BTC Data.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: quandl in /opt/conda/lib/python3.7/site-packages (3.4.8)\n",
      "Requirement already satisfied: pandas>=0.14 in /opt/conda/lib/python3.7/site-packages (from quandl) (0.25.1)\n",
      "Requirement already satisfied: numpy>=1.8 in /opt/conda/lib/python3.7/site-packages (from quandl) (1.17.2)\n",
      "Requirement already satisfied: inflection>=0.3.1 in /opt/conda/lib/python3.7/site-packages (from quandl) (0.3.1)\n",
      "Requirement already satisfied: six in /opt/conda/lib/python3.7/site-packages (from quandl) (1.12.0)\n",
      "Requirement already satisfied: pyasn1 in /opt/conda/lib/python3.7/site-packages (from quandl) (0.4.7)\n",
      "Requirement already satisfied: pyOpenSSL in /opt/conda/lib/python3.7/site-packages (from quandl) (19.0.0)\n",
      "Requirement already satisfied: ndg-httpsclient in /opt/conda/lib/python3.7/site-packages (from quandl) (0.5.1)\n",
      "Requirement already satisfied: more-itertools<=5.0.0 in /opt/conda/lib/python3.7/site-packages (from quandl) (5.0.0)\n",
      "Requirement already satisfied: python-dateutil in /opt/conda/lib/python3.7/site-packages (from quandl) (2.8.0)\n",
      "Requirement already satisfied: requests>=2.7.0 in /opt/conda/lib/python3.7/site-packages (from quandl) (2.22.0)\n",
      "Requirement already satisfied: pytz>=2017.2 in /opt/conda/lib/python3.7/site-packages (from pandas>=0.14->quandl) (2019.2)\n",
      "Requirement already satisfied: cryptography>=2.3 in /opt/conda/lib/python3.7/site-packages (from pyOpenSSL->quandl) (2.7)\n",
      "Requirement already satisfied: chardet<3.1.0,>=3.0.2 in /opt/conda/lib/python3.7/site-packages (from requests>=2.7.0->quandl) (3.0.4)\n",
      "Requirement already satisfied: certifi>=2017.4.17 in /opt/conda/lib/python3.7/site-packages (from requests>=2.7.0->quandl) (2019.6.16)\n",
      "Requirement already satisfied: idna<2.9,>=2.5 in /opt/conda/lib/python3.7/site-packages (from requests>=2.7.0->quandl) (2.8)\n",
      "Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /opt/conda/lib/python3.7/site-packages (from requests>=2.7.0->quandl) (1.25.3)\n",
      "Requirement already satisfied: asn1crypto>=0.21.0 in /opt/conda/lib/python3.7/site-packages (from cryptography>=2.3->pyOpenSSL->quandl) (0.24.0)\n",
      "Requirement already satisfied: cffi!=1.11.3,>=1.8 in /opt/conda/lib/python3.7/site-packages (from cryptography>=2.3->pyOpenSSL->quandl) (1.12.3)\n",
      "Requirement already satisfied: pycparser in /opt/conda/lib/python3.7/site-packages (from cffi!=1.11.3,>=1.8->cryptography>=2.3->pyOpenSSL->quandl) (2.19)\n"
     ]
    }
   ],
   "source": [
    "!pip install quandl"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import quandl"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = quandl.get(\"BITFINEX/BTCUSD\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Mid</th>\n",
       "      <th>Last</th>\n",
       "      <th>Bid</th>\n",
       "      <th>Ask</th>\n",
       "      <th>Volume</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>2014-04-15</td>\n",
       "      <td>513.900000</td>\n",
       "      <td>452.00</td>\n",
       "      <td>504.23500</td>\n",
       "      <td>505.0000</td>\n",
       "      <td>503.5000</td>\n",
       "      <td>504.97</td>\n",
       "      <td>21013.584774</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2014-04-16</td>\n",
       "      <td>547.000000</td>\n",
       "      <td>495.00</td>\n",
       "      <td>537.50000</td>\n",
       "      <td>538.0000</td>\n",
       "      <td>537.0000</td>\n",
       "      <td>538.00</td>\n",
       "      <td>29633.358705</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2014-04-17</td>\n",
       "      <td>538.500000</td>\n",
       "      <td>486.10</td>\n",
       "      <td>507.02000</td>\n",
       "      <td>508.0000</td>\n",
       "      <td>506.0400</td>\n",
       "      <td>508.00</td>\n",
       "      <td>20709.783819</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2014-04-18</td>\n",
       "      <td>509.000000</td>\n",
       "      <td>474.25</td>\n",
       "      <td>483.77000</td>\n",
       "      <td>482.7500</td>\n",
       "      <td>482.7500</td>\n",
       "      <td>484.79</td>\n",
       "      <td>10458.045243</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2014-04-19</td>\n",
       "      <td>513.989900</td>\n",
       "      <td>473.83</td>\n",
       "      <td>505.01065</td>\n",
       "      <td>507.4999</td>\n",
       "      <td>502.5313</td>\n",
       "      <td>507.49</td>\n",
       "      <td>8963.618369</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2019-11-03</td>\n",
       "      <td>9400.600000</td>\n",
       "      <td>9100.00</td>\n",
       "      <td>9232.55000</td>\n",
       "      <td>9232.6000</td>\n",
       "      <td>9232.5000</td>\n",
       "      <td>9232.60</td>\n",
       "      <td>3568.768666</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2019-11-04</td>\n",
       "      <td>9645.000000</td>\n",
       "      <td>9152.00</td>\n",
       "      <td>9439.05000</td>\n",
       "      <td>9439.0000</td>\n",
       "      <td>9439.0000</td>\n",
       "      <td>9439.10</td>\n",
       "      <td>7456.809110</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2019-11-05</td>\n",
       "      <td>9504.095482</td>\n",
       "      <td>9185.10</td>\n",
       "      <td>9355.10000</td>\n",
       "      <td>9356.1000</td>\n",
       "      <td>9354.1000</td>\n",
       "      <td>9356.10</td>\n",
       "      <td>3401.995961</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2019-11-06</td>\n",
       "      <td>9475.000000</td>\n",
       "      <td>9278.00</td>\n",
       "      <td>9365.05000</td>\n",
       "      <td>9365.0000</td>\n",
       "      <td>9365.0000</td>\n",
       "      <td>9365.10</td>\n",
       "      <td>3464.130119</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2019-11-07</td>\n",
       "      <td>9387.100000</td>\n",
       "      <td>9051.60</td>\n",
       "      <td>9215.95000</td>\n",
       "      <td>9216.0000</td>\n",
       "      <td>9215.9000</td>\n",
       "      <td>9216.00</td>\n",
       "      <td>3719.391160</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1987 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                   High      Low         Mid       Last        Bid      Ask  \\\n",
       "Date                                                                          \n",
       "2014-04-15   513.900000   452.00   504.23500   505.0000   503.5000   504.97   \n",
       "2014-04-16   547.000000   495.00   537.50000   538.0000   537.0000   538.00   \n",
       "2014-04-17   538.500000   486.10   507.02000   508.0000   506.0400   508.00   \n",
       "2014-04-18   509.000000   474.25   483.77000   482.7500   482.7500   484.79   \n",
       "2014-04-19   513.989900   473.83   505.01065   507.4999   502.5313   507.49   \n",
       "...                 ...      ...         ...        ...        ...      ...   \n",
       "2019-11-03  9400.600000  9100.00  9232.55000  9232.6000  9232.5000  9232.60   \n",
       "2019-11-04  9645.000000  9152.00  9439.05000  9439.0000  9439.0000  9439.10   \n",
       "2019-11-05  9504.095482  9185.10  9355.10000  9356.1000  9354.1000  9356.10   \n",
       "2019-11-06  9475.000000  9278.00  9365.05000  9365.0000  9365.0000  9365.10   \n",
       "2019-11-07  9387.100000  9051.60  9215.95000  9216.0000  9215.9000  9216.00   \n",
       "\n",
       "                  Volume  \n",
       "Date                      \n",
       "2014-04-15  21013.584774  \n",
       "2014-04-16  29633.358705  \n",
       "2014-04-17  20709.783819  \n",
       "2014-04-18  10458.045243  \n",
       "2014-04-19   8963.618369  \n",
       "...                  ...  \n",
       "2019-11-03   3568.768666  \n",
       "2019-11-04   7456.809110  \n",
       "2019-11-05   3401.995961  \n",
       "2019-11-06   3464.130119  \n",
       "2019-11-07   3719.391160  \n",
       "\n",
       "[1987 rows x 7 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "data[\"Change\"] = data[\"Last\"].pct_change()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = data[1:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Mid</th>\n",
       "      <th>Last</th>\n",
       "      <th>Bid</th>\n",
       "      <th>Ask</th>\n",
       "      <th>Volume</th>\n",
       "      <th>Change</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>2014-04-20</td>\n",
       "      <td>2626.484900</td>\n",
       "      <td>2421.380000</td>\n",
       "      <td>2534.046403</td>\n",
       "      <td>2537.689900</td>\n",
       "      <td>2528.392806</td>\n",
       "      <td>2539.700000</td>\n",
       "      <td>74686.394938</td>\n",
       "      <td>-0.000792</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2014-04-27</td>\n",
       "      <td>3456.235600</td>\n",
       "      <td>3267.940100</td>\n",
       "      <td>3345.577003</td>\n",
       "      <td>3342.600000</td>\n",
       "      <td>3342.139991</td>\n",
       "      <td>3349.014015</td>\n",
       "      <td>65185.944306</td>\n",
       "      <td>-0.116222</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2014-05-04</td>\n",
       "      <td>3179.749600</td>\n",
       "      <td>3038.100000</td>\n",
       "      <td>3127.730000</td>\n",
       "      <td>3127.960000</td>\n",
       "      <td>3125.370100</td>\n",
       "      <td>3130.089900</td>\n",
       "      <td>52273.481419</td>\n",
       "      <td>-0.018700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2014-05-11</td>\n",
       "      <td>2700.630000</td>\n",
       "      <td>2586.048600</td>\n",
       "      <td>2642.228400</td>\n",
       "      <td>2641.499900</td>\n",
       "      <td>2639.780000</td>\n",
       "      <td>2644.676800</td>\n",
       "      <td>41756.114421</td>\n",
       "      <td>0.002997</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2014-05-18</td>\n",
       "      <td>3135.870000</td>\n",
       "      <td>3081.860000</td>\n",
       "      <td>3115.030000</td>\n",
       "      <td>3115.300000</td>\n",
       "      <td>3113.180000</td>\n",
       "      <td>3116.880000</td>\n",
       "      <td>13753.022666</td>\n",
       "      <td>0.023666</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2019-10-13</td>\n",
       "      <td>59848.165344</td>\n",
       "      <td>57259.859801</td>\n",
       "      <td>58692.100000</td>\n",
       "      <td>58682.644212</td>\n",
       "      <td>58687.100000</td>\n",
       "      <td>58697.100000</td>\n",
       "      <td>36053.913340</td>\n",
       "      <td>0.053849</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2019-10-20</td>\n",
       "      <td>57814.346628</td>\n",
       "      <td>55945.200000</td>\n",
       "      <td>56836.750000</td>\n",
       "      <td>56836.656537</td>\n",
       "      <td>56836.400000</td>\n",
       "      <td>56837.100000</td>\n",
       "      <td>29372.365236</td>\n",
       "      <td>-0.006623</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2019-10-27</td>\n",
       "      <td>61446.964307</td>\n",
       "      <td>56107.700000</td>\n",
       "      <td>58667.150000</td>\n",
       "      <td>58671.300000</td>\n",
       "      <td>58665.900000</td>\n",
       "      <td>58668.400000</td>\n",
       "      <td>85698.651856</td>\n",
       "      <td>0.172594</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2019-11-03</td>\n",
       "      <td>66622.200728</td>\n",
       "      <td>63845.357776</td>\n",
       "      <td>65147.300000</td>\n",
       "      <td>65148.200000</td>\n",
       "      <td>65145.800000</td>\n",
       "      <td>65148.800000</td>\n",
       "      <td>37964.570447</td>\n",
       "      <td>-0.040761</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2019-11-10</td>\n",
       "      <td>38011.195482</td>\n",
       "      <td>36666.700000</td>\n",
       "      <td>37375.150000</td>\n",
       "      <td>37376.100000</td>\n",
       "      <td>37374.000000</td>\n",
       "      <td>37376.300000</td>\n",
       "      <td>18042.326351</td>\n",
       "      <td>-0.001386</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>291 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                    High           Low           Mid          Last  \\\n",
       "Date                                                                 \n",
       "2014-04-20   2626.484900   2421.380000   2534.046403   2537.689900   \n",
       "2014-04-27   3456.235600   3267.940100   3345.577003   3342.600000   \n",
       "2014-05-04   3179.749600   3038.100000   3127.730000   3127.960000   \n",
       "2014-05-11   2700.630000   2586.048600   2642.228400   2641.499900   \n",
       "2014-05-18   3135.870000   3081.860000   3115.030000   3115.300000   \n",
       "...                  ...           ...           ...           ...   \n",
       "2019-10-13  59848.165344  57259.859801  58692.100000  58682.644212   \n",
       "2019-10-20  57814.346628  55945.200000  56836.750000  56836.656537   \n",
       "2019-10-27  61446.964307  56107.700000  58667.150000  58671.300000   \n",
       "2019-11-03  66622.200728  63845.357776  65147.300000  65148.200000   \n",
       "2019-11-10  38011.195482  36666.700000  37375.150000  37376.100000   \n",
       "\n",
       "                     Bid           Ask        Volume    Change  \n",
       "Date                                                            \n",
       "2014-04-20   2528.392806   2539.700000  74686.394938 -0.000792  \n",
       "2014-04-27   3342.139991   3349.014015  65185.944306 -0.116222  \n",
       "2014-05-04   3125.370100   3130.089900  52273.481419 -0.018700  \n",
       "2014-05-11   2639.780000   2644.676800  41756.114421  0.002997  \n",
       "2014-05-18   3113.180000   3116.880000  13753.022666  0.023666  \n",
       "...                  ...           ...           ...       ...  \n",
       "2019-10-13  58687.100000  58697.100000  36053.913340  0.053849  \n",
       "2019-10-20  56836.400000  56837.100000  29372.365236 -0.006623  \n",
       "2019-10-27  58665.900000  58668.400000  85698.651856  0.172594  \n",
       "2019-11-03  65145.800000  65148.800000  37964.570447 -0.040761  \n",
       "2019-11-10  37374.000000  37376.300000  18042.326351 -0.001386  \n",
       "\n",
       "[291 rows x 8 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.resample('W').sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f1c96e809e8>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "data[\"Change\"].resample('D').sum().plot(figsize=(12,6))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "import edhec_risk_kit as erk"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f1c970e5240>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "erk.drawdown(data[\"Change\"]).plot(figsize=(12,6))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f1c9424b550>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "erk.drawdown(data[\"Change\"])[\"Drawdown\"].plot(title=\"BTC Drawdown 2014-2019\", figsize=(12,6))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "7.745460747790909"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "erk.kurtosis(data[\"Change\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.12676292751378954"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "erk.skewness(data[\"Change\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.distplot(data[\"Change\"]);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.7093568247597563"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "erk.annualized_volatility(data[\"Change\"].resample('M').sum(),12)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.693790161633554"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "erk.annualized_return(data[\"Change\"].resample('M').sum(),12)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.6848198402073173"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "erk.annualized_return(data[\"Change\"].resample('D').sum(),365)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.09174853089533165"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "erk.cvar_historic(data[\"Change\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.06156150825160318"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "erk.var_gaussian(data[\"Change\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.06084967843140657"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "erk.var_historic(data[\"Change\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.9099824206686413"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "erk.sharpe_ratio(data[\"Change\"].resample('M').sum(),12)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.02888781392439406"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "erk.semideviation(data[\"Change\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.03878311040369009"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[\"Change\"].std()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_btc = data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Multi-Asset Efficient Frontier and Markowitz"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_btc = quandl.get(\"BITFINEX/BTCUSD\")\n",
    "data_btc[\"Change\"] = data_btc[\"Last\"].pct_change()\n",
    "\n",
    "data_eth = quandl.get(\"BITFINEX/ETHUSD\")\n",
    "data_eth[\"Change\"] = data_eth[\"Last\"].pct_change()\n",
    "\n",
    "data_xrp = quandl.get(\"BITFINEX/XRPUSD\")\n",
    "data_xrp[\"Change\"] = data_xrp[\"Last\"].pct_change()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = data.rename(columns={\"Change\": \"ETH\"})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "data[\"BTC\"] = data_btc[\"Change\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "data[\"XRP\"] = data_xrp[\"Change\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ETH\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "BTC\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "XRP\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "\n",
    "for i in data.columns:\n",
    "    print(i)\n",
    "    plt.plot(data[i])\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ETH</th>\n",
       "      <th>BTC</th>\n",
       "      <th>XRP</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>ETH</th>\n",
       "      <td>0.003648</td>\n",
       "      <td>0.001283</td>\n",
       "      <td>0.002650</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BTC</th>\n",
       "      <td>0.001283</td>\n",
       "      <td>0.001675</td>\n",
       "      <td>0.001609</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>XRP</th>\n",
       "      <td>0.002650</td>\n",
       "      <td>0.001609</td>\n",
       "      <td>0.006658</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          ETH       BTC       XRP\n",
       "ETH  0.003648  0.001283  0.002650\n",
       "BTC  0.001283  0.001675  0.001609\n",
       "XRP  0.002650  0.001609  0.006658"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.cov()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ETH</th>\n",
       "      <th>BTC</th>\n",
       "      <th>XRP</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2016-03-14</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0.005553</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-03-15</th>\n",
       "      <td>-0.012379</td>\n",
       "      <td>0.003376</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-03-16</th>\n",
       "      <td>0.002742</td>\n",
       "      <td>0.003124</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-03-17</th>\n",
       "      <td>-0.111875</td>\n",
       "      <td>0.002707</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-03-18</th>\n",
       "      <td>-0.054363</td>\n",
       "      <td>-0.024634</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 ETH       BTC  XRP\n",
       "Date                               \n",
       "2016-03-14       NaN  0.005553  NaN\n",
       "2016-03-15 -0.012379  0.003376  NaN\n",
       "2016-03-16  0.002742  0.003124  NaN\n",
       "2016-03-17 -0.111875  0.002707  NaN\n",
       "2016-03-18 -0.054363 -0.024634  NaN"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 151,
   "metadata": {},
   "outputs": [],
   "source": [
    "import edhec_risk_kit as erk"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "metadata": {},
   "outputs": [],
   "source": [
    "estimated_return = erk.annualized_return(data[\"2017-03\":\"2017-12\"],data[\"2017-03\":\"2017-12\"].shape[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "metadata": {},
   "outputs": [],
   "source": [
    "cov = data.cov()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "ETH    43.025806\n",
       "BTC    11.684201\n",
       "XRP     2.520126\n",
       "dtype: float64"
      ]
     },
     "execution_count": 105,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "estimated_return"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fd335257c88>"
      ]
     },
     "execution_count": 116,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "erk.plot_ef(30,estimated_return,cov,show_cml=True, riskfree=0.05)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "17.169039954180782"
      ]
     },
     "execution_count": 120,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import numpy as np \n",
    "\n",
    "rf = 0.05\n",
    "returns =  erk.annualized_return(data[\"2017-03\":\"2017-12\"], data[\"2017-03\":\"2017-12\"].shape[0])\n",
    "weight = erk.msr(rf, returns, data[\"2017-03\":\"2017-12\"].cov())\n",
    "erk.portfolio_return(weight, returns)\n",
    "erk.portfolio_return(np.array([0.3, 0.3, 0.3]), returns)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ETH</th>\n",
       "      <th>BTC</th>\n",
       "      <th>XRP</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2016-03-14</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0.005553</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-03-15</th>\n",
       "      <td>-0.012379</td>\n",
       "      <td>0.003376</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-03-16</th>\n",
       "      <td>0.002742</td>\n",
       "      <td>0.003124</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-03-17</th>\n",
       "      <td>-0.111875</td>\n",
       "      <td>0.002707</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-03-18</th>\n",
       "      <td>-0.054363</td>\n",
       "      <td>-0.024634</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 ETH       BTC  XRP\n",
       "Date                               \n",
       "2016-03-14       NaN  0.005553  NaN\n",
       "2016-03-15 -0.012379  0.003376  NaN\n",
       "2016-03-16  0.002742  0.003124  NaN\n",
       "2016-03-17 -0.111875  0.002707  NaN\n",
       "2016-03-18 -0.054363 -0.024634  NaN"
      ]
     },
     "execution_count": 121,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[array([2.52077005e-18, 3.45752127e-13, 1.00000000e+00]),\n",
       " array([0.        , 0.19217613, 0.80782387]),\n",
       " array([5.55111512e-17, 3.84352268e-01, 6.15647732e-01]),\n",
       " array([1.38777878e-17, 5.76528406e-01, 4.23471594e-01]),\n",
       " array([6.93889390e-18, 7.68704545e-01, 2.31295455e-01]),\n",
       " array([1.38777878e-17, 9.60880678e-01, 3.91193217e-02]),\n",
       " array([0.04912416, 0.9359255 , 0.01495034]),\n",
       " array([0.1009438, 0.8990562, 0.       ]),\n",
       " array([0.15713481, 0.84286519, 0.        ]),\n",
       " array([0.21332582, 0.78667418, 0.        ]),\n",
       " array([0.26951684, 0.73048316, 0.        ]),\n",
       " array([3.25707849e-01, 6.74292151e-01, 5.55111512e-17]),\n",
       " array([0.38189886, 0.61810114, 0.        ]),\n",
       " array([0.43808987, 0.56191013, 0.        ]),\n",
       " array([4.94280886e-01, 5.05719114e-01, 1.38777878e-17]),\n",
       " array([5.50471899e-01, 4.49528101e-01, 5.55111512e-17]),\n",
       " array([0.60666291, 0.39333709, 0.        ]),\n",
       " array([0.66285392, 0.33714608, 0.        ]),\n",
       " array([0.71904494, 0.28095506, 0.        ]),\n",
       " array([7.75235949e-01, 2.24764051e-01, 1.73472348e-18]),\n",
       " array([8.31426964e-01, 1.68573036e-01, 5.55111512e-17]),\n",
       " array([0.88761798, 0.11238202, 0.        ]),\n",
       " array([9.43808989e-01, 5.61910108e-02, 1.11022302e-16]),\n",
       " array([1.00000000e+00, 0.00000000e+00, 1.55159919e-16])]"
      ]
     },
     "execution_count": 128,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "erk.optimal_weights(24, estimated_return, cov)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 129,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ETH</th>\n",
       "      <th>BTC</th>\n",
       "      <th>XRP</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>ETH</th>\n",
       "      <td>0.003648</td>\n",
       "      <td>0.001283</td>\n",
       "      <td>0.002650</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BTC</th>\n",
       "      <td>0.001283</td>\n",
       "      <td>0.001675</td>\n",
       "      <td>0.001609</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>XRP</th>\n",
       "      <td>0.002650</td>\n",
       "      <td>0.001609</td>\n",
       "      <td>0.006658</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          ETH       BTC       XRP\n",
       "ETH  0.003648  0.001283  0.002650\n",
       "BTC  0.001283  0.001675  0.001609\n",
       "XRP  0.002650  0.001609  0.006658"
      ]
     },
     "execution_count": 129,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.cov()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 150,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "%matplotlib notebook"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "metadata": {},
   "outputs": [],
   "source": [
    "daily_return= data.dropna()\n",
    "q1_return= daily_return.mean()*90\n",
    "q1_cov= daily_return.cov()*90"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 147,
   "metadata": {},
   "outputs": [],
   "source": [
    "pf_returns, pf_volatility, pf_sharpe_ratio, pf_coins_weights=([] for i in range(4))\n",
    "num_portfolios= 5000\n",
    "for portfolio in range(num_portfolios):\n",
    "    weights= np.random.random(data.shape[1])\n",
    "    weights /= np.sum(weights)\n",
    "    returns = np.dot(weights, q1_return)\n",
    "    volatility = np.sqrt(np.dot(weights.T, np.dot(q1_cov, weights)))\n",
    "    sharpe = returns / volatility\n",
    "    pf_coins_weights.append(weights)\n",
    "    pf_returns.append(returns)\n",
    "    pf_volatility.append(volatility)\n",
    "    pf_sharpe_ratio.append(sharpe)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 149,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support. ' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option);\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<img src=\"data:image/png;base64,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\" width=\"1200\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,7))\n",
    "plt.scatter(x=pf_volatility, y=pf_returns, c= pf_sharpe_ratio, cmap='viridis')\n",
    "plt.colorbar(label='Sharpe Ratio')\n",
    "sns.set(style='darkgrid')\n",
    "plt.title('Efficient Frontier')\n",
    "plt.xlabel('Volatility')\n",
    "plt.ylabel('Return')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 155,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The autoreload extension is already loaded. To reload it, use:\n",
      "  %reload_ext autoreload\n"
     ]
    }
   ],
   "source": [
    "%load_ext autoreload\n",
    "%autoreload 2\n",
    "%matplotlib inline\n",
    "\n",
    "import numpy as np\n",
    "from scipy.optimize import minimize\n",
    "import edhec_risk_kit as erk"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 161,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 864x504 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "erk.plot_ef_random(data, 1000, 8)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 162,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1296"
      ]
     },
     "execution_count": 162,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.shape[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 167,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ETH</th>\n",
       "      <th>BTC</th>\n",
       "      <th>XRP</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2016-03-14</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0.005553</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            ETH       BTC  XRP\n",
       "Date                          \n",
       "2016-03-14  NaN  0.005553  NaN"
      ]
     },
     "execution_count": 167,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 170,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ETH</th>\n",
       "      <th>BTC</th>\n",
       "      <th>XRP</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2016-03-14</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-11-09</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            ETH  BTC  XRP\n",
       "Date                     \n",
       "2016-03-14  NaN  NaN  NaN\n",
       "2019-11-09  NaN  NaN  NaN"
      ]
     },
     "execution_count": 170,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[-1:] - data[:1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}