BitcoinProphet.ipynb

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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ds</th>\n",
       "      <th>y</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2010-08-18</td>\n",
       "      <td>0.074000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2010-08-20</td>\n",
       "      <td>0.066700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2010-08-22</td>\n",
       "      <td>0.066400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2010-08-24</td>\n",
       "      <td>0.066889</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2010-08-26</td>\n",
       "      <td>0.066499</td>\n",
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      "text/plain": [
       "          ds         y\n",
       "0 2010-08-18  0.074000\n",
       "1 2010-08-20  0.066700\n",
       "2 2010-08-22  0.066400\n",
       "3 2010-08-24  0.066889\n",
       "4 2010-08-26  0.066499"
      ]
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     "execution_count": 8,
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   "source": [
    "#File created to download Bitcoin stas from Blockchain.info\n",
    "import numpy as np\n",
    "import requests\n",
    "import json\n",
    "import pandas as pd\n",
    "import matplotlib\n",
    "import matplotlib.pyplot as plt\n",
    "from pandas.io.json import json_normalize\n",
    "import matplotlib.mlab as mlab\n",
    "import matplotlib.ticker as mtick\n",
    "\n",
    "matplotlib.style.use('dark_background')\n",
    "\n",
    "#Get prices from blockchain.info\n",
    "priceraw = 'https://api.blockchain.info/charts/market-price?timespan=all&format=json'\n",
    "response = requests.get(priceraw)\n",
    "jasonvar = json.loads(response.content)\n",
    "#Working the request into a DataFrame\n",
    "prices = pd.io.json.json_normalize(jasonvar['values'])\n",
    "prices['x'] = pd.to_datetime(prices['x'], unit='s')\n",
    "prices = prices.set_index('x')\n",
    "prices = prices[(prices.T != 0).any()]\n",
    "\n",
    "prices['ds'] = prices.index\n",
    "prices = prices[['ds','y']].reset_index()\n",
    "prices = prices[['ds','y']]\n",
    "prices.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "ename": "ModuleNotFoundError",
     "evalue": "No module named 'fbprophet'",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mModuleNotFoundError\u001b[0m                       Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-4-3dac74d0cfd4>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[1;32mfrom\u001b[0m \u001b[0mfbprophet\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0mProphet\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;31mModuleNotFoundError\u001b[0m: No module named 'fbprophet'"
     ]
    }
   ],
   "source": [
    "from fbprophet import Prophet"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
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