annotated_heatmap.ipynb

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    "#### New to Plotly? \n",
    "Plotly's Python library is free and open source! [Get started](https://plot.ly/python/getting-started/) by downloading the client and [reading the primer](https://plot.ly/python/getting-started/).\n",
    "<br>You can set up Plotly to work in [online](https://plot.ly/python/getting-started/#initialization-for-online-plotting) or [offline](https://plot.ly/python/getting-started/#initialization-for-offline-plotting) mode, or in [jupyter notebooks](https://plot.ly/python/getting-started/#start-plotting-online).\n",
    "<br>We also have a quick-reference [cheatsheet](https://images.plot.ly/plotly-documentation/images/python_cheat_sheet.pdf) (new!) to help you get started!"
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   "source": [
    "#### Simple Annotated Heatmap"
   ]
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   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import os\n",
    "import plotly.graph_objs as gobar\n",
    "import plotly.io as pio\n",
    "import plotly.plotly as py\n",
    "import plotly.figure_factory as FF\n",
    "import dash\n",
    "import dash_core_components as dcc\n",
    "import dash_html_components as html\n",
    "from  plotly.offline import plot\n",
    "import plotly\n",
    "from IPython.display import SVG, display\n",
    "from IPython.display import Image\n",
    "from IPython.display import display, Math, Latex\n",
    "import colorlover as cl\n",
    "from IPython.display import HTML\n",
    "from IPython.display import IFrame\n",
    "from plotly.offline import iplot, init_notebook_mode\n",
    "from IPython.display import YouTubeVideo\n",
    "init_notebook_mode(connected=True)\n",
    "df = pd.read_csv('allMonthes.csv')"
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    "#### Defined Colorscale"
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       "                    window.PLOTLYENV.BASE_URL='https://plot.ly';\n",
       "                    \n",
       "                if (document.getElementById(\"b59c9af7-fa39-4825-8a3f-9ba8c4a6c427\")) {\n",
       "                    Plotly.newPlot(\n",
       "                        'b59c9af7-fa39-4825-8a3f-9ba8c4a6c427',\n",
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       "                        {\"annotations\": [{\"font\": {\"color\": \"#FFFFFF\"}, \"showarrow\": false, \"text\": \"0.1\", \"x\": 0, \"xref\": \"x\", \"y\": 0, \"yref\": \"y\"}, {\"font\": {\"color\": \"#FFFFFF\"}, \"showarrow\": false, \"text\": \"0.3\", \"x\": 1, \"xref\": \"x\", \"y\": 0, \"yref\": \"y\"}, {\"font\": {\"color\": \"#000000\"}, \"showarrow\": false, \"text\": \"0.5\", \"x\": 2, \"xref\": \"x\", \"y\": 0, \"yref\": \"y\"}, {\"font\": {\"color\": \"#000000\"}, \"showarrow\": false, \"text\": \"0.7\", \"x\": 3, \"xref\": \"x\", \"y\": 0, \"yref\": \"y\"}, {\"font\": {\"color\": \"#000000\"}, \"showarrow\": false, \"text\": \"1\", \"x\": 0, \"xref\": \"x\", \"y\": 1, \"yref\": \"y\"}, {\"font\": {\"color\": \"#000000\"}, \"showarrow\": false, \"text\": \"0.8\", \"x\": 1, \"xref\": \"x\", \"y\": 1, \"yref\": \"y\"}, {\"font\": {\"color\": \"#000000\"}, \"showarrow\": false, \"text\": \"0.6\", \"x\": 2, \"xref\": \"x\", \"y\": 1, \"yref\": \"y\"}, {\"font\": {\"color\": \"#FFFFFF\"}, \"showarrow\": false, \"text\": \"0.4\", \"x\": 3, \"xref\": \"x\", \"y\": 1, \"yref\": \"y\"}, {\"font\": {\"color\": \"#000000\"}, \"showarrow\": false, \"text\": \"0.6\", \"x\": 0, \"xref\": \"x\", \"y\": 2, \"yref\": \"y\"}, {\"font\": {\"color\": \"#FFFFFF\"}, \"showarrow\": false, \"text\": \"0.4\", \"x\": 1, \"xref\": \"x\", \"y\": 2, \"yref\": \"y\"}, {\"font\": {\"color\": \"#FFFFFF\"}, \"showarrow\": false, \"text\": \"0.2\", \"x\": 2, \"xref\": \"x\", \"y\": 2, \"yref\": \"y\"}, {\"font\": {\"color\": \"#FFFFFF\"}, \"showarrow\": false, \"text\": \"0.0\", \"x\": 3, \"xref\": \"x\", \"y\": 2, \"yref\": \"y\"}, {\"font\": {\"color\": \"#000000\"}, \"showarrow\": false, \"text\": \"0.9\", \"x\": 0, \"xref\": \"x\", \"y\": 3, \"yref\": \"y\"}, {\"font\": {\"color\": \"#000000\"}, \"showarrow\": false, \"text\": \"0.7\", \"x\": 1, \"xref\": \"x\", \"y\": 3, \"yref\": \"y\"}, {\"font\": {\"color\": \"#000000\"}, \"showarrow\": false, \"text\": \"0.5\", \"x\": 2, \"xref\": \"x\", \"y\": 3, \"yref\": \"y\"}, {\"font\": {\"color\": \"#FFFFFF\"}, \"showarrow\": false, \"text\": \"0.3\", \"x\": 3, \"xref\": \"x\", \"y\": 3, \"yref\": \"y\"}], \"xaxis\": {\"gridcolor\": \"rgb(0, 0, 0)\", \"showticklabels\": false, \"side\": \"top\", \"ticks\": \"\"}, \"yaxis\": {\"showticklabels\": false, \"ticks\": \"\", \"ticksuffix\": \"  \"}},\n",
       "                        {\"showLink\": false, \"linkText\": \"Export to plot.ly\", \"plotlyServerURL\": \"https://plot.ly\", \"responsive\": true}\n",
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       "                            \n",
       "var gd = document.getElementById('b59c9af7-fa39-4825-8a3f-9ba8c4a6c427');\n",
       "var x = new MutationObserver(function (mutations, observer) {{\n",
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       "            console.log([gd, 'removed!']);\n",
       "            Plotly.purge(gd);\n",
       "            observer.disconnect();\n",
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       "}});\n",
       "\n",
       "// Listen for the removal of the full notebook cells\n",
       "var notebookContainer = gd.closest('#notebook-container');\n",
       "if (notebookContainer) {{\n",
       "    x.observe(notebookContainer, {childList: true});\n",
       "}}\n",
       "\n",
       "// Listen for the clearing of the current output cell\n",
       "var outputEl = gd.closest('.output');\n",
       "if (outputEl) {{\n",
       "    x.observe(outputEl, {childList: true});\n",
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       "\n",
       "                        })\n",
       "                };\n",
       "                });\n",
       "            </script>\n",
       "        </div>"
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     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "z = [[.1, .3, .5, .7],  \n",
    "     [1, .8, .6, .4],\n",
    "     [.6, .4, .2, .0],  \n",
    "     [.9, .7, .5, .3]] \n",
    "\n",
    "fig = FF.create_annotated_heatmap(z, colorscale='Viridis')\n",
    "iplot(fig, filename='annotated_heatmap_color')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Custom Colorscale"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
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          "showarrow": false,
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          "showarrow": false,
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          "showarrow": false,
          "text": "0.4",
          "x": 3,
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          "y": 1,
          "yref": "y"
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          "font": {
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          "showarrow": false,
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          "showarrow": false,
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          "font": {
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          "x": 3,
          "xref": "x",
          "y": 3,
          "yref": "y"
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        "xaxis": {
         "gridcolor": "rgb(0, 0, 0)",
         "showticklabels": false,
         "side": "top",
         "ticks": ""
        },
        "yaxis": {
         "showticklabels": false,
         "ticks": "",
         "ticksuffix": "  "
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       "var notebookContainer = gd.closest('#notebook-container');\n",
       "if (notebookContainer) {{\n",
       "    x.observe(notebookContainer, {childList: true});\n",
       "}}\n",
       "\n",
       "// Listen for the clearing of the current output cell\n",
       "var outputEl = gd.closest('.output');\n",
       "if (outputEl) {{\n",
       "    x.observe(outputEl, {childList: true});\n",
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       "            </script>\n",
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     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "z = [[.1, .3, .5, .7],  \n",
    "     [1.0, .8, .6, .4],\n",
    "     [.6, .4, .2, 0.0],  \n",
    "     [.9, .7, .5, .3]] \n",
    "\n",
    "colorscale = [[0, '#66475e'], [1, '#ecbfe0']]\n",
    "font_colors = ['#efecee', '#3c3636']\n",
    "fig = FF.create_annotated_heatmap(z, colorscale=colorscale, font_colors=font_colors)\n",
    "iplot(fig, filename='annotated_heatmap_custom_color')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Custom Text and X & Y Labels \n",
    "set `annotation_text` to a matrix with the same dimmensions as `z`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
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     "data": {
      "application/vnd.plotly.v1+json": {
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        "linkText": "Export to plot.ly",
        "plotlyServerURL": "https://plot.ly",
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            "BRAVE 2-IN-1 UNIVERSAL MAGNETIC HOLDER                                                                        ",
            "BASEUS CAR WIRELESS CHARGER SMART VEHICLE BRACKET                                                             ",
            "BASEUS HOLDER RED-DOT MOBILE GAME SCORING TOOL BLACK                                                          ",
            "BASEUS HOLDER RED-DOT MOBILE GAME SCORING TOOL TRANSPARENT                                                    ",
            "BASEUS SMART 2 IN 1 WIRELESS CHARGER WHITE                                                                    ",
            "BASEUS GLASS FILM SET BLACK FOR IPHONE X                                                                      ",
            "BASEUS BULLET ON-BOARD CAR MAGNETIC BRACKET BLACK                                                             ",
            "BASEUS BULLET ON-BOARD CAR MAGNETIC BRACKET SILVER                                                            ",
            "BASEUS SMALL EARS VERTICAL MAGNETIC BRACKET BLACK                                                             ",
            "BASEUS CASE FOR AIRPODS BLACK                                                                                 ",
            "BASEUS DROP-PROOF CURVED FULL SCREEN TEMPERED GLASS BLACK FOR IPHONE X                                        ",
            "BASEUS GRENADE BLACK/ARMY GREEN GRIP FOR SMARTPHONES                                                          ",
            "BASEUS PROTECTIVE CASE/WIRELESS CHARGER BLACK FOR AIRPODS                                                     ",
            "BASEUS GRENADE BLACK GRIP FOR SMARTPHONES                                                                     ",
            "BASEUS WINNER COOLING HEAT SINK BLACK FOR SMARTPHONES                                                         ",
            "BASEUS SUSPENSION GLASS DESKTOP BRACKET SILVER FOR SMARTPHONES                                                ",
            "BASEUS SUSPENSION GLASS DESKTOP BRACKET BLACK FOR SMARTPHONES                                                 ",
            "BASEUS GOLDEN CUDGEL CAPACITIVE STYLUS BLACK                                                                  ",
            "BASEUS ORIGINAL LSR CASE BLACK FOR IPHONE XS                                                                  ",
            "BASEUS ORIGINAL LSR CASE LIGHT AQUA MARINE FOR IPHONE XS                                                      ",
            "BASEUS ORIGINAL LSR CASE PINK FOR IPHONE XS                                                                   ",
            "BASEUS ORIGINAL LSR CASE BLACK FOR IPHONE XS MAX                                                              ",
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            "BRAVE LOTTO SERIES MAGNETIC CAR MOUNTS                                                                        ",
            "BRAVE 2-IN-1 UNIVERSAL MAGNETIC HOLDER                                                                        ",
            "BASEUS SHOOTING GAME TOOL FOR PAD BLACK                                                                       ",
            "BASEUS SHOOTING GAME TOOL FOR PAD TRANSPARENT                                                                 ",
            "BASEUS 0.3MM FULL-SCREEN CURVED TEMPERED FILM BLACK FOR APPLE WATCH SERIES 4 40MM                             ",
            "BASEUS 0.3MM FULL-SCREEN CURVED TEMPERED FILM BLACK FOR APPLE WATCH SERIES 4 44MM                             "
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    "\n",
    "df = pd.read_csv('allMonthes.csv')\n",
    "newdf = df[df['Stock Status'] == 'Fast moving']\n",
    "newdf = newdf.loc[:,['Sku', 'UPC', 'Catalogue N', 'Title', 'Label', 'Arq COST', \"Cost Price\", 'V.S.P.']].reindex()\n",
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    "    header=dict(values=['Sku', 'UPC', 'Catalogue N', 'Title', 'Label', 'Arq COST', \"Cost Price\", 'V.S.P.']),\n",
    "    cells=dict(values=np.transpose(newdf.values[:,:])))\n",
    "\n",
    "data = [trace] \n",
    "iplot(data, filename = 'basic_table')"
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   "source": [
    "#### Annotated Heatmap with numpy"
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   "execution_count": 9,
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     "name": "stderr",
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     "text": [
      "c:\\program files\\python36\\lib\\site-packages\\plotly\\tools.py:1176: UserWarning:\n",
      "\n",
      "plotly.tools.FigureFactory.create_annotated_heatmap is deprecated. Use plotly.figure_factory.create_annotated_heatmap\n",
      "\n"
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       "                        {\"showLink\": false, \"linkText\": \"Export to plot.ly\", \"plotlyServerURL\": \"https://plot.ly\", \"responsive\": true}\n",
       "                    ).then(function(){\n",
       "                            \n",
       "var gd = document.getElementById('62dcef8f-8d8b-412e-b4f6-1bf9e2ffaa30');\n",
       "var x = new MutationObserver(function (mutations, observer) {{\n",
       "        var display = window.getComputedStyle(gd).display;\n",
       "        if (!display || display === 'none') {{\n",
       "            console.log([gd, 'removed!']);\n",
       "            Plotly.purge(gd);\n",
       "            observer.disconnect();\n",
       "        }}\n",
       "}});\n",
       "\n",
       "// Listen for the removal of the full notebook cells\n",
       "var notebookContainer = gd.closest('#notebook-container');\n",
       "if (notebookContainer) {{\n",
       "    x.observe(notebookContainer, {childList: true});\n",
       "}}\n",
       "\n",
       "// Listen for the clearing of the current output cell\n",
       "var outputEl = gd.closest('.output');\n",
       "if (outputEl) {{\n",
       "    x.observe(outputEl, {childList: true});\n",
       "}}\n",
       "\n",
       "                        })\n",
       "                };\n",
       "                });\n",
       "            </script>\n",
       "        </div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import plotly.plotly as py\n",
    "from plotly.tools import FigureFactory as FF\n",
    "import numpy as np\n",
    "\n",
    "z = np.random.randn(20, 20)\n",
    "z_text = np.around(z, decimals=2) # Only show rounded value (full value on hover)\n",
    "\n",
    "fig = FF.create_annotated_heatmap(z, annotation_text=z_text, colorscale='Greys', hoverinfo='z')\n",
    "\n",
    "# Make text size smaller\n",
    "for i in range(len(fig.layout.annotations)):\n",
    "    fig.layout.annotations[i].font.size = 8\n",
    "    \n",
    "iplot(fig, filename='annotated_heatmap_numpy')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Custom Hovertext"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "linkText": "Export to plot.ly",
        "plotlyServerURL": "https://plot.ly",
        "showLink": false
       },
       "data": [
        {
         "colorscale": [
          [
           0,
           "rgb(255,255,255)"
          ],
          [
           0.2,
           "rgb(255, 255, 153)"
          ],
          [
           0.4,
           "rgb(153, 255, 204)"
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          [
           0.6,
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          [
           0.8,
           "rgb(240, 179, 255)"
          ],
          [
           1,
           "rgb(255, 77, 148)"
          ]
         ],
         "hoverinfo": "text",
         "reversescale": false,
         "showscale": false,
         "text": [
          [
           "<br>Atomic Mass: 0.0",
           "<br>Atomic Mass: 0.0",
           "<br>Atomic Mass: 0.0",
           "<br>Atomic Mass: 0.0",
           "<br>Atomic Mass: 0.0",
           "<br>Atomic Mass: 0.0",
           "<br>Atomic Mass: 0.0",
           "<br>Atomic Mass: 0.0",
           "<br>Atomic Mass: 0.0",
           "<br>Atomic Mass: 0.0",
           "<br>Atomic Mass: 0.0",
           "<br>Atomic Mass: 0.0",
           "<br>Atomic Mass: 0.0",
           "<br>Atomic Mass: 0.0",
           "<br>Atomic Mass: 0.0",
           "<br>Atomic Mass: 0.0",
           "<br>Atomic Mass: 0.0",
           "<br>Atomic Mass: 0.0"
          ],
          [
           "<br>Atomic Mass: 0.0",
           "<br>Atomic Mass: 0.0",
           "<br>Atomic Mass: 0.0",
           "<br>Atomic Mass: 0.0",
           "<br>Atomic Mass: 0.0",
           "<br>Atomic Mass: 0.0",
           "<br>Atomic Mass: 0.0",
           "<br>Atomic Mass: 0.0",
           "<br>Atomic Mass: 0.0",
           "<br>Atomic Mass: 0.0",
           "<br>Atomic Mass: 0.0",
           "<br>Atomic Mass: 0.0",
           "<br>Atomic Mass: 0.0",
           "<br>Atomic Mass: 0.0",
           "<br>Atomic Mass: 0.0",
           "<br>Atomic Mass: 0.0",
           "<br>Atomic Mass: 0.0",
           "<br>Atomic Mass: 0.0"
          ],
          [
           "<br>Atomic Mass: 0.0",
           "<br>Atomic Mass: 0.0",
           "<br>Atomic Mass: 0.0",
           "<br>Atomic Mass: 0.0",
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           "Neptunium<br>Atomic Mass: 237",
           "Plutonium<br>Atomic Mass: 244",
           "Americium<br>Atomic Mass: 243",
           "Curium<br>Atomic Mass: 247",
           "Berkelium<br>Atomic Mass: 247",
           "Californium<br>Atomic Mass: 251",
           "Einsteinium<br>Atomic Mass: 252",
           "Fermium<br>Atomic Mass: 257",
           "Mendelevium<br>Atomic Mass: 258",
           "Nobelium<br>Atomic Mass: 259",
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           "<br>Atomic Mass: 0.0"
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           "<br>Atomic Mass: 0.0",
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           "Hassium<br>Atomic Mass: 270",
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           "<br>Atomic Mass: 0.0",
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           "Osmium<br>Atomic Mass: 190.23",
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           " Scandium<br>Atomic Mass: 44.955912",
           " Titanium<br>Atomic Mass: 47.867",
           " Vanadium<br>Atomic Mass: 50.9415",
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           "Germanium<br>Atomic Mass: 72.64",
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           "<br>Atomic Mass: 0.0",
           "<br>Atomic Mass: 0.0",
           "<br>Atomic Mass: 0.0",
           "<br>Atomic Mass: 0.0",
           "<br>Atomic Mass: 0.0",
           "<br>Atomic Mass: 0.0",
           "<br>Atomic Mass: 0.0",
           "<br>Atomic Mass: 0.0",
           "<br>Atomic Mass: 0.0",
           "<br>Atomic Mass: 0.0",
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           "<br>Atomic Mass: 0.0",
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\"xref\": \"x\", \"y\": 8, \"yref\": \"y\"}, {\"font\": {\"color\": \"black\"}, \"showarrow\": false, \"text\": \"Ni\", \"x\": 9, \"xref\": \"x\", \"y\": 8, \"yref\": \"y\"}, {\"font\": {\"color\": \"black\"}, \"showarrow\": false, \"text\": \"Cu\", \"x\": 10, \"xref\": \"x\", \"y\": 8, \"yref\": \"y\"}, {\"font\": {\"color\": \"black\"}, \"showarrow\": false, \"text\": \"Zn\", \"x\": 11, \"xref\": \"x\", \"y\": 8, \"yref\": \"y\"}, {\"font\": {\"color\": \"black\"}, \"showarrow\": false, \"text\": \"Ga\", \"x\": 12, \"xref\": \"x\", \"y\": 8, \"yref\": \"y\"}, {\"font\": {\"color\": \"black\"}, \"showarrow\": false, \"text\": \"Ge\", \"x\": 13, \"xref\": \"x\", \"y\": 8, \"yref\": \"y\"}, {\"font\": {\"color\": \"black\"}, \"showarrow\": false, \"text\": \"As\", \"x\": 14, \"xref\": \"x\", \"y\": 8, \"yref\": \"y\"}, {\"font\": {\"color\": \"black\"}, \"showarrow\": false, \"text\": \"Se\", \"x\": 15, \"xref\": \"x\", \"y\": 8, \"yref\": \"y\"}, {\"font\": {\"color\": \"black\"}, 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   "source": [
    "# Add Periodic Table Data\n",
    "symbol = [['H', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', 'He'],\n",
    "         ['Li', 'Be', '', '', '', '', '', '', '', '', '', '', 'B', 'C', 'N', 'O', 'F', 'Ne'],\n",
    "         ['Na', 'Mg', '', '', '', '', '', '', '', '', '', '', 'Al', 'Si', 'P', 'S', 'Cl', 'Ar'],\n",
    "         ['K', 'Ca', 'Sc', 'Ti', 'V', 'Cr', 'Mn', 'Fe', 'Co', 'Ni', 'Cu', 'Zn', 'Ga', 'Ge', 'As', 'Se', 'Br', 'Kr'],\n",
    "         ['Rb ', 'Sr', 'Y', 'Zr', 'Nb', 'Mo', 'Tc', 'Ru', 'Rh', 'Pd', 'Ag', 'Cd', 'In', 'Sn', 'Sb', 'Te', 'I', 'Xe' ],\n",
    "         ['Cs', 'Ba', '', 'Hf', 'Ta', 'W', 'Re', 'Os', 'Ir', 'Pt', 'Au', 'Hg', 'Tl', 'Pb', 'Bi', 'Po', 'At', 'Rn' ],\n",
    "         ['Fr', 'Ra', '', 'Rf', 'Db', 'Sg', 'Bh', 'Hs', 'Mt', 'Ds', 'Rg', 'Cn', 'Uut', 'Fl', 'Uup', 'Lv', 'Uus', 'Uuo'],\n",
    "         ['', '', 'La', 'Ce', 'Pr', 'Nd', 'Pm', 'Sm', 'Eu', 'Gd', 'Tb', 'Dy', 'Ho', 'Er', 'Tm', 'Yb', 'Lu', ''],\n",
    "         ['', '', 'Ac', 'Th', 'Pa', 'U', 'Np', 'Pu', 'Am', 'Cm', 'Bk', 'Cf', 'Es', 'Fm', 'Md', 'No', 'Lr', '' ],\n",
    "         ['', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', ''],\n",
    "         ['', 'Alkali Metal', '', '', 'Transition Metal', '', '', 'Actinide', '', '', 'Semimetal', '', '', 'Halogen', '', '', '', ''],\n",
    "         ['', 'Alkaline Metal', '', '', 'Lanthanide', '', '', 'Basic Metal', '', '', 'Nonmetal', '', '', 'Noble Gas', '', '', '', '']]\n",
    "\n",
    "element = [['Hydrogen', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', 'Helium'],\n",
    "           ['Lithium', 'Beryllium', '', '', '', '', '', '', '', '', '', '', 'Boron', 'Carbon', 'Nitrogen', 'Oxygen', 'Fluorine', 'Neon'],\n",
    "           ['Sodium', 'Magnesium', '', '', '', '', '', '', '', '', '', '', 'Aluminium', 'Silicon', 'Phosphorus', 'Sulfur', 'Chlorine', ' Argon'],\n",
    "           ['Potassium', ' Calcium', ' Scandium', ' Titanium', ' Vanadium', ' Chromium',  'Manganese', 'Iron', 'Cobalt', 'Nickel', 'Copper', 'Zinc', 'Gallium', 'Germanium', 'Arsenic', 'Selenium', 'Bromine', 'Krypton'],\n",
    "           ['Rubidium', 'Strontium', 'Yttrium', 'Zirconium', 'Niobium', 'Molybdenum', 'Technetium', 'Ruthenium', 'Rhodium', 'Palladium', 'Silver', 'Cadmium', 'Indium', 'Tin', 'Antimony', 'Tellurium', 'Iodine', 'Xenon'],\n",
    "           [' Cesium', ' Barium', '',  'Hafnium', 'Tantalum', 'Tungsten', 'Rhenium', 'Osmium', 'Iridium', 'Platinum', 'Gold', 'Mercury', 'Thallium', 'Lead', 'Bismuth', 'Polonium', 'Astatine', 'Radon'],\n",
    "           [' Francium', ' Radium', '', 'Rutherfordium','Dubnium','Seaborgium','Bohrium','Hassium','Meitnerium','Darmstadtium','Roentgenium','Copernicium','Ununtrium','Ununquadium','Ununpentium','Ununhexium','Ununseptium','Ununoctium'],\n",
    "           ['', '',  'Lanthanum', 'Cerium', 'Praseodymium', 'Neodymium', 'Promethium', 'Samarium', 'Europium', 'Gadolinium', 'Terbium', 'Dysprosium', 'Holmium', 'Erbium', 'Thulium', 'Ytterbium', 'Lutetium', ''],\n",
    "           ['', '', 'Actinium', 'Thorium', 'Protactinium', 'Uranium', 'Neptunium', 'Plutonium', 'Americium', 'Curium', 'Berkelium', 'Californium', 'Einsteinium','Fermium' ,'Mendelevium', 'Nobelium', 'Lawrencium', '' ],\n",
    "           ['', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', ''],\n",
    "           ['', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', ''],\n",
    "           ['', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '']]\n",
    "\n",
    "atomic_mass = [[ 1.00794, .0, .0, .0, .0, .0, .0, .0, .0, .0, .0, .0, .0, .0, .0, .0, .0,  4.002602],\n",
    "     [ 6.941, 9.012182, .0, .0, .0, .0, .0, .0, .0, .0, .0, .0,  10.811, 12.0107, 14.0067, 15.9994, 18.9984032, 20.1797],\n",
    "     [ 22.98976928, 24.3050, .0, .0, .0, .0, .0, .0, .0, .0, .0, .0,  26.9815386, 28.0855, 30.973762, 32.065, 35.453, 39.948], \n",
    "     [ 39.0983, 40.078, 44.955912, 47.867, 50.9415, 51.9961, 54.938045, 55.845, 58.933195, 58.6934, 63.546, 65.38, 69.723, 72.64, 74.92160, 78.96, 79.904, 83.798],\n",
    "     [ 85.4678, 87.62, 88.90585, 91.224, 92.90638, 95.96, 98, 101.07, 102.90550, 106.42, 107.8682, 112.411, 114.818, 118.710, 121.760, 127.60, 126.90447, 131.293],\n",
    "     [ 132.9054519, 137.327, .0, 178.49, 180.94788, 183.84, 186.207, 190.23, 192.217, 195.084, 196.966569, 200.59, 204.3833, 207.2, 208.98040, 209, 210, 222],\n",
    "     [223, 226, .0, 267, 268, 271, 272, 270, 276, 281, 280, 285, 284, 289, 288, 293, 'unknown', 294],\n",
    "     [.0, .0, 138.90547, 140.116, 140.90765, 144.242, 145, 150.36, 151.964, 157.25, 158.92535, 162.500, 164.93032, 167.259, 168.93421, 173.054, 174.9668, .0],\n",
    "     [.0, .0, 227, 232.03806, 231.03588, 238.02891, 237, 244, 243, 247, 247, 251, 252, 257, 258, 259, 262, .0],\n",
    "     [.0, .0, .0, .0, .0, .0, .0, .0, .0, .0, .0, .0, .0, .0, .0, .0, .0, .0],\n",
    "     [.0, .0, .0, .0, .0, .0, .0, .0, .0, .0, .0, .0, .0, .0, .0, .0, .0, .0],\n",
    "     [.0, .0, .0, .0, .0, .0, .0, .0, .0, .0, .0, .0, .0, .0, .0, .0, .0, .0]]\n",
    "\n",
    "z = [[.8, .0, .0, .0, .0, .0, .0, .0, .0, .0, .0, .0, .0, .0, .0, .0, .0, 1.],\n",
    "     [.1, .2, .0, .0, .0, .0, .0, .0, .0, .0, .0, .0, .7, .8, .8, .8, .9, 1.],\n",
    "     [.1, .2, .0, .0, .0, .0, .0, .0, .0, .0, .0, .0, .6, .7, .8, .8, .9, 1], \n",
    "     [.1, .2, .3, .3, .3, .3, .3, .3, .3, .3, .3, .3, .6, .7, .8, .8, .9, 1.],\n",
    "     [.1, .2, .3, .3, .3, .3, .3, .3, .3, .3, .3, .3, .6, .6, .7, .7, .9, 1.],\n",
    "     [.1, .2, .4, .3, .3, .3, .3, .3, .3, .3, .3, .3, .6, .6, .6, .7, .9, 1.],\n",
    "     [.1, .2, .5, .3, .3, .3, .3, .3, .3, .3, .3, .3, .6, .6, .6, .6, .9, 1.],\n",
    "     [.0, .0, .4, .4, .4, .4, .4, .4, .4, .4, .4, .4, .4, .4, .4, .4, .4, .0],\n",
    "     [.0, .0, .5, .5, .5, .5, .5, .5, .5, .5, .5, .5, .5, .5, .5, .5, .5, .0],\n",
    "     [.0, .0, .0, .0, .0, .0, .0, .0, .0, .0, .0, .0, .0, .0, .0, .0, .0, .0],\n",
    "     [.1, .1, .1, .3, .3, .3, .5, .5, .5, .7, .7, .7, .9, .9, .9, .0, .0, .0],\n",
    "     [.2, .2, .2, .4, .4, .4, .6, .6, .6, .8, .8, .8, 1., 1., 1., .0, .0, .0]]\n",
    "\n",
    "# Display element name and atomic mass on hover\n",
    "hover=list(range(len(symbol)))\n",
    "for x in range(len(symbol)):\n",
    "    hover[x] = [i + '<br>' + 'Atomic Mass: ' + str(j) for i, j in zip(element[x], atomic_mass[x])]\n",
    "\n",
    "# Invert Matrices\n",
    "symbol = symbol[::-1]\n",
    "hover = hover[::-1]\n",
    "z = z[::-1]\n",
    "\n",
    "# Set Colorscale\n",
    "colorscale=[[0.0, 'rgb(255,255,255)'], [.2, 'rgb(255, 255, 153)'], \n",
    "            [.4, 'rgb(153, 255, 204)'], [.6, 'rgb(179, 217, 255)'], \n",
    "            [.8, 'rgb(240, 179, 255)'],[1.0, 'rgb(255, 77, 148)']]\n",
    "\n",
    "# Make Annotated Heatmap\n",
    "pt = FF.create_annotated_heatmap(z, annotation_text=symbol, text=hover,\n",
    "                                 colorscale=colorscale, font_colors=['black'], hoverinfo='text')\n",
    "pt.layout.title = 'Periodic Table'\n",
    "\n",
    "iplot(pt, filename='periodic_table')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Reference\n",
    "For more info on Plotly heatmaps, see: https://plot.ly/python/reference/#heatmap.<br> For more info on using colorscales with Plotly see: https://plot.ly/python/heatmap-and-contour-colorscales/ <br>For more info on annotated_heatmaps, see:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Help on function create_annotated_heatmap in module plotly.tools:\n",
      "\n",
      "create_annotated_heatmap(*args, **kwargs)\n",
      "\n"
     ]
    }
   ],
   "source": [
    "help(FF.create_annotated_heatmap)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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