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   "cells": [
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     "cell_type": "heading",
     "level": 1,
     "metadata": {},
     "source": [
      "How to leverage d3.js in the noteboook"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Because IPython supports HTML and JavaScript representations of Python objects, it is possible to leverage the power of [d3.js](http://d3js.org), even without using the new Widget architecture. These examples help to clarify the differences between regular HTML/JavaScript output and the new Widgets:\n",
      "\n",
      "**Regular HTML/JavaScript output in the notebook is put on the page a single time and subsequently cannot communicate with the backend kernel**\n",
      "\n",
      "**Widgets can communicate with the backend kernel bidirectionally at any time after being rendered on the page.**\n",
      "\n",
      "One of the central benefits of using regular HTML/JavaScript output is that the resulting visualizations will work on http://nbviewer.ipython.org for IPython 2.0.\n",
      "\n",
      "We are working on enabling Widgets on http://nbviewer.ipython.org, but it will probably be another 6 months."
     ]
    },
    {
     "cell_type": "heading",
     "level": 2,
     "metadata": {},
     "source": [
      "A basic d3.js example"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Here is a simple example from the d3 website, which shows how we can use d3 directly in the Notebook.\n",
      "\n",
      "First, let's create a `div` for a d3 visualization and define some CSS styles:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "%%html\n",
      "\n",
      "<div id=\"d3-example\"></div>\n",
      "\n",
      "<style>\n",
      ".node {stroke: #fff; stroke-width: 1.5px;}\n",
      ".link {stroke: #999; stroke-opacity: .6;}\n",
      "</style>"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "\n",
        "<div id=\"d3-example\"></div>\n",
        "\n",
        "<style>\n",
        ".node {stroke: #fff; stroke-width: 1.5px;}\n",
        ".link {stroke: #999; stroke-opacity: .6;}\n",
        "</style>"
       ],
       "metadata": {},
       "output_type": "display_data",
       "text": [
        "<IPython.core.display.HTML at 0x111c8a390>"
       ]
      }
     ],
     "prompt_number": 1
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Now let's run the JavaScript code for a d3 example using the `%%javascript` magic. Note, this is pulling the data (`miserables.json`) from a local file sitting in the `data` directory next to this notebook and using the above defined `div` and CSS."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "%%javascript\n",
      "\n",
      "require.config({paths: {d3: \"http://d3js.org/d3.v3.min\"}});\n",
      "\n",
      "require([\"d3\"], function(d3) {\n",
      "  var width = 600,\n",
      "      height = 400;\n",
      "\n",
      "  var color = d3.scale.category20();\n",
      "\n",
      "  var force = d3.layout.force()\n",
      "    .charge(-120)\n",
      "    .linkDistance(30)\n",
      "    .size([width, height]);\n",
      "\n",
      "  var svg = d3.select(\"#d3-example\").append(\"svg\")\n",
      "    .attr(\"width\", width)\n",
      "    .attr(\"height\", height);\n",
      "\n",
      "  d3.json(\"data/miserables.json\", function(error, graph) {\n",
      "    force.nodes(graph.nodes)\n",
      "         .links(graph.links)\n",
      "         .start();\n",
      "\n",
      "    var link = svg.selectAll(\".link\")\n",
      "        .data(graph.links)\n",
      "        .enter().append(\"line\")\n",
      "        .attr(\"class\", \"link\")\n",
      "        .style(\"stroke-width\", function(d) { return Math.sqrt(d.value); });\n",
      "\n",
      "    var node = svg.selectAll(\".node\")\n",
      "        .data(graph.nodes)\n",
      "        .enter().append(\"circle\")\n",
      "        .attr(\"class\", \"node\")\n",
      "        .attr(\"r\", 5)\n",
      "        .style(\"fill\", function(d) { return color(d.group); })\n",
      "        .call(force.drag);\n",
      "\n",
      "    node.append(\"title\")\n",
      "        .text(function(d) { return d.name; });\n",
      "\n",
      "    force.on(\"tick\", function() {\n",
      "      link.attr(\"x1\", function(d) { return d.source.x; })\n",
      "          .attr(\"y1\", function(d) { return d.source.y; })\n",
      "          .attr(\"x2\", function(d) { return d.target.x; })\n",
      "          .attr(\"y2\", function(d) { return d.target.y; });\n",
      "\n",
      "      node.attr(\"cx\", function(d) { return d.x; })\n",
      "          .attr(\"cy\", function(d) { return d.y; });\n",
      "    });\n",
      "  });\n",
      "});"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "javascript": [
        "\n",
        "require.config({paths: {d3: \"http://d3js.org/d3.v3.min\"}});\n",
        "\n",
        "require([\"d3\"], function(d3) {\n",
        "  var width = 600,\n",
        "      height = 400;\n",
        "\n",
        "  var color = d3.scale.category20();\n",
        "\n",
        "  var force = d3.layout.force()\n",
        "    .charge(-120)\n",
        "    .linkDistance(30)\n",
        "    .size([width, height]);\n",
        "\n",
        "  var svg = d3.select(\"#d3-example\").append(\"svg\")\n",
        "    .attr(\"width\", width)\n",
        "    .attr(\"height\", height);\n",
        "\n",
        "  d3.json(\"data/miserables.json\", function(error, graph) {\n",
        "    force.nodes(graph.nodes)\n",
        "         .links(graph.links)\n",
        "         .start();\n",
        "\n",
        "    var link = svg.selectAll(\".link\")\n",
        "        .data(graph.links)\n",
        "        .enter().append(\"line\")\n",
        "        .attr(\"class\", \"link\")\n",
        "        .style(\"stroke-width\", function(d) { return Math.sqrt(d.value); });\n",
        "\n",
        "    var node = svg.selectAll(\".node\")\n",
        "        .data(graph.nodes)\n",
        "        .enter().append(\"circle\")\n",
        "        .attr(\"class\", \"node\")\n",
        "        .attr(\"r\", 5)\n",
        "        .style(\"fill\", function(d) { return color(d.group); })\n",
        "        .call(force.drag);\n",
        "\n",
        "    node.append(\"title\")\n",
        "        .text(function(d) { return d.name; });\n",
        "\n",
        "    force.on(\"tick\", function() {\n",
        "      link.attr(\"x1\", function(d) { return d.source.x; })\n",
        "          .attr(\"y1\", function(d) { return d.source.y; })\n",
        "          .attr(\"x2\", function(d) { return d.target.x; })\n",
        "          .attr(\"y2\", function(d) { return d.target.y; });\n",
        "\n",
        "      node.attr(\"cx\", function(d) { return d.x; })\n",
        "          .attr(\"cy\", function(d) { return d.y; });\n",
        "    });\n",
        "  });\n",
        "});"
       ],
       "metadata": {},
       "output_type": "display_data",
       "text": [
        "<IPython.core.display.Javascript at 0x111c8a3d0>"
       ]
      }
     ],
     "prompt_number": 2
    },
    {
     "cell_type": "heading",
     "level": 2,
     "metadata": {},
     "source": [
      "Vincent/Vega"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "[Vega](http://trifacta.github.io/vega/) is a declarative, JSON-based grammar for specifying SVG/Canvas visualizations.\n",
      "\n",
      "[Vincent](https://github.com/wrobstory/vincent) is a Python plotting library that produces Vega JSON that is automatically rendered as output in the Notebook."
     ]
    },
    {
     "cell_type": "heading",
     "level": 2,
     "metadata": {},
     "source": [
      "mpld3"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "[Matplotlib](http://matplotlib.org) is a mature visualization library for Python. When using matplotlib in the notebook it usually produces PNG, JPEG or PDF output.\n",
      "\n",
      "[mpld3](http://mpld3.github.io/) is a recently created Python library that converts matplotlib `Figure` objects to d3 based visualizations that the notebook can display."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "%matplotlib inline\n",
      "import numpy as np\n",
      "from matplotlib import pyplot as plt\n",
      "from mpld3 import enable_notebook, plugins\n",
      "enable_notebook()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 3
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from sklearn.datasets import load_iris\n",
      "\n",
      "data = load_iris()\n",
      "X = data.data\n",
      "y = data.target\n",
      "\n",
      "# dither the data for clearer plotting\n",
      "X += 0.1 * np.random.random(X.shape)\n",
      "\n",
      "fig, ax = plt.subplots(4, 4, sharex=\"col\", sharey=\"row\", figsize=(8, 8))\n",
      "fig.subplots_adjust(left=0.05, right=0.95, bottom=0.05, top=0.95,\n",
      "                    hspace=0.1, wspace=0.1)\n",
      "\n",
      "for i in range(4):\n",
      "    for j in range(4):\n",
      "        ax[3 - i, j].scatter(X[:, j], X[:, i],\n",
      "                             c=y, s=40, alpha=0.3)\n",
      "\n",
      "# remove tick labels\n",
      "for axi in ax.flat:\n",
      "    for axis in [axi.xaxis, axi.yaxis]:\n",
      "        axis.set_major_formatter(plt.NullFormatter())\n",
      "\n",
      "# add a reset() button\n",
      "plugins.connect(fig, plugins.ResetButton())\n",
      "plt.show()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
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        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "    </style>\n",
        "\n",
        "\n",
        "\n",
        "    <div id='figurea470b298b67b466f8ed927d98d93d257'>\n",
        "    </div>\n",
        "    <script type=\"text/javascript\">\n",
        "    var create_figa470b298b67b466f8ed927d98d93d257 = function(d3, undefined){\n",
        "\n",
        "\n",
        "    function Figure(figid, width, height){\n",
        "      this.figid = figid;\n",
        "      this.root = d3.select(figid);\n",
        "      this.width = width;\n",
        "      this.height = height;\n",
        "      this.axes = [];\n",
        "    }\n",
        "\n",
        "    Figure.prototype.draw = function(){\n",
        "      this.canvas = this.root.append('svg:svg')\n",
        "                                 .attr('class', 'figure')\n",
        "                                 .attr('width', this.width)\n",
        "                                 .attr('height', this.height);\n",
        "      for (var i=0; i<this.axes.length; i++){\n",
        "        this.axes[i].draw();\n",
        "      }\n",
        "    };\n",
        "\n",
        "    Figure.prototype.reset = function(duration){\n",
        "      duration = (typeof duration !== 'undefined') ? duration : 750;\n",
        "      for (var i=0; i<this.axes.length; i++){\n",
        "        this.axes[i].prep_reset();\n",
        "      }\n",
        "\n",
        "      var transition = function(t){\n",
        "        for (var i=0; i<this.axes.length; i++){\n",
        "          this.axes[i].xdom(this.axes[i].xdom.domain(this.axes[i].ix(t)));\n",
        "          this.axes[i].ydom(this.axes[i].ydom.domain(this.axes[i].iy(t)));\n",
        "\n",
        "          // don't propagate: this will be done as part of the loop.\n",
        "          this.axes[i].zoomed(false);\n",
        "        }\n",
        "      }.bind(this)\n",
        "\n",
        "      d3.transition().duration(duration)\n",
        "                     .tween(\"zoom\", function(){return transition;});\n",
        "\n",
        "      for (var i=0; i<this.axes.length; i++){\n",
        "        this.axes[i].finalize_reset();\n",
        "      }\n",
        "    };\n",
        "\n",
        "\n",
        "\n",
        "    function Axes(fig, bbox,\n",
        "                  xlim, ylim,\n",
        "                  xscale, yscale,\n",
        "                  xdomain, ydomain,\n",
        "                  xgridOn, ygridOn,\n",
        "                  axclass, clipid,\n",
        "                  zoomable){\n",
        "      this.axnum = fig.axes.length;\n",
        "      fig.axes.push(this);\n",
        "\n",
        "      this.fig = fig;\n",
        "      this.bbox = bbox;\n",
        "      this.xlim = xlim;\n",
        "      this.ylim = ylim;\n",
        "      this.xdomain = xdomain;\n",
        "      this.ydomain = ydomain;\n",
        "      this.xscale = xscale;\n",
        "      this.yscale = yscale;\n",
        "      this.xgridOn = xgridOn;\n",
        "      this.ygridOn = ygridOn;\n",
        "      this.axclass = (typeof axclass !== 'undefined') ? axclass : \"axes\";\n",
        "      this.clipid = (typeof clipid != 'undefined') ? clipid : \"clip\";\n",
        "      this.zoomable = zoomable;\n",
        "\n",
        "      this.sharex = [];\n",
        "      this.sharey = [];\n",
        "      this.elements = [];\n",
        "\n",
        "      this.position = [this.bbox[0] * this.fig.width,\n",
        "                       (1 - this.bbox[1] - this.bbox[3]) * this.fig.height];\n",
        "      this.width = bbox[2] * this.fig.width;\n",
        "      this.height = bbox[3] * this.fig.height;\n",
        "\n",
        "      if(this.xscale === 'log'){\n",
        "        this.xdom = d3.scale.log();\n",
        "      }else if(this.xscale === 'date'){\n",
        "        this.xdom = d3.time.scale();\n",
        "      }else{\n",
        "        this.xdom = d3.scale.linear();\n",
        "      }\n",
        "\n",
        "      if(this.yscale === 'log'){\n",
        "        this.ydom = d3.scale.log();\n",
        "      }else if(this.yscale === 'date'){\n",
        "        this.ydom = d3.time.scale();\n",
        "      }else{\n",
        "        this.ydom = d3.scale.linear();\n",
        "      }\n",
        "\n",
        "      this.xdom.domain(this.xdomain)\n",
        "            .range([0, this.width]);\n",
        "\n",
        "      this.ydom.domain(this.ydomain)\n",
        "            .range([this.height, 0]);\n",
        "\n",
        "      if(this.xscale === 'date'){\n",
        "         this.xmap = d3.time.scale()\n",
        "                           .domain(this.xdomain)\n",
        "                           .range(this.xlim);\n",
        "         this.x = function(x){return this.xdom(this.xmap.invert(x));}\n",
        "      }else if(this.xscale === 'log'){\n",
        "         this.xmap = this.xdom;\n",
        "         this.x = this.xdom;\n",
        "      }else{\n",
        "         this.xmap = this.xdom;\n",
        "         this.x = this.xdom;\n",
        "      }\n",
        "\n",
        "      if(this.yscale === 'date'){\n",
        "         this.ymap = d3.time.scale()\n",
        "                              .domain(this.ydomain)\n",
        "                              .range(this.ylim);\n",
        "         this.y = function(y){return this.ydom(this.ymap.invert(y));}\n",
        "      }else if(this.xscale === 'log'){\n",
        "         this.ymap = this.ydom;\n",
        "         this.y = this.ydom;\n",
        "      }else{\n",
        "         this.ymap = this.ydom;\n",
        "         this.y = this.ydom;\n",
        "      }\n",
        "    }\n",
        "\n",
        "    Axes.prototype.draw = function(){\n",
        "      this.zoom = d3.behavior.zoom()\n",
        "                          .x(this.xdom)\n",
        "                          .y(this.ydom)\n",
        "                          .on(\"zoom\", this.zoomed.bind(this));\n",
        "\n",
        "      this.baseaxes = this.fig.canvas.append(\"g\")\n",
        "                             .attr('transform', 'translate('\n",
        "                                                 + this.position[0] + ','\n",
        "                                                 + this.position[1] + ')')\n",
        "                             .attr('width', this.width)\n",
        "                             .attr('height', this.height)\n",
        "                             .attr('class', \"baseaxes\");\n",
        "\n",
        "      if(this.zoomable){\n",
        "        this.baseaxes.call(this.zoom);\n",
        "      }\n",
        "\n",
        "      this.axesbg = this.baseaxes.append(\"svg:rect\")\n",
        "                             .attr(\"width\", this.width)\n",
        "                             .attr(\"height\", this.height)\n",
        "                             .attr(\"class\", \"axesbg\");\n",
        "\n",
        "      this.clip = this.baseaxes.append(\"svg:clipPath\")\n",
        "                          .attr(\"id\", this.clipid)\n",
        "                          .append(\"svg:rect\")\n",
        "                             .attr(\"x\", 0)\n",
        "                             .attr(\"y\", 0)\n",
        "                             .attr(\"width\", this.width)\n",
        "                             .attr(\"height\", this.height)\n",
        "\n",
        "      this.axes = this.baseaxes.append(\"g\")\n",
        "                           .attr(\"class\", this.axclass)\n",
        "                           .attr(\"clip-path\", \"url(#\" + this.clipid + \")\");\n",
        "\n",
        "      for(var i=0; i<this.elements.length; i++){\n",
        "        this.elements[i].draw();\n",
        "      }\n",
        "    };\n",
        "\n",
        "    Axes.prototype.zoomed = function(propagate){\n",
        "      // propagate is a boolean specifying whether to propagate movements\n",
        "      // to shared axes, specified by sharex and sharey.  Default is true.\n",
        "      propagate = (typeof propagate == 'undefined') ? true : propagate;\n",
        "\n",
        "      //console.log(this.zoom.translate());\n",
        "      //console.log(this.zoom.scale());\n",
        "      //console.log(this.zoom.x().domain());\n",
        "      //console.log(this.zoom.y().domain());\n",
        "\n",
        "      for(var i=0; i<this.elements.length; i++){\n",
        "        this.elements[i].zoomed();\n",
        "      }\n",
        "\n",
        "      if(propagate){\n",
        "        // update shared x axes\n",
        "        for(var i=0; i<this.sharex.length; i++){\n",
        "          this.sharex[i].zoom.x().domain(this.zoom.x().domain());\n",
        "          this.sharex[i].zoomed(false);\n",
        "        }\n",
        "        // update shared y axes\n",
        "        for(var i=0; i<this.sharey.length; i++){\n",
        "          this.sharey[i].zoom.y().domain(this.zoom.y().domain());\n",
        "          this.sharey[i].zoomed(false);\n",
        "        }\n",
        "      }\n",
        "    };\n",
        "\n",
        "    Axes.prototype.add_element = function(element){\n",
        "      this.elements.push(element);\n",
        "    };\n",
        "\n",
        "    Axes.prototype.prep_reset = function(){\n",
        "      // interpolate() does not work on dates, so we map dates to numbers,\n",
        "      // interpolate the numbers, and then invert the map.\n",
        "      // we use the same strategy for log, so the interpolation will be smooth.\n",
        "      // There probably is a cleaner approach...\n",
        "\n",
        "      if (this.xscale === 'date'){\n",
        "        var start = this.xdom.domain();\n",
        "        var end = this.xdomain;\n",
        "        var interp = d3.interpolate(\n",
        "                [this.xmap(start[0]), this.xmap(start[1])],\n",
        "                [this.xmap(end[0]), this.xmap(end[1])]);\n",
        "        this.ix = function(t){\n",
        "          return [this.xmap.invert(interp(t)[0]),\n",
        "                  this.xmap.invert(interp(t)[1])];\n",
        "        }\n",
        "      }else{\n",
        "        this.ix = d3.interpolate(this.xdom.domain(), this.xlim);\n",
        "      }\n",
        "\n",
        "      if (this.yscale === 'date'){\n",
        "        var start = this.ydom.domain();\n",
        "        var end = this.ydomain;\n",
        "        var interp = d3.interpolate(\n",
        "                [this.ymap(start[0]), this.ymap(start[1])],\n",
        "                [this.ymap(end[0]), this.ymap(end[1])]);\n",
        "        this.iy = function(t){\n",
        "          return [this.ymap.invert(interp(t)[0]),\n",
        "                  this.ymap.invert(interp(t)[1])];\n",
        "        }\n",
        "      }else{\n",
        "        this.iy = d3.interpolate(this.ydom.domain(), this.ylim);\n",
        "      }\n",
        "    }\n",
        "\n",
        "    Axes.prototype.finalize_reset = function(){\n",
        "      this.zoom.scale(1).translate([0, 0]);\n",
        "    }\n",
        "\n",
        "    Axes.prototype.reset = function(){\n",
        "      this.prep_reset();\n",
        "      d3.transition().duration(750).tween(\"zoom\", function() {\n",
        "        return function(t) {\n",
        "          this.zoom.x(this.xdom.domain(this.ix(t)))\n",
        "                   .y(this.ydom.domain(this.iy(t)));\n",
        "          this.zoomed();\n",
        "        };\n",
        "      });\n",
        "      this.finalize_reset();\n",
        "    };\n",
        "\n",
        "\n",
        "\n",
        "    function Axis(axes, position, nticks, tickvalues, tickformat){\n",
        "      this.axes = axes;\n",
        "      this.position = position;\n",
        "      this.nticks = nticks;\n",
        "      this.tickvalues = tickvalues;\n",
        "      this.tickformat = tickformat;\n",
        "      if (position == \"bottom\"){\n",
        "        this.transform = \"translate(0,\" + this.axes.height + \")\";\n",
        "        this.scale = this.axes.xdom;\n",
        "        this.class = \"x axis\";\n",
        "      }else if (position == \"top\"){\n",
        "        this.transform = \"translate(0,0)\"\n",
        "        this.scale = this.axes.xdom;\n",
        "        this.class = \"x axis\";\n",
        "      }else if (position == \"left\"){\n",
        "        this.transform = \"translate(0,0)\";\n",
        "        this.scale = this.axes.ydom;\n",
        "        this.class = \"y axis\";\n",
        "      }else{\n",
        "        this.transform = \"translate(\" + this.axes.width + \",0)\";\n",
        "        this.scale = this.axes.ydom;\n",
        "        this.class = \"y axis\";\n",
        "      }\n",
        "    }\n",
        "\n",
        "    Axis.prototype.draw = function(){\n",
        "      this.axis = d3.svg.axis()\n",
        "                          .scale(this.scale)\n",
        "                          .orient(this.position)\n",
        "                          .ticks(this.nticks)\n",
        "                          .tickValues(this.tickvalues)\n",
        "                          .tickFormat(this.tickformat);\n",
        "      this.elem = this.axes.baseaxes.append('g')\n",
        "                        .attr(\"transform\", this.transform)\n",
        "                        .attr(\"class\", this.class)\n",
        "                        .call(this.axis);\n",
        "    };\n",
        "\n",
        "    Axis.prototype.zoomed = function(){\n",
        "      this.elem.call(this.axis);\n",
        "    };\n",
        "\n",
        "\n",
        "\n",
        "    function Grid(axes, xy){\n",
        "      this.axes = axes;\n",
        "      this.class = xy + \" grid\"\n",
        "      if(xy == \"x\"){\n",
        "        this.transform = \"translate(0,\" + this.axes.height + \")\";\n",
        "        this.position = \"bottom\";\n",
        "        this.scale = this.axes.xdom;\n",
        "        this.tickSize = -this.axes.height;\n",
        "      }else{\n",
        "        this.transform = \"translate(0,0)\";\n",
        "        this.position = \"left\";\n",
        "        this.scale = this.axes.ydom;\n",
        "        this.tickSize = -this.axes.width;\n",
        "      }\n",
        "    }\n",
        "\n",
        "    Grid.prototype.draw = function(){\n",
        "      this.grid = d3.svg.axis()\n",
        "                          .scale(this.scale)\n",
        "                          .orient(this.position)\n",
        "                          .tickSize(this.tickSize, 0, 0)\n",
        "                          .tickFormat(\"\");\n",
        "      this.elem = this.axes.axes.append(\"g\")\n",
        "                          .attr(\"class\", this.class)\n",
        "                          .attr(\"transform\", this.transform)\n",
        "                          .call(this.grid);\n",
        "    };\n",
        "\n",
        "    Grid.prototype.zoomed = function(){\n",
        "      this.elem.call(this.grid);\n",
        "    };\n",
        "\n",
        "\n",
        "\n",
        "    // This function constructs a mapped SVG path\n",
        "    // from an input data array\n",
        "    var construct_SVG_path = function(data, xmap, ymap){\n",
        "       xmap = (typeof xmap !== 'undefined') ? xmap : function(x){return x;};\n",
        "       ymap = (typeof ymap !== 'undefined') ? ymap : function(y){return y;};\n",
        "       var result = \"\";\n",
        "       for (var i=0;i<data.length;i++){\n",
        "          result += data[i][0];\n",
        "          if(data[i][0] == 'Z'){\n",
        "            continue;\n",
        "          }\n",
        "          for (var j=0;j<data[i][1].length;j++){\n",
        "            if(j % 2 == 0){\n",
        "               result += \" \" + xmap(data[i][1][j]);\n",
        "            }else{\n",
        "               result += \" \" + ymap(data[i][1][j]);\n",
        "            }\n",
        "          }\n",
        "          result += \" \";\n",
        "       }\n",
        "       return result;\n",
        "     };\n",
        "\n",
        "\n",
        "      var figwidth = 8.0 * 80;\n",
        "      var figheight = 8.0 * 80;\n",
        "      var fig = new Figure(\"div#figurea470b298b67b466f8ed927d98d93d257\",\n",
        "                           figwidth, figheight);\n",
        "\n",
        "\n",
        "\n",
        "    var ax1 = new Axes(fig, [0.050000000000000003, 0.74069767441860468, 0.20930232558139533, 0.20930232558139528], [4.0, 8.5], [-0.5, 3.0],\n",
        "                               \"linear\", \"linear\",\n",
        "                               [4.0, 8.5], [-0.5, 3.0],\n",
        "                               false, false,\n",
        "                               \"axes1\",\n",
        "                               \"clipa470b298b67b466f8ed927d98d93d2571\", true);\n",
        "\n",
        "\n",
        "\n",
        "// Add an Axis element\n",
        "ax1.add_element(new Axis(ax1, \"bottom\",\n",
        "                                 10, null,\n",
        "                                 \"\"));\n",
        "\n",
        "\n",
        "\n",
        "// Add an Axis element\n",
        "ax1.add_element(new Axis(ax1, \"left\",\n",
        "                                 8, null,\n",
        "                                 \"\"));\n",
        "\n",
        "\n",
        "\n",
        "// Add a Collection\n",
        "var coll5305d46e68a043f08c7075f7676d60d8 = new function(){\n",
        "  this.ax = ax1;\n",
        "  this.data = [{\"fc\": \"#00007F\", \"o\": [5.17090221659786, 0.26211408454795315]}, {\"fc\": \"#00007F\", \"o\": [4.908589299872229, 0.24207739258282485]}, {\"fc\": \"#00007F\", \"o\": [4.7703745384285146, 0.2518855607938784]}, {\"fc\": \"#00007F\", \"o\": [4.657142575307751, 0.21714209929972506]}, {\"fc\": \"#00007F\", \"o\": [5.047822741002662, 0.29174088458386305]}, {\"fc\": \"#00007F\", \"o\": [5.451200876564271, 0.4709592319645498]}, {\"fc\": \"#00007F\", \"o\": [4.673932934965162, 0.35491414139192506]}, {\"fc\": \"#00007F\", \"o\": [5.070957619190929, 0.2284565978776942]}, {\"fc\": \"#00007F\", \"o\": [4.484546254314965, 0.29589379233349267]}, {\"fc\": \"#00007F\", \"o\": [4.96022460122536, 0.15169766687624028]}, {\"fc\": \"#00007F\", \"o\": [5.4484468479849415, 0.2237893111942842]}, {\"fc\": \"#00007F\", \"o\": [4.812595104062529, 0.24424269319648467]}, {\"fc\": \"#00007F\", \"o\": [4.848229521227882, 0.10327757561343147]}, {\"fc\": \"#00007F\", \"o\": [4.332031266648413, 0.11556226435907532]}, {\"fc\": \"#00007F\", \"o\": [5.871754638893196, 0.2743657971827985]}, {\"fc\": \"#00007F\", \"o\": [5.706692083840074, 0.48160719343562364]}, {\"fc\": \"#00007F\", \"o\": [5.491807410632337, 0.4042087400415593]}, {\"fc\": \"#00007F\", \"o\": [5.166695773482065, 0.3309352277383192]}, {\"fc\": \"#00007F\", \"o\": [5.700874977846094, 0.380215760058558]}, {\"fc\": \"#00007F\", \"o\": [5.146572259043651, 0.37083473385596416]}, {\"fc\": \"#00007F\", \"o\": [5.4404033011720845, 0.2754392893635559]}, {\"fc\": \"#00007F\", \"o\": [5.121205699077781, 0.45625460778737825]}, {\"fc\": \"#00007F\", \"o\": [4.668784790266301, 0.25243453840860036]}, {\"fc\": \"#00007F\", \"o\": [5.170741082019018, 0.5243909256516152]}, {\"fc\": \"#00007F\", \"o\": [4.898929550397218, 0.2198405109065725]}, {\"fc\": \"#00007F\", \"o\": [5.05921788997354, 0.24500801580814618]}, {\"fc\": \"#00007F\", \"o\": [5.002027718903214, 0.4062750857139841]}, {\"fc\": \"#00007F\", \"o\": [5.215603746288424, 0.2991863748274868]}, {\"fc\": \"#00007F\", \"o\": [5.2413195590622905, 0.24273140747733257]}, {\"fc\": \"#00007F\", \"o\": [4.788571774943383, 0.2786892396632271]}, {\"fc\": \"#00007F\", \"o\": [4.80576635921765, 0.26150197656861607]}, {\"fc\": \"#00007F\", \"o\": [5.411223486259187, 0.4854184302050224]}, {\"fc\": \"#00007F\", \"o\": [5.2956019499489875, 0.10878707260341314]}, {\"fc\": \"#00007F\", \"o\": [5.502111115176593, 0.2836201243947399]}, {\"fc\": \"#00007F\", \"o\": [4.939256966254319, 0.12068048263845797]}, {\"fc\": \"#00007F\", \"o\": [5.093265701334743, 0.2797057810774932]}, {\"fc\": \"#00007F\", \"o\": [5.512756056453292, 0.27494456100197096]}, {\"fc\": \"#00007F\", \"o\": [4.903764304839228, 0.12036261510786876]}, {\"fc\": \"#00007F\", \"o\": [4.429757131409055, 0.2925030778578158]}, {\"fc\": \"#00007F\", \"o\": [5.1735704227080666, 0.22872900943739669]}, {\"fc\": \"#00007F\", \"o\": [5.043034905251484, 0.35511322716741844]}, {\"fc\": \"#00007F\", \"o\": [4.541008040857622, 0.32203838030986703]}, {\"fc\": \"#00007F\", \"o\": [4.483829343244999, 0.24336035726660477]}, {\"fc\": \"#00007F\", \"o\": [5.0645661384546505, 0.6238657381360954]}, {\"fc\": \"#00007F\", \"o\": [5.130837417657947, 0.42063486087819163]}, {\"fc\": \"#00007F\", \"o\": [4.844275432241067, 0.33119131042284505]}, {\"fc\": \"#00007F\", \"o\": [5.176510872919131, 0.20151823708777453]}, {\"fc\": \"#00007F\", \"o\": [4.66364411495694, 0.29551214098041106]}, {\"fc\": \"#00007F\", \"o\": [5.382849134509174, 0.294312294658575]}, {\"fc\": \"#00007F\", \"o\": [5.023526869312312, 0.2584275824852433]}, {\"fc\": \"#7CFF79\", \"o\": [7.099886223518626, 1.4989462365111552]}, {\"fc\": \"#7CFF79\", \"o\": [6.454717939563357, 1.5290257558241185]}, {\"fc\": \"#7CFF79\", \"o\": [6.958761834978345, 1.506712456878768]}, {\"fc\": \"#7CFF79\", \"o\": [5.556815718623305, 1.3777416468213228]}, {\"fc\": \"#7CFF79\", \"o\": [6.577024486163991, 1.5550198465042657]}, {\"fc\": \"#7CFF79\", \"o\": [5.708260873161247, 1.3617467405344335]}, {\"fc\": \"#7CFF79\", \"o\": [6.337892681485628, 1.6861808694071134]}, {\"fc\": \"#7CFF79\", \"o\": [4.9683006882664085, 1.0075069568356416]}, {\"fc\": \"#7CFF79\", \"o\": [6.658781528319267, 1.3228607993415933]}, {\"fc\": \"#7CFF79\", \"o\": [5.2052056601469445, 1.4218823548458228]}, {\"fc\": \"#7CFF79\", \"o\": [5.015064199836418, 1.0994779848375573]}, {\"fc\": \"#7CFF79\", \"o\": [5.960814840448379, 1.5444591163801504]}, {\"fc\": \"#7CFF79\", \"o\": [6.062183564174119, 1.050680954841573]}, {\"fc\": \"#7CFF79\", \"o\": [6.197040808986233, 1.4285013406869287]}, {\"fc\": \"#7CFF79\", \"o\": [5.63135320216855, 1.372572704723528]}, {\"fc\": \"#7CFF79\", \"o\": [6.740755044871917, 1.4002849502138954]}, {\"fc\": \"#7CFF79\", \"o\": [5.666165265760427, 1.5142131109975212]}, {\"fc\": \"#7CFF79\", \"o\": [5.830335452875179, 1.0433743860790454]}, {\"fc\": \"#7CFF79\", \"o\": [6.2364845167954375, 1.524769979298187]}, {\"fc\": \"#7CFF79\", \"o\": [5.644117200120547, 1.101614158383419]}, {\"fc\": \"#7CFF79\", \"o\": [5.9296851862731215, 1.8779534527983848]}, {\"fc\": \"#7CFF79\", \"o\": [6.144471360541937, 1.383139896680292]}, {\"fc\": \"#7CFF79\", \"o\": [6.347211425075296, 1.5242369146901027]}, {\"fc\": \"#7CFF79\", \"o\": [6.185116392648632, 1.2694917367372256]}, {\"fc\": \"#7CFF79\", \"o\": [6.41564288380276, 1.3876037373916799]}, {\"fc\": \"#7CFF79\", \"o\": [6.632226463414303, 1.4749420585706414]}, {\"fc\": \"#7CFF79\", \"o\": [6.857840614107337, 1.4454440776447168]}, {\"fc\": \"#7CFF79\", \"o\": [6.719172805365719, 1.7895950774942597]}, {\"fc\": \"#7CFF79\", \"o\": [6.037676978007725, 1.5230336395252295]}, {\"fc\": \"#7CFF79\", \"o\": [5.764698561804867, 1.0278108708108424]}, {\"fc\": \"#7CFF79\", \"o\": [5.565151516778909, 1.1932264202888339]}, {\"fc\": \"#7CFF79\", \"o\": [5.515055650471584, 1.092265312408356]}, {\"fc\": \"#7CFF79\", \"o\": [5.819278789431, 1.26150452357094]}, {\"fc\": \"#7CFF79\", \"o\": [6.061559106431039, 1.674684581626726]}, {\"fc\": \"#7CFF79\", \"o\": [5.475286773027811, 1.501475734622945]}, {\"fc\": \"#7CFF79\", \"o\": [6.045915457384043, 1.6349812476650378]}, {\"fc\": \"#7CFF79\", \"o\": [6.72778326884466, 1.5205248490564054]}, {\"fc\": \"#7CFF79\", \"o\": [6.396585051628201, 1.3957838638268676]}, {\"fc\": \"#7CFF79\", \"o\": [5.614982874237223, 1.3845336773739045]}, {\"fc\": \"#7CFF79\", \"o\": [5.558830643252964, 1.3891026727695728]}, {\"fc\": \"#7CFF79\", \"o\": [5.506771338560184, 1.2893576408150762]}, {\"fc\": \"#7CFF79\", \"o\": [6.151040589481382, 1.4267924987880205]}, {\"fc\": \"#7CFF79\", \"o\": [5.844597214761113, 1.2001825346073192]}, {\"fc\": \"#7CFF79\", \"o\": [5.062062817080695, 1.0697685864416486]}, {\"fc\": \"#7CFF79\", \"o\": [5.634088782910842, 1.37466223962439]}, {\"fc\": \"#7CFF79\", \"o\": [5.788051507175449, 1.2844132380691708]}, {\"fc\": \"#7CFF79\", \"o\": [5.76504665578786, 1.3848846433048856]}, {\"fc\": \"#7CFF79\", \"o\": [6.245564322614669, 1.319446733942039]}, {\"fc\": \"#7CFF79\", \"o\": [5.122516963867632, 1.1762918151709938]}, {\"fc\": \"#7CFF79\", \"o\": [5.702902851455477, 1.3227048710155729]}, {\"fc\": \"#7F0000\", \"o\": [6.322020895103499, 2.579309234897325]}, {\"fc\": \"#7F0000\", \"o\": [5.8847656082102935, 1.9169125643969271]}, {\"fc\": \"#7F0000\", \"o\": [7.102102256290003, 2.185080250021786]}, {\"fc\": \"#7F0000\", \"o\": [6.321873020918329, 1.8425844386426775]}, {\"fc\": \"#7F0000\", \"o\": [6.5464661091203995, 2.2302106744151162]}, {\"fc\": \"#7F0000\", \"o\": [7.648599987894167, 2.1749964009613385]}, {\"fc\": \"#7F0000\", \"o\": [4.994362775543955, 1.7197516805845103]}, {\"fc\": \"#7F0000\", \"o\": [7.330189634552601, 1.8225397826860146]}, {\"fc\": \"#7F0000\", \"o\": [6.7698044241361455, 1.8729620924154617]}, {\"fc\": \"#7F0000\", \"o\": [7.218306783199179, 2.5711784266343853]}, {\"fc\": \"#7F0000\", \"o\": [6.584941225766065, 2.0238899606224634]}, {\"fc\": \"#7F0000\", \"o\": [6.414207588775992, 1.9776599135076987]}, {\"fc\": \"#7F0000\", \"o\": [6.829963709413679, 2.129167629330241]}, {\"fc\": \"#7F0000\", \"o\": [5.7745227751880925, 2.0181247849648463]}, {\"fc\": \"#7F0000\", \"o\": [5.891915473138454, 2.491259589073047]}, {\"fc\": \"#7F0000\", \"o\": [6.416841121107455, 2.3889982865333135]}, {\"fc\": \"#7F0000\", \"o\": [6.522891937429048, 1.840851259884047]}, {\"fc\": \"#7F0000\", \"o\": [7.720594447234034, 2.248213098280573]}, {\"fc\": \"#7F0000\", \"o\": [7.720066633693855, 2.386988774002282]}, {\"fc\": \"#7F0000\", \"o\": [6.082046061957738, 1.580718490244431]}, {\"fc\": \"#7F0000\", \"o\": [6.934379411006562, 2.353884074390203]}, {\"fc\": \"#7F0000\", \"o\": [5.617980562281337, 2.0041499544258374]}, {\"fc\": \"#7F0000\", \"o\": [7.798981711347784, 2.0435906081250317]}, {\"fc\": \"#7F0000\", \"o\": [6.304629815116675, 1.8711351070581086]}, {\"fc\": \"#7F0000\", \"o\": [6.765439107566598, 2.1506074140461733]}, {\"fc\": \"#7F0000\", \"o\": [7.249796824616699, 1.8272476978906937]}, {\"fc\": \"#7F0000\", \"o\": [6.2964214892919435, 1.862718476839224]}, {\"fc\": \"#7F0000\", \"o\": [6.1859642953066, 1.8234547609695029]}, {\"fc\": \"#7F0000\", \"o\": [6.486598455740721, 2.1276534972852934]}, {\"fc\": \"#7F0000\", \"o\": [7.204221343973254, 1.6534517740398347]}, {\"fc\": \"#7F0000\", \"o\": [7.41810737262156, 1.927697773623496]}, {\"fc\": \"#7F0000\", \"o\": [7.946542036310617, 2.05649442561218]}, {\"fc\": \"#7F0000\", \"o\": [6.482970103817224, 2.2981573446503734]}, {\"fc\": \"#7F0000\", \"o\": [6.347141375296634, 1.5481162907302606]}, {\"fc\": \"#7F0000\", \"o\": [6.140651222285372, 1.4425886121754743]}, {\"fc\": \"#7F0000\", \"o\": [7.755723580240427, 2.361552239685412]}, {\"fc\": \"#7F0000\", \"o\": [6.390601543952723, 2.462275583544863]}, {\"fc\": \"#7F0000\", \"o\": [6.461233606556314, 1.883801323556316]}, {\"fc\": \"#7F0000\", \"o\": [6.05769332455086, 1.8326522066134092]}, {\"fc\": \"#7F0000\", \"o\": [6.931919784761067, 2.1192554027182853]}, {\"fc\": \"#7F0000\", \"o\": [6.7818532385777495, 2.442231483755515]}, {\"fc\": \"#7F0000\", \"o\": [6.907488198152424, 2.336337631543308]}, {\"fc\": \"#7F0000\", \"o\": [5.814475345627497, 1.921198665276237]}, {\"fc\": \"#7F0000\", \"o\": [6.852262506592783, 2.341694500979048]}, {\"fc\": \"#7F0000\", \"o\": [6.780746683526441, 2.520852868546693]}, {\"fc\": \"#7F0000\", \"o\": [6.771339935314962, 2.398491119977099]}, {\"fc\": \"#7F0000\", \"o\": [6.3322609707290045, 1.9321378959987987]}, {\"fc\": \"#7F0000\", \"o\": [6.509823587726695, 2.047739637225992]}, {\"fc\": \"#7F0000\", \"o\": [6.22814622870314, 2.3085403144159344]}, {\"fc\": \"#7F0000\", \"o\": [5.911827914718795, 1.881633157869167]}];\n",
        "\n",
        "  this.offset_func = function(d){\n",
        "     var offset = d.o ? d.o : [[0, 0]];\n",
        "\n",
        "       offset = [this.ax.x(offset[0]), this.ax.y(offset[1])];\n",
        "\n",
        "     return \"translate(\" + offset  + \")\";\n",
        "  };\n",
        "\n",
        "  this.path_func = function(d){\n",
        "     var path = d.p ? d.p : [[\"M\", [0.0, 0.5]], [\"C\", [0.13260155, 0.5, 0.25978993539242673, 0.44731684579412084, 0.3535533905932738, 0.3535533905932738]], [\"C\", [0.44731684579412084, 0.25978993539242673, 0.5, 0.13260155, 0.5, 0.0]], [\"C\", [0.5, -0.13260155, 0.44731684579412084, -0.25978993539242673, 0.3535533905932738, -0.3535533905932738]], [\"C\", [0.25978993539242673, -0.44731684579412084, 0.13260155, -0.5, 0.0, -0.5]], [\"C\", [-0.13260155, -0.5, -0.25978993539242673, -0.44731684579412084, -0.3535533905932738, -0.3535533905932738]], [\"C\", [-0.44731684579412084, -0.25978993539242673, -0.5, -0.13260155, -0.5, 0.0]], [\"C\", [-0.5, 0.13260155, -0.44731684579412084, 0.25978993539242673, -0.3535533905932738, 0.3535533905932738]], [\"C\", [-0.25978993539242673, 0.44731684579412084, -0.13260155, 0.5, 0.0, 0.5]], [\"Z\", [0.0, 0.5]]];\n",
        "     var size = d.s ? d.s : 7.0272836892630659;\n",
        "\n",
        "       var xscale = function(x){return size * x;};\n",
        "       var yscale = function(y){return size * y;};\n",
        "\n",
        "     return construct_SVG_path(path, xscale, yscale);\n",
        "  };\n",
        "\n",
        "  this.style_func = function(d){\n",
        "     var edgecolor = d.ec ? d.ec : \"#000000\";\n",
        "     var facecolor = d.fc ? d.fc : \"none\";\n",
        "     var linewidth = d.lw ? d.lw : 1.0;\n",
        "     var dasharray = d.ls ? d.ls : \"10,0\";\n",
        "     return \"stroke: \" + edgecolor + \"; \" +\n",
        "            \"stroke-width: \" + linewidth + \"; \" +\n",
        "            \"stroke-dasharray: \" + dasharray + \"; \" +\n",
        "            \"fill: \" + facecolor + \"; \" +\n",
        "            \"stroke-opacity: 0.3; \" +\n",
        "            \"fill-opacity: 0.3\";\n",
        "  };\n",
        "\n",
        "  this.draw = function(){\n",
        "    this.g = this.ax.axes.append(\"svg:g\");\n",
        "\n",
        "    this.g.selectAll(\"paths-3\")\n",
        "      .data(this.data)\n",
        "      .enter().append(\"svg:path\")\n",
        "          .attr('class', 'paths3')\n",
        "          .attr(\"d\", this.path_func.bind(this))\n",
        "          .attr(\"style\", this.style_func.bind(this))\n",
        "          .attr(\"transform\", this.offset_func.bind(this));\n",
        "  };\n",
        "\n",
        "  this.zoomed = function(){\n",
        "    this.g.selectAll(\".paths3\")\n",
        "\n",
        "\n",
        "               .attr(\"transform\", this.offset_func.bind(this))\n",
        "             ;\n",
        "  };\n",
        "};\n",
        "ax1.add_element(coll5305d46e68a043f08c7075f7676d60d8);\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "    var ax2 = new Axes(fig, [0.28023255813953485, 0.74069767441860468, 0.20930232558139533, 0.20930232558139528], [1.5, 5.0], [-0.5, 3.0],\n",
        "                               \"linear\", \"linear\",\n",
        "                               [1.5, 5.0], [-0.5, 3.0],\n",
        "                               false, false,\n",
        "                               \"axes2\",\n",
        "                               \"clipa470b298b67b466f8ed927d98d93d2572\", true);\n",
        "\n",
        "\n",
        "\n",
        "// Add an Axis element\n",
        "ax2.add_element(new Axis(ax2, \"bottom\",\n",
        "                                 8, null,\n",
        "                                 \"\"));\n",
        "\n",
        "\n",
        "\n",
        "// Add an Axis element\n",
        "ax2.add_element(new Axis(ax2, \"left\",\n",
        "                                 8, null,\n",
        "                                 \"\"));\n",
        "\n",
        "\n",
        "\n",
        "// Add a Collection\n",
        "var coll764ba3e093fa4271819b8da23e6e7370 = new function(){\n",
        "  this.ax = ax2;\n",
        "  this.data = [{\"fc\": \"#00007F\", \"o\": [3.5125331359585066, 0.26211408454795315]}, {\"fc\": \"#00007F\", \"o\": [3.067108353103612, 0.24207739258282485]}, {\"fc\": \"#00007F\", \"o\": [3.211747866320402, 0.2518855607938784]}, {\"fc\": \"#00007F\", \"o\": [3.1019646162589813, 0.21714209929972506]}, {\"fc\": \"#00007F\", \"o\": [3.6878254683939384, 0.29174088458386305]}, {\"fc\": \"#00007F\", \"o\": [3.9819787360604217, 0.4709592319645498]}, {\"fc\": \"#00007F\", \"o\": [3.47309712381423, 0.35491414139192506]}, {\"fc\": \"#00007F\", \"o\": [3.4479778119293454, 0.2284565978776942]}, {\"fc\": \"#00007F\", \"o\": [2.9011974848676187, 0.29589379233349267]}, {\"fc\": \"#00007F\", \"o\": [3.1066776771316675, 0.15169766687624028]}, {\"fc\": \"#00007F\", \"o\": [3.74619934338649, 0.2237893111942842]}, {\"fc\": \"#00007F\", \"o\": [3.476023059739062, 0.24424269319648467]}, {\"fc\": \"#00007F\", \"o\": [3.0860833357313426, 0.10327757561343147]}, {\"fc\": \"#00007F\", \"o\": [3.051710441925852, 0.11556226435907532]}, {\"fc\": \"#00007F\", \"o\": [4.047292912565483, 0.2743657971827985]}, {\"fc\": \"#00007F\", \"o\": [4.45422057804723, 0.48160719343562364]}, {\"fc\": \"#00007F\", \"o\": [3.9731280168954792, 0.4042087400415593]}, {\"fc\": \"#00007F\", \"o\": [3.587273807590237, 0.3309352277383192]}, {\"fc\": \"#00007F\", \"o\": [3.8175635265168553, 0.380215760058558]}, {\"fc\": \"#00007F\", \"o\": [3.8851762245899537, 0.37083473385596416]}, {\"fc\": \"#00007F\", \"o\": [3.476667646665023, 0.2754392893635559]}, {\"fc\": \"#00007F\", \"o\": [3.7301919052816452, 0.45625460778737825]}, {\"fc\": \"#00007F\", \"o\": [3.627781642305306, 0.25243453840860036]}, {\"fc\": \"#00007F\", \"o\": [3.3060078996279145, 0.5243909256516152]}, {\"fc\": \"#00007F\", \"o\": [3.455834883561251, 0.2198405109065725]}, {\"fc\": \"#00007F\", \"o\": [3.004500177152244, 0.24500801580814618]}, {\"fc\": \"#00007F\", \"o\": [3.469501956207217, 0.4062750857139841]}, {\"fc\": \"#00007F\", 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{\"fc\": \"#7CFF79\", \"o\": [2.8831452597529763, 1.3617467405344335]}, {\"fc\": \"#7CFF79\", \"o\": [3.388235926560353, 1.6861808694071134]}, {\"fc\": \"#7CFF79\", \"o\": [2.4593680427599716, 1.0075069568356416]}, {\"fc\": \"#7CFF79\", \"o\": [2.948419916212288, 1.3228607993415933]}, {\"fc\": \"#7CFF79\", \"o\": [2.7145272722773526, 1.4218823548458228]}, {\"fc\": \"#7CFF79\", \"o\": [2.045876071363899, 1.0994779848375573]}, {\"fc\": \"#7CFF79\", \"o\": [3.021228151792397, 1.5444591163801504]}, {\"fc\": \"#7CFF79\", \"o\": [2.2932617095744434, 1.050680954841573]}, {\"fc\": \"#7CFF79\", \"o\": [2.951624708679805, 1.4285013406869287]}, {\"fc\": \"#7CFF79\", \"o\": [2.9326892055661777, 1.372572704723528]}, {\"fc\": \"#7CFF79\", \"o\": [3.1669393252420055, 1.4002849502138954]}, {\"fc\": \"#7CFF79\", \"o\": [3.095070681239259, 1.5142131109975212]}, {\"fc\": \"#7CFF79\", \"o\": [2.7188129929746276, 1.0433743860790454]}, {\"fc\": \"#7CFF79\", \"o\": [2.234611907041435, 1.524769979298187]}, {\"fc\": \"#7CFF79\", \"o\": [2.589392079911959, 1.101614158383419]}, {\"fc\": \"#7CFF79\", \"o\": [3.296011444419958, 1.8779534527983848]}, {\"fc\": \"#7CFF79\", \"o\": [2.881934832575746, 1.383139896680292]}, {\"fc\": \"#7CFF79\", \"o\": [2.5531260796408994, 1.5242369146901027]}, {\"fc\": \"#7CFF79\", \"o\": [2.8659244525665097, 1.2694917367372256]}, {\"fc\": \"#7CFF79\", \"o\": [2.9201062196712555, 1.3876037373916799]}, {\"fc\": \"#7CFF79\", \"o\": [3.0930827746446776, 1.4749420585706414]}, {\"fc\": \"#7CFF79\", \"o\": [2.8654749268910975, 1.4454440776447168]}, {\"fc\": \"#7CFF79\", \"o\": [3.0171192671390505, 1.7895950774942597]}, {\"fc\": \"#7CFF79\", \"o\": [2.966406545232206, 1.5230336395252295]}, {\"fc\": \"#7CFF79\", \"o\": [2.630885491750595, 1.0278108708108424]}, {\"fc\": \"#7CFF79\", \"o\": [2.40727791057058, 1.1932264202888339]}, {\"fc\": \"#7CFF79\", \"o\": [2.477961609282258, 1.092265312408356]}, {\"fc\": \"#7CFF79\", \"o\": [2.7671318312039546, 1.26150452357094]}, {\"fc\": \"#7CFF79\", \"o\": [2.710871701214667, 1.674684581626726]}, {\"fc\": \"#7CFF79\", \"o\": [3.0540000899712028, 1.501475734622945]}, {\"fc\": \"#7CFF79\", \"o\": [3.406578289741625, 1.6349812476650378]}, {\"fc\": \"#7CFF79\", \"o\": [3.1016181749998766, 1.5205248490564054]}, {\"fc\": \"#7CFF79\", \"o\": [2.304869916622217, 1.3957838638268676]}, {\"fc\": \"#7CFF79\", \"o\": [3.0442978424845077, 1.3845336773739045]}, {\"fc\": \"#7CFF79\", \"o\": [2.507703153674096, 1.3891026727695728]}, {\"fc\": \"#7CFF79\", \"o\": [2.604512770746365, 1.2893576408150762]}, {\"fc\": \"#7CFF79\", \"o\": [3.0071324126596752, 1.4267924987880205]}, {\"fc\": \"#7CFF79\", \"o\": [2.6306641399256794, 1.2001825346073192]}, {\"fc\": \"#7CFF79\", \"o\": [2.3866642934011173, 1.0697685864416486]}, {\"fc\": \"#7CFF79\", \"o\": [2.7734745592705994, 1.37466223962439]}, {\"fc\": \"#7CFF79\", \"o\": [3.008261080463239, 1.2844132380691708]}, {\"fc\": \"#7CFF79\", \"o\": [2.9475767646074917, 1.3848846433048856]}, {\"fc\": \"#7CFF79\", \"o\": [2.979647229441498, 1.319446733942039]}, {\"fc\": \"#7CFF79\", \"o\": [2.5314091321088026, 1.1762918151709938]}, {\"fc\": \"#7CFF79\", \"o\": [2.8499225360596308, 1.3227048710155729]}, {\"fc\": \"#7F0000\", \"o\": [3.383410911138409, 2.579309234897325]}, {\"fc\": \"#7F0000\", \"o\": [2.743099894740833, 1.9169125643969271]}, {\"fc\": \"#7F0000\", \"o\": [3.0875920915465196, 2.185080250021786]}, {\"fc\": \"#7F0000\", \"o\": [2.996247928825719, 1.8425844386426775]}, {\"fc\": \"#7F0000\", \"o\": [3.0505677163043647, 2.2302106744151162]}, {\"fc\": \"#7F0000\", \"o\": [3.041307589831774, 2.1749964009613385]}, {\"fc\": \"#7F0000\", \"o\": [2.5086009989106217, 1.7197516805845103]}, {\"fc\": \"#7F0000\", \"o\": [2.9880811764808652, 1.8225397826860146]}, {\"fc\": \"#7F0000\", \"o\": [2.5694795919930784, 1.8729620924154617]}, {\"fc\": \"#7F0000\", \"o\": [3.6480343601699396, 2.5711784266343853]}, {\"fc\": \"#7F0000\", \"o\": [3.2197108641128067, 2.0238899606224634]}, {\"fc\": \"#7F0000\", \"o\": [2.799903100024044, 1.9776599135076987]}, {\"fc\": \"#7F0000\", \"o\": [3.013538493080966, 2.129167629330241]}, {\"fc\": \"#7F0000\", \"o\": [2.560522707614697, 2.0181247849648463]}, {\"fc\": \"#7F0000\", \"o\": [2.8388231599625424, 2.491259589073047]}, {\"fc\": \"#7F0000\", \"o\": [3.269805664274049, 2.3889982865333135]}, {\"fc\": \"#7F0000\", \"o\": [3.063156523340311, 1.840851259884047]}, {\"fc\": \"#7F0000\", \"o\": [3.8429689487039997, 2.248213098280573]}, {\"fc\": \"#7F0000\", \"o\": [2.6041975838438245, 2.386988774002282]}, {\"fc\": \"#7F0000\", \"o\": [2.274030428937211, 1.580718490244431]}, {\"fc\": \"#7F0000\", \"o\": [3.2610099359039655, 2.353884074390203]}, {\"fc\": \"#7F0000\", \"o\": [2.815654660474176, 2.0041499544258374]}, {\"fc\": \"#7F0000\", \"o\": [2.8549809889381303, 2.0435906081250317]}, {\"fc\": \"#7F0000\", \"o\": [2.708357423210295, 1.8711351070581086]}, {\"fc\": \"#7F0000\", \"o\": [3.3534979892231824, 2.1506074140461733]}, {\"fc\": \"#7F0000\", \"o\": [3.2034744689429377, 1.8272476978906937]}, {\"fc\": \"#7F0000\", \"o\": [2.879127139659853, 1.862718476839224]}, {\"fc\": \"#7F0000\", \"o\": [3.032892364677048, 1.8234547609695029]}, {\"fc\": \"#7F0000\", \"o\": [2.8520851181109275, 2.1276534972852934]}, {\"fc\": \"#7F0000\", \"o\": [3.099301558027177, 1.6534517740398347]}, {\"fc\": \"#7F0000\", \"o\": [2.8953552008048327, 1.927697773623496]}, {\"fc\": \"#7F0000\", \"o\": [3.8659725128691838, 2.05649442561218]}, {\"fc\": \"#7F0000\", \"o\": [2.844866603112297, 2.2981573446503734]}, {\"fc\": \"#7F0000\", \"o\": [2.8752081806621073, 1.5481162907302606]}, {\"fc\": \"#7F0000\", \"o\": [2.6076937711831945, 1.4425886121754743]}, {\"fc\": \"#7F0000\", \"o\": [3.061057638861625, 2.361552239685412]}, {\"fc\": \"#7F0000\", \"o\": [3.4502553958727975, 2.462275583544863]}, {\"fc\": \"#7F0000\", \"o\": [3.1984216994963273, 1.883801323556316]}, {\"fc\": \"#7F0000\", \"o\": [3.0496807379783846, 1.8326522066134092]}, {\"fc\": \"#7F0000\", \"o\": [3.1254182526793644, 2.1192554027182853]}, {\"fc\": \"#7F0000\", \"o\": [3.18663308698516, 2.442231483755515]}, {\"fc\": \"#7F0000\", \"o\": [3.160677068130774, 2.336337631543308]}, {\"fc\": \"#7F0000\", \"o\": [2.724680701616441, 1.921198665276237]}, {\"fc\": \"#7F0000\", \"o\": [3.2735881232764696, 2.341694500979048]}, {\"fc\": \"#7F0000\", \"o\": [3.3709821617603772, 2.520852868546693]}, {\"fc\": \"#7F0000\", \"o\": [3.0783906512452583, 2.398491119977099]}, {\"fc\": \"#7F0000\", \"o\": [2.5689996325431563, 1.9321378959987987]}, {\"fc\": \"#7F0000\", \"o\": [3.0719906896377975, 2.047739637225992]}, {\"fc\": \"#7F0000\", \"o\": [3.4643978423598427, 2.3085403144159344]}, {\"fc\": \"#7F0000\", \"o\": [3.0355314052432614, 1.881633157869167]}];\n",
        "\n",
        "  this.offset_func = function(d){\n",
        "     var offset = d.o ? d.o : [[0, 0]];\n",
        "\n",
        "       offset = [this.ax.x(offset[0]), this.ax.y(offset[1])];\n",
        "\n",
        "     return \"translate(\" + offset  + \")\";\n",
        "  };\n",
        "\n",
        "  this.path_func = function(d){\n",
        "     var path = d.p ? d.p : [[\"M\", [0.0, 0.5]], [\"C\", [0.13260155, 0.5, 0.25978993539242673, 0.44731684579412084, 0.3535533905932738, 0.3535533905932738]], [\"C\", [0.44731684579412084, 0.25978993539242673, 0.5, 0.13260155, 0.5, 0.0]], [\"C\", [0.5, -0.13260155, 0.44731684579412084, -0.25978993539242673, 0.3535533905932738, -0.3535533905932738]], [\"C\", [0.25978993539242673, -0.44731684579412084, 0.13260155, -0.5, 0.0, -0.5]], [\"C\", [-0.13260155, -0.5, -0.25978993539242673, -0.44731684579412084, -0.3535533905932738, -0.3535533905932738]], [\"C\", [-0.44731684579412084, -0.25978993539242673, -0.5, -0.13260155, -0.5, 0.0]], [\"C\", [-0.5, 0.13260155, -0.44731684579412084, 0.25978993539242673, -0.3535533905932738, 0.3535533905932738]], [\"C\", [-0.25978993539242673, 0.44731684579412084, -0.13260155, 0.5, 0.0, 0.5]], [\"Z\", [0.0, 0.5]]];\n",
        "     var size = d.s ? d.s : 7.0272836892630659;\n",
        "\n",
        "       var xscale = function(x){return size * x;};\n",
        "       var yscale = function(y){return size * y;};\n",
        "\n",
        "     return construct_SVG_path(path, xscale, yscale);\n",
        "  };\n",
        "\n",
        "  this.style_func = function(d){\n",
        "     var edgecolor = d.ec ? d.ec : \"#000000\";\n",
        "     var facecolor = d.fc ? d.fc : \"none\";\n",
        "     var linewidth = d.lw ? d.lw : 1.0;\n",
        "     var dasharray = d.ls ? d.ls : \"10,0\";\n",
        "     return \"stroke: \" + edgecolor + \"; \" +\n",
        "            \"stroke-width: \" + linewidth + \"; \" +\n",
        "            \"stroke-dasharray: \" + dasharray + \"; \" +\n",
        "            \"fill: \" + facecolor + \"; \" +\n",
        "            \"stroke-opacity: 0.3; \" +\n",
        "            \"fill-opacity: 0.3\";\n",
        "  };\n",
        "\n",
        "  this.draw = function(){\n",
        "    this.g = this.ax.axes.append(\"svg:g\");\n",
        "\n",
        "    this.g.selectAll(\"paths-3\")\n",
        "      .data(this.data)\n",
        "      .enter().append(\"svg:path\")\n",
        "          .attr('class', 'paths3')\n",
        "          .attr(\"d\", this.path_func.bind(this))\n",
        "          .attr(\"style\", this.style_func.bind(this))\n",
        "          .attr(\"transform\", this.offset_func.bind(this));\n",
        "  };\n",
        "\n",
        "  this.zoomed = function(){\n",
        "    this.g.selectAll(\".paths3\")\n",
        "\n",
        "\n",
        "               .attr(\"transform\", this.offset_func.bind(this))\n",
        "             ;\n",
        "  };\n",
        "};\n",
        "ax2.add_element(coll764ba3e093fa4271819b8da23e6e7370);\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "    var ax3 = new Axes(fig, [0.51046511627906976, 0.74069767441860468, 0.20930232558139539, 0.20930232558139528], [0.0, 8.0], [-0.5, 3.0],\n",
        "                               \"linear\", \"linear\",\n",
        "                               [0.0, 8.0], [-0.5, 3.0],\n",
        "                               false, false,\n",
        "                               \"axes3\",\n",
        "                               \"clipa470b298b67b466f8ed927d98d93d2573\", true);\n",
        "\n",
        "\n",
        "\n",
        "// Add an Axis element\n",
        "ax3.add_element(new Axis(ax3, \"bottom\",\n",
        "                                 9, null,\n",
        "                                 \"\"));\n",
        "\n",
        "\n",
        "\n",
        "// Add an Axis element\n",
        "ax3.add_element(new Axis(ax3, \"left\",\n",
        "                                 8, null,\n",
        "                                 \"\"));\n",
        "\n",
        "\n",
        "\n",
        "// Add a Collection\n",
        "var coll5adcefced10f4ab7be29eacca4bf9d1d = new function(){\n",
        "  this.ax = ax3;\n",
        "  this.data = [{\"fc\": \"#00007F\", \"o\": [1.4316161330242176, 0.26211408454795315]}, {\"fc\": \"#00007F\", \"o\": [1.493878550986911, 0.24207739258282485]}, {\"fc\": \"#00007F\", \"o\": [1.396631644818969, 0.2518855607938784]}, {\"fc\": \"#00007F\", \"o\": [1.5468011286797387, 0.21714209929972506]}, {\"fc\": \"#00007F\", \"o\": [1.424951307384745, 0.29174088458386305]}, {\"fc\": \"#00007F\", \"o\": [1.7672571420949261, 0.4709592319645498]}, {\"fc\": \"#00007F\", \"o\": [1.4302957280511641, 0.35491414139192506]}, {\"fc\": \"#00007F\", \"o\": [1.5816073106050164, 0.2284565978776942]}, {\"fc\": \"#00007F\", \"o\": [1.4010996168015073, 0.29589379233349267]}, {\"fc\": \"#00007F\", \"o\": [1.5786180858613859, 0.15169766687624028]}, {\"fc\": \"#00007F\", \"o\": [1.598839817226742, 0.2237893111942842]}, {\"fc\": \"#00007F\", \"o\": [1.6191135712046822, 0.24424269319648467]}, {\"fc\": \"#00007F\", \"o\": [1.4750660167728191, 0.10327757561343147]}, {\"fc\": \"#00007F\", \"o\": [1.1469671428712054, 0.11556226435907532]}, {\"fc\": \"#00007F\", \"o\": [1.2068579618827082, 0.2743657971827985]}, {\"fc\": \"#00007F\", \"o\": [1.5163388206986248, 0.48160719343562364]}, {\"fc\": \"#00007F\", \"o\": [1.3329965081071364, 0.4042087400415593]}, {\"fc\": \"#00007F\", \"o\": [1.4477896372052157, 0.3309352277383192]}, {\"fc\": \"#00007F\", \"o\": [1.7093066428155288, 0.380215760058558]}, {\"fc\": \"#00007F\", \"o\": [1.5116402517614769, 0.37083473385596416]}, {\"fc\": \"#00007F\", \"o\": [1.7181248749546212, 0.2754392893635559]}, {\"fc\": \"#00007F\", \"o\": [1.535930727921415, 0.45625460778737825]}, {\"fc\": \"#00007F\", \"o\": [1.0507628625793162, 0.25243453840860036]}, {\"fc\": \"#00007F\", \"o\": [1.7476181991698319, 0.5243909256516152]}, {\"fc\": \"#00007F\", \"o\": [1.9639657824082728, 0.2198405109065725]}, {\"fc\": \"#00007F\", \"o\": [1.6387235667137088, 0.24500801580814618]}, {\"fc\": \"#00007F\", \"o\": [1.6138795828169066, 0.4062750857139841]}, {\"fc\": 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[4.625568258356824, 1.5550198465042657]}, {\"fc\": \"#7CFF79\", \"o\": [4.577985584696441, 1.3617467405344335]}, {\"fc\": \"#7CFF79\", \"o\": [4.779534320953203, 1.6861808694071134]}, {\"fc\": \"#7CFF79\", \"o\": [3.3126116923847713, 1.0075069568356416]}, {\"fc\": \"#7CFF79\", \"o\": [4.697711210226701, 1.3228607993415933]}, {\"fc\": \"#7CFF79\", \"o\": [3.9294801561075885, 1.4218823548458228]}, {\"fc\": \"#7CFF79\", \"o\": [3.5840587045851127, 1.0994779848375573]}, {\"fc\": \"#7CFF79\", \"o\": [4.287938113865082, 1.5444591163801504]}, {\"fc\": \"#7CFF79\", \"o\": [4.05749399483788, 1.050680954841573]}, {\"fc\": \"#7CFF79\", \"o\": [4.781647734531785, 1.4285013406869287]}, {\"fc\": \"#7CFF79\", \"o\": [3.633163350924255, 1.372572704723528]}, {\"fc\": \"#7CFF79\", \"o\": [4.412228768313423, 1.4002849502138954]}, {\"fc\": \"#7CFF79\", \"o\": [4.54496531288017, 1.5142131109975212]}, {\"fc\": \"#7CFF79\", \"o\": [4.132651751588993, 1.0433743860790454]}, {\"fc\": \"#7CFF79\", \"o\": [4.515116141416526, 1.524769979298187]}, {\"fc\": \"#7CFF79\", \"o\": [3.949288555796956, 1.101614158383419]}, {\"fc\": \"#7CFF79\", \"o\": [4.883631847319787, 1.8779534527983848]}, {\"fc\": \"#7CFF79\", \"o\": [4.010205471217149, 1.383139896680292]}, {\"fc\": \"#7CFF79\", \"o\": [4.993852163375521, 1.5242369146901027]}, {\"fc\": \"#7CFF79\", \"o\": [4.756148076263992, 1.2694917367372256]}, {\"fc\": \"#7CFF79\", \"o\": [4.365385742742979, 1.3876037373916799]}, {\"fc\": \"#7CFF79\", \"o\": [4.418602365843915, 1.4749420585706414]}, {\"fc\": \"#7CFF79\", \"o\": [4.807778004737693, 1.4454440776447168]}, {\"fc\": \"#7CFF79\", \"o\": [5.034525267012793, 1.7895950774942597]}, {\"fc\": \"#7CFF79\", \"o\": [4.513201143151165, 1.5230336395252295]}, {\"fc\": \"#7CFF79\", \"o\": [3.5273476557676915, 1.0278108708108424]}, {\"fc\": \"#7CFF79\", \"o\": [3.814038595245608, 1.1932264202888339]}, {\"fc\": \"#7CFF79\", \"o\": [3.7845744954853653, 1.092265312408356]}, {\"fc\": \"#7CFF79\", \"o\": [3.916901184500899, 1.26150452357094]}, {\"fc\": \"#7CFF79\", \"o\": [5.1648051446763334, 1.674684581626726]}, {\"fc\": \"#7CFF79\", \"o\": [4.5520495701206265, 1.501475734622945]}, {\"fc\": \"#7CFF79\", \"o\": [4.553342214548989, 1.6349812476650378]}, {\"fc\": \"#7CFF79\", \"o\": [4.7088546047033875, 1.5205248490564054]}, {\"fc\": \"#7CFF79\", \"o\": [4.492441008962179, 1.3957838638268676]}, {\"fc\": \"#7CFF79\", \"o\": [4.181503772068848, 1.3845336773739045]}, {\"fc\": \"#7CFF79\", \"o\": [4.082479582874754, 1.3891026727695728]}, {\"fc\": \"#7CFF79\", \"o\": [4.45163250166473, 1.2893576408150762]}, {\"fc\": \"#7CFF79\", \"o\": [4.689358307197675, 1.4267924987880205]}, {\"fc\": \"#7CFF79\", \"o\": [4.092961974827514, 1.2001825346073192]}, {\"fc\": \"#7CFF79\", \"o\": [3.380525920353661, 1.0697685864416486]}, {\"fc\": \"#7CFF79\", \"o\": [4.229884628698837, 1.37466223962439]}, {\"fc\": \"#7CFF79\", \"o\": [4.263176687173466, 1.2844132380691708]}, {\"fc\": \"#7CFF79\", \"o\": [4.245238441470811, 1.3848846433048856]}, {\"fc\": \"#7CFF79\", \"o\": [4.373945940724372, 1.319446733942039]}, {\"fc\": \"#7CFF79\", \"o\": [3.0086405071395443, 1.1762918151709938]}, {\"fc\": \"#7CFF79\", \"o\": [4.121915128499847, 1.3227048710155729]}, {\"fc\": \"#7F0000\", \"o\": [6.083402153614916, 2.579309234897325]}, {\"fc\": \"#7F0000\", \"o\": [5.1155309251041565, 1.9169125643969271]}, {\"fc\": \"#7F0000\", \"o\": [5.911995483962641, 2.185080250021786]}, {\"fc\": \"#7F0000\", \"o\": [5.635539938931352, 1.8425844386426775]}, {\"fc\": \"#7F0000\", \"o\": [5.822285074439087, 2.2302106744151162]}, {\"fc\": \"#7F0000\", \"o\": [6.697192428831586, 2.1749964009613385]}, {\"fc\": \"#7F0000\", \"o\": [4.586952313348642, 1.7197516805845103]}, {\"fc\": \"#7F0000\", \"o\": [6.3473448847207425, 1.8225397826860146]}, {\"fc\": \"#7F0000\", \"o\": [5.8712365427227, 1.8729620924154617]}, {\"fc\": \"#7F0000\", \"o\": [6.183175997579987, 2.5711784266343853]}, {\"fc\": \"#7F0000\", \"o\": [5.13866504714385, 2.0238899606224634]}, {\"fc\": \"#7F0000\", \"o\": [5.341146903125889, 1.9776599135076987]}, {\"fc\": \"#7F0000\", \"o\": [5.556394537310805, 2.129167629330241]}, {\"fc\": \"#7F0000\", \"o\": [5.005464767575096, 2.0181247849648463]}, {\"fc\": \"#7F0000\", \"o\": [5.105739523971555, 2.491259589073047]}, {\"fc\": \"#7F0000\", \"o\": [5.363144206170341, 2.3889982865333135]}, {\"fc\": \"#7F0000\", \"o\": [5.506888083035963, 1.840851259884047]}, {\"fc\": \"#7F0000\", \"o\": [6.744720066270181, 2.248213098280573]}, {\"fc\": \"#7F0000\", \"o\": [6.919377206672821, 2.386988774002282]}, {\"fc\": \"#7F0000\", \"o\": [5.027754824266786, 1.580718490244431]}, {\"fc\": \"#7F0000\", \"o\": [5.703809981729022, 2.353884074390203]}, {\"fc\": \"#7F0000\", \"o\": [4.961963260796307, 2.0041499544258374]}, {\"fc\": \"#7F0000\", \"o\": [6.754418071811609, 2.0435906081250317]}, {\"fc\": \"#7F0000\", \"o\": [4.967138825114432, 1.8711351070581086]}, {\"fc\": \"#7F0000\", \"o\": [5.746545023726616, 2.1506074140461733]}, {\"fc\": \"#7F0000\", \"o\": [6.085981384437098, 1.8272476978906937]}, {\"fc\": \"#7F0000\", \"o\": [4.867566628880715, 1.862718476839224]}, {\"fc\": \"#7F0000\", \"o\": [4.959690969547166, 1.8234547609695029]}, {\"fc\": \"#7F0000\", \"o\": [5.66564341896108, 2.1276534972852934]}, {\"fc\": \"#7F0000\", \"o\": [5.882346936981724, 1.6534517740398347]}, {\"fc\": \"#7F0000\", \"o\": [6.117911816358235, 1.927697773623496]}, {\"fc\": \"#7F0000\", \"o\": [6.419242343276655, 2.05649442561218]}, {\"fc\": \"#7F0000\", \"o\": [5.60750916516096, 2.2981573446503734]}, {\"fc\": \"#7F0000\", \"o\": [5.155416025194641, 1.5481162907302606]}, {\"fc\": \"#7F0000\", \"o\": [5.680713573206991, 1.4425886121754743]}, {\"fc\": \"#7F0000\", \"o\": [6.150158971869622, 2.361552239685412]}, {\"fc\": \"#7F0000\", \"o\": [5.6716568335616495, 2.462275583544863]}, {\"fc\": \"#7F0000\", \"o\": [5.569328124116086, 1.883801323556316]}, {\"fc\": \"#7F0000\", \"o\": [4.871690493738232, 1.8326522066134092]}, {\"fc\": \"#7F0000\", \"o\": [5.415694533239563, 2.1192554027182853]}, {\"fc\": \"#7F0000\", \"o\": [5.63226710529319, 2.442231483755515]}, {\"fc\": \"#7F0000\", \"o\": [5.188390209679276, 2.336337631543308]}, {\"fc\": \"#7F0000\", \"o\": [5.153481528498618, 1.921198665276237]}, {\"fc\": \"#7F0000\", \"o\": [5.996272609520356, 2.341694500979048]}, {\"fc\": \"#7F0000\", \"o\": [5.788332329486726, 2.520852868546693]}, {\"fc\": \"#7F0000\", \"o\": [5.228462948084129, 2.398491119977099]}, {\"fc\": \"#7F0000\", \"o\": [5.017654276785061, 1.9321378959987987]}, {\"fc\": \"#7F0000\", \"o\": [5.25621760345115, 2.047739637225992]}, {\"fc\": \"#7F0000\", \"o\": [5.45365695325202, 2.3085403144159344]}, {\"fc\": \"#7F0000\", \"o\": [5.184593837912855, 1.881633157869167]}];\n",
        "\n",
        "  this.offset_func = function(d){\n",
        "     var offset = d.o ? d.o : [[0, 0]];\n",
        "\n",
        "       offset = [this.ax.x(offset[0]), this.ax.y(offset[1])];\n",
        "\n",
        "     return \"translate(\" + offset  + \")\";\n",
        "  };\n",
        "\n",
        "  this.path_func = function(d){\n",
        "     var path = d.p ? d.p : [[\"M\", [0.0, 0.5]], [\"C\", [0.13260155, 0.5, 0.25978993539242673, 0.44731684579412084, 0.3535533905932738, 0.3535533905932738]], [\"C\", [0.44731684579412084, 0.25978993539242673, 0.5, 0.13260155, 0.5, 0.0]], [\"C\", [0.5, -0.13260155, 0.44731684579412084, -0.25978993539242673, 0.3535533905932738, -0.3535533905932738]], [\"C\", [0.25978993539242673, -0.44731684579412084, 0.13260155, -0.5, 0.0, -0.5]], [\"C\", [-0.13260155, -0.5, -0.25978993539242673, -0.44731684579412084, -0.3535533905932738, -0.3535533905932738]], [\"C\", [-0.44731684579412084, -0.25978993539242673, -0.5, -0.13260155, -0.5, 0.0]], [\"C\", [-0.5, 0.13260155, -0.44731684579412084, 0.25978993539242673, -0.3535533905932738, 0.3535533905932738]], [\"C\", [-0.25978993539242673, 0.44731684579412084, -0.13260155, 0.5, 0.0, 0.5]], [\"Z\", [0.0, 0.5]]];\n",
        "     var size = d.s ? d.s : 7.0272836892630659;\n",
        "\n",
        "       var xscale = function(x){return size * x;};\n",
        "       var yscale = function(y){return size * y;};\n",
        "\n",
        "     return construct_SVG_path(path, xscale, yscale);\n",
        "  };\n",
        "\n",
        "  this.style_func = function(d){\n",
        "     var edgecolor = d.ec ? d.ec : \"#000000\";\n",
        "     var facecolor = d.fc ? d.fc : \"none\";\n",
        "     var linewidth = d.lw ? d.lw : 1.0;\n",
        "     var dasharray = d.ls ? d.ls : \"10,0\";\n",
        "     return \"stroke: \" + edgecolor + \"; \" +\n",
        "            \"stroke-width: \" + linewidth + \"; \" +\n",
        "            \"stroke-dasharray: \" + dasharray + \"; \" +\n",
        "            \"fill: \" + facecolor + \"; \" +\n",
        "            \"stroke-opacity: 0.3; \" +\n",
        "            \"fill-opacity: 0.3\";\n",
        "  };\n",
        "\n",
        "  this.draw = function(){\n",
        "    this.g = this.ax.axes.append(\"svg:g\");\n",
        "\n",
        "    this.g.selectAll(\"paths-3\")\n",
        "      .data(this.data)\n",
        "      .enter().append(\"svg:path\")\n",
        "          .attr('class', 'paths3')\n",
        "          .attr(\"d\", this.path_func.bind(this))\n",
        "          .attr(\"style\", this.style_func.bind(this))\n",
        "          .attr(\"transform\", this.offset_func.bind(this));\n",
        "  };\n",
        "\n",
        "  this.zoomed = function(){\n",
        "    this.g.selectAll(\".paths3\")\n",
        "\n",
        "\n",
        "               .attr(\"transform\", this.offset_func.bind(this))\n",
        "             ;\n",
        "  };\n",
        "};\n",
        "ax3.add_element(coll5adcefced10f4ab7be29eacca4bf9d1d);\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "    var ax4 = new Axes(fig, [0.74069767441860468, 0.74069767441860468, 0.20930232558139528, 0.20930232558139528], [-0.5, 3.0], [-0.5, 3.0],\n",
        "                               \"linear\", \"linear\",\n",
        "                               [-0.5, 3.0], [-0.5, 3.0],\n",
        "                               false, false,\n",
        "                               \"axes4\",\n",
        "                               \"clipa470b298b67b466f8ed927d98d93d2574\", true);\n",
        "\n",
        "\n",
        "\n",
        "// Add an Axis element\n",
        "ax4.add_element(new Axis(ax4, \"bottom\",\n",
        "                                 8, null,\n",
        "                                 \"\"));\n",
        "\n",
        "\n",
        "\n",
        "// Add an Axis element\n",
        "ax4.add_element(new Axis(ax4, \"left\",\n",
        "                                 8, null,\n",
        "                                 \"\"));\n",
        "\n",
        "\n",
        "\n",
        "// Add a Collection\n",
        "var coll598fd2cc88e3401e98e7ba65a995b2f5 = new function(){\n",
        "  this.ax = ax4;\n",
        "  this.data = [{\"fc\": \"#00007F\", \"o\": [0.26211408454795315, 0.26211408454795315]}, {\"fc\": \"#00007F\", \"o\": [0.24207739258282485, 0.24207739258282485]}, {\"fc\": \"#00007F\", \"o\": [0.2518855607938784, 0.2518855607938784]}, {\"fc\": \"#00007F\", \"o\": [0.21714209929972506, 0.21714209929972506]}, {\"fc\": \"#00007F\", \"o\": [0.29174088458386305, 0.29174088458386305]}, {\"fc\": \"#00007F\", \"o\": [0.4709592319645498, 0.4709592319645498]}, {\"fc\": \"#00007F\", \"o\": [0.35491414139192506, 0.35491414139192506]}, {\"fc\": \"#00007F\", \"o\": [0.2284565978776942, 0.2284565978776942]}, {\"fc\": \"#00007F\", \"o\": [0.29589379233349267, 0.29589379233349267]}, {\"fc\": \"#00007F\", \"o\": [0.15169766687624028, 0.15169766687624028]}, {\"fc\": \"#00007F\", \"o\": [0.2237893111942842, 0.2237893111942842]}, {\"fc\": \"#00007F\", \"o\": [0.24424269319648467, 0.24424269319648467]}, {\"fc\": \"#00007F\", \"o\": [0.10327757561343147, 0.10327757561343147]}, {\"fc\": \"#00007F\", \"o\": [0.11556226435907532, 0.11556226435907532]}, {\"fc\": \"#00007F\", \"o\": [0.2743657971827985, 0.2743657971827985]}, {\"fc\": \"#00007F\", \"o\": [0.48160719343562364, 0.48160719343562364]}, {\"fc\": \"#00007F\", \"o\": [0.4042087400415593, 0.4042087400415593]}, {\"fc\": \"#00007F\", \"o\": [0.3309352277383192, 0.3309352277383192]}, {\"fc\": \"#00007F\", \"o\": [0.380215760058558, 0.380215760058558]}, {\"fc\": \"#00007F\", \"o\": [0.37083473385596416, 0.37083473385596416]}, {\"fc\": \"#00007F\", \"o\": [0.2754392893635559, 0.2754392893635559]}, {\"fc\": \"#00007F\", \"o\": [0.45625460778737825, 0.45625460778737825]}, {\"fc\": \"#00007F\", \"o\": [0.25243453840860036, 0.25243453840860036]}, {\"fc\": \"#00007F\", \"o\": [0.5243909256516152, 0.5243909256516152]}, {\"fc\": \"#00007F\", \"o\": [0.2198405109065725, 0.2198405109065725]}, {\"fc\": \"#00007F\", \"o\": [0.24500801580814618, 0.24500801580814618]}, {\"fc\": \"#00007F\", \"o\": [0.4062750857139841, 0.4062750857139841]}, 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\"#7F0000\", \"o\": [2.1506074140461733, 2.1506074140461733]}, {\"fc\": \"#7F0000\", \"o\": [1.8272476978906937, 1.8272476978906937]}, {\"fc\": \"#7F0000\", \"o\": [1.862718476839224, 1.862718476839224]}, {\"fc\": \"#7F0000\", \"o\": [1.8234547609695029, 1.8234547609695029]}, {\"fc\": \"#7F0000\", \"o\": [2.1276534972852934, 2.1276534972852934]}, {\"fc\": \"#7F0000\", \"o\": [1.6534517740398347, 1.6534517740398347]}, {\"fc\": \"#7F0000\", \"o\": [1.927697773623496, 1.927697773623496]}, {\"fc\": \"#7F0000\", \"o\": [2.05649442561218, 2.05649442561218]}, {\"fc\": \"#7F0000\", \"o\": [2.2981573446503734, 2.2981573446503734]}, {\"fc\": \"#7F0000\", \"o\": [1.5481162907302606, 1.5481162907302606]}, {\"fc\": \"#7F0000\", \"o\": [1.4425886121754743, 1.4425886121754743]}, {\"fc\": \"#7F0000\", \"o\": [2.361552239685412, 2.361552239685412]}, {\"fc\": \"#7F0000\", \"o\": [2.462275583544863, 2.462275583544863]}, {\"fc\": \"#7F0000\", \"o\": [1.883801323556316, 1.883801323556316]}, {\"fc\": \"#7F0000\", \"o\": [1.8326522066134092, 1.8326522066134092]}, {\"fc\": \"#7F0000\", \"o\": [2.1192554027182853, 2.1192554027182853]}, {\"fc\": \"#7F0000\", \"o\": [2.442231483755515, 2.442231483755515]}, {\"fc\": \"#7F0000\", \"o\": [2.336337631543308, 2.336337631543308]}, {\"fc\": \"#7F0000\", \"o\": [1.921198665276237, 1.921198665276237]}, {\"fc\": \"#7F0000\", \"o\": [2.341694500979048, 2.341694500979048]}, {\"fc\": \"#7F0000\", \"o\": [2.520852868546693, 2.520852868546693]}, {\"fc\": \"#7F0000\", \"o\": [2.398491119977099, 2.398491119977099]}, {\"fc\": \"#7F0000\", \"o\": [1.9321378959987987, 1.9321378959987987]}, {\"fc\": \"#7F0000\", \"o\": [2.047739637225992, 2.047739637225992]}, {\"fc\": \"#7F0000\", \"o\": [2.3085403144159344, 2.3085403144159344]}, {\"fc\": \"#7F0000\", \"o\": [1.881633157869167, 1.881633157869167]}];\n",
        "\n",
        "  this.offset_func = function(d){\n",
        "     var offset = d.o ? d.o : [[0, 0]];\n",
        "\n",
        "       offset = [this.ax.x(offset[0]), this.ax.y(offset[1])];\n",
        "\n",
        "     return \"translate(\" + offset  + \")\";\n",
        "  };\n",
        "\n",
        "  this.path_func = function(d){\n",
        "     var path = d.p ? d.p : [[\"M\", [0.0, 0.5]], [\"C\", [0.13260155, 0.5, 0.25978993539242673, 0.44731684579412084, 0.3535533905932738, 0.3535533905932738]], [\"C\", [0.44731684579412084, 0.25978993539242673, 0.5, 0.13260155, 0.5, 0.0]], [\"C\", [0.5, -0.13260155, 0.44731684579412084, -0.25978993539242673, 0.3535533905932738, -0.3535533905932738]], [\"C\", [0.25978993539242673, -0.44731684579412084, 0.13260155, -0.5, 0.0, -0.5]], [\"C\", [-0.13260155, -0.5, -0.25978993539242673, -0.44731684579412084, -0.3535533905932738, -0.3535533905932738]], [\"C\", [-0.44731684579412084, -0.25978993539242673, -0.5, -0.13260155, -0.5, 0.0]], [\"C\", [-0.5, 0.13260155, -0.44731684579412084, 0.25978993539242673, -0.3535533905932738, 0.3535533905932738]], [\"C\", [-0.25978993539242673, 0.44731684579412084, -0.13260155, 0.5, 0.0, 0.5]], [\"Z\", [0.0, 0.5]]];\n",
        "     var size = d.s ? d.s : 7.0272836892630659;\n",
        "\n",
        "       var xscale = function(x){return size * x;};\n",
        "       var yscale = function(y){return size * y;};\n",
        "\n",
        "     return construct_SVG_path(path, xscale, yscale);\n",
        "  };\n",
        "\n",
        "  this.style_func = function(d){\n",
        "     var edgecolor = d.ec ? d.ec : \"#000000\";\n",
        "     var facecolor = d.fc ? d.fc : \"none\";\n",
        "     var linewidth = d.lw ? d.lw : 1.0;\n",
        "     var dasharray = d.ls ? d.ls : \"10,0\";\n",
        "     return \"stroke: \" + edgecolor + \"; \" +\n",
        "            \"stroke-width: \" + linewidth + \"; \" +\n",
        "            \"stroke-dasharray: \" + dasharray + \"; \" +\n",
        "            \"fill: \" + facecolor + \"; \" +\n",
        "            \"stroke-opacity: 0.3; \" +\n",
        "            \"fill-opacity: 0.3\";\n",
        "  };\n",
        "\n",
        "  this.draw = function(){\n",
        "    this.g = this.ax.axes.append(\"svg:g\");\n",
        "\n",
        "    this.g.selectAll(\"paths-3\")\n",
        "      .data(this.data)\n",
        "      .enter().append(\"svg:path\")\n",
        "          .attr('class', 'paths3')\n",
        "          .attr(\"d\", this.path_func.bind(this))\n",
        "          .attr(\"style\", this.style_func.bind(this))\n",
        "          .attr(\"transform\", this.offset_func.bind(this));\n",
        "  };\n",
        "\n",
        "  this.zoomed = function(){\n",
        "    this.g.selectAll(\".paths3\")\n",
        "\n",
        "\n",
        "               .attr(\"transform\", this.offset_func.bind(this))\n",
        "             ;\n",
        "  };\n",
        "};\n",
        "ax4.add_element(coll598fd2cc88e3401e98e7ba65a995b2f5);\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "    var ax5 = new Axes(fig, [0.050000000000000003, 0.51046511627906976, 0.20930232558139533, 0.20930232558139539], [4.0, 8.5], [0.0, 8.0],\n",
        "                               \"linear\", \"linear\",\n",
        "                               [4.0, 8.5], [0.0, 8.0],\n",
        "                               false, false,\n",
        "                               \"axes5\",\n",
        "                               \"clipa470b298b67b466f8ed927d98d93d2575\", true);\n",
        "\n",
        "\n",
        "\n",
        "// Add an Axis element\n",
        "ax5.add_element(new Axis(ax5, \"bottom\",\n",
        "                                 10, null,\n",
        "                                 \"\"));\n",
        "\n",
        "\n",
        "\n",
        "// Add an Axis element\n",
        "ax5.add_element(new Axis(ax5, \"left\",\n",
        "                                 9, null,\n",
        "                                 \"\"));\n",
        "\n",
        "\n",
        "\n",
        "// Add a Collection\n",
        "var collfaffd123ea2c4a6abfe6341f873c3bc8 = new function(){\n",
        "  this.ax = ax5;\n",
        "  this.data = [{\"fc\": \"#00007F\", \"o\": [5.17090221659786, 1.4316161330242176]}, {\"fc\": \"#00007F\", \"o\": [4.908589299872229, 1.493878550986911]}, {\"fc\": \"#00007F\", \"o\": [4.7703745384285146, 1.396631644818969]}, {\"fc\": \"#00007F\", \"o\": [4.657142575307751, 1.5468011286797387]}, {\"fc\": \"#00007F\", \"o\": [5.047822741002662, 1.424951307384745]}, {\"fc\": \"#00007F\", \"o\": [5.451200876564271, 1.7672571420949261]}, {\"fc\": \"#00007F\", \"o\": [4.673932934965162, 1.4302957280511641]}, {\"fc\": \"#00007F\", \"o\": [5.070957619190929, 1.5816073106050164]}, {\"fc\": \"#00007F\", \"o\": [4.484546254314965, 1.4010996168015073]}, {\"fc\": \"#00007F\", \"o\": [4.96022460122536, 1.5786180858613859]}, {\"fc\": \"#00007F\", \"o\": [5.4484468479849415, 1.598839817226742]}, {\"fc\": \"#00007F\", \"o\": [4.812595104062529, 1.6191135712046822]}, {\"fc\": \"#00007F\", \"o\": [4.848229521227882, 1.4750660167728191]}, {\"fc\": \"#00007F\", \"o\": [4.332031266648413, 1.1469671428712054]}, {\"fc\": \"#00007F\", \"o\": [5.871754638893196, 1.2068579618827082]}, {\"fc\": \"#00007F\", \"o\": [5.706692083840074, 1.5163388206986248]}, {\"fc\": \"#00007F\", \"o\": [5.491807410632337, 1.3329965081071364]}, {\"fc\": \"#00007F\", \"o\": [5.166695773482065, 1.4477896372052157]}, {\"fc\": \"#00007F\", \"o\": [5.700874977846094, 1.7093066428155288]}, {\"fc\": \"#00007F\", \"o\": [5.146572259043651, 1.5116402517614769]}, {\"fc\": \"#00007F\", \"o\": [5.4404033011720845, 1.7181248749546212]}, {\"fc\": \"#00007F\", \"o\": [5.121205699077781, 1.535930727921415]}, {\"fc\": \"#00007F\", \"o\": [4.668784790266301, 1.0507628625793162]}, {\"fc\": \"#00007F\", \"o\": [5.170741082019018, 1.7476181991698319]}, {\"fc\": \"#00007F\", \"o\": [4.898929550397218, 1.9639657824082728]}, {\"fc\": \"#00007F\", \"o\": [5.05921788997354, 1.6387235667137088]}, {\"fc\": \"#00007F\", \"o\": [5.002027718903214, 1.6138795828169066]}, {\"fc\": \"#00007F\", \"o\": [5.215603746288424, 1.5755746092234117]}, {\"fc\": \"#00007F\", \"o\": [5.2413195590622905, 1.4874470793959849]}, {\"fc\": \"#00007F\", \"o\": [4.788571774943383, 1.6765360199789396]}, {\"fc\": \"#00007F\", \"o\": [4.80576635921765, 1.623723444602417]}, {\"fc\": \"#00007F\", \"o\": [5.411223486259187, 1.5270228156433918]}, {\"fc\": \"#00007F\", \"o\": [5.2956019499489875, 1.5222269054840911]}, {\"fc\": \"#00007F\", \"o\": [5.502111115176593, 1.4502612321045796]}, {\"fc\": \"#00007F\", \"o\": [4.939256966254319, 1.5547122456422375]}, {\"fc\": \"#00007F\", \"o\": [5.093265701334743, 1.2274079102017468]}, {\"fc\": \"#00007F\", \"o\": [5.512756056453292, 1.3570819324113412]}, {\"fc\": \"#00007F\", \"o\": [4.903764304839228, 1.5585968553294238]}, {\"fc\": \"#00007F\", \"o\": [4.429757131409055, 1.3282701525381209]}, {\"fc\": \"#00007F\", \"o\": [5.1735704227080666, 1.577805762777246]}, {\"fc\": \"#00007F\", \"o\": [5.043034905251484, 1.3044786125091261]}, {\"fc\": \"#00007F\", \"o\": [4.541008040857622, 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4.577985584696441]}, {\"fc\": \"#7CFF79\", \"o\": [6.337892681485628, 4.779534320953203]}, {\"fc\": \"#7CFF79\", \"o\": [4.9683006882664085, 3.3126116923847713]}, {\"fc\": \"#7CFF79\", \"o\": [6.658781528319267, 4.697711210226701]}, {\"fc\": \"#7CFF79\", \"o\": [5.2052056601469445, 3.9294801561075885]}, {\"fc\": \"#7CFF79\", \"o\": [5.015064199836418, 3.5840587045851127]}, {\"fc\": \"#7CFF79\", \"o\": [5.960814840448379, 4.287938113865082]}, {\"fc\": \"#7CFF79\", \"o\": [6.062183564174119, 4.05749399483788]}, {\"fc\": \"#7CFF79\", \"o\": [6.197040808986233, 4.781647734531785]}, {\"fc\": \"#7CFF79\", \"o\": [5.63135320216855, 3.633163350924255]}, {\"fc\": \"#7CFF79\", \"o\": [6.740755044871917, 4.412228768313423]}, {\"fc\": \"#7CFF79\", \"o\": [5.666165265760427, 4.54496531288017]}, {\"fc\": \"#7CFF79\", \"o\": [5.830335452875179, 4.132651751588993]}, {\"fc\": \"#7CFF79\", \"o\": [6.2364845167954375, 4.515116141416526]}, {\"fc\": \"#7CFF79\", \"o\": [5.644117200120547, 3.949288555796956]}, {\"fc\": \"#7CFF79\", \"o\": [5.9296851862731215, 4.883631847319787]}, {\"fc\": \"#7CFF79\", \"o\": [6.144471360541937, 4.010205471217149]}, {\"fc\": \"#7CFF79\", \"o\": [6.347211425075296, 4.993852163375521]}, {\"fc\": \"#7CFF79\", \"o\": [6.185116392648632, 4.756148076263992]}, {\"fc\": \"#7CFF79\", \"o\": [6.41564288380276, 4.365385742742979]}, {\"fc\": \"#7CFF79\", \"o\": [6.632226463414303, 4.418602365843915]}, {\"fc\": \"#7CFF79\", \"o\": [6.857840614107337, 4.807778004737693]}, {\"fc\": \"#7CFF79\", \"o\": [6.719172805365719, 5.034525267012793]}, {\"fc\": \"#7CFF79\", \"o\": [6.037676978007725, 4.513201143151165]}, {\"fc\": \"#7CFF79\", \"o\": [5.764698561804867, 3.5273476557676915]}, {\"fc\": \"#7CFF79\", \"o\": [5.565151516778909, 3.814038595245608]}, {\"fc\": \"#7CFF79\", \"o\": [5.515055650471584, 3.7845744954853653]}, {\"fc\": \"#7CFF79\", \"o\": [5.819278789431, 3.916901184500899]}, {\"fc\": \"#7CFF79\", \"o\": [6.061559106431039, 5.1648051446763334]}, {\"fc\": \"#7CFF79\", \"o\": [5.475286773027811, 4.5520495701206265]}, {\"fc\": \"#7CFF79\", \"o\": [6.045915457384043, 4.553342214548989]}, {\"fc\": \"#7CFF79\", \"o\": [6.72778326884466, 4.7088546047033875]}, {\"fc\": \"#7CFF79\", \"o\": [6.396585051628201, 4.492441008962179]}, {\"fc\": \"#7CFF79\", \"o\": [5.614982874237223, 4.181503772068848]}, {\"fc\": \"#7CFF79\", \"o\": [5.558830643252964, 4.082479582874754]}, {\"fc\": \"#7CFF79\", \"o\": [5.506771338560184, 4.45163250166473]}, {\"fc\": \"#7CFF79\", \"o\": [6.151040589481382, 4.689358307197675]}, {\"fc\": \"#7CFF79\", \"o\": [5.844597214761113, 4.092961974827514]}, {\"fc\": \"#7CFF79\", \"o\": [5.062062817080695, 3.380525920353661]}, {\"fc\": \"#7CFF79\", \"o\": [5.634088782910842, 4.229884628698837]}, {\"fc\": \"#7CFF79\", \"o\": [5.788051507175449, 4.263176687173466]}, {\"fc\": \"#7CFF79\", \"o\": [5.76504665578786, 4.245238441470811]}, {\"fc\": \"#7CFF79\", \"o\": [6.245564322614669, 4.373945940724372]}, {\"fc\": \"#7CFF79\", \"o\": [5.122516963867632, 3.0086405071395443]}, {\"fc\": \"#7CFF79\", \"o\": [5.702902851455477, 4.121915128499847]}, {\"fc\": \"#7F0000\", \"o\": [6.322020895103499, 6.083402153614916]}, {\"fc\": \"#7F0000\", \"o\": [5.8847656082102935, 5.1155309251041565]}, {\"fc\": \"#7F0000\", \"o\": [7.102102256290003, 5.911995483962641]}, {\"fc\": \"#7F0000\", \"o\": [6.321873020918329, 5.635539938931352]}, {\"fc\": \"#7F0000\", \"o\": [6.5464661091203995, 5.822285074439087]}, {\"fc\": \"#7F0000\", \"o\": [7.648599987894167, 6.697192428831586]}, {\"fc\": \"#7F0000\", \"o\": [4.994362775543955, 4.586952313348642]}, {\"fc\": \"#7F0000\", \"o\": [7.330189634552601, 6.3473448847207425]}, {\"fc\": \"#7F0000\", \"o\": [6.7698044241361455, 5.8712365427227]}, {\"fc\": \"#7F0000\", \"o\": [7.218306783199179, 6.183175997579987]}, {\"fc\": \"#7F0000\", \"o\": [6.584941225766065, 5.13866504714385]}, {\"fc\": \"#7F0000\", \"o\": [6.414207588775992, 5.341146903125889]}, {\"fc\": \"#7F0000\", \"o\": [6.829963709413679, 5.556394537310805]}, {\"fc\": \"#7F0000\", \"o\": [5.7745227751880925, 5.005464767575096]}, {\"fc\": \"#7F0000\", \"o\": [5.891915473138454, 5.105739523971555]}, {\"fc\": \"#7F0000\", \"o\": [6.416841121107455, 5.363144206170341]}, {\"fc\": \"#7F0000\", \"o\": [6.522891937429048, 5.506888083035963]}, {\"fc\": \"#7F0000\", \"o\": [7.720594447234034, 6.744720066270181]}, {\"fc\": \"#7F0000\", \"o\": [7.720066633693855, 6.919377206672821]}, {\"fc\": \"#7F0000\", \"o\": [6.082046061957738, 5.027754824266786]}, {\"fc\": \"#7F0000\", \"o\": [6.934379411006562, 5.703809981729022]}, {\"fc\": \"#7F0000\", \"o\": [5.617980562281337, 4.961963260796307]}, {\"fc\": \"#7F0000\", \"o\": [7.798981711347784, 6.754418071811609]}, {\"fc\": \"#7F0000\", \"o\": [6.304629815116675, 4.967138825114432]}, {\"fc\": \"#7F0000\", \"o\": [6.765439107566598, 5.746545023726616]}, {\"fc\": \"#7F0000\", \"o\": [7.249796824616699, 6.085981384437098]}, {\"fc\": \"#7F0000\", \"o\": [6.2964214892919435, 4.867566628880715]}, {\"fc\": \"#7F0000\", \"o\": [6.1859642953066, 4.959690969547166]}, {\"fc\": \"#7F0000\", \"o\": [6.486598455740721, 5.66564341896108]}, {\"fc\": \"#7F0000\", \"o\": [7.204221343973254, 5.882346936981724]}, {\"fc\": \"#7F0000\", \"o\": [7.41810737262156, 6.117911816358235]}, {\"fc\": \"#7F0000\", \"o\": [7.946542036310617, 6.419242343276655]}, {\"fc\": \"#7F0000\", \"o\": [6.482970103817224, 5.60750916516096]}, {\"fc\": \"#7F0000\", \"o\": [6.347141375296634, 5.155416025194641]}, {\"fc\": \"#7F0000\", \"o\": [6.140651222285372, 5.680713573206991]}, {\"fc\": \"#7F0000\", \"o\": [7.755723580240427, 6.150158971869622]}, {\"fc\": \"#7F0000\", \"o\": [6.390601543952723, 5.6716568335616495]}, {\"fc\": \"#7F0000\", \"o\": [6.461233606556314, 5.569328124116086]}, {\"fc\": \"#7F0000\", \"o\": [6.05769332455086, 4.871690493738232]}, {\"fc\": \"#7F0000\", \"o\": [6.931919784761067, 5.415694533239563]}, {\"fc\": \"#7F0000\", \"o\": [6.7818532385777495, 5.63226710529319]}, {\"fc\": \"#7F0000\", \"o\": [6.907488198152424, 5.188390209679276]}, {\"fc\": \"#7F0000\", \"o\": [5.814475345627497, 5.153481528498618]}, {\"fc\": \"#7F0000\", \"o\": [6.852262506592783, 5.996272609520356]}, {\"fc\": \"#7F0000\", \"o\": [6.780746683526441, 5.788332329486726]}, {\"fc\": \"#7F0000\", \"o\": [6.771339935314962, 5.228462948084129]}, {\"fc\": \"#7F0000\", \"o\": [6.3322609707290045, 5.017654276785061]}, {\"fc\": \"#7F0000\", \"o\": [6.509823587726695, 5.25621760345115]}, {\"fc\": \"#7F0000\", \"o\": [6.22814622870314, 5.45365695325202]}, {\"fc\": \"#7F0000\", \"o\": [5.911827914718795, 5.184593837912855]}];\n",
        "\n",
        "  this.offset_func = function(d){\n",
        "     var offset = d.o ? d.o : [[0, 0]];\n",
        "\n",
        "       offset = [this.ax.x(offset[0]), this.ax.y(offset[1])];\n",
        "\n",
        "     return \"translate(\" + offset  + \")\";\n",
        "  };\n",
        "\n",
        "  this.path_func = function(d){\n",
        "     var path = d.p ? d.p : [[\"M\", [0.0, 0.5]], [\"C\", [0.13260155, 0.5, 0.25978993539242673, 0.44731684579412084, 0.3535533905932738, 0.3535533905932738]], [\"C\", [0.44731684579412084, 0.25978993539242673, 0.5, 0.13260155, 0.5, 0.0]], [\"C\", [0.5, -0.13260155, 0.44731684579412084, -0.25978993539242673, 0.3535533905932738, -0.3535533905932738]], [\"C\", [0.25978993539242673, -0.44731684579412084, 0.13260155, -0.5, 0.0, -0.5]], [\"C\", [-0.13260155, -0.5, -0.25978993539242673, -0.44731684579412084, -0.3535533905932738, -0.3535533905932738]], [\"C\", [-0.44731684579412084, -0.25978993539242673, -0.5, -0.13260155, -0.5, 0.0]], [\"C\", [-0.5, 0.13260155, -0.44731684579412084, 0.25978993539242673, -0.3535533905932738, 0.3535533905932738]], [\"C\", [-0.25978993539242673, 0.44731684579412084, -0.13260155, 0.5, 0.0, 0.5]], [\"Z\", [0.0, 0.5]]];\n",
        "     var size = d.s ? d.s : 7.0272836892630659;\n",
        "\n",
        "       var xscale = function(x){return size * x;};\n",
        "       var yscale = function(y){return size * y;};\n",
        "\n",
        "     return construct_SVG_path(path, xscale, yscale);\n",
        "  };\n",
        "\n",
        "  this.style_func = function(d){\n",
        "     var edgecolor = d.ec ? d.ec : \"#000000\";\n",
        "     var facecolor = d.fc ? d.fc : \"none\";\n",
        "     var linewidth = d.lw ? d.lw : 1.0;\n",
        "     var dasharray = d.ls ? d.ls : \"10,0\";\n",
        "     return \"stroke: \" + edgecolor + \"; \" +\n",
        "            \"stroke-width: \" + linewidth + \"; \" +\n",
        "            \"stroke-dasharray: \" + dasharray + \"; \" +\n",
        "            \"fill: \" + facecolor + \"; \" +\n",
        "            \"stroke-opacity: 0.3; \" +\n",
        "            \"fill-opacity: 0.3\";\n",
        "  };\n",
        "\n",
        "  this.draw = function(){\n",
        "    this.g = this.ax.axes.append(\"svg:g\");\n",
        "\n",
        "    this.g.selectAll(\"paths-3\")\n",
        "      .data(this.data)\n",
        "      .enter().append(\"svg:path\")\n",
        "          .attr('class', 'paths3')\n",
        "          .attr(\"d\", this.path_func.bind(this))\n",
        "          .attr(\"style\", this.style_func.bind(this))\n",
        "          .attr(\"transform\", this.offset_func.bind(this));\n",
        "  };\n",
        "\n",
        "  this.zoomed = function(){\n",
        "    this.g.selectAll(\".paths3\")\n",
        "\n",
        "\n",
        "               .attr(\"transform\", this.offset_func.bind(this))\n",
        "             ;\n",
        "  };\n",
        "};\n",
        "ax5.add_element(collfaffd123ea2c4a6abfe6341f873c3bc8);\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "    var ax6 = new Axes(fig, [0.28023255813953485, 0.51046511627906976, 0.20930232558139533, 0.20930232558139539], [1.5, 5.0], [0.0, 8.0],\n",
        "                               \"linear\", \"linear\",\n",
        "                               [1.5, 5.0], [0.0, 8.0],\n",
        "                               false, false,\n",
        "                               \"axes6\",\n",
        "                               \"clipa470b298b67b466f8ed927d98d93d2576\", true);\n",
        "\n",
        "\n",
        "\n",
        "// Add an Axis element\n",
        "ax6.add_element(new Axis(ax6, \"bottom\",\n",
        "                                 8, null,\n",
        "                                 \"\"));\n",
        "\n",
        "\n",
        "\n",
        "// Add an Axis element\n",
        "ax6.add_element(new Axis(ax6, \"left\",\n",
        "                                 9, null,\n",
        "                                 \"\"));\n",
        "\n",
        "\n",
        "\n",
        "// Add a Collection\n",
        "var coll0ad27d4c1938467e89e639b8a897a261 = new function(){\n",
        "  this.ax = ax6;\n",
        "  this.data = [{\"fc\": \"#00007F\", \"o\": [3.5125331359585066, 1.4316161330242176]}, {\"fc\": \"#00007F\", \"o\": [3.067108353103612, 1.493878550986911]}, {\"fc\": \"#00007F\", \"o\": [3.211747866320402, 1.396631644818969]}, {\"fc\": \"#00007F\", \"o\": [3.1019646162589813, 1.5468011286797387]}, {\"fc\": \"#00007F\", \"o\": [3.6878254683939384, 1.424951307384745]}, {\"fc\": \"#00007F\", \"o\": [3.9819787360604217, 1.7672571420949261]}, {\"fc\": \"#00007F\", \"o\": [3.47309712381423, 1.4302957280511641]}, {\"fc\": \"#00007F\", \"o\": [3.4479778119293454, 1.5816073106050164]}, {\"fc\": \"#00007F\", \"o\": [2.9011974848676187, 1.4010996168015073]}, {\"fc\": \"#00007F\", \"o\": [3.1066776771316675, 1.5786180858613859]}, {\"fc\": \"#00007F\", \"o\": [3.74619934338649, 1.598839817226742]}, {\"fc\": \"#00007F\", \"o\": [3.476023059739062, 1.6191135712046822]}, {\"fc\": \"#00007F\", \"o\": [3.0860833357313426, 1.4750660167728191]}, {\"fc\": \"#00007F\", \"o\": [3.051710441925852, 1.1469671428712054]}, {\"fc\": \"#00007F\", \"o\": [4.047292912565483, 1.2068579618827082]}, {\"fc\": \"#00007F\", \"o\": [4.45422057804723, 1.5163388206986248]}, {\"fc\": \"#00007F\", \"o\": [3.9731280168954792, 1.3329965081071364]}, {\"fc\": \"#00007F\", \"o\": [3.587273807590237, 1.4477896372052157]}, {\"fc\": \"#00007F\", \"o\": [3.8175635265168553, 1.7093066428155288]}, {\"fc\": \"#00007F\", \"o\": [3.8851762245899537, 1.5116402517614769]}, {\"fc\": \"#00007F\", \"o\": [3.476667646665023, 1.7181248749546212]}, {\"fc\": \"#00007F\", \"o\": [3.7301919052816452, 1.535930727921415]}, {\"fc\": \"#00007F\", \"o\": [3.627781642305306, 1.0507628625793162]}, {\"fc\": \"#00007F\", \"o\": [3.3060078996279145, 1.7476181991698319]}, {\"fc\": \"#00007F\", \"o\": [3.455834883561251, 1.9639657824082728]}, {\"fc\": \"#00007F\", \"o\": [3.004500177152244, 1.6387235667137088]}, {\"fc\": \"#00007F\", \"o\": [3.469501956207217, 1.6138795828169066]}, {\"fc\": \"#00007F\", \"o\": [3.5187945082851346, 1.5755746092234117]}, {\"fc\": \"#00007F\", \"o\": [3.485955205027119, 1.4874470793959849]}, {\"fc\": \"#00007F\", \"o\": [3.2942647057173957, 1.6765360199789396]}, {\"fc\": \"#00007F\", \"o\": [3.1916843944911055, 1.623723444602417]}, {\"fc\": \"#00007F\", \"o\": [3.4182919756778856, 1.5270228156433918]}, {\"fc\": \"#00007F\", \"o\": [4.136001894426749, 1.5222269054840911]}, {\"fc\": \"#00007F\", \"o\": [4.223440124504494, 1.4502612321045796]}, {\"fc\": \"#00007F\", \"o\": [3.15335913485685, 1.5547122456422375]}, {\"fc\": \"#00007F\", \"o\": [3.24393830352463, 1.2274079102017468]}, {\"fc\": \"#00007F\", \"o\": [3.5567506065333157, 1.3570819324113412]}, {\"fc\": \"#00007F\", \"o\": [3.169410803184911, 1.5585968553294238]}, {\"fc\": \"#00007F\", \"o\": [3.0812022308076283, 1.3282701525381209]}, {\"fc\": \"#00007F\", \"o\": [3.479500820158864, 1.577805762777246]}, {\"fc\": \"#00007F\", \"o\": [3.5649909051458937, 1.3044786125091261]}, {\"fc\": \"#00007F\", \"o\": [2.3678670755394413, 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4.577985584696441]}, {\"fc\": \"#7CFF79\", \"o\": [3.388235926560353, 4.779534320953203]}, {\"fc\": \"#7CFF79\", \"o\": [2.4593680427599716, 3.3126116923847713]}, {\"fc\": \"#7CFF79\", \"o\": [2.948419916212288, 4.697711210226701]}, {\"fc\": \"#7CFF79\", \"o\": [2.7145272722773526, 3.9294801561075885]}, {\"fc\": \"#7CFF79\", \"o\": [2.045876071363899, 3.5840587045851127]}, {\"fc\": \"#7CFF79\", \"o\": [3.021228151792397, 4.287938113865082]}, {\"fc\": \"#7CFF79\", \"o\": [2.2932617095744434, 4.05749399483788]}, {\"fc\": \"#7CFF79\", \"o\": [2.951624708679805, 4.781647734531785]}, {\"fc\": \"#7CFF79\", \"o\": [2.9326892055661777, 3.633163350924255]}, {\"fc\": \"#7CFF79\", \"o\": [3.1669393252420055, 4.412228768313423]}, {\"fc\": \"#7CFF79\", \"o\": [3.095070681239259, 4.54496531288017]}, {\"fc\": \"#7CFF79\", \"o\": [2.7188129929746276, 4.132651751588993]}, {\"fc\": \"#7CFF79\", \"o\": [2.234611907041435, 4.515116141416526]}, {\"fc\": \"#7CFF79\", \"o\": [2.589392079911959, 3.949288555796956]}, {\"fc\": \"#7CFF79\", \"o\": [3.296011444419958, 4.883631847319787]}, {\"fc\": \"#7CFF79\", \"o\": [2.881934832575746, 4.010205471217149]}, {\"fc\": \"#7CFF79\", \"o\": [2.5531260796408994, 4.993852163375521]}, {\"fc\": \"#7CFF79\", \"o\": [2.8659244525665097, 4.756148076263992]}, {\"fc\": \"#7CFF79\", \"o\": [2.9201062196712555, 4.365385742742979]}, {\"fc\": \"#7CFF79\", \"o\": [3.0930827746446776, 4.418602365843915]}, {\"fc\": \"#7CFF79\", \"o\": [2.8654749268910975, 4.807778004737693]}, {\"fc\": \"#7CFF79\", \"o\": [3.0171192671390505, 5.034525267012793]}, {\"fc\": \"#7CFF79\", \"o\": [2.966406545232206, 4.513201143151165]}, {\"fc\": \"#7CFF79\", \"o\": [2.630885491750595, 3.5273476557676915]}, {\"fc\": \"#7CFF79\", \"o\": [2.40727791057058, 3.814038595245608]}, {\"fc\": \"#7CFF79\", \"o\": [2.477961609282258, 3.7845744954853653]}, {\"fc\": \"#7CFF79\", \"o\": [2.7671318312039546, 3.916901184500899]}, {\"fc\": \"#7CFF79\", \"o\": [2.710871701214667, 5.1648051446763334]}, {\"fc\": \"#7CFF79\", \"o\": [3.0540000899712028, 4.5520495701206265]}, {\"fc\": \"#7CFF79\", \"o\": [3.406578289741625, 4.553342214548989]}, {\"fc\": \"#7CFF79\", \"o\": [3.1016181749998766, 4.7088546047033875]}, {\"fc\": \"#7CFF79\", \"o\": [2.304869916622217, 4.492441008962179]}, {\"fc\": \"#7CFF79\", \"o\": [3.0442978424845077, 4.181503772068848]}, {\"fc\": \"#7CFF79\", \"o\": [2.507703153674096, 4.082479582874754]}, {\"fc\": \"#7CFF79\", \"o\": [2.604512770746365, 4.45163250166473]}, {\"fc\": \"#7CFF79\", \"o\": [3.0071324126596752, 4.689358307197675]}, {\"fc\": \"#7CFF79\", \"o\": [2.6306641399256794, 4.092961974827514]}, {\"fc\": \"#7CFF79\", \"o\": [2.3866642934011173, 3.380525920353661]}, {\"fc\": \"#7CFF79\", \"o\": [2.7734745592705994, 4.229884628698837]}, {\"fc\": \"#7CFF79\", \"o\": [3.008261080463239, 4.263176687173466]}, {\"fc\": \"#7CFF79\", \"o\": [2.9475767646074917, 4.245238441470811]}, {\"fc\": \"#7CFF79\", \"o\": [2.979647229441498, 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5.341146903125889]}, {\"fc\": \"#7F0000\", \"o\": [3.013538493080966, 5.556394537310805]}, {\"fc\": \"#7F0000\", \"o\": [2.560522707614697, 5.005464767575096]}, {\"fc\": \"#7F0000\", \"o\": [2.8388231599625424, 5.105739523971555]}, {\"fc\": \"#7F0000\", \"o\": [3.269805664274049, 5.363144206170341]}, {\"fc\": \"#7F0000\", \"o\": [3.063156523340311, 5.506888083035963]}, {\"fc\": \"#7F0000\", \"o\": [3.8429689487039997, 6.744720066270181]}, {\"fc\": \"#7F0000\", \"o\": [2.6041975838438245, 6.919377206672821]}, {\"fc\": \"#7F0000\", \"o\": [2.274030428937211, 5.027754824266786]}, {\"fc\": \"#7F0000\", \"o\": [3.2610099359039655, 5.703809981729022]}, {\"fc\": \"#7F0000\", \"o\": [2.815654660474176, 4.961963260796307]}, {\"fc\": \"#7F0000\", \"o\": [2.8549809889381303, 6.754418071811609]}, {\"fc\": \"#7F0000\", \"o\": [2.708357423210295, 4.967138825114432]}, {\"fc\": \"#7F0000\", \"o\": [3.3534979892231824, 5.746545023726616]}, {\"fc\": \"#7F0000\", \"o\": [3.2034744689429377, 6.085981384437098]}, {\"fc\": \"#7F0000\", \"o\": [2.879127139659853, 4.867566628880715]}, {\"fc\": \"#7F0000\", \"o\": [3.032892364677048, 4.959690969547166]}, {\"fc\": \"#7F0000\", \"o\": [2.8520851181109275, 5.66564341896108]}, {\"fc\": \"#7F0000\", \"o\": [3.099301558027177, 5.882346936981724]}, {\"fc\": \"#7F0000\", \"o\": [2.8953552008048327, 6.117911816358235]}, {\"fc\": \"#7F0000\", \"o\": [3.8659725128691838, 6.419242343276655]}, {\"fc\": \"#7F0000\", \"o\": [2.844866603112297, 5.60750916516096]}, {\"fc\": \"#7F0000\", \"o\": [2.8752081806621073, 5.155416025194641]}, {\"fc\": \"#7F0000\", \"o\": [2.6076937711831945, 5.680713573206991]}, {\"fc\": \"#7F0000\", \"o\": [3.061057638861625, 6.150158971869622]}, {\"fc\": \"#7F0000\", \"o\": [3.4502553958727975, 5.6716568335616495]}, {\"fc\": \"#7F0000\", \"o\": [3.1984216994963273, 5.569328124116086]}, {\"fc\": \"#7F0000\", \"o\": [3.0496807379783846, 4.871690493738232]}, {\"fc\": \"#7F0000\", \"o\": [3.1254182526793644, 5.415694533239563]}, {\"fc\": \"#7F0000\", \"o\": [3.18663308698516, 5.63226710529319]}, {\"fc\": \"#7F0000\", \"o\": [3.160677068130774, 5.188390209679276]}, {\"fc\": \"#7F0000\", \"o\": [2.724680701616441, 5.153481528498618]}, {\"fc\": \"#7F0000\", \"o\": [3.2735881232764696, 5.996272609520356]}, {\"fc\": \"#7F0000\", \"o\": [3.3709821617603772, 5.788332329486726]}, {\"fc\": \"#7F0000\", \"o\": [3.0783906512452583, 5.228462948084129]}, {\"fc\": \"#7F0000\", \"o\": [2.5689996325431563, 5.017654276785061]}, {\"fc\": \"#7F0000\", \"o\": [3.0719906896377975, 5.25621760345115]}, {\"fc\": \"#7F0000\", \"o\": [3.4643978423598427, 5.45365695325202]}, {\"fc\": \"#7F0000\", \"o\": [3.0355314052432614, 5.184593837912855]}];\n",
        "\n",
        "  this.offset_func = function(d){\n",
        "     var offset = d.o ? d.o : [[0, 0]];\n",
        "\n",
        "       offset = [this.ax.x(offset[0]), this.ax.y(offset[1])];\n",
        "\n",
        "     return \"translate(\" + offset  + \")\";\n",
        "  };\n",
        "\n",
        "  this.path_func = function(d){\n",
        "     var path = d.p ? d.p : [[\"M\", [0.0, 0.5]], [\"C\", [0.13260155, 0.5, 0.25978993539242673, 0.44731684579412084, 0.3535533905932738, 0.3535533905932738]], [\"C\", [0.44731684579412084, 0.25978993539242673, 0.5, 0.13260155, 0.5, 0.0]], [\"C\", [0.5, -0.13260155, 0.44731684579412084, -0.25978993539242673, 0.3535533905932738, -0.3535533905932738]], [\"C\", [0.25978993539242673, -0.44731684579412084, 0.13260155, -0.5, 0.0, -0.5]], [\"C\", [-0.13260155, -0.5, -0.25978993539242673, -0.44731684579412084, -0.3535533905932738, -0.3535533905932738]], [\"C\", [-0.44731684579412084, -0.25978993539242673, -0.5, -0.13260155, -0.5, 0.0]], [\"C\", [-0.5, 0.13260155, -0.44731684579412084, 0.25978993539242673, -0.3535533905932738, 0.3535533905932738]], [\"C\", [-0.25978993539242673, 0.44731684579412084, -0.13260155, 0.5, 0.0, 0.5]], [\"Z\", [0.0, 0.5]]];\n",
        "     var size = d.s ? d.s : 7.0272836892630659;\n",
        "\n",
        "       var xscale = function(x){return size * x;};\n",
        "       var yscale = function(y){return size * y;};\n",
        "\n",
        "     return construct_SVG_path(path, xscale, yscale);\n",
        "  };\n",
        "\n",
        "  this.style_func = function(d){\n",
        "     var edgecolor = d.ec ? d.ec : \"#000000\";\n",
        "     var facecolor = d.fc ? d.fc : \"none\";\n",
        "     var linewidth = d.lw ? d.lw : 1.0;\n",
        "     var dasharray = d.ls ? d.ls : \"10,0\";\n",
        "     return \"stroke: \" + edgecolor + \"; \" +\n",
        "            \"stroke-width: \" + linewidth + \"; \" +\n",
        "            \"stroke-dasharray: \" + dasharray + \"; \" +\n",
        "            \"fill: \" + facecolor + \"; \" +\n",
        "            \"stroke-opacity: 0.3; \" +\n",
        "            \"fill-opacity: 0.3\";\n",
        "  };\n",
        "\n",
        "  this.draw = function(){\n",
        "    this.g = this.ax.axes.append(\"svg:g\");\n",
        "\n",
        "    this.g.selectAll(\"paths-3\")\n",
        "      .data(this.data)\n",
        "      .enter().append(\"svg:path\")\n",
        "          .attr('class', 'paths3')\n",
        "          .attr(\"d\", this.path_func.bind(this))\n",
        "          .attr(\"style\", this.style_func.bind(this))\n",
        "          .attr(\"transform\", this.offset_func.bind(this));\n",
        "  };\n",
        "\n",
        "  this.zoomed = function(){\n",
        "    this.g.selectAll(\".paths3\")\n",
        "\n",
        "\n",
        "               .attr(\"transform\", this.offset_func.bind(this))\n",
        "             ;\n",
        "  };\n",
        "};\n",
        "ax6.add_element(coll0ad27d4c1938467e89e639b8a897a261);\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "    var ax7 = new Axes(fig, [0.51046511627906976, 0.51046511627906976, 0.20930232558139539, 0.20930232558139539], [0.0, 8.0], [0.0, 8.0],\n",
        "                               \"linear\", \"linear\",\n",
        "                               [0.0, 8.0], [0.0, 8.0],\n",
        "                               false, false,\n",
        "                               \"axes7\",\n",
        "                               \"clipa470b298b67b466f8ed927d98d93d2577\", true);\n",
        "\n",
        "\n",
        "\n",
        "// Add an Axis element\n",
        "ax7.add_element(new Axis(ax7, \"bottom\",\n",
        "                                 9, null,\n",
        "                                 \"\"));\n",
        "\n",
        "\n",
        "\n",
        "// Add an Axis element\n",
        "ax7.add_element(new Axis(ax7, \"left\",\n",
        "                                 9, null,\n",
        "                                 \"\"));\n",
        "\n",
        "\n",
        "\n",
        "// Add a Collection\n",
        "var collf949c84641634a2780c00c72d8e4839d = new function(){\n",
        "  this.ax = ax7;\n",
        "  this.data = [{\"fc\": \"#00007F\", \"o\": [1.4316161330242176, 1.4316161330242176]}, {\"fc\": \"#00007F\", \"o\": [1.493878550986911, 1.493878550986911]}, {\"fc\": \"#00007F\", \"o\": [1.396631644818969, 1.396631644818969]}, {\"fc\": \"#00007F\", \"o\": [1.5468011286797387, 1.5468011286797387]}, {\"fc\": \"#00007F\", \"o\": [1.424951307384745, 1.424951307384745]}, {\"fc\": \"#00007F\", \"o\": [1.7672571420949261, 1.7672571420949261]}, {\"fc\": \"#00007F\", \"o\": [1.4302957280511641, 1.4302957280511641]}, {\"fc\": \"#00007F\", \"o\": [1.5816073106050164, 1.5816073106050164]}, {\"fc\": \"#00007F\", \"o\": [1.4010996168015073, 1.4010996168015073]}, {\"fc\": \"#00007F\", \"o\": [1.5786180858613859, 1.5786180858613859]}, {\"fc\": \"#00007F\", \"o\": [1.598839817226742, 1.598839817226742]}, {\"fc\": \"#00007F\", \"o\": [1.6191135712046822, 1.6191135712046822]}, {\"fc\": \"#00007F\", \"o\": [1.4750660167728191, 1.4750660167728191]}, {\"fc\": \"#00007F\", \"o\": [1.1469671428712054, 1.1469671428712054]}, {\"fc\": \"#00007F\", \"o\": [1.2068579618827082, 1.2068579618827082]}, {\"fc\": \"#00007F\", \"o\": [1.5163388206986248, 1.5163388206986248]}, {\"fc\": \"#00007F\", \"o\": [1.3329965081071364, 1.3329965081071364]}, {\"fc\": \"#00007F\", \"o\": [1.4477896372052157, 1.4477896372052157]}, {\"fc\": \"#00007F\", \"o\": [1.7093066428155288, 1.7093066428155288]}, {\"fc\": \"#00007F\", \"o\": [1.5116402517614769, 1.5116402517614769]}, {\"fc\": \"#00007F\", \"o\": [1.7181248749546212, 1.7181248749546212]}, {\"fc\": \"#00007F\", \"o\": [1.535930727921415, 1.535930727921415]}, {\"fc\": \"#00007F\", \"o\": [1.0507628625793162, 1.0507628625793162]}, {\"fc\": \"#00007F\", \"o\": [1.7476181991698319, 1.7476181991698319]}, {\"fc\": \"#00007F\", \"o\": [1.9639657824082728, 1.9639657824082728]}, {\"fc\": \"#00007F\", \"o\": [1.6387235667137088, 1.6387235667137088]}, {\"fc\": \"#00007F\", \"o\": [1.6138795828169066, 1.6138795828169066]}, {\"fc\": \"#00007F\", 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5.341146903125889]}, {\"fc\": \"#7F0000\", \"o\": [5.556394537310805, 5.556394537310805]}, {\"fc\": \"#7F0000\", \"o\": [5.005464767575096, 5.005464767575096]}, {\"fc\": \"#7F0000\", \"o\": [5.105739523971555, 5.105739523971555]}, {\"fc\": \"#7F0000\", \"o\": [5.363144206170341, 5.363144206170341]}, {\"fc\": \"#7F0000\", \"o\": [5.506888083035963, 5.506888083035963]}, {\"fc\": \"#7F0000\", \"o\": [6.744720066270181, 6.744720066270181]}, {\"fc\": \"#7F0000\", \"o\": [6.919377206672821, 6.919377206672821]}, {\"fc\": \"#7F0000\", \"o\": [5.027754824266786, 5.027754824266786]}, {\"fc\": \"#7F0000\", \"o\": [5.703809981729022, 5.703809981729022]}, {\"fc\": \"#7F0000\", \"o\": [4.961963260796307, 4.961963260796307]}, {\"fc\": \"#7F0000\", \"o\": [6.754418071811609, 6.754418071811609]}, {\"fc\": \"#7F0000\", \"o\": [4.967138825114432, 4.967138825114432]}, {\"fc\": \"#7F0000\", \"o\": [5.746545023726616, 5.746545023726616]}, {\"fc\": \"#7F0000\", \"o\": [6.085981384437098, 6.085981384437098]}, {\"fc\": \"#7F0000\", \"o\": [4.867566628880715, 4.867566628880715]}, {\"fc\": \"#7F0000\", \"o\": [4.959690969547166, 4.959690969547166]}, {\"fc\": \"#7F0000\", \"o\": [5.66564341896108, 5.66564341896108]}, {\"fc\": \"#7F0000\", \"o\": [5.882346936981724, 5.882346936981724]}, {\"fc\": \"#7F0000\", \"o\": [6.117911816358235, 6.117911816358235]}, {\"fc\": \"#7F0000\", \"o\": [6.419242343276655, 6.419242343276655]}, {\"fc\": \"#7F0000\", \"o\": [5.60750916516096, 5.60750916516096]}, {\"fc\": \"#7F0000\", \"o\": [5.155416025194641, 5.155416025194641]}, {\"fc\": \"#7F0000\", \"o\": [5.680713573206991, 5.680713573206991]}, {\"fc\": \"#7F0000\", \"o\": [6.150158971869622, 6.150158971869622]}, {\"fc\": \"#7F0000\", \"o\": [5.6716568335616495, 5.6716568335616495]}, {\"fc\": \"#7F0000\", \"o\": [5.569328124116086, 5.569328124116086]}, {\"fc\": \"#7F0000\", \"o\": [4.871690493738232, 4.871690493738232]}, {\"fc\": \"#7F0000\", \"o\": [5.415694533239563, 5.415694533239563]}, {\"fc\": \"#7F0000\", \"o\": [5.63226710529319, 5.63226710529319]}, {\"fc\": \"#7F0000\", \"o\": [5.188390209679276, 5.188390209679276]}, {\"fc\": \"#7F0000\", \"o\": [5.153481528498618, 5.153481528498618]}, {\"fc\": \"#7F0000\", \"o\": [5.996272609520356, 5.996272609520356]}, {\"fc\": \"#7F0000\", \"o\": [5.788332329486726, 5.788332329486726]}, {\"fc\": \"#7F0000\", \"o\": [5.228462948084129, 5.228462948084129]}, {\"fc\": \"#7F0000\", \"o\": [5.017654276785061, 5.017654276785061]}, {\"fc\": \"#7F0000\", \"o\": [5.25621760345115, 5.25621760345115]}, {\"fc\": \"#7F0000\", \"o\": [5.45365695325202, 5.45365695325202]}, {\"fc\": \"#7F0000\", \"o\": [5.184593837912855, 5.184593837912855]}];\n",
        "\n",
        "  this.offset_func = function(d){\n",
        "     var offset = d.o ? d.o : [[0, 0]];\n",
        "\n",
        "       offset = [this.ax.x(offset[0]), this.ax.y(offset[1])];\n",
        "\n",
        "     return \"translate(\" + offset  + \")\";\n",
        "  };\n",
        "\n",
        "  this.path_func = function(d){\n",
        "     var path = d.p ? d.p : [[\"M\", [0.0, 0.5]], [\"C\", [0.13260155, 0.5, 0.25978993539242673, 0.44731684579412084, 0.3535533905932738, 0.3535533905932738]], [\"C\", [0.44731684579412084, 0.25978993539242673, 0.5, 0.13260155, 0.5, 0.0]], [\"C\", [0.5, -0.13260155, 0.44731684579412084, -0.25978993539242673, 0.3535533905932738, -0.3535533905932738]], [\"C\", [0.25978993539242673, -0.44731684579412084, 0.13260155, -0.5, 0.0, -0.5]], [\"C\", [-0.13260155, -0.5, -0.25978993539242673, -0.44731684579412084, -0.3535533905932738, -0.3535533905932738]], [\"C\", [-0.44731684579412084, -0.25978993539242673, -0.5, -0.13260155, -0.5, 0.0]], [\"C\", [-0.5, 0.13260155, -0.44731684579412084, 0.25978993539242673, -0.3535533905932738, 0.3535533905932738]], [\"C\", [-0.25978993539242673, 0.44731684579412084, -0.13260155, 0.5, 0.0, 0.5]], [\"Z\", [0.0, 0.5]]];\n",
        "     var size = d.s ? d.s : 7.0272836892630659;\n",
        "\n",
        "       var xscale = function(x){return size * x;};\n",
        "       var yscale = function(y){return size * y;};\n",
        "\n",
        "     return construct_SVG_path(path, xscale, yscale);\n",
        "  };\n",
        "\n",
        "  this.style_func = function(d){\n",
        "     var edgecolor = d.ec ? d.ec : \"#000000\";\n",
        "     var facecolor = d.fc ? d.fc : \"none\";\n",
        "     var linewidth = d.lw ? d.lw : 1.0;\n",
        "     var dasharray = d.ls ? d.ls : \"10,0\";\n",
        "     return \"stroke: \" + edgecolor + \"; \" +\n",
        "            \"stroke-width: \" + linewidth + \"; \" +\n",
        "            \"stroke-dasharray: \" + dasharray + \"; \" +\n",
        "            \"fill: \" + facecolor + \"; \" +\n",
        "            \"stroke-opacity: 0.3; \" +\n",
        "            \"fill-opacity: 0.3\";\n",
        "  };\n",
        "\n",
        "  this.draw = function(){\n",
        "    this.g = this.ax.axes.append(\"svg:g\");\n",
        "\n",
        "    this.g.selectAll(\"paths-3\")\n",
        "      .data(this.data)\n",
        "      .enter().append(\"svg:path\")\n",
        "          .attr('class', 'paths3')\n",
        "          .attr(\"d\", this.path_func.bind(this))\n",
        "          .attr(\"style\", this.style_func.bind(this))\n",
        "          .attr(\"transform\", this.offset_func.bind(this));\n",
        "  };\n",
        "\n",
        "  this.zoomed = function(){\n",
        "    this.g.selectAll(\".paths3\")\n",
        "\n",
        "\n",
        "               .attr(\"transform\", this.offset_func.bind(this))\n",
        "             ;\n",
        "  };\n",
        "};\n",
        "ax7.add_element(collf949c84641634a2780c00c72d8e4839d);\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "    var ax8 = new Axes(fig, [0.74069767441860468, 0.51046511627906976, 0.20930232558139528, 0.20930232558139539], [-0.5, 3.0], [0.0, 8.0],\n",
        "                               \"linear\", \"linear\",\n",
        "                               [-0.5, 3.0], [0.0, 8.0],\n",
        "                               false, false,\n",
        "                               \"axes8\",\n",
        "                               \"clipa470b298b67b466f8ed927d98d93d2578\", true);\n",
        "\n",
        "\n",
        "\n",
        "// Add an Axis element\n",
        "ax8.add_element(new Axis(ax8, \"bottom\",\n",
        "                                 8, null,\n",
        "                                 \"\"));\n",
        "\n",
        "\n",
        "\n",
        "// Add an Axis element\n",
        "ax8.add_element(new Axis(ax8, \"left\",\n",
        "                                 9, null,\n",
        "                                 \"\"));\n",
        "\n",
        "\n",
        "\n",
        "// Add a Collection\n",
        "var coll5aaca2fbbbdc4bf295e8a7316d5e30db = new function(){\n",
        "  this.ax = ax8;\n",
        "  this.data = [{\"fc\": \"#00007F\", \"o\": [0.26211408454795315, 1.4316161330242176]}, {\"fc\": \"#00007F\", \"o\": [0.24207739258282485, 1.493878550986911]}, {\"fc\": \"#00007F\", \"o\": [0.2518855607938784, 1.396631644818969]}, {\"fc\": \"#00007F\", \"o\": [0.21714209929972506, 1.5468011286797387]}, {\"fc\": \"#00007F\", \"o\": [0.29174088458386305, 1.424951307384745]}, {\"fc\": \"#00007F\", \"o\": [0.4709592319645498, 1.7672571420949261]}, {\"fc\": \"#00007F\", \"o\": [0.35491414139192506, 1.4302957280511641]}, {\"fc\": \"#00007F\", \"o\": [0.2284565978776942, 1.5816073106050164]}, {\"fc\": \"#00007F\", \"o\": [0.29589379233349267, 1.4010996168015073]}, {\"fc\": \"#00007F\", \"o\": [0.15169766687624028, 1.5786180858613859]}, {\"fc\": \"#00007F\", \"o\": [0.2237893111942842, 1.598839817226742]}, {\"fc\": \"#00007F\", \"o\": [0.24424269319648467, 1.6191135712046822]}, {\"fc\": \"#00007F\", \"o\": [0.10327757561343147, 1.4750660167728191]}, {\"fc\": \"#00007F\", \"o\": [0.11556226435907532, 1.1469671428712054]}, {\"fc\": \"#00007F\", \"o\": [0.2743657971827985, 1.2068579618827082]}, {\"fc\": \"#00007F\", \"o\": [0.48160719343562364, 1.5163388206986248]}, {\"fc\": \"#00007F\", \"o\": [0.4042087400415593, 1.3329965081071364]}, {\"fc\": \"#00007F\", \"o\": [0.3309352277383192, 1.4477896372052157]}, {\"fc\": \"#00007F\", \"o\": [0.380215760058558, 1.7093066428155288]}, {\"fc\": \"#00007F\", \"o\": [0.37083473385596416, 1.5116402517614769]}, {\"fc\": \"#00007F\", \"o\": [0.2754392893635559, 1.7181248749546212]}, {\"fc\": \"#00007F\", \"o\": [0.45625460778737825, 1.535930727921415]}, {\"fc\": \"#00007F\", \"o\": [0.25243453840860036, 1.0507628625793162]}, {\"fc\": \"#00007F\", \"o\": [0.5243909256516152, 1.7476181991698319]}, {\"fc\": \"#00007F\", \"o\": [0.2198405109065725, 1.9639657824082728]}, {\"fc\": \"#00007F\", \"o\": [0.24500801580814618, 1.6387235667137088]}, {\"fc\": \"#00007F\", \"o\": [0.4062750857139841, 1.6138795828169066]}, {\"fc\": 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[1.5550198465042657, 4.625568258356824]}, {\"fc\": \"#7CFF79\", \"o\": [1.3617467405344335, 4.577985584696441]}, {\"fc\": \"#7CFF79\", \"o\": [1.6861808694071134, 4.779534320953203]}, {\"fc\": \"#7CFF79\", \"o\": [1.0075069568356416, 3.3126116923847713]}, {\"fc\": \"#7CFF79\", \"o\": [1.3228607993415933, 4.697711210226701]}, {\"fc\": \"#7CFF79\", \"o\": [1.4218823548458228, 3.9294801561075885]}, {\"fc\": \"#7CFF79\", \"o\": [1.0994779848375573, 3.5840587045851127]}, {\"fc\": \"#7CFF79\", \"o\": [1.5444591163801504, 4.287938113865082]}, {\"fc\": \"#7CFF79\", \"o\": [1.050680954841573, 4.05749399483788]}, {\"fc\": \"#7CFF79\", \"o\": [1.4285013406869287, 4.781647734531785]}, {\"fc\": \"#7CFF79\", \"o\": [1.372572704723528, 3.633163350924255]}, {\"fc\": \"#7CFF79\", \"o\": [1.4002849502138954, 4.412228768313423]}, {\"fc\": \"#7CFF79\", \"o\": [1.5142131109975212, 4.54496531288017]}, {\"fc\": \"#7CFF79\", \"o\": [1.0433743860790454, 4.132651751588993]}, {\"fc\": \"#7CFF79\", \"o\": [1.524769979298187, 4.515116141416526]}, {\"fc\": \"#7CFF79\", \"o\": [1.101614158383419, 3.949288555796956]}, {\"fc\": \"#7CFF79\", \"o\": [1.8779534527983848, 4.883631847319787]}, {\"fc\": \"#7CFF79\", \"o\": [1.383139896680292, 4.010205471217149]}, {\"fc\": \"#7CFF79\", \"o\": [1.5242369146901027, 4.993852163375521]}, {\"fc\": \"#7CFF79\", \"o\": [1.2694917367372256, 4.756148076263992]}, {\"fc\": \"#7CFF79\", \"o\": [1.3876037373916799, 4.365385742742979]}, {\"fc\": \"#7CFF79\", \"o\": [1.4749420585706414, 4.418602365843915]}, {\"fc\": \"#7CFF79\", \"o\": [1.4454440776447168, 4.807778004737693]}, {\"fc\": \"#7CFF79\", \"o\": [1.7895950774942597, 5.034525267012793]}, {\"fc\": \"#7CFF79\", \"o\": [1.5230336395252295, 4.513201143151165]}, {\"fc\": \"#7CFF79\", \"o\": [1.0278108708108424, 3.5273476557676915]}, {\"fc\": \"#7CFF79\", \"o\": [1.1932264202888339, 3.814038595245608]}, {\"fc\": \"#7CFF79\", \"o\": [1.092265312408356, 3.7845744954853653]}, {\"fc\": \"#7CFF79\", \"o\": [1.26150452357094, 3.916901184500899]}, {\"fc\": \"#7CFF79\", \"o\": [1.674684581626726, 5.1648051446763334]}, {\"fc\": \"#7CFF79\", \"o\": [1.501475734622945, 4.5520495701206265]}, {\"fc\": \"#7CFF79\", \"o\": [1.6349812476650378, 4.553342214548989]}, {\"fc\": \"#7CFF79\", \"o\": [1.5205248490564054, 4.7088546047033875]}, {\"fc\": \"#7CFF79\", \"o\": [1.3957838638268676, 4.492441008962179]}, {\"fc\": \"#7CFF79\", \"o\": [1.3845336773739045, 4.181503772068848]}, {\"fc\": \"#7CFF79\", \"o\": [1.3891026727695728, 4.082479582874754]}, {\"fc\": \"#7CFF79\", \"o\": [1.2893576408150762, 4.45163250166473]}, {\"fc\": \"#7CFF79\", \"o\": [1.4267924987880205, 4.689358307197675]}, {\"fc\": \"#7CFF79\", \"o\": [1.2001825346073192, 4.092961974827514]}, {\"fc\": \"#7CFF79\", \"o\": [1.0697685864416486, 3.380525920353661]}, {\"fc\": \"#7CFF79\", \"o\": [1.37466223962439, 4.229884628698837]}, {\"fc\": \"#7CFF79\", \"o\": [1.2844132380691708, 4.263176687173466]}, {\"fc\": \"#7CFF79\", \"o\": [1.3848846433048856, 4.245238441470811]}, {\"fc\": \"#7CFF79\", \"o\": [1.319446733942039, 4.373945940724372]}, {\"fc\": \"#7CFF79\", \"o\": [1.1762918151709938, 3.0086405071395443]}, {\"fc\": \"#7CFF79\", \"o\": [1.3227048710155729, 4.121915128499847]}, {\"fc\": \"#7F0000\", \"o\": [2.579309234897325, 6.083402153614916]}, {\"fc\": \"#7F0000\", \"o\": [1.9169125643969271, 5.1155309251041565]}, {\"fc\": \"#7F0000\", \"o\": [2.185080250021786, 5.911995483962641]}, {\"fc\": \"#7F0000\", \"o\": [1.8425844386426775, 5.635539938931352]}, {\"fc\": \"#7F0000\", \"o\": [2.2302106744151162, 5.822285074439087]}, {\"fc\": \"#7F0000\", \"o\": [2.1749964009613385, 6.697192428831586]}, {\"fc\": \"#7F0000\", \"o\": [1.7197516805845103, 4.586952313348642]}, {\"fc\": \"#7F0000\", \"o\": [1.8225397826860146, 6.3473448847207425]}, {\"fc\": \"#7F0000\", \"o\": [1.8729620924154617, 5.8712365427227]}, {\"fc\": \"#7F0000\", \"o\": [2.5711784266343853, 6.183175997579987]}, {\"fc\": \"#7F0000\", \"o\": [2.0238899606224634, 5.13866504714385]}, {\"fc\": \"#7F0000\", \"o\": [1.9776599135076987, 5.341146903125889]}, {\"fc\": \"#7F0000\", \"o\": [2.129167629330241, 5.556394537310805]}, {\"fc\": \"#7F0000\", \"o\": [2.0181247849648463, 5.005464767575096]}, {\"fc\": \"#7F0000\", \"o\": [2.491259589073047, 5.105739523971555]}, {\"fc\": \"#7F0000\", \"o\": [2.3889982865333135, 5.363144206170341]}, {\"fc\": \"#7F0000\", \"o\": [1.840851259884047, 5.506888083035963]}, {\"fc\": \"#7F0000\", \"o\": [2.248213098280573, 6.744720066270181]}, {\"fc\": \"#7F0000\", \"o\": [2.386988774002282, 6.919377206672821]}, {\"fc\": \"#7F0000\", \"o\": [1.580718490244431, 5.027754824266786]}, {\"fc\": \"#7F0000\", \"o\": [2.353884074390203, 5.703809981729022]}, {\"fc\": \"#7F0000\", \"o\": [2.0041499544258374, 4.961963260796307]}, {\"fc\": \"#7F0000\", \"o\": [2.0435906081250317, 6.754418071811609]}, {\"fc\": \"#7F0000\", \"o\": [1.8711351070581086, 4.967138825114432]}, {\"fc\": \"#7F0000\", \"o\": [2.1506074140461733, 5.746545023726616]}, {\"fc\": \"#7F0000\", \"o\": [1.8272476978906937, 6.085981384437098]}, {\"fc\": \"#7F0000\", \"o\": [1.862718476839224, 4.867566628880715]}, {\"fc\": \"#7F0000\", \"o\": [1.8234547609695029, 4.959690969547166]}, {\"fc\": \"#7F0000\", \"o\": [2.1276534972852934, 5.66564341896108]}, {\"fc\": \"#7F0000\", \"o\": [1.6534517740398347, 5.882346936981724]}, {\"fc\": \"#7F0000\", \"o\": [1.927697773623496, 6.117911816358235]}, {\"fc\": \"#7F0000\", \"o\": [2.05649442561218, 6.419242343276655]}, {\"fc\": \"#7F0000\", \"o\": [2.2981573446503734, 5.60750916516096]}, {\"fc\": \"#7F0000\", \"o\": [1.5481162907302606, 5.155416025194641]}, {\"fc\": \"#7F0000\", \"o\": [1.4425886121754743, 5.680713573206991]}, {\"fc\": \"#7F0000\", \"o\": [2.361552239685412, 6.150158971869622]}, {\"fc\": \"#7F0000\", \"o\": [2.462275583544863, 5.6716568335616495]}, {\"fc\": \"#7F0000\", \"o\": [1.883801323556316, 5.569328124116086]}, {\"fc\": \"#7F0000\", \"o\": [1.8326522066134092, 4.871690493738232]}, {\"fc\": \"#7F0000\", \"o\": [2.1192554027182853, 5.415694533239563]}, {\"fc\": \"#7F0000\", \"o\": [2.442231483755515, 5.63226710529319]}, {\"fc\": \"#7F0000\", \"o\": [2.336337631543308, 5.188390209679276]}, {\"fc\": \"#7F0000\", \"o\": [1.921198665276237, 5.153481528498618]}, {\"fc\": \"#7F0000\", \"o\": [2.341694500979048, 5.996272609520356]}, {\"fc\": \"#7F0000\", \"o\": [2.520852868546693, 5.788332329486726]}, {\"fc\": \"#7F0000\", \"o\": [2.398491119977099, 5.228462948084129]}, {\"fc\": \"#7F0000\", \"o\": [1.9321378959987987, 5.017654276785061]}, {\"fc\": \"#7F0000\", \"o\": [2.047739637225992, 5.25621760345115]}, {\"fc\": \"#7F0000\", \"o\": [2.3085403144159344, 5.45365695325202]}, {\"fc\": \"#7F0000\", \"o\": [1.881633157869167, 5.184593837912855]}];\n",
        "\n",
        "  this.offset_func = function(d){\n",
        "     var offset = d.o ? d.o : [[0, 0]];\n",
        "\n",
        "       offset = [this.ax.x(offset[0]), this.ax.y(offset[1])];\n",
        "\n",
        "     return \"translate(\" + offset  + \")\";\n",
        "  };\n",
        "\n",
        "  this.path_func = function(d){\n",
        "     var path = d.p ? d.p : [[\"M\", [0.0, 0.5]], [\"C\", [0.13260155, 0.5, 0.25978993539242673, 0.44731684579412084, 0.3535533905932738, 0.3535533905932738]], [\"C\", [0.44731684579412084, 0.25978993539242673, 0.5, 0.13260155, 0.5, 0.0]], [\"C\", [0.5, -0.13260155, 0.44731684579412084, -0.25978993539242673, 0.3535533905932738, -0.3535533905932738]], [\"C\", [0.25978993539242673, -0.44731684579412084, 0.13260155, -0.5, 0.0, -0.5]], [\"C\", [-0.13260155, -0.5, -0.25978993539242673, -0.44731684579412084, -0.3535533905932738, -0.3535533905932738]], [\"C\", [-0.44731684579412084, -0.25978993539242673, -0.5, -0.13260155, -0.5, 0.0]], [\"C\", [-0.5, 0.13260155, -0.44731684579412084, 0.25978993539242673, -0.3535533905932738, 0.3535533905932738]], [\"C\", [-0.25978993539242673, 0.44731684579412084, -0.13260155, 0.5, 0.0, 0.5]], [\"Z\", [0.0, 0.5]]];\n",
        "     var size = d.s ? d.s : 7.0272836892630659;\n",
        "\n",
        "       var xscale = function(x){return size * x;};\n",
        "       var yscale = function(y){return size * y;};\n",
        "\n",
        "     return construct_SVG_path(path, xscale, yscale);\n",
        "  };\n",
        "\n",
        "  this.style_func = function(d){\n",
        "     var edgecolor = d.ec ? d.ec : \"#000000\";\n",
        "     var facecolor = d.fc ? d.fc : \"none\";\n",
        "     var linewidth = d.lw ? d.lw : 1.0;\n",
        "     var dasharray = d.ls ? d.ls : \"10,0\";\n",
        "     return \"stroke: \" + edgecolor + \"; \" +\n",
        "            \"stroke-width: \" + linewidth + \"; \" +\n",
        "            \"stroke-dasharray: \" + dasharray + \"; \" +\n",
        "            \"fill: \" + facecolor + \"; \" +\n",
        "            \"stroke-opacity: 0.3; \" +\n",
        "            \"fill-opacity: 0.3\";\n",
        "  };\n",
        "\n",
        "  this.draw = function(){\n",
        "    this.g = this.ax.axes.append(\"svg:g\");\n",
        "\n",
        "    this.g.selectAll(\"paths-3\")\n",
        "      .data(this.data)\n",
        "      .enter().append(\"svg:path\")\n",
        "          .attr('class', 'paths3')\n",
        "          .attr(\"d\", this.path_func.bind(this))\n",
        "          .attr(\"style\", this.style_func.bind(this))\n",
        "          .attr(\"transform\", this.offset_func.bind(this));\n",
        "  };\n",
        "\n",
        "  this.zoomed = function(){\n",
        "    this.g.selectAll(\".paths3\")\n",
        "\n",
        "\n",
        "               .attr(\"transform\", this.offset_func.bind(this))\n",
        "             ;\n",
        "  };\n",
        "};\n",
        "ax8.add_element(coll5aaca2fbbbdc4bf295e8a7316d5e30db);\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "    var ax9 = new Axes(fig, [0.050000000000000003, 0.28023255813953485, 0.20930232558139533, 0.20930232558139539], [4.0, 8.5], [1.5, 5.0],\n",
        "                               \"linear\", \"linear\",\n",
        "                               [4.0, 8.5], [1.5, 5.0],\n",
        "                               false, false,\n",
        "                               \"axes9\",\n",
        "                               \"clipa470b298b67b466f8ed927d98d93d2579\", true);\n",
        "\n",
        "\n",
        "\n",
        "// Add an Axis element\n",
        "ax9.add_element(new Axis(ax9, \"bottom\",\n",
        "                                 10, null,\n",
        "                                 \"\"));\n",
        "\n",
        "\n",
        "\n",
        "// Add an Axis element\n",
        "ax9.add_element(new Axis(ax9, \"left\",\n",
        "                                 8, null,\n",
        "                                 \"\"));\n",
        "\n",
        "\n",
        "\n",
        "// Add a Collection\n",
        "var coll2a67e0516f8642f8882525377492398b = new function(){\n",
        "  this.ax = ax9;\n",
        "  this.data = [{\"fc\": \"#00007F\", \"o\": [5.17090221659786, 3.5125331359585066]}, {\"fc\": \"#00007F\", \"o\": [4.908589299872229, 3.067108353103612]}, {\"fc\": \"#00007F\", \"o\": [4.7703745384285146, 3.211747866320402]}, {\"fc\": \"#00007F\", \"o\": [4.657142575307751, 3.1019646162589813]}, {\"fc\": \"#00007F\", \"o\": [5.047822741002662, 3.6878254683939384]}, {\"fc\": \"#00007F\", \"o\": [5.451200876564271, 3.9819787360604217]}, {\"fc\": \"#00007F\", \"o\": [4.673932934965162, 3.47309712381423]}, {\"fc\": \"#00007F\", \"o\": [5.070957619190929, 3.4479778119293454]}, {\"fc\": \"#00007F\", \"o\": [4.484546254314965, 2.9011974848676187]}, {\"fc\": \"#00007F\", \"o\": [4.96022460122536, 3.1066776771316675]}, {\"fc\": \"#00007F\", \"o\": [5.4484468479849415, 3.74619934338649]}, {\"fc\": \"#00007F\", \"o\": [4.812595104062529, 3.476023059739062]}, {\"fc\": \"#00007F\", \"o\": [4.848229521227882, 3.0860833357313426]}, {\"fc\": \"#00007F\", \"o\": [4.332031266648413, 3.051710441925852]}, {\"fc\": \"#00007F\", \"o\": [5.871754638893196, 4.047292912565483]}, {\"fc\": \"#00007F\", \"o\": [5.706692083840074, 4.45422057804723]}, {\"fc\": \"#00007F\", \"o\": [5.491807410632337, 3.9731280168954792]}, {\"fc\": \"#00007F\", \"o\": [5.166695773482065, 3.587273807590237]}, {\"fc\": \"#00007F\", \"o\": [5.700874977846094, 3.8175635265168553]}, {\"fc\": \"#00007F\", \"o\": [5.146572259043651, 3.8851762245899537]}, {\"fc\": \"#00007F\", \"o\": [5.4404033011720845, 3.476667646665023]}, {\"fc\": \"#00007F\", \"o\": [5.121205699077781, 3.7301919052816452]}, {\"fc\": \"#00007F\", \"o\": [4.668784790266301, 3.627781642305306]}, {\"fc\": \"#00007F\", \"o\": [5.170741082019018, 3.3060078996279145]}, {\"fc\": \"#00007F\", \"o\": [4.898929550397218, 3.455834883561251]}, {\"fc\": \"#00007F\", \"o\": [5.05921788997354, 3.004500177152244]}, {\"fc\": \"#00007F\", \"o\": [5.002027718903214, 3.469501956207217]}, {\"fc\": \"#00007F\", \"o\": [5.215603746288424, 3.5187945082851346]}, {\"fc\": \"#00007F\", \"o\": [5.2413195590622905, 3.485955205027119]}, {\"fc\": \"#00007F\", \"o\": [4.788571774943383, 3.2942647057173957]}, {\"fc\": \"#00007F\", \"o\": [4.80576635921765, 3.1916843944911055]}, {\"fc\": \"#00007F\", \"o\": [5.411223486259187, 3.4182919756778856]}, {\"fc\": \"#00007F\", \"o\": [5.2956019499489875, 4.136001894426749]}, {\"fc\": \"#00007F\", \"o\": [5.502111115176593, 4.223440124504494]}, {\"fc\": \"#00007F\", \"o\": [4.939256966254319, 3.15335913485685]}, {\"fc\": \"#00007F\", \"o\": [5.093265701334743, 3.24393830352463]}, {\"fc\": \"#00007F\", \"o\": [5.512756056453292, 3.5567506065333157]}, {\"fc\": \"#00007F\", \"o\": [4.903764304839228, 3.169410803184911]}, {\"fc\": \"#00007F\", \"o\": [4.429757131409055, 3.0812022308076283]}, {\"fc\": \"#00007F\", \"o\": [5.1735704227080666, 3.479500820158864]}, {\"fc\": \"#00007F\", \"o\": [5.043034905251484, 3.5649909051458937]}, {\"fc\": \"#00007F\", \"o\": [4.541008040857622, 2.3678670755394413]}, {\"fc\": \"#00007F\", \"o\": [4.483829343244999, 3.2945969691921415]}, {\"fc\": \"#00007F\", \"o\": [5.0645661384546505, 3.5871002638862803]}, {\"fc\": \"#00007F\", \"o\": [5.130837417657947, 3.8325233674081516]}, {\"fc\": \"#00007F\", \"o\": [4.844275432241067, 3.0232461497089504]}, {\"fc\": \"#00007F\", \"o\": [5.176510872919131, 3.8781835776659648]}, {\"fc\": \"#00007F\", \"o\": [4.66364411495694, 3.2815144079104597]}, {\"fc\": \"#00007F\", \"o\": [5.382849134509174, 3.768377800437146]}, {\"fc\": \"#00007F\", \"o\": [5.023526869312312, 3.3100210699886126]}, {\"fc\": \"#7CFF79\", \"o\": [7.099886223518626, 3.2072182916114262]}, {\"fc\": \"#7CFF79\", \"o\": [6.454717939563357, 3.2618410174479626]}, {\"fc\": \"#7CFF79\", \"o\": [6.958761834978345, 3.179886817347721]}, {\"fc\": \"#7CFF79\", \"o\": [5.556815718623305, 2.3725929782860065]}, {\"fc\": \"#7CFF79\", \"o\": [6.577024486163991, 2.881079739236597]}, {\"fc\": \"#7CFF79\", \"o\": [5.708260873161247, 2.8831452597529763]}, {\"fc\": \"#7CFF79\", \"o\": [6.337892681485628, 3.388235926560353]}, {\"fc\": \"#7CFF79\", \"o\": [4.9683006882664085, 2.4593680427599716]}, {\"fc\": \"#7CFF79\", \"o\": [6.658781528319267, 2.948419916212288]}, {\"fc\": \"#7CFF79\", \"o\": [5.2052056601469445, 2.7145272722773526]}, {\"fc\": \"#7CFF79\", \"o\": [5.015064199836418, 2.045876071363899]}, {\"fc\": \"#7CFF79\", \"o\": [5.960814840448379, 3.021228151792397]}, {\"fc\": \"#7CFF79\", \"o\": [6.062183564174119, 2.2932617095744434]}, {\"fc\": \"#7CFF79\", \"o\": [6.197040808986233, 2.951624708679805]}, {\"fc\": \"#7CFF79\", \"o\": [5.63135320216855, 2.9326892055661777]}, {\"fc\": \"#7CFF79\", \"o\": [6.740755044871917, 3.1669393252420055]}, {\"fc\": \"#7CFF79\", \"o\": [5.666165265760427, 3.095070681239259]}, {\"fc\": \"#7CFF79\", \"o\": [5.830335452875179, 2.7188129929746276]}, {\"fc\": \"#7CFF79\", \"o\": [6.2364845167954375, 2.234611907041435]}, {\"fc\": \"#7CFF79\", \"o\": [5.644117200120547, 2.589392079911959]}, {\"fc\": \"#7CFF79\", \"o\": [5.9296851862731215, 3.296011444419958]}, {\"fc\": \"#7CFF79\", \"o\": [6.144471360541937, 2.881934832575746]}, {\"fc\": \"#7CFF79\", \"o\": [6.347211425075296, 2.5531260796408994]}, {\"fc\": \"#7CFF79\", \"o\": [6.185116392648632, 2.8659244525665097]}, {\"fc\": \"#7CFF79\", \"o\": [6.41564288380276, 2.9201062196712555]}, {\"fc\": \"#7CFF79\", \"o\": [6.632226463414303, 3.0930827746446776]}, {\"fc\": \"#7CFF79\", \"o\": [6.857840614107337, 2.8654749268910975]}, {\"fc\": \"#7CFF79\", \"o\": [6.719172805365719, 3.0171192671390505]}, {\"fc\": \"#7CFF79\", \"o\": [6.037676978007725, 2.966406545232206]}, {\"fc\": \"#7CFF79\", \"o\": [5.764698561804867, 2.630885491750595]}, {\"fc\": \"#7CFF79\", \"o\": [5.565151516778909, 2.40727791057058]}, {\"fc\": \"#7CFF79\", \"o\": [5.515055650471584, 2.477961609282258]}, {\"fc\": \"#7CFF79\", \"o\": [5.819278789431, 2.7671318312039546]}, {\"fc\": \"#7CFF79\", \"o\": [6.061559106431039, 2.710871701214667]}, {\"fc\": \"#7CFF79\", \"o\": [5.475286773027811, 3.0540000899712028]}, {\"fc\": \"#7CFF79\", \"o\": [6.045915457384043, 3.406578289741625]}, {\"fc\": \"#7CFF79\", \"o\": [6.72778326884466, 3.1016181749998766]}, {\"fc\": \"#7CFF79\", \"o\": [6.396585051628201, 2.304869916622217]}, {\"fc\": \"#7CFF79\", \"o\": [5.614982874237223, 3.0442978424845077]}, {\"fc\": \"#7CFF79\", \"o\": [5.558830643252964, 2.507703153674096]}, {\"fc\": \"#7CFF79\", \"o\": [5.506771338560184, 2.604512770746365]}, {\"fc\": \"#7CFF79\", \"o\": [6.151040589481382, 3.0071324126596752]}, {\"fc\": \"#7CFF79\", \"o\": [5.844597214761113, 2.6306641399256794]}, {\"fc\": \"#7CFF79\", \"o\": [5.062062817080695, 2.3866642934011173]}, {\"fc\": \"#7CFF79\", \"o\": [5.634088782910842, 2.7734745592705994]}, {\"fc\": \"#7CFF79\", \"o\": [5.788051507175449, 3.008261080463239]}, {\"fc\": \"#7CFF79\", \"o\": [5.76504665578786, 2.9475767646074917]}, {\"fc\": \"#7CFF79\", \"o\": [6.245564322614669, 2.979647229441498]}, {\"fc\": \"#7CFF79\", \"o\": [5.122516963867632, 2.5314091321088026]}, {\"fc\": \"#7CFF79\", \"o\": [5.702902851455477, 2.8499225360596308]}, {\"fc\": \"#7F0000\", \"o\": [6.322020895103499, 3.383410911138409]}, {\"fc\": \"#7F0000\", \"o\": [5.8847656082102935, 2.743099894740833]}, {\"fc\": \"#7F0000\", \"o\": [7.102102256290003, 3.0875920915465196]}, {\"fc\": \"#7F0000\", \"o\": [6.321873020918329, 2.996247928825719]}, {\"fc\": \"#7F0000\", \"o\": [6.5464661091203995, 3.0505677163043647]}, {\"fc\": \"#7F0000\", \"o\": [7.648599987894167, 3.041307589831774]}, {\"fc\": \"#7F0000\", \"o\": [4.994362775543955, 2.5086009989106217]}, {\"fc\": \"#7F0000\", \"o\": [7.330189634552601, 2.9880811764808652]}, {\"fc\": \"#7F0000\", \"o\": [6.7698044241361455, 2.5694795919930784]}, {\"fc\": \"#7F0000\", \"o\": [7.218306783199179, 3.6480343601699396]}, {\"fc\": \"#7F0000\", \"o\": [6.584941225766065, 3.2197108641128067]}, {\"fc\": \"#7F0000\", \"o\": [6.414207588775992, 2.799903100024044]}, {\"fc\": \"#7F0000\", \"o\": [6.829963709413679, 3.013538493080966]}, {\"fc\": \"#7F0000\", \"o\": [5.7745227751880925, 2.560522707614697]}, {\"fc\": \"#7F0000\", \"o\": [5.891915473138454, 2.8388231599625424]}, {\"fc\": \"#7F0000\", \"o\": [6.416841121107455, 3.269805664274049]}, {\"fc\": \"#7F0000\", \"o\": [6.522891937429048, 3.063156523340311]}, {\"fc\": \"#7F0000\", \"o\": [7.720594447234034, 3.8429689487039997]}, {\"fc\": \"#7F0000\", \"o\": [7.720066633693855, 2.6041975838438245]}, {\"fc\": \"#7F0000\", \"o\": [6.082046061957738, 2.274030428937211]}, {\"fc\": \"#7F0000\", \"o\": [6.934379411006562, 3.2610099359039655]}, {\"fc\": \"#7F0000\", \"o\": [5.617980562281337, 2.815654660474176]}, {\"fc\": \"#7F0000\", \"o\": [7.798981711347784, 2.8549809889381303]}, {\"fc\": \"#7F0000\", \"o\": [6.304629815116675, 2.708357423210295]}, {\"fc\": \"#7F0000\", \"o\": [6.765439107566598, 3.3534979892231824]}, {\"fc\": \"#7F0000\", \"o\": [7.249796824616699, 3.2034744689429377]}, {\"fc\": \"#7F0000\", \"o\": [6.2964214892919435, 2.879127139659853]}, {\"fc\": \"#7F0000\", \"o\": [6.1859642953066, 3.032892364677048]}, {\"fc\": \"#7F0000\", \"o\": [6.486598455740721, 2.8520851181109275]}, {\"fc\": \"#7F0000\", \"o\": [7.204221343973254, 3.099301558027177]}, {\"fc\": \"#7F0000\", \"o\": [7.41810737262156, 2.8953552008048327]}, {\"fc\": \"#7F0000\", \"o\": [7.946542036310617, 3.8659725128691838]}, {\"fc\": \"#7F0000\", \"o\": [6.482970103817224, 2.844866603112297]}, {\"fc\": \"#7F0000\", \"o\": [6.347141375296634, 2.8752081806621073]}, {\"fc\": \"#7F0000\", \"o\": [6.140651222285372, 2.6076937711831945]}, {\"fc\": \"#7F0000\", \"o\": [7.755723580240427, 3.061057638861625]}, {\"fc\": \"#7F0000\", \"o\": [6.390601543952723, 3.4502553958727975]}, {\"fc\": \"#7F0000\", \"o\": [6.461233606556314, 3.1984216994963273]}, {\"fc\": \"#7F0000\", \"o\": [6.05769332455086, 3.0496807379783846]}, {\"fc\": \"#7F0000\", \"o\": [6.931919784761067, 3.1254182526793644]}, {\"fc\": \"#7F0000\", \"o\": [6.7818532385777495, 3.18663308698516]}, {\"fc\": \"#7F0000\", \"o\": [6.907488198152424, 3.160677068130774]}, {\"fc\": \"#7F0000\", \"o\": [5.814475345627497, 2.724680701616441]}, {\"fc\": \"#7F0000\", \"o\": [6.852262506592783, 3.2735881232764696]}, {\"fc\": \"#7F0000\", \"o\": [6.780746683526441, 3.3709821617603772]}, {\"fc\": \"#7F0000\", \"o\": [6.771339935314962, 3.0783906512452583]}, {\"fc\": \"#7F0000\", \"o\": [6.3322609707290045, 2.5689996325431563]}, {\"fc\": \"#7F0000\", \"o\": [6.509823587726695, 3.0719906896377975]}, {\"fc\": \"#7F0000\", \"o\": [6.22814622870314, 3.4643978423598427]}, {\"fc\": \"#7F0000\", \"o\": [5.911827914718795, 3.0355314052432614]}];\n",
        "\n",
        "  this.offset_func = function(d){\n",
        "     var offset = d.o ? d.o : [[0, 0]];\n",
        "\n",
        "       offset = [this.ax.x(offset[0]), this.ax.y(offset[1])];\n",
        "\n",
        "     return \"translate(\" + offset  + \")\";\n",
        "  };\n",
        "\n",
        "  this.path_func = function(d){\n",
        "     var path = d.p ? d.p : [[\"M\", [0.0, 0.5]], [\"C\", [0.13260155, 0.5, 0.25978993539242673, 0.44731684579412084, 0.3535533905932738, 0.3535533905932738]], [\"C\", [0.44731684579412084, 0.25978993539242673, 0.5, 0.13260155, 0.5, 0.0]], [\"C\", [0.5, -0.13260155, 0.44731684579412084, -0.25978993539242673, 0.3535533905932738, -0.3535533905932738]], [\"C\", [0.25978993539242673, -0.44731684579412084, 0.13260155, -0.5, 0.0, -0.5]], [\"C\", [-0.13260155, -0.5, -0.25978993539242673, -0.44731684579412084, -0.3535533905932738, -0.3535533905932738]], [\"C\", [-0.44731684579412084, -0.25978993539242673, -0.5, -0.13260155, -0.5, 0.0]], [\"C\", [-0.5, 0.13260155, -0.44731684579412084, 0.25978993539242673, -0.3535533905932738, 0.3535533905932738]], [\"C\", [-0.25978993539242673, 0.44731684579412084, -0.13260155, 0.5, 0.0, 0.5]], [\"Z\", [0.0, 0.5]]];\n",
        "     var size = d.s ? d.s : 7.0272836892630659;\n",
        "\n",
        "       var xscale = function(x){return size * x;};\n",
        "       var yscale = function(y){return size * y;};\n",
        "\n",
        "     return construct_SVG_path(path, xscale, yscale);\n",
        "  };\n",
        "\n",
        "  this.style_func = function(d){\n",
        "     var edgecolor = d.ec ? d.ec : \"#000000\";\n",
        "     var facecolor = d.fc ? d.fc : \"none\";\n",
        "     var linewidth = d.lw ? d.lw : 1.0;\n",
        "     var dasharray = d.ls ? d.ls : \"10,0\";\n",
        "     return \"stroke: \" + edgecolor + \"; \" +\n",
        "            \"stroke-width: \" + linewidth + \"; \" +\n",
        "            \"stroke-dasharray: \" + dasharray + \"; \" +\n",
        "            \"fill: \" + facecolor + \"; \" +\n",
        "            \"stroke-opacity: 0.3; \" +\n",
        "            \"fill-opacity: 0.3\";\n",
        "  };\n",
        "\n",
        "  this.draw = function(){\n",
        "    this.g = this.ax.axes.append(\"svg:g\");\n",
        "\n",
        "    this.g.selectAll(\"paths-3\")\n",
        "      .data(this.data)\n",
        "      .enter().append(\"svg:path\")\n",
        "          .attr('class', 'paths3')\n",
        "          .attr(\"d\", this.path_func.bind(this))\n",
        "          .attr(\"style\", this.style_func.bind(this))\n",
        "          .attr(\"transform\", this.offset_func.bind(this));\n",
        "  };\n",
        "\n",
        "  this.zoomed = function(){\n",
        "    this.g.selectAll(\".paths3\")\n",
        "\n",
        "\n",
        "               .attr(\"transform\", this.offset_func.bind(this))\n",
        "             ;\n",
        "  };\n",
        "};\n",
        "ax9.add_element(coll2a67e0516f8642f8882525377492398b);\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "    var ax10 = new Axes(fig, [0.28023255813953485, 0.28023255813953485, 0.20930232558139533, 0.20930232558139539], [1.5, 5.0], [1.5, 5.0],\n",
        "                               \"linear\", \"linear\",\n",
        "                               [1.5, 5.0], [1.5, 5.0],\n",
        "                               false, false,\n",
        "                               \"axes10\",\n",
        "                               \"clipa470b298b67b466f8ed927d98d93d25710\", true);\n",
        "\n",
        "\n",
        "\n",
        "// Add an Axis element\n",
        "ax10.add_element(new Axis(ax10, \"bottom\",\n",
        "                                 8, null,\n",
        "                                 \"\"));\n",
        "\n",
        "\n",
        "\n",
        "// Add an Axis element\n",
        "ax10.add_element(new Axis(ax10, \"left\",\n",
        "                                 8, null,\n",
        "                                 \"\"));\n",
        "\n",
        "\n",
        "\n",
        "// Add a Collection\n",
        "var coll2a2f080493ad4daebac25b08f3e72016 = new function(){\n",
        "  this.ax = ax10;\n",
        "  this.data = [{\"fc\": \"#00007F\", \"o\": [3.5125331359585066, 3.5125331359585066]}, {\"fc\": \"#00007F\", \"o\": [3.067108353103612, 3.067108353103612]}, {\"fc\": \"#00007F\", \"o\": [3.211747866320402, 3.211747866320402]}, {\"fc\": \"#00007F\", \"o\": [3.1019646162589813, 3.1019646162589813]}, {\"fc\": \"#00007F\", \"o\": [3.6878254683939384, 3.6878254683939384]}, {\"fc\": \"#00007F\", \"o\": [3.9819787360604217, 3.9819787360604217]}, {\"fc\": \"#00007F\", \"o\": [3.47309712381423, 3.47309712381423]}, {\"fc\": \"#00007F\", \"o\": [3.4479778119293454, 3.4479778119293454]}, {\"fc\": \"#00007F\", \"o\": [2.9011974848676187, 2.9011974848676187]}, {\"fc\": \"#00007F\", \"o\": [3.1066776771316675, 3.1066776771316675]}, {\"fc\": \"#00007F\", \"o\": [3.74619934338649, 3.74619934338649]}, {\"fc\": \"#00007F\", \"o\": [3.476023059739062, 3.476023059739062]}, {\"fc\": \"#00007F\", \"o\": [3.0860833357313426, 3.0860833357313426]}, {\"fc\": \"#00007F\", \"o\": [3.051710441925852, 3.051710441925852]}, {\"fc\": \"#00007F\", \"o\": [4.047292912565483, 4.047292912565483]}, {\"fc\": \"#00007F\", \"o\": [4.45422057804723, 4.45422057804723]}, {\"fc\": \"#00007F\", \"o\": [3.9731280168954792, 3.9731280168954792]}, {\"fc\": \"#00007F\", \"o\": [3.587273807590237, 3.587273807590237]}, {\"fc\": \"#00007F\", \"o\": [3.8175635265168553, 3.8175635265168553]}, {\"fc\": \"#00007F\", \"o\": [3.8851762245899537, 3.8851762245899537]}, {\"fc\": \"#00007F\", \"o\": [3.476667646665023, 3.476667646665023]}, {\"fc\": \"#00007F\", \"o\": [3.7301919052816452, 3.7301919052816452]}, {\"fc\": \"#00007F\", \"o\": [3.627781642305306, 3.627781642305306]}, {\"fc\": \"#00007F\", \"o\": [3.3060078996279145, 3.3060078996279145]}, {\"fc\": \"#00007F\", \"o\": [3.455834883561251, 3.455834883561251]}, {\"fc\": \"#00007F\", \"o\": [3.004500177152244, 3.004500177152244]}, {\"fc\": \"#00007F\", \"o\": [3.469501956207217, 3.469501956207217]}, {\"fc\": \"#00007F\", \"o\": [3.5187945082851346, 3.5187945082851346]}, {\"fc\": \"#00007F\", \"o\": [3.485955205027119, 3.485955205027119]}, {\"fc\": \"#00007F\", \"o\": [3.2942647057173957, 3.2942647057173957]}, {\"fc\": \"#00007F\", \"o\": [3.1916843944911055, 3.1916843944911055]}, {\"fc\": \"#00007F\", \"o\": [3.4182919756778856, 3.4182919756778856]}, {\"fc\": \"#00007F\", \"o\": [4.136001894426749, 4.136001894426749]}, {\"fc\": \"#00007F\", \"o\": [4.223440124504494, 4.223440124504494]}, {\"fc\": \"#00007F\", \"o\": [3.15335913485685, 3.15335913485685]}, {\"fc\": \"#00007F\", \"o\": [3.24393830352463, 3.24393830352463]}, {\"fc\": \"#00007F\", \"o\": [3.5567506065333157, 3.5567506065333157]}, {\"fc\": \"#00007F\", \"o\": [3.169410803184911, 3.169410803184911]}, {\"fc\": \"#00007F\", \"o\": [3.0812022308076283, 3.0812022308076283]}, {\"fc\": \"#00007F\", \"o\": [3.479500820158864, 3.479500820158864]}, {\"fc\": \"#00007F\", \"o\": [3.5649909051458937, 3.5649909051458937]}, {\"fc\": \"#00007F\", \"o\": [2.3678670755394413, 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[2.710871701214667, 2.710871701214667]}, {\"fc\": \"#7CFF79\", \"o\": [3.0540000899712028, 3.0540000899712028]}, {\"fc\": \"#7CFF79\", \"o\": [3.406578289741625, 3.406578289741625]}, {\"fc\": \"#7CFF79\", \"o\": [3.1016181749998766, 3.1016181749998766]}, {\"fc\": \"#7CFF79\", \"o\": [2.304869916622217, 2.304869916622217]}, {\"fc\": \"#7CFF79\", \"o\": [3.0442978424845077, 3.0442978424845077]}, {\"fc\": \"#7CFF79\", \"o\": [2.507703153674096, 2.507703153674096]}, {\"fc\": \"#7CFF79\", \"o\": [2.604512770746365, 2.604512770746365]}, {\"fc\": \"#7CFF79\", \"o\": [3.0071324126596752, 3.0071324126596752]}, {\"fc\": \"#7CFF79\", \"o\": [2.6306641399256794, 2.6306641399256794]}, {\"fc\": \"#7CFF79\", \"o\": [2.3866642934011173, 2.3866642934011173]}, {\"fc\": \"#7CFF79\", \"o\": [2.7734745592705994, 2.7734745592705994]}, {\"fc\": \"#7CFF79\", \"o\": [3.008261080463239, 3.008261080463239]}, {\"fc\": \"#7CFF79\", \"o\": [2.9475767646074917, 2.9475767646074917]}, {\"fc\": \"#7CFF79\", \"o\": [2.979647229441498, 2.979647229441498]}, {\"fc\": \"#7CFF79\", \"o\": [2.5314091321088026, 2.5314091321088026]}, {\"fc\": \"#7CFF79\", \"o\": [2.8499225360596308, 2.8499225360596308]}, {\"fc\": \"#7F0000\", \"o\": [3.383410911138409, 3.383410911138409]}, {\"fc\": \"#7F0000\", \"o\": [2.743099894740833, 2.743099894740833]}, {\"fc\": \"#7F0000\", \"o\": [3.0875920915465196, 3.0875920915465196]}, {\"fc\": \"#7F0000\", \"o\": [2.996247928825719, 2.996247928825719]}, {\"fc\": \"#7F0000\", \"o\": [3.0505677163043647, 3.0505677163043647]}, {\"fc\": \"#7F0000\", \"o\": [3.041307589831774, 3.041307589831774]}, {\"fc\": \"#7F0000\", \"o\": [2.5086009989106217, 2.5086009989106217]}, {\"fc\": \"#7F0000\", \"o\": [2.9880811764808652, 2.9880811764808652]}, {\"fc\": \"#7F0000\", \"o\": [2.5694795919930784, 2.5694795919930784]}, {\"fc\": \"#7F0000\", \"o\": [3.6480343601699396, 3.6480343601699396]}, {\"fc\": \"#7F0000\", \"o\": [3.2197108641128067, 3.2197108641128067]}, {\"fc\": \"#7F0000\", \"o\": [2.799903100024044, 2.799903100024044]}, {\"fc\": \"#7F0000\", \"o\": [3.013538493080966, 3.013538493080966]}, {\"fc\": \"#7F0000\", \"o\": [2.560522707614697, 2.560522707614697]}, {\"fc\": \"#7F0000\", \"o\": [2.8388231599625424, 2.8388231599625424]}, {\"fc\": \"#7F0000\", \"o\": [3.269805664274049, 3.269805664274049]}, {\"fc\": \"#7F0000\", \"o\": [3.063156523340311, 3.063156523340311]}, {\"fc\": \"#7F0000\", \"o\": [3.8429689487039997, 3.8429689487039997]}, {\"fc\": \"#7F0000\", \"o\": [2.6041975838438245, 2.6041975838438245]}, {\"fc\": \"#7F0000\", \"o\": [2.274030428937211, 2.274030428937211]}, {\"fc\": \"#7F0000\", \"o\": [3.2610099359039655, 3.2610099359039655]}, {\"fc\": \"#7F0000\", \"o\": [2.815654660474176, 2.815654660474176]}, {\"fc\": \"#7F0000\", \"o\": [2.8549809889381303, 2.8549809889381303]}, {\"fc\": \"#7F0000\", \"o\": [2.708357423210295, 2.708357423210295]}, {\"fc\": \"#7F0000\", \"o\": [3.3534979892231824, 3.3534979892231824]}, {\"fc\": \"#7F0000\", \"o\": [3.2034744689429377, 3.2034744689429377]}, {\"fc\": \"#7F0000\", \"o\": [2.879127139659853, 2.879127139659853]}, {\"fc\": \"#7F0000\", \"o\": [3.032892364677048, 3.032892364677048]}, {\"fc\": \"#7F0000\", \"o\": [2.8520851181109275, 2.8520851181109275]}, {\"fc\": \"#7F0000\", \"o\": [3.099301558027177, 3.099301558027177]}, {\"fc\": \"#7F0000\", \"o\": [2.8953552008048327, 2.8953552008048327]}, {\"fc\": \"#7F0000\", \"o\": [3.8659725128691838, 3.8659725128691838]}, {\"fc\": \"#7F0000\", \"o\": [2.844866603112297, 2.844866603112297]}, {\"fc\": \"#7F0000\", \"o\": [2.8752081806621073, 2.8752081806621073]}, {\"fc\": \"#7F0000\", \"o\": [2.6076937711831945, 2.6076937711831945]}, {\"fc\": \"#7F0000\", \"o\": [3.061057638861625, 3.061057638861625]}, {\"fc\": \"#7F0000\", \"o\": [3.4502553958727975, 3.4502553958727975]}, {\"fc\": \"#7F0000\", \"o\": [3.1984216994963273, 3.1984216994963273]}, {\"fc\": \"#7F0000\", \"o\": [3.0496807379783846, 3.0496807379783846]}, {\"fc\": \"#7F0000\", \"o\": [3.1254182526793644, 3.1254182526793644]}, {\"fc\": \"#7F0000\", \"o\": [3.18663308698516, 3.18663308698516]}, {\"fc\": \"#7F0000\", \"o\": [3.160677068130774, 3.160677068130774]}, {\"fc\": \"#7F0000\", \"o\": [2.724680701616441, 2.724680701616441]}, {\"fc\": \"#7F0000\", \"o\": [3.2735881232764696, 3.2735881232764696]}, {\"fc\": \"#7F0000\", \"o\": [3.3709821617603772, 3.3709821617603772]}, {\"fc\": \"#7F0000\", \"o\": [3.0783906512452583, 3.0783906512452583]}, {\"fc\": \"#7F0000\", \"o\": [2.5689996325431563, 2.5689996325431563]}, {\"fc\": \"#7F0000\", \"o\": [3.0719906896377975, 3.0719906896377975]}, {\"fc\": \"#7F0000\", \"o\": [3.4643978423598427, 3.4643978423598427]}, {\"fc\": \"#7F0000\", \"o\": [3.0355314052432614, 3.0355314052432614]}];\n",
        "\n",
        "  this.offset_func = function(d){\n",
        "     var offset = d.o ? d.o : [[0, 0]];\n",
        "\n",
        "       offset = [this.ax.x(offset[0]), this.ax.y(offset[1])];\n",
        "\n",
        "     return \"translate(\" + offset  + \")\";\n",
        "  };\n",
        "\n",
        "  this.path_func = function(d){\n",
        "     var path = d.p ? d.p : [[\"M\", [0.0, 0.5]], [\"C\", [0.13260155, 0.5, 0.25978993539242673, 0.44731684579412084, 0.3535533905932738, 0.3535533905932738]], [\"C\", [0.44731684579412084, 0.25978993539242673, 0.5, 0.13260155, 0.5, 0.0]], [\"C\", [0.5, -0.13260155, 0.44731684579412084, -0.25978993539242673, 0.3535533905932738, -0.3535533905932738]], [\"C\", [0.25978993539242673, -0.44731684579412084, 0.13260155, -0.5, 0.0, -0.5]], [\"C\", [-0.13260155, -0.5, -0.25978993539242673, -0.44731684579412084, -0.3535533905932738, -0.3535533905932738]], [\"C\", [-0.44731684579412084, -0.25978993539242673, -0.5, -0.13260155, -0.5, 0.0]], [\"C\", [-0.5, 0.13260155, -0.44731684579412084, 0.25978993539242673, -0.3535533905932738, 0.3535533905932738]], [\"C\", [-0.25978993539242673, 0.44731684579412084, -0.13260155, 0.5, 0.0, 0.5]], [\"Z\", [0.0, 0.5]]];\n",
        "     var size = d.s ? d.s : 7.0272836892630659;\n",
        "\n",
        "       var xscale = function(x){return size * x;};\n",
        "       var yscale = function(y){return size * y;};\n",
        "\n",
        "     return construct_SVG_path(path, xscale, yscale);\n",
        "  };\n",
        "\n",
        "  this.style_func = function(d){\n",
        "     var edgecolor = d.ec ? d.ec : \"#000000\";\n",
        "     var facecolor = d.fc ? d.fc : \"none\";\n",
        "     var linewidth = d.lw ? d.lw : 1.0;\n",
        "     var dasharray = d.ls ? d.ls : \"10,0\";\n",
        "     return \"stroke: \" + edgecolor + \"; \" +\n",
        "            \"stroke-width: \" + linewidth + \"; \" +\n",
        "            \"stroke-dasharray: \" + dasharray + \"; \" +\n",
        "            \"fill: \" + facecolor + \"; \" +\n",
        "            \"stroke-opacity: 0.3; \" +\n",
        "            \"fill-opacity: 0.3\";\n",
        "  };\n",
        "\n",
        "  this.draw = function(){\n",
        "    this.g = this.ax.axes.append(\"svg:g\");\n",
        "\n",
        "    this.g.selectAll(\"paths-3\")\n",
        "      .data(this.data)\n",
        "      .enter().append(\"svg:path\")\n",
        "          .attr('class', 'paths3')\n",
        "          .attr(\"d\", this.path_func.bind(this))\n",
        "          .attr(\"style\", this.style_func.bind(this))\n",
        "          .attr(\"transform\", this.offset_func.bind(this));\n",
        "  };\n",
        "\n",
        "  this.zoomed = function(){\n",
        "    this.g.selectAll(\".paths3\")\n",
        "\n",
        "\n",
        "               .attr(\"transform\", this.offset_func.bind(this))\n",
        "             ;\n",
        "  };\n",
        "};\n",
        "ax10.add_element(coll2a2f080493ad4daebac25b08f3e72016);\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "    var ax11 = new Axes(fig, [0.51046511627906976, 0.28023255813953485, 0.20930232558139539, 0.20930232558139539], [0.0, 8.0], [1.5, 5.0],\n",
        "                               \"linear\", \"linear\",\n",
        "                               [0.0, 8.0], [1.5, 5.0],\n",
        "                               false, false,\n",
        "                               \"axes11\",\n",
        "                               \"clipa470b298b67b466f8ed927d98d93d25711\", true);\n",
        "\n",
        "\n",
        "\n",
        "// Add an Axis element\n",
        "ax11.add_element(new Axis(ax11, \"bottom\",\n",
        "                                 9, null,\n",
        "                                 \"\"));\n",
        "\n",
        "\n",
        "\n",
        "// Add an Axis element\n",
        "ax11.add_element(new Axis(ax11, \"left\",\n",
        "                                 8, null,\n",
        "                                 \"\"));\n",
        "\n",
        "\n",
        "\n",
        "// Add a Collection\n",
        "var coll51e1ddbde8df4cf19e25d57e16c689f9 = new function(){\n",
        "  this.ax = ax11;\n",
        "  this.data = [{\"fc\": \"#00007F\", \"o\": [1.4316161330242176, 3.5125331359585066]}, {\"fc\": \"#00007F\", \"o\": [1.493878550986911, 3.067108353103612]}, {\"fc\": \"#00007F\", \"o\": [1.396631644818969, 3.211747866320402]}, {\"fc\": \"#00007F\", \"o\": [1.5468011286797387, 3.1019646162589813]}, {\"fc\": \"#00007F\", \"o\": [1.424951307384745, 3.6878254683939384]}, {\"fc\": \"#00007F\", \"o\": [1.7672571420949261, 3.9819787360604217]}, {\"fc\": \"#00007F\", \"o\": [1.4302957280511641, 3.47309712381423]}, {\"fc\": \"#00007F\", \"o\": [1.5816073106050164, 3.4479778119293454]}, {\"fc\": \"#00007F\", \"o\": [1.4010996168015073, 2.9011974848676187]}, {\"fc\": \"#00007F\", \"o\": [1.5786180858613859, 3.1066776771316675]}, {\"fc\": \"#00007F\", \"o\": [1.598839817226742, 3.74619934338649]}, {\"fc\": \"#00007F\", \"o\": [1.6191135712046822, 3.476023059739062]}, {\"fc\": \"#00007F\", \"o\": [1.4750660167728191, 3.0860833357313426]}, {\"fc\": \"#00007F\", \"o\": [1.1469671428712054, 3.051710441925852]}, {\"fc\": \"#00007F\", \"o\": [1.2068579618827082, 4.047292912565483]}, {\"fc\": \"#00007F\", \"o\": [1.5163388206986248, 4.45422057804723]}, {\"fc\": \"#00007F\", \"o\": [1.3329965081071364, 3.9731280168954792]}, {\"fc\": \"#00007F\", \"o\": [1.4477896372052157, 3.587273807590237]}, {\"fc\": \"#00007F\", \"o\": [1.7093066428155288, 3.8175635265168553]}, {\"fc\": \"#00007F\", \"o\": [1.5116402517614769, 3.8851762245899537]}, {\"fc\": \"#00007F\", \"o\": [1.7181248749546212, 3.476667646665023]}, {\"fc\": \"#00007F\", \"o\": [1.535930727921415, 3.7301919052816452]}, {\"fc\": \"#00007F\", \"o\": [1.0507628625793162, 3.627781642305306]}, {\"fc\": \"#00007F\", \"o\": [1.7476181991698319, 3.3060078996279145]}, {\"fc\": \"#00007F\", \"o\": [1.9639657824082728, 3.455834883561251]}, {\"fc\": \"#00007F\", \"o\": [1.6387235667137088, 3.004500177152244]}, {\"fc\": \"#00007F\", \"o\": [1.6138795828169066, 3.469501956207217]}, {\"fc\": \"#00007F\", \"o\": [1.5755746092234117, 3.5187945082851346]}, {\"fc\": \"#00007F\", \"o\": [1.4874470793959849, 3.485955205027119]}, {\"fc\": \"#00007F\", \"o\": [1.6765360199789396, 3.2942647057173957]}, {\"fc\": \"#00007F\", \"o\": [1.623723444602417, 3.1916843944911055]}, {\"fc\": \"#00007F\", \"o\": [1.5270228156433918, 3.4182919756778856]}, {\"fc\": \"#00007F\", \"o\": [1.5222269054840911, 4.136001894426749]}, {\"fc\": \"#00007F\", \"o\": [1.4502612321045796, 4.223440124504494]}, {\"fc\": \"#00007F\", \"o\": [1.5547122456422375, 3.15335913485685]}, {\"fc\": \"#00007F\", \"o\": [1.2274079102017468, 3.24393830352463]}, {\"fc\": \"#00007F\", \"o\": [1.3570819324113412, 3.5567506065333157]}, {\"fc\": \"#00007F\", \"o\": [1.5585968553294238, 3.169410803184911]}, {\"fc\": \"#00007F\", \"o\": [1.3282701525381209, 3.0812022308076283]}, {\"fc\": \"#00007F\", \"o\": [1.577805762777246, 3.479500820158864]}, {\"fc\": \"#00007F\", \"o\": [1.3044786125091261, 3.5649909051458937]}, {\"fc\": \"#00007F\", \"o\": [1.3425719549491706, 2.3678670755394413]}, {\"fc\": \"#00007F\", \"o\": [1.3379121812150319, 3.2945969691921415]}, {\"fc\": \"#00007F\", \"o\": [1.6810678287424012, 3.5871002638862803]}, {\"fc\": \"#00007F\", \"o\": [1.9106582101961473, 3.8325233674081516]}, {\"fc\": \"#00007F\", \"o\": [1.4428569859354377, 3.0232461497089504]}, {\"fc\": \"#00007F\", \"o\": [1.658033815465192, 3.8781835776659648]}, {\"fc\": \"#00007F\", \"o\": [1.463282217469763, 3.2815144079104597]}, {\"fc\": \"#00007F\", \"o\": [1.5850601345965576, 3.768377800437146]}, {\"fc\": \"#00007F\", \"o\": [1.4689283306809193, 3.3100210699886126]}, {\"fc\": \"#7CFF79\", \"o\": [4.799154617856054, 3.2072182916114262]}, {\"fc\": \"#7CFF79\", \"o\": [4.524812470114191, 3.2618410174479626]}, {\"fc\": \"#7CFF79\", \"o\": [4.974204460406819, 3.179886817347721]}, {\"fc\": \"#7CFF79\", \"o\": [4.062700433755716, 2.3725929782860065]}, {\"fc\": \"#7CFF79\", \"o\": [4.625568258356824, 2.881079739236597]}, {\"fc\": \"#7CFF79\", \"o\": [4.577985584696441, 2.8831452597529763]}, {\"fc\": \"#7CFF79\", \"o\": [4.779534320953203, 3.388235926560353]}, {\"fc\": \"#7CFF79\", \"o\": [3.3126116923847713, 2.4593680427599716]}, {\"fc\": \"#7CFF79\", \"o\": [4.697711210226701, 2.948419916212288]}, {\"fc\": \"#7CFF79\", \"o\": [3.9294801561075885, 2.7145272722773526]}, {\"fc\": \"#7CFF79\", \"o\": [3.5840587045851127, 2.045876071363899]}, {\"fc\": \"#7CFF79\", \"o\": [4.287938113865082, 3.021228151792397]}, {\"fc\": \"#7CFF79\", \"o\": [4.05749399483788, 2.2932617095744434]}, {\"fc\": \"#7CFF79\", \"o\": [4.781647734531785, 2.951624708679805]}, {\"fc\": \"#7CFF79\", \"o\": [3.633163350924255, 2.9326892055661777]}, {\"fc\": \"#7CFF79\", \"o\": [4.412228768313423, 3.1669393252420055]}, {\"fc\": \"#7CFF79\", \"o\": [4.54496531288017, 3.095070681239259]}, {\"fc\": \"#7CFF79\", \"o\": [4.132651751588993, 2.7188129929746276]}, {\"fc\": \"#7CFF79\", \"o\": [4.515116141416526, 2.234611907041435]}, {\"fc\": \"#7CFF79\", \"o\": [3.949288555796956, 2.589392079911959]}, {\"fc\": \"#7CFF79\", \"o\": [4.883631847319787, 3.296011444419958]}, {\"fc\": \"#7CFF79\", \"o\": [4.010205471217149, 2.881934832575746]}, {\"fc\": \"#7CFF79\", \"o\": [4.993852163375521, 2.5531260796408994]}, {\"fc\": \"#7CFF79\", \"o\": [4.756148076263992, 2.8659244525665097]}, {\"fc\": \"#7CFF79\", \"o\": [4.365385742742979, 2.9201062196712555]}, {\"fc\": \"#7CFF79\", \"o\": [4.418602365843915, 3.0930827746446776]}, {\"fc\": \"#7CFF79\", \"o\": [4.807778004737693, 2.8654749268910975]}, {\"fc\": \"#7CFF79\", \"o\": [5.034525267012793, 3.0171192671390505]}, {\"fc\": \"#7CFF79\", \"o\": [4.513201143151165, 2.966406545232206]}, {\"fc\": \"#7CFF79\", \"o\": [3.5273476557676915, 2.630885491750595]}, {\"fc\": \"#7CFF79\", \"o\": [3.814038595245608, 2.40727791057058]}, {\"fc\": \"#7CFF79\", \"o\": [3.7845744954853653, 2.477961609282258]}, {\"fc\": \"#7CFF79\", \"o\": [3.916901184500899, 2.7671318312039546]}, {\"fc\": \"#7CFF79\", \"o\": [5.1648051446763334, 2.710871701214667]}, {\"fc\": \"#7CFF79\", \"o\": [4.5520495701206265, 3.0540000899712028]}, {\"fc\": \"#7CFF79\", \"o\": [4.553342214548989, 3.406578289741625]}, {\"fc\": \"#7CFF79\", \"o\": [4.7088546047033875, 3.1016181749998766]}, {\"fc\": \"#7CFF79\", \"o\": [4.492441008962179, 2.304869916622217]}, {\"fc\": \"#7CFF79\", \"o\": [4.181503772068848, 3.0442978424845077]}, {\"fc\": \"#7CFF79\", \"o\": [4.082479582874754, 2.507703153674096]}, {\"fc\": \"#7CFF79\", \"o\": [4.45163250166473, 2.604512770746365]}, {\"fc\": \"#7CFF79\", \"o\": [4.689358307197675, 3.0071324126596752]}, {\"fc\": \"#7CFF79\", \"o\": [4.092961974827514, 2.6306641399256794]}, {\"fc\": \"#7CFF79\", \"o\": [3.380525920353661, 2.3866642934011173]}, {\"fc\": \"#7CFF79\", \"o\": [4.229884628698837, 2.7734745592705994]}, {\"fc\": \"#7CFF79\", \"o\": [4.263176687173466, 3.008261080463239]}, {\"fc\": \"#7CFF79\", \"o\": [4.245238441470811, 2.9475767646074917]}, {\"fc\": \"#7CFF79\", \"o\": [4.373945940724372, 2.979647229441498]}, {\"fc\": \"#7CFF79\", \"o\": [3.0086405071395443, 2.5314091321088026]}, {\"fc\": \"#7CFF79\", \"o\": [4.121915128499847, 2.8499225360596308]}, {\"fc\": \"#7F0000\", \"o\": [6.083402153614916, 3.383410911138409]}, {\"fc\": \"#7F0000\", \"o\": [5.1155309251041565, 2.743099894740833]}, {\"fc\": \"#7F0000\", \"o\": [5.911995483962641, 3.0875920915465196]}, {\"fc\": \"#7F0000\", \"o\": [5.635539938931352, 2.996247928825719]}, {\"fc\": \"#7F0000\", \"o\": [5.822285074439087, 3.0505677163043647]}, {\"fc\": \"#7F0000\", \"o\": [6.697192428831586, 3.041307589831774]}, {\"fc\": \"#7F0000\", \"o\": [4.586952313348642, 2.5086009989106217]}, {\"fc\": \"#7F0000\", \"o\": [6.3473448847207425, 2.9880811764808652]}, {\"fc\": \"#7F0000\", \"o\": [5.8712365427227, 2.5694795919930784]}, {\"fc\": \"#7F0000\", \"o\": [6.183175997579987, 3.6480343601699396]}, {\"fc\": \"#7F0000\", \"o\": [5.13866504714385, 3.2197108641128067]}, {\"fc\": \"#7F0000\", \"o\": [5.341146903125889, 2.799903100024044]}, {\"fc\": \"#7F0000\", \"o\": [5.556394537310805, 3.013538493080966]}, {\"fc\": \"#7F0000\", \"o\": [5.005464767575096, 2.560522707614697]}, {\"fc\": \"#7F0000\", \"o\": [5.105739523971555, 2.8388231599625424]}, {\"fc\": \"#7F0000\", \"o\": [5.363144206170341, 3.269805664274049]}, {\"fc\": \"#7F0000\", \"o\": [5.506888083035963, 3.063156523340311]}, {\"fc\": \"#7F0000\", \"o\": [6.744720066270181, 3.8429689487039997]}, {\"fc\": \"#7F0000\", \"o\": [6.919377206672821, 2.6041975838438245]}, {\"fc\": \"#7F0000\", \"o\": [5.027754824266786, 2.274030428937211]}, {\"fc\": \"#7F0000\", \"o\": [5.703809981729022, 3.2610099359039655]}, {\"fc\": \"#7F0000\", \"o\": [4.961963260796307, 2.815654660474176]}, {\"fc\": \"#7F0000\", \"o\": [6.754418071811609, 2.8549809889381303]}, {\"fc\": \"#7F0000\", \"o\": [4.967138825114432, 2.708357423210295]}, {\"fc\": \"#7F0000\", \"o\": [5.746545023726616, 3.3534979892231824]}, {\"fc\": \"#7F0000\", \"o\": [6.085981384437098, 3.2034744689429377]}, {\"fc\": \"#7F0000\", \"o\": [4.867566628880715, 2.879127139659853]}, {\"fc\": \"#7F0000\", \"o\": [4.959690969547166, 3.032892364677048]}, {\"fc\": \"#7F0000\", \"o\": [5.66564341896108, 2.8520851181109275]}, {\"fc\": \"#7F0000\", \"o\": [5.882346936981724, 3.099301558027177]}, {\"fc\": \"#7F0000\", \"o\": [6.117911816358235, 2.8953552008048327]}, {\"fc\": \"#7F0000\", \"o\": [6.419242343276655, 3.8659725128691838]}, {\"fc\": \"#7F0000\", \"o\": [5.60750916516096, 2.844866603112297]}, {\"fc\": \"#7F0000\", \"o\": [5.155416025194641, 2.8752081806621073]}, {\"fc\": \"#7F0000\", \"o\": [5.680713573206991, 2.6076937711831945]}, {\"fc\": \"#7F0000\", \"o\": [6.150158971869622, 3.061057638861625]}, {\"fc\": \"#7F0000\", \"o\": [5.6716568335616495, 3.4502553958727975]}, {\"fc\": \"#7F0000\", \"o\": [5.569328124116086, 3.1984216994963273]}, {\"fc\": \"#7F0000\", \"o\": [4.871690493738232, 3.0496807379783846]}, {\"fc\": \"#7F0000\", \"o\": [5.415694533239563, 3.1254182526793644]}, {\"fc\": \"#7F0000\", \"o\": [5.63226710529319, 3.18663308698516]}, {\"fc\": \"#7F0000\", \"o\": [5.188390209679276, 3.160677068130774]}, {\"fc\": \"#7F0000\", \"o\": [5.153481528498618, 2.724680701616441]}, {\"fc\": \"#7F0000\", \"o\": [5.996272609520356, 3.2735881232764696]}, {\"fc\": \"#7F0000\", \"o\": [5.788332329486726, 3.3709821617603772]}, {\"fc\": \"#7F0000\", \"o\": [5.228462948084129, 3.0783906512452583]}, {\"fc\": \"#7F0000\", \"o\": [5.017654276785061, 2.5689996325431563]}, {\"fc\": \"#7F0000\", \"o\": [5.25621760345115, 3.0719906896377975]}, {\"fc\": \"#7F0000\", \"o\": [5.45365695325202, 3.4643978423598427]}, {\"fc\": \"#7F0000\", \"o\": [5.184593837912855, 3.0355314052432614]}];\n",
        "\n",
        "  this.offset_func = function(d){\n",
        "     var offset = d.o ? d.o : [[0, 0]];\n",
        "\n",
        "       offset = [this.ax.x(offset[0]), this.ax.y(offset[1])];\n",
        "\n",
        "     return \"translate(\" + offset  + \")\";\n",
        "  };\n",
        "\n",
        "  this.path_func = function(d){\n",
        "     var path = d.p ? d.p : [[\"M\", [0.0, 0.5]], [\"C\", [0.13260155, 0.5, 0.25978993539242673, 0.44731684579412084, 0.3535533905932738, 0.3535533905932738]], [\"C\", [0.44731684579412084, 0.25978993539242673, 0.5, 0.13260155, 0.5, 0.0]], [\"C\", [0.5, -0.13260155, 0.44731684579412084, -0.25978993539242673, 0.3535533905932738, -0.3535533905932738]], [\"C\", [0.25978993539242673, -0.44731684579412084, 0.13260155, -0.5, 0.0, -0.5]], [\"C\", [-0.13260155, -0.5, -0.25978993539242673, -0.44731684579412084, -0.3535533905932738, -0.3535533905932738]], [\"C\", [-0.44731684579412084, -0.25978993539242673, -0.5, -0.13260155, -0.5, 0.0]], [\"C\", [-0.5, 0.13260155, -0.44731684579412084, 0.25978993539242673, -0.3535533905932738, 0.3535533905932738]], [\"C\", [-0.25978993539242673, 0.44731684579412084, -0.13260155, 0.5, 0.0, 0.5]], [\"Z\", [0.0, 0.5]]];\n",
        "     var size = d.s ? d.s : 7.0272836892630659;\n",
        "\n",
        "       var xscale = function(x){return size * x;};\n",
        "       var yscale = function(y){return size * y;};\n",
        "\n",
        "     return construct_SVG_path(path, xscale, yscale);\n",
        "  };\n",
        "\n",
        "  this.style_func = function(d){\n",
        "     var edgecolor = d.ec ? d.ec : \"#000000\";\n",
        "     var facecolor = d.fc ? d.fc : \"none\";\n",
        "     var linewidth = d.lw ? d.lw : 1.0;\n",
        "     var dasharray = d.ls ? d.ls : \"10,0\";\n",
        "     return \"stroke: \" + edgecolor + \"; \" +\n",
        "            \"stroke-width: \" + linewidth + \"; \" +\n",
        "            \"stroke-dasharray: \" + dasharray + \"; \" +\n",
        "            \"fill: \" + facecolor + \"; \" +\n",
        "            \"stroke-opacity: 0.3; \" +\n",
        "            \"fill-opacity: 0.3\";\n",
        "  };\n",
        "\n",
        "  this.draw = function(){\n",
        "    this.g = this.ax.axes.append(\"svg:g\");\n",
        "\n",
        "    this.g.selectAll(\"paths-3\")\n",
        "      .data(this.data)\n",
        "      .enter().append(\"svg:path\")\n",
        "          .attr('class', 'paths3')\n",
        "          .attr(\"d\", this.path_func.bind(this))\n",
        "          .attr(\"style\", this.style_func.bind(this))\n",
        "          .attr(\"transform\", this.offset_func.bind(this));\n",
        "  };\n",
        "\n",
        "  this.zoomed = function(){\n",
        "    this.g.selectAll(\".paths3\")\n",
        "\n",
        "\n",
        "               .attr(\"transform\", this.offset_func.bind(this))\n",
        "             ;\n",
        "  };\n",
        "};\n",
        "ax11.add_element(coll51e1ddbde8df4cf19e25d57e16c689f9);\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "    var ax12 = new Axes(fig, [0.74069767441860468, 0.28023255813953485, 0.20930232558139528, 0.20930232558139539], [-0.5, 3.0], [1.5, 5.0],\n",
        "                               \"linear\", \"linear\",\n",
        "                               [-0.5, 3.0], [1.5, 5.0],\n",
        "                               false, false,\n",
        "                               \"axes12\",\n",
        "                               \"clipa470b298b67b466f8ed927d98d93d25712\", true);\n",
        "\n",
        "\n",
        "\n",
        "// Add an Axis element\n",
        "ax12.add_element(new Axis(ax12, \"bottom\",\n",
        "                                 8, null,\n",
        "                                 \"\"));\n",
        "\n",
        "\n",
        "\n",
        "// Add an Axis element\n",
        "ax12.add_element(new Axis(ax12, \"left\",\n",
        "                                 8, null,\n",
        "                                 \"\"));\n",
        "\n",
        "\n",
        "\n",
        "// Add a Collection\n",
        "var coll062eaa24574c426da17d3096469c24e7 = new function(){\n",
        "  this.ax = ax12;\n",
        "  this.data = [{\"fc\": \"#00007F\", \"o\": [0.26211408454795315, 3.5125331359585066]}, {\"fc\": \"#00007F\", \"o\": [0.24207739258282485, 3.067108353103612]}, {\"fc\": \"#00007F\", \"o\": [0.2518855607938784, 3.211747866320402]}, {\"fc\": \"#00007F\", \"o\": [0.21714209929972506, 3.1019646162589813]}, {\"fc\": \"#00007F\", \"o\": [0.29174088458386305, 3.6878254683939384]}, {\"fc\": \"#00007F\", \"o\": [0.4709592319645498, 3.9819787360604217]}, {\"fc\": \"#00007F\", \"o\": [0.35491414139192506, 3.47309712381423]}, {\"fc\": \"#00007F\", \"o\": [0.2284565978776942, 3.4479778119293454]}, {\"fc\": \"#00007F\", \"o\": [0.29589379233349267, 2.9011974848676187]}, {\"fc\": \"#00007F\", \"o\": [0.15169766687624028, 3.1066776771316675]}, {\"fc\": \"#00007F\", \"o\": [0.2237893111942842, 3.74619934338649]}, {\"fc\": \"#00007F\", \"o\": [0.24424269319648467, 3.476023059739062]}, {\"fc\": \"#00007F\", \"o\": [0.10327757561343147, 3.0860833357313426]}, {\"fc\": \"#00007F\", \"o\": [0.11556226435907532, 3.051710441925852]}, {\"fc\": \"#00007F\", \"o\": [0.2743657971827985, 4.047292912565483]}, {\"fc\": \"#00007F\", \"o\": [0.48160719343562364, 4.45422057804723]}, {\"fc\": \"#00007F\", \"o\": [0.4042087400415593, 3.9731280168954792]}, {\"fc\": \"#00007F\", \"o\": [0.3309352277383192, 3.587273807590237]}, {\"fc\": \"#00007F\", \"o\": [0.380215760058558, 3.8175635265168553]}, {\"fc\": \"#00007F\", \"o\": [0.37083473385596416, 3.8851762245899537]}, {\"fc\": \"#00007F\", \"o\": [0.2754392893635559, 3.476667646665023]}, {\"fc\": \"#00007F\", \"o\": [0.45625460778737825, 3.7301919052816452]}, {\"fc\": \"#00007F\", \"o\": [0.25243453840860036, 3.627781642305306]}, {\"fc\": \"#00007F\", \"o\": [0.5243909256516152, 3.3060078996279145]}, {\"fc\": \"#00007F\", \"o\": [0.2198405109065725, 3.455834883561251]}, {\"fc\": \"#00007F\", \"o\": [0.24500801580814618, 3.004500177152244]}, {\"fc\": \"#00007F\", \"o\": [0.4062750857139841, 3.469501956207217]}, {\"fc\": \"#00007F\", \"o\": [0.2991863748274868, 3.5187945082851346]}, {\"fc\": \"#00007F\", \"o\": [0.24273140747733257, 3.485955205027119]}, {\"fc\": \"#00007F\", \"o\": [0.2786892396632271, 3.2942647057173957]}, {\"fc\": \"#00007F\", \"o\": [0.26150197656861607, 3.1916843944911055]}, {\"fc\": \"#00007F\", \"o\": [0.4854184302050224, 3.4182919756778856]}, {\"fc\": \"#00007F\", \"o\": [0.10878707260341314, 4.136001894426749]}, {\"fc\": \"#00007F\", \"o\": [0.2836201243947399, 4.223440124504494]}, {\"fc\": \"#00007F\", \"o\": [0.12068048263845797, 3.15335913485685]}, {\"fc\": \"#00007F\", \"o\": [0.2797057810774932, 3.24393830352463]}, {\"fc\": \"#00007F\", \"o\": [0.27494456100197096, 3.5567506065333157]}, {\"fc\": \"#00007F\", \"o\": [0.12036261510786876, 3.169410803184911]}, {\"fc\": \"#00007F\", \"o\": [0.2925030778578158, 3.0812022308076283]}, {\"fc\": \"#00007F\", \"o\": [0.22872900943739669, 3.479500820158864]}, {\"fc\": \"#00007F\", \"o\": [0.35511322716741844, 3.5649909051458937]}, {\"fc\": 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{\"fc\": \"#7CFF79\", \"o\": [1.3617467405344335, 2.8831452597529763]}, {\"fc\": \"#7CFF79\", \"o\": [1.6861808694071134, 3.388235926560353]}, {\"fc\": \"#7CFF79\", \"o\": [1.0075069568356416, 2.4593680427599716]}, {\"fc\": \"#7CFF79\", \"o\": [1.3228607993415933, 2.948419916212288]}, {\"fc\": \"#7CFF79\", \"o\": [1.4218823548458228, 2.7145272722773526]}, {\"fc\": \"#7CFF79\", \"o\": [1.0994779848375573, 2.045876071363899]}, {\"fc\": \"#7CFF79\", \"o\": [1.5444591163801504, 3.021228151792397]}, {\"fc\": \"#7CFF79\", \"o\": [1.050680954841573, 2.2932617095744434]}, {\"fc\": \"#7CFF79\", \"o\": [1.4285013406869287, 2.951624708679805]}, {\"fc\": \"#7CFF79\", \"o\": [1.372572704723528, 2.9326892055661777]}, {\"fc\": \"#7CFF79\", \"o\": [1.4002849502138954, 3.1669393252420055]}, {\"fc\": \"#7CFF79\", \"o\": [1.5142131109975212, 3.095070681239259]}, {\"fc\": \"#7CFF79\", \"o\": [1.0433743860790454, 2.7188129929746276]}, {\"fc\": \"#7CFF79\", \"o\": [1.524769979298187, 2.234611907041435]}, {\"fc\": \"#7CFF79\", \"o\": [1.101614158383419, 2.589392079911959]}, {\"fc\": \"#7CFF79\", \"o\": [1.8779534527983848, 3.296011444419958]}, {\"fc\": \"#7CFF79\", \"o\": [1.383139896680292, 2.881934832575746]}, {\"fc\": \"#7CFF79\", \"o\": [1.5242369146901027, 2.5531260796408994]}, {\"fc\": \"#7CFF79\", \"o\": [1.2694917367372256, 2.8659244525665097]}, {\"fc\": \"#7CFF79\", \"o\": [1.3876037373916799, 2.9201062196712555]}, {\"fc\": \"#7CFF79\", \"o\": [1.4749420585706414, 3.0930827746446776]}, {\"fc\": \"#7CFF79\", \"o\": [1.4454440776447168, 2.8654749268910975]}, {\"fc\": \"#7CFF79\", \"o\": [1.7895950774942597, 3.0171192671390505]}, {\"fc\": \"#7CFF79\", \"o\": [1.5230336395252295, 2.966406545232206]}, {\"fc\": \"#7CFF79\", \"o\": [1.0278108708108424, 2.630885491750595]}, {\"fc\": \"#7CFF79\", \"o\": [1.1932264202888339, 2.40727791057058]}, {\"fc\": \"#7CFF79\", \"o\": [1.092265312408356, 2.477961609282258]}, {\"fc\": \"#7CFF79\", \"o\": [1.26150452357094, 2.7671318312039546]}, {\"fc\": \"#7CFF79\", \"o\": [1.674684581626726, 2.710871701214667]}, {\"fc\": \"#7CFF79\", \"o\": [1.501475734622945, 3.0540000899712028]}, {\"fc\": \"#7CFF79\", \"o\": [1.6349812476650378, 3.406578289741625]}, {\"fc\": \"#7CFF79\", \"o\": [1.5205248490564054, 3.1016181749998766]}, {\"fc\": \"#7CFF79\", \"o\": [1.3957838638268676, 2.304869916622217]}, {\"fc\": \"#7CFF79\", \"o\": [1.3845336773739045, 3.0442978424845077]}, {\"fc\": \"#7CFF79\", \"o\": [1.3891026727695728, 2.507703153674096]}, {\"fc\": \"#7CFF79\", \"o\": [1.2893576408150762, 2.604512770746365]}, {\"fc\": \"#7CFF79\", \"o\": [1.4267924987880205, 3.0071324126596752]}, {\"fc\": \"#7CFF79\", \"o\": [1.2001825346073192, 2.6306641399256794]}, {\"fc\": \"#7CFF79\", \"o\": [1.0697685864416486, 2.3866642934011173]}, {\"fc\": \"#7CFF79\", \"o\": [1.37466223962439, 2.7734745592705994]}, {\"fc\": \"#7CFF79\", \"o\": [1.2844132380691708, 3.008261080463239]}, {\"fc\": \"#7CFF79\", \"o\": [1.3848846433048856, 2.9475767646074917]}, {\"fc\": \"#7CFF79\", \"o\": [1.319446733942039, 2.979647229441498]}, {\"fc\": \"#7CFF79\", \"o\": [1.1762918151709938, 2.5314091321088026]}, {\"fc\": \"#7CFF79\", \"o\": [1.3227048710155729, 2.8499225360596308]}, {\"fc\": \"#7F0000\", \"o\": [2.579309234897325, 3.383410911138409]}, {\"fc\": \"#7F0000\", \"o\": [1.9169125643969271, 2.743099894740833]}, {\"fc\": \"#7F0000\", \"o\": [2.185080250021786, 3.0875920915465196]}, {\"fc\": \"#7F0000\", \"o\": [1.8425844386426775, 2.996247928825719]}, {\"fc\": \"#7F0000\", \"o\": [2.2302106744151162, 3.0505677163043647]}, {\"fc\": \"#7F0000\", \"o\": [2.1749964009613385, 3.041307589831774]}, {\"fc\": \"#7F0000\", \"o\": [1.7197516805845103, 2.5086009989106217]}, {\"fc\": \"#7F0000\", \"o\": [1.8225397826860146, 2.9880811764808652]}, {\"fc\": \"#7F0000\", \"o\": [1.8729620924154617, 2.5694795919930784]}, {\"fc\": \"#7F0000\", \"o\": [2.5711784266343853, 3.6480343601699396]}, {\"fc\": \"#7F0000\", \"o\": [2.0238899606224634, 3.2197108641128067]}, {\"fc\": \"#7F0000\", \"o\": [1.9776599135076987, 2.799903100024044]}, {\"fc\": \"#7F0000\", \"o\": [2.129167629330241, 3.013538493080966]}, {\"fc\": \"#7F0000\", \"o\": [2.0181247849648463, 2.560522707614697]}, {\"fc\": \"#7F0000\", \"o\": [2.491259589073047, 2.8388231599625424]}, {\"fc\": \"#7F0000\", \"o\": [2.3889982865333135, 3.269805664274049]}, {\"fc\": \"#7F0000\", \"o\": [1.840851259884047, 3.063156523340311]}, {\"fc\": \"#7F0000\", \"o\": [2.248213098280573, 3.8429689487039997]}, {\"fc\": \"#7F0000\", \"o\": [2.386988774002282, 2.6041975838438245]}, {\"fc\": \"#7F0000\", \"o\": [1.580718490244431, 2.274030428937211]}, {\"fc\": \"#7F0000\", \"o\": [2.353884074390203, 3.2610099359039655]}, {\"fc\": \"#7F0000\", \"o\": [2.0041499544258374, 2.815654660474176]}, {\"fc\": \"#7F0000\", \"o\": [2.0435906081250317, 2.8549809889381303]}, {\"fc\": \"#7F0000\", \"o\": [1.8711351070581086, 2.708357423210295]}, {\"fc\": \"#7F0000\", \"o\": [2.1506074140461733, 3.3534979892231824]}, {\"fc\": \"#7F0000\", \"o\": [1.8272476978906937, 3.2034744689429377]}, {\"fc\": \"#7F0000\", \"o\": [1.862718476839224, 2.879127139659853]}, {\"fc\": \"#7F0000\", \"o\": [1.8234547609695029, 3.032892364677048]}, {\"fc\": \"#7F0000\", \"o\": [2.1276534972852934, 2.8520851181109275]}, {\"fc\": \"#7F0000\", \"o\": [1.6534517740398347, 3.099301558027177]}, {\"fc\": \"#7F0000\", \"o\": [1.927697773623496, 2.8953552008048327]}, {\"fc\": \"#7F0000\", \"o\": [2.05649442561218, 3.8659725128691838]}, {\"fc\": \"#7F0000\", \"o\": [2.2981573446503734, 2.844866603112297]}, {\"fc\": \"#7F0000\", \"o\": [1.5481162907302606, 2.8752081806621073]}, {\"fc\": \"#7F0000\", \"o\": [1.4425886121754743, 2.6076937711831945]}, {\"fc\": \"#7F0000\", \"o\": [2.361552239685412, 3.061057638861625]}, {\"fc\": \"#7F0000\", \"o\": [2.462275583544863, 3.4502553958727975]}, {\"fc\": \"#7F0000\", \"o\": [1.883801323556316, 3.1984216994963273]}, {\"fc\": \"#7F0000\", \"o\": [1.8326522066134092, 3.0496807379783846]}, {\"fc\": \"#7F0000\", \"o\": [2.1192554027182853, 3.1254182526793644]}, {\"fc\": \"#7F0000\", \"o\": [2.442231483755515, 3.18663308698516]}, {\"fc\": \"#7F0000\", \"o\": [2.336337631543308, 3.160677068130774]}, {\"fc\": \"#7F0000\", \"o\": [1.921198665276237, 2.724680701616441]}, {\"fc\": \"#7F0000\", \"o\": [2.341694500979048, 3.2735881232764696]}, {\"fc\": \"#7F0000\", \"o\": [2.520852868546693, 3.3709821617603772]}, {\"fc\": \"#7F0000\", \"o\": [2.398491119977099, 3.0783906512452583]}, {\"fc\": \"#7F0000\", \"o\": [1.9321378959987987, 2.5689996325431563]}, {\"fc\": \"#7F0000\", \"o\": [2.047739637225992, 3.0719906896377975]}, {\"fc\": \"#7F0000\", \"o\": [2.3085403144159344, 3.4643978423598427]}, {\"fc\": \"#7F0000\", \"o\": [1.881633157869167, 3.0355314052432614]}];\n",
        "\n",
        "  this.offset_func = function(d){\n",
        "     var offset = d.o ? d.o : [[0, 0]];\n",
        "\n",
        "       offset = [this.ax.x(offset[0]), this.ax.y(offset[1])];\n",
        "\n",
        "     return \"translate(\" + offset  + \")\";\n",
        "  };\n",
        "\n",
        "  this.path_func = function(d){\n",
        "     var path = d.p ? d.p : [[\"M\", [0.0, 0.5]], [\"C\", [0.13260155, 0.5, 0.25978993539242673, 0.44731684579412084, 0.3535533905932738, 0.3535533905932738]], [\"C\", [0.44731684579412084, 0.25978993539242673, 0.5, 0.13260155, 0.5, 0.0]], [\"C\", [0.5, -0.13260155, 0.44731684579412084, -0.25978993539242673, 0.3535533905932738, -0.3535533905932738]], [\"C\", [0.25978993539242673, -0.44731684579412084, 0.13260155, -0.5, 0.0, -0.5]], [\"C\", [-0.13260155, -0.5, -0.25978993539242673, -0.44731684579412084, -0.3535533905932738, -0.3535533905932738]], [\"C\", [-0.44731684579412084, -0.25978993539242673, -0.5, -0.13260155, -0.5, 0.0]], [\"C\", [-0.5, 0.13260155, -0.44731684579412084, 0.25978993539242673, -0.3535533905932738, 0.3535533905932738]], [\"C\", [-0.25978993539242673, 0.44731684579412084, -0.13260155, 0.5, 0.0, 0.5]], [\"Z\", [0.0, 0.5]]];\n",
        "     var size = d.s ? d.s : 7.0272836892630659;\n",
        "\n",
        "       var xscale = function(x){return size * x;};\n",
        "       var yscale = function(y){return size * y;};\n",
        "\n",
        "     return construct_SVG_path(path, xscale, yscale);\n",
        "  };\n",
        "\n",
        "  this.style_func = function(d){\n",
        "     var edgecolor = d.ec ? d.ec : \"#000000\";\n",
        "     var facecolor = d.fc ? d.fc : \"none\";\n",
        "     var linewidth = d.lw ? d.lw : 1.0;\n",
        "     var dasharray = d.ls ? d.ls : \"10,0\";\n",
        "     return \"stroke: \" + edgecolor + \"; \" +\n",
        "            \"stroke-width: \" + linewidth + \"; \" +\n",
        "            \"stroke-dasharray: \" + dasharray + \"; \" +\n",
        "            \"fill: \" + facecolor + \"; \" +\n",
        "            \"stroke-opacity: 0.3; \" +\n",
        "            \"fill-opacity: 0.3\";\n",
        "  };\n",
        "\n",
        "  this.draw = function(){\n",
        "    this.g = this.ax.axes.append(\"svg:g\");\n",
        "\n",
        "    this.g.selectAll(\"paths-3\")\n",
        "      .data(this.data)\n",
        "      .enter().append(\"svg:path\")\n",
        "          .attr('class', 'paths3')\n",
        "          .attr(\"d\", this.path_func.bind(this))\n",
        "          .attr(\"style\", this.style_func.bind(this))\n",
        "          .attr(\"transform\", this.offset_func.bind(this));\n",
        "  };\n",
        "\n",
        "  this.zoomed = function(){\n",
        "    this.g.selectAll(\".paths3\")\n",
        "\n",
        "\n",
        "               .attr(\"transform\", this.offset_func.bind(this))\n",
        "             ;\n",
        "  };\n",
        "};\n",
        "ax12.add_element(coll062eaa24574c426da17d3096469c24e7);\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "    var ax13 = new Axes(fig, [0.050000000000000003, 0.050000000000000044, 0.20930232558139533, 0.20930232558139528], [4.0, 8.5], [4.0, 8.5],\n",
        "                               \"linear\", \"linear\",\n",
        "                               [4.0, 8.5], [4.0, 8.5],\n",
        "                               false, false,\n",
        "                               \"axes13\",\n",
        "                               \"clipa470b298b67b466f8ed927d98d93d25713\", true);\n",
        "\n",
        "\n",
        "\n",
        "// Add an Axis element\n",
        "ax13.add_element(new Axis(ax13, \"bottom\",\n",
        "                                 10, null,\n",
        "                                 \"\"));\n",
        "\n",
        "\n",
        "\n",
        "// Add an Axis element\n",
        "ax13.add_element(new Axis(ax13, \"left\",\n",
        "                                 10, null,\n",
        "                                 \"\"));\n",
        "\n",
        "\n",
        "\n",
        "// Add a Collection\n",
        "var coll602afed1725546aca1ca4ba17bd012ca = new function(){\n",
        "  this.ax = ax13;\n",
        "  this.data = [{\"fc\": \"#00007F\", \"o\": [5.17090221659786, 5.17090221659786]}, {\"fc\": \"#00007F\", \"o\": [4.908589299872229, 4.908589299872229]}, {\"fc\": \"#00007F\", \"o\": [4.7703745384285146, 4.7703745384285146]}, {\"fc\": \"#00007F\", \"o\": [4.657142575307751, 4.657142575307751]}, {\"fc\": \"#00007F\", \"o\": [5.047822741002662, 5.047822741002662]}, {\"fc\": \"#00007F\", \"o\": [5.451200876564271, 5.451200876564271]}, {\"fc\": \"#00007F\", \"o\": [4.673932934965162, 4.673932934965162]}, {\"fc\": \"#00007F\", \"o\": [5.070957619190929, 5.070957619190929]}, {\"fc\": \"#00007F\", \"o\": [4.484546254314965, 4.484546254314965]}, {\"fc\": \"#00007F\", \"o\": [4.96022460122536, 4.96022460122536]}, {\"fc\": \"#00007F\", \"o\": [5.4484468479849415, 5.4484468479849415]}, {\"fc\": \"#00007F\", \"o\": [4.812595104062529, 4.812595104062529]}, {\"fc\": \"#00007F\", \"o\": [4.848229521227882, 4.848229521227882]}, {\"fc\": \"#00007F\", \"o\": [4.332031266648413, 4.332031266648413]}, {\"fc\": \"#00007F\", \"o\": [5.871754638893196, 5.871754638893196]}, {\"fc\": \"#00007F\", \"o\": [5.706692083840074, 5.706692083840074]}, {\"fc\": \"#00007F\", \"o\": [5.491807410632337, 5.491807410632337]}, {\"fc\": \"#00007F\", \"o\": [5.166695773482065, 5.166695773482065]}, {\"fc\": \"#00007F\", \"o\": [5.700874977846094, 5.700874977846094]}, {\"fc\": \"#00007F\", \"o\": [5.146572259043651, 5.146572259043651]}, {\"fc\": \"#00007F\", \"o\": [5.4404033011720845, 5.4404033011720845]}, {\"fc\": \"#00007F\", \"o\": [5.121205699077781, 5.121205699077781]}, {\"fc\": \"#00007F\", \"o\": [4.668784790266301, 4.668784790266301]}, {\"fc\": \"#00007F\", \"o\": [5.170741082019018, 5.170741082019018]}, {\"fc\": \"#00007F\", \"o\": [4.898929550397218, 4.898929550397218]}, {\"fc\": \"#00007F\", \"o\": [5.05921788997354, 5.05921788997354]}, {\"fc\": \"#00007F\", \"o\": [5.002027718903214, 5.002027718903214]}, {\"fc\": \"#00007F\", \"o\": [5.215603746288424, 5.215603746288424]}, 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[6.337892681485628, 6.337892681485628]}, {\"fc\": \"#7CFF79\", \"o\": [4.9683006882664085, 4.9683006882664085]}, {\"fc\": \"#7CFF79\", \"o\": [6.658781528319267, 6.658781528319267]}, {\"fc\": \"#7CFF79\", \"o\": [5.2052056601469445, 5.2052056601469445]}, {\"fc\": \"#7CFF79\", \"o\": [5.015064199836418, 5.015064199836418]}, {\"fc\": \"#7CFF79\", \"o\": [5.960814840448379, 5.960814840448379]}, {\"fc\": \"#7CFF79\", \"o\": [6.062183564174119, 6.062183564174119]}, {\"fc\": \"#7CFF79\", \"o\": [6.197040808986233, 6.197040808986233]}, {\"fc\": \"#7CFF79\", \"o\": [5.63135320216855, 5.63135320216855]}, {\"fc\": \"#7CFF79\", \"o\": [6.740755044871917, 6.740755044871917]}, {\"fc\": \"#7CFF79\", \"o\": [5.666165265760427, 5.666165265760427]}, {\"fc\": \"#7CFF79\", \"o\": [5.830335452875179, 5.830335452875179]}, {\"fc\": \"#7CFF79\", \"o\": [6.2364845167954375, 6.2364845167954375]}, {\"fc\": \"#7CFF79\", \"o\": [5.644117200120547, 5.644117200120547]}, {\"fc\": \"#7CFF79\", \"o\": [5.9296851862731215, 5.9296851862731215]}, {\"fc\": \"#7CFF79\", \"o\": [6.144471360541937, 6.144471360541937]}, {\"fc\": \"#7CFF79\", \"o\": [6.347211425075296, 6.347211425075296]}, {\"fc\": \"#7CFF79\", \"o\": [6.185116392648632, 6.185116392648632]}, {\"fc\": \"#7CFF79\", \"o\": [6.41564288380276, 6.41564288380276]}, {\"fc\": \"#7CFF79\", \"o\": [6.632226463414303, 6.632226463414303]}, {\"fc\": \"#7CFF79\", \"o\": [6.857840614107337, 6.857840614107337]}, {\"fc\": \"#7CFF79\", \"o\": [6.719172805365719, 6.719172805365719]}, {\"fc\": \"#7CFF79\", \"o\": [6.037676978007725, 6.037676978007725]}, {\"fc\": \"#7CFF79\", \"o\": [5.764698561804867, 5.764698561804867]}, {\"fc\": \"#7CFF79\", \"o\": [5.565151516778909, 5.565151516778909]}, {\"fc\": \"#7CFF79\", \"o\": [5.515055650471584, 5.515055650471584]}, {\"fc\": \"#7CFF79\", \"o\": [5.819278789431, 5.819278789431]}, {\"fc\": \"#7CFF79\", \"o\": [6.061559106431039, 6.061559106431039]}, {\"fc\": \"#7CFF79\", \"o\": [5.475286773027811, 5.475286773027811]}, {\"fc\": \"#7CFF79\", \"o\": [6.045915457384043, 6.045915457384043]}, {\"fc\": \"#7CFF79\", \"o\": [6.72778326884466, 6.72778326884466]}, {\"fc\": \"#7CFF79\", \"o\": [6.396585051628201, 6.396585051628201]}, {\"fc\": \"#7CFF79\", \"o\": [5.614982874237223, 5.614982874237223]}, {\"fc\": \"#7CFF79\", \"o\": [5.558830643252964, 5.558830643252964]}, {\"fc\": \"#7CFF79\", \"o\": [5.506771338560184, 5.506771338560184]}, {\"fc\": \"#7CFF79\", \"o\": [6.151040589481382, 6.151040589481382]}, {\"fc\": \"#7CFF79\", \"o\": [5.844597214761113, 5.844597214761113]}, {\"fc\": \"#7CFF79\", \"o\": [5.062062817080695, 5.062062817080695]}, {\"fc\": \"#7CFF79\", \"o\": [5.634088782910842, 5.634088782910842]}, {\"fc\": \"#7CFF79\", \"o\": [5.788051507175449, 5.788051507175449]}, {\"fc\": \"#7CFF79\", \"o\": [5.76504665578786, 5.76504665578786]}, {\"fc\": \"#7CFF79\", \"o\": [6.245564322614669, 6.245564322614669]}, {\"fc\": \"#7CFF79\", \"o\": [5.122516963867632, 5.122516963867632]}, {\"fc\": \"#7CFF79\", \"o\": [5.702902851455477, 5.702902851455477]}, {\"fc\": \"#7F0000\", \"o\": [6.322020895103499, 6.322020895103499]}, {\"fc\": \"#7F0000\", \"o\": [5.8847656082102935, 5.8847656082102935]}, {\"fc\": \"#7F0000\", \"o\": [7.102102256290003, 7.102102256290003]}, {\"fc\": \"#7F0000\", \"o\": [6.321873020918329, 6.321873020918329]}, {\"fc\": \"#7F0000\", \"o\": [6.5464661091203995, 6.5464661091203995]}, {\"fc\": \"#7F0000\", \"o\": [7.648599987894167, 7.648599987894167]}, {\"fc\": \"#7F0000\", \"o\": [4.994362775543955, 4.994362775543955]}, {\"fc\": \"#7F0000\", \"o\": [7.330189634552601, 7.330189634552601]}, {\"fc\": \"#7F0000\", \"o\": [6.7698044241361455, 6.7698044241361455]}, {\"fc\": \"#7F0000\", \"o\": [7.218306783199179, 7.218306783199179]}, {\"fc\": \"#7F0000\", \"o\": [6.584941225766065, 6.584941225766065]}, {\"fc\": \"#7F0000\", \"o\": [6.414207588775992, 6.414207588775992]}, {\"fc\": \"#7F0000\", \"o\": [6.829963709413679, 6.829963709413679]}, {\"fc\": 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\"o\": [6.1859642953066, 6.1859642953066]}, {\"fc\": \"#7F0000\", \"o\": [6.486598455740721, 6.486598455740721]}, {\"fc\": \"#7F0000\", \"o\": [7.204221343973254, 7.204221343973254]}, {\"fc\": \"#7F0000\", \"o\": [7.41810737262156, 7.41810737262156]}, {\"fc\": \"#7F0000\", \"o\": [7.946542036310617, 7.946542036310617]}, {\"fc\": \"#7F0000\", \"o\": [6.482970103817224, 6.482970103817224]}, {\"fc\": \"#7F0000\", \"o\": [6.347141375296634, 6.347141375296634]}, {\"fc\": \"#7F0000\", \"o\": [6.140651222285372, 6.140651222285372]}, {\"fc\": \"#7F0000\", \"o\": [7.755723580240427, 7.755723580240427]}, {\"fc\": \"#7F0000\", \"o\": [6.390601543952723, 6.390601543952723]}, {\"fc\": \"#7F0000\", \"o\": [6.461233606556314, 6.461233606556314]}, {\"fc\": \"#7F0000\", \"o\": [6.05769332455086, 6.05769332455086]}, {\"fc\": \"#7F0000\", \"o\": [6.931919784761067, 6.931919784761067]}, {\"fc\": \"#7F0000\", \"o\": [6.7818532385777495, 6.7818532385777495]}, {\"fc\": \"#7F0000\", \"o\": [6.907488198152424, 6.907488198152424]}, {\"fc\": \"#7F0000\", \"o\": [5.814475345627497, 5.814475345627497]}, {\"fc\": \"#7F0000\", \"o\": [6.852262506592783, 6.852262506592783]}, {\"fc\": \"#7F0000\", \"o\": [6.780746683526441, 6.780746683526441]}, {\"fc\": \"#7F0000\", \"o\": [6.771339935314962, 6.771339935314962]}, {\"fc\": \"#7F0000\", \"o\": [6.3322609707290045, 6.3322609707290045]}, {\"fc\": \"#7F0000\", \"o\": [6.509823587726695, 6.509823587726695]}, {\"fc\": \"#7F0000\", \"o\": [6.22814622870314, 6.22814622870314]}, {\"fc\": \"#7F0000\", \"o\": [5.911827914718795, 5.911827914718795]}];\n",
        "\n",
        "  this.offset_func = function(d){\n",
        "     var offset = d.o ? d.o : [[0, 0]];\n",
        "\n",
        "       offset = [this.ax.x(offset[0]), this.ax.y(offset[1])];\n",
        "\n",
        "     return \"translate(\" + offset  + \")\";\n",
        "  };\n",
        "\n",
        "  this.path_func = function(d){\n",
        "     var path = d.p ? d.p : [[\"M\", [0.0, 0.5]], [\"C\", [0.13260155, 0.5, 0.25978993539242673, 0.44731684579412084, 0.3535533905932738, 0.3535533905932738]], [\"C\", [0.44731684579412084, 0.25978993539242673, 0.5, 0.13260155, 0.5, 0.0]], [\"C\", [0.5, -0.13260155, 0.44731684579412084, -0.25978993539242673, 0.3535533905932738, -0.3535533905932738]], [\"C\", [0.25978993539242673, -0.44731684579412084, 0.13260155, -0.5, 0.0, -0.5]], [\"C\", [-0.13260155, -0.5, -0.25978993539242673, -0.44731684579412084, -0.3535533905932738, -0.3535533905932738]], [\"C\", [-0.44731684579412084, -0.25978993539242673, -0.5, -0.13260155, -0.5, 0.0]], [\"C\", [-0.5, 0.13260155, -0.44731684579412084, 0.25978993539242673, -0.3535533905932738, 0.3535533905932738]], [\"C\", [-0.25978993539242673, 0.44731684579412084, -0.13260155, 0.5, 0.0, 0.5]], [\"Z\", [0.0, 0.5]]];\n",
        "     var size = d.s ? d.s : 7.0272836892630659;\n",
        "\n",
        "       var xscale = function(x){return size * x;};\n",
        "       var yscale = function(y){return size * y;};\n",
        "\n",
        "     return construct_SVG_path(path, xscale, yscale);\n",
        "  };\n",
        "\n",
        "  this.style_func = function(d){\n",
        "     var edgecolor = d.ec ? d.ec : \"#000000\";\n",
        "     var facecolor = d.fc ? d.fc : \"none\";\n",
        "     var linewidth = d.lw ? d.lw : 1.0;\n",
        "     var dasharray = d.ls ? d.ls : \"10,0\";\n",
        "     return \"stroke: \" + edgecolor + \"; \" +\n",
        "            \"stroke-width: \" + linewidth + \"; \" +\n",
        "            \"stroke-dasharray: \" + dasharray + \"; \" +\n",
        "            \"fill: \" + facecolor + \"; \" +\n",
        "            \"stroke-opacity: 0.3; \" +\n",
        "            \"fill-opacity: 0.3\";\n",
        "  };\n",
        "\n",
        "  this.draw = function(){\n",
        "    this.g = this.ax.axes.append(\"svg:g\");\n",
        "\n",
        "    this.g.selectAll(\"paths-3\")\n",
        "      .data(this.data)\n",
        "      .enter().append(\"svg:path\")\n",
        "          .attr('class', 'paths3')\n",
        "          .attr(\"d\", this.path_func.bind(this))\n",
        "          .attr(\"style\", this.style_func.bind(this))\n",
        "          .attr(\"transform\", this.offset_func.bind(this));\n",
        "  };\n",
        "\n",
        "  this.zoomed = function(){\n",
        "    this.g.selectAll(\".paths3\")\n",
        "\n",
        "\n",
        "               .attr(\"transform\", this.offset_func.bind(this))\n",
        "             ;\n",
        "  };\n",
        "};\n",
        "ax13.add_element(coll602afed1725546aca1ca4ba17bd012ca);\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "    var ax14 = new Axes(fig, [0.28023255813953485, 0.050000000000000044, 0.20930232558139533, 0.20930232558139528], [1.5, 5.0], [4.0, 8.5],\n",
        "                               \"linear\", \"linear\",\n",
        "                               [1.5, 5.0], [4.0, 8.5],\n",
        "                               false, false,\n",
        "                               \"axes14\",\n",
        "                               \"clipa470b298b67b466f8ed927d98d93d25714\", true);\n",
        "\n",
        "\n",
        "\n",
        "// Add an Axis element\n",
        "ax14.add_element(new Axis(ax14, \"bottom\",\n",
        "                                 8, null,\n",
        "                                 \"\"));\n",
        "\n",
        "\n",
        "\n",
        "// Add an Axis element\n",
        "ax14.add_element(new Axis(ax14, \"left\",\n",
        "                                 10, null,\n",
        "                                 \"\"));\n",
        "\n",
        "\n",
        "\n",
        "// Add a Collection\n",
        "var colld45b17de06704d29881ae7b0f3a07089 = new function(){\n",
        "  this.ax = ax14;\n",
        "  this.data = [{\"fc\": \"#00007F\", \"o\": [3.5125331359585066, 5.17090221659786]}, {\"fc\": \"#00007F\", \"o\": [3.067108353103612, 4.908589299872229]}, {\"fc\": \"#00007F\", \"o\": [3.211747866320402, 4.7703745384285146]}, {\"fc\": \"#00007F\", \"o\": [3.1019646162589813, 4.657142575307751]}, {\"fc\": \"#00007F\", \"o\": [3.6878254683939384, 5.047822741002662]}, {\"fc\": \"#00007F\", \"o\": [3.9819787360604217, 5.451200876564271]}, {\"fc\": \"#00007F\", \"o\": [3.47309712381423, 4.673932934965162]}, {\"fc\": \"#00007F\", \"o\": [3.4479778119293454, 5.070957619190929]}, {\"fc\": \"#00007F\", \"o\": [2.9011974848676187, 4.484546254314965]}, {\"fc\": \"#00007F\", \"o\": [3.1066776771316675, 4.96022460122536]}, {\"fc\": \"#00007F\", \"o\": [3.74619934338649, 5.4484468479849415]}, {\"fc\": \"#00007F\", \"o\": [3.476023059739062, 4.812595104062529]}, {\"fc\": \"#00007F\", \"o\": [3.0860833357313426, 4.848229521227882]}, {\"fc\": \"#00007F\", \"o\": [3.051710441925852, 4.332031266648413]}, {\"fc\": \"#00007F\", \"o\": [4.047292912565483, 5.871754638893196]}, {\"fc\": \"#00007F\", \"o\": [4.45422057804723, 5.706692083840074]}, {\"fc\": \"#00007F\", \"o\": [3.9731280168954792, 5.491807410632337]}, {\"fc\": \"#00007F\", \"o\": [3.587273807590237, 5.166695773482065]}, {\"fc\": \"#00007F\", \"o\": [3.8175635265168553, 5.700874977846094]}, {\"fc\": \"#00007F\", \"o\": [3.8851762245899537, 5.146572259043651]}, {\"fc\": \"#00007F\", \"o\": [3.476667646665023, 5.4404033011720845]}, {\"fc\": \"#00007F\", \"o\": [3.7301919052816452, 5.121205699077781]}, {\"fc\": \"#00007F\", \"o\": [3.627781642305306, 4.668784790266301]}, {\"fc\": \"#00007F\", \"o\": [3.3060078996279145, 5.170741082019018]}, {\"fc\": \"#00007F\", \"o\": [3.455834883561251, 4.898929550397218]}, {\"fc\": \"#00007F\", \"o\": [3.004500177152244, 5.05921788997354]}, {\"fc\": \"#00007F\", \"o\": [3.469501956207217, 5.002027718903214]}, {\"fc\": \"#00007F\", \"o\": [3.5187945082851346, 5.215603746288424]}, {\"fc\": \"#00007F\", \"o\": [3.485955205027119, 5.2413195590622905]}, {\"fc\": \"#00007F\", \"o\": [3.2942647057173957, 4.788571774943383]}, {\"fc\": \"#00007F\", \"o\": [3.1916843944911055, 4.80576635921765]}, {\"fc\": \"#00007F\", \"o\": [3.4182919756778856, 5.411223486259187]}, {\"fc\": \"#00007F\", \"o\": [4.136001894426749, 5.2956019499489875]}, {\"fc\": \"#00007F\", \"o\": [4.223440124504494, 5.502111115176593]}, {\"fc\": \"#00007F\", \"o\": [3.15335913485685, 4.939256966254319]}, {\"fc\": \"#00007F\", \"o\": [3.24393830352463, 5.093265701334743]}, {\"fc\": \"#00007F\", \"o\": [3.5567506065333157, 5.512756056453292]}, {\"fc\": \"#00007F\", \"o\": [3.169410803184911, 4.903764304839228]}, {\"fc\": \"#00007F\", \"o\": [3.0812022308076283, 4.429757131409055]}, {\"fc\": \"#00007F\", \"o\": [3.479500820158864, 5.1735704227080666]}, {\"fc\": \"#00007F\", \"o\": [3.5649909051458937, 5.043034905251484]}, {\"fc\": \"#00007F\", \"o\": [2.3678670755394413, 4.541008040857622]}, {\"fc\": \"#00007F\", \"o\": [3.2945969691921415, 4.483829343244999]}, {\"fc\": \"#00007F\", \"o\": [3.5871002638862803, 5.0645661384546505]}, {\"fc\": \"#00007F\", \"o\": [3.8325233674081516, 5.130837417657947]}, {\"fc\": \"#00007F\", \"o\": [3.0232461497089504, 4.844275432241067]}, {\"fc\": \"#00007F\", \"o\": [3.8781835776659648, 5.176510872919131]}, {\"fc\": \"#00007F\", \"o\": [3.2815144079104597, 4.66364411495694]}, {\"fc\": \"#00007F\", \"o\": [3.768377800437146, 5.382849134509174]}, {\"fc\": \"#00007F\", \"o\": [3.3100210699886126, 5.023526869312312]}, {\"fc\": \"#7CFF79\", \"o\": [3.2072182916114262, 7.099886223518626]}, {\"fc\": \"#7CFF79\", \"o\": [3.2618410174479626, 6.454717939563357]}, {\"fc\": \"#7CFF79\", \"o\": [3.179886817347721, 6.958761834978345]}, {\"fc\": \"#7CFF79\", \"o\": [2.3725929782860065, 5.556815718623305]}, {\"fc\": \"#7CFF79\", \"o\": [2.881079739236597, 6.577024486163991]}, {\"fc\": \"#7CFF79\", \"o\": [2.8831452597529763, 5.708260873161247]}, {\"fc\": \"#7CFF79\", \"o\": [3.388235926560353, 6.337892681485628]}, {\"fc\": \"#7CFF79\", \"o\": [2.4593680427599716, 4.9683006882664085]}, {\"fc\": \"#7CFF79\", \"o\": [2.948419916212288, 6.658781528319267]}, {\"fc\": \"#7CFF79\", \"o\": [2.7145272722773526, 5.2052056601469445]}, {\"fc\": \"#7CFF79\", \"o\": [2.045876071363899, 5.015064199836418]}, {\"fc\": \"#7CFF79\", \"o\": [3.021228151792397, 5.960814840448379]}, {\"fc\": \"#7CFF79\", \"o\": [2.2932617095744434, 6.062183564174119]}, {\"fc\": \"#7CFF79\", \"o\": [2.951624708679805, 6.197040808986233]}, {\"fc\": \"#7CFF79\", \"o\": [2.9326892055661777, 5.63135320216855]}, {\"fc\": \"#7CFF79\", \"o\": [3.1669393252420055, 6.740755044871917]}, {\"fc\": \"#7CFF79\", \"o\": [3.095070681239259, 5.666165265760427]}, {\"fc\": \"#7CFF79\", \"o\": [2.7188129929746276, 5.830335452875179]}, {\"fc\": \"#7CFF79\", \"o\": [2.234611907041435, 6.2364845167954375]}, {\"fc\": \"#7CFF79\", \"o\": [2.589392079911959, 5.644117200120547]}, {\"fc\": \"#7CFF79\", \"o\": [3.296011444419958, 5.9296851862731215]}, {\"fc\": \"#7CFF79\", \"o\": [2.881934832575746, 6.144471360541937]}, {\"fc\": \"#7CFF79\", \"o\": [2.5531260796408994, 6.347211425075296]}, {\"fc\": \"#7CFF79\", \"o\": [2.8659244525665097, 6.185116392648632]}, {\"fc\": \"#7CFF79\", \"o\": [2.9201062196712555, 6.41564288380276]}, {\"fc\": \"#7CFF79\", \"o\": [3.0930827746446776, 6.632226463414303]}, {\"fc\": \"#7CFF79\", \"o\": [2.8654749268910975, 6.857840614107337]}, {\"fc\": \"#7CFF79\", \"o\": [3.0171192671390505, 6.719172805365719]}, {\"fc\": \"#7CFF79\", \"o\": [2.966406545232206, 6.037676978007725]}, {\"fc\": \"#7CFF79\", \"o\": [2.630885491750595, 5.764698561804867]}, {\"fc\": \"#7CFF79\", \"o\": [2.40727791057058, 5.565151516778909]}, {\"fc\": \"#7CFF79\", \"o\": [2.477961609282258, 5.515055650471584]}, {\"fc\": \"#7CFF79\", \"o\": [2.7671318312039546, 5.819278789431]}, {\"fc\": \"#7CFF79\", \"o\": [2.710871701214667, 6.061559106431039]}, {\"fc\": \"#7CFF79\", \"o\": [3.0540000899712028, 5.475286773027811]}, {\"fc\": \"#7CFF79\", \"o\": [3.406578289741625, 6.045915457384043]}, {\"fc\": \"#7CFF79\", \"o\": [3.1016181749998766, 6.72778326884466]}, {\"fc\": \"#7CFF79\", \"o\": [2.304869916622217, 6.396585051628201]}, {\"fc\": \"#7CFF79\", \"o\": [3.0442978424845077, 5.614982874237223]}, {\"fc\": \"#7CFF79\", \"o\": [2.507703153674096, 5.558830643252964]}, {\"fc\": \"#7CFF79\", \"o\": [2.604512770746365, 5.506771338560184]}, {\"fc\": \"#7CFF79\", \"o\": [3.0071324126596752, 6.151040589481382]}, {\"fc\": \"#7CFF79\", \"o\": [2.6306641399256794, 5.844597214761113]}, {\"fc\": \"#7CFF79\", \"o\": [2.3866642934011173, 5.062062817080695]}, {\"fc\": \"#7CFF79\", \"o\": [2.7734745592705994, 5.634088782910842]}, {\"fc\": \"#7CFF79\", \"o\": [3.008261080463239, 5.788051507175449]}, {\"fc\": \"#7CFF79\", \"o\": [2.9475767646074917, 5.76504665578786]}, {\"fc\": \"#7CFF79\", \"o\": [2.979647229441498, 6.245564322614669]}, {\"fc\": \"#7CFF79\", \"o\": [2.5314091321088026, 5.122516963867632]}, {\"fc\": \"#7CFF79\", \"o\": [2.8499225360596308, 5.702902851455477]}, {\"fc\": \"#7F0000\", \"o\": [3.383410911138409, 6.322020895103499]}, {\"fc\": \"#7F0000\", \"o\": [2.743099894740833, 5.8847656082102935]}, {\"fc\": \"#7F0000\", \"o\": [3.0875920915465196, 7.102102256290003]}, {\"fc\": \"#7F0000\", \"o\": [2.996247928825719, 6.321873020918329]}, {\"fc\": \"#7F0000\", \"o\": [3.0505677163043647, 6.5464661091203995]}, {\"fc\": \"#7F0000\", \"o\": [3.041307589831774, 7.648599987894167]}, {\"fc\": \"#7F0000\", \"o\": [2.5086009989106217, 4.994362775543955]}, {\"fc\": \"#7F0000\", \"o\": [2.9880811764808652, 7.330189634552601]}, {\"fc\": \"#7F0000\", \"o\": [2.5694795919930784, 6.7698044241361455]}, {\"fc\": \"#7F0000\", \"o\": [3.6480343601699396, 7.218306783199179]}, {\"fc\": \"#7F0000\", \"o\": [3.2197108641128067, 6.584941225766065]}, {\"fc\": \"#7F0000\", \"o\": [2.799903100024044, 6.414207588775992]}, {\"fc\": \"#7F0000\", \"o\": [3.013538493080966, 6.829963709413679]}, {\"fc\": \"#7F0000\", \"o\": [2.560522707614697, 5.7745227751880925]}, {\"fc\": \"#7F0000\", \"o\": [2.8388231599625424, 5.891915473138454]}, {\"fc\": \"#7F0000\", \"o\": [3.269805664274049, 6.416841121107455]}, {\"fc\": \"#7F0000\", \"o\": [3.063156523340311, 6.522891937429048]}, {\"fc\": \"#7F0000\", \"o\": [3.8429689487039997, 7.720594447234034]}, {\"fc\": \"#7F0000\", \"o\": [2.6041975838438245, 7.720066633693855]}, {\"fc\": \"#7F0000\", \"o\": [2.274030428937211, 6.082046061957738]}, {\"fc\": \"#7F0000\", \"o\": [3.2610099359039655, 6.934379411006562]}, {\"fc\": \"#7F0000\", \"o\": [2.815654660474176, 5.617980562281337]}, {\"fc\": \"#7F0000\", \"o\": [2.8549809889381303, 7.798981711347784]}, {\"fc\": \"#7F0000\", \"o\": [2.708357423210295, 6.304629815116675]}, {\"fc\": \"#7F0000\", \"o\": [3.3534979892231824, 6.765439107566598]}, {\"fc\": \"#7F0000\", \"o\": [3.2034744689429377, 7.249796824616699]}, {\"fc\": \"#7F0000\", \"o\": [2.879127139659853, 6.2964214892919435]}, {\"fc\": \"#7F0000\", \"o\": [3.032892364677048, 6.1859642953066]}, {\"fc\": \"#7F0000\", \"o\": [2.8520851181109275, 6.486598455740721]}, {\"fc\": \"#7F0000\", \"o\": [3.099301558027177, 7.204221343973254]}, {\"fc\": \"#7F0000\", \"o\": [2.8953552008048327, 7.41810737262156]}, {\"fc\": \"#7F0000\", \"o\": [3.8659725128691838, 7.946542036310617]}, {\"fc\": \"#7F0000\", \"o\": [2.844866603112297, 6.482970103817224]}, {\"fc\": \"#7F0000\", \"o\": [2.8752081806621073, 6.347141375296634]}, {\"fc\": \"#7F0000\", \"o\": [2.6076937711831945, 6.140651222285372]}, {\"fc\": \"#7F0000\", \"o\": [3.061057638861625, 7.755723580240427]}, {\"fc\": \"#7F0000\", \"o\": [3.4502553958727975, 6.390601543952723]}, {\"fc\": \"#7F0000\", \"o\": [3.1984216994963273, 6.461233606556314]}, {\"fc\": \"#7F0000\", \"o\": [3.0496807379783846, 6.05769332455086]}, {\"fc\": \"#7F0000\", \"o\": [3.1254182526793644, 6.931919784761067]}, {\"fc\": \"#7F0000\", \"o\": [3.18663308698516, 6.7818532385777495]}, {\"fc\": \"#7F0000\", \"o\": [3.160677068130774, 6.907488198152424]}, {\"fc\": \"#7F0000\", \"o\": [2.724680701616441, 5.814475345627497]}, {\"fc\": \"#7F0000\", \"o\": [3.2735881232764696, 6.852262506592783]}, {\"fc\": \"#7F0000\", \"o\": [3.3709821617603772, 6.780746683526441]}, {\"fc\": \"#7F0000\", \"o\": [3.0783906512452583, 6.771339935314962]}, {\"fc\": \"#7F0000\", \"o\": [2.5689996325431563, 6.3322609707290045]}, {\"fc\": \"#7F0000\", \"o\": [3.0719906896377975, 6.509823587726695]}, {\"fc\": \"#7F0000\", \"o\": [3.4643978423598427, 6.22814622870314]}, {\"fc\": \"#7F0000\", \"o\": [3.0355314052432614, 5.911827914718795]}];\n",
        "\n",
        "  this.offset_func = function(d){\n",
        "     var offset = d.o ? d.o : [[0, 0]];\n",
        "\n",
        "       offset = [this.ax.x(offset[0]), this.ax.y(offset[1])];\n",
        "\n",
        "     return \"translate(\" + offset  + \")\";\n",
        "  };\n",
        "\n",
        "  this.path_func = function(d){\n",
        "     var path = d.p ? d.p : [[\"M\", [0.0, 0.5]], [\"C\", [0.13260155, 0.5, 0.25978993539242673, 0.44731684579412084, 0.3535533905932738, 0.3535533905932738]], [\"C\", [0.44731684579412084, 0.25978993539242673, 0.5, 0.13260155, 0.5, 0.0]], [\"C\", [0.5, -0.13260155, 0.44731684579412084, -0.25978993539242673, 0.3535533905932738, -0.3535533905932738]], [\"C\", [0.25978993539242673, -0.44731684579412084, 0.13260155, -0.5, 0.0, -0.5]], [\"C\", [-0.13260155, -0.5, -0.25978993539242673, -0.44731684579412084, -0.3535533905932738, -0.3535533905932738]], [\"C\", [-0.44731684579412084, -0.25978993539242673, -0.5, -0.13260155, -0.5, 0.0]], [\"C\", [-0.5, 0.13260155, -0.44731684579412084, 0.25978993539242673, -0.3535533905932738, 0.3535533905932738]], [\"C\", [-0.25978993539242673, 0.44731684579412084, -0.13260155, 0.5, 0.0, 0.5]], [\"Z\", [0.0, 0.5]]];\n",
        "     var size = d.s ? d.s : 7.0272836892630659;\n",
        "\n",
        "       var xscale = function(x){return size * x;};\n",
        "       var yscale = function(y){return size * y;};\n",
        "\n",
        "     return construct_SVG_path(path, xscale, yscale);\n",
        "  };\n",
        "\n",
        "  this.style_func = function(d){\n",
        "     var edgecolor = d.ec ? d.ec : \"#000000\";\n",
        "     var facecolor = d.fc ? d.fc : \"none\";\n",
        "     var linewidth = d.lw ? d.lw : 1.0;\n",
        "     var dasharray = d.ls ? d.ls : \"10,0\";\n",
        "     return \"stroke: \" + edgecolor + \"; \" +\n",
        "            \"stroke-width: \" + linewidth + \"; \" +\n",
        "            \"stroke-dasharray: \" + dasharray + \"; \" +\n",
        "            \"fill: \" + facecolor + \"; \" +\n",
        "            \"stroke-opacity: 0.3; \" +\n",
        "            \"fill-opacity: 0.3\";\n",
        "  };\n",
        "\n",
        "  this.draw = function(){\n",
        "    this.g = this.ax.axes.append(\"svg:g\");\n",
        "\n",
        "    this.g.selectAll(\"paths-3\")\n",
        "      .data(this.data)\n",
        "      .enter().append(\"svg:path\")\n",
        "          .attr('class', 'paths3')\n",
        "          .attr(\"d\", this.path_func.bind(this))\n",
        "          .attr(\"style\", this.style_func.bind(this))\n",
        "          .attr(\"transform\", this.offset_func.bind(this));\n",
        "  };\n",
        "\n",
        "  this.zoomed = function(){\n",
        "    this.g.selectAll(\".paths3\")\n",
        "\n",
        "\n",
        "               .attr(\"transform\", this.offset_func.bind(this))\n",
        "             ;\n",
        "  };\n",
        "};\n",
        "ax14.add_element(colld45b17de06704d29881ae7b0f3a07089);\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "    var ax15 = new Axes(fig, [0.51046511627906976, 0.050000000000000044, 0.20930232558139539, 0.20930232558139528], [0.0, 8.0], [4.0, 8.5],\n",
        "                               \"linear\", \"linear\",\n",
        "                               [0.0, 8.0], [4.0, 8.5],\n",
        "                               false, false,\n",
        "                               \"axes15\",\n",
        "                               \"clipa470b298b67b466f8ed927d98d93d25715\", true);\n",
        "\n",
        "\n",
        "\n",
        "// Add an Axis element\n",
        "ax15.add_element(new Axis(ax15, \"bottom\",\n",
        "                                 9, null,\n",
        "                                 \"\"));\n",
        "\n",
        "\n",
        "\n",
        "// Add an Axis element\n",
        "ax15.add_element(new Axis(ax15, \"left\",\n",
        "                                 10, null,\n",
        "                                 \"\"));\n",
        "\n",
        "\n",
        "\n",
        "// Add a Collection\n",
        "var coll76fa78e2004a44a7bd8282f46cccdb42 = new function(){\n",
        "  this.ax = ax15;\n",
        "  this.data = [{\"fc\": \"#00007F\", \"o\": [1.4316161330242176, 5.17090221659786]}, {\"fc\": \"#00007F\", \"o\": [1.493878550986911, 4.908589299872229]}, {\"fc\": \"#00007F\", \"o\": [1.396631644818969, 4.7703745384285146]}, {\"fc\": \"#00007F\", \"o\": [1.5468011286797387, 4.657142575307751]}, {\"fc\": \"#00007F\", \"o\": [1.424951307384745, 5.047822741002662]}, {\"fc\": \"#00007F\", \"o\": [1.7672571420949261, 5.451200876564271]}, {\"fc\": \"#00007F\", \"o\": [1.4302957280511641, 4.673932934965162]}, {\"fc\": \"#00007F\", \"o\": [1.5816073106050164, 5.070957619190929]}, {\"fc\": \"#00007F\", \"o\": [1.4010996168015073, 4.484546254314965]}, {\"fc\": \"#00007F\", \"o\": [1.5786180858613859, 4.96022460122536]}, {\"fc\": \"#00007F\", \"o\": [1.598839817226742, 5.4484468479849415]}, {\"fc\": \"#00007F\", \"o\": [1.6191135712046822, 4.812595104062529]}, {\"fc\": \"#00007F\", \"o\": [1.4750660167728191, 4.848229521227882]}, {\"fc\": \"#00007F\", \"o\": [1.1469671428712054, 4.332031266648413]}, {\"fc\": \"#00007F\", \"o\": [1.2068579618827082, 5.871754638893196]}, {\"fc\": \"#00007F\", \"o\": [1.5163388206986248, 5.706692083840074]}, {\"fc\": \"#00007F\", \"o\": [1.3329965081071364, 5.491807410632337]}, {\"fc\": \"#00007F\", \"o\": [1.4477896372052157, 5.166695773482065]}, {\"fc\": \"#00007F\", \"o\": [1.7093066428155288, 5.700874977846094]}, {\"fc\": \"#00007F\", \"o\": [1.5116402517614769, 5.146572259043651]}, {\"fc\": \"#00007F\", \"o\": [1.7181248749546212, 5.4404033011720845]}, {\"fc\": \"#00007F\", \"o\": [1.535930727921415, 5.121205699077781]}, {\"fc\": \"#00007F\", \"o\": [1.0507628625793162, 4.668784790266301]}, {\"fc\": \"#00007F\", \"o\": [1.7476181991698319, 5.170741082019018]}, {\"fc\": \"#00007F\", \"o\": [1.9639657824082728, 4.898929550397218]}, {\"fc\": \"#00007F\", \"o\": [1.6387235667137088, 5.05921788997354]}, {\"fc\": \"#00007F\", \"o\": [1.6138795828169066, 5.002027718903214]}, {\"fc\": \"#00007F\", \"o\": [1.5755746092234117, 5.215603746288424]}, {\"fc\": \"#00007F\", \"o\": [1.4874470793959849, 5.2413195590622905]}, {\"fc\": \"#00007F\", \"o\": [1.6765360199789396, 4.788571774943383]}, {\"fc\": \"#00007F\", \"o\": [1.623723444602417, 4.80576635921765]}, {\"fc\": \"#00007F\", \"o\": [1.5270228156433918, 5.411223486259187]}, {\"fc\": \"#00007F\", \"o\": [1.5222269054840911, 5.2956019499489875]}, {\"fc\": \"#00007F\", \"o\": [1.4502612321045796, 5.502111115176593]}, {\"fc\": \"#00007F\", \"o\": [1.5547122456422375, 4.939256966254319]}, {\"fc\": \"#00007F\", \"o\": [1.2274079102017468, 5.093265701334743]}, {\"fc\": \"#00007F\", \"o\": [1.3570819324113412, 5.512756056453292]}, {\"fc\": \"#00007F\", \"o\": [1.5585968553294238, 4.903764304839228]}, {\"fc\": \"#00007F\", \"o\": [1.3282701525381209, 4.429757131409055]}, {\"fc\": \"#00007F\", \"o\": [1.577805762777246, 5.1735704227080666]}, {\"fc\": \"#00007F\", \"o\": [1.3044786125091261, 5.043034905251484]}, {\"fc\": \"#00007F\", \"o\": [1.3425719549491706, 4.541008040857622]}, {\"fc\": \"#00007F\", \"o\": [1.3379121812150319, 4.483829343244999]}, {\"fc\": \"#00007F\", \"o\": [1.6810678287424012, 5.0645661384546505]}, {\"fc\": \"#00007F\", \"o\": [1.9106582101961473, 5.130837417657947]}, {\"fc\": \"#00007F\", \"o\": [1.4428569859354377, 4.844275432241067]}, {\"fc\": \"#00007F\", \"o\": [1.658033815465192, 5.176510872919131]}, {\"fc\": \"#00007F\", \"o\": [1.463282217469763, 4.66364411495694]}, {\"fc\": \"#00007F\", \"o\": [1.5850601345965576, 5.382849134509174]}, {\"fc\": \"#00007F\", \"o\": [1.4689283306809193, 5.023526869312312]}, {\"fc\": \"#7CFF79\", \"o\": [4.799154617856054, 7.099886223518626]}, {\"fc\": \"#7CFF79\", \"o\": [4.524812470114191, 6.454717939563357]}, {\"fc\": \"#7CFF79\", \"o\": [4.974204460406819, 6.958761834978345]}, {\"fc\": \"#7CFF79\", \"o\": [4.062700433755716, 5.556815718623305]}, {\"fc\": \"#7CFF79\", \"o\": [4.625568258356824, 6.577024486163991]}, {\"fc\": \"#7CFF79\", \"o\": [4.577985584696441, 5.708260873161247]}, {\"fc\": \"#7CFF79\", \"o\": [4.779534320953203, 6.337892681485628]}, {\"fc\": \"#7CFF79\", \"o\": [3.3126116923847713, 4.9683006882664085]}, {\"fc\": \"#7CFF79\", \"o\": [4.697711210226701, 6.658781528319267]}, {\"fc\": \"#7CFF79\", \"o\": [3.9294801561075885, 5.2052056601469445]}, {\"fc\": \"#7CFF79\", \"o\": [3.5840587045851127, 5.015064199836418]}, {\"fc\": \"#7CFF79\", \"o\": [4.287938113865082, 5.960814840448379]}, {\"fc\": \"#7CFF79\", \"o\": [4.05749399483788, 6.062183564174119]}, {\"fc\": \"#7CFF79\", \"o\": [4.781647734531785, 6.197040808986233]}, {\"fc\": \"#7CFF79\", \"o\": [3.633163350924255, 5.63135320216855]}, {\"fc\": \"#7CFF79\", \"o\": [4.412228768313423, 6.740755044871917]}, {\"fc\": \"#7CFF79\", \"o\": [4.54496531288017, 5.666165265760427]}, {\"fc\": \"#7CFF79\", \"o\": [4.132651751588993, 5.830335452875179]}, {\"fc\": \"#7CFF79\", \"o\": [4.515116141416526, 6.2364845167954375]}, {\"fc\": \"#7CFF79\", \"o\": [3.949288555796956, 5.644117200120547]}, {\"fc\": \"#7CFF79\", \"o\": [4.883631847319787, 5.9296851862731215]}, {\"fc\": \"#7CFF79\", \"o\": [4.010205471217149, 6.144471360541937]}, {\"fc\": \"#7CFF79\", \"o\": [4.993852163375521, 6.347211425075296]}, {\"fc\": \"#7CFF79\", \"o\": [4.756148076263992, 6.185116392648632]}, {\"fc\": \"#7CFF79\", \"o\": [4.365385742742979, 6.41564288380276]}, {\"fc\": \"#7CFF79\", \"o\": [4.418602365843915, 6.632226463414303]}, {\"fc\": \"#7CFF79\", \"o\": [4.807778004737693, 6.857840614107337]}, {\"fc\": \"#7CFF79\", \"o\": [5.034525267012793, 6.719172805365719]}, {\"fc\": \"#7CFF79\", \"o\": [4.513201143151165, 6.037676978007725]}, {\"fc\": \"#7CFF79\", \"o\": [3.5273476557676915, 5.764698561804867]}, {\"fc\": \"#7CFF79\", \"o\": [3.814038595245608, 5.565151516778909]}, {\"fc\": \"#7CFF79\", \"o\": [3.7845744954853653, 5.515055650471584]}, {\"fc\": \"#7CFF79\", \"o\": [3.916901184500899, 5.819278789431]}, {\"fc\": \"#7CFF79\", \"o\": [5.1648051446763334, 6.061559106431039]}, {\"fc\": \"#7CFF79\", \"o\": [4.5520495701206265, 5.475286773027811]}, {\"fc\": \"#7CFF79\", \"o\": [4.553342214548989, 6.045915457384043]}, {\"fc\": \"#7CFF79\", \"o\": [4.7088546047033875, 6.72778326884466]}, {\"fc\": \"#7CFF79\", \"o\": [4.492441008962179, 6.396585051628201]}, {\"fc\": \"#7CFF79\", \"o\": [4.181503772068848, 5.614982874237223]}, {\"fc\": \"#7CFF79\", \"o\": [4.082479582874754, 5.558830643252964]}, {\"fc\": \"#7CFF79\", \"o\": [4.45163250166473, 5.506771338560184]}, {\"fc\": \"#7CFF79\", \"o\": [4.689358307197675, 6.151040589481382]}, {\"fc\": \"#7CFF79\", \"o\": [4.092961974827514, 5.844597214761113]}, {\"fc\": \"#7CFF79\", \"o\": [3.380525920353661, 5.062062817080695]}, {\"fc\": \"#7CFF79\", \"o\": [4.229884628698837, 5.634088782910842]}, {\"fc\": \"#7CFF79\", \"o\": [4.263176687173466, 5.788051507175449]}, {\"fc\": \"#7CFF79\", \"o\": [4.245238441470811, 5.76504665578786]}, {\"fc\": \"#7CFF79\", \"o\": [4.373945940724372, 6.245564322614669]}, {\"fc\": \"#7CFF79\", \"o\": [3.0086405071395443, 5.122516963867632]}, {\"fc\": \"#7CFF79\", \"o\": [4.121915128499847, 5.702902851455477]}, {\"fc\": \"#7F0000\", \"o\": [6.083402153614916, 6.322020895103499]}, {\"fc\": \"#7F0000\", \"o\": [5.1155309251041565, 5.8847656082102935]}, {\"fc\": \"#7F0000\", \"o\": [5.911995483962641, 7.102102256290003]}, {\"fc\": \"#7F0000\", \"o\": [5.635539938931352, 6.321873020918329]}, {\"fc\": \"#7F0000\", \"o\": [5.822285074439087, 6.5464661091203995]}, {\"fc\": \"#7F0000\", \"o\": [6.697192428831586, 7.648599987894167]}, {\"fc\": \"#7F0000\", \"o\": [4.586952313348642, 4.994362775543955]}, {\"fc\": \"#7F0000\", \"o\": [6.3473448847207425, 7.330189634552601]}, {\"fc\": \"#7F0000\", \"o\": [5.8712365427227, 6.7698044241361455]}, {\"fc\": \"#7F0000\", \"o\": [6.183175997579987, 7.218306783199179]}, {\"fc\": \"#7F0000\", \"o\": [5.13866504714385, 6.584941225766065]}, {\"fc\": \"#7F0000\", \"o\": [5.341146903125889, 6.414207588775992]}, {\"fc\": \"#7F0000\", \"o\": [5.556394537310805, 6.829963709413679]}, {\"fc\": \"#7F0000\", \"o\": [5.005464767575096, 5.7745227751880925]}, {\"fc\": \"#7F0000\", \"o\": [5.105739523971555, 5.891915473138454]}, {\"fc\": \"#7F0000\", \"o\": [5.363144206170341, 6.416841121107455]}, {\"fc\": \"#7F0000\", \"o\": [5.506888083035963, 6.522891937429048]}, {\"fc\": \"#7F0000\", \"o\": [6.744720066270181, 7.720594447234034]}, {\"fc\": \"#7F0000\", \"o\": [6.919377206672821, 7.720066633693855]}, {\"fc\": \"#7F0000\", \"o\": [5.027754824266786, 6.082046061957738]}, {\"fc\": \"#7F0000\", \"o\": [5.703809981729022, 6.934379411006562]}, {\"fc\": \"#7F0000\", \"o\": [4.961963260796307, 5.617980562281337]}, {\"fc\": \"#7F0000\", \"o\": [6.754418071811609, 7.798981711347784]}, {\"fc\": \"#7F0000\", \"o\": [4.967138825114432, 6.304629815116675]}, {\"fc\": \"#7F0000\", \"o\": [5.746545023726616, 6.765439107566598]}, {\"fc\": \"#7F0000\", \"o\": [6.085981384437098, 7.249796824616699]}, {\"fc\": \"#7F0000\", \"o\": [4.867566628880715, 6.2964214892919435]}, {\"fc\": \"#7F0000\", \"o\": [4.959690969547166, 6.1859642953066]}, {\"fc\": \"#7F0000\", \"o\": [5.66564341896108, 6.486598455740721]}, {\"fc\": \"#7F0000\", \"o\": [5.882346936981724, 7.204221343973254]}, {\"fc\": \"#7F0000\", \"o\": [6.117911816358235, 7.41810737262156]}, {\"fc\": \"#7F0000\", \"o\": [6.419242343276655, 7.946542036310617]}, {\"fc\": \"#7F0000\", \"o\": [5.60750916516096, 6.482970103817224]}, {\"fc\": \"#7F0000\", \"o\": [5.155416025194641, 6.347141375296634]}, {\"fc\": \"#7F0000\", \"o\": [5.680713573206991, 6.140651222285372]}, {\"fc\": \"#7F0000\", \"o\": [6.150158971869622, 7.755723580240427]}, {\"fc\": \"#7F0000\", \"o\": [5.6716568335616495, 6.390601543952723]}, {\"fc\": \"#7F0000\", \"o\": [5.569328124116086, 6.461233606556314]}, {\"fc\": \"#7F0000\", \"o\": [4.871690493738232, 6.05769332455086]}, {\"fc\": \"#7F0000\", \"o\": [5.415694533239563, 6.931919784761067]}, {\"fc\": \"#7F0000\", \"o\": [5.63226710529319, 6.7818532385777495]}, {\"fc\": \"#7F0000\", \"o\": [5.188390209679276, 6.907488198152424]}, {\"fc\": \"#7F0000\", \"o\": [5.153481528498618, 5.814475345627497]}, {\"fc\": \"#7F0000\", \"o\": [5.996272609520356, 6.852262506592783]}, {\"fc\": \"#7F0000\", \"o\": [5.788332329486726, 6.780746683526441]}, {\"fc\": \"#7F0000\", \"o\": [5.228462948084129, 6.771339935314962]}, {\"fc\": \"#7F0000\", \"o\": [5.017654276785061, 6.3322609707290045]}, {\"fc\": \"#7F0000\", \"o\": [5.25621760345115, 6.509823587726695]}, {\"fc\": \"#7F0000\", \"o\": [5.45365695325202, 6.22814622870314]}, {\"fc\": \"#7F0000\", \"o\": [5.184593837912855, 5.911827914718795]}];\n",
        "\n",
        "  this.offset_func = function(d){\n",
        "     var offset = d.o ? d.o : [[0, 0]];\n",
        "\n",
        "       offset = [this.ax.x(offset[0]), this.ax.y(offset[1])];\n",
        "\n",
        "     return \"translate(\" + offset  + \")\";\n",
        "  };\n",
        "\n",
        "  this.path_func = function(d){\n",
        "     var path = d.p ? d.p : [[\"M\", [0.0, 0.5]], [\"C\", [0.13260155, 0.5, 0.25978993539242673, 0.44731684579412084, 0.3535533905932738, 0.3535533905932738]], [\"C\", [0.44731684579412084, 0.25978993539242673, 0.5, 0.13260155, 0.5, 0.0]], [\"C\", [0.5, -0.13260155, 0.44731684579412084, -0.25978993539242673, 0.3535533905932738, -0.3535533905932738]], [\"C\", [0.25978993539242673, -0.44731684579412084, 0.13260155, -0.5, 0.0, -0.5]], [\"C\", [-0.13260155, -0.5, -0.25978993539242673, -0.44731684579412084, -0.3535533905932738, -0.3535533905932738]], [\"C\", [-0.44731684579412084, -0.25978993539242673, -0.5, -0.13260155, -0.5, 0.0]], [\"C\", [-0.5, 0.13260155, -0.44731684579412084, 0.25978993539242673, -0.3535533905932738, 0.3535533905932738]], [\"C\", [-0.25978993539242673, 0.44731684579412084, -0.13260155, 0.5, 0.0, 0.5]], [\"Z\", [0.0, 0.5]]];\n",
        "     var size = d.s ? d.s : 7.0272836892630659;\n",
        "\n",
        "       var xscale = function(x){return size * x;};\n",
        "       var yscale = function(y){return size * y;};\n",
        "\n",
        "     return construct_SVG_path(path, xscale, yscale);\n",
        "  };\n",
        "\n",
        "  this.style_func = function(d){\n",
        "     var edgecolor = d.ec ? d.ec : \"#000000\";\n",
        "     var facecolor = d.fc ? d.fc : \"none\";\n",
        "     var linewidth = d.lw ? d.lw : 1.0;\n",
        "     var dasharray = d.ls ? d.ls : \"10,0\";\n",
        "     return \"stroke: \" + edgecolor + \"; \" +\n",
        "            \"stroke-width: \" + linewidth + \"; \" +\n",
        "            \"stroke-dasharray: \" + dasharray + \"; \" +\n",
        "            \"fill: \" + facecolor + \"; \" +\n",
        "            \"stroke-opacity: 0.3; \" +\n",
        "            \"fill-opacity: 0.3\";\n",
        "  };\n",
        "\n",
        "  this.draw = function(){\n",
        "    this.g = this.ax.axes.append(\"svg:g\");\n",
        "\n",
        "    this.g.selectAll(\"paths-3\")\n",
        "      .data(this.data)\n",
        "      .enter().append(\"svg:path\")\n",
        "          .attr('class', 'paths3')\n",
        "          .attr(\"d\", this.path_func.bind(this))\n",
        "          .attr(\"style\", this.style_func.bind(this))\n",
        "          .attr(\"transform\", this.offset_func.bind(this));\n",
        "  };\n",
        "\n",
        "  this.zoomed = function(){\n",
        "    this.g.selectAll(\".paths3\")\n",
        "\n",
        "\n",
        "               .attr(\"transform\", this.offset_func.bind(this))\n",
        "             ;\n",
        "  };\n",
        "};\n",
        "ax15.add_element(coll76fa78e2004a44a7bd8282f46cccdb42);\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "    var ax16 = new Axes(fig, [0.74069767441860468, 0.050000000000000044, 0.20930232558139528, 0.20930232558139528], [-0.5, 3.0], [4.0, 8.5],\n",
        "                               \"linear\", \"linear\",\n",
        "                               [-0.5, 3.0], [4.0, 8.5],\n",
        "                               false, false,\n",
        "                               \"axes16\",\n",
        "                               \"clipa470b298b67b466f8ed927d98d93d25716\", true);\n",
        "\n",
        "\n",
        "\n",
        "// Add an Axis element\n",
        "ax16.add_element(new Axis(ax16, \"bottom\",\n",
        "                                 8, null,\n",
        "                                 \"\"));\n",
        "\n",
        "\n",
        "\n",
        "// Add an Axis element\n",
        "ax16.add_element(new Axis(ax16, \"left\",\n",
        "                                 10, null,\n",
        "                                 \"\"));\n",
        "\n",
        "\n",
        "\n",
        "// Add a Collection\n",
        "var coll3ac51cbd3dc34deb8e204e9ff7d022ec = new function(){\n",
        "  this.ax = ax16;\n",
        "  this.data = [{\"fc\": \"#00007F\", \"o\": [0.26211408454795315, 5.17090221659786]}, {\"fc\": \"#00007F\", \"o\": [0.24207739258282485, 4.908589299872229]}, {\"fc\": \"#00007F\", \"o\": [0.2518855607938784, 4.7703745384285146]}, {\"fc\": \"#00007F\", \"o\": [0.21714209929972506, 4.657142575307751]}, {\"fc\": \"#00007F\", \"o\": [0.29174088458386305, 5.047822741002662]}, {\"fc\": \"#00007F\", \"o\": [0.4709592319645498, 5.451200876564271]}, {\"fc\": \"#00007F\", \"o\": [0.35491414139192506, 4.673932934965162]}, {\"fc\": \"#00007F\", \"o\": [0.2284565978776942, 5.070957619190929]}, {\"fc\": \"#00007F\", \"o\": [0.29589379233349267, 4.484546254314965]}, {\"fc\": \"#00007F\", \"o\": [0.15169766687624028, 4.96022460122536]}, {\"fc\": \"#00007F\", \"o\": [0.2237893111942842, 5.4484468479849415]}, {\"fc\": \"#00007F\", \"o\": [0.24424269319648467, 4.812595104062529]}, {\"fc\": \"#00007F\", \"o\": [0.10327757561343147, 4.848229521227882]}, {\"fc\": \"#00007F\", \"o\": [0.11556226435907532, 4.332031266648413]}, {\"fc\": \"#00007F\", \"o\": [0.2743657971827985, 5.871754638893196]}, {\"fc\": \"#00007F\", \"o\": [0.48160719343562364, 5.706692083840074]}, {\"fc\": \"#00007F\", \"o\": [0.4042087400415593, 5.491807410632337]}, {\"fc\": \"#00007F\", \"o\": [0.3309352277383192, 5.166695773482065]}, {\"fc\": \"#00007F\", \"o\": [0.380215760058558, 5.700874977846094]}, {\"fc\": \"#00007F\", \"o\": [0.37083473385596416, 5.146572259043651]}, {\"fc\": \"#00007F\", \"o\": [0.2754392893635559, 5.4404033011720845]}, {\"fc\": \"#00007F\", \"o\": [0.45625460778737825, 5.121205699077781]}, {\"fc\": \"#00007F\", \"o\": [0.25243453840860036, 4.668784790266301]}, {\"fc\": \"#00007F\", \"o\": [0.5243909256516152, 5.170741082019018]}, {\"fc\": \"#00007F\", \"o\": [0.2198405109065725, 4.898929550397218]}, {\"fc\": \"#00007F\", \"o\": [0.24500801580814618, 5.05921788997354]}, {\"fc\": \"#00007F\", \"o\": [0.4062750857139841, 5.002027718903214]}, {\"fc\": \"#00007F\", \"o\": [0.2991863748274868, 5.215603746288424]}, {\"fc\": \"#00007F\", \"o\": [0.24273140747733257, 5.2413195590622905]}, {\"fc\": \"#00007F\", \"o\": [0.2786892396632271, 4.788571774943383]}, {\"fc\": \"#00007F\", \"o\": [0.26150197656861607, 4.80576635921765]}, {\"fc\": \"#00007F\", \"o\": [0.4854184302050224, 5.411223486259187]}, {\"fc\": \"#00007F\", \"o\": [0.10878707260341314, 5.2956019499489875]}, {\"fc\": \"#00007F\", \"o\": [0.2836201243947399, 5.502111115176593]}, {\"fc\": \"#00007F\", \"o\": [0.12068048263845797, 4.939256966254319]}, {\"fc\": \"#00007F\", \"o\": [0.2797057810774932, 5.093265701334743]}, {\"fc\": \"#00007F\", \"o\": [0.27494456100197096, 5.512756056453292]}, {\"fc\": \"#00007F\", \"o\": [0.12036261510786876, 4.903764304839228]}, {\"fc\": \"#00007F\", \"o\": [0.2925030778578158, 4.429757131409055]}, {\"fc\": \"#00007F\", \"o\": [0.22872900943739669, 5.1735704227080666]}, {\"fc\": \"#00007F\", \"o\": [0.35511322716741844, 5.043034905251484]}, {\"fc\": \"#00007F\", \"o\": [0.32203838030986703, 4.541008040857622]}, {\"fc\": \"#00007F\", \"o\": [0.24336035726660477, 4.483829343244999]}, {\"fc\": \"#00007F\", \"o\": [0.6238657381360954, 5.0645661384546505]}, {\"fc\": \"#00007F\", \"o\": [0.42063486087819163, 5.130837417657947]}, {\"fc\": \"#00007F\", \"o\": [0.33119131042284505, 4.844275432241067]}, {\"fc\": \"#00007F\", \"o\": [0.20151823708777453, 5.176510872919131]}, {\"fc\": \"#00007F\", \"o\": [0.29551214098041106, 4.66364411495694]}, {\"fc\": \"#00007F\", \"o\": [0.294312294658575, 5.382849134509174]}, {\"fc\": \"#00007F\", \"o\": [0.2584275824852433, 5.023526869312312]}, {\"fc\": \"#7CFF79\", \"o\": [1.4989462365111552, 7.099886223518626]}, {\"fc\": \"#7CFF79\", \"o\": [1.5290257558241185, 6.454717939563357]}, {\"fc\": \"#7CFF79\", \"o\": [1.506712456878768, 6.958761834978345]}, {\"fc\": \"#7CFF79\", \"o\": [1.3777416468213228, 5.556815718623305]}, {\"fc\": \"#7CFF79\", \"o\": [1.5550198465042657, 6.577024486163991]}, {\"fc\": \"#7CFF79\", \"o\": [1.3617467405344335, 5.708260873161247]}, {\"fc\": \"#7CFF79\", \"o\": [1.6861808694071134, 6.337892681485628]}, {\"fc\": \"#7CFF79\", \"o\": [1.0075069568356416, 4.9683006882664085]}, {\"fc\": \"#7CFF79\", \"o\": [1.3228607993415933, 6.658781528319267]}, {\"fc\": \"#7CFF79\", \"o\": [1.4218823548458228, 5.2052056601469445]}, {\"fc\": \"#7CFF79\", \"o\": [1.0994779848375573, 5.015064199836418]}, {\"fc\": \"#7CFF79\", \"o\": [1.5444591163801504, 5.960814840448379]}, {\"fc\": \"#7CFF79\", \"o\": [1.050680954841573, 6.062183564174119]}, {\"fc\": \"#7CFF79\", \"o\": [1.4285013406869287, 6.197040808986233]}, {\"fc\": \"#7CFF79\", \"o\": [1.372572704723528, 5.63135320216855]}, {\"fc\": \"#7CFF79\", \"o\": [1.4002849502138954, 6.740755044871917]}, {\"fc\": \"#7CFF79\", \"o\": [1.5142131109975212, 5.666165265760427]}, {\"fc\": \"#7CFF79\", \"o\": [1.0433743860790454, 5.830335452875179]}, {\"fc\": \"#7CFF79\", \"o\": [1.524769979298187, 6.2364845167954375]}, {\"fc\": \"#7CFF79\", \"o\": [1.101614158383419, 5.644117200120547]}, {\"fc\": \"#7CFF79\", \"o\": [1.8779534527983848, 5.9296851862731215]}, {\"fc\": \"#7CFF79\", \"o\": [1.383139896680292, 6.144471360541937]}, {\"fc\": \"#7CFF79\", \"o\": [1.5242369146901027, 6.347211425075296]}, {\"fc\": \"#7CFF79\", \"o\": [1.2694917367372256, 6.185116392648632]}, {\"fc\": \"#7CFF79\", \"o\": [1.3876037373916799, 6.41564288380276]}, {\"fc\": \"#7CFF79\", \"o\": [1.4749420585706414, 6.632226463414303]}, {\"fc\": \"#7CFF79\", \"o\": [1.4454440776447168, 6.857840614107337]}, {\"fc\": \"#7CFF79\", \"o\": [1.7895950774942597, 6.719172805365719]}, {\"fc\": \"#7CFF79\", \"o\": [1.5230336395252295, 6.037676978007725]}, {\"fc\": \"#7CFF79\", \"o\": [1.0278108708108424, 5.764698561804867]}, {\"fc\": \"#7CFF79\", \"o\": [1.1932264202888339, 5.565151516778909]}, {\"fc\": \"#7CFF79\", \"o\": [1.092265312408356, 5.515055650471584]}, {\"fc\": \"#7CFF79\", \"o\": [1.26150452357094, 5.819278789431]}, {\"fc\": \"#7CFF79\", \"o\": [1.674684581626726, 6.061559106431039]}, {\"fc\": \"#7CFF79\", \"o\": [1.501475734622945, 5.475286773027811]}, {\"fc\": \"#7CFF79\", \"o\": [1.6349812476650378, 6.045915457384043]}, {\"fc\": \"#7CFF79\", \"o\": [1.5205248490564054, 6.72778326884466]}, {\"fc\": \"#7CFF79\", \"o\": [1.3957838638268676, 6.396585051628201]}, {\"fc\": \"#7CFF79\", \"o\": [1.3845336773739045, 5.614982874237223]}, {\"fc\": \"#7CFF79\", \"o\": [1.3891026727695728, 5.558830643252964]}, {\"fc\": \"#7CFF79\", \"o\": [1.2893576408150762, 5.506771338560184]}, {\"fc\": \"#7CFF79\", \"o\": [1.4267924987880205, 6.151040589481382]}, {\"fc\": \"#7CFF79\", \"o\": [1.2001825346073192, 5.844597214761113]}, {\"fc\": \"#7CFF79\", \"o\": [1.0697685864416486, 5.062062817080695]}, {\"fc\": \"#7CFF79\", \"o\": [1.37466223962439, 5.634088782910842]}, {\"fc\": \"#7CFF79\", \"o\": [1.2844132380691708, 5.788051507175449]}, {\"fc\": \"#7CFF79\", \"o\": [1.3848846433048856, 5.76504665578786]}, {\"fc\": \"#7CFF79\", \"o\": [1.319446733942039, 6.245564322614669]}, {\"fc\": \"#7CFF79\", \"o\": [1.1762918151709938, 5.122516963867632]}, {\"fc\": \"#7CFF79\", \"o\": [1.3227048710155729, 5.702902851455477]}, {\"fc\": \"#7F0000\", \"o\": [2.579309234897325, 6.322020895103499]}, {\"fc\": \"#7F0000\", \"o\": [1.9169125643969271, 5.8847656082102935]}, {\"fc\": \"#7F0000\", \"o\": [2.185080250021786, 7.102102256290003]}, {\"fc\": \"#7F0000\", \"o\": [1.8425844386426775, 6.321873020918329]}, {\"fc\": \"#7F0000\", \"o\": [2.2302106744151162, 6.5464661091203995]}, {\"fc\": \"#7F0000\", \"o\": [2.1749964009613385, 7.648599987894167]}, {\"fc\": \"#7F0000\", \"o\": [1.7197516805845103, 4.994362775543955]}, {\"fc\": \"#7F0000\", \"o\": [1.8225397826860146, 7.330189634552601]}, {\"fc\": \"#7F0000\", \"o\": [1.8729620924154617, 6.7698044241361455]}, {\"fc\": \"#7F0000\", \"o\": [2.5711784266343853, 7.218306783199179]}, {\"fc\": \"#7F0000\", \"o\": [2.0238899606224634, 6.584941225766065]}, {\"fc\": \"#7F0000\", \"o\": [1.9776599135076987, 6.414207588775992]}, {\"fc\": \"#7F0000\", \"o\": [2.129167629330241, 6.829963709413679]}, {\"fc\": \"#7F0000\", \"o\": [2.0181247849648463, 5.7745227751880925]}, {\"fc\": \"#7F0000\", \"o\": [2.491259589073047, 5.891915473138454]}, {\"fc\": \"#7F0000\", \"o\": [2.3889982865333135, 6.416841121107455]}, {\"fc\": \"#7F0000\", \"o\": [1.840851259884047, 6.522891937429048]}, {\"fc\": \"#7F0000\", \"o\": [2.248213098280573, 7.720594447234034]}, {\"fc\": \"#7F0000\", \"o\": [2.386988774002282, 7.720066633693855]}, {\"fc\": \"#7F0000\", \"o\": [1.580718490244431, 6.082046061957738]}, {\"fc\": \"#7F0000\", \"o\": [2.353884074390203, 6.934379411006562]}, {\"fc\": \"#7F0000\", \"o\": [2.0041499544258374, 5.617980562281337]}, {\"fc\": \"#7F0000\", \"o\": [2.0435906081250317, 7.798981711347784]}, {\"fc\": \"#7F0000\", \"o\": [1.8711351070581086, 6.304629815116675]}, {\"fc\": \"#7F0000\", \"o\": [2.1506074140461733, 6.765439107566598]}, {\"fc\": \"#7F0000\", \"o\": [1.8272476978906937, 7.249796824616699]}, {\"fc\": \"#7F0000\", \"o\": [1.862718476839224, 6.2964214892919435]}, {\"fc\": \"#7F0000\", \"o\": [1.8234547609695029, 6.1859642953066]}, {\"fc\": \"#7F0000\", \"o\": [2.1276534972852934, 6.486598455740721]}, {\"fc\": \"#7F0000\", \"o\": [1.6534517740398347, 7.204221343973254]}, {\"fc\": \"#7F0000\", \"o\": [1.927697773623496, 7.41810737262156]}, {\"fc\": \"#7F0000\", \"o\": [2.05649442561218, 7.946542036310617]}, {\"fc\": \"#7F0000\", \"o\": [2.2981573446503734, 6.482970103817224]}, {\"fc\": \"#7F0000\", \"o\": [1.5481162907302606, 6.347141375296634]}, {\"fc\": \"#7F0000\", \"o\": [1.4425886121754743, 6.140651222285372]}, {\"fc\": \"#7F0000\", \"o\": [2.361552239685412, 7.755723580240427]}, {\"fc\": \"#7F0000\", \"o\": [2.462275583544863, 6.390601543952723]}, {\"fc\": \"#7F0000\", \"o\": [1.883801323556316, 6.461233606556314]}, {\"fc\": \"#7F0000\", \"o\": [1.8326522066134092, 6.05769332455086]}, {\"fc\": \"#7F0000\", \"o\": [2.1192554027182853, 6.931919784761067]}, {\"fc\": \"#7F0000\", \"o\": [2.442231483755515, 6.7818532385777495]}, {\"fc\": \"#7F0000\", \"o\": [2.336337631543308, 6.907488198152424]}, {\"fc\": \"#7F0000\", \"o\": [1.921198665276237, 5.814475345627497]}, {\"fc\": \"#7F0000\", \"o\": [2.341694500979048, 6.852262506592783]}, {\"fc\": \"#7F0000\", \"o\": [2.520852868546693, 6.780746683526441]}, {\"fc\": \"#7F0000\", \"o\": [2.398491119977099, 6.771339935314962]}, {\"fc\": \"#7F0000\", \"o\": [1.9321378959987987, 6.3322609707290045]}, {\"fc\": \"#7F0000\", \"o\": [2.047739637225992, 6.509823587726695]}, {\"fc\": \"#7F0000\", \"o\": [2.3085403144159344, 6.22814622870314]}, {\"fc\": \"#7F0000\", \"o\": [1.881633157869167, 5.911827914718795]}];\n",
        "\n",
        "  this.offset_func = function(d){\n",
        "     var offset = d.o ? d.o : [[0, 0]];\n",
        "\n",
        "       offset = [this.ax.x(offset[0]), this.ax.y(offset[1])];\n",
        "\n",
        "     return \"translate(\" + offset  + \")\";\n",
        "  };\n",
        "\n",
        "  this.path_func = function(d){\n",
        "     var path = d.p ? d.p : [[\"M\", [0.0, 0.5]], [\"C\", [0.13260155, 0.5, 0.25978993539242673, 0.44731684579412084, 0.3535533905932738, 0.3535533905932738]], [\"C\", [0.44731684579412084, 0.25978993539242673, 0.5, 0.13260155, 0.5, 0.0]], [\"C\", [0.5, -0.13260155, 0.44731684579412084, -0.25978993539242673, 0.3535533905932738, -0.3535533905932738]], [\"C\", [0.25978993539242673, -0.44731684579412084, 0.13260155, -0.5, 0.0, -0.5]], [\"C\", [-0.13260155, -0.5, -0.25978993539242673, -0.44731684579412084, -0.3535533905932738, -0.3535533905932738]], [\"C\", [-0.44731684579412084, -0.25978993539242673, -0.5, -0.13260155, -0.5, 0.0]], [\"C\", [-0.5, 0.13260155, -0.44731684579412084, 0.25978993539242673, -0.3535533905932738, 0.3535533905932738]], [\"C\", [-0.25978993539242673, 0.44731684579412084, -0.13260155, 0.5, 0.0, 0.5]], [\"Z\", [0.0, 0.5]]];\n",
        "     var size = d.s ? d.s : 7.0272836892630659;\n",
        "\n",
        "       var xscale = function(x){return size * x;};\n",
        "       var yscale = function(y){return size * y;};\n",
        "\n",
        "     return construct_SVG_path(path, xscale, yscale);\n",
        "  };\n",
        "\n",
        "  this.style_func = function(d){\n",
        "     var edgecolor = d.ec ? d.ec : \"#000000\";\n",
        "     var facecolor = d.fc ? d.fc : \"none\";\n",
        "     var linewidth = d.lw ? d.lw : 1.0;\n",
        "     var dasharray = d.ls ? d.ls : \"10,0\";\n",
        "     return \"stroke: \" + edgecolor + \"; \" +\n",
        "            \"stroke-width: \" + linewidth + \"; \" +\n",
        "            \"stroke-dasharray: \" + dasharray + \"; \" +\n",
        "            \"fill: \" + facecolor + \"; \" +\n",
        "            \"stroke-opacity: 0.3; \" +\n",
        "            \"fill-opacity: 0.3\";\n",
        "  };\n",
        "\n",
        "  this.draw = function(){\n",
        "    this.g = this.ax.axes.append(\"svg:g\");\n",
        "\n",
        "    this.g.selectAll(\"paths-3\")\n",
        "      .data(this.data)\n",
        "      .enter().append(\"svg:path\")\n",
        "          .attr('class', 'paths3')\n",
        "          .attr(\"d\", this.path_func.bind(this))\n",
        "          .attr(\"style\", this.style_func.bind(this))\n",
        "          .attr(\"transform\", this.offset_func.bind(this));\n",
        "  };\n",
        "\n",
        "  this.zoomed = function(){\n",
        "    this.g.selectAll(\".paths3\")\n",
        "\n",
        "\n",
        "               .attr(\"transform\", this.offset_func.bind(this))\n",
        "             ;\n",
        "  };\n",
        "};\n",
        "ax16.add_element(coll3ac51cbd3dc34deb8e204e9ff7d022ec);\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "        ax1.sharex = [ax5, ax9, ax13];\n",
        "\n",
        "\n",
        "        ax1.sharey = [ax2 ,ax3 ,ax4];\n",
        "\n",
        "\n",
        "\n",
        "        ax2.sharex = [ax6, ax10, ax14];\n",
        "\n",
        "\n",
        "        ax2.sharey = [ax1 ,ax3 ,ax4];\n",
        "\n",
        "\n",
        "\n",
        "        ax3.sharex = [ax7, ax11, ax15];\n",
        "\n",
        "\n",
        "        ax3.sharey = [ax1 ,ax2 ,ax4];\n",
        "\n",
        "\n",
        "\n",
        "        ax4.sharex = [ax8, ax12, ax16];\n",
        "\n",
        "\n",
        "        ax4.sharey = [ax1 ,ax2 ,ax3];\n",
        "\n",
        "\n",
        "\n",
        "        ax5.sharex = [ax1, ax9, ax13];\n",
        "\n",
        "\n",
        "        ax5.sharey = [ax6 ,ax7 ,ax8];\n",
        "\n",
        "\n",
        "\n",
        "        ax6.sharex = [ax2, ax10, ax14];\n",
        "\n",
        "\n",
        "        ax6.sharey = [ax5 ,ax7 ,ax8];\n",
        "\n",
        "\n",
        "\n",
        "        ax7.sharex = [ax3, ax11, ax15];\n",
        "\n",
        "\n",
        "        ax7.sharey = [ax5 ,ax6 ,ax8];\n",
        "\n",
        "\n",
        "\n",
        "        ax8.sharex = [ax4, ax12, ax16];\n",
        "\n",
        "\n",
        "        ax8.sharey = [ax5 ,ax6 ,ax7];\n",
        "\n",
        "\n",
        "\n",
        "        ax9.sharex = [ax1, ax5, ax13];\n",
        "\n",
        "\n",
        "        ax9.sharey = [ax10 ,ax11 ,ax12];\n",
        "\n",
        "\n",
        "\n",
        "        ax10.sharex = [ax2, ax6, ax14];\n",
        "\n",
        "\n",
        "        ax10.sharey = [ax9 ,ax11 ,ax12];\n",
        "\n",
        "\n",
        "\n",
        "        ax11.sharex = [ax3, ax7, ax15];\n",
        "\n",
        "\n",
        "        ax11.sharey = [ax9 ,ax10 ,ax12];\n",
        "\n",
        "\n",
        "\n",
        "        ax12.sharex = [ax4, ax8, ax16];\n",
        "\n",
        "\n",
        "        ax12.sharey = [ax9 ,ax10 ,ax11];\n",
        "\n",
        "\n",
        "\n",
        "        ax13.sharex = [ax1, ax5, ax9];\n",
        "\n",
        "\n",
        "        ax13.sharey = [ax14 ,ax15 ,ax16];\n",
        "\n",
        "\n",
        "\n",
        "        ax14.sharex = [ax2, ax6, ax10];\n",
        "\n",
        "\n",
        "        ax14.sharey = [ax13 ,ax15 ,ax16];\n",
        "\n",
        "\n",
        "\n",
        "        ax15.sharex = [ax3, ax7, ax11];\n",
        "\n",
        "\n",
        "        ax15.sharey = [ax13 ,ax14 ,ax16];\n",
        "\n",
        "\n",
        "\n",
        "        ax16.sharex = [ax4, ax8, ax12];\n",
        "\n",
        "\n",
        "        ax16.sharey = [ax13 ,ax14 ,ax15];\n",
        "\n",
        "\n",
        "\n",
        "      fig.draw();\n",
        "\n",
        "\n",
        "        fig.root.append(\"div\")\n",
        "          .append(\"button\")\n",
        "            .text(\"Reset\")\n",
        "            .on(\"click\", fig.reset.bind(fig));\n",
        "\n",
        "\n",
        "      return fig\n",
        "    }\n",
        "\n",
        "    // set a timeout of 0: this makes things work in the IPython notebook\n",
        "    setTimeout(function(){\n",
        "      // we need to call the function, making sure d3 is defined appropriately\n",
        "      if(typeof define === \"function\" && define.amd){\n",
        "        // If require.js is available, use it to load d3\n",
        "        require.config({paths: {d3: \"http://d3js.org/d3.v3.min\"}});\n",
        "        require([\"d3\"], create_figa470b298b67b466f8ed927d98d93d257);\n",
        "      }else if(typeof d3 === \"undefined\"){\n",
        "        // No require.js: dynamically load d3\n",
        "        var s = document.createElement('script');\n",
        "        s.src = \"http://d3js.org/d3.v3.min.js\";\n",
        "        s.async = true;\n",
        "        s.onreadystatechange = s.onload = s.onerror = function() {\n",
        "           if(typeof d3 === \"undefined\"){\n",
        "              document.getElementById(\"figurea470b298b67b466f8ed927d98d93d257\").innerHTML =\n",
        "                    \"<p style='color:red;'>(d3 failed to load)</p>\";\n",
        "           }else{\n",
        "              create_figa470b298b67b466f8ed927d98d93d257(d3);\n",
        "           }\n",
        "        };\n",
        "        document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
        "      }else{\n",
        "        // d3 is already globally loaded\n",
        "        create_figa470b298b67b466f8ed927d98d93d257(d3);\n",
        "      }\n",
        "    }, 0);\n",
        "\n",
        "    </script>\n",
        "\n",
        "\n",
        "\n"
       ],
       "metadata": {},
       "output_type": "display_data",
       "png": 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U6aNHWbN+PV6v94qPIRWLkUwkqDMYMJ3nqgzYbGSjUSKRCMGLSlFvF1KxGJ7LdDG1CAL5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2ezuN42aC7k93NyfBxN0971KbJcLvPcT39K5MgR1nd24vP5kBWF6Pw8r774Ivvvu48TR48yevYs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LT39dHb339Hz/eo8c4EQ0FyQo7ZuVlmQrPEojEcbgc7HtyOy+uiGCrS5Gxi7+Be9Ho9r1y8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\nCkEQBEEQlkwEFIIgCIIgLNn/Ax3mWHAzC7YgAAAAAElFTkSuQmCC\n",
       "text": [
        "<matplotlib.figure.Figure at 0x113e0cdd0>"
       ]
      }
     ],
     "prompt_number": 7
    },
    {
     "cell_type": "heading",
     "level": 2,
     "metadata": {},
     "source": [
      "Plotly"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "[Plotly](https://plot.ly/) is a web-based data analysis and plotting tool that has IPython integration and uses d3 for its visualizations."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import plotly\n",
      "py = plotly.plotly('IPython.Demo', '1fw3zw2o13')\n",
      "nr = np.random"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 5
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "distributions = [nr.uniform, nr.normal , lambda size: nr.normal(0, 0.2, size=size),\n",
      "                 lambda size: nr.beta(a=0.5, b=0.5, size=size),\n",
      "                 lambda size: nr.beta(a=0.5, b=2, size=size)]\n",
      "\n",
      "names = ['Uniform(0,1)', 'Normal(0,1)', 'Normal(0, 0.2)', 'beta(a=0.5, b=0.5)', 'beta(a=0.5, b=2)']\n",
      "\n",
      "boxes = [{'y': dist(size=50), 'type': 'box', 'boxpoints': 'all', 'jitter': 0.5, 'pointpos': -1.8,\n",
      "        'name': name} for dist, name in zip(distributions, names)]\n",
      "\n",
      "layout = {'title': 'A few distributions',\n",
      "          'showlegend': False,\n",
      "          'xaxis': {'ticks': '', 'showgrid': False, 'showline': False},\n",
      "          'yaxis': {'zeroline': False, 'ticks': '', 'showline': False},\n",
      "          }\n",
      "\n",
      "py.iplot(boxes, layout = layout, filename='Distributions', fileopt='overwrite', width=1000, height=650)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<iframe height=\"700\" id=\"igraph\" scrolling=\"no\" seamless=\"seamless\" src=\"https://plot.ly/~IPython.Demo/1101/1000/650\" width=\"1050\"></iframe>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 6,
       "text": [
        "<IPython.core.display.HTML at 0x113db7a50>"
       ]
      }
     ],
     "prompt_number": 6
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [],
     "language": "python",
     "metadata": {},
     "outputs": []
    }
   ],
   "metadata": {}
  }
 ]
}