all_figures.ipynb

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       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>name</th>\n",
       "      <th>swa lab_diff</th>\n",
       "      <th>art lab_diff</th>\n",
       "      <th>nat lab_diff</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>PMcG_Vendetta</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>CP_LiquidCourage</td>\n",
       "      <td>5.856970</td>\n",
       "      <td>1.241058</td>\n",
       "      <td>8.069249</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Seph_AfterHours</td>\n",
       "      <td>9.758263</td>\n",
       "      <td>13.450380</td>\n",
       "      <td>3.864110</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Tarte_Sandals</td>\n",
       "      <td>7.474148</td>\n",
       "      <td>2.384674</td>\n",
       "      <td>6.108861</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>TF_Dominic</td>\n",
       "      <td>4.949486</td>\n",
       "      <td>12.338280</td>\n",
       "      <td>15.317171</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>KVD_Outlaw</td>\n",
       "      <td>17.503976</td>\n",
       "      <td>15.631720</td>\n",
       "      <td>12.792470</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Burb_MilitaryRed</td>\n",
       "      <td>9.783101</td>\n",
       "      <td>16.359385</td>\n",
       "      <td>15.076986</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>PMcG_Sedition</td>\n",
       "      <td>0.685070</td>\n",
       "      <td>1.311148</td>\n",
       "      <td>1.786325</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>MAC_SuchFlare</td>\n",
       "      <td>4.373606</td>\n",
       "      <td>16.572650</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>NYX_PerfectRed</td>\n",
       "      <td>21.576023</td>\n",
       "      <td>22.388236</td>\n",
       "      <td>18.915905</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>ABH_Primary3</td>\n",
       "      <td>5.290380</td>\n",
       "      <td>14.637522</td>\n",
       "      <td>11.733745</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>CP_Ambush</td>\n",
       "      <td>13.910082</td>\n",
       "      <td>5.556306</td>\n",
       "      <td>5.762476</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Fenty_Madamn</td>\n",
       "      <td>5.312606</td>\n",
       "      <td>11.176008</td>\n",
       "      <td>7.891975</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>NARS_Shirley</td>\n",
       "      <td>4.644215</td>\n",
       "      <td>1.680846</td>\n",
       "      <td>0.818376</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Chanel_RougeTent</td>\n",
       "      <td>14.100351</td>\n",
       "      <td>12.703389</td>\n",
       "      <td>11.683027</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>MAC_RetroRouge</td>\n",
       "      <td>6.899700</td>\n",
       "      <td>20.114313</td>\n",
       "      <td>17.814393</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>MAC_PerfectScore</td>\n",
       "      <td>6.090760</td>\n",
       "      <td>14.958823</td>\n",
       "      <td>17.111291</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>MAC_RussianRed</td>\n",
       "      <td>7.320525</td>\n",
       "      <td>15.307454</td>\n",
       "      <td>11.675270</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>NARS_RoughImprob</td>\n",
       "      <td>3.826183</td>\n",
       "      <td>13.105852</td>\n",
       "      <td>14.145291</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>HG_Innovator</td>\n",
       "      <td>5.875235</td>\n",
       "      <td>18.221524</td>\n",
       "      <td>19.193745</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>MAC_CharmedImSur</td>\n",
       "      <td>7.697938</td>\n",
       "      <td>23.160747</td>\n",
       "      <td>20.563775</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Chanel_no02</td>\n",
       "      <td>14.625895</td>\n",
       "      <td>10.962303</td>\n",
       "      <td>10.758509</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Tarte_MiamiVice</td>\n",
       "      <td>20.010138</td>\n",
       "      <td>16.718793</td>\n",
       "      <td>11.238712</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>HG_Secretly</td>\n",
       "      <td>8.371784</td>\n",
       "      <td>15.425383</td>\n",
       "      <td>11.845954</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>KVD_UnderageRed</td>\n",
       "      <td>13.687673</td>\n",
       "      <td>15.037354</td>\n",
       "      <td>9.555049</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>NARS_MysteriousR</td>\n",
       "      <td>21.613218</td>\n",
       "      <td>14.586150</td>\n",
       "      <td>11.496253</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>MAC_RunawayRed</td>\n",
       "      <td>5.205076</td>\n",
       "      <td>12.250935</td>\n",
       "      <td>14.834046</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>MAC_SelfEsteem</td>\n",
       "      <td>14.434321</td>\n",
       "      <td>9.983328</td>\n",
       "      <td>9.543188</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>UD_714</td>\n",
       "      <td>9.799478</td>\n",
       "      <td>18.918464</td>\n",
       "      <td>20.248389</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Chanel_Carmin</td>\n",
       "      <td>14.313802</td>\n",
       "      <td>18.595172</td>\n",
       "      <td>14.710621</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>MAC_Fireworks</td>\n",
       "      <td>13.433750</td>\n",
       "      <td>17.759523</td>\n",
       "      <td>18.460604</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>PMcG_Elson</td>\n",
       "      <td>10.545000</td>\n",
       "      <td>3.954195</td>\n",
       "      <td>10.997372</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>MJ_Goddess</td>\n",
       "      <td>12.184353</td>\n",
       "      <td>17.633638</td>\n",
       "      <td>11.222846</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>NARS_Cruella</td>\n",
       "      <td>24.103542</td>\n",
       "      <td>18.094628</td>\n",
       "      <td>18.041730</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>TF_Dylan</td>\n",
       "      <td>4.694324</td>\n",
       "      <td>16.813992</td>\n",
       "      <td>15.003145</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>MAC_Rocker</td>\n",
       "      <td>10.073273</td>\n",
       "      <td>6.963650</td>\n",
       "      <td>8.377788</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>MG_BeautyQueen</td>\n",
       "      <td>11.364476</td>\n",
       "      <td>16.287288</td>\n",
       "      <td>13.201047</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>MAC_FeelsSoGrand</td>\n",
       "      <td>11.176291</td>\n",
       "      <td>16.629996</td>\n",
       "      <td>17.723531</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>KVD_Thumbelina</td>\n",
       "      <td>14.163886</td>\n",
       "      <td>14.109324</td>\n",
       "      <td>8.809376</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>NARS_DontStop</td>\n",
       "      <td>14.987194</td>\n",
       "      <td>14.893876</td>\n",
       "      <td>14.829818</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>Fenty_Uncensored</td>\n",
       "      <td>9.209737</td>\n",
       "      <td>10.778571</td>\n",
       "      <td>11.374603</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>MUFE_C404</td>\n",
       "      <td>14.866102</td>\n",
       "      <td>18.471550</td>\n",
       "      <td>15.353510</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                name  swa lab_diff  art lab_diff  nat lab_diff\n",
       "0      PMcG_Vendetta      0.000000      0.000000      0.000000\n",
       "1   CP_LiquidCourage      5.856970      1.241058      8.069249\n",
       "2    Seph_AfterHours      9.758263     13.450380      3.864110\n",
       "3      Tarte_Sandals      7.474148      2.384674      6.108861\n",
       "4         TF_Dominic      4.949486     12.338280     15.317171\n",
       "5         KVD_Outlaw     17.503976     15.631720     12.792470\n",
       "6   Burb_MilitaryRed      9.783101     16.359385     15.076986\n",
       "7      PMcG_Sedition      0.685070      1.311148      1.786325\n",
       "8      MAC_SuchFlare      4.373606     16.572650      0.000000\n",
       "9     NYX_PerfectRed     21.576023     22.388236     18.915905\n",
       "10      ABH_Primary3      5.290380     14.637522     11.733745\n",
       "11         CP_Ambush     13.910082      5.556306      5.762476\n",
       "12      Fenty_Madamn      5.312606     11.176008      7.891975\n",
       "13      NARS_Shirley      4.644215      1.680846      0.818376\n",
       "14  Chanel_RougeTent     14.100351     12.703389     11.683027\n",
       "15    MAC_RetroRouge      6.899700     20.114313     17.814393\n",
       "16  MAC_PerfectScore      6.090760     14.958823     17.111291\n",
       "17    MAC_RussianRed      7.320525     15.307454     11.675270\n",
       "18  NARS_RoughImprob      3.826183     13.105852     14.145291\n",
       "19      HG_Innovator      5.875235     18.221524     19.193745\n",
       "20  MAC_CharmedImSur      7.697938     23.160747     20.563775\n",
       "21       Chanel_no02     14.625895     10.962303     10.758509\n",
       "22   Tarte_MiamiVice     20.010138     16.718793     11.238712\n",
       "23       HG_Secretly      8.371784     15.425383     11.845954\n",
       "24   KVD_UnderageRed     13.687673     15.037354      9.555049\n",
       "25  NARS_MysteriousR     21.613218     14.586150     11.496253\n",
       "26    MAC_RunawayRed      5.205076     12.250935     14.834046\n",
       "27    MAC_SelfEsteem     14.434321      9.983328      9.543188\n",
       "28            UD_714      9.799478     18.918464     20.248389\n",
       "29     Chanel_Carmin     14.313802     18.595172     14.710621\n",
       "30     MAC_Fireworks     13.433750     17.759523     18.460604\n",
       "31        PMcG_Elson     10.545000      3.954195     10.997372\n",
       "32        MJ_Goddess     12.184353     17.633638     11.222846\n",
       "33      NARS_Cruella     24.103542     18.094628     18.041730\n",
       "34          TF_Dylan      4.694324     16.813992     15.003145\n",
       "35        MAC_Rocker     10.073273      6.963650      8.377788\n",
       "36    MG_BeautyQueen     11.364476     16.287288     13.201047\n",
       "37  MAC_FeelsSoGrand     11.176291     16.629996     17.723531\n",
       "38    KVD_Thumbelina     14.163886     14.109324      8.809376\n",
       "39     NARS_DontStop     14.987194     14.893876     14.829818\n",
       "40  Fenty_Uncensored      9.209737     10.778571     11.374603\n",
       "41         MUFE_C404     14.866102     18.471550     15.353510"
      ]
     },
     "execution_count": 32,
     "metadata": {},
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    }
   ],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "\n",
    "sdat = pd.read_pickle('shades_PMcGVendetta.pkl')\n",
    "sdat[['name','swa lab_diff','art lab_diff','nat lab_diff']]"
   ]
  },
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       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from mpl_toolkits.mplot3d import axes3d\n",
    "import matplotlib.pyplot as py\n",
    "import mpld3\n",
    "\n",
    "%matplotlib notebook\n",
    "\n",
    "fig1 = py.figure()\n",
    "ax1 = fig1.add_subplot(121,projection='3d')\n",
    "\n",
    "ax1.scatter(sdat['swa r_rgb'],sdat['swa g_rgb'],sdat['swa b_rgb'])\n",
    "ax1.set_xlabel('Red')\n",
    "ax1.set_ylabel('Green')\n",
    "ax1.set_zlabel('Blue')\n",
    "\n",
    "#labels = ['point {0}'.format(i + 1) for i in range(42)]\n",
    "#tooltip = mpld3.plugins.PointLabelTooltip(scatter, labels=labels)#sdat['name'].values.tolist())\n",
    "#mpld3.plugins.connect(fig, tooltip)\n",
    "\n",
    "ax2 = fig1.add_subplot(122,projection='3d')\n",
    "ax2.scatter(sdat['swa a_lab'],sdat['swa b_lab'],sdat['swa l_lab'])\n",
    "ax2.set_xlabel('Lab a')\n",
    "ax2.set_ylabel('Lab b')\n",
    "ax2.set_zlabel('Lab L')\n",
    "py.show()\n",
    "\n",
    "# various shades represented in RGB space and CIE (International Commission on Illumination) Lab space"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<iframe id=\"igraph\" scrolling=\"no\" style=\"border:none;\" seamless=\"seamless\" src=\"https://plot.ly/~schappell02/2.embed\" height=\"525px\" width=\"700px\"></iframe>"
      ],
      "text/plain": [
       "<plotly.tools.PlotlyDisplay object>"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from plotly import tools\n",
    "import plotly.plotly as ply\n",
    "import plotly.graph_objs as go\n",
    "\n",
    "rgb_colors = sdat[['swa r_rgb','swa g_rgb','swa b_rgb']].values\n",
    "colors = ['rgb('+str(int(rgb_colors[i,0]))+','+str(int(rgb_colors[i,1]))+','+str(int(rgb_colors[i,2]))+')' for i in range(rgb_colors.shape[0])]\n",
    "\n",
    "trace1 = go.Scatter3d(x=sdat['swa a_lab'].values,y=sdat['swa b_lab'].values,z=sdat['swa l_lab'].values,mode='markers',\n",
    "                      text=sdat['name'].values,marker=dict(color=colors))\n",
    "\n",
    "layout1 = go.Layout(scene = dict(xaxis = dict(title='Lab a*'),yaxis = dict(title='Lab b*'),zaxis = dict(title='Lab L*'),),\n",
    "                    width=700,margin=dict(r=20, b=10,l=10, t=10))\n",
    "fig1 = go.Figure(data=[trace1],layout=layout1)\n",
    "\n",
    "ply.iplot(fig1,filename='LabColor_scatter')\n",
    "\n",
    "# Shades that are considered (according to Temptalia database) matches for Pat McGrath's Vendetta lipstick (and \n",
    "# including Pat McGrath's Vendetta lipstick) are shown in CIE  (International Commission on Illumination) Lab space.\n",
    "# The color of each point shows its corresponding perceived (by the human eye) color for reference.\n",
    "\n",
    "# CIE Lab (or Lab for short) space is designed to match the perceptual experience of the human eye.\n",
    "# Increasing and decreasing Lab 'a*' values demonstrate more magenta and green colors respectively, increasing and decreasing\n",
    "# Lab 'b*' values more yellow and blue colors respectively, and increasing and decreasing Lab 'L*' values demonstrate lighter\n",
    "# and darker shades (i.e. shades with more white and black) respectively.\n",
    "# CIE Lab space is also designed to be perceptually uniform in regards to human vision, distances of approximately \n",
    "# equal magnitude in Lab space correspond to approximately equal difference in color as perceived by the human eye, \n",
    "# unlike RGB color space.\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<iframe id=\"igraph\" scrolling=\"no\" style=\"border:none;\" seamless=\"seamless\" src=\"https://plot.ly/~schappell02/4.embed\" height=\"525px\" width=\"100%\"></iframe>"
      ],
      "text/plain": [
       "<plotly.tools.PlotlyDisplay object>"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "trace2 = go.Scatter(y=sdat['percent'].values,x=sdat['swa lab_diff'].values,mode='markers',text=sdat['name'].values,\n",
    "                   name='Arm Swatch')\n",
    "trace3 = go.Scatter(y=sdat['percent'].values,x=sdat['art lab_diff'].values,mode='markers',text=sdat['name'].values,\n",
    "                   name='Lip Swatch - Artificial Light')\n",
    "trace4 = go.Scatter(y=sdat['percent'].values,x=sdat['nat lab_diff'].values,mode='markers',text=sdat['name'].values,\n",
    "                   name='Lip Swatch - Natural Light')\n",
    "\n",
    "layout2= go.Layout(yaxis= dict(title= 'Percent Similar (Temptalia)'),xaxis=dict(title= 'CIE Lab Absolute Difference'))\n",
    "\n",
    "fig2 = go.Figure(data=[trace2,trace3,trace4],layout=layout2)\n",
    "\n",
    "ply.iplot(fig2,filename='percent_LabDiff_scatter')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<iframe id=\"igraph\" scrolling=\"no\" style=\"border:none;\" seamless=\"seamless\" src=\"https://plot.ly/~schappell02/6.embed\" height=\"525px\" width=\"700px\"></iframe>"
      ],
      "text/plain": [
       "<plotly.tools.PlotlyDisplay object>"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rgb_colors = sdat[['swa r_rgb','swa g_rgb','swa b_rgb']].values\n",
    "colors = ['rgb('+str(int(rgb_colors[i,0]))+','+str(int(rgb_colors[i,1]))+','+str(int(rgb_colors[i,2]))+')' for i in range(rgb_colors.shape[0])]\n",
    "\n",
    "trace5 = go.Scatter3d(x=sdat['swa r_rgb'].values,y=sdat['swa g_rgb'].values,z=sdat['swa b_rgb'].values,mode='markers',\n",
    "                      text=sdat['name'].values,marker=dict(color=colors))\n",
    "\n",
    "layout3 = go.Layout(scene = dict(xaxis = dict(title='Red'),yaxis = dict(title='Blue'),zaxis = dict(title='Green'),),\n",
    "                    width=700,margin=dict(r=20, b=10,l=10, t=10))\n",
    "fig3 = go.Figure(data=[trace5],layout=layout3)\n",
    "\n",
    "ply.iplot(fig3,filename='RGBColor_scatter')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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