garaud/pandas-plotting-with-highcharts.ipynb

## pandas-plotting-with-highcharts.ipynb
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 "worksheets": [
  {
   "cells": [
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "# Pandas DataFrame plotting with Highcharts"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "[pandas_highcharts](https://github.com/gtnx/pandas-highcharts) is a Python library to turn your pandas DataFrame into a suited JSON for [Highcharts](http://www.highcharts.com/), a Javascript library for interactive charts.\n",
      "\n",
      "Before introducing Highcharts, I build an arbitrary `DataFrame` with a timeseries (a Brownian motion), plot it with matplotlib, then seaborn and Highcharts."
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "## Import"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import string"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 3
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import numpy as np\n",
      "import pandas as pd"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 4
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "print pd.__version__"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "0.15.1.dev\n"
       ]
      }
     ],
     "prompt_number": 5
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "## Build a DataFrame with a timeseries"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# Dimensions\n",
      "nb_rand_var = 8\n",
      "nb_dates = 220\n",
      "np.random.seed(4321)\n",
      "# Random choice letters\n",
      "pickme = lambda x: np.random.choice(26, x, replace=False)\n",
      "labels = np.array(list(string.ascii_uppercase))[pickme(nb_rand_var)]"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 6
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "labels"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 7,
       "text": [
        "array(['P', 'W', 'Z', 'E', 'K', 'U', 'O', 'M'], \n",
        "      dtype='|S1')"
       ]
      }
     ],
     "prompt_number": 7
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# Timeseries\n",
      "ts = pd.date_range(\"2015-03-23\", periods=nb_dates, freq=\"B\")\n",
      "ts"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 8,
       "text": [
        "<class 'pandas.tseries.index.DatetimeIndex'>\n",
        "[2015-03-23, ..., 2016-01-22]\n",
        "Length: 220, Freq: B, Timezone: None"
       ]
      }
     ],
     "prompt_number": 8
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# A Brownian Motion\n",
      "noise = np.random.randn(nb_dates, nb_rand_var)\n",
      "df = pd.DataFrame(noise.cumsum(axis=0),\n",
      "                  index=ts,\n",
      "                  columns=labels)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 9
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "df.head()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>P</th>\n",
        "      <th>W</th>\n",
        "      <th>Z</th>\n",
        "      <th>E</th>\n",
        "      <th>K</th>\n",
        "      <th>U</th>\n",
        "      <th>O</th>\n",
        "      <th>M</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>2015-03-23</th>\n",
        "      <td>-0.418212</td>\n",
        "      <td>-0.917607</td>\n",
        "      <td>-0.187494</td>\n",
        "      <td>-0.633002</td>\n",
        "      <td> 0.687064</td>\n",
        "      <td> 0.086552</td>\n",
        "      <td>-0.509790</td>\n",
        "      <td>-1.630820</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2015-03-24</th>\n",
        "      <td>-0.804698</td>\n",
        "      <td>-1.634806</td>\n",
        "      <td>-0.515568</td>\n",
        "      <td>-0.875124</td>\n",
        "      <td> 1.083955</td>\n",
        "      <td>-0.944506</td>\n",
        "      <td>-0.088891</td>\n",
        "      <td>-2.439104</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2015-03-25</th>\n",
        "      <td>-1.246270</td>\n",
        "      <td>-0.882964</td>\n",
        "      <td> 1.016304</td>\n",
        "      <td>-1.381058</td>\n",
        "      <td> 1.300831</td>\n",
        "      <td>-0.932484</td>\n",
        "      <td>-1.466252</td>\n",
        "      <td>-1.004706</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2015-03-26</th>\n",
        "      <td>-2.353867</td>\n",
        "      <td>-0.721007</td>\n",
        "      <td> 2.028381</td>\n",
        "      <td>-0.977233</td>\n",
        "      <td>-0.696400</td>\n",
        "      <td>-1.889799</td>\n",
        "      <td>-1.523532</td>\n",
        "      <td>-2.083549</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2015-03-27</th>\n",
        "      <td>-4.305895</td>\n",
        "      <td>-1.439609</td>\n",
        "      <td> 0.561285</td>\n",
        "      <td>-0.661809</td>\n",
        "      <td> 0.100659</td>\n",
        "      <td>-3.491839</td>\n",
        "      <td>-1.962939</td>\n",
        "      <td>-2.552511</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 10,
       "text": [
        "                   P         W         Z         E         K         U  \\\n",
        "2015-03-23 -0.418212 -0.917607 -0.187494 -0.633002  0.687064  0.086552   \n",
        "2015-03-24 -0.804698 -1.634806 -0.515568 -0.875124  1.083955 -0.944506   \n",
        "2015-03-25 -1.246270 -0.882964  1.016304 -1.381058  1.300831 -0.932484   \n",
        "2015-03-26 -2.353867 -0.721007  2.028381 -0.977233 -0.696400 -1.889799   \n",
        "2015-03-27 -4.305895 -1.439609  0.561285 -0.661809  0.100659 -3.491839   \n",
        "\n",
        "                   O         M  \n",
        "2015-03-23 -0.509790 -1.630820  \n",
        "2015-03-24 -0.088891 -2.439104  \n",
        "2015-03-25 -1.466252 -1.004706  \n",
        "2015-03-26 -1.523532 -2.083549  \n",
        "2015-03-27 -1.962939 -2.552511  "
       ]
      }
     ],
     "prompt_number": 10
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "## Plotting with matplotlib"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import matplotlib.pyplot as plt\n",
      "plt.style.use(\"ggplot\") # only for matplotlib >= 1.4"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 9
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "df.plot()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 10,
       "text": [
        "<matplotlib.axes._subplots.AxesSubplot at 0x877a4d0>"
       ]
      },
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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fhRcqP/9j5Li53oBy7/+CTofZv55Q5nSEK62/tT0pwh4FGSOQHjfK936BMHVd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\nz8fy5cuZPmUKSZ++w9akEUy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wBXfzcbli3AWYk/UErMMIz1iEanbgW/ke7sGjAGiKSqcu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\n6K/9Mk1SRAAAAABJRU5ErkJggg==\n",
       "text": [
        "<matplotlib.figure.Figure at 0x8751f50>"
       ]
      }
     ],
     "prompt_number": 10
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Even if the figure is nicer than the matplotlib default style, I think it's to small, and legends don't fit when the number of variables is higher than 5 or 6."
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "## Plotting with seaborn"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Just a try with [seaborn](http://stanford.edu/~mwaskom/software/seaborn/introduction.html)."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import seaborn as sns"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 11
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "with sns.axes_style(\"darkgrid\"):\n",
      "    df.plot()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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KJf9y5Nc8e+4l/lj9Z56/91fDniuGtQVBmFKxiJ+gtxWNIR+lKomUvBvRmUpJ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6+5DaUoUl/q4HiXh7EhNZ9c9bHZ417sfBOfYYx1NWlsWJJNIilRkW0k5nKhSj27/ODpOOaSiW09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\ntMicPrqdowtHWCxGzKEfwMn2/hHnPxtvIMjPTtSTqtdyX24iL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YNCLnCkspv6DhuRRjUR\nBjUymcDGRen8++dmcc/1OUzPHjlkYkFRHHKZwJu76mi1Olg1K4nblmV9og0zSGH5q90wgxRNXFQU\nj1ol5/51+eckg3u0sptvPrWX/eUd477uUGhyVVPXcKOfGKMnI8FESY01PM52LK4K9+W1HTWj9tsB\nyOUCgcC5P+jn5sdy56rsCV/n9/s5cGAfCxYsPuf3+LShkstI0Wtosrt5sryJ7jMe+FMjDdydJY2+\n9AaCtDrcJOrUzIg2kWfWo5bLEJD0vSv6HbxZ38nalBgMyit3C+7p6GNLizUs2HJfTiL5EXoOdQ3g\n9Eu94XWDLga8/mFFcMd6pDDmTWmxxGpV3JeTyGt1nRRFGsLtb1kmHR939lM74CT7AuaCj0eSxcCd\nK7N5aVsVL22r4su3jpQ23FXSyhu76nB5Atyx4tM9LEOnUfL1Oy/PBDGtWkFhehQnQgIWQ1XAQ2Ql\nmclKGr1dxqRTMSMnhqOV3STG6Llz5cTPoWtcXG5fkcXGxekjZk6PR3VLP3/8ezn+QJBnN53EoFUy\ndZSRnj5/gOLQ6MuOHic+fzC88ZIJAl++dQo/fOEIr2yv4Z51hWO+3yd7q3YF8Xo9PPjgZ3n44fuI\nj0/kxhtvvtJL+kSQZdIhAt1uH/NjzdyWHkuqXkNpnz2sXd7scBMQIcMoSeRpFfJw7vu2jDhiNSqK\newb5xYlGSnpGKhBdDvZ09LG52YpeIQ+LxuzpkNphSvsGMSjkfHNqGhq5TPKeQxbcEwhS3mcnUq0g\nLdSWZlAq+HxeEvNjTz+M041SlKF28NKOd1w5K4mcZDNHK7s5FnognMnxkPE4dLLzvOeTX2N0zqxY\nPtdWovUL0shONvPozUVj6khf49IhE4RxDbPd5WPb4eZwxKnV6uA3r58gGBS5bZk0dOapt0rD9QZn\nUlrXi9sbQCYIBIIibdbhkqVRJg1fuXUqE2UqrwrP+c5V2WN6uZdK41elUodzztc4zVyLGavby5wY\nM9lmySPMi9DzVHkzW1p6SNCpaQqFctONI8dt6hRyvlKUyuHuAba29vBOQzfZJt1l86B9wSBbWySV\nNZNSwcP5SURrVPypsoVam4u9nX04/UEWxkYQrVExM9rE/q5+Tg04KIo0UNFnxxsUWRJtGrcOQC2X\nkarX0Gh34/IH0F6i6laZIHD/2ny+9+wh/rKtivy0yPCYO5fHT1Wz1FNpHXBT3z4YllAMBkV2lrQy\nM8fyqQhVXglm5lh4QagkKIpkJJzbEJCMBBP/73OzL9HKrnGh/P3jej482sLHpe3cuTKb/3u3HIfb\nz4Pr8lk6PZGkGD1PvlnKk2+W8t375wybOnXopDSFcfHUePacaKe5y058lI6fv3qMlFgj967OITvZ\nzI8fnj/uGq55ztc4J8wqBXdnJYQNM4BRqeDe7ATkgsArtR2U90l5ltGMM0hTsRbGRbA6KRpPMMhH\nbZdHTMPq9vJkeTN7O/uJVit5KGSYARaG9NC3tEie5tBI0bkWyZgd6pKqK4dC2jPHGTk6xFCUodZ2\nadvJEmP0bFiYRt+ghzfPqN6uaOglEBRJj5fWOvTQACiu6uYvW6t4+t3yax71eWLQKinKiEKpkJEe\nf3WIcFxjYkRRpKTGioAkDPOLV0sYdPq474Y8loYkSGfmWrhjZRZ9gx6eerMUX6hmxeMLUFJjJTZS\ny9Jp0mubu+yU1fdQ22pj57FWnnqzjKOVXWw51DzuOq4Z5zH4JFRHX02kGDTcnGbBFQjS4fISp1Wh\nm8BbnGcxE6VWcqi7/5KoalUPOHi5ph27zy9JONZ20O32siDWzONFqcN61vMi9ESoFIhAlFpJcki9\nLT6kqlZjc/JWQye1NhepBk3YqI/HUK651nZpQ9sAGxamEx+lY0dxC7Wt0kZiKKR993U56NQKDp3s\nDBfiDdVwnGrqD4vyX+PceejGAr57/5yL3opzjStHa7cD64CbuQWx3LIkA41KzoPr81kxc3gL2dp5\nqSwsiqO2zcYHB6V51cWV3Xh9QeYVxIVnZLd02ymukhTJki0GSmqsPPVWGTtDswjG4ppxHoOtW3dd\n6SVcdcy2mFkQyruO5TWfiUImsCYpmoAIL1S38nFH30UT7hBFkc3NVsr67Pylup3d7X20Oj3MiDJy\nU1rsiL5yuSAwzyKtfXq0cdjmbJ7FjIg04UuvkLMmaXIiEcl6DSqZQN0lzjuDpED0wLp8ROD5D07h\ncPsore3BqFOSnWxmdp6FfruX6uZ+PL4Ax2utmA0q5DKBV3dUXxuicZ4YdaqwdO01Ph0cq5EM6Yyc\nGG5aksGTX18W9oLPRBAE/umGPLRqOR8da8UfCIbFZZZMjUerVhAboaWpc5ATtVYijWq+e/9s1s1P\n5cZF6XznvjnjruOqyDlf4+phQ4qFeK2a/ElM5gKYEmVgts3EMauN95utbG62kmnSsjIhiswLqHJu\nsLvpcHlRygSaHG6aHG50ChnrU0e2tgyxOD4CrULGjOjhIcrpUUYcvgAxWiW5Jj3ySbZeyGUCyXoN\ndYOuS5p3HiI3JYLlMxLZVdLGP//m/7N33+FxlVfix793epVGvRdLsiz3hruNjanGFVMCBCcY2IRs\nyobNZvPbDQkpJsTZDaSQJZDQIaHZYGwDxtjY4N4td0tW732KZjSacn9/jDS2ULEkq9rv53l4Hnvm\nauYgS3Pu287Zhc8vM3tcbODoyLjA+te6L/K45bokmj1+br4uDr9f5uP9RXx6sJils1P7NT5BGA6O\n5VSjVEjBndhdNUrRaVTMHhfHtsMlbDlQxLniBrKSLUSHBT67kqJNHG7ZqDlzTKCy2t3d3J0vRs5C\nn1IqJKZHh3a7yIhCkrhzRAz/b9IIliZHkWTUccHm4o3cctxfKRN6tsHB4eqLlXUqnG7O1HdcPGBf\nZWAj1AMZccFd1YuTorrceKZWKJgRbUH71VG1QmJeXBijLaZuJ+ZWrY1GihsHpjLa/TeN5M75aUS3\nNJNvLR05KjmMqaOiyC2x8sbW8wBcNyqaJbNTMWhVbD1YLEbPwjWv3u4mv9xOZpKl2w18bmiZ7m7d\n73H9Ja0xW6vWAUzO7Hxg0BExchaGBJNaxawYC7NiLGwrrWVbWR2Hqq3Maakj7vb5eTuvkmafnxSz\nnnCtmjdyy6lze/jB2GRiDRd3S9qavZxqcBCj15ARYiDFpKfK1UyiqfvtPPtKa3IucjSReZmqan1B\nrVKyeFYqt89MweX2YrjkA+b+mzI5lV+HrbGZ6DA9yTGBynM3TElg895Cdp8oZ+GUxH6PURCGquMt\nvZ0ndVA8pjPxkUZGp4RxprAeg1bVplpfa3I2aFU97ogmRs7CkDMjOhSVJLGnsiFYnetwjQ23z48M\n7K1s4ExDI3XuwCayXRVtd3vvrWzAL8PM6FAkSUKjVAxKYgZIMgZGsANdU1ySpDaJGQK1z++cHyhE\nMn10THBd/abrklApFXyyvwifv31TE0G4VhzLubje3BM3tjT8mTUuts259dS4EFRKiamjonrcaUyM\nnIUhx6RWMSXSzIFqG6frHYwNM7GnsgGVJKFXKThcYwuepQ5RqzhWZ+fmxAhCNWryGhr5sqKeULWq\n3drxYDCqlURo1RQ3NuGX5S7XrwbCwikJxEcY2lSvCjVqmDshjh1HS3nrs1ymZEaSmWxB2Q81wQVh\nqAq0kKwnMcpIlOXyG1ovNXlkJP/+tYmMTGg7Og4za/n1wzPanIPuLvHbJwxJc2LCkICPWzaJ1bk9\nTIowMyfGQrNfptTpZlSogZsSwvHLsKuigUaPjxePFSADd6XFtFs7HizJJh1NPj/VTb3vJdxXJEli\ndGp4u6pUt01PwqBVse1ICf/z1jH+ukGcfxauLacK6vD6/D0eNUPg92rciAi0mvabPmPCDR0+fjlD\n49NrCPrTn37PO+/8M/j3f//377F27Zrg3//852d4++03ByO0a0KUXsOC+HBszV52t2zumh1j4bqo\nUNQtm7LmxoYxKcKMWa1kd2UDTx7Lo8rpZm5sGOn9VM+6N5JaN4UN4XaZ0WEGnvr2TL63cjzp8SEc\nPld92eL+gnA1CU5pZwyNDm8iOXdiwoRJnDyZDYDf78dqtVJQcLH60qlTJxg/fmCK7F+rbk6I4LHx\nKcyICmVhfDixBi0GlZJFSZHMjA4lzaxHpVCwIjWaLIuRzFADN6ZGcXPC0Oji1SrZeHFT2FBmNmiY\nkhnFt5eNRatR8ubWHOrtHXe7EoSrid8vB8/+p/awFGt/Ecm5E+PGTQgm5/z8PNLS0tHrjdjtdpqb\nmykoyCczc2D7O1+LInQalqdGt+kKNTPawrKU6OCGptEWE98YGc+DmQncOyYJ1RBbK40xaFuKkbiG\nxVRxpEXP1xZm4HJ7+dO6bGzOwZ+OF4T+dKHMit3pYVJG5KDvC2k1LDaErc/dxNGqEx0+p1RI7XoJ\nd8fk6PGszFjS6fORkVEolSoqKys4eTKbsWPHU1NTzcmT2RiNRtLTM1CphsW3TxhkSklitMXE8To7\nBY6mYLeuoWz+xHjyy2x8mV3OU28c4Udfm0hkaP/GvSu7nK2Hilk2J5Wpo6L79b0E4VIn8gKlbjvq\nvz1YhtYQY4gZPz4wej55Mptx4yYwduz4lr+fYMKESYMdnjCMtDbQOFhlvcyVQ4MkSTy4KIvbZ6ZQ\nWefkH1tz+vX9zhTW8+onZymucvCX90/yf++fwOMVx7qEgVFWEyixOyJ2aExpwzAZOa/MWNLpKLe/\nWkYCjB8/kRMnjnPhQi7p6RlER8fw1ltvYDSaWLx4Wb+8p5D9OlMAACAASURBVHB1GmHWE6FVc7Le\nwRKv77JNQfqb2+fn/YJKJkWYybJ0XBtakiTuWpDOobNVnC9u6LejYNUNLp774CQADy8ezc5jZRw6\nV82E9ErmTojr8/cThK+qrHei1SgJMV6+oc1AESPnLowbN4Hdu3cRGhooZhESEoLdbufUqWzGj58w\n2OEJw4gkSUyLCsUryxyr7Z+byZ4429BIdp2D13PK2dOyG74zafEhON1equr7p/Xlezsu4HB5eOCW\nTOaMj+ORJaOBti0uBaG/+P0yVfUuYsL0Q6oboUjOXUhLS8dma2Ds2PHBxzIyRmIymQkJCe3iKwWh\nvSmRZpRSoNrZ5WTX2Xm/oLJX+ym6o8ARSLRqhcSmomq2ldZ2eu2I+MCUfF5Z30/JO1wejuZUEx9p\nDNYkjg4zMCIuhNMF9cHNaFaH2DUu9I86WxMer5+YsKFz/BKGybT2YFEqlWzZ0rZ15H//9xODFI0w\n3JnUKtJDDJy3OrE2ewntpDmILMtsLaml1u0hVq9lVkzPavJ2R6HdhVoh8b2xybx8vpRtZXWEaFRc\nFxmC3ePDqFIGm3ykBZOzjdnj+naaee/JCrw+mXkT4tqMWmaMjia/3Mahs1XUWpv4eH8RK+aNYNmc\nEX36/oJQVhNonhMTPrQ2aorkLAgDaGRLcs61NjI1quPZl+omD7UtdcM/K61lYoS5T9eoXV4fla5m\nUs16InUaVmcm8NczxWwoqGJbaS02j49pUSHckRroaJUcbUallMgrazvil2WZE3m1bNxdgEGn5tHl\nY9Fru/+RIssyX2aXoVRIzBob2+a5aaNjeHt7Lh/uysfmDHwvPvgyH71GxdRRUbg9PmLCDUPm2Isw\nfJVVNwJ0a+Rc5HDx6vkyInWBpjrTokKwaLvXvaqnxLS2IAygkS2dqc5bA7tDj9Xa2q35nmkI3Mkn\nGXW4fP4up5x7o9DhQgZSW450Reo0fHNkAmqFAr8MeqWCIzU27B4vAGqVgqRoM8VVDjzei20l/7rh\nFH94N5sLZTZO5NXyzLvHcbm9wef9sozX1/mO64IKOyXVjUzKiGy3ESfMrCUzyYLN6UGvVfHDuycQ\natTwz205/Mf/7eGnf9vP//vrXjbtKejyPQThcspqAsm5tc1qV/ZUNuDy+SlpbOLz8jqePlHIJ8U1\nePqhYYxIzoIwgKJ0aiwaFbk2J/VuD+vyq9hcVN2md/WZ+kYUwAMj44jQqtlfZcXa7O38RXuowB6o\nVJZ6SaeuJJOOxyen8V+TRnBzYgQ+GfZdcuwrLT4En1+msDJw41BYYePg2SqSo0088eA0Zo6JIbfE\nyjPvHKep2Yvb4+N3bx7hP/6ym5N5Hd9cbD1YDMC8iR1PlS+cmohOo+TR5WOZkB7Jf9w7iWlZ0Uwf\nHfjP5mxm/Rd5bD1U3CffF+HaVFbdMq19ycjZ2uzhULUV7yV7PlxeH6frG4nUqfnZlDRWpkZjUCn5\noqKeT0v69gYaRHIWhAElSRIjQw24fH7+kVuOT5aRgeLGQMK0e7wUNzaRYtZjVquYHWPBD5ys63iH\nd4Pbw8k6O/4eVB4rcLhQAMmmtiMFpUJCkiSmRISgVyrYX2UNjgguXXcG+LwlIS6enUpKrJlHlowJ\nJOhSK8+uP8HfNp7mfIkVm9PDM+8c5+3tbUuBniqoY9/pSlJizIwbEUFHpmVF85fHrmd8WuD5hCgT\n31kxjkeXB/777bdnIQHHc/v+g1EY2mzOZpxNnj55rfLaRvRaJWZDYHq6yOHiL6eKWV9Qxc7yuuB1\nx+vseGWZqZEh6JRKrosK5d/HpxCqUXGg2orD03c30CCSsyAMuJEhgantUqcbZcuaaWvd7bMNjcjA\naEvgmnHhJiQgu87R5jUaPT7W51fy+xMF/ONCBZuLarr13h6/n9LGJuIM2k67dmmUCqZHheL0+oLH\nvlqT87mievyyzM4jJei1KiZlBBKnQiHx0OLRTMqI5HRBPUfOV5OVbOG/V00lIlTHlgPF/Pj/9vDn\nddkcy6nhtU/OomgpdKJQdL5u3NXRFotJS2qcmQul1jbT6cLwFdg57evyGp/fz69eOcjT7xy/4vfz\nyzIVNY1EhxmQJIkLNid/P1tKo9eHTqlgZ3k99S37P47U2JCAyZe0otUoFcyLDcPjl4MNevqKSM6C\nMMAyQvTBX7zFyYFygUUtR5tO1weScGtyNqtVjDDrKW5sCn5IAKwvqORQjY0wrZpInZq9VQ2XPa8M\nUGB34ZMvrjd3ZmaMBaUk8UlxDfVuD9EWPYlRRo7m1PDaJ+eosTYxLSsK9SUb1VRKBd9ZMZZJGZGk\nx4fw3ZXjyUgI5dcPz+Abt40iKdrE0Zwa/rQum+qGJm6ZlkTKFVZkGjsiAp9f5mxh/RW9zrXM4fKQ\nX26jsY9Gor11qqCO/3xuL29vz+3yunNFDdTZ3OSV2aiqd17Re9bb3DR7/cS0rDd/VlqLV5b5xsh4\nlqVE4ZVlNhZVs7/KSkmjm5GhBkK+cspiWlQIRpWSfVVWXJe5segJsVu7Ezt3fs4rr/ytzWMXLuTy\nP//zR2bMmDVIUQlXA51KyZTIEBq9PqZHhbKrooFiRxNWt4ccq5N4g5YI3cUNUhPCzeTZXZyoc3B9\nXBiFdhdnGhpJMen4l6xErM1enjtdzOaialLNeuINnTd2P1gdmJYeF9ZxVbBWoRoVS5Kj2FBYxT9y\ny3lgZBzLbsvklfdP8cXxMoB2O6wB1ColP7irbYEerUbJgkkJLJiUQH65jZ3HynC4PCyfe+XHosaN\nCGfTngJO5tcxOXNotPobTmRZ5vdvH6OwIjBDkpkYyo/unYxaNbDjtqoGF3/94CR+WeZ4bg1fvzmz\n01mTQ+eqg38+mlPDrdOTe/2+lS3JPTrMQLnTTaGjiZEhBkZZjMiyzP4qK2cbGjnb0IhEoG3tV6kV\nCubFWvikpJbDNTbmxob1Op5L9To5r127lh07dqBWq0lOTuapp57CbA7cBT///POsW7cOhULB448/\nzty5c/sk2IE0f/4NzJ9/Q/DvGzas57PPtojELPSJlSNign9ONuk4Vmvnw/Pl+IEpkSFtrh0bZuLD\noiqy6+zMjbXwSUlgCvu2xEAHnTCtmqUpUfzzQgUn6+ydJmdbs5fTDQ5i9RqSL9kM1pnpUSGUNDZx\nuMbG2uMFAKTNiefUlgKiwg2MTOr5+esRcSGMiAu5/IXdlBYfgl6r5GS+WHfujRN5tRRW2EmOMSFJ\nEudLrHxxvIwbpyYOWAwer59n152gsclLqElDrc1NtbWJaEv72R2/X+bIuSoMWhUut5ej56uvMDkH\nZqxiwvTsqwrMPM2MCRxxlCSJlakxbC+rI96oJTPUQIy+49+tceFmPimppaSx79rC9vr2aO7cuWze\nvJkPP/yQ1NRUnn/+eQByc3P56KOP2Lx5M3//+9/55S9/ib8ftpkPpKKiQl599UV+9rNfDXYowlWo\nNVF+WVyDQoIJ4W1HtUa1kowQA2VON08ezaPQ0cQYi5GUS6amM0ONKKWLR7Q6cqjGil+GGdGh3SpT\nKEkSy1KimBBuIivUSJROTY3Xx7/cNZ7HV08f9DPGXr+fHJuTrJRwqhuaOp3izL5Qwy9eOsDHewsG\nNL6hxuP1tVvP3bS3EICHF4/hsXsmolUr2bSnALen76ZnL+doTjUl1Q7mTohj6exUgE6XKXJKGrA5\nPUwbHU1GYig5JVZsjT1raVpV7+StbTk8/vf9vL0t0NDFYgncIFs0Kka1HHcEiNJr+Fp6LPNiwzpN\nzAAWjQq1QqLK1XftVXs9cp4zZ07wzxMnTmTLli0AbNu2jcWLF6NWq0lMTCQ5OZns7GwmTep9F6fq\nd9/Cfuhgh88VKhX4enHO0XzdNKLuvvey13m9Xn75y8f53vceIzo65rLXC0JPte6aloGsUCMmdftf\nyxUp0XxWWkuOzYlGlrglsW1rO61SQYpJT57dhd3jxdzyGj6/TK4tkLQOVtnQKCQmRXR/5KpWKLg3\nPXDU6VitjXfyKnHoFYyID+23hjPd0eTz8UZOOXl2F8nJJjhfzcY9BXzztixUSgV+WSa3xMqOo6Xs\nOx2o0f3OZ+eZkj5z0G8q+pvH60ehAOUlfc0Dm6gOAfD4N69Dq1ZyvriB3BIrE9MjSIoO3BDedF0i\nm/cW8vmRUm6b0fsRaU/sPlEBwKJL3u9MYX2wnOulDp0NTGlfNyqa4jAHOSVWjuXWdHhtRzbuzueD\nL/ORAZ1GSUy4gdj0MPY2NuLxy8yIDu3Vz4dCkojRayh3NuPzy8HqeleiT9ac161bx+LFiwGoqqpi\n4sSJwediY2OprBy+Bez/9rfnSE/PYOHCmwY7FOEqFaPXoFFINPtlJkd0vEHKolVzV1osflnGJ8uo\nFe0nvUaFGsmzu8ixOpkSGYLHHziude6S0fSMqNBOd2lfzhiLCY2iimO1du7twdGtvlba2MT7BVWU\nOd1IQBk+4mJN7D5RQXmtk/AQHTnFDVhbRlQpMWZMBjWn8uvILbGS2Yvp+OHibGE9f3n/BGnxofzw\n7gnBGZI9JysobSm2sX5nHsvnjghuvFrcMloFuHV6MtuPlPDRvkJmj4vt9y5N9XY3J/NrGREXQlxE\nYJ031KThTGE9siwjSRKyLPN/75/kXHEDjS4PRp2KUckWoiw63vk8lyPnqztMzk3NXrYeKsHh9LBy\nfhoF5TY++DKf8BAddy5IY0pmFO/kV3K6oRHsLhKNWqZ1UrWvO6L1Gkoa3dS6PUTrr/z71mVyXr16\nNTU17Y9oPPbYYyxcuBCA5557DrVazdKlSzt9nSvt9BF1972djnL7s2XkkSOH+OKLz3nppTf75fUF\nAUApSWSGGilvaibLYuzyWoUkdXpnn2kx8HEJnLM2Mtpi5PXccgrsLtJD9KSbDXj8cnA9rTc0SgVj\nwkwcq7VzoaGRgW79Ym328vaFcgpajp1dFxlCnEHLxqJqZi1IpfR4FQfOVJFXZiPEqGHuhDimZ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IfSoz1MDn5XWcu6RIydkGJy6fn7mRlgH5IO5MiikwsitytE/OrcepjuXUMCkjihFxZj4pqcEn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\n",
       "text": [
        "<matplotlib.figure.Figure at 0x10ad84f0>"
       ]
      }
     ],
     "prompt_number": 12
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "The colors palette, the figure size and the legends position are OK for me."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "with sns.axes_style(\"ticks\"):\n",
      "    df.plot()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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tZpNnt6yw2EWYqo7gdjsIDJ2MJCk40zWk2NppY2veDnRqX74y71GmR6RT2lTB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fPWIFOp2LGxlk53IPujzuXwpmOzUdErUjGuH//VR+XHKMo11PQiCHDRNbnEJgRz891LWXd+Brf8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B3JcUjoNayenaFmTgmuiAAaf6vRw03DMtDJVCYnWkv2VP7VWT/FArJLblVWJCYsMPElApJf78\nwXdU1eu4al4o3u72RASak11+6cD73CeS7MIGXvoonb/8M5Wm1k4KK5qJC/dAfcHOgEuZ/YwKcUel\nlDhdMHCVr/yejnFa80LIgkZdn6p8PVX4nEKcufaKSKbH+vDqL5O5bVVcvwkbYN5UfzxcNBRWmNdi\nDNRUBsxtXH90zRRmT/ZjYUIAD92UOGjhn7Pddf4njXLSBvMKcpMMfz9+ln+dLuXFo3m0jXDP+6hs\n+RIEQZAkiWh7ONIq86fDORhM5pKT72QUsmFGxEUTxdsnCkmtbGS2vzteDhq+yjcvaI1wd2SGnzvJ\n3aUip/u5M93PnfYuI21dhouuTE7wdeXF5dN6bWlz06pZEuLNrsJqMlUw28+FG5Kj+ffOM9ipFPyg\ne7tTRJD5VkJeaSOLkgJH9sEMg77LSGp2NbPj/Ua0+K1n73leaRObvjIvlJ0aMfLtSv3RqJVEBrmR\nU9JIe6cBe03fNJLb0IpSAh81+Ad6crKmmZPVzZaqfB0Go6WevtJBTY3BwFCqXaiUCq6aG8aHX59B\nY6e0jPoHsnbhpCFXcevpqDfaI22AgO5V46drW7BXKajv0PNORhH/M2PSsC+gxEhbEIRRE9k942cw\nyVwT7U+cpzMZ1c3sukjTkrKWdlIrG1FKcLSige35lbhr7fjNglh+PS+G5eE+fUbT9mrlkLcS9bcH\nfVWELw5qJYdb4UhZPTcuj2L+NH/uXhePh4v5F4kINCft/LL+W6COtve2n+aP7x7li/3D7wVuMJr4\n9kQZ9hrz79pTC35q5OgmbYDJ4Z6YTDI5RQ19nus0mihq0hHi4oBaghgP822FnPoWyzHfFtRgBLrq\nzfd5dxcNfY32lfPC0NgpmRnr22cG4VIUNOpQKyTLFq3RFNh9393ZTsUTC+OI9XS21C4fbutOkbQF\nQRg1zkq4NjqAG2IDWRPhx72JYTjbqfgkq4x9xQN33OoZVT8wfRJ3TQ1laYgXjy+MJdS1/3rpo8FF\no+aRWZGoJXjrRCGn6lp47M7ZvUZmDlo1AV6O5Jc2iGz8tgAAIABJREFUDdqsYjRU1+vYfqAQgE9S\ncmnvHN706YncGppa9SybGcKMWPO0scZOOao13Xv07Gnvb4r84wP5mGTwsTNXx3PRqAlw0pLX0IbB\nZDKv2j5pnhFYO8mPCDdHMmuaqW4b2kItDxctf/9VMj+7afSqbHYajJS1tBPq6jAqVcsuFOXhzJWT\nfHloViTeDhp+lBiGj4OGfSW1PLbnFMcrh35RKJK2IAijanWkH1dO8kWSJFw1ah6eFYmTnYpNmcXs\nLOhbc6FG18mxigYCnbRM83FlQbAnt04Jwdlu7O/ehbk5srY7p+042389iIggN1rbu6huGHr9aH2X\nkYbmiyehjk4D2UX16LuM/OvrMxiMJqKC3Whu0/PF/rO9jm1o6Rj0wmHvcXMiXDI9yDK9PznMY8D7\nw5eip/DKqQuStizLfJtnnlWpLD63DiDG09nSs31nagntdhIqvYnr54VzRZg3MrCrcOijbR93Bxy0\nfcv6jlRRsw6ZsZkaB1ApJG6IDbRchLpq1Dy1KI5bJgdhlGW2nCkb8kWhuKc9THFxccTEnGsduGbN\nGn784x9bMSJBmNhCXB341dxo/u9ILpuzy1kU3Ltk6s6CakwyXBXhN6p7x4fKR21eRFfYpMNgMvXZ\nYx4R6Mr+9DLySxvx9bj4yN9oknnyH4fIL23ircdX4OxgR2l1C99lVbFgWqClQteps3X89d/HqazT\n4dTdnSrUz5nf3T+f+/64k0/35BHo44RKIbF1/1ky8mpZnBTIz25K6vOeTa2dHM6swMfDgZhQdyRJ\n4rE7ZxHmP3gBlJFycbQj2NeZ7KIGdB1dlgSaU9xAu0bCTpY5kV7JFQHmdQgxHk7sLqrhZFUTW1ML\nUQU7kRzhjSRJzPBzZ4t9OftLalkT6Wepjz+eCrq7cI1V0u6PWqkgOcyHnPpWUisbKWlpJ8TFAdNF\nkrdI2sOk1Wr57LPPrB2GINgUPyctC4M92ZZXSVZti2WLVpfRxJHyelw1akt/cGuIcHeiuLmdoqb2\n8xq1dD8X1HNfu4n5Q9jL/MX+fDLzzSPQo6cqWTYrhNc2Z5CRV8s7X54mJsSd1vYuSqtbkID50/zJ\nKqjHJMNda+Nxsldz4/Jo3tp6iufeO2Y5r4eLhn1pZZTXtnHNzHP3Xeua2nli40HaO43cuDzMsrBp\nKLFeillxvny6J4+HX9jLL26bQXSIO18fK8bOVYNaL9Oh6+JEgY4F8yC6+772nvwqFP4OqIE1seaF\nfSqFxFWTfPnnqRJ2FlRxQ2wQtbpO3LV241KJTpZl0qrM09NjsXL8YmYHuJNa2cix8gY8tHb8+XDu\noMeLpC0IwriY4u3CtrxKMmuaLUn7ZE0Tui4jK8M9rVoqNMLdkd1FNeQ3tPZJ2pO6t30dPVXJnHg/\nooLd+E92GUZZ5ubJwb2OLalqYdP2LBy1Kto6DBw6WUFitDcn82sJ8HJEa6ciq7AeJ3s1saEe3L02\nnrhwD4xGE/XNnZZR+DWLIwjxc6G4spnGlk7mTwsgPMCFV/9zgpRjJWzpamfJApm6pg5+/eq3VNfr\nWL8kguuvGJ8OXAC3rYpDkuDTPXn86uX93LwyhsMFNTjEe7JgkhebD5VzLLeVrfvyyS5qQOUMOjsF\nCoWC6+MCcThv//6CIE++zKtkT1EtJc3tnK5tYXWEH9fGjO2FB0BaVRP53W1tPe3Hv0vdVG9XtCoF\nxyoaaO7sovEiC9NsOmnv/OI0p0/0X8xVr9fz7Ve7hn3OyQkBrFg3ecDnOzs7Wb9+veXn0ShfKgjf\nB5PcHHFQK8msabIU9zhUZq4rPZy2oGMhsjtR5zf07r1d0dqBVqUgLsyDrMJ6Hn1pH7PmBFHiZL7A\nWB7m02sF+ztfnkJvMPHorTP4545sjp+pZsfhImQZ1i+J4Kp5YXQZTNhdUHBGqVT0amwhSRLTY3yY\nfsE+5IduSqKhpZPj2dVs3X+Wb46VUF2v45aV5jKl41l9Uq1ScNfaeJJifHjhw+P887/ZOEeaZyWm\nB7hTMTWAfell/ONzc9cw52g3HIOd8dSoWRra+/dSKxWsDPfhk+wyTteaZyC+Lanl6ij/fi/muowm\njlc1crC0Dlk2396YE+BByDAXLhpMJjZnl6GU4PqYsd/S1x+1UkGSrxuHyuo5WFaPn+PgOyJsOmlb\ng0ajEdPjgjACCkki3suFYxUNlLd24KpRc7K6mUBnLcEuY7dKfCg8tHa4adXkN7ZaLig6jSaePZiN\nvUrFb++bS/bZev7xeSZnTV2oMY/IjlU0sCrCvMO4rb2LtDPVRAS5Mn9aAGfLm/hoZw6fpOSiUkos\nSAhEkqQ+CXs4JEniwR8k8sBzO3mzOxleOTd03BP2+RKivHn5F1fw9/+cIMfBhEqSiPRw4rZVceha\nG5k3PYppkV40mYy8fbKIexLD+03EV4R6ozeZiHBzJK2qid1FNZyubbaU3W3p7OLtjCJKmttp1Rsw\nnnfvN6uuhbSqRp5ZEt/rc/g8p5xWvYFb4oN7rZdo0xvIrmvheFUj1bpOkkO9R1yhbDTM8nfnUFk9\nEnBdTCBbBznWppP2inWTBxwV23KDCEG4XE3xNiftzJpm7BQKjLLMvEDrt8SUJIkIN0dSKxupbdfj\n7aDhVE0z7QYT7QY9W3IquH1qCIfL6jih78BfrabaYOBIeb0laX+XVYXBKDNvij9gruX90c4cDEYT\nc+L9cHEcnalXLzd7rpruxudHGkiI8uKB66ZZvb+Di6Md/3NzIj9POUmUhxN23S0y1852Z8YMc09r\nP+D55KkDnkOtVLA20vzZaVVKdhfVcLCsjqk+rrTqDbxwNI/SlnY87e0IdXUg0t2RJSFeONupee9k\nEamVjeQ1tBHVff+8saOLbXnm2vT2aiXXxQRS1tLOroJqjpTX09Vd/Mddq2ZtlP+Yfj4XE+flQpyn\nM9GeTgRrjYMea9NJWxAE2zLF27yaeXteJe0GIwrJvBBnIoh0dyK1spH8hla8HTSWil2uGhX7Smpp\n7TKQ2dWJbJRRVOuYMsWLE9VNlLW0E+hsz+Hu9qZzu5N2mL8Lfp4OVNbpuGJG8IDvOxJJEY5cMX8a\nIX7OqAbonjXeMmvNpUXjvAbpwzlEYa4O+DtpSa9qIrOmic3Z5ZS2tLM0xIsfxgf3uUhZEuJFamUj\nh8rqLEn7SHk9MuaFbl/lV5Hf0EZOvbm8qreDHfODPIlydyLM1QHNKBZpGQmVQuLnc6KAc12+BjIx\n/t+2IT33tHv+98ILL1g7JEGwGS4aNRHujugMRkJcHNgwIwJ37fgv/ulPzwK0nPpWDCYTGdVNeGjt\n2DAjAoUExysb8bS3Q1XaxsnsGpK6p22Pljd0lx+twt/TkRA/c9KSJImblkczM84XzwAnPs0uu+h2\nnmHFG+Q2qhXBRqrLaGLLmXLeyyhGAqZ6X/o2M0mSmBfogcEk89KxfEvCvqWfhA3mfeDuWjXfVTSg\nN5oLuBwsrUOlkPjFnCjsVUpy6lsJc3Vgw4xJ/GFJPGsj/YnxdLZ6wh4uMdIeptOnT1s7BEGwaQ8k\nTaKps4sQF3urT+ueL9jFATetmoOldXho7dAZjMwL8iDMzZEHZ0aiN5pI9HVlU1sW/8lrgCY9GqV5\n1W+QUUF7p5Gr5vn3+p2Wzw5l+exQnj90hryGNqb4uBDtcW4kWtHazt7iWq6NCRyw3zSY934fqzB3\nT+uvJKs1fZRVyt7iWjy0am6JDyZolNYnzAv0IKWwBl9HDddEB1i2jfVHIUnMDfTgq/wq0qsa8XXU\nUt7awXQ/NyLcnXhsfjTNnQaiPZwm1HduJMRIWxCEceWmVRPq6jDh/niqFBL3JoRhkuHzXPNU9/Tu\nrWlTvF2Y7ueGQpKYE2++h308q5qpPi7U6DrZkW6e0pw7pW/bi+bOLsuq9Oy6Vsvjsizz/sliUgpr\nONK9in4guwqreetEESnDqBo2Hpo6uzhQWoe3g4anF08e1T7qblo7/m/ZVH45N3rQhN2jZ23E5uwy\n/plp7oY9v/sxfyd7YjydJ9x3biRE0hYEQegW6+lsWVjmbKci0r1vsogKccfNWUPKsWKaysxJOLOu\nhUBvR6JC3C3dzXqkVzXR88iZunNNM7LrWix9p1Mr+zbe6KE3mvi6u8Tq+a+fCHYX1WAwyawM97H6\nDIC/k5blYT406w0UNOlw1aiIH4Wp+olGTI8LgiCc5+oof1r1BsLcHPotq6pUSPzqtpn89aM0vt1f\niM+iQNwCnXh2+VTeOlHImboW7k0Mtyy666m25a5Vk9/QRqfRhJ1CYmv3aN5Nqya7roWWzi6c+ynh\nub+klubu3sv5Deb77RNBp8HInqIanNRK5gVZfwcAwE2Tg1gf7U9Ofat5/YEVC/aMFTHSFgRBOI9S\nIXH71BAWBQ/c0nJqpBd//1Uyt62IxUOhxKhVcrqpjdTKRlq7jPztWB5f5VfSpjeQVdtCsIs9swPc\nMcoy+fWtnK41j7ITfFxZEeaDSTZX5rpQl9HEjrNV2CkkZvm7ozfJFHbXye7R2KHnTF0LqRUNtHUN\nrzPYpThYVk9bl5Glod6D3o8fbxqVkqk+rgSMQYvNiWDifNKCIAg2RKNWcuPyaFZNNlfS2pRZhATc\nPiUEF42aT8+U89t9pzHKMkm+bsR6mhegpVU18kGmeaX1uih/Zvib7wN/V9F3inxXYTUNHV0sDvFm\nRvf99TP15+6LHy2v59e7M/m/I7m8nlbAR6cH3y40mjKqzRcZS0K8x+09BZG0BUEQLkmCr3nrl1E2\nl2NdHOLFbxfGMi/QwzKtneTrRqS7E0oJ9hTXUtuuZ1WEL6GuDnjaa5jk5kh2XQvN59WdLmtpZ2tu\nBS52KlZH+ln2H+fUm+9rp1c18vaJQjRKBasj/HDTqEmvaqTLOPbT57IsU9Skw9PeXElOGD8iaQ9T\nUtK5tnh79+7lyiuvpKKiwooRCYJgTR72dkxyc8ROIbE+2tzgwkWj5p6EMP7f/Bh+On0SQS72aFVK\nS+vHMFcH1kWda4Yx098NGUitMN//Nphk3j5RiMEkc8dUc29xF40afyct+Q1t5HXAxrQClAoFP5sV\nybUxAcwOcKfdYOJUd5GTsVTfoadFbyBsmLW+hUsnkvYIHTp0iGeeeYY333wTf3/rlsATBMG6fjpj\nEr9dFIfHBV2iwt0cLR3NAOYHeeLtYMePEsN6LZKa5e+BBBwqN7f03FNUQ3FzOwuCPEk4bxtVjIcT\nnUYTu5oklJLEhhkRlhXuM7tbm/Y3zT7aeu6rh4qkPe7E6vEROHbsGE888QT/+Mc/CA4e3fKEgiDY\nHleNGtd+Vn5faFGwV78L3Ny0auK8nDld20JZSzs7CqqwUyq4PrZ356loT2f2FNfioJD5+dzoXkkz\nzNUBT3s70qua0BtN2CkVdBiM7C2uJdLdkYh+tq+NVFGTzvKewviy6aRdeuZLGqoy+n9S38nJfTuG\nfU5332kExawd8Hm9Xs+GDRvYtGkT4eHhwz6/IAhCf+YFenC6toWNaQU0dnSxPMwHZ7vef6KTfN24\nKS4IVU1Jn1GuJEnM9Hdnx9kq/nu2Cme1iu35lTR2duHnqOF3iyePWnGRwu6kPdxWmMKlE9Pjw6RW\nq0lKSuKTTz6xdiiCIFxGknzd0CgVVLR2oJQkVoT79DlGpZBYHu6D8wB1TGZ1T5F/kVvBh6dLaO0y\n4O2gobKtk5KW9lGJs2cRmo+DBke1TY/7bJJNf+JBMWsHHBWnpqYydQxac0qSxEsvvcSdd97Jxo0b\nuf/++0f9PQRB+P7RqJQk+blxuKye+UEefe6PD0WoqwM/TgyjqbMLO6WCyV4ulDTreO14AcfKGwgZ\nhbrgNTo9OoPxsqw2ZgtsOmlbi0ajYePGjdx66614enpyww03WDskQRAuA6sjfOkwGC19pUdidoBH\nr59dNWq0KnNjk+tiAi55iryoyVx6VdzPtg4xPT5MPV94V1dX3nzzTV577TV2795t5agEQbgc+DvZ\n8z8zIkY0yh6InVJBkq8bde168hvbRnyeuvZO/ptfyc7CakCsHLcWMdIepuPHj1v+28/Pj5SUFCtG\nIwiCcHGzA9w5VFZPSmE1Ya6Ow67JXaPr5LmDZyzFYlw1ajHSthKRtAVBEC5zsZ4u+Dlq+K6ikZq2\nM/woMQw/J+2QXtvc2cWLR/No1hu4prvsqreDBpVCTNRag/jUBUEQLnMqhcRj82OYF+hBUbOOd08W\nDfm172QUUaPrZHWEH2uj/PF3shcJ24rEJy8IgvA94KBWcU9CGCEu9hQ16fr0/e5PaXM7mTXNRHs4\nsT5aVH6cCETSFgRB+B4JcXHAYJKpbDXv265obadggAVqu7oXna0M9xm1wizCpRH3tAVBEL5HzHu1\n6yhubifA2Z6/HMmlqdNAlLsT4W4OFDTqcLRTsiLclyPl9fg4aJjq42rtsIVuImkLgiB8jwS72gNQ\n3KwjyNmepk4DTmoluQ2t5Da0IgEykF5l7pe9PNwHhRhlTxgjTtp//etf+eabb5AkCTc3N5577jlL\nt6uNGzeyefNmFAoFjz/+OAsXLhy1gK2ttLSUn/zkJ3zxxReWx15++WUcHR255557rBiZIAjCxQU5\n2yMBJc3tZGnNvblvmhxEsIsDrXoDoa4OnK5t5sNTpUgSzA/0GPyEwrgacdL+0Y9+xMMPPwzApk2b\neOWVV3jmmWfIy8tj+/btbNu2jaqqKu6++2527NiB4jJebSju9QiCYCu0KiW+jhpKmtst+7VjPV1w\n057rUjbdz52p3q4YZRmNaoBC54JVjDiTOjmda/Om0+lwdzcXqk9JSWHNmjWo1WqCgoIICQkhI2OA\nTlyCIAjCuAt2caDdYCSrtoUAJ22vhN1DrVSgFQl7wrmke9ovvvgin3/+ORqNhv/85z8AVFdXk5CQ\nYDnGz8+PqqqqS4tyAJ9klZJa2djvc52d8MnuzGGfc4afGz+IC7rU0ARBECasEBd7jlU0IANxXs7W\nDkcYhkGT9t13301tbW2fxx955BGSk5N55JFHeOSRR3jjjTf44x//yLPPPtvveS42ffzyyy/zyiuv\n9PtcZmbmgEm/qsWcnAfSOdiTA6iqqiJVN/BFRk1NDe3t7aSmploeKy8vR6vV9npspEbjHOPBVuI8\nny3G3MOWYrelWHt832Lu6AQw/11WN1aTmlo9OkH1wxY/2x7WiL2mpgaAZcuW9Xluw4YNII+CsrIy\nec2aNbIsy/LGjRvljRs3Wp6755575PT09GGfs6SkRI6OjpZLSkpGFNN33303otddTGtrq7xo0aJe\nj/3+97+Xt2zZcsnnHquYR5utxHk+W4y5hy3Fbkux9vg+xtzc2SX/aFuqfN/2VFmnN4xSVH3Z4mfb\nw1qxXyz3jfiedmFhoeW/U1JSiIuLAyA5OZlt27ah1+spKSmhqKiIadOmjfRtJhxHR0e8vb05fPgw\nAI2Njezfv58ZY9C7WxAEYSw426mIdHck0dcNe7W4b21LRnxP+4UXXqCgoACFQkFISAhPPfUUAJGR\nkaxatYo1a9agVCp58sknL7vV1X/60594+umnee655wB48MEHCQ4OtnJUgiAIQ/freTHWDkEYgREn\n7b/97W8DPvfAAw/wwAMPjPTUE15ERATvv/++tcMQBEEQvmcu383TgiAIgnCZEUlbEARBEGyESNqC\nIAiCYCNE0hYEQRAEGyGStiAIgiDYCJG0BUEQBMFGiH7aI1BZWcnTTz/N2bNnMZlMLF26lF/96leo\n1X2L7guCIAjCaBEj7WGSZZkNGzawcuVKduzYwY4dO9DpdLz44ovWDk0QBEG4zImkPUyHDx9Gq9Vy\n7bXXAqBQKHjsscfYvHnziBqUCIIgCMJQ2fT0+NtfnOLAibJ+n+vU69F89fWwz7kgIZB71sUP+Hxu\nbi7x8b2fd3JyIiAggMLCQmJiRGlAQRAEYWyIkfYwDVZH/XKrsS4IgiBMLDY90r5nXfyAo+LU1NQx\n6bwVGRnJjh07ej3W2tpKeXk5oaGho/5+giAIgtBDjLSHad68ebS3t/PZZ58BYDQaee6557juuuvQ\naDRWjk4QBEG4nImkPQKvvvoq//3vf7nyyiu56qqr0Gq1/PznP7d2WIIgCMJlzqanx63Fz8+P119/\n3dphCIIgCN8zYqQtCIIgCDZCJG1BEARBsBEiaQuCIAiCjRBJWxAEQRBshEjagiAIgmAjRNIWBEEQ\nBBshkvYwxcbG8stf/tLys8FgYO7cuTzwwANWjEoQBEH4PhBJe5js7e3Jy8uzdPQ6cOAAfn5+Vo5K\nEARB+D4QSXsEFi9ezJ49ewDYtm0ba9assW5AgiAIwveCTVdE25S+mcMlx/t9rlOvR1P+6bDPOTd4\nOrcnXj/oMatXr+bVV1/liiuuICcnhxtuuIHU1NRhv5cgCIIgDIcYaY9ATEwMZWVlfPnllyxZssTa\n4QiCIAjfEzY90r498foBR8Vj1ZqzR3JyMs8//zwffPAB9fX1Y/Y+giAIgtDDppO2Nd1www24uroS\nFRXFkSNHrB2OIAiC8D0gpseHSZIkAHx9fbntttt6PSYIgiAIY0mMtIfp+PG+C99mz57N7NmzrRCN\nIAiC8H0iRtqCIAiCYCNE0hYEQRAEGyGStiAIgiDYCJG0BUEQBMFGiKQtCIIgCDbikpP222+/TWxs\nLI2NjZbHNm7cyMqVK7nqqqv49ttvL/UtBEEQBEHgErd8VVRUcODAAQICAiyP5eXlsX37drZt20ZV\nVRV33303O3bsQKEQg3pBEARBuBSXlEmfffbZXr2lAVJSUlizZg1qtZqgoCBCQkLIyMi4pCAFQRAE\nQbiEkfauXbvw8/MjNja21+PV1dUkJCRYfvbz86OqqmrY5zcajQBUVlaOKL6amhpKS0tH9FprsZWY\nbSXO89lizD1sKXZbirWHiHns2Eqc/bFW7D05rycHXmjQpH333XdTW1vb5/GHH36YN954g7ffftvy\nmCzLA57nYmU+X375ZV555ZV+n7v11lsHfa0gCIIgXG5WrlzZ57ENGzYgyYNl2wHk5ORw1113odVq\nAaiqqsLX15ePP/6YTz8197C+7777ALj33nv52c9+1mv0PRQdHR0kJCTw9ddfo1QqL3r8e++9x513\n3mn5edmyZaSkpFz0uKGebzyO64l5Isd4fpxDMVF+l0v9PoxHjAMZ6uc92u87knNeLFZrfYaDHXth\nzBPlOzsYa30nRvv7MBFiHMhw/x6P1nsbjUZWrlzJiRMnLDn2fCOaHo+OjubgwYOWn5OTk/n0009x\nc3MjOTmZRx99lLvuuouqqiqKioqYNm3asN+jJ9jQ0NAhHe/i4kJQUFCvxy78eaDjhnq+8TguKCho\nwsfYE+dQTKTf5VK+D+MV40Cs9b4jOedgx1vzMxzs2PMfn0jf2cFM5BiH+n2YKDEOZDh/j0f7vftL\n2DBKDUPOn/6OjIxk1apVrFmzBqVSyZNPPjkuXbCG2rBjoh9nzfcei6YnE/13sYX/X4bqcvqdxe8y\nOmzhd5noMVrzd+nPiKbHx0tMTAxnzpwZ99dai63EbCtxns8WY+5hS7HbUqw9RMxjx1bi7I81Yx/s\nvcXmaUEQBEGwEcqnnnrqKWsHMZg5c+ZY5bXWYisx20qc57PFmHvYUuy2FGsPEfPYsZU4+2PN2Ad6\n7wk9PS4IgiAIwjlielwQBEEQbIRI2oIgCIJgI0TSFgRBEAQbIZK2IAiCINgIkbQFQRAEwUaIpC0I\ngiAINsKmk/auXbuIjY3l7Nmz1g5lULGxsb36jhsMBubOncsDDzxgxaiGJikpydohjMjF4r799tvJ\nzMwcp2guzla+y6+99hpr167l6quvZv369WRkZFg7pCGprKzkJz/5CVdeeSUrVqzgmWeeoaura8Dj\n3333XTo6OsYxwnNiY2N5/vnnLT+/9dZbA3ZBtLa4uDjWr1/P2rVrueaaa3jnnXcG7fg4UdnS3zmb\nTtpffvklS5cuZdu2bcN6nclkGqOI+mdvb09eXh6dnZ0AHDhwAD8/v3GNQehrPGriD9VIv8vjKS0t\njb1797Jlyxa2bt3Ku+++axPfY1mW2bBhAytXrmTHjh3s2LEDnU7Hiy++OOBr3n//fdrb28cxynPU\najU7d+6koaEBmFjf0wtptVo+++wzvvzyS9555x327ds3YS8wLhc2m7Tb2trIyMjgt7/9Ldu3bwfg\nyJEj3Hrrrdx///1cddVVPPnkk5arvqSkJJ5//nmuueYa0tPTxz3exYsXs2fPHgC2bdvGmjVrLM9l\nZGRw8803c+2113LzzTdTUFAAwG233UZ2drbluFtuucUqtXCPHj3aa1bgd7/7HVu2bAHMHd5efvll\nrrvuOtatWzehRoqDxT2RDPRdHij2vXv3smrVKq677jr+8Ic/jNuMTW1tLW5ubqjVagDc3Nzw8fEh\nMzOT22+/neuuu457772XmpoawDyb8cwzz7B+/XrWrVtntVH54cOH0Wq1XHvttQAoFAoee+wxNm/e\nTHt7O88//zzr1q3j6quv5oMPPmDTpk1UV1dzxx13DLkl42hSqVTceOONvPvuu32eKy0t5Y477uDq\nq6/mrrvuoqKigpaWFpKTky3H6HQ6li5ditFoHMeowcPDg9/97nd88MEHgLnF5PPPP88NN9zA1Vdf\nzUcffWQ59o033mDdunVcc801/OUvfxnXOAei0+m46667LH/LelqKlpaWsmrVKp544gnWrl3Lvffe\naxmAWYPNJu2UlBQWLlxIQEAAHh4enDp1CoCTJ0/yxBNPsH37dkpKSvj6668BaG9vJyEhgc8//5zp\n06ePe7yrV69m27b/3979x1RV/3Ecf957J2ZxZYCpC9iqq6EhbKY5lRxhxQ3s0uWimQozGen8Q/yx\nVnOMsLjL+seRi9hatkxJR3C9BqzcHKOtJqRtrTXYui40uYIWIr9kXG739MfdPeMCWn6/dY5X34+/\nuOdy731xOfe8z+dzPvfzacLn8/HLL7+ErS8gMXgCAAAJD0lEQVT+6KOPUlNTw4kTJygpKVFbAGvX\nrlXXJ+/s7MTn85GcnKx59okMBkPY2X9cXBwul4sNGzbwySef6Jjs1ibmvlNMtS9PzBnKPjo6Snl5\nOR9//DEul0ttjWkhPT2dnp4erFYrb731FmfPnmVsbAyn08nBgwdxuVzk5+eHtWBHR0dxu92Ul5dT\nWlqqWdbxPB4PKSkpYduio6N56KGH+OKLL/B6vZw8eZIvv/wSm81GYWEhs2fP5siRIxw+fFiXzBs3\nbqShoYGhoaGw7U6nE4fDoWZ1Op2YzWYWLFhAW1sbAC0tLaxatQqTyaR57qSkJAKBAL29vdTV1TFz\n5kzq6uqoq6ujtraWrq4uvvnmG5qbm6mrq+PkyZMUFxdrnnMq9913Hx988AEul4vDhw+HXaL47bff\n2LRpE42NjZjNZk6dOqVbzogt2k1NTWRnZwPw/PPP09jYiMFgIC0tjcTERIxGI2vWrOGHH34AwGQy\nYbVadcubnJyM1+ulsbGRjIyMsPsGBwcpKSnBZrOxf/9+PB4PAFarlZaWFvx+P/X19TgcDj2i/63n\nnnsOgJSUFLxer85pIs9U+/JUFEXh119/JSkpiYSEBICwHpv/2v3334/L5aKiooK4uDh2795NbW0t\nHo+HLVu2YLfbqa6u5sqVK+pjQvmWLl3K0NDQpCKkhZudqCmKwvfff8+GDRswGoOHwpiYGC2j3VR0\ndDR2u53PPvssbPuPP/6IzWYDIDc3Vz2+5eTkqL00TU1N5OTkaBt4Ct999x1utxu73c5LL71Ef38/\nFy9epLW1lfz8fKZPnw7cOe95IBDgwIED5ObmUlRUxNWrV+nt7QWC62ovWLAA0P8496+sp62169ev\n09bWpha3QCCAwWDg6aefDvuAKoqifhijoqJ0b2WtXr2a9957j6NHj3Lt2jV1+/vvv8+KFSuoqqrC\n6/VSWFgIBK+Fr1y5ktOnT/P111/r1rVrMpnCxgFMHKATFRUFBLsd/X6/ptlu5e9y3wluti8/88wz\nYdlD3XET92GtB/0YjUaWLVvGsmXLeOyxx6ipqWH+/PkcP35c0xy3Y968eZNaRkNDQ3R3d5OUlHTH\nDpzavHkzeXl5k07Wp8qbmZnJgQMH6O/vp729neXLl2sVM8ylS5cwGo3Ex8cD8Oabb5Kenh72O99+\n+60e0f5WQ0MDfX19nDhxApPJxOrVq9XPXegYB8HjinSP36ZTp07x4osv0tzcTHNzMy0tLSQmJnL2\n7Fl++uknurq6CAQCfPXVVyxZskTvuKq1a9eyY8cO5s+fH7Z9aGiI2bNnA6jd4SHr1q3D6XSSlpaG\n2WzWLOt4CQkJnD9/Hp/Px8DAAK2trbrkuF2RkPtm+7KiKGHZz5w5g8Fg4JFHHuHSpUvqmX6odaWF\nzs5OLly4oN5ub2/HYrHQ19enjhMZGxvj/Pnz6u+E8p07dw6z2Ux0dLRmeUNWrFjByMgIbrcbCF5r\nfffdd3E4HKSnp3P8+HH1+m9/fz8ADzzwgC69AuPFxMSQnZ1NfX29um3x4sXqYMWGhgaefPJJIJg3\nNTUVp9NJZmamLg2Ua9euUV5erjY6nnrqKT7//HP1RL6zs5ORkRFWrlxJfX29ehIdes/1Njg4SHx8\nPCaTidbWVi5fvqx3pClFZEu7qamJrVu3hm3Lysri2LFjpKamUlFRwcWLF1m+fLnadatnKzv02nPm\nzKGgoGBSnuLiYt544w2qq6vJyMgIuy8lJQWz2axL17jf7ycqKoq5c+eSnZ2NzWYjMTFx0vXBkDvl\nmvHt5tbTzfblUJf5xOzTp0+nvLyc4uJiZsyYQWpqqmbv+Y0bN6ioqGBwcBCTycTDDz/M22+/zfr1\n63E6nQwODvLnn3+yefNm5s2bp+bNy8vD7/fzzjvvaJJzKlVVVezbt4/q6moCgQAZGRns2bMHo9HI\nhQsXyM3NVQeAbdq0ifXr11NcXMycOXM0v649/v9ZVFRETU2NerusrIy9e/dy6NAh4uPj2b9/v3pf\nTk4Ou3bt4siRI5plHR0dxW634/f7MZlM2O12XnnlFSDY4PB6veoAwLi4OKqqqli1ahUdHR3k5+cz\nbdo0MjIy2L17t2aZJwodL2w2G9u3b8dms7Fo0SIsFotumW5JuYu0tbUp27Zt0zvGv6qnp0fJysrS\n5bU7OjqUdevW6fLa/49Izf1PDQ8Pqz/v27dP+fTTT3VMc3MFBQXKzz//rHcMIW4p0o4XEdnSvle4\n3W4qKyvZu3ev5q997Ngxjh49qtuI3/9VpOa+HbW1tbjdbsbGxnj88cd5+eWX9Y4kRESKxOOFQVHu\n0FEYQgghhAgTkQPRhBBCiHuRFG0hhBB3ve7ubgoLC1mzZg0vvPCC+h3469evs2XLFqxWK0VFRQwM\nDKjbCwsLWbx4MRUVFWHP5fP5KCsrw2q1kp2drU7ipQXpHhdCCHHX+/333/njjz9YuHAhw8PDOBwO\nPvzwQ+rr64mNjeXVV1/lo48+YmBggNdee42RkRHa29vxeDx4PB7KysrU5zp48CCKorBz504A+vr6\niI2N1eTvkJa2EEKIu96DDz7IwoULgeD32i0WC1euXKG5uVn9WlpeXh6nT58GgpNbLVmyJGxilRCX\ny8W2bdvU21oVbJCiLYQQ4h7T1dVFR0cHaWlp9Pb2MmvWLABmzZqlTl0aMnEehFD3eWVlJQ6Hg507\nd056zH9JirYQQoh7xvDwMCUlJZSWlk6aoe+fTBDl9/vp6enhiSeewOVyqStIakWKthBCiHvC2NgY\nJSUl5Obm8uyzzwIQHx+vLid79epV4uLibvkcsbGxzJgxg6ysLCC4sFN7e/t/G3wcKdpCCCHueoqi\nUFpaisViUadaheBCTqHFmNxut1rMxz9uPIPBQGZmprqWwZkzZ9Rpe7Ugo8eFEELc9c6dO0dBQQHJ\nyclqF/iePXtIS0tj165ddHd3k5CQQGVlJTNnzgSCBX14eBifz0dMTAyHDh3CYrFw+fJlXn/9dQYG\nBtQ54OfOnavJ3yFFWwghhIgQ0j0uhBBCRAgp2kIIIUSEkKIthBBCRAgp2kIIIUSEkKIthBBCRAgp\n2kIIIUSEkKIthBBCRIi/AAednNJMjKXZAAAAAElFTkSuQmCC\n",
       "text": [
        "<matplotlib.figure.Figure at 0x10ce2e30>"
       ]
      }
     ],
     "prompt_number": 13
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "## Let's go with Highcharts"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from pandas_highcharts.display import display_highcharts"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<script src=\"http://code.highcharts.com/highcharts.js\"></script>\n",
        "<script src=\"http://code.highcharts.com/modules/exporting.js\"></script>\n"
       ],
       "metadata": {},
       "output_type": "display_data",
       "text": [
        "<IPython.core.display.HTML at 0xb1c278ac>"
       ]
      }
     ],
     "prompt_number": 1
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "display_highcharts(df, title=\"Brownian Motion\")"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div id=\"chart_idsppIBdFj\"\"</div>\n",
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       ],
       "metadata": {},
       "output_type": "display_data",
       "text": [
        "<IPython.core.display.HTML at 0xb1c3b70c>"
       ]
      }
     ],
     "prompt_number": 11
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "You can also retrieve the JSON data generated by *pandas_highcharts* thanks to the function `serialize`."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from pandas_highcharts.core import serialize"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 19
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Serialize the previous `DataFrame` with the pandas_highcharts function `serialize`."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "json_data = serialize(df, render_to=\"brownian\", title=\"Brownian Motion\")"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 20
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "And display the charts thanks to the HTML renderer and the function `display` of IPython"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from IPython.core.display import display, HTML"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 21
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "display(HTML(\"\"\"<div id=\"{chart_id}\"</div>\n",
      "<script type=\"text/javascript\">{data}</script>\"\"\".format(chart_id=\"brownian\", data=json_data)))"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div id=\"brownian\"</div>\n",
        "<script type=\"text/javascript\">new Highcharts.Chart({\"title\": {\"text\": \"Brownian Motion\"}, \"series\": [{\"data\": [[1427068800000, -0.63300197161020855], [1427155200000, -0.87512350456079768], [1427241600000, -1.3810576979447651], [1427328000000, -0.97723342391758061], [1427414400000, -0.66180916923014799], [1427670000000, 0.47047418888647985], [1427756400000, 0.94967415726715543], [1427842800000, 2.2723252430819358], [1427929200000, 2.4287809289649336], [1428015600000, 3.4750986008579918], [1428274800000, 3.7840374290345649], [1428361200000, 2.6173215155920544], [1428447600000, 2.6752247168601078], [1428534000000, 3.1833084497158697], [1428620400000, 2.1307591348519757], [1428879600000, 3.4206358237086052], [1428966000000, 2.7643187027405212], [1429052400000, 2.6874283364634146], [1429138800000, 4.0811443028172114], [1429225200000, 4.9448068832879501], [1429484400000, 4.3233724321170026], [1429570800000, 5.7172628246359345], [1429657200000, 5.6275966064392131], 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1.6202354879073151], [1439766000000, 0.63123569691535764], [1439852400000, 1.9205927623856709], [1439938800000, 1.4319120459686272], [1440025200000, 0.83131136775432801], [1440111600000, 3.2133195948131812], [1440370800000, 4.0497130619002011], [1440457200000, 5.32984226364783], [1440543600000, 5.3428215829952448], [1440630000000, 4.7963756936808748], [1440716400000, 2.3973900747194898], [1440975600000, 1.604145282138542], [1441062000000, 2.1150369828585016], [1441148400000, 4.7444041226927745], [1441234800000, 4.2268154164133191], [1441321200000, 4.8792999313966767], [1441580400000, 4.111574483725053], [1441666800000, 3.9466396711956451], [1441753200000, 3.963197112489651], [1441839600000, 3.972840943713035], [1441926000000, 4.4014961616900052], [1442185200000, 3.7316928608080646], [1442271600000, 3.1637167936188066], [1442358000000, 3.7676111063022577], [1442444400000, 4.7622154145249596], [1442530800000, 2.8992281562462057], [1442790000000, 2.2297750125250126], [1442876400000, 2.2618080724026077], [1442962800000, 1.6724936534056891], [1443049200000, -0.065441996074431241], [1443135600000, 0.72406335851756032], [1443394800000, 1.4414707043630099], [1443481200000, 2.1468126448255576], [1443567600000, 1.4768409324317182], [1443654000000, 0.23429842114924226], [1443740400000, -0.87822162076108845], [1443999600000, -3.4782847469023448], [1444086000000, -3.6014871877979351], [1444172400000, -3.2639611509178446], [1444258800000, -4.2222731331295398], [1444345200000, -3.8251539943588173], [1444604400000, -3.6175785469024708], [1444690800000, -1.6723877396639444], [1444777200000, -1.6523301134816777], [1444863600000, -1.6164847881478921], [1444950000000, -1.5296058548163123], [1445209200000, 0.0152534134670268], [1445295600000, -0.859162221140365], [1445382000000, -0.32955788652637386], [1445468400000, 0.29460308070068153], [1445554800000, 0.60980899806446276], [1445817600000, 0.37716646141727056], [1445904000000, -1.7497729058311418], [1445990400000, -2.7965622585253227], [1446076800000, -2.8839206708166705], [1446163200000, -3.5625725097116709], [1446422400000, -3.7220476655895269], [1446508800000, -5.1806584870849317], [1446595200000, -4.7514091038433666], [1446681600000, -3.0449513307509699], [1446768000000, -1.4348274992163874], [1447027200000, -0.76355772847284675], [1447113600000, -1.7621928128499675], [1447200000000, -2.0101161965769703], [1447286400000, -2.1686614200733567], [1447372800000, -1.8191804414021648], [1447632000000, -1.2040496838409509], [1447718400000, -0.99077809304811981], [1447804800000, -1.7681448823670274], [1447891200000, -1.2572272435073981], [1447977600000, -0.28465676615734947], [1448236800000, 0.052705466765631537], [1448323200000, -1.7457564485014798], [1448409600000, -1.8225705205569511], [1448496000000, -2.537781433493516], [1448582400000, -2.0292048766026878], [1448841600000, -1.9089426265720617], [1448928000000, -2.6881551789849127], [1449014400000, -3.0096315355956329], [1449100800000, -1.6217623911631007], [1449187200000, -3.0564606647369632], [1449446400000, -3.334328263644919], [1449532800000, -5.1775182561843138], [1449619200000, -6.9131748498663157], [1449705600000, -5.9687249057793537], [1449792000000, -5.8661972061937977], [1450051200000, -6.0914781556298951], [1450137600000, -7.2059008644014355], [1450224000000, -7.1632276858462181], [1450310400000, -8.0163596234647283], [1450396800000, -8.4966473529837057], [1450656000000, -7.6591051717527474], [1450742400000, -7.465726233140991], [1450828800000, -6.7126116644900629], [1450915200000, -5.5678943910869361], [1451001600000, -4.2454557244183082], [1451260800000, -3.4687749106530212], [1451347200000, -1.5582066832080366], [1451433600000, 0.68718992544138713], [1451520000000, -0.96739491125361599], [1451606400000, -1.9339641887647208], [1451865600000, -1.7197129701391383], [1451952000000, -0.95369721218898984], [1452038400000, 0.67430036120287384], [1452124800000, 0.86684793390010628], [1452211200000, 1.1218617153033636], [1452470400000, 1.7320096560982297], [1452556800000, 1.4591129751123622], [1452643200000, 1.3917349626146847], [1452729600000, 3.3576712583312958], [1452816000000, 2.5440659999993813], [1453075200000, 2.5726215210074255], [1453161600000, 2.730938458726837], [1453248000000, 1.1457083709254603], [1453334400000, 1.4505706955103905], [1453420800000, 1.3339563784612136]], \"name\": \"Z\", \"yAxis\": 0}], \"yAxis\": [{}], \"chart\": {\"renderTo\": \"brownian\"}, \"xAxis\": {\"type\": \"datetime\"}, \"legend\": {\"enabled\": true}});</script>"
       ],
       "metadata": {},
       "output_type": "display_data",
       "text": [
        "<IPython.core.display.HTML at 0xb1c3164c>"
       ]
      }
     ],
     "prompt_number": 24
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "## Try to change some parameters"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "You can also retrive the related Python dict before getting the JSON version. You'll have the same structure as Highcharts options and can change some parameters."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "data = serialize(df, render_to=\"brownian\", output_type=\"json\")"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 25
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "data.keys()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 26,
       "text": [
        "['series', 'yAxis', 'chart', 'xAxis', 'legend']"
       ]
      }
     ],
     "prompt_number": 26
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "data[\"chart\"]"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 27,
       "text": [
        "{'renderTo': 'brownian'}"
       ]
      }
     ],
     "prompt_number": 27
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "data[\"legend\"]"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 28,
       "text": [
        "{'enabled': True}"
       ]
      }
     ],
     "prompt_number": 28
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "data[\"yAxis\"] = {}"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 45
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Add a Y-axis title"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "data[\"yAxis\"][\"title\"] = {\"text\": \"Bro Values\"}"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 46
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Add a subtitle"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "data[\"subtitle\"] = {\"text\": \"a subtitle here...\"}"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 33
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Change the chart type"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "data[\"chart\"][\"type\"] = \"spline\""
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 34
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "data[\"plotOptions\"] = {\"spline\": {\n",
      "     \"lineWidth\": 4,\n",
      "     \"states\": {\n",
      "     \"hover\": {\n",
      "     \"lineWidth\": 5}\n",
      "     }}}"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 56
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "data[\"chart\"][\"renderTo\"] = \"new_brownian\""
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 42
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "print data[\"chart\"]\n",
      "print data[\"subtitle\"]\n",
      "print data[\"yAxis\"]"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "{'renderTo': 'new_brownian', 'type': 'spline'}\n",
        "{'text': 'a subtitle here...'}\n",
        "{'title': {'text': 'Bro Values'}}\n"
       ]
      }
     ],
     "prompt_number": 47
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Serialize this new dict."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from pandas_highcharts.core import JSONEncoder"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 39
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "json_data_2 = \"new Highcharts.Chart(%s);\" % JSONEncoder().encode(data)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 57
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "display(HTML(\"\"\"<div id=\"{chart_id}\"</div>\n",
      "<script type=\"text/javascript\">{data}</script>\"\"\".format(chart_id=\"new_brownian\", data=json_data_2)))"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div id=\"new_brownian\"</div>\n",
        "<script type=\"text/javascript\">new Highcharts.Chart({\"subtitle\": {\"text\": \"a subtitle here...\"}, \"yAxis\": {\"title\": {\"text\": \"Bro Values\"}}, \"series\": [{\"data\": [[1427068800000, -0.63300197161020855], [1427155200000, -0.87512350456079768], [1427241600000, -1.3810576979447651], [1427328000000, -0.97723342391758061], [1427414400000, -0.66180916923014799], [1427670000000, 0.47047418888647985], [1427756400000, 0.94967415726715543], [1427842800000, 2.2723252430819358], [1427929200000, 2.4287809289649336], [1428015600000, 3.4750986008579918], [1428274800000, 3.7840374290345649], [1428361200000, 2.6173215155920544], [1428447600000, 2.6752247168601078], [1428534000000, 3.1833084497158697], [1428620400000, 2.1307591348519757], [1428879600000, 3.4206358237086052], [1428966000000, 2.7643187027405212], [1429052400000, 2.6874283364634146], [1429138800000, 4.0811443028172114], [1429225200000, 4.9448068832879501], [1429484400000, 4.3233724321170026], [1429570800000, 5.7172628246359345], [1429657200000, 5.6275966064392131], [1429743600000, 6.0866311488294862], [1429830000000, 5.7656843298826095], [1430089200000, 6.0483391706988296], [1430175600000, 6.9603416860203815], [1430262000000, 5.0317078140072038], [1430348400000, 4.1466140262446123], [1430434800000, 3.6586435256666476], [1430694000000, 3.2553717877470447], [1430780400000, 3.4282052403409895], [1430866800000, 3.853740750107276], [1430953200000, 3.5042243025921587], [1431039600000, 2.4791273308275312], [1431298800000, 0.51510796305605067], [1431385200000, 0.35760398736910215], [1431471600000, 0.0078997014244054919], [1431558000000, -0.33026691898036392], [1431644400000, 1.9796062095820146], [1431903600000, 3.7633830215019013], [1431990000000, 3.7869141984911194], [1432076400000, 3.5765812468313354], [1432162800000, 3.9128331755128549], [1432249200000, 4.5971723099382213], [1432508400000, 3.5658462387701415], [1432594800000, 5.9279212341775498], [1432681200000, 6.5318031202062414], [1432767600000, 6.1089419608917446], [1432854000000, 5.0450834457185154], [1433113200000, 5.2335363145495801], [1433199600000, 5.3980694136677645], [1433286000000, 7.0089587572345025], [1433372400000, 7.0080788162085907], [1433458800000, 7.2368775263901961], [1433718000000, 6.2337788461472847], [1433804400000, 5.4810899337067998], [1433890800000, 5.0039913995564822], [1433977200000, 4.0991054932214892], [1434063600000, 4.653706344460967], [1434322800000, 4.5662350194406773], [1434409200000, 3.4238478212858849], [1434495600000, 2.2157743557366869], [1434582000000, 3.3140748653224459], [1434668400000, 3.1016258420038887], [1434927600000, 3.2369376011717717], [1435014000000, 2.9246850729300302], [1435100400000, 4.0299462168993383], [1435186800000, 2.6393371010521163], [1435273200000, 2.1812247789023798], [1435532400000, 2.6107225534308895], [1435618800000, 2.495827871680345], [1435705200000, 2.310700184172052], [1435791600000, 2.41969085298813], [1435878000000, 2.185159587528112], 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