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diff --git a/megapixels/notebooks/msc/test_plotly.ipynb b/megapixels/notebooks/msc/test_plotly.ipynb
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@@ -0,0 +1,1185 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Test Plotly"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Demo"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from plotly.offline import iplot, init_notebook_mode\n",
+    "import plotly.graph_objs as go\n",
+    "import plotly.io as pio\n",
+    "\n",
+    "import os\n",
+    "import numpy as np"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "        <script type=\"text/javascript\">\n",
+       "        window.PlotlyConfig = {MathJaxConfig: 'local'};\n",
+       "        if (window.MathJax) {MathJax.Hub.Config({SVG: {font: \"STIX-Web\"}});}\n",
+       "        if (typeof require !== 'undefined') {\n",
+       "        require.undef(\"plotly\");\n",
+       "        requirejs.config({\n",
+       "            paths: {\n",
+       "                'plotly': ['https://cdn.plot.ly/plotly-latest.min']\n",
+       "            }\n",
+       "        });\n",
+       "        require(['plotly'], function(Plotly) {\n",
+       "            window._Plotly = Plotly;\n",
+       "        });\n",
+       "        }\n",
+       "        </script>\n",
+       "        "
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "init_notebook_mode(connected=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
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+       "                        {},\n",
+       "                        {\"showLink\": false, \"linkText\": \"Export to plot.ly\", \"plotlyServerURL\": \"https://plot.ly\", \"responsive\": true}\n",
+       "                    ).then(function(){\n",
+       "                            \n",
+       "var gd = document.getElementById('3100d9be-f563-49b0-9aac-820b17e72a92');\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": [
+    "N = 100\n",
+    "x = np.random.rand(N)\n",
+    "y = np.random.rand(N)\n",
+    "colors = np.random.rand(N)\n",
+    "sz = np.random.rand(N)*30\n",
+    "\n",
+    "fig = go.Figure()\n",
+    "fig.add_scatter(x=x,\n",
+    "                y=y,\n",
+    "                mode='markers',\n",
+    "                marker={'size': sz,\n",
+    "                        'color': colors,\n",
+    "                        'opacity': 0.6,\n",
+    "                        'colorscale': 'Viridis'\n",
+    "                       });\n",
+    "iplot(fig)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "if not os.path.exists('images'):\n",
+    "    os.mkdir('images')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import psutil"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pio.write_image(fig, 'images/fig1.png')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Pie Chart"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.plotly.v1+json": {
+       "config": {
+        "linkText": "Export to plot.ly",
+        "plotlyServerURL": "https://plot.ly",
+        "showLink": false
+       },
+       "data": [
+        {
+         "mode": "markers",
+         "name": "2007",
+         "text": [
+          "Afghanistan",
+          "Albania",
+          "Algeria",
+          "Angola",
+          "Argentina",
+          "Australia",
+          "Austria",
+          "Bahrain",
+          "Bangladesh",
+          "Belgium",
+          "Benin",
+          "Bolivia",
+          "Bosnia and Herzegovina",
+          "Botswana",
+          "Brazil",
+          "Bulgaria",
+          "Burkina Faso",
+          "Burundi",
+          "Cambodia",
+          "Cameroon",
+          "Canada",
+          "Central African Republic",
+          "Chad",
+          "Chile",
+          "China",
+          "Colombia",
+          "Comoros",
+          "Congo, Dem. Rep.",
+          "Congo, Rep.",
+          "Costa Rica",
+          "Cote d'Ivoire",
+          "Croatia",
+          "Cuba",
+          "Czech Republic",
+          "Denmark",
+          "Djibouti",
+          "Dominican Republic",
+          "Ecuador",
+          "Egypt",
+          "El Salvador",
+          "Equatorial Guinea",
+          "Eritrea",
+          "Ethiopia",
+          "Finland",
+          "France",
+          "Gabon",
+          "Gambia",
+          "Germany",
+          "Ghana",
+          "Greece",
+          "Guatemala",
+          "Guinea",
+          "Guinea-Bissau",
+          "Haiti",
+          "Honduras",
+          "Hong Kong, China",
+          "Hungary",
+          "Iceland",
+          "India",
+          "Indonesia",
+          "Iran",
+          "Iraq",
+          "Ireland",
+          "Israel",
+          "Italy",
+          "Jamaica",
+          "Japan",
+          "Jordan",
+          "Kenya",
+          "Korea, Dem. Rep.",
+          "Korea, Rep.",
+          "Kuwait",
+          "Lebanon",
+          "Lesotho",
+          "Liberia",
+          "Libya",
+          "Madagascar",
+          "Malawi",
+          "Malaysia",
+          "Mali",
+          "Mauritania",
+          "Mauritius",
+          "Mexico",
+          "Mongolia",
+          "Montenegro",
+          "Morocco",
+          "Mozambique",
+          "Myanmar",
+          "Namibia",
+          "Nepal",
+          "Netherlands",
+          "New Zealand",
+          "Nicaragua",
+          "Niger",
+          "Nigeria",
+          "Norway",
+          "Oman",
+          "Pakistan",
+          "Panama",
+          "Paraguay",
+          "Peru",
+          "Philippines",
+          "Poland",
+          "Portugal",
+          "Puerto Rico",
+          "Reunion",
+          "Romania",
+          "Rwanda",
+          "Sao Tome and Principe",
+          "Saudi Arabia",
+          "Senegal",
+          "Serbia",
+          "Sierra Leone",
+          "Singapore",
+          "Slovak Republic",
+          "Slovenia",
+          "Somalia",
+          "South Africa",
+          "Spain",
+          "Sri Lanka",
+          "Sudan",
+          "Swaziland",
+          "Sweden",
+          "Switzerland",
+          "Syria",
+          "Taiwan",
+          "Tanzania",
+          "Thailand",
+          "Togo",
+          "Trinidad and Tobago",
+          "Tunisia",
+          "Turkey",
+          "Uganda",
+          "United Kingdom",
+          "United States",
+          "Uruguay",
+          "Venezuela",
+          "Vietnam",
+          "West Bank and Gaza",
+          "Yemen, Rep.",
+          "Zambia",
+          "Zimbabwe"
+         ],
+         "type": "scatter",
+         "uid": "869e7afa-226e-4a5a-9c86-17b8b0da2c40",
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+       "        </div>"
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+    "import plotly.plotly as py\n",
+    "import plotly.graph_objs as go\n",
+    "import pandas as pd\n",
+    "\n",
+    "df = pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/master/gapminder2007.csv')\n",
+    "\n",
+    "fig = {\n",
+    "    'data': [\n",
+    "          {\n",
+    "          'x': df.gdpPercap, \n",
+    "            'y': df.lifeExp, \n",
+    "            'text': df.country, \n",
+    "            'mode': 'markers', \n",
+    "            'name': '2007'},\n",
+    "    ],\n",
+    "    'layout': {\n",
+    "        'xaxis': {'title': 'GDP per Capita', 'type': 'log'},\n",
+    "        'yaxis': {'title': \"Life Expectancy\"}\n",
+    "    }\n",
+    "}\n",
+    "\n",
+    "iplot(fig, filename='pandas-multiple-scatter')"
+   ]
+  },
+  {
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+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [],
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+   ]
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