, 70.76022947516397, 70.92605438320372, -13.164056048976672, -18.08587034150237, -14.518208306391996, -19.825261496132754, -19.789740471726414, -21.148608990223227, -21.357356275895366, -16.337150343439795, -20.42859833276357, -17.52683785760979, -14.343786233735408, -13.001552388997409, -19.0125718441234, -18.81523248698896, -21.035029217003068, -21.63396863341711, -13.825868034433135, -17.845017308266343, 37.566188060474836, 45.221619652640655, -11.389709310544967, -16.42716475180664, 29.81629189493625, 28.27606507182927, -7.5915319426445595]],\"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\"],\"tdcc535d6c0054399a1397ebc5c255391\",\"data\",\"point\",[\"x\", \"y0\"],[[-5.7945353779261906, -5.671855154074227, -6.35349269627018, 60.3629379619553, 49.47409420917244, 66.2193505288515, 27.845075976443173, 25.008560645316265, 36.256711693059785, -26.93988661013104, -27.81690384992917, -26.71471848709299, -24.873954256830302, -23.687978395897918, -22.516051565639323, -29.479016661207318, -25.91334456873136, -26.208646143087957, -26.378308403277796, 63.51665966705537, -27.866848646519426, -2.0413671694837827, -6.336569608821745, 53.105986459663704, -26.06986804430889, -11.558558279208233, -14.054135332843174, -15.513337890236446], [74.86165590781746, 70.31686262002522, 70.99777942814703, -7.388083784872224, -13.976136162248114, -8.595040261599328, -17.607010243013697, -18.09644772054873, -18.19472664949063, -24.03706754237652, -18.759113112714576, -21.821351610236317, -20.16068205206253, -16.516963135651373, -15.319553376462476, -21.52486053593151, -21.731063083611495, -23.719620353180833, -23.270551943899015, -8.555644490080194, -20.72623614408179, 37.046784385723825, 44.41123268092866, -7.489824942839255, -18.576003809186336, 29.47221239494987, 27.962866828811627, -9.003413292316784]],\"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\"],\"t21a5dd5c238f4952bd165892793fa19f\",\"data\",\"point\",[\"x\", \"y0\"],[[1.4217125325636706, 0.8121322370615376, 0.8338807758330716, 59.05726717353782, 47.34746225939301, 63.9399481245418, 26.722661284131902, 24.01543753552095, 35.11536144453825, -29.25629020823448, -28.742061827524964, -28.312544824247446, -26.817373969064644, -25.50391516086061, -22.924982425642344, -30.65028541916159, -27.443725663079473, -28.511415554242582, -28.645988317359546, 61.39270534715487, -29.269088333904165, 1.658476197220326, -3.3589999233449093, 52.33264357256316, -27.519563370945384, -9.606448345796478, -11.736565006033272, -16.350440134618427], [74.75176716556342, 70.87999336369221, 71.2800105603361, -12.615779794764961, -18.723697448502442, -14.063751838790097, -20.173447465369726, -20.70915844634967, -21.97534528621927, -21.43038801603759, -16.878317496123998, -21.07948468641088, -18.302673157712377, -14.874654567534602, -13.637808793629068, -18.129386302620247, -19.092129191789567, -20.929654350817067, -20.70179219095831, -13.777298516562794, -18.045003679802345, 37.76757430004092, 46.35297848092965, -11.042791503377492, -16.64491800372157, 29.443499111969683, 28.906661823726857, -6.555004069164752]],\"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\"],\"taac229afbe6341fcb2057d83feef2efe\",\"data\",\"point\",[\"x\", \"y0\"],[[10.385447007388025, 8.962170640544715, 9.37975194811015, 56.6027412539673, 45.53034771438218, 61.691473676337544, 23.806938631988046, 19.93717225992973, 32.79261683124066, -31.9183624427699, -30.019167315977228, -31.973900104820444, -28.072526691810218, -27.517418248955472, -25.00807248235375, -32.1186235493302, -28.786403556406444, -30.4771075942407, -30.78795611239159, 59.22401224327893, -30.475202290542303, 5.955953628044605, 2.530348353235943, 50.209065401734584, -29.0254193216957, -6.01567864875227, -7.7191587675645446, -17.09304246257171], [74.60973881114873, 70.1128305241436, 70.17516935624526, -19.480589173870626, -23.550591355808674, -20.836882198245828, -22.991171580018168, -23.24642391592142, -25.044202595628043, -18.051731876742014, -13.316107059887619, -16.56399998212954, -14.217982218354884, -11.543616693030241, -9.798029487187627, -14.582858208930254, -15.344159079174139, -17.62032473084237, -18.819372552527003, -20.901038647761244, -14.214245373445664, 37.0614021391299, 44.64882985244157, -17.288473220843084, -13.26499684756616, 30.56225272667679, 29.52577738659528, -6.019203998466563]],\"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\"],\"t69ace96a3a344205a908fba132548f6d\",\"data\",\"point\",[\"x\", \"y0\"],[[-1.4045906420527197, -1.5647724978214177, -1.7960173932420944, 59.082659668257534, 48.053310200019766, 64.27527247007299, 27.385157145212794, 23.781129360032427, 35.350842524720306, -28.51521673800653, -28.32058969790752, -28.35958410757147, -25.787782758978114, -24.97951019113894, -23.31448124975669, -29.532075718910004, -26.624625249422547, -27.678344236207245, -27.971736953960807, 62.35076900319515, -28.318418935073716, 0.5350637535757964, -4.091294646172726, 52.292106668995906, -26.688939106400557, -10.089847861200855, -12.05745870437522, -16.011024105883507], [74.24642206412942, 70.55795068222665, 70.64139734409969, -10.898264967926947, -16.66419633034807, -12.233575062749875, -19.279541436512364, -19.652370436560368, -20.224786025517215, -22.26626518146227, -17.588268094625057, -21.241793023640867, -18.473552847107506, -15.38621229082938, -13.98227408813705, -19.026327763528926, -19.676053699602576, -21.951074221461575, -22.064490697278863, -12.066612532074092, -18.89862480086378, 37.46772620289347, 45.04176970734976, -9.727209530604705, -17.027274514872644, 29.797158264360526, 28.41278515687332, -7.836441876228673]],\"toyplot\");\n",
       "(function(axis, axis_id, projection)\n",
       "        {\n",
       "            axis.show_coordinates(axis_id, projection);\n",
       "        })(modules[\"toyplot.coordinates.Axis\"],\"t3015b920a291445f9afecc2f2fd4b16c\",[{\"domain\": {\"bounds\": {\"max\": Infinity, \"min\": -Infinity}, \"max\": 66.2193505288515, \"min\": -32.1186235493302}, \"range\": {\"bounds\": {\"max\": Infinity, \"min\": -Infinity}, \"max\": 220.0, \"min\": 0.0}, \"scale\": \"linear\"}]);\n",
       "(function(axis, axis_id, projection)\n",
       "        {\n",
       "            axis.show_coordinates(axis_id, projection);\n",
       "        })(modules[\"toyplot.coordinates.Axis\"],\"t7b3026a74a3348288ec887ad6caf0231\",[{\"domain\": {\"bounds\": {\"max\": Infinity, \"min\": -Infinity}, \"max\": 75.0, \"min\": -25.839724192524276}, \"range\": {\"bounds\": {\"max\": Infinity, \"min\": -Infinity}, \"max\": 200.0, \"min\": 0.0}, \"scale\": \"linear\"}]);\n",
       "})();</script></div></div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# get plot objects, several styling options to draw\n",
    "canvas, axes = tool.draw(imap=IMAP, size=8, width=400);\n",
    "\n",
    "# various axes styling options shown for x axis\n",
    "axes.x.ticks.show = True\n",
    "axes.x.spine.style['stroke-width'] = 1.5\n",
    "axes.x.ticks.labels.style['font-size'] = '13px'\n",
    "axes.x.label.style['font-size'] = \"15px\"\n",
    "axes.x.label.offset = \"22px\""
   ]
  }
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