Anscombe & Nightingale Code

gistfile1.txt

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  {
   "cells": [
    {
     "cell_type": "heading",
     "level": 2,
     "metadata": {},
     "source": [
      "Anscombe's & Nightingale"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import plotly  \n",
      "plotly.__version__"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 3,
       "text": [
        "'1.4.7'"
       ]
      }
     ],
     "prompt_number": 3
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import plotly.plotly as py\n",
      "from plotly.graph_objs import *\n",
      "import plotly.tools as tls"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 4
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import pandas as pd\n",
      "import matplotlib.pyplot as plt"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 5
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "fig = plt.figure()\n",
      "\n",
      "from __future__ import print_function\n",
      "\"\"\"\n",
      "Edward Tufte uses this example from Anscombe to show 4 datasets of x\n",
      "and y that have the same mean, standard deviation, and regression\n",
      "line, but which are qualitatively different.\n",
      "\n",
      "matplotlib fun for a rainy day\n",
      "\"\"\"\n",
      "\n",
      "from pylab import *\n",
      "\n",
      "x =  array([10, 8, 13, 9, 11, 14, 6, 4, 12, 7, 5])\n",
      "y1 = array([8.04, 6.95, 7.58, 8.81, 8.33, 9.96, 7.24, 4.26, 10.84, 4.82, 5.68])\n",
      "y2 = array([9.14, 8.14, 8.74, 8.77, 9.26, 8.10, 6.13, 3.10, 9.13, 7.26, 4.74])\n",
      "y3 = array([7.46, 6.77, 12.74, 7.11, 7.81, 8.84, 6.08, 5.39, 8.15, 6.42, 5.73])\n",
      "x4 = array([8,8,8,8,8,8,8,19,8,8,8])\n",
      "y4 = array([6.58,5.76,7.71,8.84,8.47,7.04,5.25,12.50,5.56,7.91,6.89])\n",
      "\n",
      "def fit(x):\n",
      "    return 3+0.5*x\n",
      "\n",
      "\n",
      "\n",
      "xfit = array( [amin(x), amax(x) ] )\n",
      "\n",
      "subplot(221)\n",
      "plot(x,y1,'ks', xfit, fit(xfit), 'r-', lw=2)\n",
      "axis([2,20,2,14])\n",
      "setp(gca(), xticklabels=[], yticks=(4,8,12), xticks=(0,10,20))\n",
      "text(3,12, 'I', fontsize=20)\n",
      "\n",
      "subplot(222)\n",
      "plot(x,y2,'ks', xfit, fit(xfit), 'r-', lw=2)\n",
      "axis([2,20,2,14])\n",
      "setp(gca(), xticklabels=[], yticks=(4,8,12), yticklabels=[], xticks=(0,10,20))\n",
      "text(3,12, 'II', fontsize=20)\n",
      "\n",
      "subplot(223)\n",
      "plot(x,y3,'ks', xfit, fit(xfit), 'r-', lw=2)\n",
      "axis([2,20,2,14])\n",
      "text(3,12, 'III', fontsize=20)\n",
      "setp(gca(), yticks=(4,8,12), xticks=(0,10,20))\n",
      "\n",
      "subplot(224)\n",
      "\n",
      "xfit = array([amin(x4),amax(x4)])\n",
      "plot(x4,y4,'ks', xfit, fit(xfit), 'r-', lw=2)\n",
      "axis([2,20,2,14])\n",
      "setp(gca(), yticklabels=[], yticks=(4,8,12), xticks=(0,10,20))\n",
      "text(3,12, 'IV', fontsize=20)\n",
      "\n",
      "#verify the stats\n",
      "pairs = (x,y1), (x,y2), (x,y3), (x4,y4)\n",
      "for x,y in pairs:\n",
      "    print ('mean=%1.2f, std=%1.2f, r=%1.2f'%(mean(y), std(y), corrcoef(x,y)[0][1]))\n",
      "\n",
      "py.iplot_mpl(fig, strip_style = True)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "mean=7.50, std=1.94, r=0.82\n",
        "mean=7.50, std=1.94, r=0.82\n",
        "mean=7.50, std=1.94, r=0.82\n",
        "mean=7.50, std=1.94, r=0.82\n"
       ]
      },
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       "metadata": {},
       "output_type": "pyout",
       "png": 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N1qLbGQ/Ci/A6PFXNhozwKtAjvAp4fZX2I7oV6rXPZhFeC+pmfSK8ZujL77ga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\nwxsrzqQ3xh7epCdUYHxJ2cOL8FZ+8bClofKM09g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font-size: 12px; fill: #444444;\"><tspan class=\"js-link-to-tool\"></tspan><tspan class=\"js-link-spacer\"></tspan><tspan class=\"js-sourcelinks\"></tspan></text></svg>"
       ],
       "text": [
        "<plotly.tools.PlotlyDisplay at 0x114e16190>"
       ]
      }
     ],
     "prompt_number": 5
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "trace1 = Area(\n",
      "    r=[1, 12, 11, 359, 828, 788, 503, 844, 1725, 2761, 2120, 1205],\n",
      "    t=['April', 'May', 'June', 'July', 'August', 'September', 'October', 'November', 'December', 'January', 'February', 'March'],\n",
      "    name='Zymotic disease',\n",
      "    marker=Marker(\n",
      "        color='rgb(106,81,163)'\n",
      "    )\n",
      ")\n",
      "trace2 = Area(\n",
      "    r=[0, 0, 0, 0, 1, 81, 132, 287, 114, 83, 42, 32],\n",
      "    t=['April', 'May', 'June', 'July', 'August', 'September', 'October', 'November', 'December', 'January', 'February', 'March'],\n",
      "    name='Wounds & injuries',\n",
      "    marker=Marker(\n",
      "        color='rgb(158,154,200)'\n",
      "    )\n",
      ")\n",
      "trace3 = Area(\n",
      "    r=[5, 9, 6, 23, 30, 70, 128, 106, 131, 324, 361, 172],\n",
      "    t=['April', 'May', 'June', 'July', 'August', 'September', 'October', 'November', 'December', 'January', 'February', 'March'],\n",
      "    name='All other causes',\n",
      "    marker=Marker(\n",
      "        color='rgb(203,201,226)'\n",
      "    )\n",
      ")\n",
      "data = Data([trace1, trace2, trace3])\n",
      "layout = Layout(\n",
      "    title='Mortality April 1855 to March 1856',\n",
      "    font=Font(\n",
      "        size=16\n",
      "    ),\n",
      "    legend=Legend(\n",
      "        font=Font(\n",
      "            size=16\n",
      "        )\n",
      "    ),\n",
      "    radialaxis=RadialAxis(\n",
      "    ),\n",
      "    orientation=270\n",
      ")\n",
      "fig = Figure(data=data, layout=layout)\n",
      "py.iplot(fig, filename='polar-area-chart')"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
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A0FUUzrYrD94WTJSB7JEo7Wa6tAjFltKf6+Bj7dAQR7qoEpxtbbUTjm9fGD75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\n6np+is7Jym6ruz5vbxXddD2jodDuIqubwws0mWO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5JqeiigDzfRfhv44sPF974q1Px/pd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\nFvY7mfWLvS5NPkurstNYXcVza3kJAW7t87Jl44D+S8gK9COR3A+jG1p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       "metadata": {},
       "output_type": "pyout",
       "png": 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//npq3LixrH/58uW0du1auZrTvHlz2rhxo2wPrM2zZs2iPXv2yOvVq1ePbr75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\nm3lucFlWwCkFGHidUjrKdezIrIaHIy4rsi5FhQs7ZIDV8d4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f4caQmhag+VO2aVZlZItH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\ntFDFypUruTXauBq5PNyGgFBejUL+RH39Iz/zhFZ4Z2bUe4FFN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stroke: #c0c0c0;\"></circle><circle class=\"grid-circle\" r=\"0\" style=\"fill: none; stroke: #c0c0c0;\"></circle><circle class=\"grid-circle\" r=\"38.02969938428106\" style=\"fill: none; stroke: #c0c0c0;\"></circle><circle class=\"grid-circle\" r=\"76.05939876856212\" style=\"fill: none; stroke: #c0c0c0;\"></circle><circle class=\"grid-circle\" r=\"114.08909815284316\" style=\"fill: none; stroke: #c0c0c0;\"></circle><circle class=\"grid-circle\" r=\"152.11879753712424\" style=\"fill: none; stroke: #c0c0c0;\"></circle><circle class=\"grid-circle\" r=\"190.14849692140527\" style=\"fill: none; stroke: #c0c0c0;\"></circle><g class=\"tick\" transform=\"translate(0,0)\" style=\"opacity: 1;\"><line y2=\"5\" x2=\"0\" style=\"stroke: #000000;\"></line><text y=\"0\" x=\"0\" dy=\"0\" dx=\"0\" transform=\"rotate(45) translate(0,16)\" style=\"text-anchor: start; font-size: 16px; font-family: Tahoma, sans-serif; fill: #808080; text-shadow: white -1px 0px 0px, white 1px -1px 0px, white -1px 1px 0px, white 1px 1px 0px;\">0</text></g><g class=\"tick\" transform=\"translate(38.02969938428106,0)\" style=\"opacity: 1;\"><line y2=\"5\" x2=\"0\" style=\"stroke: #000000;\"></line><text y=\"0\" x=\"0\" dy=\"0\" dx=\"0\" transform=\"rotate(45) translate(0,16)\" style=\"text-anchor: start; font-size: 16px; font-family: Tahoma, sans-serif; fill: #808080; text-shadow: white -1px 0px 0px, white 1px -1px 0px, white -1px 1px 0px, white 1px 1px 0px;\">500</text></g><g class=\"tick\" transform=\"translate(76.05939876856212,0)\" style=\"opacity: 1;\"><line y2=\"5\" x2=\"0\" style=\"stroke: #000000;\"></line><text y=\"0\" x=\"0\" dy=\"0\" dx=\"0\" transform=\"rotate(45) translate(0,16)\" style=\"text-anchor: start; font-size: 16px; font-family: Tahoma, sans-serif; fill: #808080; text-shadow: white -1px 0px 0px, white 1px -1px 0px, white -1px 1px 0px, white 1px 1px 0px;\">1,000</text></g><g class=\"tick\" transform=\"translate(114.08909815284316,0)\" style=\"opacity: 1;\"><line y2=\"5\" x2=\"0\" style=\"stroke: #000000;\"></line><text y=\"0\" x=\"0\" dy=\"0\" dx=\"0\" transform=\"rotate(45) translate(0,16)\" style=\"text-anchor: start; font-size: 16px; font-family: Tahoma, sans-serif; fill: #808080; text-shadow: white -1px 0px 0px, white 1px -1px 0px, white -1px 1px 0px, white 1px 1px 0px;\">1,500</text></g><g class=\"tick\" transform=\"translate(152.11879753712424,0)\" style=\"opacity: 1;\"><line y2=\"5\" x2=\"0\" style=\"stroke: #000000;\"></line><text y=\"0\" x=\"0\" dy=\"0\" dx=\"0\" transform=\"rotate(45) translate(0,16)\" style=\"text-anchor: start; font-size: 16px; font-family: Tahoma, sans-serif; fill: #808080; text-shadow: white -1px 0px 0px, white 1px -1px 0px, white -1px 1px 0px, white 1px 1px 0px;\">2,000</text></g><g class=\"tick\" transform=\"translate(190.14849692140527,0)\" style=\"opacity: 1;\"><line y2=\"5\" x2=\"0\" style=\"stroke: #000000;\"></line><text y=\"0\" x=\"0\" dy=\"0\" dx=\"0\" transform=\"rotate(45) translate(0,16)\" style=\"text-anchor: start; font-size: 16px; font-family: Tahoma, sans-serif; fill: #808080; text-shadow: white -1px 0px 0px, white 1px -1px 0px, white -1px 1px 0px, white 1px 1px 0px;\">2,500</text></g><path class=\"domain\" d=\"M0,5V0H210V5\" style=\"fill: none; stroke: #c0c0c0;\"></path></g><g class=\"angular axis-group\" style=\"pointer-events: none;\"><g class=\"angular-tick\" transform=\"rotate(270)\" style=\"display: block;\"><line class=\"grid-line major\" x1=\"0\" x2=\"210\" style=\"fill: none; stroke: #c0c0c0; display: block;\"></line><text class=\"axis-text\" x=\"220\" dy=\".35em\" transform=\"rotate(-270 220 0)\" style=\"font-size: 16px; font-family: Tahoma, sans-serif; fill: #808080; text-shadow: white -1px 0px 0px, white 1px -1px 0px, white -1px 1px 0px, white 1px 1px 0px; text-anchor: middle; display: block;\">April</text></g><g class=\"angular-tick\" transform=\"rotate(360)\" style=\"display: block;\"><line class=\"grid-line major\" x1=\"0\" x2=\"210\" style=\"fill: none; stroke: #c0c0c0; display: block;\"></line><text class=\"axis-text\" x=\"220\" dy=\".35em\" transform=\"rotate(-360 220 0)\" style=\"font-size: 16px; font-family: Tahoma, sans-serif; fill: #808080; text-shadow: white -1px 0px 0px, white 1px -1px 0px, white -1px 1px 0px, white 1px 1px 0px; text-anchor: middle; display: block;\">July</text></g><g class=\"angular-tick\" transform=\"rotate(450)\" style=\"display: block;\"><line class=\"grid-line major\" x1=\"0\" x2=\"210\" style=\"fill: none; stroke: #c0c0c0; display: block;\"></line><text class=\"axis-text\" x=\"220\" dy=\".35em\" transform=\"rotate(-450 220 0)\" style=\"font-size: 16px; font-family: Tahoma, sans-serif; fill: #808080; text-shadow: white -1px 0px 0px, white 1px -1px 0px, white -1px 1px 0px, white 1px 1px 0px; text-anchor: middle; display: block;\">October</text></g><g class=\"angular-tick\" transform=\"rotate(540)\" style=\"display: block;\"><line class=\"grid-line major\" x1=\"0\" x2=\"210\" style=\"fill: none; stroke: #c0c0c0; display: block;\"></line><text class=\"axis-text\" x=\"220\" dy=\".35em\" transform=\"rotate(-540 220 0)\" style=\"font-size: 16px; font-family: Tahoma, sans-serif; fill: #808080; text-shadow: white -1px 0px 0px, white 1px -1px 0px, white -1px 1px 0px, white 1px 1px 0px; text-anchor: middle; display: block;\">January</text></g></g><g class=\"guides-group\" style=\"pointer-events: none;\"><line></line><circle r=\"0\" style=\"stroke: #808080; fill: none;\"></circle></g></g><g class=\"legend-group\" transform=\"translate(535,40)\" style=\"display: block;\"><svg width=\"300\" height=\"48\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\" version=\"1.1\"><g class=\"legend-axis\" transform=\"translate(12,6)\"><g class=\"tick\" transform=\"translate(0,0)\" style=\"opacity: 1;\"><line x2=\"6\" y2=\"0\" style=\"fill: none; stroke: none;\"></line><text x=\"9\" y=\"0\" dy=\".32em\" style=\"text-anchor: start; fill: #808080; font-size: 12px;\">All other causes</text></g><g class=\"tick\" transform=\"translate(0,18)\" style=\"opacity: 1;\"><line x2=\"6\" y2=\"0\" style=\"fill: none; stroke: none;\"></line><text x=\"9\" y=\"0\" dy=\".32em\" style=\"text-anchor: start; fill: #808080; font-size: 12px;\">Wounds &amp; injuries</text></g><g class=\"tick\" transform=\"translate(0,36)\" style=\"opacity: 1;\"><line x2=\"6\" y2=\"0\" style=\"fill: none; stroke: none;\"></line><text x=\"9\" y=\"0\" dy=\".32em\" style=\"text-anchor: start; fill: #808080; font-size: 12px;\">Zymotic disease</text></g><path class=\"domain\" d=\"M6,0H0V36H6\" style=\"fill: none; stroke: none;\"></path></g><g class=\"legend-marks\"><path class=\"legend-mark\" transform=\"translate(6,6)\" d=\"M-3,-3L3,-3 3,3 -3,3Z\" fill=\"rgb(203,201,226)\"></path><path class=\"legend-mark\" transform=\"translate(6,24)\" d=\"M-3,-3L3,-3 3,3 -3,3Z\" fill=\"rgb(158,154,200)\"></path><path class=\"legend-mark\" transform=\"translate(6,42)\" d=\"M-3,-3L3,-3 3,3 -3,3Z\" fill=\"rgb(106,81,163)\"></path></g></svg></g><g class=\"tooltips-group\"><g class=\"tooltip-97\" style=\"pointer-events: none; display: none;\"><path d=\"M0 0\" style=\"fill: #ffffff; fill-opacity: 0.9;\"></path><text dx=\"15\" dy=\"2.4\"></text></g><g class=\"tooltip-98\" style=\"pointer-events: none; display: none;\"><path d=\"M0 0\" style=\"fill: #ffffff; fill-opacity: 0.9;\"></path><text dx=\"15\" dy=\"2.4\"></text></g><g class=\"tooltip-99\" style=\"pointer-events: none; display: none;\"><path d=\"M0 0\" style=\"fill: #ffffff; fill-opacity: 0.9;\"></path><text dx=\"15\" dy=\"3.5999999999999996\"></text></g></g><g class=\"title-group\"><text x=\"129\" y=\"20\" style=\"font-size: 16px; font-family: Tahoma, sans-serif; fill: #808080; text-shadow: white -1px 0px 0px, white 1px -1px 0px, white -1px 1px 0px, white 1px 1px 0px; visibility: visible;\">Mortality April 1855 to March 1856</text></g></g><text class=\"js-plot-link-container\" text-anchor=\"end\" x=\"693\" y=\"491\" style=\"font-family: 'Open Sans', Arial, sans-serif; font-size: 12px; fill: #444444;\"><tspan class=\"js-link-to-tool\"></tspan><tspan class=\"js-link-spacer\"></tspan><tspan class=\"js-sourcelinks\"></tspan></text></svg>"
       ],
       "text": [
        "<plotly.tools.PlotlyDisplay at 0x111caaf50>"
       ]
      }
     ],
     "prompt_number": 10
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from IPython.display import display, HTML\n",
      "import urllib2\n",
      "url = 'https://raw.githubusercontent.com/plotly/python-user-guide/master/custom.css'\n",
      "display(HTML(urllib2.urlopen(url).read()))"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<style>\n",
        "    div.cell{\n",
        "        width: 850px;\n",
        "        margin-left: 10% !important;\n",
        "        margin-right: auto;\n",
        "    }\n",
        "    h1 {\n",
        "        font-family: \"Open sans\",verdana,arial,sans-serif;\n",
        "    }\n",
        "    .text_cell_render h1 {\n",
        "        font-weight: 200;\n",
        "        font-size: 40pt;\n",
        "        line-height: 100%;\n",
        "        color:#447adb;\n",
        "        margin-bottom: 0em;\n",
        "        margin-top: 0em;\n",
        "        display: block;\n",
        "        white-space: nowrap;\n",
        "    } \n",
        "    h2 {\n",
        "        font-family: \"Open sans\",verdana,arial,sans-serif;\n",
        "        text-indent:1em;\n",
        "    }\n",
        "    .text_cell_render h2 {\n",
        "        font-weight: 200;\n",
        "        font-size: 20pt;\n",
        "        font-style: italic;\n",
        "        line-height: 100%;\n",
        "        color:#447adb;\n",
        "        margin-bottom: 1.5em;\n",
        "        margin-top: 0.5em;\n",
        "        display: block;\n",
        "        white-space: nowrap;\n",
        "    } \n",
        "    h3 {\n",
        "        font-family: \"Open sans\",verdana,arial,sans-serif;\n",
        "    }\n",
        "    .text_cell_render h3 {\n",
        "        font-weight: 300;\n",
        "        font-size: 18pt;\n",
        "        line-height: 100%;\n",
        "        color:#447adb;\n",
        "        margin-bottom: 0.5em;\n",
        "        margin-top: 2em;\n",
        "        display: block;\n",
        "        white-space: nowrap;\n",
        "    }\n",
        "    h4 {\n",
        "        font-family: \"Open sans\",verdana,arial,sans-serif;\n",
        "    }\n",
        "    .text_cell_render h4 {\n",
        "        font-weight: 300;\n",
        "        font-size: 16pt;\n",
        "        color:#447adb;\n",
        "        margin-bottom: 0.5em;\n",
        "        margin-top: 0.5em;\n",
        "        display: block;\n",
        "        white-space: nowrap;\n",
        "    }\n",
        "    h5 {\n",
        "        font-family: \"Open sans\",verdana,arial,sans-serif;\n",
        "    }\n",
        "    .text_cell_render h5 {\n",
        "        font-weight: 300;\n",
        "        font-style: normal;\n",
        "        color: #1d3b84;\n",
        "        font-size: 16pt;\n",
        "        margin-bottom: 0em;\n",
        "        margin-top: 1.5em;\n",
        "        display: block;\n",
        "        white-space: nowrap;\n",
        "    }\n",
        "    div.text_cell_render{\n",
        "        font-family: \"Open sans\",verdana,arial,sans-serif;\n",
        "        line-height: 135%;\n",
        "        font-size: 125%;\n",
        "        width:750px;\n",
        "        margin-left:auto;\n",
        "        margin-right:auto;\n",
        "        text-align:justify;\n",
        "        text-justify:inter-word;\n",
        "    }\n",
        "    div.output_subarea.output_text.output_pyout {\n",
        "        overflow-x: auto;\n",
        "        overflow-y: scroll;\n",
        "        max-height: 300px;\n",
        "    }\n",
        "    div.output_subarea.output_stream.output_stdout.output_text {\n",
        "        overflow-x: auto;\n",
        "        overflow-y: scroll;\n",
        "        max-height: 300px;\n",
        "    }\n",
        "    div.output_subarea.output_html.rendered_html {\n",
        "        overflow-x: scroll;\n",
        "        max-width: 100%;\n",
        "      /*  overflow-y: scroll; */\n",
        "      /*  max-height: 300px;   */\n",
        "    }\n",
        "    code{\n",
        "      font-size: 78%;\n",
        "    }\n",
        "    .rendered_html code{\n",
        "        background-color: transparent;\n",
        "        white-space: inherit;   \n",
        "    }\n",
        "    ul{\n",
        "        /* color:#447adb; */  \n",
        "        margin: 2em;\n",
        "    }\n",
        "    ul li{\n",
        "        padding-left: 0.5em; \n",
        "        margin-bottom: 0.5em; \n",
        "        margin-top: 0.5em; \n",
        "    }\n",
        "    ul li li{\n",
        "        padding-left: 0.2em; \n",
        "        margin-bottom: 0.2em; \n",
        "        margin-top: 0.2em; \n",
        "    }\n",
        "    ol{\n",
        "        /* color:#447adb; */  \n",
        "        margin: 2em;\n",
        "    }\n",
        "    ol li{\n",
        "        padding-left: 0.5em; \n",
        "        margin-bottom: 0.5em; \n",
        "        margin-top: 0.5em; \n",
        "    }\n",
        "    /*.prompt{\n",
        "        display: None;\n",
        "    } */\n",
        "    ul li{\n",
        "        padding-left: 0.5em; \n",
        "        margin-bottom: 0.5em; \n",
        "        margin-top: 0.2em; \n",
        "    }\n",
        "    a:link{\n",
        "       font-weight: bold;\n",
        "       color:#447adb;\n",
        "    }\n",
        "    a:visited{\n",
        "       font-weight: bold;\n",
        "       color: #1d3b84;\n",
        "    }\n",
        "    a:hover{\n",
        "       font-weight: bold;\n",
        "       color: #1d3b84;\n",
        "    }\n",
        "    a:focus{\n",
        "       font-weight: bold;\n",
        "       color:#447adb;\n",
        "    }\n",
        "    a:active{\n",
        "       font-weight: bold;\n",
        "       color:#447adb;\n",
        "    }\n",
        "    .rendered_html :link {\n",
        "       text-decoration: none; \n",
        "    }\n",
        "    .rendered_html :hover {\n",
        "       text-decoration: none; \n",
        "    }\n",
        "    .rendered_html :visited {\n",
        "      text-decoration: none;\n",
        "    }\n",
        "    .rendered_html :focus {\n",
        "      text-decoration: none;\n",
        "    }\n",
        "    .rendered_html :active {\n",
        "      text-decoration: none;\n",
        "    }\n",
        "    .warning{\n",
        "        color: rgb( 240, 20, 20 )\n",
        "    } \n",
        "    hr {\n",
        "      color: #f3f3f3;\n",
        "      background-color: #f3f3f3;\n",
        "      height: 1px;\n",
        "    }\n",
        "    blockquote{\n",
        "      display:block;\n",
        "      background: #f3f3f3;\n",
        "      font-family: \"Open sans\",verdana,arial,sans-serif;\n",
        "      width:610px;\n",
        "      padding: 15px 15px 15px 15px;\n",
        "      text-align:justify;\n",
        "      text-justify:inter-word;\n",
        "      }\n",
        "      blockquote p {\n",
        "        margin-bottom: 0;\n",
        "        line-height: 125%;\n",
        "        font-size: 100%;\n",
        "        text-align: center;\n",
        "      }\n",
        "   /* element.style {\n",
        "    } */  \n",
        "</style>\n",
        "<script>\n",
        "    MathJax.Hub.Config({\n",
        "                        TeX: {\n",
        "                           extensions: [\"AMSmath.js\"]\n",
        "                           },\n",
        "                tex2jax: {\n",
        "                    inlineMath: [ [\"$\",\"$\"], [\"\\\\(\",\"\\\\)\"] ],\n",
        "                    displayMath: [ [\"$$\",\"$$\"], [\"\\\\[\",\"\\\\]\"] ]\n",
        "                },\n",
        "                displayAlign: \"center\", // Change this to \"center\" to center equations.\n",
        "                \"HTML-CSS\": {\n",
        "                    styles: {\".MathJax_Display\": {\"margin\": 4}}\n",
        "                }\n",
        "        });\n",
        "</script>\n"
       ],
       "metadata": {},
       "output_type": "display_data",
       "text": [
        "<IPython.core.display.HTML at 0x111d3e990>"
       ]
      }
     ],
     "prompt_number": 11
    }
   ],
   "metadata": {}
  }
 ]
}