examples/scratch_pad/pandas_resample_test.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "#  mplfinance\n",
    "---\n",
    "## Test Pandas.`resample()`.\n",
    "---"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# This allows multiple outputs from a single jupyter notebook cell:\n",
    "from IPython.core.interactiveshell import InteractiveShell\n",
    "InteractiveShell.ast_node_interactivity = \"all\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'0.24.2'"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "pd.__version__  # for the record\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# daily = pd.read_csv('../data/SP500_NOV2019_Hist.csv',index_col=0,parse_dates=True)\n",
    "# daily.index.name = 'Date'\n",
    "# daily.shape\n",
    "# daily.head(3)\n",
    "# daily.tail(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "import mplfinance as mpf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1563, 4)"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "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>Close</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2019-11-05 09:30:00</th>\n",
       "      <td>3080.80</td>\n",
       "      <td>3080.49</td>\n",
       "      <td>3081.47</td>\n",
       "      <td>3080.30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-11-05 09:31:00</th>\n",
       "      <td>3080.33</td>\n",
       "      <td>3079.36</td>\n",
       "      <td>3080.33</td>\n",
       "      <td>3079.15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-11-05 09:32:00</th>\n",
       "      <td>3079.43</td>\n",
       "      <td>3079.68</td>\n",
       "      <td>3080.46</td>\n",
       "      <td>3079.43</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                        Open    Close     High      Low\n",
       "Date                                                   \n",
       "2019-11-05 09:30:00  3080.80  3080.49  3081.47  3080.30\n",
       "2019-11-05 09:31:00  3080.33  3079.36  3080.33  3079.15\n",
       "2019-11-05 09:32:00  3079.43  3079.68  3080.46  3079.43"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "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>Close</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2019-11-08 15:57:00</th>\n",
       "      <td>3090.73</td>\n",
       "      <td>3090.70</td>\n",
       "      <td>3091.02</td>\n",
       "      <td>3090.52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-11-08 15:58:00</th>\n",
       "      <td>3090.73</td>\n",
       "      <td>3091.04</td>\n",
       "      <td>3091.13</td>\n",
       "      <td>3090.58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-11-08 15:59:00</th>\n",
       "      <td>3091.16</td>\n",
       "      <td>3092.91</td>\n",
       "      <td>3092.91</td>\n",
       "      <td>3090.96</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                        Open    Close     High      Low\n",
       "Date                                                   \n",
       "2019-11-08 15:57:00  3090.73  3090.70  3091.02  3090.52\n",
       "2019-11-08 15:58:00  3090.73  3091.04  3091.13  3090.58\n",
       "2019-11-08 15:59:00  3091.16  3092.91  3092.91  3090.96"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "intraday = pd.read_csv('../data/SP500_NOV2019_IDay.csv',index_col=0,parse_dates=True)\n",
    "intraday = intraday.drop('Volume',axis=1) # Volume is zero anyway for this intraday data set\n",
    "intraday.index.name = 'Date'\n",
    "intraday.shape\n",
    "intraday.head(3)\n",
    "intraday.tail(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "iday = intraday.loc['2019-11-06 15:00':'2019-11-06 16:00',:]\n",
    "mpf.plot(iday,type='candle',mav=(7,12))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(2519, 6)"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "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>Adj Close</th>\n",
       "      <th>Volume</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2007-12-31</th>\n",
       "      <td>147.100006</td>\n",
       "      <td>147.610001</td>\n",
       "      <td>146.059998</td>\n",
       "      <td>146.210007</td>\n",
       "      <td>118.624741</td>\n",
       "      <td>108126800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2008-01-02</th>\n",
       "      <td>146.529999</td>\n",
       "      <td>146.990005</td>\n",
       "      <td>143.880005</td>\n",
       "      <td>144.929993</td>\n",
       "      <td>117.586205</td>\n",
       "      <td>204935600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2008-01-03</th>\n",
       "      <td>144.910004</td>\n",
       "      <td>145.490005</td>\n",
       "      <td>144.070007</td>\n",
       "      <td>144.860001</td>\n",
       "      <td>117.529449</td>\n",
       "      <td>125133300</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  Open        High         Low       Close   Adj Close  \\\n",
       "Date                                                                     \n",
       "2007-12-31  147.100006  147.610001  146.059998  146.210007  118.624741   \n",
       "2008-01-02  146.529999  146.990005  143.880005  144.929993  117.586205   \n",
       "2008-01-03  144.910004  145.490005  144.070007  144.860001  117.529449   \n",
       "\n",
       "               Volume  \n",
       "Date                   \n",
       "2007-12-31  108126800  \n",
       "2008-01-02  204935600  \n",
       "2008-01-03  125133300  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
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       "        vertical-align: top;\n",
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       "<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>Adj Close</th>\n",
       "      <th>Volume</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2017-12-27</th>\n",
       "      <td>267.380005</td>\n",
       "      <td>267.730011</td>\n",
       "      <td>267.010010</td>\n",
       "      <td>267.320007</td>\n",
       "      <td>267.320007</td>\n",
       "      <td>57751000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-12-28</th>\n",
       "      <td>267.890015</td>\n",
       "      <td>267.920013</td>\n",
       "      <td>267.450012</td>\n",
       "      <td>267.869995</td>\n",
       "      <td>267.869995</td>\n",
       "      <td>45116100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-12-29</th>\n",
       "      <td>268.529999</td>\n",
       "      <td>268.549988</td>\n",
       "      <td>266.640015</td>\n",
       "      <td>266.859985</td>\n",
       "      <td>266.859985</td>\n",
       "      <td>96007400</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  Open        High         Low       Close   Adj Close  \\\n",
       "Date                                                                     \n",
       "2017-12-27  267.380005  267.730011  267.010010  267.320007  267.320007   \n",
       "2017-12-28  267.890015  267.920013  267.450012  267.869995  267.869995   \n",
       "2017-12-29  268.529999  268.549988  266.640015  266.859985  266.859985   \n",
       "\n",
       "              Volume  \n",
       "Date                  \n",
       "2017-12-27  57751000  \n",
       "2017-12-28  45116100  \n",
       "2017-12-29  96007400  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv('../data/yahoofinance-SPY-20080101-20180101.csv',index_col=0,parse_dates=True)\n",
    "df.shape\n",
    "df.head(3)\n",
    "df.tail(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 540x432 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "mpf.plot(df[700:850],type='bars',volume=True,no_xgaps=True,mav=(20,40),figscale=0.75)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "mpf.plot(df[700:850],type='bars',volume=True,no_xgaps=True,mav=(20,40))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "#mpf.plot(df[700:850],type='bars',volume=True,mav=(20,40))\n",
    "tdf = df[700:850].copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "ntdf = tdf.resample('1W').agg(\n",
    "    {'Open'  :'first',\n",
    "     'High'  :'max',\n",
    "     'Low'   :'min',\n",
    "     'Close' :'last',\n",
    "     'Volume':'sum'\n",
    "    })"
   ]
  },
  {
   "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>Adj Close</th>\n",
       "      <th>Volume</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2010-10-11</th>\n",
       "      <td>116.720001</td>\n",
       "      <td>116.970001</td>\n",
       "      <td>116.250000</td>\n",
       "      <td>116.650002</td>\n",
       "      <td>100.581131</td>\n",
       "      <td>103098300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-10-12</th>\n",
       "      <td>116.269997</td>\n",
       "      <td>117.349998</td>\n",
       "      <td>115.650002</td>\n",
       "      <td>117.010002</td>\n",
       "      <td>100.891541</td>\n",
       "      <td>182210000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-10-13</th>\n",
       "      <td>117.660004</td>\n",
       "      <td>118.550003</td>\n",
       "      <td>117.379997</td>\n",
       "      <td>117.919998</td>\n",
       "      <td>101.676186</td>\n",
       "      <td>194347200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-10-14</th>\n",
       "      <td>117.809998</td>\n",
       "      <td>118.010002</td>\n",
       "      <td>116.720001</td>\n",
       "      <td>117.459999</td>\n",
       "      <td>101.279564</td>\n",
       "      <td>217764300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-10-15</th>\n",
       "      <td>118.279999</td>\n",
       "      <td>118.349998</td>\n",
       "      <td>116.760002</td>\n",
       "      <td>117.699997</td>\n",
       "      <td>101.486496</td>\n",
       "      <td>243705000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-10-18</th>\n",
       "      <td>117.739998</td>\n",
       "      <td>118.669998</td>\n",
       "      <td>117.309998</td>\n",
       "      <td>118.279999</td>\n",
       "      <td>101.986603</td>\n",
       "      <td>141204800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-10-19</th>\n",
       "      <td>117.190002</td>\n",
       "      <td>117.849998</td>\n",
       "      <td>116.019997</td>\n",
       "      <td>116.730003</td>\n",
       "      <td>100.650116</td>\n",
       "      <td>280604700</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  Open        High         Low       Close   Adj Close  \\\n",
       "Date                                                                     \n",
       "2010-10-11  116.720001  116.970001  116.250000  116.650002  100.581131   \n",
       "2010-10-12  116.269997  117.349998  115.650002  117.010002  100.891541   \n",
       "2010-10-13  117.660004  118.550003  117.379997  117.919998  101.676186   \n",
       "2010-10-14  117.809998  118.010002  116.720001  117.459999  101.279564   \n",
       "2010-10-15  118.279999  118.349998  116.760002  117.699997  101.486496   \n",
       "2010-10-18  117.739998  118.669998  117.309998  118.279999  101.986603   \n",
       "2010-10-19  117.190002  117.849998  116.019997  116.730003  100.650116   \n",
       "\n",
       "               Volume  \n",
       "Date                   \n",
       "2010-10-11  103098300  \n",
       "2010-10-12  182210000  \n",
       "2010-10-13  194347200  \n",
       "2010-10-14  217764300  \n",
       "2010-10-15  243705000  \n",
       "2010-10-18  141204800  \n",
       "2010-10-19  280604700  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "      <th>Volume</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2010-10-17</th>\n",
       "      <td>116.720001</td>\n",
       "      <td>118.550003</td>\n",
       "      <td>115.650002</td>\n",
       "      <td>117.699997</td>\n",
       "      <td>941124800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-10-24</th>\n",
       "      <td>117.739998</td>\n",
       "      <td>119.089996</td>\n",
       "      <td>116.019997</td>\n",
       "      <td>118.349998</td>\n",
       "      <td>951659200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-10-31</th>\n",
       "      <td>119.139999</td>\n",
       "      <td>119.760002</td>\n",
       "      <td>117.260002</td>\n",
       "      <td>118.489998</td>\n",
       "      <td>813034100</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  Open        High         Low       Close     Volume\n",
       "Date                                                                 \n",
       "2010-10-17  116.720001  118.550003  115.650002  117.699997  941124800\n",
       "2010-10-24  117.739998  119.089996  116.019997  118.349998  951659200\n",
       "2010-10-31  119.139999  119.760002  117.260002  118.489998  813034100"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#dir(ntdf)\n",
    "tdf.head(7)\n",
    "ntdf.head(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "941124800"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tdf.loc['2010-10-11':'2010-10-15','Volume'].sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "116.720001"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "117.699997"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "118.550003"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "115.650002"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tdf.loc['2010-10-11':'2010-10-15','Open'][0]\n",
    "tdf.loc['2010-10-11':'2010-10-15','Close'][4]\n",
    "tdf.loc['2010-10-11':'2010-10-15','High'].max()\n",
    "tdf.loc['2010-10-11':'2010-10-15','Low'].min()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "116.720001"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "117.699997"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tdf.loc['2010-10-11':'2010-10-15','Open'][0]\n",
    "tdf.loc['2010-10-11':'2010-10-15','Close'][len(tdf.loc['2010-10-11':'2010-10-15','Close'])-1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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