{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv('walmart_stock.csv', index_col=0, parse_dates=True)"
   ]
  },
  {
   "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>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "      <th>Volume</th>\n",
       "      <th>Adj Close</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",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2012-01-03</th>\n",
       "      <td>59.970001</td>\n",
       "      <td>61.060001</td>\n",
       "      <td>59.869999</td>\n",
       "      <td>60.330002</td>\n",
       "      <td>12668800</td>\n",
       "      <td>52.619235</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012-01-04</th>\n",
       "      <td>60.209999</td>\n",
       "      <td>60.349998</td>\n",
       "      <td>59.470001</td>\n",
       "      <td>59.709999</td>\n",
       "      <td>9593300</td>\n",
       "      <td>52.078475</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012-01-05</th>\n",
       "      <td>59.349998</td>\n",
       "      <td>59.619999</td>\n",
       "      <td>58.369999</td>\n",
       "      <td>59.419998</td>\n",
       "      <td>12768200</td>\n",
       "      <td>51.825539</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012-01-06</th>\n",
       "      <td>59.419998</td>\n",
       "      <td>59.450001</td>\n",
       "      <td>58.869999</td>\n",
       "      <td>59.000000</td>\n",
       "      <td>8069400</td>\n",
       "      <td>51.459220</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012-01-09</th>\n",
       "      <td>59.029999</td>\n",
       "      <td>59.549999</td>\n",
       "      <td>58.919998</td>\n",
       "      <td>59.180000</td>\n",
       "      <td>6679300</td>\n",
       "      <td>51.616215</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-12-23</th>\n",
       "      <td>69.430000</td>\n",
       "      <td>69.750000</td>\n",
       "      <td>69.360001</td>\n",
       "      <td>69.540001</td>\n",
       "      <td>4803900</td>\n",
       "      <td>69.032411</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-12-27</th>\n",
       "      <td>69.300003</td>\n",
       "      <td>69.820000</td>\n",
       "      <td>69.250000</td>\n",
       "      <td>69.699997</td>\n",
       "      <td>4435700</td>\n",
       "      <td>69.191240</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-12-28</th>\n",
       "      <td>69.940002</td>\n",
       "      <td>70.000000</td>\n",
       "      <td>69.260002</td>\n",
       "      <td>69.309998</td>\n",
       "      <td>4875700</td>\n",
       "      <td>68.804087</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-12-29</th>\n",
       "      <td>69.209999</td>\n",
       "      <td>69.519997</td>\n",
       "      <td>69.120003</td>\n",
       "      <td>69.260002</td>\n",
       "      <td>4298400</td>\n",
       "      <td>68.754456</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-12-30</th>\n",
       "      <td>69.120003</td>\n",
       "      <td>69.430000</td>\n",
       "      <td>68.830002</td>\n",
       "      <td>69.120003</td>\n",
       "      <td>6889500</td>\n",
       "      <td>68.615479</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1258 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                 Open       High        Low      Close    Volume  Adj Close\n",
       "Date                                                                       \n",
       "2012-01-03  59.970001  61.060001  59.869999  60.330002  12668800  52.619235\n",
       "2012-01-04  60.209999  60.349998  59.470001  59.709999   9593300  52.078475\n",
       "2012-01-05  59.349998  59.619999  58.369999  59.419998  12768200  51.825539\n",
       "2012-01-06  59.419998  59.450001  58.869999  59.000000   8069400  51.459220\n",
       "2012-01-09  59.029999  59.549999  58.919998  59.180000   6679300  51.616215\n",
       "...               ...        ...        ...        ...       ...        ...\n",
       "2016-12-23  69.430000  69.750000  69.360001  69.540001   4803900  69.032411\n",
       "2016-12-27  69.300003  69.820000  69.250000  69.699997   4435700  69.191240\n",
       "2016-12-28  69.940002  70.000000  69.260002  69.309998   4875700  68.804087\n",
       "2016-12-29  69.209999  69.519997  69.120003  69.260002   4298400  68.754456\n",
       "2016-12-30  69.120003  69.430000  68.830002  69.120003   6889500  68.615479\n",
       "\n",
       "[1258 rows x 6 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "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>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "      <th>Volume</th>\n",
       "      <th>Adj Close</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",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2012-03-29</th>\n",
       "      <td>60.770000</td>\n",
       "      <td>60.950001</td>\n",
       "      <td>60.619999</td>\n",
       "      <td>60.820000</td>\n",
       "      <td>6691700</td>\n",
       "      <td>53.401665</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012-03-30</th>\n",
       "      <td>61.070000</td>\n",
       "      <td>61.419998</td>\n",
       "      <td>60.919998</td>\n",
       "      <td>61.200001</td>\n",
       "      <td>6941400</td>\n",
       "      <td>53.735316</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012-04-02</th>\n",
       "      <td>61.080002</td>\n",
       "      <td>61.490002</td>\n",
       "      <td>60.970001</td>\n",
       "      <td>61.360001</td>\n",
       "      <td>6465900</td>\n",
       "      <td>53.875801</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 Open       High        Low      Close   Volume  Adj Close\n",
       "Date                                                                      \n",
       "2012-03-29  60.770000  60.950001  60.619999  60.820000  6691700  53.401665\n",
       "2012-03-30  61.070000  61.419998  60.919998  61.200001  6941400  53.735316\n",
       "2012-04-02  61.080002  61.490002  60.970001  61.360001  6465900  53.875801"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[\"2012-03-29\":\"2012-04-02\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "ename": "FileNotFoundError",
     "evalue": "[Errno 2] No such file or directory: 'quarterly_data.csv'",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mFileNotFoundError\u001b[0m                         Traceback (most recent call last)",
      "Cell \u001b[0;32mIn [8], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m df2 \u001b[38;5;241m=\u001b[39m \u001b[43mpd\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mread_csv\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mquarterly_data.csv\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mindex_col\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m \u001b[49m\u001b[38;5;241;43m0\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mparse_dates\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mTrue\u001b[39;49;00m\u001b[43m)\u001b[49m\n",
      "File \u001b[0;32m~/.local/share/virtualenvs/Note-Vc8kZtnp/lib64/python3.11/site-packages/pandas/util/_decorators.py:211\u001b[0m, in \u001b[0;36mdeprecate_kwarg.<locals>._deprecate_kwarg.<locals>.wrapper\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m    209\u001b[0m     \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m    210\u001b[0m         kwargs[new_arg_name] \u001b[38;5;241m=\u001b[39m new_arg_value\n\u001b[0;32m--> 211\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mfunc\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n",
      "File \u001b[0;32m~/.local/share/virtualenvs/Note-Vc8kZtnp/lib64/python3.11/site-packages/pandas/util/_decorators.py:331\u001b[0m, in \u001b[0;36mdeprecate_nonkeyword_arguments.<locals>.decorate.<locals>.wrapper\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m    325\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(args) \u001b[38;5;241m>\u001b[39m num_allow_args:\n\u001b[1;32m    326\u001b[0m     warnings\u001b[38;5;241m.\u001b[39mwarn(\n\u001b[1;32m    327\u001b[0m         msg\u001b[38;5;241m.\u001b[39mformat(arguments\u001b[38;5;241m=\u001b[39m_format_argument_list(allow_args)),\n\u001b[1;32m    328\u001b[0m         \u001b[38;5;167;01mFutureWarning\u001b[39;00m,\n\u001b[1;32m    329\u001b[0m         stacklevel\u001b[38;5;241m=\u001b[39mfind_stack_level(),\n\u001b[1;32m    330\u001b[0m     )\n\u001b[0;32m--> 331\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mfunc\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n",
      "File \u001b[0;32m~/.local/share/virtualenvs/Note-Vc8kZtnp/lib64/python3.11/site-packages/pandas/io/parsers/readers.py:950\u001b[0m, in \u001b[0;36mread_csv\u001b[0;34m(filepath_or_buffer, sep, delimiter, header, names, index_col, usecols, squeeze, prefix, mangle_dupe_cols, dtype, engine, converters, true_values, false_values, skipinitialspace, skiprows, skipfooter, nrows, na_values, keep_default_na, na_filter, verbose, skip_blank_lines, parse_dates, infer_datetime_format, keep_date_col, date_parser, dayfirst, cache_dates, iterator, chunksize, compression, thousands, decimal, lineterminator, quotechar, quoting, doublequote, escapechar, comment, encoding, encoding_errors, dialect, error_bad_lines, warn_bad_lines, on_bad_lines, delim_whitespace, low_memory, memory_map, float_precision, storage_options)\u001b[0m\n\u001b[1;32m    935\u001b[0m kwds_defaults \u001b[38;5;241m=\u001b[39m _refine_defaults_read(\n\u001b[1;32m    936\u001b[0m     dialect,\n\u001b[1;32m    937\u001b[0m     delimiter,\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m    946\u001b[0m     defaults\u001b[38;5;241m=\u001b[39m{\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mdelimiter\u001b[39m\u001b[38;5;124m\"\u001b[39m: \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m,\u001b[39m\u001b[38;5;124m\"\u001b[39m},\n\u001b[1;32m    947\u001b[0m )\n\u001b[1;32m    948\u001b[0m kwds\u001b[38;5;241m.\u001b[39mupdate(kwds_defaults)\n\u001b[0;32m--> 950\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43m_read\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfilepath_or_buffer\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mkwds\u001b[49m\u001b[43m)\u001b[49m\n",
      "File \u001b[0;32m~/.local/share/virtualenvs/Note-Vc8kZtnp/lib64/python3.11/site-packages/pandas/io/parsers/readers.py:605\u001b[0m, in \u001b[0;36m_read\u001b[0;34m(filepath_or_buffer, kwds)\u001b[0m\n\u001b[1;32m    602\u001b[0m _validate_names(kwds\u001b[38;5;241m.\u001b[39mget(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mnames\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;28;01mNone\u001b[39;00m))\n\u001b[1;32m    604\u001b[0m \u001b[38;5;66;03m# Create the parser.\u001b[39;00m\n\u001b[0;32m--> 605\u001b[0m parser \u001b[38;5;241m=\u001b[39m \u001b[43mTextFileReader\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfilepath_or_buffer\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwds\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    607\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m chunksize \u001b[38;5;129;01mor\u001b[39;00m iterator:\n\u001b[1;32m    608\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m parser\n",
      "File \u001b[0;32m~/.local/share/virtualenvs/Note-Vc8kZtnp/lib64/python3.11/site-packages/pandas/io/parsers/readers.py:1442\u001b[0m, in \u001b[0;36mTextFileReader.__init__\u001b[0;34m(self, f, engine, **kwds)\u001b[0m\n\u001b[1;32m   1439\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39moptions[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mhas_index_names\u001b[39m\u001b[38;5;124m\"\u001b[39m] \u001b[38;5;241m=\u001b[39m kwds[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mhas_index_names\u001b[39m\u001b[38;5;124m\"\u001b[39m]\n\u001b[1;32m   1441\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mhandles: IOHandles \u001b[38;5;241m|\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[0;32m-> 1442\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_engine \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_make_engine\u001b[49m\u001b[43m(\u001b[49m\u001b[43mf\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mengine\u001b[49m\u001b[43m)\u001b[49m\n",
      "File \u001b[0;32m~/.local/share/virtualenvs/Note-Vc8kZtnp/lib64/python3.11/site-packages/pandas/io/parsers/readers.py:1735\u001b[0m, in \u001b[0;36mTextFileReader._make_engine\u001b[0;34m(self, f, engine)\u001b[0m\n\u001b[1;32m   1733\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mb\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;129;01min\u001b[39;00m mode:\n\u001b[1;32m   1734\u001b[0m         mode \u001b[38;5;241m+\u001b[39m\u001b[38;5;241m=\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mb\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m-> 1735\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mhandles \u001b[38;5;241m=\u001b[39m \u001b[43mget_handle\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m   1736\u001b[0m \u001b[43m    \u001b[49m\u001b[43mf\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1737\u001b[0m \u001b[43m    \u001b[49m\u001b[43mmode\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1738\u001b[0m \u001b[43m    \u001b[49m\u001b[43mencoding\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43moptions\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mencoding\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1739\u001b[0m \u001b[43m    \u001b[49m\u001b[43mcompression\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43moptions\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mcompression\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1740\u001b[0m \u001b[43m    \u001b[49m\u001b[43mmemory_map\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43moptions\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mmemory_map\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1741\u001b[0m \u001b[43m    \u001b[49m\u001b[43mis_text\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mis_text\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1742\u001b[0m \u001b[43m    \u001b[49m\u001b[43merrors\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43moptions\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mencoding_errors\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mstrict\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1743\u001b[0m \u001b[43m    \u001b[49m\u001b[43mstorage_options\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43moptions\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mstorage_options\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1744\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   1745\u001b[0m \u001b[38;5;28;01massert\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mhandles \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[1;32m   1746\u001b[0m f \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mhandles\u001b[38;5;241m.\u001b[39mhandle\n",
      "File \u001b[0;32m~/.local/share/virtualenvs/Note-Vc8kZtnp/lib64/python3.11/site-packages/pandas/io/common.py:856\u001b[0m, in \u001b[0;36mget_handle\u001b[0;34m(path_or_buf, mode, encoding, compression, memory_map, is_text, errors, storage_options)\u001b[0m\n\u001b[1;32m    851\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(handle, \u001b[38;5;28mstr\u001b[39m):\n\u001b[1;32m    852\u001b[0m     \u001b[38;5;66;03m# Check whether the filename is to be opened in binary mode.\u001b[39;00m\n\u001b[1;32m    853\u001b[0m     \u001b[38;5;66;03m# Binary mode does not support 'encoding' and 'newline'.\u001b[39;00m\n\u001b[1;32m    854\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m ioargs\u001b[38;5;241m.\u001b[39mencoding \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mb\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;129;01min\u001b[39;00m ioargs\u001b[38;5;241m.\u001b[39mmode:\n\u001b[1;32m    855\u001b[0m         \u001b[38;5;66;03m# Encoding\u001b[39;00m\n\u001b[0;32m--> 856\u001b[0m         handle \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mopen\u001b[39;49m\u001b[43m(\u001b[49m\n\u001b[1;32m    857\u001b[0m \u001b[43m            \u001b[49m\u001b[43mhandle\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    858\u001b[0m \u001b[43m            \u001b[49m\u001b[43mioargs\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mmode\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    859\u001b[0m \u001b[43m            \u001b[49m\u001b[43mencoding\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mioargs\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mencoding\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    860\u001b[0m \u001b[43m            \u001b[49m\u001b[43merrors\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43merrors\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    861\u001b[0m \u001b[43m            \u001b[49m\u001b[43mnewline\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m    862\u001b[0m \u001b[43m        \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    863\u001b[0m     \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m    864\u001b[0m         \u001b[38;5;66;03m# Binary mode\u001b[39;00m\n\u001b[1;32m    865\u001b[0m         handle \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mopen\u001b[39m(handle, ioargs\u001b[38;5;241m.\u001b[39mmode)\n",
      "\u001b[0;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: 'quarterly_data.csv'"
     ]
    }
   ],
   "source": [
    "df2 = pd.read_csv(\"quarterly_data.csv\", index_col = 0, parse_dates=True)"
   ]
  },
  {
   "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>num</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2012-03-31</th>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012-06-30</th>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012-09-30</th>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012-12-31</th>\n",
       "      <td>40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-03-31</th>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-06-30</th>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-09-30</th>\n",
       "      <td>36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-12-31</th>\n",
       "      <td>43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-03-31</th>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-06-30</th>\n",
       "      <td>34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-09-30</th>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-12-31</th>\n",
       "      <td>47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-03-31</th>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-06-30</th>\n",
       "      <td>44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-09-30</th>\n",
       "      <td>46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-31</th>\n",
       "      <td>46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-03-31</th>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-06-30</th>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-30</th>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-12-31</th>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            num\n",
       "Date           \n",
       "2012-03-31   10\n",
       "2012-06-30   20\n",
       "2012-09-30   30\n",
       "2012-12-31   40\n",
       "2013-03-31   11\n",
       "2013-06-30   23\n",
       "2013-09-30   36\n",
       "2013-12-31   43\n",
       "2014-03-31   45\n",
       "2014-06-30   34\n",
       "2014-09-30   30\n",
       "2014-12-31   47\n",
       "2015-03-31   10\n",
       "2015-06-30   44\n",
       "2015-09-30   46\n",
       "2015-12-31   46\n",
       "2016-03-31   22\n",
       "2016-06-30   23\n",
       "2016-09-30   30\n",
       "2016-12-31   30"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df2"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Approach 1a - Quarterly timeframe, use the quarter end price"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "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>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "      <th>Volume</th>\n",
       "      <th>Adj Close</th>\n",
       "      <th>num</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",
       "      <th>2012-03-31</th>\n",
       "      <td>61.070000</td>\n",
       "      <td>61.419998</td>\n",
       "      <td>60.919998</td>\n",
       "      <td>61.200001</td>\n",
       "      <td>6941400</td>\n",
       "      <td>53.735316</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012-06-30</th>\n",
       "      <td>68.940002</td>\n",
       "      <td>69.720001</td>\n",
       "      <td>68.559998</td>\n",
       "      <td>69.720001</td>\n",
       "      <td>10663400</td>\n",
       "      <td>61.631517</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012-09-30</th>\n",
       "      <td>73.860001</td>\n",
       "      <td>74.059998</td>\n",
       "      <td>73.419998</td>\n",
       "      <td>73.800003</td>\n",
       "      <td>6021000</td>\n",
       "      <td>65.591003</td>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012-12-31</th>\n",
       "      <td>67.489998</td>\n",
       "      <td>68.300003</td>\n",
       "      <td>67.370003</td>\n",
       "      <td>68.230003</td>\n",
       "      <td>7012500</td>\n",
       "      <td>60.977077</td>\n",
       "      <td>40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-03-31</th>\n",
       "      <td>74.839996</td>\n",
       "      <td>74.970001</td>\n",
       "      <td>74.379997</td>\n",
       "      <td>74.830002</td>\n",
       "      <td>7368300</td>\n",
       "      <td>67.306943</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-06-30</th>\n",
       "      <td>75.110001</td>\n",
       "      <td>75.660004</td>\n",
       "      <td>74.449997</td>\n",
       "      <td>74.489998</td>\n",
       "      <td>14548300</td>\n",
       "      <td>67.402994</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-09-30</th>\n",
       "      <td>74.279999</td>\n",
       "      <td>74.599998</td>\n",
       "      <td>73.739998</td>\n",
       "      <td>73.959999</td>\n",
       "      <td>6752500</td>\n",
       "      <td>67.329800</td>\n",
       "      <td>36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-12-31</th>\n",
       "      <td>78.660004</td>\n",
       "      <td>78.870003</td>\n",
       "      <td>78.349998</td>\n",
       "      <td>78.690002</td>\n",
       "      <td>3859100</td>\n",
       "      <td>72.052783</td>\n",
       "      <td>43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-03-31</th>\n",
       "      <td>76.349998</td>\n",
       "      <td>76.779999</td>\n",
       "      <td>76.019997</td>\n",
       "      <td>76.430000</td>\n",
       "      <td>4695600</td>\n",
       "      <td>70.434908</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-06-30</th>\n",
       "      <td>75.400002</td>\n",
       "      <td>75.690002</td>\n",
       "      <td>74.940002</td>\n",
       "      <td>75.070000</td>\n",
       "      <td>6653800</td>\n",
       "      <td>69.609899</td>\n",
       "      <td>34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-09-30</th>\n",
       "      <td>76.040001</td>\n",
       "      <td>76.720001</td>\n",
       "      <td>75.769997</td>\n",
       "      <td>76.470001</td>\n",
       "      <td>5640700</td>\n",
       "      <td>71.375215</td>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-12-31</th>\n",
       "      <td>87.080002</td>\n",
       "      <td>87.440002</td>\n",
       "      <td>85.860001</td>\n",
       "      <td>85.879997</td>\n",
       "      <td>4151400</td>\n",
       "      <td>80.606085</td>\n",
       "      <td>47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-03-31</th>\n",
       "      <td>82.389999</td>\n",
       "      <td>83.040001</td>\n",
       "      <td>82.250000</td>\n",
       "      <td>82.250000</td>\n",
       "      <td>5587700</td>\n",
       "      <td>77.662694</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-06-30</th>\n",
       "      <td>71.809998</td>\n",
       "      <td>71.809998</td>\n",
       "      <td>70.779999</td>\n",
       "      <td>70.930000</td>\n",
       "      <td>11102600</td>\n",
       "      <td>67.396724</td>\n",
       "      <td>44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-09-30</th>\n",
       "      <td>64.430000</td>\n",
       "      <td>64.940002</td>\n",
       "      <td>63.930000</td>\n",
       "      <td>64.839996</td>\n",
       "      <td>7979200</td>\n",
       "      <td>62.030780</td>\n",
       "      <td>46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-31</th>\n",
       "      <td>61.330002</td>\n",
       "      <td>61.720001</td>\n",
       "      <td>61.169998</td>\n",
       "      <td>61.299999</td>\n",
       "      <td>6555100</td>\n",
       "      <td>59.135363</td>\n",
       "      <td>46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-03-31</th>\n",
       "      <td>68.750000</td>\n",
       "      <td>69.190002</td>\n",
       "      <td>68.470001</td>\n",
       "      <td>68.489998</td>\n",
       "      <td>6283500</td>\n",
       "      <td>66.560595</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-06-30</th>\n",
       "      <td>72.570000</td>\n",
       "      <td>73.190002</td>\n",
       "      <td>72.320000</td>\n",
       "      <td>73.019997</td>\n",
       "      <td>8713600</td>\n",
       "      <td>71.482549</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-30</th>\n",
       "      <td>71.500000</td>\n",
       "      <td>72.459999</td>\n",
       "      <td>71.400002</td>\n",
       "      <td>72.120003</td>\n",
       "      <td>9982600</td>\n",
       "      <td>71.084814</td>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-12-31</th>\n",
       "      <td>69.120003</td>\n",
       "      <td>69.430000</td>\n",
       "      <td>68.830002</td>\n",
       "      <td>69.120003</td>\n",
       "      <td>6889500</td>\n",
       "      <td>68.615479</td>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 Open       High        Low      Close    Volume  Adj Close  \\\n",
       "Date                                                                          \n",
       "2012-03-31  61.070000  61.419998  60.919998  61.200001   6941400  53.735316   \n",
       "2012-06-30  68.940002  69.720001  68.559998  69.720001  10663400  61.631517   \n",
       "2012-09-30  73.860001  74.059998  73.419998  73.800003   6021000  65.591003   \n",
       "2012-12-31  67.489998  68.300003  67.370003  68.230003   7012500  60.977077   \n",
       "2013-03-31  74.839996  74.970001  74.379997  74.830002   7368300  67.306943   \n",
       "2013-06-30  75.110001  75.660004  74.449997  74.489998  14548300  67.402994   \n",
       "2013-09-30  74.279999  74.599998  73.739998  73.959999   6752500  67.329800   \n",
       "2013-12-31  78.660004  78.870003  78.349998  78.690002   3859100  72.052783   \n",
       "2014-03-31  76.349998  76.779999  76.019997  76.430000   4695600  70.434908   \n",
       "2014-06-30  75.400002  75.690002  74.940002  75.070000   6653800  69.609899   \n",
       "2014-09-30  76.040001  76.720001  75.769997  76.470001   5640700  71.375215   \n",
       "2014-12-31  87.080002  87.440002  85.860001  85.879997   4151400  80.606085   \n",
       "2015-03-31  82.389999  83.040001  82.250000  82.250000   5587700  77.662694   \n",
       "2015-06-30  71.809998  71.809998  70.779999  70.930000  11102600  67.396724   \n",
       "2015-09-30  64.430000  64.940002  63.930000  64.839996   7979200  62.030780   \n",
       "2015-12-31  61.330002  61.720001  61.169998  61.299999   6555100  59.135363   \n",
       "2016-03-31  68.750000  69.190002  68.470001  68.489998   6283500  66.560595   \n",
       "2016-06-30  72.570000  73.190002  72.320000  73.019997   8713600  71.482549   \n",
       "2016-09-30  71.500000  72.459999  71.400002  72.120003   9982600  71.084814   \n",
       "2016-12-31  69.120003  69.430000  68.830002  69.120003   6889500  68.615479   \n",
       "\n",
       "            num  \n",
       "Date             \n",
       "2012-03-31   10  \n",
       "2012-06-30   20  \n",
       "2012-09-30   30  \n",
       "2012-12-31   40  \n",
       "2013-03-31   11  \n",
       "2013-06-30   23  \n",
       "2013-09-30   36  \n",
       "2013-12-31   43  \n",
       "2014-03-31   45  \n",
       "2014-06-30   34  \n",
       "2014-09-30   30  \n",
       "2014-12-31   47  \n",
       "2015-03-31   10  \n",
       "2015-06-30   44  \n",
       "2015-09-30   46  \n",
       "2015-12-31   46  \n",
       "2016-03-31   22  \n",
       "2016-06-30   23  \n",
       "2016-09-30   30  \n",
       "2016-12-31   30  "
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.resample(rule='Q').last().join(df2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Approach 1b - Quarterly timeframe, use average price"
   ]
  },
  {
   "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>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "      <th>Volume</th>\n",
       "      <th>Adj Close</th>\n",
       "      <th>num</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",
       "      <th>2012-03-31</th>\n",
       "      <td>60.462903</td>\n",
       "      <td>60.807258</td>\n",
       "      <td>60.160484</td>\n",
       "      <td>60.519516</td>\n",
       "      <td>8.850221e+06</td>\n",
       "      <td>52.881839</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012-06-30</th>\n",
       "      <td>62.888889</td>\n",
       "      <td>63.400159</td>\n",
       "      <td>62.592222</td>\n",
       "      <td>63.057143</td>\n",
       "      <td>1.155795e+07</td>\n",
       "      <td>55.594392</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012-09-30</th>\n",
       "      <td>73.081587</td>\n",
       "      <td>73.549682</td>\n",
       "      <td>72.717619</td>\n",
       "      <td>73.174921</td>\n",
       "      <td>7.871587e+06</td>\n",
       "      <td>64.891949</td>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012-12-31</th>\n",
       "      <td>72.174678</td>\n",
       "      <td>72.623226</td>\n",
       "      <td>71.647741</td>\n",
       "      <td>72.079839</td>\n",
       "      <td>8.660958e+06</td>\n",
       "      <td>64.161672</td>\n",
       "      <td>40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-03-31</th>\n",
       "      <td>70.898834</td>\n",
       "      <td>71.393000</td>\n",
       "      <td>70.552666</td>\n",
       "      <td>71.026000</td>\n",
       "      <td>8.482003e+06</td>\n",
       "      <td>63.581880</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-06-30</th>\n",
       "      <td>76.873906</td>\n",
       "      <td>77.417813</td>\n",
       "      <td>76.413281</td>\n",
       "      <td>76.885781</td>\n",
       "      <td>7.656086e+06</td>\n",
       "      <td>69.393600</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-09-30</th>\n",
       "      <td>75.637969</td>\n",
       "      <td>76.030469</td>\n",
       "      <td>75.213594</td>\n",
       "      <td>75.629063</td>\n",
       "      <td>5.796625e+06</td>\n",
       "      <td>68.676662</td>\n",
       "      <td>36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-12-31</th>\n",
       "      <td>77.372656</td>\n",
       "      <td>77.805313</td>\n",
       "      <td>76.924531</td>\n",
       "      <td>77.472813</td>\n",
       "      <td>5.966927e+06</td>\n",
       "      <td>70.651242</td>\n",
       "      <td>43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-03-31</th>\n",
       "      <td>75.339344</td>\n",
       "      <td>75.802787</td>\n",
       "      <td>74.863278</td>\n",
       "      <td>75.337213</td>\n",
       "      <td>7.050402e+06</td>\n",
       "      <td>69.106983</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-06-30</th>\n",
       "      <td>77.036508</td>\n",
       "      <td>77.391111</td>\n",
       "      <td>76.689524</td>\n",
       "      <td>77.066508</td>\n",
       "      <td>6.048765e+06</td>\n",
       "      <td>71.284646</td>\n",
       "      <td>34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-09-30</th>\n",
       "      <td>75.674843</td>\n",
       "      <td>76.062501</td>\n",
       "      <td>75.375938</td>\n",
       "      <td>75.748593</td>\n",
       "      <td>5.550031e+06</td>\n",
       "      <td>70.520795</td>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-12-31</th>\n",
       "      <td>80.952969</td>\n",
       "      <td>81.607500</td>\n",
       "      <td>80.432344</td>\n",
       "      <td>81.059844</td>\n",
       "      <td>7.431025e+06</td>\n",
       "      <td>75.797780</td>\n",
       "      <td>47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-03-31</th>\n",
       "      <td>85.096229</td>\n",
       "      <td>85.699017</td>\n",
       "      <td>84.491803</td>\n",
       "      <td>85.107213</td>\n",
       "      <td>7.209713e+06</td>\n",
       "      <td>79.994746</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-06-30</th>\n",
       "      <td>76.678730</td>\n",
       "      <td>77.066191</td>\n",
       "      <td>76.191111</td>\n",
       "      <td>76.492540</td>\n",
       "      <td>7.481765e+06</td>\n",
       "      <td>72.501821</td>\n",
       "      <td>44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-09-30</th>\n",
       "      <td>68.884375</td>\n",
       "      <td>69.366094</td>\n",
       "      <td>68.328594</td>\n",
       "      <td>68.825313</td>\n",
       "      <td>8.883412e+06</td>\n",
       "      <td>65.666534</td>\n",
       "      <td>46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-31</th>\n",
       "      <td>60.269688</td>\n",
       "      <td>60.780156</td>\n",
       "      <td>59.776563</td>\n",
       "      <td>60.193281</td>\n",
       "      <td>1.247800e+07</td>\n",
       "      <td>57.743235</td>\n",
       "      <td>46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-03-31</th>\n",
       "      <td>65.564754</td>\n",
       "      <td>66.346065</td>\n",
       "      <td>65.015574</td>\n",
       "      <td>65.776557</td>\n",
       "      <td>1.198041e+07</td>\n",
       "      <td>63.580834</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-06-30</th>\n",
       "      <td>69.350000</td>\n",
       "      <td>69.857656</td>\n",
       "      <td>68.918906</td>\n",
       "      <td>69.438437</td>\n",
       "      <td>8.751062e+06</td>\n",
       "      <td>67.762903</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-30</th>\n",
       "      <td>72.808594</td>\n",
       "      <td>73.230938</td>\n",
       "      <td>72.371719</td>\n",
       "      <td>72.782812</td>\n",
       "      <td>8.236991e+06</td>\n",
       "      <td>71.530300</td>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-12-31</th>\n",
       "      <td>70.026985</td>\n",
       "      <td>70.478889</td>\n",
       "      <td>69.609048</td>\n",
       "      <td>70.021111</td>\n",
       "      <td>8.628798e+06</td>\n",
       "      <td>69.150314</td>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 Open       High        Low      Close        Volume  \\\n",
       "Date                                                                   \n",
       "2012-03-31  60.462903  60.807258  60.160484  60.519516  8.850221e+06   \n",
       "2012-06-30  62.888889  63.400159  62.592222  63.057143  1.155795e+07   \n",
       "2012-09-30  73.081587  73.549682  72.717619  73.174921  7.871587e+06   \n",
       "2012-12-31  72.174678  72.623226  71.647741  72.079839  8.660958e+06   \n",
       "2013-03-31  70.898834  71.393000  70.552666  71.026000  8.482003e+06   \n",
       "2013-06-30  76.873906  77.417813  76.413281  76.885781  7.656086e+06   \n",
       "2013-09-30  75.637969  76.030469  75.213594  75.629063  5.796625e+06   \n",
       "2013-12-31  77.372656  77.805313  76.924531  77.472813  5.966927e+06   \n",
       "2014-03-31  75.339344  75.802787  74.863278  75.337213  7.050402e+06   \n",
       "2014-06-30  77.036508  77.391111  76.689524  77.066508  6.048765e+06   \n",
       "2014-09-30  75.674843  76.062501  75.375938  75.748593  5.550031e+06   \n",
       "2014-12-31  80.952969  81.607500  80.432344  81.059844  7.431025e+06   \n",
       "2015-03-31  85.096229  85.699017  84.491803  85.107213  7.209713e+06   \n",
       "2015-06-30  76.678730  77.066191  76.191111  76.492540  7.481765e+06   \n",
       "2015-09-30  68.884375  69.366094  68.328594  68.825313  8.883412e+06   \n",
       "2015-12-31  60.269688  60.780156  59.776563  60.193281  1.247800e+07   \n",
       "2016-03-31  65.564754  66.346065  65.015574  65.776557  1.198041e+07   \n",
       "2016-06-30  69.350000  69.857656  68.918906  69.438437  8.751062e+06   \n",
       "2016-09-30  72.808594  73.230938  72.371719  72.782812  8.236991e+06   \n",
       "2016-12-31  70.026985  70.478889  69.609048  70.021111  8.628798e+06   \n",
       "\n",
       "            Adj Close  num  \n",
       "Date                        \n",
       "2012-03-31  52.881839   10  \n",
       "2012-06-30  55.594392   20  \n",
       "2012-09-30  64.891949   30  \n",
       "2012-12-31  64.161672   40  \n",
       "2013-03-31  63.581880   11  \n",
       "2013-06-30  69.393600   23  \n",
       "2013-09-30  68.676662   36  \n",
       "2013-12-31  70.651242   43  \n",
       "2014-03-31  69.106983   45  \n",
       "2014-06-30  71.284646   34  \n",
       "2014-09-30  70.520795   30  \n",
       "2014-12-31  75.797780   47  \n",
       "2015-03-31  79.994746   10  \n",
       "2015-06-30  72.501821   44  \n",
       "2015-09-30  65.666534   46  \n",
       "2015-12-31  57.743235   46  \n",
       "2016-03-31  63.580834   22  \n",
       "2016-06-30  67.762903   23  \n",
       "2016-09-30  71.530300   30  \n",
       "2016-12-31  69.150314   30  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.resample(rule='Q').mean().join(df2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Open         6.046290e+01\n",
       "High         6.080726e+01\n",
       "Low          6.016048e+01\n",
       "Close        6.051952e+01\n",
       "Volume       8.850221e+06\n",
       "Adj Close    5.288184e+01\n",
       "dtype: float64"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[\"2012-01-01\":\"2012-03-31\"].mean()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Can use other aggregation function"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "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>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "      <th>Volume</th>\n",
       "      <th>Adj Close</th>\n",
       "      <th>num</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",
       "      <th>2012-03-31</th>\n",
       "      <td>60.525002</td>\n",
       "      <td>60.925002</td>\n",
       "      <td>60.390000</td>\n",
       "      <td>60.725001</td>\n",
       "      <td>7506500.0</td>\n",
       "      <td>53.210409</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012-06-30</th>\n",
       "      <td>61.700001</td>\n",
       "      <td>62.490002</td>\n",
       "      <td>61.549999</td>\n",
       "      <td>62.060001</td>\n",
       "      <td>10036900.0</td>\n",
       "      <td>54.524268</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012-09-30</th>\n",
       "      <td>73.050003</td>\n",
       "      <td>73.949997</td>\n",
       "      <td>72.940002</td>\n",
       "      <td>73.510002</td>\n",
       "      <td>7407400.0</td>\n",
       "      <td>65.235495</td>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012-12-31</th>\n",
       "      <td>72.095001</td>\n",
       "      <td>72.594997</td>\n",
       "      <td>71.619999</td>\n",
       "      <td>72.135002</td>\n",
       "      <td>7439350.0</td>\n",
       "      <td>64.182305</td>\n",
       "      <td>40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-03-31</th>\n",
       "      <td>70.490002</td>\n",
       "      <td>71.329998</td>\n",
       "      <td>70.370002</td>\n",
       "      <td>70.774998</td>\n",
       "      <td>7102200.0</td>\n",
       "      <td>63.251536</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-06-30</th>\n",
       "      <td>77.215000</td>\n",
       "      <td>77.850003</td>\n",
       "      <td>76.680001</td>\n",
       "      <td>77.299999</td>\n",
       "      <td>7244050.0</td>\n",
       "      <td>69.646462</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-09-30</th>\n",
       "      <td>75.534999</td>\n",
       "      <td>76.439999</td>\n",
       "      <td>75.049999</td>\n",
       "      <td>75.790001</td>\n",
       "      <td>5459000.0</td>\n",
       "      <td>68.995750</td>\n",
       "      <td>36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-12-31</th>\n",
       "      <td>77.735000</td>\n",
       "      <td>78.104999</td>\n",
       "      <td>77.275002</td>\n",
       "      <td>77.905002</td>\n",
       "      <td>5887050.0</td>\n",
       "      <td>71.168100</td>\n",
       "      <td>43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-03-31</th>\n",
       "      <td>74.839996</td>\n",
       "      <td>75.330002</td>\n",
       "      <td>74.449997</td>\n",
       "      <td>74.919998</td>\n",
       "      <td>6511200.0</td>\n",
       "      <td>68.793051</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-06-30</th>\n",
       "      <td>77.000000</td>\n",
       "      <td>77.379997</td>\n",
       "      <td>76.540001</td>\n",
       "      <td>77.010002</td>\n",
       "      <td>5652300.0</td>\n",
       "      <td>71.186249</td>\n",
       "      <td>34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-09-30</th>\n",
       "      <td>75.904999</td>\n",
       "      <td>76.215000</td>\n",
       "      <td>75.625000</td>\n",
       "      <td>75.935001</td>\n",
       "      <td>4979900.0</td>\n",
       "      <td>70.777852</td>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-12-31</th>\n",
       "      <td>81.770001</td>\n",
       "      <td>83.105000</td>\n",
       "      <td>81.479999</td>\n",
       "      <td>82.950001</td>\n",
       "      <td>6778750.0</td>\n",
       "      <td>77.423487</td>\n",
       "      <td>47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-03-31</th>\n",
       "      <td>85.430000</td>\n",
       "      <td>85.970001</td>\n",
       "      <td>84.900002</td>\n",
       "      <td>85.650002</td>\n",
       "      <td>6505700.0</td>\n",
       "      <td>80.390214</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-06-30</th>\n",
       "      <td>77.830002</td>\n",
       "      <td>78.360001</td>\n",
       "      <td>77.300003</td>\n",
       "      <td>77.879997</td>\n",
       "      <td>6815000.0</td>\n",
       "      <td>73.536418</td>\n",
       "      <td>44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-09-30</th>\n",
       "      <td>71.314999</td>\n",
       "      <td>71.700001</td>\n",
       "      <td>70.685001</td>\n",
       "      <td>71.314999</td>\n",
       "      <td>7721700.0</td>\n",
       "      <td>67.919326</td>\n",
       "      <td>46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-31</th>\n",
       "      <td>59.405000</td>\n",
       "      <td>60.220001</td>\n",
       "      <td>59.000000</td>\n",
       "      <td>59.555000</td>\n",
       "      <td>10406450.0</td>\n",
       "      <td>57.309593</td>\n",
       "      <td>46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-03-31</th>\n",
       "      <td>66.139999</td>\n",
       "      <td>66.669998</td>\n",
       "      <td>65.500000</td>\n",
       "      <td>66.339996</td>\n",
       "      <td>11360500.0</td>\n",
       "      <td>63.997387</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-06-30</th>\n",
       "      <td>69.479999</td>\n",
       "      <td>69.895001</td>\n",
       "      <td>68.965000</td>\n",
       "      <td>69.444999</td>\n",
       "      <td>7437400.0</td>\n",
       "      <td>67.627985</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-30</th>\n",
       "      <td>72.959999</td>\n",
       "      <td>73.279999</td>\n",
       "      <td>72.459999</td>\n",
       "      <td>72.935001</td>\n",
       "      <td>7381850.0</td>\n",
       "      <td>71.712602</td>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-12-31</th>\n",
       "      <td>69.940002</td>\n",
       "      <td>70.389999</td>\n",
       "      <td>69.470001</td>\n",
       "      <td>69.940002</td>\n",
       "      <td>7621300.0</td>\n",
       "      <td>69.032411</td>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 Open       High        Low      Close      Volume  Adj Close  \\\n",
       "Date                                                                            \n",
       "2012-03-31  60.525002  60.925002  60.390000  60.725001   7506500.0  53.210409   \n",
       "2012-06-30  61.700001  62.490002  61.549999  62.060001  10036900.0  54.524268   \n",
       "2012-09-30  73.050003  73.949997  72.940002  73.510002   7407400.0  65.235495   \n",
       "2012-12-31  72.095001  72.594997  71.619999  72.135002   7439350.0  64.182305   \n",
       "2013-03-31  70.490002  71.329998  70.370002  70.774998   7102200.0  63.251536   \n",
       "2013-06-30  77.215000  77.850003  76.680001  77.299999   7244050.0  69.646462   \n",
       "2013-09-30  75.534999  76.439999  75.049999  75.790001   5459000.0  68.995750   \n",
       "2013-12-31  77.735000  78.104999  77.275002  77.905002   5887050.0  71.168100   \n",
       "2014-03-31  74.839996  75.330002  74.449997  74.919998   6511200.0  68.793051   \n",
       "2014-06-30  77.000000  77.379997  76.540001  77.010002   5652300.0  71.186249   \n",
       "2014-09-30  75.904999  76.215000  75.625000  75.935001   4979900.0  70.777852   \n",
       "2014-12-31  81.770001  83.105000  81.479999  82.950001   6778750.0  77.423487   \n",
       "2015-03-31  85.430000  85.970001  84.900002  85.650002   6505700.0  80.390214   \n",
       "2015-06-30  77.830002  78.360001  77.300003  77.879997   6815000.0  73.536418   \n",
       "2015-09-30  71.314999  71.700001  70.685001  71.314999   7721700.0  67.919326   \n",
       "2015-12-31  59.405000  60.220001  59.000000  59.555000  10406450.0  57.309593   \n",
       "2016-03-31  66.139999  66.669998  65.500000  66.339996  11360500.0  63.997387   \n",
       "2016-06-30  69.479999  69.895001  68.965000  69.444999   7437400.0  67.627985   \n",
       "2016-09-30  72.959999  73.279999  72.459999  72.935001   7381850.0  71.712602   \n",
       "2016-12-31  69.940002  70.389999  69.470001  69.940002   7621300.0  69.032411   \n",
       "\n",
       "            num  \n",
       "Date             \n",
       "2012-03-31   10  \n",
       "2012-06-30   20  \n",
       "2012-09-30   30  \n",
       "2012-12-31   40  \n",
       "2013-03-31   11  \n",
       "2013-06-30   23  \n",
       "2013-09-30   36  \n",
       "2013-12-31   43  \n",
       "2014-03-31   45  \n",
       "2014-06-30   34  \n",
       "2014-09-30   30  \n",
       "2014-12-31   47  \n",
       "2015-03-31   10  \n",
       "2015-06-30   44  \n",
       "2015-09-30   46  \n",
       "2015-12-31   46  \n",
       "2016-03-31   22  \n",
       "2016-06-30   23  \n",
       "2016-09-30   30  \n",
       "2016-12-31   30  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.resample(rule='Q').median().join(df2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Approach 2 - use Daily timeframe, forward fill value"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "first a wrong way of doing it, because the stock data doesn't have date of weekend"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "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>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "      <th>Volume</th>\n",
       "      <th>Adj Close</th>\n",
       "      <th>num</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",
       "      <th>2012-01-03</th>\n",
       "      <td>59.970001</td>\n",
       "      <td>61.060001</td>\n",
       "      <td>59.869999</td>\n",
       "      <td>60.330002</td>\n",
       "      <td>12668800</td>\n",
       "      <td>52.619235</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012-01-04</th>\n",
       "      <td>60.209999</td>\n",
       "      <td>60.349998</td>\n",
       "      <td>59.470001</td>\n",
       "      <td>59.709999</td>\n",
       "      <td>9593300</td>\n",
       "      <td>52.078475</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012-01-05</th>\n",
       "      <td>59.349998</td>\n",
       "      <td>59.619999</td>\n",
       "      <td>58.369999</td>\n",
       "      <td>59.419998</td>\n",
       "      <td>12768200</td>\n",
       "      <td>51.825539</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012-01-06</th>\n",
       "      <td>59.419998</td>\n",
       "      <td>59.450001</td>\n",
       "      <td>58.869999</td>\n",
       "      <td>59.000000</td>\n",
       "      <td>8069400</td>\n",
       "      <td>51.459220</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012-01-09</th>\n",
       "      <td>59.029999</td>\n",
       "      <td>59.549999</td>\n",
       "      <td>58.919998</td>\n",
       "      <td>59.180000</td>\n",
       "      <td>6679300</td>\n",
       "      <td>51.616215</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\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",
       "      <th>2016-12-23</th>\n",
       "      <td>69.430000</td>\n",
       "      <td>69.750000</td>\n",
       "      <td>69.360001</td>\n",
       "      <td>69.540001</td>\n",
       "      <td>4803900</td>\n",
       "      <td>69.032411</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-12-27</th>\n",
       "      <td>69.300003</td>\n",
       "      <td>69.820000</td>\n",
       "      <td>69.250000</td>\n",
       "      <td>69.699997</td>\n",
       "      <td>4435700</td>\n",
       "      <td>69.191240</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-12-28</th>\n",
       "      <td>69.940002</td>\n",
       "      <td>70.000000</td>\n",
       "      <td>69.260002</td>\n",
       "      <td>69.309998</td>\n",
       "      <td>4875700</td>\n",
       "      <td>68.804087</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-12-29</th>\n",
       "      <td>69.209999</td>\n",
       "      <td>69.519997</td>\n",
       "      <td>69.120003</td>\n",
       "      <td>69.260002</td>\n",
       "      <td>4298400</td>\n",
       "      <td>68.754456</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-12-30</th>\n",
       "      <td>69.120003</td>\n",
       "      <td>69.430000</td>\n",
       "      <td>68.830002</td>\n",
       "      <td>69.120003</td>\n",
       "      <td>6889500</td>\n",
       "      <td>68.615479</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1258 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                 Open       High        Low      Close    Volume  Adj Close  \\\n",
       "Date                                                                          \n",
       "2012-01-03  59.970001  61.060001  59.869999  60.330002  12668800  52.619235   \n",
       "2012-01-04  60.209999  60.349998  59.470001  59.709999   9593300  52.078475   \n",
       "2012-01-05  59.349998  59.619999  58.369999  59.419998  12768200  51.825539   \n",
       "2012-01-06  59.419998  59.450001  58.869999  59.000000   8069400  51.459220   \n",
       "2012-01-09  59.029999  59.549999  58.919998  59.180000   6679300  51.616215   \n",
       "...               ...        ...        ...        ...       ...        ...   \n",
       "2016-12-23  69.430000  69.750000  69.360001  69.540001   4803900  69.032411   \n",
       "2016-12-27  69.300003  69.820000  69.250000  69.699997   4435700  69.191240   \n",
       "2016-12-28  69.940002  70.000000  69.260002  69.309998   4875700  68.804087   \n",
       "2016-12-29  69.209999  69.519997  69.120003  69.260002   4298400  68.754456   \n",
       "2016-12-30  69.120003  69.430000  68.830002  69.120003   6889500  68.615479   \n",
       "\n",
       "            num  \n",
       "Date             \n",
       "2012-01-03  NaN  \n",
       "2012-01-04  NaN  \n",
       "2012-01-05  NaN  \n",
       "2012-01-06  NaN  \n",
       "2012-01-09  NaN  \n",
       "...         ...  \n",
       "2016-12-23  NaN  \n",
       "2016-12-27  NaN  \n",
       "2016-12-28  NaN  \n",
       "2016-12-29  NaN  \n",
       "2016-12-30  NaN  \n",
       "\n",
       "[1258 rows x 7 columns]"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.join(df2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "ffill_df = df.join(df2).fillna(method=\"ffill\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "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>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "      <th>Volume</th>\n",
       "      <th>Adj Close</th>\n",
       "      <th>num</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",
       "      <th>2012-01-03</th>\n",
       "      <td>59.970001</td>\n",
       "      <td>61.060001</td>\n",
       "      <td>59.869999</td>\n",
       "      <td>60.330002</td>\n",
       "      <td>12668800</td>\n",
       "      <td>52.619235</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012-01-04</th>\n",
       "      <td>60.209999</td>\n",
       "      <td>60.349998</td>\n",
       "      <td>59.470001</td>\n",
       "      <td>59.709999</td>\n",
       "      <td>9593300</td>\n",
       "      <td>52.078475</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012-01-05</th>\n",
       "      <td>59.349998</td>\n",
       "      <td>59.619999</td>\n",
       "      <td>58.369999</td>\n",
       "      <td>59.419998</td>\n",
       "      <td>12768200</td>\n",
       "      <td>51.825539</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012-01-06</th>\n",
       "      <td>59.419998</td>\n",
       "      <td>59.450001</td>\n",
       "      <td>58.869999</td>\n",
       "      <td>59.000000</td>\n",
       "      <td>8069400</td>\n",
       "      <td>51.459220</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012-01-09</th>\n",
       "      <td>59.029999</td>\n",
       "      <td>59.549999</td>\n",
       "      <td>58.919998</td>\n",
       "      <td>59.180000</td>\n",
       "      <td>6679300</td>\n",
       "      <td>51.616215</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\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",
       "      <th>2016-12-23</th>\n",
       "      <td>69.430000</td>\n",
       "      <td>69.750000</td>\n",
       "      <td>69.360001</td>\n",
       "      <td>69.540001</td>\n",
       "      <td>4803900</td>\n",
       "      <td>69.032411</td>\n",
       "      <td>30.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-12-27</th>\n",
       "      <td>69.300003</td>\n",
       "      <td>69.820000</td>\n",
       "      <td>69.250000</td>\n",
       "      <td>69.699997</td>\n",
       "      <td>4435700</td>\n",
       "      <td>69.191240</td>\n",
       "      <td>30.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-12-28</th>\n",
       "      <td>69.940002</td>\n",
       "      <td>70.000000</td>\n",
       "      <td>69.260002</td>\n",
       "      <td>69.309998</td>\n",
       "      <td>4875700</td>\n",
       "      <td>68.804087</td>\n",
       "      <td>30.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-12-29</th>\n",
       "      <td>69.209999</td>\n",
       "      <td>69.519997</td>\n",
       "      <td>69.120003</td>\n",
       "      <td>69.260002</td>\n",
       "      <td>4298400</td>\n",
       "      <td>68.754456</td>\n",
       "      <td>30.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-12-30</th>\n",
       "      <td>69.120003</td>\n",
       "      <td>69.430000</td>\n",
       "      <td>68.830002</td>\n",
       "      <td>69.120003</td>\n",
       "      <td>6889500</td>\n",
       "      <td>68.615479</td>\n",
       "      <td>30.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1258 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                 Open       High        Low      Close    Volume  Adj Close  \\\n",
       "Date                                                                          \n",
       "2012-01-03  59.970001  61.060001  59.869999  60.330002  12668800  52.619235   \n",
       "2012-01-04  60.209999  60.349998  59.470001  59.709999   9593300  52.078475   \n",
       "2012-01-05  59.349998  59.619999  58.369999  59.419998  12768200  51.825539   \n",
       "2012-01-06  59.419998  59.450001  58.869999  59.000000   8069400  51.459220   \n",
       "2012-01-09  59.029999  59.549999  58.919998  59.180000   6679300  51.616215   \n",
       "...               ...        ...        ...        ...       ...        ...   \n",
       "2016-12-23  69.430000  69.750000  69.360001  69.540001   4803900  69.032411   \n",
       "2016-12-27  69.300003  69.820000  69.250000  69.699997   4435700  69.191240   \n",
       "2016-12-28  69.940002  70.000000  69.260002  69.309998   4875700  68.804087   \n",
       "2016-12-29  69.209999  69.519997  69.120003  69.260002   4298400  68.754456   \n",
       "2016-12-30  69.120003  69.430000  68.830002  69.120003   6889500  68.615479   \n",
       "\n",
       "             num  \n",
       "Date              \n",
       "2012-01-03   NaN  \n",
       "2012-01-04   NaN  \n",
       "2012-01-05   NaN  \n",
       "2012-01-06   NaN  \n",
       "2012-01-09   NaN  \n",
       "...          ...  \n",
       "2016-12-23  30.0  \n",
       "2016-12-27  30.0  \n",
       "2016-12-28  30.0  \n",
       "2016-12-29  30.0  \n",
       "2016-12-30  30.0  \n",
       "\n",
       "[1258 rows x 7 columns]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ffill_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "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>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "      <th>Volume</th>\n",
       "      <th>Adj Close</th>\n",
       "      <th>num</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",
       "      <th>2012-03-28</th>\n",
       "      <td>61.150002</td>\n",
       "      <td>61.480000</td>\n",
       "      <td>60.980000</td>\n",
       "      <td>61.189999</td>\n",
       "      <td>7124000</td>\n",
       "      <td>53.726534</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012-03-29</th>\n",
       "      <td>60.770000</td>\n",
       "      <td>60.950001</td>\n",
       "      <td>60.619999</td>\n",
       "      <td>60.820000</td>\n",
       "      <td>6691700</td>\n",
       "      <td>53.401665</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012-03-30</th>\n",
       "      <td>61.070000</td>\n",
       "      <td>61.419998</td>\n",
       "      <td>60.919998</td>\n",
       "      <td>61.200001</td>\n",
       "      <td>6941400</td>\n",
       "      <td>53.735316</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012-04-02</th>\n",
       "      <td>61.080002</td>\n",
       "      <td>61.490002</td>\n",
       "      <td>60.970001</td>\n",
       "      <td>61.360001</td>\n",
       "      <td>6465900</td>\n",
       "      <td>53.875801</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012-04-03</th>\n",
       "      <td>61.139999</td>\n",
       "      <td>61.410000</td>\n",
       "      <td>60.240002</td>\n",
       "      <td>60.650002</td>\n",
       "      <td>11180100</td>\n",
       "      <td>53.252402</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 Open       High        Low      Close    Volume  Adj Close  \\\n",
       "Date                                                                          \n",
       "2012-03-28  61.150002  61.480000  60.980000  61.189999   7124000  53.726534   \n",
       "2012-03-29  60.770000  60.950001  60.619999  60.820000   6691700  53.401665   \n",
       "2012-03-30  61.070000  61.419998  60.919998  61.200001   6941400  53.735316   \n",
       "2012-04-02  61.080002  61.490002  60.970001  61.360001   6465900  53.875801   \n",
       "2012-04-03  61.139999  61.410000  60.240002  60.650002  11180100  53.252402   \n",
       "\n",
       "            num  \n",
       "Date             \n",
       "2012-03-28  NaN  \n",
       "2012-03-29  NaN  \n",
       "2012-03-30  NaN  \n",
       "2012-04-02  NaN  \n",
       "2012-04-03  NaN  "
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ffill_df[\"2012-03-28\":\"2012-04-03\"]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "One way to solve the problem (there are many other way to fix it)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_all_date = df.reindex(pd.date_range(\"2012-01-03\", \"2016-12-31\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Open        NaN\n",
       "High        NaN\n",
       "Low         NaN\n",
       "Close       NaN\n",
       "Volume      NaN\n",
       "Adj Close   NaN\n",
       "Name: 2012-03-31 00:00:00, dtype: float64"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_all_date.loc[\"2012-03-31\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "ffill_df = df_all_date.join(df2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "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>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "      <th>Volume</th>\n",
       "      <th>Adj Close</th>\n",
       "      <th>num</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2012-03-28</th>\n",
       "      <td>61.150002</td>\n",
       "      <td>61.480000</td>\n",
       "      <td>60.980000</td>\n",
       "      <td>61.189999</td>\n",
       "      <td>7124000.0</td>\n",
       "      <td>53.726534</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012-03-29</th>\n",
       "      <td>60.770000</td>\n",
       "      <td>60.950001</td>\n",
       "      <td>60.619999</td>\n",
       "      <td>60.820000</td>\n",
       "      <td>6691700.0</td>\n",
       "      <td>53.401665</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012-03-30</th>\n",
       "      <td>61.070000</td>\n",
       "      <td>61.419998</td>\n",
       "      <td>60.919998</td>\n",
       "      <td>61.200001</td>\n",
       "      <td>6941400.0</td>\n",
       "      <td>53.735316</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012-03-31</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012-04-01</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012-04-02</th>\n",
       "      <td>61.080002</td>\n",
       "      <td>61.490002</td>\n",
       "      <td>60.970001</td>\n",
       "      <td>61.360001</td>\n",
       "      <td>6465900.0</td>\n",
       "      <td>53.875801</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012-04-03</th>\n",
       "      <td>61.139999</td>\n",
       "      <td>61.410000</td>\n",
       "      <td>60.240002</td>\n",
       "      <td>60.650002</td>\n",
       "      <td>11180100.0</td>\n",
       "      <td>53.252402</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012-04-04</th>\n",
       "      <td>60.529999</td>\n",
       "      <td>60.590000</td>\n",
       "      <td>60.020000</td>\n",
       "      <td>60.259998</td>\n",
       "      <td>10851700.0</td>\n",
       "      <td>52.909968</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012-04-05</th>\n",
       "      <td>60.200001</td>\n",
       "      <td>60.689999</td>\n",
       "      <td>60.070000</td>\n",
       "      <td>60.669998</td>\n",
       "      <td>6528700.0</td>\n",
       "      <td>53.269959</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 Open       High        Low      Close      Volume  Adj Close  \\\n",
       "2012-03-28  61.150002  61.480000  60.980000  61.189999   7124000.0  53.726534   \n",
       "2012-03-29  60.770000  60.950001  60.619999  60.820000   6691700.0  53.401665   \n",
       "2012-03-30  61.070000  61.419998  60.919998  61.200001   6941400.0  53.735316   \n",
       "2012-03-31        NaN        NaN        NaN        NaN         NaN        NaN   \n",
       "2012-04-01        NaN        NaN        NaN        NaN         NaN        NaN   \n",
       "2012-04-02  61.080002  61.490002  60.970001  61.360001   6465900.0  53.875801   \n",
       "2012-04-03  61.139999  61.410000  60.240002  60.650002  11180100.0  53.252402   \n",
       "2012-04-04  60.529999  60.590000  60.020000  60.259998  10851700.0  52.909968   \n",
       "2012-04-05  60.200001  60.689999  60.070000  60.669998   6528700.0  53.269959   \n",
       "\n",
       "             num  \n",
       "2012-03-28   NaN  \n",
       "2012-03-29   NaN  \n",
       "2012-03-30   NaN  \n",
       "2012-03-31  10.0  \n",
       "2012-04-01   NaN  \n",
       "2012-04-02   NaN  \n",
       "2012-04-03   NaN  \n",
       "2012-04-04   NaN  \n",
       "2012-04-05   NaN  "
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ffill_df.loc[\"2012-03-28\":\"2012-04-05\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "ffill_df[\"num\"] = ffill_df[\"num\"].fillna(method=\"ffill\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "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>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "      <th>Volume</th>\n",
       "      <th>Adj Close</th>\n",
       "      <th>num</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2012-03-28</th>\n",
       "      <td>61.150002</td>\n",
       "      <td>61.480000</td>\n",
       "      <td>60.980000</td>\n",
       "      <td>61.189999</td>\n",
       "      <td>7124000.0</td>\n",
       "      <td>53.726534</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012-03-29</th>\n",
       "      <td>60.770000</td>\n",
       "      <td>60.950001</td>\n",
       "      <td>60.619999</td>\n",
       "      <td>60.820000</td>\n",
       "      <td>6691700.0</td>\n",
       "      <td>53.401665</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012-03-30</th>\n",
       "      <td>61.070000</td>\n",
       "      <td>61.419998</td>\n",
       "      <td>60.919998</td>\n",
       "      <td>61.200001</td>\n",
       "      <td>6941400.0</td>\n",
       "      <td>53.735316</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012-03-31</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012-04-01</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012-04-02</th>\n",
       "      <td>61.080002</td>\n",
       "      <td>61.490002</td>\n",
       "      <td>60.970001</td>\n",
       "      <td>61.360001</td>\n",
       "      <td>6465900.0</td>\n",
       "      <td>53.875801</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012-04-03</th>\n",
       "      <td>61.139999</td>\n",
       "      <td>61.410000</td>\n",
       "      <td>60.240002</td>\n",
       "      <td>60.650002</td>\n",
       "      <td>11180100.0</td>\n",
       "      <td>53.252402</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 Open       High        Low      Close      Volume  Adj Close  \\\n",
       "2012-03-28  61.150002  61.480000  60.980000  61.189999   7124000.0  53.726534   \n",
       "2012-03-29  60.770000  60.950001  60.619999  60.820000   6691700.0  53.401665   \n",
       "2012-03-30  61.070000  61.419998  60.919998  61.200001   6941400.0  53.735316   \n",
       "2012-03-31        NaN        NaN        NaN        NaN         NaN        NaN   \n",
       "2012-04-01        NaN        NaN        NaN        NaN         NaN        NaN   \n",
       "2012-04-02  61.080002  61.490002  60.970001  61.360001   6465900.0  53.875801   \n",
       "2012-04-03  61.139999  61.410000  60.240002  60.650002  11180100.0  53.252402   \n",
       "\n",
       "             num  \n",
       "2012-03-28   NaN  \n",
       "2012-03-29   NaN  \n",
       "2012-03-30   NaN  \n",
       "2012-03-31  10.0  \n",
       "2012-04-01  10.0  \n",
       "2012-04-02  10.0  \n",
       "2012-04-03  10.0  "
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ffill_df[\"2012-03-28\":\"2012-04-03\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "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>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "      <th>Volume</th>\n",
       "      <th>Adj Close</th>\n",
       "      <th>num</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2012-04-02</th>\n",
       "      <td>61.080002</td>\n",
       "      <td>61.490002</td>\n",
       "      <td>60.970001</td>\n",
       "      <td>61.360001</td>\n",
       "      <td>6465900.0</td>\n",
       "      <td>53.875801</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012-04-03</th>\n",
       "      <td>61.139999</td>\n",
       "      <td>61.410000</td>\n",
       "      <td>60.240002</td>\n",
       "      <td>60.650002</td>\n",
       "      <td>11180100.0</td>\n",
       "      <td>53.252402</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012-04-04</th>\n",
       "      <td>60.529999</td>\n",
       "      <td>60.590000</td>\n",
       "      <td>60.020000</td>\n",
       "      <td>60.259998</td>\n",
       "      <td>10851700.0</td>\n",
       "      <td>52.909968</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012-04-05</th>\n",
       "      <td>60.200001</td>\n",
       "      <td>60.689999</td>\n",
       "      <td>60.070000</td>\n",
       "      <td>60.669998</td>\n",
       "      <td>6528700.0</td>\n",
       "      <td>53.269959</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012-04-09</th>\n",
       "      <td>60.220001</td>\n",
       "      <td>60.340000</td>\n",
       "      <td>60.080002</td>\n",
       "      <td>60.130001</td>\n",
       "      <td>6831700.0</td>\n",
       "      <td>52.795827</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\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",
       "      <th>2016-12-23</th>\n",
       "      <td>69.430000</td>\n",
       "      <td>69.750000</td>\n",
       "      <td>69.360001</td>\n",
       "      <td>69.540001</td>\n",
       "      <td>4803900.0</td>\n",
       "      <td>69.032411</td>\n",
       "      <td>30.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-12-27</th>\n",
       "      <td>69.300003</td>\n",
       "      <td>69.820000</td>\n",
       "      <td>69.250000</td>\n",
       "      <td>69.699997</td>\n",
       "      <td>4435700.0</td>\n",
       "      <td>69.191240</td>\n",
       "      <td>30.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-12-28</th>\n",
       "      <td>69.940002</td>\n",
       "      <td>70.000000</td>\n",
       "      <td>69.260002</td>\n",
       "      <td>69.309998</td>\n",
       "      <td>4875700.0</td>\n",
       "      <td>68.804087</td>\n",
       "      <td>30.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-12-29</th>\n",
       "      <td>69.209999</td>\n",
       "      <td>69.519997</td>\n",
       "      <td>69.120003</td>\n",
       "      <td>69.260002</td>\n",
       "      <td>4298400.0</td>\n",
       "      <td>68.754456</td>\n",
       "      <td>30.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-12-30</th>\n",
       "      <td>69.120003</td>\n",
       "      <td>69.430000</td>\n",
       "      <td>68.830002</td>\n",
       "      <td>69.120003</td>\n",
       "      <td>6889500.0</td>\n",
       "      <td>68.615479</td>\n",
       "      <td>30.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1196 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                 Open       High        Low      Close      Volume  Adj Close  \\\n",
       "2012-04-02  61.080002  61.490002  60.970001  61.360001   6465900.0  53.875801   \n",
       "2012-04-03  61.139999  61.410000  60.240002  60.650002  11180100.0  53.252402   \n",
       "2012-04-04  60.529999  60.590000  60.020000  60.259998  10851700.0  52.909968   \n",
       "2012-04-05  60.200001  60.689999  60.070000  60.669998   6528700.0  53.269959   \n",
       "2012-04-09  60.220001  60.340000  60.080002  60.130001   6831700.0  52.795827   \n",
       "...               ...        ...        ...        ...         ...        ...   \n",
       "2016-12-23  69.430000  69.750000  69.360001  69.540001   4803900.0  69.032411   \n",
       "2016-12-27  69.300003  69.820000  69.250000  69.699997   4435700.0  69.191240   \n",
       "2016-12-28  69.940002  70.000000  69.260002  69.309998   4875700.0  68.804087   \n",
       "2016-12-29  69.209999  69.519997  69.120003  69.260002   4298400.0  68.754456   \n",
       "2016-12-30  69.120003  69.430000  68.830002  69.120003   6889500.0  68.615479   \n",
       "\n",
       "             num  \n",
       "2012-04-02  10.0  \n",
       "2012-04-03  10.0  \n",
       "2012-04-04  10.0  \n",
       "2012-04-05  10.0  \n",
       "2012-04-09  10.0  \n",
       "...          ...  \n",
       "2016-12-23  30.0  \n",
       "2016-12-27  30.0  \n",
       "2016-12-28  30.0  \n",
       "2016-12-29  30.0  \n",
       "2016-12-30  30.0  \n",
       "\n",
       "[1196 rows x 7 columns]"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ffill_df.dropna()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.11.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}