{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "base_url = 'https://raw.githubusercontent.com/practical-jupyter/sample-data/master/anime/'\n",
    "t4816_csv = os.path.join(base_url, '4816.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</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",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2010-01-04</th>\n",
       "      <td>1600.0</td>\n",
       "      <td>1600.0</td>\n",
       "      <td>1580.0</td>\n",
       "      <td>1597.0</td>\n",
       "      <td>5600.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-05</th>\n",
       "      <td>1597.0</td>\n",
       "      <td>1605.0</td>\n",
       "      <td>1590.0</td>\n",
       "      <td>1600.0</td>\n",
       "      <td>14800.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-06</th>\n",
       "      <td>1600.0</td>\n",
       "      <td>1602.0</td>\n",
       "      <td>1579.0</td>\n",
       "      <td>1601.0</td>\n",
       "      <td>8300.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-07</th>\n",
       "      <td>1600.0</td>\n",
       "      <td>1600.0</td>\n",
       "      <td>1590.0</td>\n",
       "      <td>1595.0</td>\n",
       "      <td>3700.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-08</th>\n",
       "      <td>1599.0</td>\n",
       "      <td>1601.0</td>\n",
       "      <td>1595.0</td>\n",
       "      <td>1600.0</td>\n",
       "      <td>32300.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              Open    High     Low   Close   Volume\n",
       "Date                                               \n",
       "2010-01-04  1600.0  1600.0  1580.0  1597.0   5600.0\n",
       "2010-01-05  1597.0  1605.0  1590.0  1600.0  14800.0\n",
       "2010-01-06  1600.0  1602.0  1579.0  1601.0   8300.0\n",
       "2010-01-07  1600.0  1600.0  1590.0  1595.0   3700.0\n",
       "2010-01-08  1599.0  1601.0  1595.0  1600.0  32300.0"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv(t4816_csv, index_col=0, parse_dates=['Date'])\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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