data_ana_basics.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv('avocado.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "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>Unnamed: 0</th>\n",
       "      <th>Date</th>\n",
       "      <th>AveragePrice</th>\n",
       "      <th>Total Volume</th>\n",
       "      <th>4046</th>\n",
       "      <th>4225</th>\n",
       "      <th>4770</th>\n",
       "      <th>Total Bags</th>\n",
       "      <th>Small Bags</th>\n",
       "      <th>Large Bags</th>\n",
       "      <th>XLarge Bags</th>\n",
       "      <th>type</th>\n",
       "      <th>year</th>\n",
       "      <th>region</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>2015-12-27</td>\n",
       "      <td>1.33</td>\n",
       "      <td>64236.62</td>\n",
       "      <td>1036.74</td>\n",
       "      <td>54454.85</td>\n",
       "      <td>48.16</td>\n",
       "      <td>8696.87</td>\n",
       "      <td>8603.62</td>\n",
       "      <td>93.25</td>\n",
       "      <td>0.0</td>\n",
       "      <td>conventional</td>\n",
       "      <td>2015</td>\n",
       "      <td>Albany</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>2015-12-20</td>\n",
       "      <td>1.35</td>\n",
       "      <td>54876.98</td>\n",
       "      <td>674.28</td>\n",
       "      <td>44638.81</td>\n",
       "      <td>58.33</td>\n",
       "      <td>9505.56</td>\n",
       "      <td>9408.07</td>\n",
       "      <td>97.49</td>\n",
       "      <td>0.0</td>\n",
       "      <td>conventional</td>\n",
       "      <td>2015</td>\n",
       "      <td>Albany</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>2015-12-13</td>\n",
       "      <td>0.93</td>\n",
       "      <td>118220.22</td>\n",
       "      <td>794.70</td>\n",
       "      <td>109149.67</td>\n",
       "      <td>130.50</td>\n",
       "      <td>8145.35</td>\n",
       "      <td>8042.21</td>\n",
       "      <td>103.14</td>\n",
       "      <td>0.0</td>\n",
       "      <td>conventional</td>\n",
       "      <td>2015</td>\n",
       "      <td>Albany</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>2015-12-06</td>\n",
       "      <td>1.08</td>\n",
       "      <td>78992.15</td>\n",
       "      <td>1132.00</td>\n",
       "      <td>71976.41</td>\n",
       "      <td>72.58</td>\n",
       "      <td>5811.16</td>\n",
       "      <td>5677.40</td>\n",
       "      <td>133.76</td>\n",
       "      <td>0.0</td>\n",
       "      <td>conventional</td>\n",
       "      <td>2015</td>\n",
       "      <td>Albany</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>2015-11-29</td>\n",
       "      <td>1.28</td>\n",
       "      <td>51039.60</td>\n",
       "      <td>941.48</td>\n",
       "      <td>43838.39</td>\n",
       "      <td>75.78</td>\n",
       "      <td>6183.95</td>\n",
       "      <td>5986.26</td>\n",
       "      <td>197.69</td>\n",
       "      <td>0.0</td>\n",
       "      <td>conventional</td>\n",
       "      <td>2015</td>\n",
       "      <td>Albany</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Unnamed: 0        Date  AveragePrice  Total Volume     4046       4225  \\\n",
       "0           0  2015-12-27          1.33      64236.62  1036.74   54454.85   \n",
       "1           1  2015-12-20          1.35      54876.98   674.28   44638.81   \n",
       "2           2  2015-12-13          0.93     118220.22   794.70  109149.67   \n",
       "3           3  2015-12-06          1.08      78992.15  1132.00   71976.41   \n",
       "4           4  2015-11-29          1.28      51039.60   941.48   43838.39   \n",
       "\n",
       "     4770  Total Bags  Small Bags  Large Bags  XLarge Bags          type  \\\n",
       "0   48.16     8696.87     8603.62       93.25          0.0  conventional   \n",
       "1   58.33     9505.56     9408.07       97.49          0.0  conventional   \n",
       "2  130.50     8145.35     8042.21      103.14          0.0  conventional   \n",
       "3   72.58     5811.16     5677.40      133.76          0.0  conventional   \n",
       "4   75.78     6183.95     5986.26      197.69          0.0  conventional   \n",
       "\n",
       "   year  region  \n",
       "0  2015  Albany  \n",
       "1  2015  Albany  \n",
       "2  2015  Albany  \n",
       "3  2015  Albany  \n",
       "4  2015  Albany  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "ename": "KeyError",
     "evalue": "'Date'",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mKeyError\u001b[0m                                  Traceback (most recent call last)",
      "\u001b[1;32m~\\Anaconda3\\lib\\site-packages\\pandas\\core\\indexes\\base.py\u001b[0m in \u001b[0;36mget_loc\u001b[1;34m(self, key, method, tolerance)\u001b[0m\n\u001b[0;32m   2656\u001b[0m             \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 2657\u001b[1;33m                 \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_engine\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mget_loc\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   2658\u001b[0m             \u001b[1;32mexcept\u001b[0m \u001b[0mKeyError\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mpandas/_libs/index.pyx\u001b[0m in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc\u001b[1;34m()\u001b[0m\n",
      "\u001b[1;32mpandas/_libs/index.pyx\u001b[0m in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc\u001b[1;34m()\u001b[0m\n",
      "\u001b[1;32mpandas/_libs/hashtable_class_helper.pxi\u001b[0m in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.get_item\u001b[1;34m()\u001b[0m\n",
      "\u001b[1;32mpandas/_libs/hashtable_class_helper.pxi\u001b[0m in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.get_item\u001b[1;34m()\u001b[0m\n",
      "\u001b[1;31mKeyError\u001b[0m: 'Date'",
      "\nDuring handling of the above exception, another exception occurred:\n",
      "\u001b[1;31mKeyError\u001b[0m                                  Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-7-22296d8c26f7>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mdf\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mset_index\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'Date'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mhead\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m10\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;32m~\\Anaconda3\\lib\\site-packages\\pandas\\core\\frame.py\u001b[0m in \u001b[0;36mset_index\u001b[1;34m(self, keys, drop, append, inplace, verify_integrity)\u001b[0m\n\u001b[0;32m   4176\u001b[0m                 \u001b[0mnames\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;32mNone\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   4177\u001b[0m             \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 4178\u001b[1;33m                 \u001b[0mlevel\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mframe\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mcol\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_values\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   4179\u001b[0m                 \u001b[0mnames\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mcol\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   4180\u001b[0m                 \u001b[1;32mif\u001b[0m \u001b[0mdrop\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\Anaconda3\\lib\\site-packages\\pandas\\core\\frame.py\u001b[0m in \u001b[0;36m__getitem__\u001b[1;34m(self, key)\u001b[0m\n\u001b[0;32m   2925\u001b[0m             \u001b[1;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcolumns\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mnlevels\u001b[0m \u001b[1;33m>\u001b[0m \u001b[1;36m1\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   2926\u001b[0m                 \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_getitem_multilevel\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 2927\u001b[1;33m             \u001b[0mindexer\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcolumns\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mget_loc\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   2928\u001b[0m             \u001b[1;32mif\u001b[0m \u001b[0mis_integer\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mindexer\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   2929\u001b[0m                 \u001b[0mindexer\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;33m[\u001b[0m\u001b[0mindexer\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\Anaconda3\\lib\\site-packages\\pandas\\core\\indexes\\base.py\u001b[0m in \u001b[0;36mget_loc\u001b[1;34m(self, key, method, tolerance)\u001b[0m\n\u001b[0;32m   2657\u001b[0m                 \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_engine\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mget_loc\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   2658\u001b[0m             \u001b[1;32mexcept\u001b[0m \u001b[0mKeyError\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 2659\u001b[1;33m                 \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_engine\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mget_loc\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_maybe_cast_indexer\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   2660\u001b[0m         \u001b[0mindexer\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mget_indexer\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mmethod\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mmethod\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mtolerance\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mtolerance\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   2661\u001b[0m         \u001b[1;32mif\u001b[0m \u001b[0mindexer\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mndim\u001b[0m \u001b[1;33m>\u001b[0m \u001b[1;36m1\u001b[0m \u001b[1;32mor\u001b[0m \u001b[0mindexer\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msize\u001b[0m \u001b[1;33m>\u001b[0m \u001b[1;36m1\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mpandas/_libs/index.pyx\u001b[0m in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc\u001b[1;34m()\u001b[0m\n",
      "\u001b[1;32mpandas/_libs/index.pyx\u001b[0m in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc\u001b[1;34m()\u001b[0m\n",
      "\u001b[1;32mpandas/_libs/hashtable_class_helper.pxi\u001b[0m in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.get_item\u001b[1;34m()\u001b[0m\n",
      "\u001b[1;32mpandas/_libs/hashtable_class_helper.pxi\u001b[0m in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.get_item\u001b[1;34m()\u001b[0m\n",
      "\u001b[1;31mKeyError\u001b[0m: 'Date'"
     ]
    }
   ],
   "source": [
    "df.set_index('Date').head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.set_index('Date',inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "west = df[ df['region']=='West' ]"
   ]
  },
  {
   "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>Unnamed: 0</th>\n",
       "      <th>AveragePrice</th>\n",
       "      <th>Total Volume</th>\n",
       "      <th>4046</th>\n",
       "      <th>4225</th>\n",
       "      <th>4770</th>\n",
       "      <th>Total Bags</th>\n",
       "      <th>Small Bags</th>\n",
       "      <th>Large Bags</th>\n",
       "      <th>XLarge Bags</th>\n",
       "      <th>type</th>\n",
       "      <th>year</th>\n",
       "      <th>region</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2015-12-27</th>\n",
       "      <td>0</td>\n",
       "      <td>0.83</td>\n",
       "      <td>5291979.63</td>\n",
       "      <td>2038443.68</td>\n",
       "      <td>1717599.45</td>\n",
       "      <td>125254.82</td>\n",
       "      <td>1410681.68</td>\n",
       "      <td>838267.79</td>\n",
       "      <td>567269.76</td>\n",
       "      <td>5144.13</td>\n",
       "      <td>conventional</td>\n",
       "      <td>2015</td>\n",
       "      <td>West</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-20</th>\n",
       "      <td>1</td>\n",
       "      <td>0.88</td>\n",
       "      <td>4737649.03</td>\n",
       "      <td>2017331.24</td>\n",
       "      <td>1314711.00</td>\n",
       "      <td>130849.60</td>\n",
       "      <td>1274757.19</td>\n",
       "      <td>843691.13</td>\n",
       "      <td>417746.45</td>\n",
       "      <td>13319.61</td>\n",
       "      <td>conventional</td>\n",
       "      <td>2015</td>\n",
       "      <td>West</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-13</th>\n",
       "      <td>2</td>\n",
       "      <td>0.85</td>\n",
       "      <td>4899439.92</td>\n",
       "      <td>1798995.46</td>\n",
       "      <td>1596329.01</td>\n",
       "      <td>134101.62</td>\n",
       "      <td>1370013.83</td>\n",
       "      <td>851506.76</td>\n",
       "      <td>517936.19</td>\n",
       "      <td>570.88</td>\n",
       "      <td>conventional</td>\n",
       "      <td>2015</td>\n",
       "      <td>West</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-06</th>\n",
       "      <td>3</td>\n",
       "      <td>0.75</td>\n",
       "      <td>6202513.84</td>\n",
       "      <td>2097720.52</td>\n",
       "      <td>2051392.83</td>\n",
       "      <td>107568.34</td>\n",
       "      <td>1945832.15</td>\n",
       "      <td>1360760.83</td>\n",
       "      <td>582846.33</td>\n",
       "      <td>2224.99</td>\n",
       "      <td>conventional</td>\n",
       "      <td>2015</td>\n",
       "      <td>West</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-11-29</th>\n",
       "      <td>4</td>\n",
       "      <td>0.99</td>\n",
       "      <td>3719603.21</td>\n",
       "      <td>1461861.54</td>\n",
       "      <td>1216811.00</td>\n",
       "      <td>104219.76</td>\n",
       "      <td>936710.91</td>\n",
       "      <td>688674.00</td>\n",
       "      <td>247318.15</td>\n",
       "      <td>718.76</td>\n",
       "      <td>conventional</td>\n",
       "      <td>2015</td>\n",
       "      <td>West</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-11-22</th>\n",
       "      <td>5</td>\n",
       "      <td>0.92</td>\n",
       "      <td>4481990.34</td>\n",
       "      <td>1549012.12</td>\n",
       "      <td>1588339.47</td>\n",
       "      <td>118170.98</td>\n",
       "      <td>1226467.77</td>\n",
       "      <td>730580.48</td>\n",
       "      <td>494585.14</td>\n",
       "      <td>1302.15</td>\n",
       "      <td>conventional</td>\n",
       "      <td>2015</td>\n",
       "      <td>West</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-11-15</th>\n",
       "      <td>6</td>\n",
       "      <td>0.83</td>\n",
       "      <td>5972493.77</td>\n",
       "      <td>1996852.58</td>\n",
       "      <td>2060439.93</td>\n",
       "      <td>122763.34</td>\n",
       "      <td>1792437.92</td>\n",
       "      <td>1080985.70</td>\n",
       "      <td>699956.70</td>\n",
       "      <td>11495.52</td>\n",
       "      <td>conventional</td>\n",
       "      <td>2015</td>\n",
       "      <td>West</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-11-08</th>\n",
       "      <td>7</td>\n",
       "      <td>0.88</td>\n",
       "      <td>5094837.54</td>\n",
       "      <td>2204338.57</td>\n",
       "      <td>1668416.99</td>\n",
       "      <td>107753.58</td>\n",
       "      <td>1114328.40</td>\n",
       "      <td>770544.02</td>\n",
       "      <td>341544.79</td>\n",
       "      <td>2239.59</td>\n",
       "      <td>conventional</td>\n",
       "      <td>2015</td>\n",
       "      <td>West</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-11-01</th>\n",
       "      <td>8</td>\n",
       "      <td>0.90</td>\n",
       "      <td>5024858.14</td>\n",
       "      <td>1815066.15</td>\n",
       "      <td>1937479.91</td>\n",
       "      <td>132883.59</td>\n",
       "      <td>1139428.49</td>\n",
       "      <td>717110.41</td>\n",
       "      <td>421675.08</td>\n",
       "      <td>643.00</td>\n",
       "      <td>conventional</td>\n",
       "      <td>2015</td>\n",
       "      <td>West</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-25</th>\n",
       "      <td>9</td>\n",
       "      <td>0.95</td>\n",
       "      <td>4945835.54</td>\n",
       "      <td>1574344.01</td>\n",
       "      <td>1990844.80</td>\n",
       "      <td>134572.92</td>\n",
       "      <td>1246073.81</td>\n",
       "      <td>823727.52</td>\n",
       "      <td>420764.79</td>\n",
       "      <td>1581.50</td>\n",
       "      <td>conventional</td>\n",
       "      <td>2015</td>\n",
       "      <td>West</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-18</th>\n",
       "      <td>10</td>\n",
       "      <td>0.89</td>\n",
       "      <td>5413532.64</td>\n",
       "      <td>2012887.19</td>\n",
       "      <td>2170792.82</td>\n",
       "      <td>110348.57</td>\n",
       "      <td>1119504.06</td>\n",
       "      <td>689893.69</td>\n",
       "      <td>429405.37</td>\n",
       "      <td>205.00</td>\n",
       "      <td>conventional</td>\n",
       "      <td>2015</td>\n",
       "      <td>West</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-11</th>\n",
       "      <td>11</td>\n",
       "      <td>0.91</td>\n",
       "      <td>5534450.99</td>\n",
       "      <td>1287965.79</td>\n",
       "      <td>2714363.53</td>\n",
       "      <td>178042.28</td>\n",
       "      <td>1354079.39</td>\n",
       "      <td>947888.97</td>\n",
       "      <td>402360.11</td>\n",
       "      <td>3830.31</td>\n",
       "      <td>conventional</td>\n",
       "      <td>2015</td>\n",
       "      <td>West</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-04</th>\n",
       "      <td>12</td>\n",
       "      <td>1.00</td>\n",
       "      <td>4895485.63</td>\n",
       "      <td>1369449.86</td>\n",
       "      <td>2378441.26</td>\n",
       "      <td>179192.02</td>\n",
       "      <td>968402.49</td>\n",
       "      <td>630337.33</td>\n",
       "      <td>336994.14</td>\n",
       "      <td>1071.02</td>\n",
       "      <td>conventional</td>\n",
       "      <td>2015</td>\n",
       "      <td>West</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-09-27</th>\n",
       "      <td>13</td>\n",
       "      <td>0.97</td>\n",
       "      <td>4792868.29</td>\n",
       "      <td>1601971.34</td>\n",
       "      <td>2116029.65</td>\n",
       "      <td>98925.79</td>\n",
       "      <td>975941.51</td>\n",
       "      <td>669128.89</td>\n",
       "      <td>306758.91</td>\n",
       "      <td>53.71</td>\n",
       "      <td>conventional</td>\n",
       "      <td>2015</td>\n",
       "      <td>West</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-09-20</th>\n",
       "      <td>14</td>\n",
       "      <td>0.92</td>\n",
       "      <td>5596091.03</td>\n",
       "      <td>1552161.89</td>\n",
       "      <td>2825876.79</td>\n",
       "      <td>124207.93</td>\n",
       "      <td>1093844.42</td>\n",
       "      <td>751408.06</td>\n",
       "      <td>342166.04</td>\n",
       "      <td>270.32</td>\n",
       "      <td>conventional</td>\n",
       "      <td>2015</td>\n",
       "      <td>West</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-09-13</th>\n",
       "      <td>15</td>\n",
       "      <td>0.92</td>\n",
       "      <td>5811260.29</td>\n",
       "      <td>2194373.38</td>\n",
       "      <td>2317428.16</td>\n",
       "      <td>136996.39</td>\n",
       "      <td>1162462.36</td>\n",
       "      <td>733843.93</td>\n",
       "      <td>428556.23</td>\n",
       "      <td>62.20</td>\n",
       "      <td>conventional</td>\n",
       "      <td>2015</td>\n",
       "      <td>West</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-09-06</th>\n",
       "      <td>16</td>\n",
       "      <td>0.93</td>\n",
       "      <td>5900751.95</td>\n",
       "      <td>2682938.17</td>\n",
       "      <td>2086229.79</td>\n",
       "      <td>124722.73</td>\n",
       "      <td>1006861.26</td>\n",
       "      <td>696240.23</td>\n",
       "      <td>310568.88</td>\n",
       "      <td>52.15</td>\n",
       "      <td>conventional</td>\n",
       "      <td>2015</td>\n",
       "      <td>West</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-08-30</th>\n",
       "      <td>17</td>\n",
       "      <td>1.03</td>\n",
       "      <td>5138256.91</td>\n",
       "      <td>2163511.05</td>\n",
       "      <td>1986059.01</td>\n",
       "      <td>124657.84</td>\n",
       "      <td>864029.01</td>\n",
       "      <td>624782.63</td>\n",
       "      <td>239195.91</td>\n",
       "      <td>50.47</td>\n",
       "      <td>conventional</td>\n",
       "      <td>2015</td>\n",
       "      <td>West</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-08-23</th>\n",
       "      <td>18</td>\n",
       "      <td>1.04</td>\n",
       "      <td>5197578.46</td>\n",
       "      <td>2160130.08</td>\n",
       "      <td>2054710.68</td>\n",
       "      <td>107786.51</td>\n",
       "      <td>874951.19</td>\n",
       "      <td>709163.29</td>\n",
       "      <td>165723.93</td>\n",
       "      <td>63.97</td>\n",
       "      <td>conventional</td>\n",
       "      <td>2015</td>\n",
       "      <td>West</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-08-16</th>\n",
       "      <td>19</td>\n",
       "      <td>0.98</td>\n",
       "      <td>5718139.41</td>\n",
       "      <td>2640927.73</td>\n",
       "      <td>2027603.38</td>\n",
       "      <td>123334.73</td>\n",
       "      <td>926273.57</td>\n",
       "      <td>685992.88</td>\n",
       "      <td>240262.17</td>\n",
       "      <td>18.52</td>\n",
       "      <td>conventional</td>\n",
       "      <td>2015</td>\n",
       "      <td>West</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-08-09</th>\n",
       "      <td>20</td>\n",
       "      <td>1.01</td>\n",
       "      <td>5531488.20</td>\n",
       "      <td>2368531.20</td>\n",
       "      <td>2068854.19</td>\n",
       "      <td>135407.70</td>\n",
       "      <td>958695.11</td>\n",
       "      <td>667604.38</td>\n",
       "      <td>291065.47</td>\n",
       "      <td>25.26</td>\n",
       "      <td>conventional</td>\n",
       "      <td>2015</td>\n",
       "      <td>West</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-08-02</th>\n",
       "      <td>21</td>\n",
       "      <td>1.02</td>\n",
       "      <td>5451040.76</td>\n",
       "      <td>2470116.49</td>\n",
       "      <td>1962853.58</td>\n",
       "      <td>120434.79</td>\n",
       "      <td>897635.90</td>\n",
       "      <td>643461.37</td>\n",
       "      <td>254166.11</td>\n",
       "      <td>8.42</td>\n",
       "      <td>conventional</td>\n",
       "      <td>2015</td>\n",
       "      <td>West</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-07-26</th>\n",
       "      <td>22</td>\n",
       "      <td>1.07</td>\n",
       "      <td>5126588.84</td>\n",
       "      <td>2293111.63</td>\n",
       "      <td>1776143.49</td>\n",
       "      <td>146112.77</td>\n",
       "      <td>911220.95</td>\n",
       "      <td>645013.13</td>\n",
       "      <td>266207.82</td>\n",
       "      <td>0.00</td>\n",
       "      <td>conventional</td>\n",
       "      <td>2015</td>\n",
       "      <td>West</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-07-19</th>\n",
       "      <td>23</td>\n",
       "      <td>1.04</td>\n",
       "      <td>5525298.95</td>\n",
       "      <td>2337242.49</td>\n",
       "      <td>2065939.21</td>\n",
       "      <td>113523.76</td>\n",
       "      <td>1008593.49</td>\n",
       "      <td>665157.51</td>\n",
       "      <td>343389.61</td>\n",
       "      <td>46.37</td>\n",
       "      <td>conventional</td>\n",
       "      <td>2015</td>\n",
       "      <td>West</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-07-12</th>\n",
       "      <td>24</td>\n",
       "      <td>1.01</td>\n",
       "      <td>5791508.96</td>\n",
       "      <td>2688406.31</td>\n",
       "      <td>1950436.22</td>\n",
       "      <td>133097.00</td>\n",
       "      <td>1019569.43</td>\n",
       "      <td>731843.74</td>\n",
       "      <td>286270.91</td>\n",
       "      <td>1454.78</td>\n",
       "      <td>conventional</td>\n",
       "      <td>2015</td>\n",
       "      <td>West</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-07-05</th>\n",
       "      <td>25</td>\n",
       "      <td>0.98</td>\n",
       "      <td>6749081.20</td>\n",
       "      <td>3328637.80</td>\n",
       "      <td>2304907.45</td>\n",
       "      <td>155862.52</td>\n",
       "      <td>959673.43</td>\n",
       "      <td>767183.44</td>\n",
       "      <td>192422.82</td>\n",
       "      <td>67.17</td>\n",
       "      <td>conventional</td>\n",
       "      <td>2015</td>\n",
       "      <td>West</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-06-28</th>\n",
       "      <td>26</td>\n",
       "      <td>1.03</td>\n",
       "      <td>5617752.22</td>\n",
       "      <td>2686203.38</td>\n",
       "      <td>1907834.16</td>\n",
       "      <td>123261.81</td>\n",
       "      <td>900452.87</td>\n",
       "      <td>719727.54</td>\n",
       "      <td>180618.10</td>\n",
       "      <td>107.23</td>\n",
       "      <td>conventional</td>\n",
       "      <td>2015</td>\n",
       "      <td>West</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-06-21</th>\n",
       "      <td>27</td>\n",
       "      <td>0.93</td>\n",
       "      <td>6478952.08</td>\n",
       "      <td>3062753.54</td>\n",
       "      <td>2299962.02</td>\n",
       "      <td>138621.26</td>\n",
       "      <td>977615.26</td>\n",
       "      <td>807805.78</td>\n",
       "      <td>167640.78</td>\n",
       "      <td>2168.70</td>\n",
       "      <td>conventional</td>\n",
       "      <td>2015</td>\n",
       "      <td>West</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-06-14</th>\n",
       "      <td>28</td>\n",
       "      <td>0.92</td>\n",
       "      <td>6760001.68</td>\n",
       "      <td>3239258.39</td>\n",
       "      <td>2416002.43</td>\n",
       "      <td>112965.22</td>\n",
       "      <td>991775.64</td>\n",
       "      <td>776961.13</td>\n",
       "      <td>214729.56</td>\n",
       "      <td>84.95</td>\n",
       "      <td>conventional</td>\n",
       "      <td>2015</td>\n",
       "      <td>West</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-06-07</th>\n",
       "      <td>29</td>\n",
       "      <td>0.92</td>\n",
       "      <td>6669221.29</td>\n",
       "      <td>3451592.61</td>\n",
       "      <td>2145071.52</td>\n",
       "      <td>119829.50</td>\n",
       "      <td>952727.66</td>\n",
       "      <td>683695.78</td>\n",
       "      <td>269005.35</td>\n",
       "      <td>26.53</td>\n",
       "      <td>conventional</td>\n",
       "      <td>2015</td>\n",
       "      <td>West</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",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-04-30</th>\n",
       "      <td>35</td>\n",
       "      <td>1.40</td>\n",
       "      <td>259279.19</td>\n",
       "      <td>61897.14</td>\n",
       "      <td>51045.63</td>\n",
       "      <td>294.91</td>\n",
       "      <td>146041.51</td>\n",
       "      <td>37095.98</td>\n",
       "      <td>108945.53</td>\n",
       "      <td>0.00</td>\n",
       "      <td>organic</td>\n",
       "      <td>2017</td>\n",
       "      <td>West</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-04-23</th>\n",
       "      <td>36</td>\n",
       "      <td>1.26</td>\n",
       "      <td>296559.24</td>\n",
       "      <td>43410.75</td>\n",
       "      <td>50687.37</td>\n",
       "      <td>368.72</td>\n",
       "      <td>202092.40</td>\n",
       "      <td>92126.06</td>\n",
       "      <td>109966.34</td>\n",
       "      <td>0.00</td>\n",
       "      <td>organic</td>\n",
       "      <td>2017</td>\n",
       "      <td>West</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-04-16</th>\n",
       "      <td>37</td>\n",
       "      <td>1.23</td>\n",
       "      <td>329223.21</td>\n",
       "      <td>47412.22</td>\n",
       "      <td>51720.12</td>\n",
       "      <td>200.73</td>\n",
       "      <td>229890.14</td>\n",
       "      <td>116527.51</td>\n",
       "      <td>113362.63</td>\n",
       "      <td>0.00</td>\n",
       "      <td>organic</td>\n",
       "      <td>2017</td>\n",
       "      <td>West</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-04-09</th>\n",
       "      <td>38</td>\n",
       "      <td>1.18</td>\n",
       "      <td>348836.42</td>\n",
       "      <td>36813.79</td>\n",
       "      <td>54408.17</td>\n",
       "      <td>176.10</td>\n",
       "      <td>257438.36</td>\n",
       "      <td>145063.53</td>\n",
       "      <td>112374.83</td>\n",
       "      <td>0.00</td>\n",
       "      <td>organic</td>\n",
       "      <td>2017</td>\n",
       "      <td>West</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-04-02</th>\n",
       "      <td>39</td>\n",
       "      <td>0.98</td>\n",
       "      <td>402676.23</td>\n",
       "      <td>34093.33</td>\n",
       "      <td>58330.53</td>\n",
       "      <td>207.85</td>\n",
       "      <td>310044.52</td>\n",
       "      <td>155701.41</td>\n",
       "      <td>154343.11</td>\n",
       "      <td>0.00</td>\n",
       "      <td>organic</td>\n",
       "      <td>2017</td>\n",
       "      <td>West</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-03-26</th>\n",
       "      <td>40</td>\n",
       "      <td>0.90</td>\n",
       "      <td>456645.91</td>\n",
       "      <td>36169.35</td>\n",
       "      <td>51398.72</td>\n",
       "      <td>139.55</td>\n",
       "      <td>368938.29</td>\n",
       "      <td>152159.53</td>\n",
       "      <td>216778.76</td>\n",
       "      <td>0.00</td>\n",
       "      <td>organic</td>\n",
       "      <td>2017</td>\n",
       "      <td>West</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-03-19</th>\n",
       "      <td>41</td>\n",
       "      <td>1.24</td>\n",
       "      <td>274558.89</td>\n",
       "      <td>38225.62</td>\n",
       "      <td>50707.86</td>\n",
       "      <td>64.73</td>\n",
       "      <td>185560.68</td>\n",
       "      <td>106162.68</td>\n",
       "      <td>79398.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>organic</td>\n",
       "      <td>2017</td>\n",
       "      <td>West</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-03-12</th>\n",
       "      <td>42</td>\n",
       "      <td>1.16</td>\n",
       "      <td>308051.18</td>\n",
       "      <td>45583.97</td>\n",
       "      <td>54904.68</td>\n",
       "      <td>102.54</td>\n",
       "      <td>207459.99</td>\n",
       "      <td>112615.83</td>\n",
       "      <td>94844.16</td>\n",
       "      <td>0.00</td>\n",
       "      <td>organic</td>\n",
       "      <td>2017</td>\n",
       "      <td>West</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-03-05</th>\n",
       "      <td>43</td>\n",
       "      <td>0.99</td>\n",
       "      <td>367519.17</td>\n",
       "      <td>61166.48</td>\n",
       "      <td>55123.99</td>\n",
       "      <td>126.80</td>\n",
       "      <td>251101.90</td>\n",
       "      <td>112844.19</td>\n",
       "      <td>138257.71</td>\n",
       "      <td>0.00</td>\n",
       "      <td>organic</td>\n",
       "      <td>2017</td>\n",
       "      <td>West</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-02-26</th>\n",
       "      <td>44</td>\n",
       "      <td>1.14</td>\n",
       "      <td>308828.87</td>\n",
       "      <td>43171.62</td>\n",
       "      <td>63444.18</td>\n",
       "      <td>108.13</td>\n",
       "      <td>202104.94</td>\n",
       "      <td>99636.02</td>\n",
       "      <td>102468.92</td>\n",
       "      <td>0.00</td>\n",
       "      <td>organic</td>\n",
       "      <td>2017</td>\n",
       "      <td>West</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-02-19</th>\n",
       "      <td>45</td>\n",
       "      <td>1.49</td>\n",
       "      <td>214694.22</td>\n",
       "      <td>40585.46</td>\n",
       "      <td>48454.22</td>\n",
       "      <td>90.63</td>\n",
       "      <td>125563.91</td>\n",
       "      <td>62154.02</td>\n",
       "      <td>63409.89</td>\n",
       "      <td>0.00</td>\n",
       "      <td>organic</td>\n",
       "      <td>2017</td>\n",
       "      <td>West</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-02-12</th>\n",
       "      <td>46</td>\n",
       "      <td>1.52</td>\n",
       "      <td>214333.30</td>\n",
       "      <td>43227.87</td>\n",
       "      <td>61842.48</td>\n",
       "      <td>104.08</td>\n",
       "      <td>109158.87</td>\n",
       "      <td>63558.21</td>\n",
       "      <td>45600.66</td>\n",
       "      <td>0.00</td>\n",
       "      <td>organic</td>\n",
       "      <td>2017</td>\n",
       "      <td>West</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-02-05</th>\n",
       "      <td>47</td>\n",
       "      <td>1.15</td>\n",
       "      <td>227693.33</td>\n",
       "      <td>35703.61</td>\n",
       "      <td>46107.73</td>\n",
       "      <td>71.74</td>\n",
       "      <td>145810.25</td>\n",
       "      <td>41936.54</td>\n",
       "      <td>103873.71</td>\n",
       "      <td>0.00</td>\n",
       "      <td>organic</td>\n",
       "      <td>2017</td>\n",
       "      <td>West</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-29</th>\n",
       "      <td>48</td>\n",
       "      <td>1.29</td>\n",
       "      <td>205843.17</td>\n",
       "      <td>38850.43</td>\n",
       "      <td>44464.74</td>\n",
       "      <td>109.61</td>\n",
       "      <td>122418.39</td>\n",
       "      <td>37767.77</td>\n",
       "      <td>84650.62</td>\n",
       "      <td>0.00</td>\n",
       "      <td>organic</td>\n",
       "      <td>2017</td>\n",
       "      <td>West</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-22</th>\n",
       "      <td>49</td>\n",
       "      <td>1.20</td>\n",
       "      <td>208810.31</td>\n",
       "      <td>32006.16</td>\n",
       "      <td>45982.34</td>\n",
       "      <td>70.40</td>\n",
       "      <td>130751.41</td>\n",
       "      <td>45987.98</td>\n",
       "      <td>84763.43</td>\n",
       "      <td>0.00</td>\n",
       "      <td>organic</td>\n",
       "      <td>2017</td>\n",
       "      <td>West</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-15</th>\n",
       "      <td>50</td>\n",
       "      <td>1.06</td>\n",
       "      <td>268743.11</td>\n",
       "      <td>43816.58</td>\n",
       "      <td>41834.41</td>\n",
       "      <td>471.92</td>\n",
       "      <td>182620.20</td>\n",
       "      <td>62810.00</td>\n",
       "      <td>119810.20</td>\n",
       "      <td>0.00</td>\n",
       "      <td>organic</td>\n",
       "      <td>2017</td>\n",
       "      <td>West</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-08</th>\n",
       "      <td>51</td>\n",
       "      <td>1.09</td>\n",
       "      <td>267702.99</td>\n",
       "      <td>29794.90</td>\n",
       "      <td>45439.29</td>\n",
       "      <td>125.69</td>\n",
       "      <td>192343.11</td>\n",
       "      <td>41364.31</td>\n",
       "      <td>150978.80</td>\n",
       "      <td>0.00</td>\n",
       "      <td>organic</td>\n",
       "      <td>2017</td>\n",
       "      <td>West</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-01</th>\n",
       "      <td>52</td>\n",
       "      <td>1.19</td>\n",
       "      <td>189700.70</td>\n",
       "      <td>20783.06</td>\n",
       "      <td>35758.45</td>\n",
       "      <td>36.46</td>\n",
       "      <td>133122.73</td>\n",
       "      <td>33998.50</td>\n",
       "      <td>99124.23</td>\n",
       "      <td>0.00</td>\n",
       "      <td>organic</td>\n",
       "      <td>2017</td>\n",
       "      <td>West</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-03-25</th>\n",
       "      <td>0</td>\n",
       "      <td>1.60</td>\n",
       "      <td>271723.08</td>\n",
       "      <td>26996.28</td>\n",
       "      <td>77861.39</td>\n",
       "      <td>117.56</td>\n",
       "      <td>166747.85</td>\n",
       "      <td>87108.00</td>\n",
       "      <td>79495.39</td>\n",
       "      <td>144.46</td>\n",
       "      <td>organic</td>\n",
       "      <td>2018</td>\n",
       "      <td>West</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-03-18</th>\n",
       "      <td>1</td>\n",
       "      <td>1.73</td>\n",
       "      <td>210067.47</td>\n",
       "      <td>33437.98</td>\n",
       "      <td>47165.54</td>\n",
       "      <td>110.40</td>\n",
       "      <td>129353.55</td>\n",
       "      <td>73163.12</td>\n",
       "      <td>56020.24</td>\n",
       "      <td>170.19</td>\n",
       "      <td>organic</td>\n",
       "      <td>2018</td>\n",
       "      <td>West</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-03-11</th>\n",
       "      <td>2</td>\n",
       "      <td>1.63</td>\n",
       "      <td>264691.87</td>\n",
       "      <td>27566.25</td>\n",
       "      <td>60383.57</td>\n",
       "      <td>276.42</td>\n",
       "      <td>176465.63</td>\n",
       "      <td>107174.93</td>\n",
       "      <td>69290.70</td>\n",
       "      <td>0.00</td>\n",
       "      <td>organic</td>\n",
       "      <td>2018</td>\n",
       "      <td>West</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-03-04</th>\n",
       "      <td>3</td>\n",
       "      <td>1.46</td>\n",
       "      <td>347373.17</td>\n",
       "      <td>25990.60</td>\n",
       "      <td>71213.19</td>\n",
       "      <td>79.01</td>\n",
       "      <td>250090.37</td>\n",
       "      <td>85835.17</td>\n",
       "      <td>164087.33</td>\n",
       "      <td>167.87</td>\n",
       "      <td>organic</td>\n",
       "      <td>2018</td>\n",
       "      <td>West</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-02-25</th>\n",
       "      <td>4</td>\n",
       "      <td>1.49</td>\n",
       "      <td>301985.61</td>\n",
       "      <td>34200.18</td>\n",
       "      <td>49139.34</td>\n",
       "      <td>85.58</td>\n",
       "      <td>218560.51</td>\n",
       "      <td>99989.62</td>\n",
       "      <td>118314.77</td>\n",
       "      <td>256.12</td>\n",
       "      <td>organic</td>\n",
       "      <td>2018</td>\n",
       "      <td>West</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-02-18</th>\n",
       "      <td>5</td>\n",
       "      <td>1.64</td>\n",
       "      <td>224798.60</td>\n",
       "      <td>30149.00</td>\n",
       "      <td>38800.64</td>\n",
       "      <td>123.13</td>\n",
       "      <td>155725.83</td>\n",
       "      <td>120428.13</td>\n",
       "      <td>35257.73</td>\n",
       "      <td>39.97</td>\n",
       "      <td>organic</td>\n",
       "      <td>2018</td>\n",
       "      <td>West</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-02-11</th>\n",
       "      <td>6</td>\n",
       "      <td>1.47</td>\n",
       "      <td>275248.53</td>\n",
       "      <td>24732.55</td>\n",
       "      <td>61713.53</td>\n",
       "      <td>243.00</td>\n",
       "      <td>188559.45</td>\n",
       "      <td>88497.05</td>\n",
       "      <td>99810.80</td>\n",
       "      <td>251.60</td>\n",
       "      <td>organic</td>\n",
       "      <td>2018</td>\n",
       "      <td>West</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-02-04</th>\n",
       "      <td>7</td>\n",
       "      <td>1.41</td>\n",
       "      <td>283378.47</td>\n",
       "      <td>22474.66</td>\n",
       "      <td>55360.49</td>\n",
       "      <td>133.41</td>\n",
       "      <td>205409.91</td>\n",
       "      <td>70232.59</td>\n",
       "      <td>134666.91</td>\n",
       "      <td>510.41</td>\n",
       "      <td>organic</td>\n",
       "      <td>2018</td>\n",
       "      <td>West</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-01-28</th>\n",
       "      <td>8</td>\n",
       "      <td>1.80</td>\n",
       "      <td>185974.53</td>\n",
       "      <td>22918.40</td>\n",
       "      <td>33051.14</td>\n",
       "      <td>93.52</td>\n",
       "      <td>129911.47</td>\n",
       "      <td>77822.23</td>\n",
       "      <td>51986.86</td>\n",
       "      <td>102.38</td>\n",
       "      <td>organic</td>\n",
       "      <td>2018</td>\n",
       "      <td>West</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-01-21</th>\n",
       "      <td>9</td>\n",
       "      <td>1.83</td>\n",
       "      <td>189317.99</td>\n",
       "      <td>27049.44</td>\n",
       "      <td>33561.32</td>\n",
       "      <td>439.47</td>\n",
       "      <td>128267.76</td>\n",
       "      <td>76091.99</td>\n",
       "      <td>51947.50</td>\n",
       "      <td>228.27</td>\n",
       "      <td>organic</td>\n",
       "      <td>2018</td>\n",
       "      <td>West</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-01-14</th>\n",
       "      <td>10</td>\n",
       "      <td>1.82</td>\n",
       "      <td>207999.67</td>\n",
       "      <td>33869.12</td>\n",
       "      <td>47435.14</td>\n",
       "      <td>433.52</td>\n",
       "      <td>126261.89</td>\n",
       "      <td>89115.78</td>\n",
       "      <td>37133.99</td>\n",
       "      <td>12.12</td>\n",
       "      <td>organic</td>\n",
       "      <td>2018</td>\n",
       "      <td>West</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-01-07</th>\n",
       "      <td>11</td>\n",
       "      <td>1.48</td>\n",
       "      <td>297190.60</td>\n",
       "      <td>34734.97</td>\n",
       "      <td>62967.74</td>\n",
       "      <td>157.77</td>\n",
       "      <td>199330.12</td>\n",
       "      <td>103761.55</td>\n",
       "      <td>95544.39</td>\n",
       "      <td>24.18</td>\n",
       "      <td>organic</td>\n",
       "      <td>2018</td>\n",
       "      <td>West</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>338 rows × 13 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            Unnamed: 0  AveragePrice  Total Volume        4046        4225  \\\n",
       "Date                                                                         \n",
       "2015-12-27           0          0.83    5291979.63  2038443.68  1717599.45   \n",
       "2015-12-20           1          0.88    4737649.03  2017331.24  1314711.00   \n",
       "2015-12-13           2          0.85    4899439.92  1798995.46  1596329.01   \n",
       "2015-12-06           3          0.75    6202513.84  2097720.52  2051392.83   \n",
       "2015-11-29           4          0.99    3719603.21  1461861.54  1216811.00   \n",
       "2015-11-22           5          0.92    4481990.34  1549012.12  1588339.47   \n",
       "2015-11-15           6          0.83    5972493.77  1996852.58  2060439.93   \n",
       "2015-11-08           7          0.88    5094837.54  2204338.57  1668416.99   \n",
       "2015-11-01           8          0.90    5024858.14  1815066.15  1937479.91   \n",
       "2015-10-25           9          0.95    4945835.54  1574344.01  1990844.80   \n",
       "2015-10-18          10          0.89    5413532.64  2012887.19  2170792.82   \n",
       "2015-10-11          11          0.91    5534450.99  1287965.79  2714363.53   \n",
       "2015-10-04          12          1.00    4895485.63  1369449.86  2378441.26   \n",
       "2015-09-27          13          0.97    4792868.29  1601971.34  2116029.65   \n",
       "2015-09-20          14          0.92    5596091.03  1552161.89  2825876.79   \n",
       "2015-09-13          15          0.92    5811260.29  2194373.38  2317428.16   \n",
       "2015-09-06          16          0.93    5900751.95  2682938.17  2086229.79   \n",
       "2015-08-30          17          1.03    5138256.91  2163511.05  1986059.01   \n",
       "2015-08-23          18          1.04    5197578.46  2160130.08  2054710.68   \n",
       "2015-08-16          19          0.98    5718139.41  2640927.73  2027603.38   \n",
       "2015-08-09          20          1.01    5531488.20  2368531.20  2068854.19   \n",
       "2015-08-02          21          1.02    5451040.76  2470116.49  1962853.58   \n",
       "2015-07-26          22          1.07    5126588.84  2293111.63  1776143.49   \n",
       "2015-07-19          23          1.04    5525298.95  2337242.49  2065939.21   \n",
       "2015-07-12          24          1.01    5791508.96  2688406.31  1950436.22   \n",
       "2015-07-05          25          0.98    6749081.20  3328637.80  2304907.45   \n",
       "2015-06-28          26          1.03    5617752.22  2686203.38  1907834.16   \n",
       "2015-06-21          27          0.93    6478952.08  3062753.54  2299962.02   \n",
       "2015-06-14          28          0.92    6760001.68  3239258.39  2416002.43   \n",
       "2015-06-07          29          0.92    6669221.29  3451592.61  2145071.52   \n",
       "...                ...           ...           ...         ...         ...   \n",
       "2017-04-30          35          1.40     259279.19    61897.14    51045.63   \n",
       "2017-04-23          36          1.26     296559.24    43410.75    50687.37   \n",
       "2017-04-16          37          1.23     329223.21    47412.22    51720.12   \n",
       "2017-04-09          38          1.18     348836.42    36813.79    54408.17   \n",
       "2017-04-02          39          0.98     402676.23    34093.33    58330.53   \n",
       "2017-03-26          40          0.90     456645.91    36169.35    51398.72   \n",
       "2017-03-19          41          1.24     274558.89    38225.62    50707.86   \n",
       "2017-03-12          42          1.16     308051.18    45583.97    54904.68   \n",
       "2017-03-05          43          0.99     367519.17    61166.48    55123.99   \n",
       "2017-02-26          44          1.14     308828.87    43171.62    63444.18   \n",
       "2017-02-19          45          1.49     214694.22    40585.46    48454.22   \n",
       "2017-02-12          46          1.52     214333.30    43227.87    61842.48   \n",
       "2017-02-05          47          1.15     227693.33    35703.61    46107.73   \n",
       "2017-01-29          48          1.29     205843.17    38850.43    44464.74   \n",
       "2017-01-22          49          1.20     208810.31    32006.16    45982.34   \n",
       "2017-01-15          50          1.06     268743.11    43816.58    41834.41   \n",
       "2017-01-08          51          1.09     267702.99    29794.90    45439.29   \n",
       "2017-01-01          52          1.19     189700.70    20783.06    35758.45   \n",
       "2018-03-25           0          1.60     271723.08    26996.28    77861.39   \n",
       "2018-03-18           1          1.73     210067.47    33437.98    47165.54   \n",
       "2018-03-11           2          1.63     264691.87    27566.25    60383.57   \n",
       "2018-03-04           3          1.46     347373.17    25990.60    71213.19   \n",
       "2018-02-25           4          1.49     301985.61    34200.18    49139.34   \n",
       "2018-02-18           5          1.64     224798.60    30149.00    38800.64   \n",
       "2018-02-11           6          1.47     275248.53    24732.55    61713.53   \n",
       "2018-02-04           7          1.41     283378.47    22474.66    55360.49   \n",
       "2018-01-28           8          1.80     185974.53    22918.40    33051.14   \n",
       "2018-01-21           9          1.83     189317.99    27049.44    33561.32   \n",
       "2018-01-14          10          1.82     207999.67    33869.12    47435.14   \n",
       "2018-01-07          11          1.48     297190.60    34734.97    62967.74   \n",
       "\n",
       "                 4770  Total Bags  Small Bags  Large Bags  XLarge Bags  \\\n",
       "Date                                                                     \n",
       "2015-12-27  125254.82  1410681.68   838267.79   567269.76      5144.13   \n",
       "2015-12-20  130849.60  1274757.19   843691.13   417746.45     13319.61   \n",
       "2015-12-13  134101.62  1370013.83   851506.76   517936.19       570.88   \n",
       "2015-12-06  107568.34  1945832.15  1360760.83   582846.33      2224.99   \n",
       "2015-11-29  104219.76   936710.91   688674.00   247318.15       718.76   \n",
       "2015-11-22  118170.98  1226467.77   730580.48   494585.14      1302.15   \n",
       "2015-11-15  122763.34  1792437.92  1080985.70   699956.70     11495.52   \n",
       "2015-11-08  107753.58  1114328.40   770544.02   341544.79      2239.59   \n",
       "2015-11-01  132883.59  1139428.49   717110.41   421675.08       643.00   \n",
       "2015-10-25  134572.92  1246073.81   823727.52   420764.79      1581.50   \n",
       "2015-10-18  110348.57  1119504.06   689893.69   429405.37       205.00   \n",
       "2015-10-11  178042.28  1354079.39   947888.97   402360.11      3830.31   \n",
       "2015-10-04  179192.02   968402.49   630337.33   336994.14      1071.02   \n",
       "2015-09-27   98925.79   975941.51   669128.89   306758.91        53.71   \n",
       "2015-09-20  124207.93  1093844.42   751408.06   342166.04       270.32   \n",
       "2015-09-13  136996.39  1162462.36   733843.93   428556.23        62.20   \n",
       "2015-09-06  124722.73  1006861.26   696240.23   310568.88        52.15   \n",
       "2015-08-30  124657.84   864029.01   624782.63   239195.91        50.47   \n",
       "2015-08-23  107786.51   874951.19   709163.29   165723.93        63.97   \n",
       "2015-08-16  123334.73   926273.57   685992.88   240262.17        18.52   \n",
       "2015-08-09  135407.70   958695.11   667604.38   291065.47        25.26   \n",
       "2015-08-02  120434.79   897635.90   643461.37   254166.11         8.42   \n",
       "2015-07-26  146112.77   911220.95   645013.13   266207.82         0.00   \n",
       "2015-07-19  113523.76  1008593.49   665157.51   343389.61        46.37   \n",
       "2015-07-12  133097.00  1019569.43   731843.74   286270.91      1454.78   \n",
       "2015-07-05  155862.52   959673.43   767183.44   192422.82        67.17   \n",
       "2015-06-28  123261.81   900452.87   719727.54   180618.10       107.23   \n",
       "2015-06-21  138621.26   977615.26   807805.78   167640.78      2168.70   \n",
       "2015-06-14  112965.22   991775.64   776961.13   214729.56        84.95   \n",
       "2015-06-07  119829.50   952727.66   683695.78   269005.35        26.53   \n",
       "...               ...         ...         ...         ...          ...   \n",
       "2017-04-30     294.91   146041.51    37095.98   108945.53         0.00   \n",
       "2017-04-23     368.72   202092.40    92126.06   109966.34         0.00   \n",
       "2017-04-16     200.73   229890.14   116527.51   113362.63         0.00   \n",
       "2017-04-09     176.10   257438.36   145063.53   112374.83         0.00   \n",
       "2017-04-02     207.85   310044.52   155701.41   154343.11         0.00   \n",
       "2017-03-26     139.55   368938.29   152159.53   216778.76         0.00   \n",
       "2017-03-19      64.73   185560.68   106162.68    79398.00         0.00   \n",
       "2017-03-12     102.54   207459.99   112615.83    94844.16         0.00   \n",
       "2017-03-05     126.80   251101.90   112844.19   138257.71         0.00   \n",
       "2017-02-26     108.13   202104.94    99636.02   102468.92         0.00   \n",
       "2017-02-19      90.63   125563.91    62154.02    63409.89         0.00   \n",
       "2017-02-12     104.08   109158.87    63558.21    45600.66         0.00   \n",
       "2017-02-05      71.74   145810.25    41936.54   103873.71         0.00   \n",
       "2017-01-29     109.61   122418.39    37767.77    84650.62         0.00   \n",
       "2017-01-22      70.40   130751.41    45987.98    84763.43         0.00   \n",
       "2017-01-15     471.92   182620.20    62810.00   119810.20         0.00   \n",
       "2017-01-08     125.69   192343.11    41364.31   150978.80         0.00   \n",
       "2017-01-01      36.46   133122.73    33998.50    99124.23         0.00   \n",
       "2018-03-25     117.56   166747.85    87108.00    79495.39       144.46   \n",
       "2018-03-18     110.40   129353.55    73163.12    56020.24       170.19   \n",
       "2018-03-11     276.42   176465.63   107174.93    69290.70         0.00   \n",
       "2018-03-04      79.01   250090.37    85835.17   164087.33       167.87   \n",
       "2018-02-25      85.58   218560.51    99989.62   118314.77       256.12   \n",
       "2018-02-18     123.13   155725.83   120428.13    35257.73        39.97   \n",
       "2018-02-11     243.00   188559.45    88497.05    99810.80       251.60   \n",
       "2018-02-04     133.41   205409.91    70232.59   134666.91       510.41   \n",
       "2018-01-28      93.52   129911.47    77822.23    51986.86       102.38   \n",
       "2018-01-21     439.47   128267.76    76091.99    51947.50       228.27   \n",
       "2018-01-14     433.52   126261.89    89115.78    37133.99        12.12   \n",
       "2018-01-07     157.77   199330.12   103761.55    95544.39        24.18   \n",
       "\n",
       "                    type  year region  \n",
       "Date                                   \n",
       "2015-12-27  conventional  2015   West  \n",
       "2015-12-20  conventional  2015   West  \n",
       "2015-12-13  conventional  2015   West  \n",
       "2015-12-06  conventional  2015   West  \n",
       "2015-11-29  conventional  2015   West  \n",
       "2015-11-22  conventional  2015   West  \n",
       "2015-11-15  conventional  2015   West  \n",
       "2015-11-08  conventional  2015   West  \n",
       "2015-11-01  conventional  2015   West  \n",
       "2015-10-25  conventional  2015   West  \n",
       "2015-10-18  conventional  2015   West  \n",
       "2015-10-11  conventional  2015   West  \n",
       "2015-10-04  conventional  2015   West  \n",
       "2015-09-27  conventional  2015   West  \n",
       "2015-09-20  conventional  2015   West  \n",
       "2015-09-13  conventional  2015   West  \n",
       "2015-09-06  conventional  2015   West  \n",
       "2015-08-30  conventional  2015   West  \n",
       "2015-08-23  conventional  2015   West  \n",
       "2015-08-16  conventional  2015   West  \n",
       "2015-08-09  conventional  2015   West  \n",
       "2015-08-02  conventional  2015   West  \n",
       "2015-07-26  conventional  2015   West  \n",
       "2015-07-19  conventional  2015   West  \n",
       "2015-07-12  conventional  2015   West  \n",
       "2015-07-05  conventional  2015   West  \n",
       "2015-06-28  conventional  2015   West  \n",
       "2015-06-21  conventional  2015   West  \n",
       "2015-06-14  conventional  2015   West  \n",
       "2015-06-07  conventional  2015   West  \n",
       "...                  ...   ...    ...  \n",
       "2017-04-30       organic  2017   West  \n",
       "2017-04-23       organic  2017   West  \n",
       "2017-04-16       organic  2017   West  \n",
       "2017-04-09       organic  2017   West  \n",
       "2017-04-02       organic  2017   West  \n",
       "2017-03-26       organic  2017   West  \n",
       "2017-03-19       organic  2017   West  \n",
       "2017-03-12       organic  2017   West  \n",
       "2017-03-05       organic  2017   West  \n",
       "2017-02-26       organic  2017   West  \n",
       "2017-02-19       organic  2017   West  \n",
       "2017-02-12       organic  2017   West  \n",
       "2017-02-05       organic  2017   West  \n",
       "2017-01-29       organic  2017   West  \n",
       "2017-01-22       organic  2017   West  \n",
       "2017-01-15       organic  2017   West  \n",
       "2017-01-08       organic  2017   West  \n",
       "2017-01-01       organic  2017   West  \n",
       "2018-03-25       organic  2018   West  \n",
       "2018-03-18       organic  2018   West  \n",
       "2018-03-11       organic  2018   West  \n",
       "2018-03-04       organic  2018   West  \n",
       "2018-02-25       organic  2018   West  \n",
       "2018-02-18       organic  2018   West  \n",
       "2018-02-11       organic  2018   West  \n",
       "2018-02-04       organic  2018   West  \n",
       "2018-01-28       organic  2018   West  \n",
       "2018-01-21       organic  2018   West  \n",
       "2018-01-14       organic  2018   West  \n",
       "2018-01-07       organic  2018   West  \n",
       "\n",
       "[338 rows x 13 columns]"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv('avocado.csv')\n",
    "df['Date'] = pd.to_datetime( df['Date'] )\n",
    "df.set_index(df['Date'],inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x213949ee400>"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df['AveragePrice'].plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "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>Unnamed: 0</th>\n",
       "      <th>Date</th>\n",
       "      <th>AveragePrice</th>\n",
       "      <th>Total Volume</th>\n",
       "      <th>4046</th>\n",
       "      <th>4225</th>\n",
       "      <th>4770</th>\n",
       "      <th>Total Bags</th>\n",
       "      <th>Small Bags</th>\n",
       "      <th>Large Bags</th>\n",
       "      <th>XLarge Bags</th>\n",
       "      <th>type</th>\n",
       "      <th>year</th>\n",
       "      <th>region</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <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>2015-12-27</th>\n",
       "      <td>0</td>\n",
       "      <td>2015-12-27</td>\n",
       "      <td>1.33</td>\n",
       "      <td>64236.62</td>\n",
       "      <td>1036.74</td>\n",
       "      <td>54454.85</td>\n",
       "      <td>48.16</td>\n",
       "      <td>8696.87</td>\n",
       "      <td>8603.62</td>\n",
       "      <td>93.25</td>\n",
       "      <td>0.0</td>\n",
       "      <td>conventional</td>\n",
       "      <td>2015</td>\n",
       "      <td>Albany</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-20</th>\n",
       "      <td>1</td>\n",
       "      <td>2015-12-20</td>\n",
       "      <td>1.35</td>\n",
       "      <td>54876.98</td>\n",
       "      <td>674.28</td>\n",
       "      <td>44638.81</td>\n",
       "      <td>58.33</td>\n",
       "      <td>9505.56</td>\n",
       "      <td>9408.07</td>\n",
       "      <td>97.49</td>\n",
       "      <td>0.0</td>\n",
       "      <td>conventional</td>\n",
       "      <td>2015</td>\n",
       "      <td>Albany</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-13</th>\n",
       "      <td>2</td>\n",
       "      <td>2015-12-13</td>\n",
       "      <td>0.93</td>\n",
       "      <td>118220.22</td>\n",
       "      <td>794.70</td>\n",
       "      <td>109149.67</td>\n",
       "      <td>130.50</td>\n",
       "      <td>8145.35</td>\n",
       "      <td>8042.21</td>\n",
       "      <td>103.14</td>\n",
       "      <td>0.0</td>\n",
       "      <td>conventional</td>\n",
       "      <td>2015</td>\n",
       "      <td>Albany</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-06</th>\n",
       "      <td>3</td>\n",
       "      <td>2015-12-06</td>\n",
       "      <td>1.08</td>\n",
       "      <td>78992.15</td>\n",
       "      <td>1132.00</td>\n",
       "      <td>71976.41</td>\n",
       "      <td>72.58</td>\n",
       "      <td>5811.16</td>\n",
       "      <td>5677.40</td>\n",
       "      <td>133.76</td>\n",
       "      <td>0.0</td>\n",
       "      <td>conventional</td>\n",
       "      <td>2015</td>\n",
       "      <td>Albany</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-11-29</th>\n",
       "      <td>4</td>\n",
       "      <td>2015-11-29</td>\n",
       "      <td>1.28</td>\n",
       "      <td>51039.60</td>\n",
       "      <td>941.48</td>\n",
       "      <td>43838.39</td>\n",
       "      <td>75.78</td>\n",
       "      <td>6183.95</td>\n",
       "      <td>5986.26</td>\n",
       "      <td>197.69</td>\n",
       "      <td>0.0</td>\n",
       "      <td>conventional</td>\n",
       "      <td>2015</td>\n",
       "      <td>Albany</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Unnamed: 0       Date  AveragePrice  Total Volume     4046  \\\n",
       "Date                                                                     \n",
       "2015-12-27           0 2015-12-27          1.33      64236.62  1036.74   \n",
       "2015-12-20           1 2015-12-20          1.35      54876.98   674.28   \n",
       "2015-12-13           2 2015-12-13          0.93     118220.22   794.70   \n",
       "2015-12-06           3 2015-12-06          1.08      78992.15  1132.00   \n",
       "2015-11-29           4 2015-11-29          1.28      51039.60   941.48   \n",
       "\n",
       "                 4225    4770  Total Bags  Small Bags  Large Bags  \\\n",
       "Date                                                                \n",
       "2015-12-27   54454.85   48.16     8696.87     8603.62       93.25   \n",
       "2015-12-20   44638.81   58.33     9505.56     9408.07       97.49   \n",
       "2015-12-13  109149.67  130.50     8145.35     8042.21      103.14   \n",
       "2015-12-06   71976.41   72.58     5811.16     5677.40      133.76   \n",
       "2015-11-29   43838.39   75.78     6183.95     5986.26      197.69   \n",
       "\n",
       "            XLarge Bags          type  year  region  \n",
       "Date                                                 \n",
       "2015-12-27          0.0  conventional  2015  Albany  \n",
       "2015-12-20          0.0  conventional  2015  Albany  \n",
       "2015-12-13          0.0  conventional  2015  Albany  \n",
       "2015-12-06          0.0  conventional  2015  Albany  \n",
       "2015-11-29          0.0  conventional  2015  Albany  "
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "albany_df = df[ df['region']=='Albany' ]\n",
    "# by using .where many AveragePrice values where NaN\n",
    "albany_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x21394fb99e8>"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "albany_df['AveragePrice'].plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x21396500cc0>"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "albany_df['AveragePrice'].rolling(25).mean().plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "albany_df.sort_index(inplace=True)\n",
    "albany_df['AveragePrice'].rolling(25).mean().plot();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Sweta\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:1: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  \"\"\"Entry point for launching an IPython kernel.\n"
     ]
    }
   ],
   "source": [
    "albany_df['Price25ma'] = albany_df['AveragePrice'].rolling(25).mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "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>Unnamed: 0</th>\n",
       "      <th>Date</th>\n",
       "      <th>AveragePrice</th>\n",
       "      <th>Total Volume</th>\n",
       "      <th>4046</th>\n",
       "      <th>4225</th>\n",
       "      <th>4770</th>\n",
       "      <th>Total Bags</th>\n",
       "      <th>Small Bags</th>\n",
       "      <th>Large Bags</th>\n",
       "      <th>XLarge Bags</th>\n",
       "      <th>type</th>\n",
       "      <th>year</th>\n",
       "      <th>region</th>\n",
       "      <th>Price25ma</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <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>2015-01-04</th>\n",
       "      <td>51</td>\n",
       "      <td>2015-01-04</td>\n",
       "      <td>1.22</td>\n",
       "      <td>40873.28</td>\n",
       "      <td>2819.50</td>\n",
       "      <td>28287.42</td>\n",
       "      <td>49.90</td>\n",
       "      <td>9716.46</td>\n",
       "      <td>9186.93</td>\n",
       "      <td>529.53</td>\n",
       "      <td>0.0</td>\n",
       "      <td>conventional</td>\n",
       "      <td>2015</td>\n",
       "      <td>Albany</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-04</th>\n",
       "      <td>51</td>\n",
       "      <td>2015-01-04</td>\n",
       "      <td>1.79</td>\n",
       "      <td>1373.95</td>\n",
       "      <td>57.42</td>\n",
       "      <td>153.88</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1162.65</td>\n",
       "      <td>1162.65</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>organic</td>\n",
       "      <td>2015</td>\n",
       "      <td>Albany</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-11</th>\n",
       "      <td>50</td>\n",
       "      <td>2015-01-11</td>\n",
       "      <td>1.24</td>\n",
       "      <td>41195.08</td>\n",
       "      <td>1002.85</td>\n",
       "      <td>31640.34</td>\n",
       "      <td>127.12</td>\n",
       "      <td>8424.77</td>\n",
       "      <td>8036.04</td>\n",
       "      <td>388.73</td>\n",
       "      <td>0.0</td>\n",
       "      <td>conventional</td>\n",
       "      <td>2015</td>\n",
       "      <td>Albany</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-11</th>\n",
       "      <td>50</td>\n",
       "      <td>2015-01-11</td>\n",
       "      <td>1.77</td>\n",
       "      <td>1182.56</td>\n",
       "      <td>39.00</td>\n",
       "      <td>305.12</td>\n",
       "      <td>0.00</td>\n",
       "      <td>838.44</td>\n",
       "      <td>838.44</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>organic</td>\n",
       "      <td>2015</td>\n",
       "      <td>Albany</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-18</th>\n",
       "      <td>49</td>\n",
       "      <td>2015-01-18</td>\n",
       "      <td>1.17</td>\n",
       "      <td>44511.28</td>\n",
       "      <td>914.14</td>\n",
       "      <td>31540.32</td>\n",
       "      <td>135.77</td>\n",
       "      <td>11921.05</td>\n",
       "      <td>11651.09</td>\n",
       "      <td>269.96</td>\n",
       "      <td>0.0</td>\n",
       "      <td>conventional</td>\n",
       "      <td>2015</td>\n",
       "      <td>Albany</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Unnamed: 0       Date  AveragePrice  Total Volume     4046  \\\n",
       "Date                                                                     \n",
       "2015-01-04          51 2015-01-04          1.22      40873.28  2819.50   \n",
       "2015-01-04          51 2015-01-04          1.79       1373.95    57.42   \n",
       "2015-01-11          50 2015-01-11          1.24      41195.08  1002.85   \n",
       "2015-01-11          50 2015-01-11          1.77       1182.56    39.00   \n",
       "2015-01-18          49 2015-01-18          1.17      44511.28   914.14   \n",
       "\n",
       "                4225    4770  Total Bags  Small Bags  Large Bags  XLarge Bags  \\\n",
       "Date                                                                            \n",
       "2015-01-04  28287.42   49.90     9716.46     9186.93      529.53          0.0   \n",
       "2015-01-04    153.88    0.00     1162.65     1162.65        0.00          0.0   \n",
       "2015-01-11  31640.34  127.12     8424.77     8036.04      388.73          0.0   \n",
       "2015-01-11    305.12    0.00      838.44      838.44        0.00          0.0   \n",
       "2015-01-18  31540.32  135.77    11921.05    11651.09      269.96          0.0   \n",
       "\n",
       "                    type  year  region  Price25ma  \n",
       "Date                                               \n",
       "2015-01-04  conventional  2015  Albany        NaN  \n",
       "2015-01-04       organic  2015  Albany        NaN  \n",
       "2015-01-11  conventional  2015  Albany        NaN  \n",
       "2015-01-11       organic  2015  Albany        NaN  \n",
       "2015-01-18  conventional  2015  Albany        NaN  "
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "albany_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [],
   "source": [
    "df1 = pd.read_csv('avocado.csv')\n",
    "albany_df = df1.copy()[ df1['region']=='Albany' ]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "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>Unnamed: 0</th>\n",
       "      <th>AveragePrice</th>\n",
       "      <th>Total Volume</th>\n",
       "      <th>4046</th>\n",
       "      <th>4225</th>\n",
       "      <th>4770</th>\n",
       "      <th>Total Bags</th>\n",
       "      <th>Small Bags</th>\n",
       "      <th>Large Bags</th>\n",
       "      <th>XLarge Bags</th>\n",
       "      <th>type</th>\n",
       "      <th>year</th>\n",
       "      <th>region</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2015-01-04</th>\n",
       "      <td>51</td>\n",
       "      <td>1.22</td>\n",
       "      <td>40873.28</td>\n",
       "      <td>2819.50</td>\n",
       "      <td>28287.42</td>\n",
       "      <td>49.90</td>\n",
       "      <td>9716.46</td>\n",
       "      <td>9186.93</td>\n",
       "      <td>529.53</td>\n",
       "      <td>0.00</td>\n",
       "      <td>conventional</td>\n",
       "      <td>2015</td>\n",
       "      <td>Albany</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-04</th>\n",
       "      <td>51</td>\n",
       "      <td>1.79</td>\n",
       "      <td>1373.95</td>\n",
       "      <td>57.42</td>\n",
       "      <td>153.88</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1162.65</td>\n",
       "      <td>1162.65</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>organic</td>\n",
       "      <td>2015</td>\n",
       "      <td>Albany</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-11</th>\n",
       "      <td>50</td>\n",
       "      <td>1.24</td>\n",
       "      <td>41195.08</td>\n",
       "      <td>1002.85</td>\n",
       "      <td>31640.34</td>\n",
       "      <td>127.12</td>\n",
       "      <td>8424.77</td>\n",
       "      <td>8036.04</td>\n",
       "      <td>388.73</td>\n",
       "      <td>0.00</td>\n",
       "      <td>conventional</td>\n",
       "      <td>2015</td>\n",
       "      <td>Albany</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-11</th>\n",
       "      <td>50</td>\n",
       "      <td>1.77</td>\n",
       "      <td>1182.56</td>\n",
       "      <td>39.00</td>\n",
       "      <td>305.12</td>\n",
       "      <td>0.00</td>\n",
       "      <td>838.44</td>\n",
       "      <td>838.44</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>organic</td>\n",
       "      <td>2015</td>\n",
       "      <td>Albany</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-18</th>\n",
       "      <td>49</td>\n",
       "      <td>1.17</td>\n",
       "      <td>44511.28</td>\n",
       "      <td>914.14</td>\n",
       "      <td>31540.32</td>\n",
       "      <td>135.77</td>\n",
       "      <td>11921.05</td>\n",
       "      <td>11651.09</td>\n",
       "      <td>269.96</td>\n",
       "      <td>0.00</td>\n",
       "      <td>conventional</td>\n",
       "      <td>2015</td>\n",
       "      <td>Albany</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-18</th>\n",
       "      <td>49</td>\n",
       "      <td>1.93</td>\n",
       "      <td>1118.47</td>\n",
       "      <td>8.02</td>\n",
       "      <td>178.78</td>\n",
       "      <td>0.00</td>\n",
       "      <td>931.67</td>\n",
       "      <td>931.67</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>organic</td>\n",
       "      <td>2015</td>\n",
       "      <td>Albany</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-25</th>\n",
       "      <td>48</td>\n",
       "      <td>1.06</td>\n",
       "      <td>45147.50</td>\n",
       "      <td>941.38</td>\n",
       "      <td>33196.16</td>\n",
       "      <td>164.14</td>\n",
       "      <td>10845.82</td>\n",
       "      <td>10103.35</td>\n",
       "      <td>742.47</td>\n",
       "      <td>0.00</td>\n",
       "      <td>conventional</td>\n",
       "      <td>2015</td>\n",
       "      <td>Albany</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-25</th>\n",
       "      <td>48</td>\n",
       "      <td>1.89</td>\n",
       "      <td>1115.89</td>\n",
       "      <td>14.87</td>\n",
       "      <td>148.72</td>\n",
       "      <td>0.00</td>\n",
       "      <td>952.30</td>\n",
       "      <td>952.30</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>organic</td>\n",
       "      <td>2015</td>\n",
       "      <td>Albany</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-02-01</th>\n",
       "      <td>47</td>\n",
       "      <td>0.99</td>\n",
       "      <td>70873.60</td>\n",
       "      <td>1353.90</td>\n",
       "      <td>60017.20</td>\n",
       "      <td>179.32</td>\n",
       "      <td>9323.18</td>\n",
       "      <td>9170.82</td>\n",
       "      <td>152.36</td>\n",
       "      <td>0.00</td>\n",
       "      <td>conventional</td>\n",
       "      <td>2015</td>\n",
       "      <td>Albany</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-02-01</th>\n",
       "      <td>47</td>\n",
       "      <td>1.83</td>\n",
       "      <td>1228.51</td>\n",
       "      <td>33.12</td>\n",
       "      <td>99.36</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1096.03</td>\n",
       "      <td>1096.03</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>organic</td>\n",
       "      <td>2015</td>\n",
       "      <td>Albany</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-02-08</th>\n",
       "      <td>46</td>\n",
       "      <td>0.99</td>\n",
       "      <td>51253.97</td>\n",
       "      <td>1357.37</td>\n",
       "      <td>39111.81</td>\n",
       "      <td>163.25</td>\n",
       "      <td>10621.54</td>\n",
       "      <td>10113.10</td>\n",
       "      <td>508.44</td>\n",
       "      <td>0.00</td>\n",
       "      <td>conventional</td>\n",
       "      <td>2015</td>\n",
       "      <td>Albany</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-02-08</th>\n",
       "      <td>46</td>\n",
       "      <td>1.59</td>\n",
       "      <td>1770.87</td>\n",
       "      <td>27.36</td>\n",
       "      <td>152.74</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1590.77</td>\n",
       "      <td>1590.77</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>organic</td>\n",
       "      <td>2015</td>\n",
       "      <td>Albany</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-02-15</th>\n",
       "      <td>45</td>\n",
       "      <td>1.06</td>\n",
       "      <td>41567.62</td>\n",
       "      <td>986.66</td>\n",
       "      <td>30045.51</td>\n",
       "      <td>222.42</td>\n",
       "      <td>10313.03</td>\n",
       "      <td>9979.87</td>\n",
       "      <td>333.16</td>\n",
       "      <td>0.00</td>\n",
       "      <td>conventional</td>\n",
       "      <td>2015</td>\n",
       "      <td>Albany</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-02-15</th>\n",
       "      <td>45</td>\n",
       "      <td>1.81</td>\n",
       "      <td>1182.30</td>\n",
       "      <td>22.74</td>\n",
       "      <td>83.02</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1076.54</td>\n",
       "      <td>1076.54</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>organic</td>\n",
       "      <td>2015</td>\n",
       "      <td>Albany</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-02-22</th>\n",
       "      <td>44</td>\n",
       "      <td>1.82</td>\n",
       "      <td>1152.33</td>\n",
       "      <td>11.34</td>\n",
       "      <td>31.76</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1109.23</td>\n",
       "      <td>1109.23</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>organic</td>\n",
       "      <td>2015</td>\n",
       "      <td>Albany</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-02-22</th>\n",
       "      <td>44</td>\n",
       "      <td>1.07</td>\n",
       "      <td>45675.05</td>\n",
       "      <td>1088.38</td>\n",
       "      <td>35056.13</td>\n",
       "      <td>151.00</td>\n",
       "      <td>9379.54</td>\n",
       "      <td>9000.16</td>\n",
       "      <td>379.38</td>\n",
       "      <td>0.00</td>\n",
       "      <td>conventional</td>\n",
       "      <td>2015</td>\n",
       "      <td>Albany</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-03-01</th>\n",
       "      <td>43</td>\n",
       "      <td>1.76</td>\n",
       "      <td>1663.35</td>\n",
       "      <td>32.82</td>\n",
       "      <td>105.25</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1525.28</td>\n",
       "      <td>1525.28</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>organic</td>\n",
       "      <td>2015</td>\n",
       "      <td>Albany</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-03-01</th>\n",
       "      <td>43</td>\n",
       "      <td>0.99</td>\n",
       "      <td>55595.74</td>\n",
       "      <td>629.46</td>\n",
       "      <td>45633.34</td>\n",
       "      <td>181.49</td>\n",
       "      <td>9151.45</td>\n",
       "      <td>8986.06</td>\n",
       "      <td>165.39</td>\n",
       "      <td>0.00</td>\n",
       "      <td>conventional</td>\n",
       "      <td>2015</td>\n",
       "      <td>Albany</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-03-08</th>\n",
       "      <td>42</td>\n",
       "      <td>1.79</td>\n",
       "      <td>1626.32</td>\n",
       "      <td>49.73</td>\n",
       "      <td>331.14</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1245.45</td>\n",
       "      <td>1245.45</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>organic</td>\n",
       "      <td>2015</td>\n",
       "      <td>Albany</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-03-08</th>\n",
       "      <td>42</td>\n",
       "      <td>1.07</td>\n",
       "      <td>40507.36</td>\n",
       "      <td>795.68</td>\n",
       "      <td>30370.64</td>\n",
       "      <td>159.05</td>\n",
       "      <td>9181.99</td>\n",
       "      <td>8827.55</td>\n",
       "      <td>354.44</td>\n",
       "      <td>0.00</td>\n",
       "      <td>conventional</td>\n",
       "      <td>2015</td>\n",
       "      <td>Albany</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-03-15</th>\n",
       "      <td>41</td>\n",
       "      <td>1.79</td>\n",
       "      <td>1473.56</td>\n",
       "      <td>19.18</td>\n",
       "      <td>164.73</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1289.65</td>\n",
       "      <td>1289.65</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>organic</td>\n",
       "      <td>2015</td>\n",
       "      <td>Albany</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-03-15</th>\n",
       "      <td>41</td>\n",
       "      <td>1.11</td>\n",
       "      <td>43045.79</td>\n",
       "      <td>2128.26</td>\n",
       "      <td>30447.17</td>\n",
       "      <td>99.67</td>\n",
       "      <td>10370.69</td>\n",
       "      <td>9989.59</td>\n",
       "      <td>381.10</td>\n",
       "      <td>0.00</td>\n",
       "      <td>conventional</td>\n",
       "      <td>2015</td>\n",
       "      <td>Albany</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-03-22</th>\n",
       "      <td>40</td>\n",
       "      <td>1.86</td>\n",
       "      <td>1375.02</td>\n",
       "      <td>40.57</td>\n",
       "      <td>326.78</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1007.67</td>\n",
       "      <td>1007.67</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>organic</td>\n",
       "      <td>2015</td>\n",
       "      <td>Albany</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-03-22</th>\n",
       "      <td>40</td>\n",
       "      <td>1.12</td>\n",
       "      <td>46346.85</td>\n",
       "      <td>2141.83</td>\n",
       "      <td>34313.56</td>\n",
       "      <td>141.80</td>\n",
       "      <td>9749.66</td>\n",
       "      <td>9252.60</td>\n",
       "      <td>497.06</td>\n",
       "      <td>0.00</td>\n",
       "      <td>conventional</td>\n",
       "      <td>2015</td>\n",
       "      <td>Albany</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-03-29</th>\n",
       "      <td>39</td>\n",
       "      <td>1.93</td>\n",
       "      <td>1082.44</td>\n",
       "      <td>24.75</td>\n",
       "      <td>173.26</td>\n",
       "      <td>0.00</td>\n",
       "      <td>884.43</td>\n",
       "      <td>884.43</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>organic</td>\n",
       "      <td>2015</td>\n",
       "      <td>Albany</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-03-29</th>\n",
       "      <td>39</td>\n",
       "      <td>1.02</td>\n",
       "      <td>67799.08</td>\n",
       "      <td>1402.28</td>\n",
       "      <td>58623.22</td>\n",
       "      <td>89.50</td>\n",
       "      <td>7684.08</td>\n",
       "      <td>7208.49</td>\n",
       "      <td>475.59</td>\n",
       "      <td>0.00</td>\n",
       "      <td>conventional</td>\n",
       "      <td>2015</td>\n",
       "      <td>Albany</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-04-05</th>\n",
       "      <td>38</td>\n",
       "      <td>1.16</td>\n",
       "      <td>47362.13</td>\n",
       "      <td>961.77</td>\n",
       "      <td>35577.66</td>\n",
       "      <td>93.76</td>\n",
       "      <td>10728.94</td>\n",
       "      <td>9869.16</td>\n",
       "      <td>755.61</td>\n",
       "      <td>104.17</td>\n",
       "      <td>conventional</td>\n",
       "      <td>2015</td>\n",
       "      <td>Albany</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-04-05</th>\n",
       "      <td>38</td>\n",
       "      <td>1.93</td>\n",
       "      <td>1526.10</td>\n",
       "      <td>15.75</td>\n",
       "      <td>202.52</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1307.83</td>\n",
       "      <td>1307.83</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>organic</td>\n",
       "      <td>2015</td>\n",
       "      <td>Albany</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-04-12</th>\n",
       "      <td>37</td>\n",
       "      <td>1.76</td>\n",
       "      <td>1634.59</td>\n",
       "      <td>51.75</td>\n",
       "      <td>93.38</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1489.46</td>\n",
       "      <td>1489.46</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>organic</td>\n",
       "      <td>2015</td>\n",
       "      <td>Albany</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-04-12</th>\n",
       "      <td>37</td>\n",
       "      <td>1.13</td>\n",
       "      <td>48364.29</td>\n",
       "      <td>864.27</td>\n",
       "      <td>30374.15</td>\n",
       "      <td>21.50</td>\n",
       "      <td>17104.37</td>\n",
       "      <td>16438.49</td>\n",
       "      <td>665.88</td>\n",
       "      <td>0.00</td>\n",
       "      <td>conventional</td>\n",
       "      <td>2015</td>\n",
       "      <td>Albany</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",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-12-17</th>\n",
       "      <td>2</td>\n",
       "      <td>1.43</td>\n",
       "      <td>3513.77</td>\n",
       "      <td>37.46</td>\n",
       "      <td>209.30</td>\n",
       "      <td>0.00</td>\n",
       "      <td>3267.01</td>\n",
       "      <td>3267.01</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>organic</td>\n",
       "      <td>2017</td>\n",
       "      <td>Albany</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-12-17</th>\n",
       "      <td>2</td>\n",
       "      <td>1.43</td>\n",
       "      <td>70677.56</td>\n",
       "      <td>2578.95</td>\n",
       "      <td>50811.52</td>\n",
       "      <td>79.18</td>\n",
       "      <td>17207.91</td>\n",
       "      <td>8914.13</td>\n",
       "      <td>8293.78</td>\n",
       "      <td>0.00</td>\n",
       "      <td>conventional</td>\n",
       "      <td>2017</td>\n",
       "      <td>Albany</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-12-24</th>\n",
       "      <td>1</td>\n",
       "      <td>1.45</td>\n",
       "      <td>77039.09</td>\n",
       "      <td>2811.71</td>\n",
       "      <td>58592.23</td>\n",
       "      <td>19.06</td>\n",
       "      <td>15616.09</td>\n",
       "      <td>6863.18</td>\n",
       "      <td>8752.91</td>\n",
       "      <td>0.00</td>\n",
       "      <td>conventional</td>\n",
       "      <td>2017</td>\n",
       "      <td>Albany</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-12-24</th>\n",
       "      <td>1</td>\n",
       "      <td>1.58</td>\n",
       "      <td>3694.13</td>\n",
       "      <td>31.68</td>\n",
       "      <td>327.39</td>\n",
       "      <td>0.00</td>\n",
       "      <td>3335.06</td>\n",
       "      <td>3335.06</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>organic</td>\n",
       "      <td>2017</td>\n",
       "      <td>Albany</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-12-31</th>\n",
       "      <td>0</td>\n",
       "      <td>1.47</td>\n",
       "      <td>113514.42</td>\n",
       "      <td>2622.70</td>\n",
       "      <td>101135.53</td>\n",
       "      <td>20.25</td>\n",
       "      <td>9735.94</td>\n",
       "      <td>5556.98</td>\n",
       "      <td>4178.96</td>\n",
       "      <td>0.00</td>\n",
       "      <td>conventional</td>\n",
       "      <td>2017</td>\n",
       "      <td>Albany</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-12-31</th>\n",
       "      <td>0</td>\n",
       "      <td>1.46</td>\n",
       "      <td>3463.85</td>\n",
       "      <td>18.12</td>\n",
       "      <td>198.16</td>\n",
       "      <td>0.00</td>\n",
       "      <td>3247.57</td>\n",
       "      <td>3247.57</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>organic</td>\n",
       "      <td>2017</td>\n",
       "      <td>Albany</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-01-07</th>\n",
       "      <td>11</td>\n",
       "      <td>1.13</td>\n",
       "      <td>98540.22</td>\n",
       "      <td>2940.63</td>\n",
       "      <td>76192.61</td>\n",
       "      <td>42.63</td>\n",
       "      <td>19364.35</td>\n",
       "      <td>8633.09</td>\n",
       "      <td>10707.93</td>\n",
       "      <td>23.33</td>\n",
       "      <td>conventional</td>\n",
       "      <td>2018</td>\n",
       "      <td>Albany</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-01-07</th>\n",
       "      <td>11</td>\n",
       "      <td>1.54</td>\n",
       "      <td>4816.90</td>\n",
       "      <td>43.51</td>\n",
       "      <td>412.17</td>\n",
       "      <td>0.00</td>\n",
       "      <td>4361.22</td>\n",
       "      <td>4357.89</td>\n",
       "      <td>3.33</td>\n",
       "      <td>0.00</td>\n",
       "      <td>organic</td>\n",
       "      <td>2018</td>\n",
       "      <td>Albany</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-01-14</th>\n",
       "      <td>10</td>\n",
       "      <td>1.47</td>\n",
       "      <td>4140.95</td>\n",
       "      <td>7.30</td>\n",
       "      <td>301.87</td>\n",
       "      <td>0.00</td>\n",
       "      <td>3831.78</td>\n",
       "      <td>3831.78</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>organic</td>\n",
       "      <td>2018</td>\n",
       "      <td>Albany</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-01-14</th>\n",
       "      <td>10</td>\n",
       "      <td>1.42</td>\n",
       "      <td>95246.38</td>\n",
       "      <td>2897.41</td>\n",
       "      <td>76570.67</td>\n",
       "      <td>44.00</td>\n",
       "      <td>15734.30</td>\n",
       "      <td>10012.80</td>\n",
       "      <td>5721.50</td>\n",
       "      <td>0.00</td>\n",
       "      <td>conventional</td>\n",
       "      <td>2018</td>\n",
       "      <td>Albany</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-01-21</th>\n",
       "      <td>9</td>\n",
       "      <td>1.54</td>\n",
       "      <td>3346.54</td>\n",
       "      <td>14.67</td>\n",
       "      <td>253.01</td>\n",
       "      <td>0.00</td>\n",
       "      <td>3078.86</td>\n",
       "      <td>3078.86</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>organic</td>\n",
       "      <td>2018</td>\n",
       "      <td>Albany</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-01-21</th>\n",
       "      <td>9</td>\n",
       "      <td>1.69</td>\n",
       "      <td>135196.35</td>\n",
       "      <td>3133.37</td>\n",
       "      <td>116520.88</td>\n",
       "      <td>88.78</td>\n",
       "      <td>15453.32</td>\n",
       "      <td>10023.79</td>\n",
       "      <td>5429.53</td>\n",
       "      <td>0.00</td>\n",
       "      <td>conventional</td>\n",
       "      <td>2018</td>\n",
       "      <td>Albany</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-01-28</th>\n",
       "      <td>8</td>\n",
       "      <td>1.32</td>\n",
       "      <td>6987.56</td>\n",
       "      <td>433.66</td>\n",
       "      <td>374.96</td>\n",
       "      <td>0.00</td>\n",
       "      <td>6178.94</td>\n",
       "      <td>6178.94</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>organic</td>\n",
       "      <td>2018</td>\n",
       "      <td>Albany</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-01-28</th>\n",
       "      <td>8</td>\n",
       "      <td>1.57</td>\n",
       "      <td>93625.03</td>\n",
       "      <td>3101.17</td>\n",
       "      <td>74627.23</td>\n",
       "      <td>55.59</td>\n",
       "      <td>15841.04</td>\n",
       "      <td>11614.79</td>\n",
       "      <td>4159.58</td>\n",
       "      <td>66.67</td>\n",
       "      <td>conventional</td>\n",
       "      <td>2018</td>\n",
       "      <td>Albany</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-02-04</th>\n",
       "      <td>7</td>\n",
       "      <td>1.03</td>\n",
       "      <td>216738.47</td>\n",
       "      <td>7625.65</td>\n",
       "      <td>195725.06</td>\n",
       "      <td>143.53</td>\n",
       "      <td>13244.23</td>\n",
       "      <td>10571.60</td>\n",
       "      <td>2422.63</td>\n",
       "      <td>250.00</td>\n",
       "      <td>conventional</td>\n",
       "      <td>2018</td>\n",
       "      <td>Albany</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-02-04</th>\n",
       "      <td>7</td>\n",
       "      <td>1.52</td>\n",
       "      <td>4124.96</td>\n",
       "      <td>118.38</td>\n",
       "      <td>420.36</td>\n",
       "      <td>0.00</td>\n",
       "      <td>3586.22</td>\n",
       "      <td>3586.22</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>organic</td>\n",
       "      <td>2018</td>\n",
       "      <td>Albany</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-02-11</th>\n",
       "      <td>6</td>\n",
       "      <td>1.45</td>\n",
       "      <td>121804.36</td>\n",
       "      <td>8183.48</td>\n",
       "      <td>95548.47</td>\n",
       "      <td>61.00</td>\n",
       "      <td>18011.41</td>\n",
       "      <td>13264.91</td>\n",
       "      <td>4295.39</td>\n",
       "      <td>451.11</td>\n",
       "      <td>conventional</td>\n",
       "      <td>2018</td>\n",
       "      <td>Albany</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-02-11</th>\n",
       "      <td>6</td>\n",
       "      <td>1.43</td>\n",
       "      <td>3817.93</td>\n",
       "      <td>59.18</td>\n",
       "      <td>289.85</td>\n",
       "      <td>0.00</td>\n",
       "      <td>3468.90</td>\n",
       "      <td>3468.90</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>organic</td>\n",
       "      <td>2018</td>\n",
       "      <td>Albany</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-02-18</th>\n",
       "      <td>5</td>\n",
       "      <td>1.43</td>\n",
       "      <td>85630.24</td>\n",
       "      <td>5499.73</td>\n",
       "      <td>61661.76</td>\n",
       "      <td>75.00</td>\n",
       "      <td>18393.75</td>\n",
       "      <td>15677.67</td>\n",
       "      <td>2336.08</td>\n",
       "      <td>380.00</td>\n",
       "      <td>conventional</td>\n",
       "      <td>2018</td>\n",
       "      <td>Albany</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-02-18</th>\n",
       "      <td>5</td>\n",
       "      <td>1.43</td>\n",
       "      <td>7566.17</td>\n",
       "      <td>4314.30</td>\n",
       "      <td>251.85</td>\n",
       "      <td>0.00</td>\n",
       "      <td>3000.02</td>\n",
       "      <td>3000.02</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>organic</td>\n",
       "      <td>2018</td>\n",
       "      <td>Albany</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-02-25</th>\n",
       "      <td>4</td>\n",
       "      <td>1.28</td>\n",
       "      <td>104278.89</td>\n",
       "      <td>10368.77</td>\n",
       "      <td>59723.32</td>\n",
       "      <td>48.00</td>\n",
       "      <td>34138.80</td>\n",
       "      <td>30126.31</td>\n",
       "      <td>3702.49</td>\n",
       "      <td>310.00</td>\n",
       "      <td>conventional</td>\n",
       "      <td>2018</td>\n",
       "      <td>Albany</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-02-25</th>\n",
       "      <td>4</td>\n",
       "      <td>1.56</td>\n",
       "      <td>5356.63</td>\n",
       "      <td>816.56</td>\n",
       "      <td>532.59</td>\n",
       "      <td>0.00</td>\n",
       "      <td>4007.48</td>\n",
       "      <td>4007.48</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>organic</td>\n",
       "      <td>2018</td>\n",
       "      <td>Albany</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-03-04</th>\n",
       "      <td>3</td>\n",
       "      <td>1.08</td>\n",
       "      <td>139520.60</td>\n",
       "      <td>12002.12</td>\n",
       "      <td>105069.57</td>\n",
       "      <td>95.62</td>\n",
       "      <td>22353.29</td>\n",
       "      <td>16128.51</td>\n",
       "      <td>5941.45</td>\n",
       "      <td>283.33</td>\n",
       "      <td>conventional</td>\n",
       "      <td>2018</td>\n",
       "      <td>Albany</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-03-04</th>\n",
       "      <td>3</td>\n",
       "      <td>1.48</td>\n",
       "      <td>3851.30</td>\n",
       "      <td>311.55</td>\n",
       "      <td>296.77</td>\n",
       "      <td>0.00</td>\n",
       "      <td>3242.98</td>\n",
       "      <td>3239.65</td>\n",
       "      <td>3.33</td>\n",
       "      <td>0.00</td>\n",
       "      <td>organic</td>\n",
       "      <td>2018</td>\n",
       "      <td>Albany</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-03-11</th>\n",
       "      <td>2</td>\n",
       "      <td>1.12</td>\n",
       "      <td>144648.75</td>\n",
       "      <td>15823.35</td>\n",
       "      <td>110950.68</td>\n",
       "      <td>70.00</td>\n",
       "      <td>17804.72</td>\n",
       "      <td>14480.52</td>\n",
       "      <td>3033.09</td>\n",
       "      <td>291.11</td>\n",
       "      <td>conventional</td>\n",
       "      <td>2018</td>\n",
       "      <td>Albany</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-03-11</th>\n",
       "      <td>2</td>\n",
       "      <td>1.68</td>\n",
       "      <td>2570.52</td>\n",
       "      <td>131.67</td>\n",
       "      <td>229.56</td>\n",
       "      <td>0.00</td>\n",
       "      <td>2209.29</td>\n",
       "      <td>2209.29</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>organic</td>\n",
       "      <td>2018</td>\n",
       "      <td>Albany</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-03-18</th>\n",
       "      <td>1</td>\n",
       "      <td>1.66</td>\n",
       "      <td>3154.45</td>\n",
       "      <td>275.89</td>\n",
       "      <td>297.96</td>\n",
       "      <td>0.00</td>\n",
       "      <td>2580.60</td>\n",
       "      <td>2577.27</td>\n",
       "      <td>3.33</td>\n",
       "      <td>0.00</td>\n",
       "      <td>organic</td>\n",
       "      <td>2018</td>\n",
       "      <td>Albany</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-03-18</th>\n",
       "      <td>1</td>\n",
       "      <td>1.35</td>\n",
       "      <td>105304.65</td>\n",
       "      <td>13234.86</td>\n",
       "      <td>61037.58</td>\n",
       "      <td>55.00</td>\n",
       "      <td>30977.21</td>\n",
       "      <td>26755.90</td>\n",
       "      <td>3721.31</td>\n",
       "      <td>500.00</td>\n",
       "      <td>conventional</td>\n",
       "      <td>2018</td>\n",
       "      <td>Albany</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-03-25</th>\n",
       "      <td>0</td>\n",
       "      <td>1.57</td>\n",
       "      <td>149396.50</td>\n",
       "      <td>16361.69</td>\n",
       "      <td>109045.03</td>\n",
       "      <td>65.45</td>\n",
       "      <td>23924.33</td>\n",
       "      <td>19273.80</td>\n",
       "      <td>4270.53</td>\n",
       "      <td>380.00</td>\n",
       "      <td>conventional</td>\n",
       "      <td>2018</td>\n",
       "      <td>Albany</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-03-25</th>\n",
       "      <td>0</td>\n",
       "      <td>1.71</td>\n",
       "      <td>2321.82</td>\n",
       "      <td>42.95</td>\n",
       "      <td>272.41</td>\n",
       "      <td>0.00</td>\n",
       "      <td>2006.46</td>\n",
       "      <td>1996.46</td>\n",
       "      <td>10.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>organic</td>\n",
       "      <td>2018</td>\n",
       "      <td>Albany</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>338 rows × 13 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            Unnamed: 0  AveragePrice  Total Volume      4046       4225  \\\n",
       "Date                                                                      \n",
       "2015-01-04          51          1.22      40873.28   2819.50   28287.42   \n",
       "2015-01-04          51          1.79       1373.95     57.42     153.88   \n",
       "2015-01-11          50          1.24      41195.08   1002.85   31640.34   \n",
       "2015-01-11          50          1.77       1182.56     39.00     305.12   \n",
       "2015-01-18          49          1.17      44511.28    914.14   31540.32   \n",
       "2015-01-18          49          1.93       1118.47      8.02     178.78   \n",
       "2015-01-25          48          1.06      45147.50    941.38   33196.16   \n",
       "2015-01-25          48          1.89       1115.89     14.87     148.72   \n",
       "2015-02-01          47          0.99      70873.60   1353.90   60017.20   \n",
       "2015-02-01          47          1.83       1228.51     33.12      99.36   \n",
       "2015-02-08          46          0.99      51253.97   1357.37   39111.81   \n",
       "2015-02-08          46          1.59       1770.87     27.36     152.74   \n",
       "2015-02-15          45          1.06      41567.62    986.66   30045.51   \n",
       "2015-02-15          45          1.81       1182.30     22.74      83.02   \n",
       "2015-02-22          44          1.82       1152.33     11.34      31.76   \n",
       "2015-02-22          44          1.07      45675.05   1088.38   35056.13   \n",
       "2015-03-01          43          1.76       1663.35     32.82     105.25   \n",
       "2015-03-01          43          0.99      55595.74    629.46   45633.34   \n",
       "2015-03-08          42          1.79       1626.32     49.73     331.14   \n",
       "2015-03-08          42          1.07      40507.36    795.68   30370.64   \n",
       "2015-03-15          41          1.79       1473.56     19.18     164.73   \n",
       "2015-03-15          41          1.11      43045.79   2128.26   30447.17   \n",
       "2015-03-22          40          1.86       1375.02     40.57     326.78   \n",
       "2015-03-22          40          1.12      46346.85   2141.83   34313.56   \n",
       "2015-03-29          39          1.93       1082.44     24.75     173.26   \n",
       "2015-03-29          39          1.02      67799.08   1402.28   58623.22   \n",
       "2015-04-05          38          1.16      47362.13    961.77   35577.66   \n",
       "2015-04-05          38          1.93       1526.10     15.75     202.52   \n",
       "2015-04-12          37          1.76       1634.59     51.75      93.38   \n",
       "2015-04-12          37          1.13      48364.29    864.27   30374.15   \n",
       "...                ...           ...           ...       ...        ...   \n",
       "2017-12-17           2          1.43       3513.77     37.46     209.30   \n",
       "2017-12-17           2          1.43      70677.56   2578.95   50811.52   \n",
       "2017-12-24           1          1.45      77039.09   2811.71   58592.23   \n",
       "2017-12-24           1          1.58       3694.13     31.68     327.39   \n",
       "2017-12-31           0          1.47     113514.42   2622.70  101135.53   \n",
       "2017-12-31           0          1.46       3463.85     18.12     198.16   \n",
       "2018-01-07          11          1.13      98540.22   2940.63   76192.61   \n",
       "2018-01-07          11          1.54       4816.90     43.51     412.17   \n",
       "2018-01-14          10          1.47       4140.95      7.30     301.87   \n",
       "2018-01-14          10          1.42      95246.38   2897.41   76570.67   \n",
       "2018-01-21           9          1.54       3346.54     14.67     253.01   \n",
       "2018-01-21           9          1.69     135196.35   3133.37  116520.88   \n",
       "2018-01-28           8          1.32       6987.56    433.66     374.96   \n",
       "2018-01-28           8          1.57      93625.03   3101.17   74627.23   \n",
       "2018-02-04           7          1.03     216738.47   7625.65  195725.06   \n",
       "2018-02-04           7          1.52       4124.96    118.38     420.36   \n",
       "2018-02-11           6          1.45     121804.36   8183.48   95548.47   \n",
       "2018-02-11           6          1.43       3817.93     59.18     289.85   \n",
       "2018-02-18           5          1.43      85630.24   5499.73   61661.76   \n",
       "2018-02-18           5          1.43       7566.17   4314.30     251.85   \n",
       "2018-02-25           4          1.28     104278.89  10368.77   59723.32   \n",
       "2018-02-25           4          1.56       5356.63    816.56     532.59   \n",
       "2018-03-04           3          1.08     139520.60  12002.12  105069.57   \n",
       "2018-03-04           3          1.48       3851.30    311.55     296.77   \n",
       "2018-03-11           2          1.12     144648.75  15823.35  110950.68   \n",
       "2018-03-11           2          1.68       2570.52    131.67     229.56   \n",
       "2018-03-18           1          1.66       3154.45    275.89     297.96   \n",
       "2018-03-18           1          1.35     105304.65  13234.86   61037.58   \n",
       "2018-03-25           0          1.57     149396.50  16361.69  109045.03   \n",
       "2018-03-25           0          1.71       2321.82     42.95     272.41   \n",
       "\n",
       "              4770  Total Bags  Small Bags  Large Bags  XLarge Bags  \\\n",
       "Date                                                                  \n",
       "2015-01-04   49.90     9716.46     9186.93      529.53         0.00   \n",
       "2015-01-04    0.00     1162.65     1162.65        0.00         0.00   \n",
       "2015-01-11  127.12     8424.77     8036.04      388.73         0.00   \n",
       "2015-01-11    0.00      838.44      838.44        0.00         0.00   \n",
       "2015-01-18  135.77    11921.05    11651.09      269.96         0.00   \n",
       "2015-01-18    0.00      931.67      931.67        0.00         0.00   \n",
       "2015-01-25  164.14    10845.82    10103.35      742.47         0.00   \n",
       "2015-01-25    0.00      952.30      952.30        0.00         0.00   \n",
       "2015-02-01  179.32     9323.18     9170.82      152.36         0.00   \n",
       "2015-02-01    0.00     1096.03     1096.03        0.00         0.00   \n",
       "2015-02-08  163.25    10621.54    10113.10      508.44         0.00   \n",
       "2015-02-08    0.00     1590.77     1590.77        0.00         0.00   \n",
       "2015-02-15  222.42    10313.03     9979.87      333.16         0.00   \n",
       "2015-02-15    0.00     1076.54     1076.54        0.00         0.00   \n",
       "2015-02-22    0.00     1109.23     1109.23        0.00         0.00   \n",
       "2015-02-22  151.00     9379.54     9000.16      379.38         0.00   \n",
       "2015-03-01    0.00     1525.28     1525.28        0.00         0.00   \n",
       "2015-03-01  181.49     9151.45     8986.06      165.39         0.00   \n",
       "2015-03-08    0.00     1245.45     1245.45        0.00         0.00   \n",
       "2015-03-08  159.05     9181.99     8827.55      354.44         0.00   \n",
       "2015-03-15    0.00     1289.65     1289.65        0.00         0.00   \n",
       "2015-03-15   99.67    10370.69     9989.59      381.10         0.00   \n",
       "2015-03-22    0.00     1007.67     1007.67        0.00         0.00   \n",
       "2015-03-22  141.80     9749.66     9252.60      497.06         0.00   \n",
       "2015-03-29    0.00      884.43      884.43        0.00         0.00   \n",
       "2015-03-29   89.50     7684.08     7208.49      475.59         0.00   \n",
       "2015-04-05   93.76    10728.94     9869.16      755.61       104.17   \n",
       "2015-04-05    0.00     1307.83     1307.83        0.00         0.00   \n",
       "2015-04-12    0.00     1489.46     1489.46        0.00         0.00   \n",
       "2015-04-12   21.50    17104.37    16438.49      665.88         0.00   \n",
       "...            ...         ...         ...         ...          ...   \n",
       "2017-12-17    0.00     3267.01     3267.01        0.00         0.00   \n",
       "2017-12-17   79.18    17207.91     8914.13     8293.78         0.00   \n",
       "2017-12-24   19.06    15616.09     6863.18     8752.91         0.00   \n",
       "2017-12-24    0.00     3335.06     3335.06        0.00         0.00   \n",
       "2017-12-31   20.25     9735.94     5556.98     4178.96         0.00   \n",
       "2017-12-31    0.00     3247.57     3247.57        0.00         0.00   \n",
       "2018-01-07   42.63    19364.35     8633.09    10707.93        23.33   \n",
       "2018-01-07    0.00     4361.22     4357.89        3.33         0.00   \n",
       "2018-01-14    0.00     3831.78     3831.78        0.00         0.00   \n",
       "2018-01-14   44.00    15734.30    10012.80     5721.50         0.00   \n",
       "2018-01-21    0.00     3078.86     3078.86        0.00         0.00   \n",
       "2018-01-21   88.78    15453.32    10023.79     5429.53         0.00   \n",
       "2018-01-28    0.00     6178.94     6178.94        0.00         0.00   \n",
       "2018-01-28   55.59    15841.04    11614.79     4159.58        66.67   \n",
       "2018-02-04  143.53    13244.23    10571.60     2422.63       250.00   \n",
       "2018-02-04    0.00     3586.22     3586.22        0.00         0.00   \n",
       "2018-02-11   61.00    18011.41    13264.91     4295.39       451.11   \n",
       "2018-02-11    0.00     3468.90     3468.90        0.00         0.00   \n",
       "2018-02-18   75.00    18393.75    15677.67     2336.08       380.00   \n",
       "2018-02-18    0.00     3000.02     3000.02        0.00         0.00   \n",
       "2018-02-25   48.00    34138.80    30126.31     3702.49       310.00   \n",
       "2018-02-25    0.00     4007.48     4007.48        0.00         0.00   \n",
       "2018-03-04   95.62    22353.29    16128.51     5941.45       283.33   \n",
       "2018-03-04    0.00     3242.98     3239.65        3.33         0.00   \n",
       "2018-03-11   70.00    17804.72    14480.52     3033.09       291.11   \n",
       "2018-03-11    0.00     2209.29     2209.29        0.00         0.00   \n",
       "2018-03-18    0.00     2580.60     2577.27        3.33         0.00   \n",
       "2018-03-18   55.00    30977.21    26755.90     3721.31       500.00   \n",
       "2018-03-25   65.45    23924.33    19273.80     4270.53       380.00   \n",
       "2018-03-25    0.00     2006.46     1996.46       10.00         0.00   \n",
       "\n",
       "                    type  year  region  \n",
       "Date                                    \n",
       "2015-01-04  conventional  2015  Albany  \n",
       "2015-01-04       organic  2015  Albany  \n",
       "2015-01-11  conventional  2015  Albany  \n",
       "2015-01-11       organic  2015  Albany  \n",
       "2015-01-18  conventional  2015  Albany  \n",
       "2015-01-18       organic  2015  Albany  \n",
       "2015-01-25  conventional  2015  Albany  \n",
       "2015-01-25       organic  2015  Albany  \n",
       "2015-02-01  conventional  2015  Albany  \n",
       "2015-02-01       organic  2015  Albany  \n",
       "2015-02-08  conventional  2015  Albany  \n",
       "2015-02-08       organic  2015  Albany  \n",
       "2015-02-15  conventional  2015  Albany  \n",
       "2015-02-15       organic  2015  Albany  \n",
       "2015-02-22       organic  2015  Albany  \n",
       "2015-02-22  conventional  2015  Albany  \n",
       "2015-03-01       organic  2015  Albany  \n",
       "2015-03-01  conventional  2015  Albany  \n",
       "2015-03-08       organic  2015  Albany  \n",
       "2015-03-08  conventional  2015  Albany  \n",
       "2015-03-15       organic  2015  Albany  \n",
       "2015-03-15  conventional  2015  Albany  \n",
       "2015-03-22       organic  2015  Albany  \n",
       "2015-03-22  conventional  2015  Albany  \n",
       "2015-03-29       organic  2015  Albany  \n",
       "2015-03-29  conventional  2015  Albany  \n",
       "2015-04-05  conventional  2015  Albany  \n",
       "2015-04-05       organic  2015  Albany  \n",
       "2015-04-12       organic  2015  Albany  \n",
       "2015-04-12  conventional  2015  Albany  \n",
       "...                  ...   ...     ...  \n",
       "2017-12-17       organic  2017  Albany  \n",
       "2017-12-17  conventional  2017  Albany  \n",
       "2017-12-24  conventional  2017  Albany  \n",
       "2017-12-24       organic  2017  Albany  \n",
       "2017-12-31  conventional  2017  Albany  \n",
       "2017-12-31       organic  2017  Albany  \n",
       "2018-01-07  conventional  2018  Albany  \n",
       "2018-01-07       organic  2018  Albany  \n",
       "2018-01-14       organic  2018  Albany  \n",
       "2018-01-14  conventional  2018  Albany  \n",
       "2018-01-21       organic  2018  Albany  \n",
       "2018-01-21  conventional  2018  Albany  \n",
       "2018-01-28       organic  2018  Albany  \n",
       "2018-01-28  conventional  2018  Albany  \n",
       "2018-02-04  conventional  2018  Albany  \n",
       "2018-02-04       organic  2018  Albany  \n",
       "2018-02-11  conventional  2018  Albany  \n",
       "2018-02-11       organic  2018  Albany  \n",
       "2018-02-18  conventional  2018  Albany  \n",
       "2018-02-18       organic  2018  Albany  \n",
       "2018-02-25  conventional  2018  Albany  \n",
       "2018-02-25       organic  2018  Albany  \n",
       "2018-03-04  conventional  2018  Albany  \n",
       "2018-03-04       organic  2018  Albany  \n",
       "2018-03-11  conventional  2018  Albany  \n",
       "2018-03-11       organic  2018  Albany  \n",
       "2018-03-18       organic  2018  Albany  \n",
       "2018-03-18  conventional  2018  Albany  \n",
       "2018-03-25  conventional  2018  Albany  \n",
       "2018-03-25       organic  2018  Albany  \n",
       "\n",
       "[338 rows x 13 columns]"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "albany_df['Date'] = pd.to_datetime( albany_df['Date'] )\n",
    "albany_df.set_index('Date',inplace=True)\n",
    "albany_df.sort_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [],
   "source": [
    "albany_df.sort_index(inplace=True)\n",
    "albany_df['Price25ma'] = albany_df['AveragePrice'].rolling(25).mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x21396ecb240>"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "albany_df['AveragePrice'].rolling(25).mean().plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Albany\n",
      "Atlanta\n",
      "BaltimoreWashington\n",
      "Boise\n",
      "Boston\n",
      "BuffaloRochester\n",
      "California\n",
      "Charlotte\n",
      "Chicago\n",
      "CincinnatiDayton\n",
      "Columbus\n",
      "DallasFtWorth\n",
      "Denver\n",
      "Detroit\n",
      "GrandRapids\n",
      "GreatLakes\n"
     ]
    }
   ],
   "source": [
    "graph_df = pd.DataFrame()\n",
    "\n",
    "for region in df['region'].unique()[:16]:\n",
    "    print(region)\n",
    "    region_df  = df.copy()[ df['region']==region ]\n",
    "    region_df['Date'] = pd.to_datetime(region_df['Date'])\n",
    "    region_df.set_index('Date',inplace=True)\n",
    "    region_df[f'{region}price25ma'] = region_df['AveragePrice'].rolling(25).mean()\n",
    "\n",
    "    if graph_df.empty:\n",
    "        graph_df = region_df[[f'{region}price25ma']]\n",
    "    \n",
    "    else:\n",
    "        graph_df = graph_df.join(region_df[f'{region}price25ma'])\n",
    "# graph_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "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>Albanyprice25ma</th>\n",
       "      <th>Atlantaprice25ma</th>\n",
       "      <th>BaltimoreWashingtonprice25ma</th>\n",
       "      <th>Boiseprice25ma</th>\n",
       "      <th>Bostonprice25ma</th>\n",
       "      <th>BuffaloRochesterprice25ma</th>\n",
       "      <th>Californiaprice25ma</th>\n",
       "      <th>Charlotteprice25ma</th>\n",
       "      <th>Chicagoprice25ma</th>\n",
       "      <th>CincinnatiDaytonprice25ma</th>\n",
       "      <th>Columbusprice25ma</th>\n",
       "      <th>DallasFtWorthprice25ma</th>\n",
       "      <th>Denverprice25ma</th>\n",
       "      <th>Detroitprice25ma</th>\n",
       "      <th>GrandRapidsprice25ma</th>\n",
       "      <th>GreatLakesprice25ma</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2015-01-04</th>\n",
       "      <td>1.1512</td>\n",
       "      <td>1.0564</td>\n",
       "      <td>1.1916</td>\n",
       "      <td>1.0472</td>\n",
       "      <td>1.1844</td>\n",
       "      <td>1.4152</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.1748</td>\n",
       "      <td>1.1788</td>\n",
       "      <td>0.9836</td>\n",
       "      <td>1.0092</td>\n",
       "      <td>0.7480</td>\n",
       "      <td>1.0840</td>\n",
       "      <td>1.0436</td>\n",
       "      <td>1.1152</td>\n",
       "      <td>1.0948</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-04</th>\n",
       "      <td>1.1512</td>\n",
       "      <td>1.0564</td>\n",
       "      <td>1.1916</td>\n",
       "      <td>1.0472</td>\n",
       "      <td>1.1844</td>\n",
       "      <td>1.4152</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.1748</td>\n",
       "      <td>1.1788</td>\n",
       "      <td>0.9836</td>\n",
       "      <td>1.0092</td>\n",
       "      <td>0.7480</td>\n",
       "      <td>1.0840</td>\n",
       "      <td>1.0436</td>\n",
       "      <td>1.1152</td>\n",
       "      <td>1.5632</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-04</th>\n",
       "      <td>1.1512</td>\n",
       "      <td>1.0564</td>\n",
       "      <td>1.1916</td>\n",
       "      <td>1.0472</td>\n",
       "      <td>1.1844</td>\n",
       "      <td>1.4152</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.1748</td>\n",
       "      <td>1.1788</td>\n",
       "      <td>0.9836</td>\n",
       "      <td>1.0092</td>\n",
       "      <td>0.7480</td>\n",
       "      <td>1.0840</td>\n",
       "      <td>1.0436</td>\n",
       "      <td>1.8052</td>\n",
       "      <td>1.0948</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-04</th>\n",
       "      <td>1.1512</td>\n",
       "      <td>1.0564</td>\n",
       "      <td>1.1916</td>\n",
       "      <td>1.0472</td>\n",
       "      <td>1.1844</td>\n",
       "      <td>1.4152</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.1748</td>\n",
       "      <td>1.1788</td>\n",
       "      <td>0.9836</td>\n",
       "      <td>1.0092</td>\n",
       "      <td>0.7480</td>\n",
       "      <td>1.0840</td>\n",
       "      <td>1.0436</td>\n",
       "      <td>1.8052</td>\n",
       "      <td>1.5632</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-04</th>\n",
       "      <td>1.1512</td>\n",
       "      <td>1.0564</td>\n",
       "      <td>1.1916</td>\n",
       "      <td>1.0472</td>\n",
       "      <td>1.1844</td>\n",
       "      <td>1.4152</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.1748</td>\n",
       "      <td>1.1788</td>\n",
       "      <td>0.9836</td>\n",
       "      <td>1.0092</td>\n",
       "      <td>0.7480</td>\n",
       "      <td>1.0840</td>\n",
       "      <td>1.6252</td>\n",
       "      <td>1.1152</td>\n",
       "      <td>1.0948</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-04</th>\n",
       "      <td>1.1512</td>\n",
       "      <td>1.0564</td>\n",
       "      <td>1.1916</td>\n",
       "      <td>1.0472</td>\n",
       "      <td>1.1844</td>\n",
       "      <td>1.4152</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.1748</td>\n",
       "      <td>1.1788</td>\n",
       "      <td>0.9836</td>\n",
       "      <td>1.0092</td>\n",
       "      <td>0.7480</td>\n",
       "      <td>1.0840</td>\n",
       "      <td>1.6252</td>\n",
       "      <td>1.1152</td>\n",
       "      <td>1.5632</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-04</th>\n",
       "      <td>1.1512</td>\n",
       "      <td>1.0564</td>\n",
       "      <td>1.1916</td>\n",
       "      <td>1.0472</td>\n",
       "      <td>1.1844</td>\n",
       "      <td>1.4152</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.1748</td>\n",
       "      <td>1.1788</td>\n",
       "      <td>0.9836</td>\n",
       "      <td>1.0092</td>\n",
       "      <td>0.7480</td>\n",
       "      <td>1.0840</td>\n",
       "      <td>1.6252</td>\n",
       "      <td>1.8052</td>\n",
       "      <td>1.0948</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-04</th>\n",
       "      <td>1.1512</td>\n",
       "      <td>1.0564</td>\n",
       "      <td>1.1916</td>\n",
       "      <td>1.0472</td>\n",
       "      <td>1.1844</td>\n",
       "      <td>1.4152</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.1748</td>\n",
       "      <td>1.1788</td>\n",
       "      <td>0.9836</td>\n",
       "      <td>1.0092</td>\n",
       "      <td>0.7480</td>\n",
       "      <td>1.0840</td>\n",
       "      <td>1.6252</td>\n",
       "      <td>1.8052</td>\n",
       "      <td>1.5632</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-04</th>\n",
       "      <td>1.1512</td>\n",
       "      <td>1.0564</td>\n",
       "      <td>1.1916</td>\n",
       "      <td>1.0472</td>\n",
       "      <td>1.1844</td>\n",
       "      <td>1.4152</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.1748</td>\n",
       "      <td>1.1788</td>\n",
       "      <td>0.9836</td>\n",
       "      <td>1.0092</td>\n",
       "      <td>0.7480</td>\n",
       "      <td>1.3172</td>\n",
       "      <td>1.0436</td>\n",
       "      <td>1.1152</td>\n",
       "      <td>1.0948</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-04</th>\n",
       "      <td>1.1512</td>\n",
       "      <td>1.0564</td>\n",
       "      <td>1.1916</td>\n",
       "      <td>1.0472</td>\n",
       "      <td>1.1844</td>\n",
       "      <td>1.4152</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.1748</td>\n",
       "      <td>1.1788</td>\n",
       "      <td>0.9836</td>\n",
       "      <td>1.0092</td>\n",
       "      <td>0.7480</td>\n",
       "      <td>1.3172</td>\n",
       "      <td>1.0436</td>\n",
       "      <td>1.1152</td>\n",
       "      <td>1.5632</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-04</th>\n",
       "      <td>1.1512</td>\n",
       "      <td>1.0564</td>\n",
       "      <td>1.1916</td>\n",
       "      <td>1.0472</td>\n",
       "      <td>1.1844</td>\n",
       "      <td>1.4152</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.1748</td>\n",
       "      <td>1.1788</td>\n",
       "      <td>0.9836</td>\n",
       "      <td>1.0092</td>\n",
       "      <td>0.7480</td>\n",
       "      <td>1.3172</td>\n",
       "      <td>1.0436</td>\n",
       "      <td>1.8052</td>\n",
       "      <td>1.0948</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-04</th>\n",
       "      <td>1.1512</td>\n",
       "      <td>1.0564</td>\n",
       "      <td>1.1916</td>\n",
       "      <td>1.0472</td>\n",
       "      <td>1.1844</td>\n",
       "      <td>1.4152</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.1748</td>\n",
       "      <td>1.1788</td>\n",
       "      <td>0.9836</td>\n",
       "      <td>1.0092</td>\n",
       "      <td>0.7480</td>\n",
       "      <td>1.3172</td>\n",
       "      <td>1.0436</td>\n",
       "      <td>1.8052</td>\n",
       "      <td>1.5632</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-04</th>\n",
       "      <td>1.1512</td>\n",
       "      <td>1.0564</td>\n",
       "      <td>1.1916</td>\n",
       "      <td>1.0472</td>\n",
       "      <td>1.1844</td>\n",
       "      <td>1.4152</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.1748</td>\n",
       "      <td>1.1788</td>\n",
       "      <td>0.9836</td>\n",
       "      <td>1.0092</td>\n",
       "      <td>0.7480</td>\n",
       "      <td>1.3172</td>\n",
       "      <td>1.6252</td>\n",
       "      <td>1.1152</td>\n",
       "      <td>1.0948</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-04</th>\n",
       "      <td>1.1512</td>\n",
       "      <td>1.0564</td>\n",
       "      <td>1.1916</td>\n",
       "      <td>1.0472</td>\n",
       "      <td>1.1844</td>\n",
       "      <td>1.4152</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.1748</td>\n",
       "      <td>1.1788</td>\n",
       "      <td>0.9836</td>\n",
       "      <td>1.0092</td>\n",
       "      <td>0.7480</td>\n",
       "      <td>1.3172</td>\n",
       "      <td>1.6252</td>\n",
       "      <td>1.1152</td>\n",
       "      <td>1.5632</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-04</th>\n",
       "      <td>1.1512</td>\n",
       "      <td>1.0564</td>\n",
       "      <td>1.1916</td>\n",
       "      <td>1.0472</td>\n",
       "      <td>1.1844</td>\n",
       "      <td>1.4152</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.1748</td>\n",
       "      <td>1.1788</td>\n",
       "      <td>0.9836</td>\n",
       "      <td>1.0092</td>\n",
       "      <td>0.7480</td>\n",
       "      <td>1.3172</td>\n",
       "      <td>1.6252</td>\n",
       "      <td>1.8052</td>\n",
       "      <td>1.0948</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-04</th>\n",
       "      <td>1.1512</td>\n",
       "      <td>1.0564</td>\n",
       "      <td>1.1916</td>\n",
       "      <td>1.0472</td>\n",
       "      <td>1.1844</td>\n",
       "      <td>1.4152</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.1748</td>\n",
       "      <td>1.1788</td>\n",
       "      <td>0.9836</td>\n",
       "      <td>1.0092</td>\n",
       "      <td>0.7480</td>\n",
       "      <td>1.3172</td>\n",
       "      <td>1.6252</td>\n",
       "      <td>1.8052</td>\n",
       "      <td>1.5632</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-04</th>\n",
       "      <td>1.1512</td>\n",
       "      <td>1.0564</td>\n",
       "      <td>1.1916</td>\n",
       "      <td>1.0472</td>\n",
       "      <td>1.1844</td>\n",
       "      <td>1.4152</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.1748</td>\n",
       "      <td>1.1788</td>\n",
       "      <td>0.9836</td>\n",
       "      <td>1.0092</td>\n",
       "      <td>1.3492</td>\n",
       "      <td>1.0840</td>\n",
       "      <td>1.0436</td>\n",
       "      <td>1.1152</td>\n",
       "      <td>1.0948</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-04</th>\n",
       "      <td>1.1512</td>\n",
       "      <td>1.0564</td>\n",
       "      <td>1.1916</td>\n",
       "      <td>1.0472</td>\n",
       "      <td>1.1844</td>\n",
       "      <td>1.4152</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.1748</td>\n",
       "      <td>1.1788</td>\n",
       "      <td>0.9836</td>\n",
       "      <td>1.0092</td>\n",
       "      <td>1.3492</td>\n",
       "      <td>1.0840</td>\n",
       "      <td>1.0436</td>\n",
       "      <td>1.1152</td>\n",
       "      <td>1.5632</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-04</th>\n",
       "      <td>1.1512</td>\n",
       "      <td>1.0564</td>\n",
       "      <td>1.1916</td>\n",
       "      <td>1.0472</td>\n",
       "      <td>1.1844</td>\n",
       "      <td>1.4152</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.1748</td>\n",
       "      <td>1.1788</td>\n",
       "      <td>0.9836</td>\n",
       "      <td>1.0092</td>\n",
       "      <td>1.3492</td>\n",
       "      <td>1.0840</td>\n",
       "      <td>1.0436</td>\n",
       "      <td>1.8052</td>\n",
       "      <td>1.0948</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-04</th>\n",
       "      <td>1.1512</td>\n",
       "      <td>1.0564</td>\n",
       "      <td>1.1916</td>\n",
       "      <td>1.0472</td>\n",
       "      <td>1.1844</td>\n",
       "      <td>1.4152</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.1748</td>\n",
       "      <td>1.1788</td>\n",
       "      <td>0.9836</td>\n",
       "      <td>1.0092</td>\n",
       "      <td>1.3492</td>\n",
       "      <td>1.0840</td>\n",
       "      <td>1.0436</td>\n",
       "      <td>1.8052</td>\n",
       "      <td>1.5632</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-04</th>\n",
       "      <td>1.1512</td>\n",
       "      <td>1.0564</td>\n",
       "      <td>1.1916</td>\n",
       "      <td>1.0472</td>\n",
       "      <td>1.1844</td>\n",
       "      <td>1.4152</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.1748</td>\n",
       "      <td>1.1788</td>\n",
       "      <td>0.9836</td>\n",
       "      <td>1.0092</td>\n",
       "      <td>1.3492</td>\n",
       "      <td>1.0840</td>\n",
       "      <td>1.6252</td>\n",
       "      <td>1.1152</td>\n",
       "      <td>1.0948</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-04</th>\n",
       "      <td>1.1512</td>\n",
       "      <td>1.0564</td>\n",
       "      <td>1.1916</td>\n",
       "      <td>1.0472</td>\n",
       "      <td>1.1844</td>\n",
       "      <td>1.4152</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.1748</td>\n",
       "      <td>1.1788</td>\n",
       "      <td>0.9836</td>\n",
       "      <td>1.0092</td>\n",
       "      <td>1.3492</td>\n",
       "      <td>1.0840</td>\n",
       "      <td>1.6252</td>\n",
       "      <td>1.1152</td>\n",
       "      <td>1.5632</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-04</th>\n",
       "      <td>1.1512</td>\n",
       "      <td>1.0564</td>\n",
       "      <td>1.1916</td>\n",
       "      <td>1.0472</td>\n",
       "      <td>1.1844</td>\n",
       "      <td>1.4152</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.1748</td>\n",
       "      <td>1.1788</td>\n",
       "      <td>0.9836</td>\n",
       "      <td>1.0092</td>\n",
       "      <td>1.3492</td>\n",
       "      <td>1.0840</td>\n",
       "      <td>1.6252</td>\n",
       "      <td>1.8052</td>\n",
       "      <td>1.0948</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-04</th>\n",
       "      <td>1.1512</td>\n",
       "      <td>1.0564</td>\n",
       "      <td>1.1916</td>\n",
       "      <td>1.0472</td>\n",
       "      <td>1.1844</td>\n",
       "      <td>1.4152</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.1748</td>\n",
       "      <td>1.1788</td>\n",
       "      <td>0.9836</td>\n",
       "      <td>1.0092</td>\n",
       "      <td>1.3492</td>\n",
       "      <td>1.0840</td>\n",
       "      <td>1.6252</td>\n",
       "      <td>1.8052</td>\n",
       "      <td>1.5632</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-04</th>\n",
       "      <td>1.1512</td>\n",
       "      <td>1.0564</td>\n",
       "      <td>1.1916</td>\n",
       "      <td>1.0472</td>\n",
       "      <td>1.1844</td>\n",
       "      <td>1.4152</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.1748</td>\n",
       "      <td>1.1788</td>\n",
       "      <td>0.9836</td>\n",
       "      <td>1.0092</td>\n",
       "      <td>1.3492</td>\n",
       "      <td>1.3172</td>\n",
       "      <td>1.0436</td>\n",
       "      <td>1.1152</td>\n",
       "      <td>1.0948</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-04</th>\n",
       "      <td>1.1512</td>\n",
       "      <td>1.0564</td>\n",
       "      <td>1.1916</td>\n",
       "      <td>1.0472</td>\n",
       "      <td>1.1844</td>\n",
       "      <td>1.4152</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.1748</td>\n",
       "      <td>1.1788</td>\n",
       "      <td>0.9836</td>\n",
       "      <td>1.0092</td>\n",
       "      <td>1.3492</td>\n",
       "      <td>1.3172</td>\n",
       "      <td>1.0436</td>\n",
       "      <td>1.1152</td>\n",
       "      <td>1.5632</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-04</th>\n",
       "      <td>1.1512</td>\n",
       "      <td>1.0564</td>\n",
       "      <td>1.1916</td>\n",
       "      <td>1.0472</td>\n",
       "      <td>1.1844</td>\n",
       "      <td>1.4152</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.1748</td>\n",
       "      <td>1.1788</td>\n",
       "      <td>0.9836</td>\n",
       "      <td>1.0092</td>\n",
       "      <td>1.3492</td>\n",
       "      <td>1.3172</td>\n",
       "      <td>1.0436</td>\n",
       "      <td>1.8052</td>\n",
       "      <td>1.0948</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-04</th>\n",
       "      <td>1.1512</td>\n",
       "      <td>1.0564</td>\n",
       "      <td>1.1916</td>\n",
       "      <td>1.0472</td>\n",
       "      <td>1.1844</td>\n",
       "      <td>1.4152</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.1748</td>\n",
       "      <td>1.1788</td>\n",
       "      <td>0.9836</td>\n",
       "      <td>1.0092</td>\n",
       "      <td>1.3492</td>\n",
       "      <td>1.3172</td>\n",
       "      <td>1.0436</td>\n",
       "      <td>1.8052</td>\n",
       "      <td>1.5632</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-04</th>\n",
       "      <td>1.1512</td>\n",
       "      <td>1.0564</td>\n",
       "      <td>1.1916</td>\n",
       "      <td>1.0472</td>\n",
       "      <td>1.1844</td>\n",
       "      <td>1.4152</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.1748</td>\n",
       "      <td>1.1788</td>\n",
       "      <td>0.9836</td>\n",
       "      <td>1.0092</td>\n",
       "      <td>1.3492</td>\n",
       "      <td>1.3172</td>\n",
       "      <td>1.6252</td>\n",
       "      <td>1.1152</td>\n",
       "      <td>1.0948</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-04</th>\n",
       "      <td>1.1512</td>\n",
       "      <td>1.0564</td>\n",
       "      <td>1.1916</td>\n",
       "      <td>1.0472</td>\n",
       "      <td>1.1844</td>\n",
       "      <td>1.4152</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.1748</td>\n",
       "      <td>1.1788</td>\n",
       "      <td>0.9836</td>\n",
       "      <td>1.0092</td>\n",
       "      <td>1.3492</td>\n",
       "      <td>1.3172</td>\n",
       "      <td>1.6252</td>\n",
       "      <td>1.1152</td>\n",
       "      <td>1.5632</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",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-03-25</th>\n",
       "      <td>1.8260</td>\n",
       "      <td>1.3164</td>\n",
       "      <td>1.9692</td>\n",
       "      <td>1.1800</td>\n",
       "      <td>1.9576</td>\n",
       "      <td>1.9656</td>\n",
       "      <td>1.59</td>\n",
       "      <td>1.9568</td>\n",
       "      <td>1.7544</td>\n",
       "      <td>1.1692</td>\n",
       "      <td>1.2300</td>\n",
       "      <td>0.8280</td>\n",
       "      <td>1.1464</td>\n",
       "      <td>1.1536</td>\n",
       "      <td>1.9068</td>\n",
       "      <td>1.1928</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-03-25</th>\n",
       "      <td>1.8260</td>\n",
       "      <td>1.3164</td>\n",
       "      <td>1.9692</td>\n",
       "      <td>1.1800</td>\n",
       "      <td>1.9576</td>\n",
       "      <td>1.9656</td>\n",
       "      <td>1.59</td>\n",
       "      <td>1.9568</td>\n",
       "      <td>1.7544</td>\n",
       "      <td>1.1692</td>\n",
       "      <td>1.2300</td>\n",
       "      <td>0.8280</td>\n",
       "      <td>1.1464</td>\n",
       "      <td>1.1536</td>\n",
       "      <td>1.9068</td>\n",
       "      <td>1.3852</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-03-25</th>\n",
       "      <td>1.8260</td>\n",
       "      <td>1.3164</td>\n",
       "      <td>1.9692</td>\n",
       "      <td>1.1800</td>\n",
       "      <td>1.9576</td>\n",
       "      <td>1.9656</td>\n",
       "      <td>1.59</td>\n",
       "      <td>1.9568</td>\n",
       "      <td>1.7544</td>\n",
       "      <td>1.1692</td>\n",
       "      <td>1.2300</td>\n",
       "      <td>0.8280</td>\n",
       "      <td>1.1464</td>\n",
       "      <td>1.2552</td>\n",
       "      <td>1.4964</td>\n",
       "      <td>1.1928</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-03-25</th>\n",
       "      <td>1.8260</td>\n",
       "      <td>1.3164</td>\n",
       "      <td>1.9692</td>\n",
       "      <td>1.1800</td>\n",
       "      <td>1.9576</td>\n",
       "      <td>1.9656</td>\n",
       "      <td>1.59</td>\n",
       "      <td>1.9568</td>\n",
       "      <td>1.7544</td>\n",
       "      <td>1.1692</td>\n",
       "      <td>1.2300</td>\n",
       "      <td>0.8280</td>\n",
       "      <td>1.1464</td>\n",
       "      <td>1.2552</td>\n",
       "      <td>1.4964</td>\n",
       "      <td>1.3852</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-03-25</th>\n",
       "      <td>1.8260</td>\n",
       "      <td>1.3164</td>\n",
       "      <td>1.9692</td>\n",
       "      <td>1.1800</td>\n",
       "      <td>1.9576</td>\n",
       "      <td>1.9656</td>\n",
       "      <td>1.59</td>\n",
       "      <td>1.9568</td>\n",
       "      <td>1.7544</td>\n",
       "      <td>1.1692</td>\n",
       "      <td>1.2300</td>\n",
       "      <td>0.8280</td>\n",
       "      <td>1.1464</td>\n",
       "      <td>1.2552</td>\n",
       "      <td>1.9068</td>\n",
       "      <td>1.1928</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-03-25</th>\n",
       "      <td>1.8260</td>\n",
       "      <td>1.3164</td>\n",
       "      <td>1.9692</td>\n",
       "      <td>1.1800</td>\n",
       "      <td>1.9576</td>\n",
       "      <td>1.9656</td>\n",
       "      <td>1.59</td>\n",
       "      <td>1.9568</td>\n",
       "      <td>1.7544</td>\n",
       "      <td>1.1692</td>\n",
       "      <td>1.2300</td>\n",
       "      <td>0.8280</td>\n",
       "      <td>1.1464</td>\n",
       "      <td>1.2552</td>\n",
       "      <td>1.9068</td>\n",
       "      <td>1.3852</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-03-25</th>\n",
       "      <td>1.8260</td>\n",
       "      <td>1.3164</td>\n",
       "      <td>1.9692</td>\n",
       "      <td>1.1800</td>\n",
       "      <td>1.9576</td>\n",
       "      <td>1.9656</td>\n",
       "      <td>1.59</td>\n",
       "      <td>1.9568</td>\n",
       "      <td>1.7544</td>\n",
       "      <td>1.1692</td>\n",
       "      <td>1.2300</td>\n",
       "      <td>0.8280</td>\n",
       "      <td>1.1364</td>\n",
       "      <td>1.1536</td>\n",
       "      <td>1.4964</td>\n",
       "      <td>1.1928</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-03-25</th>\n",
       "      <td>1.8260</td>\n",
       "      <td>1.3164</td>\n",
       "      <td>1.9692</td>\n",
       "      <td>1.1800</td>\n",
       "      <td>1.9576</td>\n",
       "      <td>1.9656</td>\n",
       "      <td>1.59</td>\n",
       "      <td>1.9568</td>\n",
       "      <td>1.7544</td>\n",
       "      <td>1.1692</td>\n",
       "      <td>1.2300</td>\n",
       "      <td>0.8280</td>\n",
       "      <td>1.1364</td>\n",
       "      <td>1.1536</td>\n",
       "      <td>1.4964</td>\n",
       "      <td>1.3852</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-03-25</th>\n",
       "      <td>1.8260</td>\n",
       "      <td>1.3164</td>\n",
       "      <td>1.9692</td>\n",
       "      <td>1.1800</td>\n",
       "      <td>1.9576</td>\n",
       "      <td>1.9656</td>\n",
       "      <td>1.59</td>\n",
       "      <td>1.9568</td>\n",
       "      <td>1.7544</td>\n",
       "      <td>1.1692</td>\n",
       "      <td>1.2300</td>\n",
       "      <td>0.8280</td>\n",
       "      <td>1.1364</td>\n",
       "      <td>1.1536</td>\n",
       "      <td>1.9068</td>\n",
       "      <td>1.1928</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-03-25</th>\n",
       "      <td>1.8260</td>\n",
       "      <td>1.3164</td>\n",
       "      <td>1.9692</td>\n",
       "      <td>1.1800</td>\n",
       "      <td>1.9576</td>\n",
       "      <td>1.9656</td>\n",
       "      <td>1.59</td>\n",
       "      <td>1.9568</td>\n",
       "      <td>1.7544</td>\n",
       "      <td>1.1692</td>\n",
       "      <td>1.2300</td>\n",
       "      <td>0.8280</td>\n",
       "      <td>1.1364</td>\n",
       "      <td>1.1536</td>\n",
       "      <td>1.9068</td>\n",
       "      <td>1.3852</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-03-25</th>\n",
       "      <td>1.8260</td>\n",
       "      <td>1.3164</td>\n",
       "      <td>1.9692</td>\n",
       "      <td>1.1800</td>\n",
       "      <td>1.9576</td>\n",
       "      <td>1.9656</td>\n",
       "      <td>1.59</td>\n",
       "      <td>1.9568</td>\n",
       "      <td>1.7544</td>\n",
       "      <td>1.1692</td>\n",
       "      <td>1.2300</td>\n",
       "      <td>0.8280</td>\n",
       "      <td>1.1364</td>\n",
       "      <td>1.2552</td>\n",
       "      <td>1.4964</td>\n",
       "      <td>1.1928</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-03-25</th>\n",
       "      <td>1.8260</td>\n",
       "      <td>1.3164</td>\n",
       "      <td>1.9692</td>\n",
       "      <td>1.1800</td>\n",
       "      <td>1.9576</td>\n",
       "      <td>1.9656</td>\n",
       "      <td>1.59</td>\n",
       "      <td>1.9568</td>\n",
       "      <td>1.7544</td>\n",
       "      <td>1.1692</td>\n",
       "      <td>1.2300</td>\n",
       "      <td>0.8280</td>\n",
       "      <td>1.1364</td>\n",
       "      <td>1.2552</td>\n",
       "      <td>1.4964</td>\n",
       "      <td>1.3852</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-03-25</th>\n",
       "      <td>1.8260</td>\n",
       "      <td>1.3164</td>\n",
       "      <td>1.9692</td>\n",
       "      <td>1.1800</td>\n",
       "      <td>1.9576</td>\n",
       "      <td>1.9656</td>\n",
       "      <td>1.59</td>\n",
       "      <td>1.9568</td>\n",
       "      <td>1.7544</td>\n",
       "      <td>1.1692</td>\n",
       "      <td>1.2300</td>\n",
       "      <td>0.8280</td>\n",
       "      <td>1.1364</td>\n",
       "      <td>1.2552</td>\n",
       "      <td>1.9068</td>\n",
       "      <td>1.1928</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-03-25</th>\n",
       "      <td>1.8260</td>\n",
       "      <td>1.3164</td>\n",
       "      <td>1.9692</td>\n",
       "      <td>1.1800</td>\n",
       "      <td>1.9576</td>\n",
       "      <td>1.9656</td>\n",
       "      <td>1.59</td>\n",
       "      <td>1.9568</td>\n",
       "      <td>1.7544</td>\n",
       "      <td>1.1692</td>\n",
       "      <td>1.2300</td>\n",
       "      <td>0.8280</td>\n",
       "      <td>1.1364</td>\n",
       "      <td>1.2552</td>\n",
       "      <td>1.9068</td>\n",
       "      <td>1.3852</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-03-25</th>\n",
       "      <td>1.8260</td>\n",
       "      <td>1.3164</td>\n",
       "      <td>1.9692</td>\n",
       "      <td>1.1800</td>\n",
       "      <td>1.9576</td>\n",
       "      <td>1.9656</td>\n",
       "      <td>1.59</td>\n",
       "      <td>1.9568</td>\n",
       "      <td>1.7544</td>\n",
       "      <td>1.1692</td>\n",
       "      <td>1.2300</td>\n",
       "      <td>1.2096</td>\n",
       "      <td>1.1464</td>\n",
       "      <td>1.1536</td>\n",
       "      <td>1.4964</td>\n",
       "      <td>1.1928</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-03-25</th>\n",
       "      <td>1.8260</td>\n",
       "      <td>1.3164</td>\n",
       "      <td>1.9692</td>\n",
       "      <td>1.1800</td>\n",
       "      <td>1.9576</td>\n",
       "      <td>1.9656</td>\n",
       "      <td>1.59</td>\n",
       "      <td>1.9568</td>\n",
       "      <td>1.7544</td>\n",
       "      <td>1.1692</td>\n",
       "      <td>1.2300</td>\n",
       "      <td>1.2096</td>\n",
       "      <td>1.1464</td>\n",
       "      <td>1.1536</td>\n",
       "      <td>1.4964</td>\n",
       "      <td>1.3852</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-03-25</th>\n",
       "      <td>1.8260</td>\n",
       "      <td>1.3164</td>\n",
       "      <td>1.9692</td>\n",
       "      <td>1.1800</td>\n",
       "      <td>1.9576</td>\n",
       "      <td>1.9656</td>\n",
       "      <td>1.59</td>\n",
       "      <td>1.9568</td>\n",
       "      <td>1.7544</td>\n",
       "      <td>1.1692</td>\n",
       "      <td>1.2300</td>\n",
       "      <td>1.2096</td>\n",
       "      <td>1.1464</td>\n",
       "      <td>1.1536</td>\n",
       "      <td>1.9068</td>\n",
       "      <td>1.1928</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-03-25</th>\n",
       "      <td>1.8260</td>\n",
       "      <td>1.3164</td>\n",
       "      <td>1.9692</td>\n",
       "      <td>1.1800</td>\n",
       "      <td>1.9576</td>\n",
       "      <td>1.9656</td>\n",
       "      <td>1.59</td>\n",
       "      <td>1.9568</td>\n",
       "      <td>1.7544</td>\n",
       "      <td>1.1692</td>\n",
       "      <td>1.2300</td>\n",
       "      <td>1.2096</td>\n",
       "      <td>1.1464</td>\n",
       "      <td>1.1536</td>\n",
       "      <td>1.9068</td>\n",
       "      <td>1.3852</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-03-25</th>\n",
       "      <td>1.8260</td>\n",
       "      <td>1.3164</td>\n",
       "      <td>1.9692</td>\n",
       "      <td>1.1800</td>\n",
       "      <td>1.9576</td>\n",
       "      <td>1.9656</td>\n",
       "      <td>1.59</td>\n",
       "      <td>1.9568</td>\n",
       "      <td>1.7544</td>\n",
       "      <td>1.1692</td>\n",
       "      <td>1.2300</td>\n",
       "      <td>1.2096</td>\n",
       "      <td>1.1464</td>\n",
       "      <td>1.2552</td>\n",
       "      <td>1.4964</td>\n",
       "      <td>1.1928</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-03-25</th>\n",
       "      <td>1.8260</td>\n",
       "      <td>1.3164</td>\n",
       "      <td>1.9692</td>\n",
       "      <td>1.1800</td>\n",
       "      <td>1.9576</td>\n",
       "      <td>1.9656</td>\n",
       "      <td>1.59</td>\n",
       "      <td>1.9568</td>\n",
       "      <td>1.7544</td>\n",
       "      <td>1.1692</td>\n",
       "      <td>1.2300</td>\n",
       "      <td>1.2096</td>\n",
       "      <td>1.1464</td>\n",
       "      <td>1.2552</td>\n",
       "      <td>1.4964</td>\n",
       "      <td>1.3852</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-03-25</th>\n",
       "      <td>1.8260</td>\n",
       "      <td>1.3164</td>\n",
       "      <td>1.9692</td>\n",
       "      <td>1.1800</td>\n",
       "      <td>1.9576</td>\n",
       "      <td>1.9656</td>\n",
       "      <td>1.59</td>\n",
       "      <td>1.9568</td>\n",
       "      <td>1.7544</td>\n",
       "      <td>1.1692</td>\n",
       "      <td>1.2300</td>\n",
       "      <td>1.2096</td>\n",
       "      <td>1.1464</td>\n",
       "      <td>1.2552</td>\n",
       "      <td>1.9068</td>\n",
       "      <td>1.1928</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-03-25</th>\n",
       "      <td>1.8260</td>\n",
       "      <td>1.3164</td>\n",
       "      <td>1.9692</td>\n",
       "      <td>1.1800</td>\n",
       "      <td>1.9576</td>\n",
       "      <td>1.9656</td>\n",
       "      <td>1.59</td>\n",
       "      <td>1.9568</td>\n",
       "      <td>1.7544</td>\n",
       "      <td>1.1692</td>\n",
       "      <td>1.2300</td>\n",
       "      <td>1.2096</td>\n",
       "      <td>1.1464</td>\n",
       "      <td>1.2552</td>\n",
       "      <td>1.9068</td>\n",
       "      <td>1.3852</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-03-25</th>\n",
       "      <td>1.8260</td>\n",
       "      <td>1.3164</td>\n",
       "      <td>1.9692</td>\n",
       "      <td>1.1800</td>\n",
       "      <td>1.9576</td>\n",
       "      <td>1.9656</td>\n",
       "      <td>1.59</td>\n",
       "      <td>1.9568</td>\n",
       "      <td>1.7544</td>\n",
       "      <td>1.1692</td>\n",
       "      <td>1.2300</td>\n",
       "      <td>1.2096</td>\n",
       "      <td>1.1364</td>\n",
       "      <td>1.1536</td>\n",
       "      <td>1.4964</td>\n",
       "      <td>1.1928</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-03-25</th>\n",
       "      <td>1.8260</td>\n",
       "      <td>1.3164</td>\n",
       "      <td>1.9692</td>\n",
       "      <td>1.1800</td>\n",
       "      <td>1.9576</td>\n",
       "      <td>1.9656</td>\n",
       "      <td>1.59</td>\n",
       "      <td>1.9568</td>\n",
       "      <td>1.7544</td>\n",
       "      <td>1.1692</td>\n",
       "      <td>1.2300</td>\n",
       "      <td>1.2096</td>\n",
       "      <td>1.1364</td>\n",
       "      <td>1.1536</td>\n",
       "      <td>1.4964</td>\n",
       "      <td>1.3852</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-03-25</th>\n",
       "      <td>1.8260</td>\n",
       "      <td>1.3164</td>\n",
       "      <td>1.9692</td>\n",
       "      <td>1.1800</td>\n",
       "      <td>1.9576</td>\n",
       "      <td>1.9656</td>\n",
       "      <td>1.59</td>\n",
       "      <td>1.9568</td>\n",
       "      <td>1.7544</td>\n",
       "      <td>1.1692</td>\n",
       "      <td>1.2300</td>\n",
       "      <td>1.2096</td>\n",
       "      <td>1.1364</td>\n",
       "      <td>1.1536</td>\n",
       "      <td>1.9068</td>\n",
       "      <td>1.1928</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-03-25</th>\n",
       "      <td>1.8260</td>\n",
       "      <td>1.3164</td>\n",
       "      <td>1.9692</td>\n",
       "      <td>1.1800</td>\n",
       "      <td>1.9576</td>\n",
       "      <td>1.9656</td>\n",
       "      <td>1.59</td>\n",
       "      <td>1.9568</td>\n",
       "      <td>1.7544</td>\n",
       "      <td>1.1692</td>\n",
       "      <td>1.2300</td>\n",
       "      <td>1.2096</td>\n",
       "      <td>1.1364</td>\n",
       "      <td>1.1536</td>\n",
       "      <td>1.9068</td>\n",
       "      <td>1.3852</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-03-25</th>\n",
       "      <td>1.8260</td>\n",
       "      <td>1.3164</td>\n",
       "      <td>1.9692</td>\n",
       "      <td>1.1800</td>\n",
       "      <td>1.9576</td>\n",
       "      <td>1.9656</td>\n",
       "      <td>1.59</td>\n",
       "      <td>1.9568</td>\n",
       "      <td>1.7544</td>\n",
       "      <td>1.1692</td>\n",
       "      <td>1.2300</td>\n",
       "      <td>1.2096</td>\n",
       "      <td>1.1364</td>\n",
       "      <td>1.2552</td>\n",
       "      <td>1.4964</td>\n",
       "      <td>1.1928</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-03-25</th>\n",
       "      <td>1.8260</td>\n",
       "      <td>1.3164</td>\n",
       "      <td>1.9692</td>\n",
       "      <td>1.1800</td>\n",
       "      <td>1.9576</td>\n",
       "      <td>1.9656</td>\n",
       "      <td>1.59</td>\n",
       "      <td>1.9568</td>\n",
       "      <td>1.7544</td>\n",
       "      <td>1.1692</td>\n",
       "      <td>1.2300</td>\n",
       "      <td>1.2096</td>\n",
       "      <td>1.1364</td>\n",
       "      <td>1.2552</td>\n",
       "      <td>1.4964</td>\n",
       "      <td>1.3852</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-03-25</th>\n",
       "      <td>1.8260</td>\n",
       "      <td>1.3164</td>\n",
       "      <td>1.9692</td>\n",
       "      <td>1.1800</td>\n",
       "      <td>1.9576</td>\n",
       "      <td>1.9656</td>\n",
       "      <td>1.59</td>\n",
       "      <td>1.9568</td>\n",
       "      <td>1.7544</td>\n",
       "      <td>1.1692</td>\n",
       "      <td>1.2300</td>\n",
       "      <td>1.2096</td>\n",
       "      <td>1.1364</td>\n",
       "      <td>1.2552</td>\n",
       "      <td>1.9068</td>\n",
       "      <td>1.1928</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-03-25</th>\n",
       "      <td>1.8260</td>\n",
       "      <td>1.3164</td>\n",
       "      <td>1.9692</td>\n",
       "      <td>1.1800</td>\n",
       "      <td>1.9576</td>\n",
       "      <td>1.9656</td>\n",
       "      <td>1.59</td>\n",
       "      <td>1.9568</td>\n",
       "      <td>1.7544</td>\n",
       "      <td>1.1692</td>\n",
       "      <td>1.2300</td>\n",
       "      <td>1.2096</td>\n",
       "      <td>1.1364</td>\n",
       "      <td>1.2552</td>\n",
       "      <td>1.9068</td>\n",
       "      <td>1.3852</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>11075584 rows × 16 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            Albanyprice25ma  Atlantaprice25ma  BaltimoreWashingtonprice25ma  \\\n",
       "Date                                                                          \n",
       "2015-01-04           1.1512            1.0564                        1.1916   \n",
       "2015-01-04           1.1512            1.0564                        1.1916   \n",
       "2015-01-04           1.1512            1.0564                        1.1916   \n",
       "2015-01-04           1.1512            1.0564                        1.1916   \n",
       "2015-01-04           1.1512            1.0564                        1.1916   \n",
       "2015-01-04           1.1512            1.0564                        1.1916   \n",
       "2015-01-04           1.1512            1.0564                        1.1916   \n",
       "2015-01-04           1.1512            1.0564                        1.1916   \n",
       "2015-01-04           1.1512            1.0564                        1.1916   \n",
       "2015-01-04           1.1512            1.0564                        1.1916   \n",
       "2015-01-04           1.1512            1.0564                        1.1916   \n",
       "2015-01-04           1.1512            1.0564                        1.1916   \n",
       "2015-01-04           1.1512            1.0564                        1.1916   \n",
       "2015-01-04           1.1512            1.0564                        1.1916   \n",
       "2015-01-04           1.1512            1.0564                        1.1916   \n",
       "2015-01-04           1.1512            1.0564                        1.1916   \n",
       "2015-01-04           1.1512            1.0564                        1.1916   \n",
       "2015-01-04           1.1512            1.0564                        1.1916   \n",
       "2015-01-04           1.1512            1.0564                        1.1916   \n",
       "2015-01-04           1.1512            1.0564                        1.1916   \n",
       "2015-01-04           1.1512            1.0564                        1.1916   \n",
       "2015-01-04           1.1512            1.0564                        1.1916   \n",
       "2015-01-04           1.1512            1.0564                        1.1916   \n",
       "2015-01-04           1.1512            1.0564                        1.1916   \n",
       "2015-01-04           1.1512            1.0564                        1.1916   \n",
       "2015-01-04           1.1512            1.0564                        1.1916   \n",
       "2015-01-04           1.1512            1.0564                        1.1916   \n",
       "2015-01-04           1.1512            1.0564                        1.1916   \n",
       "2015-01-04           1.1512            1.0564                        1.1916   \n",
       "2015-01-04           1.1512            1.0564                        1.1916   \n",
       "...                     ...               ...                           ...   \n",
       "2018-03-25           1.8260            1.3164                        1.9692   \n",
       "2018-03-25           1.8260            1.3164                        1.9692   \n",
       "2018-03-25           1.8260            1.3164                        1.9692   \n",
       "2018-03-25           1.8260            1.3164                        1.9692   \n",
       "2018-03-25           1.8260            1.3164                        1.9692   \n",
       "2018-03-25           1.8260            1.3164                        1.9692   \n",
       "2018-03-25           1.8260            1.3164                        1.9692   \n",
       "2018-03-25           1.8260            1.3164                        1.9692   \n",
       "2018-03-25           1.8260            1.3164                        1.9692   \n",
       "2018-03-25           1.8260            1.3164                        1.9692   \n",
       "2018-03-25           1.8260            1.3164                        1.9692   \n",
       "2018-03-25           1.8260            1.3164                        1.9692   \n",
       "2018-03-25           1.8260            1.3164                        1.9692   \n",
       "2018-03-25           1.8260            1.3164                        1.9692   \n",
       "2018-03-25           1.8260            1.3164                        1.9692   \n",
       "2018-03-25           1.8260            1.3164                        1.9692   \n",
       "2018-03-25           1.8260            1.3164                        1.9692   \n",
       "2018-03-25           1.8260            1.3164                        1.9692   \n",
       "2018-03-25           1.8260            1.3164                        1.9692   \n",
       "2018-03-25           1.8260            1.3164                        1.9692   \n",
       "2018-03-25           1.8260            1.3164                        1.9692   \n",
       "2018-03-25           1.8260            1.3164                        1.9692   \n",
       "2018-03-25           1.8260            1.3164                        1.9692   \n",
       "2018-03-25           1.8260            1.3164                        1.9692   \n",
       "2018-03-25           1.8260            1.3164                        1.9692   \n",
       "2018-03-25           1.8260            1.3164                        1.9692   \n",
       "2018-03-25           1.8260            1.3164                        1.9692   \n",
       "2018-03-25           1.8260            1.3164                        1.9692   \n",
       "2018-03-25           1.8260            1.3164                        1.9692   \n",
       "2018-03-25           1.8260            1.3164                        1.9692   \n",
       "\n",
       "            Boiseprice25ma  Bostonprice25ma  BuffaloRochesterprice25ma  \\\n",
       "Date                                                                     \n",
       "2015-01-04          1.0472           1.1844                     1.4152   \n",
       "2015-01-04          1.0472           1.1844                     1.4152   \n",
       "2015-01-04          1.0472           1.1844                     1.4152   \n",
       "2015-01-04          1.0472           1.1844                     1.4152   \n",
       "2015-01-04          1.0472           1.1844                     1.4152   \n",
       "2015-01-04          1.0472           1.1844                     1.4152   \n",
       "2015-01-04          1.0472           1.1844                     1.4152   \n",
       "2015-01-04          1.0472           1.1844                     1.4152   \n",
       "2015-01-04          1.0472           1.1844                     1.4152   \n",
       "2015-01-04          1.0472           1.1844                     1.4152   \n",
       "2015-01-04          1.0472           1.1844                     1.4152   \n",
       "2015-01-04          1.0472           1.1844                     1.4152   \n",
       "2015-01-04          1.0472           1.1844                     1.4152   \n",
       "2015-01-04          1.0472           1.1844                     1.4152   \n",
       "2015-01-04          1.0472           1.1844                     1.4152   \n",
       "2015-01-04          1.0472           1.1844                     1.4152   \n",
       "2015-01-04          1.0472           1.1844                     1.4152   \n",
       "2015-01-04          1.0472           1.1844                     1.4152   \n",
       "2015-01-04          1.0472           1.1844                     1.4152   \n",
       "2015-01-04          1.0472           1.1844                     1.4152   \n",
       "2015-01-04          1.0472           1.1844                     1.4152   \n",
       "2015-01-04          1.0472           1.1844                     1.4152   \n",
       "2015-01-04          1.0472           1.1844                     1.4152   \n",
       "2015-01-04          1.0472           1.1844                     1.4152   \n",
       "2015-01-04          1.0472           1.1844                     1.4152   \n",
       "2015-01-04          1.0472           1.1844                     1.4152   \n",
       "2015-01-04          1.0472           1.1844                     1.4152   \n",
       "2015-01-04          1.0472           1.1844                     1.4152   \n",
       "2015-01-04          1.0472           1.1844                     1.4152   \n",
       "2015-01-04          1.0472           1.1844                     1.4152   \n",
       "...                    ...              ...                        ...   \n",
       "2018-03-25          1.1800           1.9576                     1.9656   \n",
       "2018-03-25          1.1800           1.9576                     1.9656   \n",
       "2018-03-25          1.1800           1.9576                     1.9656   \n",
       "2018-03-25          1.1800           1.9576                     1.9656   \n",
       "2018-03-25          1.1800           1.9576                     1.9656   \n",
       "2018-03-25          1.1800           1.9576                     1.9656   \n",
       "2018-03-25          1.1800           1.9576                     1.9656   \n",
       "2018-03-25          1.1800           1.9576                     1.9656   \n",
       "2018-03-25          1.1800           1.9576                     1.9656   \n",
       "2018-03-25          1.1800           1.9576                     1.9656   \n",
       "2018-03-25          1.1800           1.9576                     1.9656   \n",
       "2018-03-25          1.1800           1.9576                     1.9656   \n",
       "2018-03-25          1.1800           1.9576                     1.9656   \n",
       "2018-03-25          1.1800           1.9576                     1.9656   \n",
       "2018-03-25          1.1800           1.9576                     1.9656   \n",
       "2018-03-25          1.1800           1.9576                     1.9656   \n",
       "2018-03-25          1.1800           1.9576                     1.9656   \n",
       "2018-03-25          1.1800           1.9576                     1.9656   \n",
       "2018-03-25          1.1800           1.9576                     1.9656   \n",
       "2018-03-25          1.1800           1.9576                     1.9656   \n",
       "2018-03-25          1.1800           1.9576                     1.9656   \n",
       "2018-03-25          1.1800           1.9576                     1.9656   \n",
       "2018-03-25          1.1800           1.9576                     1.9656   \n",
       "2018-03-25          1.1800           1.9576                     1.9656   \n",
       "2018-03-25          1.1800           1.9576                     1.9656   \n",
       "2018-03-25          1.1800           1.9576                     1.9656   \n",
       "2018-03-25          1.1800           1.9576                     1.9656   \n",
       "2018-03-25          1.1800           1.9576                     1.9656   \n",
       "2018-03-25          1.1800           1.9576                     1.9656   \n",
       "2018-03-25          1.1800           1.9576                     1.9656   \n",
       "\n",
       "            Californiaprice25ma  Charlotteprice25ma  Chicagoprice25ma  \\\n",
       "Date                                                                    \n",
       "2015-01-04                 1.00              1.1748            1.1788   \n",
       "2015-01-04                 1.00              1.1748            1.1788   \n",
       "2015-01-04                 1.00              1.1748            1.1788   \n",
       "2015-01-04                 1.00              1.1748            1.1788   \n",
       "2015-01-04                 1.00              1.1748            1.1788   \n",
       "2015-01-04                 1.00              1.1748            1.1788   \n",
       "2015-01-04                 1.00              1.1748            1.1788   \n",
       "2015-01-04                 1.00              1.1748            1.1788   \n",
       "2015-01-04                 1.00              1.1748            1.1788   \n",
       "2015-01-04                 1.00              1.1748            1.1788   \n",
       "2015-01-04                 1.00              1.1748            1.1788   \n",
       "2015-01-04                 1.00              1.1748            1.1788   \n",
       "2015-01-04                 1.00              1.1748            1.1788   \n",
       "2015-01-04                 1.00              1.1748            1.1788   \n",
       "2015-01-04                 1.00              1.1748            1.1788   \n",
       "2015-01-04                 1.00              1.1748            1.1788   \n",
       "2015-01-04                 1.00              1.1748            1.1788   \n",
       "2015-01-04                 1.00              1.1748            1.1788   \n",
       "2015-01-04                 1.00              1.1748            1.1788   \n",
       "2015-01-04                 1.00              1.1748            1.1788   \n",
       "2015-01-04                 1.00              1.1748            1.1788   \n",
       "2015-01-04                 1.00              1.1748            1.1788   \n",
       "2015-01-04                 1.00              1.1748            1.1788   \n",
       "2015-01-04                 1.00              1.1748            1.1788   \n",
       "2015-01-04                 1.00              1.1748            1.1788   \n",
       "2015-01-04                 1.00              1.1748            1.1788   \n",
       "2015-01-04                 1.00              1.1748            1.1788   \n",
       "2015-01-04                 1.00              1.1748            1.1788   \n",
       "2015-01-04                 1.00              1.1748            1.1788   \n",
       "2015-01-04                 1.00              1.1748            1.1788   \n",
       "...                         ...                 ...               ...   \n",
       "2018-03-25                 1.59              1.9568            1.7544   \n",
       "2018-03-25                 1.59              1.9568            1.7544   \n",
       "2018-03-25                 1.59              1.9568            1.7544   \n",
       "2018-03-25                 1.59              1.9568            1.7544   \n",
       "2018-03-25                 1.59              1.9568            1.7544   \n",
       "2018-03-25                 1.59              1.9568            1.7544   \n",
       "2018-03-25                 1.59              1.9568            1.7544   \n",
       "2018-03-25                 1.59              1.9568            1.7544   \n",
       "2018-03-25                 1.59              1.9568            1.7544   \n",
       "2018-03-25                 1.59              1.9568            1.7544   \n",
       "2018-03-25                 1.59              1.9568            1.7544   \n",
       "2018-03-25                 1.59              1.9568            1.7544   \n",
       "2018-03-25                 1.59              1.9568            1.7544   \n",
       "2018-03-25                 1.59              1.9568            1.7544   \n",
       "2018-03-25                 1.59              1.9568            1.7544   \n",
       "2018-03-25                 1.59              1.9568            1.7544   \n",
       "2018-03-25                 1.59              1.9568            1.7544   \n",
       "2018-03-25                 1.59              1.9568            1.7544   \n",
       "2018-03-25                 1.59              1.9568            1.7544   \n",
       "2018-03-25                 1.59              1.9568            1.7544   \n",
       "2018-03-25                 1.59              1.9568            1.7544   \n",
       "2018-03-25                 1.59              1.9568            1.7544   \n",
       "2018-03-25                 1.59              1.9568            1.7544   \n",
       "2018-03-25                 1.59              1.9568            1.7544   \n",
       "2018-03-25                 1.59              1.9568            1.7544   \n",
       "2018-03-25                 1.59              1.9568            1.7544   \n",
       "2018-03-25                 1.59              1.9568            1.7544   \n",
       "2018-03-25                 1.59              1.9568            1.7544   \n",
       "2018-03-25                 1.59              1.9568            1.7544   \n",
       "2018-03-25                 1.59              1.9568            1.7544   \n",
       "\n",
       "            CincinnatiDaytonprice25ma  Columbusprice25ma  \\\n",
       "Date                                                       \n",
       "2015-01-04                     0.9836             1.0092   \n",
       "2015-01-04                     0.9836             1.0092   \n",
       "2015-01-04                     0.9836             1.0092   \n",
       "2015-01-04                     0.9836             1.0092   \n",
       "2015-01-04                     0.9836             1.0092   \n",
       "2015-01-04                     0.9836             1.0092   \n",
       "2015-01-04                     0.9836             1.0092   \n",
       "2015-01-04                     0.9836             1.0092   \n",
       "2015-01-04                     0.9836             1.0092   \n",
       "2015-01-04                     0.9836             1.0092   \n",
       "2015-01-04                     0.9836             1.0092   \n",
       "2015-01-04                     0.9836             1.0092   \n",
       "2015-01-04                     0.9836             1.0092   \n",
       "2015-01-04                     0.9836             1.0092   \n",
       "2015-01-04                     0.9836             1.0092   \n",
       "2015-01-04                     0.9836             1.0092   \n",
       "2015-01-04                     0.9836             1.0092   \n",
       "2015-01-04                     0.9836             1.0092   \n",
       "2015-01-04                     0.9836             1.0092   \n",
       "2015-01-04                     0.9836             1.0092   \n",
       "2015-01-04                     0.9836             1.0092   \n",
       "2015-01-04                     0.9836             1.0092   \n",
       "2015-01-04                     0.9836             1.0092   \n",
       "2015-01-04                     0.9836             1.0092   \n",
       "2015-01-04                     0.9836             1.0092   \n",
       "2015-01-04                     0.9836             1.0092   \n",
       "2015-01-04                     0.9836             1.0092   \n",
       "2015-01-04                     0.9836             1.0092   \n",
       "2015-01-04                     0.9836             1.0092   \n",
       "2015-01-04                     0.9836             1.0092   \n",
       "...                               ...                ...   \n",
       "2018-03-25                     1.1692             1.2300   \n",
       "2018-03-25                     1.1692             1.2300   \n",
       "2018-03-25                     1.1692             1.2300   \n",
       "2018-03-25                     1.1692             1.2300   \n",
       "2018-03-25                     1.1692             1.2300   \n",
       "2018-03-25                     1.1692             1.2300   \n",
       "2018-03-25                     1.1692             1.2300   \n",
       "2018-03-25                     1.1692             1.2300   \n",
       "2018-03-25                     1.1692             1.2300   \n",
       "2018-03-25                     1.1692             1.2300   \n",
       "2018-03-25                     1.1692             1.2300   \n",
       "2018-03-25                     1.1692             1.2300   \n",
       "2018-03-25                     1.1692             1.2300   \n",
       "2018-03-25                     1.1692             1.2300   \n",
       "2018-03-25                     1.1692             1.2300   \n",
       "2018-03-25                     1.1692             1.2300   \n",
       "2018-03-25                     1.1692             1.2300   \n",
       "2018-03-25                     1.1692             1.2300   \n",
       "2018-03-25                     1.1692             1.2300   \n",
       "2018-03-25                     1.1692             1.2300   \n",
       "2018-03-25                     1.1692             1.2300   \n",
       "2018-03-25                     1.1692             1.2300   \n",
       "2018-03-25                     1.1692             1.2300   \n",
       "2018-03-25                     1.1692             1.2300   \n",
       "2018-03-25                     1.1692             1.2300   \n",
       "2018-03-25                     1.1692             1.2300   \n",
       "2018-03-25                     1.1692             1.2300   \n",
       "2018-03-25                     1.1692             1.2300   \n",
       "2018-03-25                     1.1692             1.2300   \n",
       "2018-03-25                     1.1692             1.2300   \n",
       "\n",
       "            DallasFtWorthprice25ma  Denverprice25ma  Detroitprice25ma  \\\n",
       "Date                                                                    \n",
       "2015-01-04                  0.7480           1.0840            1.0436   \n",
       "2015-01-04                  0.7480           1.0840            1.0436   \n",
       "2015-01-04                  0.7480           1.0840            1.0436   \n",
       "2015-01-04                  0.7480           1.0840            1.0436   \n",
       "2015-01-04                  0.7480           1.0840            1.6252   \n",
       "2015-01-04                  0.7480           1.0840            1.6252   \n",
       "2015-01-04                  0.7480           1.0840            1.6252   \n",
       "2015-01-04                  0.7480           1.0840            1.6252   \n",
       "2015-01-04                  0.7480           1.3172            1.0436   \n",
       "2015-01-04                  0.7480           1.3172            1.0436   \n",
       "2015-01-04                  0.7480           1.3172            1.0436   \n",
       "2015-01-04                  0.7480           1.3172            1.0436   \n",
       "2015-01-04                  0.7480           1.3172            1.6252   \n",
       "2015-01-04                  0.7480           1.3172            1.6252   \n",
       "2015-01-04                  0.7480           1.3172            1.6252   \n",
       "2015-01-04                  0.7480           1.3172            1.6252   \n",
       "2015-01-04                  1.3492           1.0840            1.0436   \n",
       "2015-01-04                  1.3492           1.0840            1.0436   \n",
       "2015-01-04                  1.3492           1.0840            1.0436   \n",
       "2015-01-04                  1.3492           1.0840            1.0436   \n",
       "2015-01-04                  1.3492           1.0840            1.6252   \n",
       "2015-01-04                  1.3492           1.0840            1.6252   \n",
       "2015-01-04                  1.3492           1.0840            1.6252   \n",
       "2015-01-04                  1.3492           1.0840            1.6252   \n",
       "2015-01-04                  1.3492           1.3172            1.0436   \n",
       "2015-01-04                  1.3492           1.3172            1.0436   \n",
       "2015-01-04                  1.3492           1.3172            1.0436   \n",
       "2015-01-04                  1.3492           1.3172            1.0436   \n",
       "2015-01-04                  1.3492           1.3172            1.6252   \n",
       "2015-01-04                  1.3492           1.3172            1.6252   \n",
       "...                            ...              ...               ...   \n",
       "2018-03-25                  0.8280           1.1464            1.1536   \n",
       "2018-03-25                  0.8280           1.1464            1.1536   \n",
       "2018-03-25                  0.8280           1.1464            1.2552   \n",
       "2018-03-25                  0.8280           1.1464            1.2552   \n",
       "2018-03-25                  0.8280           1.1464            1.2552   \n",
       "2018-03-25                  0.8280           1.1464            1.2552   \n",
       "2018-03-25                  0.8280           1.1364            1.1536   \n",
       "2018-03-25                  0.8280           1.1364            1.1536   \n",
       "2018-03-25                  0.8280           1.1364            1.1536   \n",
       "2018-03-25                  0.8280           1.1364            1.1536   \n",
       "2018-03-25                  0.8280           1.1364            1.2552   \n",
       "2018-03-25                  0.8280           1.1364            1.2552   \n",
       "2018-03-25                  0.8280           1.1364            1.2552   \n",
       "2018-03-25                  0.8280           1.1364            1.2552   \n",
       "2018-03-25                  1.2096           1.1464            1.1536   \n",
       "2018-03-25                  1.2096           1.1464            1.1536   \n",
       "2018-03-25                  1.2096           1.1464            1.1536   \n",
       "2018-03-25                  1.2096           1.1464            1.1536   \n",
       "2018-03-25                  1.2096           1.1464            1.2552   \n",
       "2018-03-25                  1.2096           1.1464            1.2552   \n",
       "2018-03-25                  1.2096           1.1464            1.2552   \n",
       "2018-03-25                  1.2096           1.1464            1.2552   \n",
       "2018-03-25                  1.2096           1.1364            1.1536   \n",
       "2018-03-25                  1.2096           1.1364            1.1536   \n",
       "2018-03-25                  1.2096           1.1364            1.1536   \n",
       "2018-03-25                  1.2096           1.1364            1.1536   \n",
       "2018-03-25                  1.2096           1.1364            1.2552   \n",
       "2018-03-25                  1.2096           1.1364            1.2552   \n",
       "2018-03-25                  1.2096           1.1364            1.2552   \n",
       "2018-03-25                  1.2096           1.1364            1.2552   \n",
       "\n",
       "            GrandRapidsprice25ma  GreatLakesprice25ma  \n",
       "Date                                                   \n",
       "2015-01-04                1.1152               1.0948  \n",
       "2015-01-04                1.1152               1.5632  \n",
       "2015-01-04                1.8052               1.0948  \n",
       "2015-01-04                1.8052               1.5632  \n",
       "2015-01-04                1.1152               1.0948  \n",
       "2015-01-04                1.1152               1.5632  \n",
       "2015-01-04                1.8052               1.0948  \n",
       "2015-01-04                1.8052               1.5632  \n",
       "2015-01-04                1.1152               1.0948  \n",
       "2015-01-04                1.1152               1.5632  \n",
       "2015-01-04                1.8052               1.0948  \n",
       "2015-01-04                1.8052               1.5632  \n",
       "2015-01-04                1.1152               1.0948  \n",
       "2015-01-04                1.1152               1.5632  \n",
       "2015-01-04                1.8052               1.0948  \n",
       "2015-01-04                1.8052               1.5632  \n",
       "2015-01-04                1.1152               1.0948  \n",
       "2015-01-04                1.1152               1.5632  \n",
       "2015-01-04                1.8052               1.0948  \n",
       "2015-01-04                1.8052               1.5632  \n",
       "2015-01-04                1.1152               1.0948  \n",
       "2015-01-04                1.1152               1.5632  \n",
       "2015-01-04                1.8052               1.0948  \n",
       "2015-01-04                1.8052               1.5632  \n",
       "2015-01-04                1.1152               1.0948  \n",
       "2015-01-04                1.1152               1.5632  \n",
       "2015-01-04                1.8052               1.0948  \n",
       "2015-01-04                1.8052               1.5632  \n",
       "2015-01-04                1.1152               1.0948  \n",
       "2015-01-04                1.1152               1.5632  \n",
       "...                          ...                  ...  \n",
       "2018-03-25                1.9068               1.1928  \n",
       "2018-03-25                1.9068               1.3852  \n",
       "2018-03-25                1.4964               1.1928  \n",
       "2018-03-25                1.4964               1.3852  \n",
       "2018-03-25                1.9068               1.1928  \n",
       "2018-03-25                1.9068               1.3852  \n",
       "2018-03-25                1.4964               1.1928  \n",
       "2018-03-25                1.4964               1.3852  \n",
       "2018-03-25                1.9068               1.1928  \n",
       "2018-03-25                1.9068               1.3852  \n",
       "2018-03-25                1.4964               1.1928  \n",
       "2018-03-25                1.4964               1.3852  \n",
       "2018-03-25                1.9068               1.1928  \n",
       "2018-03-25                1.9068               1.3852  \n",
       "2018-03-25                1.4964               1.1928  \n",
       "2018-03-25                1.4964               1.3852  \n",
       "2018-03-25                1.9068               1.1928  \n",
       "2018-03-25                1.9068               1.3852  \n",
       "2018-03-25                1.4964               1.1928  \n",
       "2018-03-25                1.4964               1.3852  \n",
       "2018-03-25                1.9068               1.1928  \n",
       "2018-03-25                1.9068               1.3852  \n",
       "2018-03-25                1.4964               1.1928  \n",
       "2018-03-25                1.4964               1.3852  \n",
       "2018-03-25                1.9068               1.1928  \n",
       "2018-03-25                1.9068               1.3852  \n",
       "2018-03-25                1.4964               1.1928  \n",
       "2018-03-25                1.4964               1.3852  \n",
       "2018-03-25                1.9068               1.1928  \n",
       "2018-03-25                1.9068               1.3852  \n",
       "\n",
       "[11075584 rows x 16 columns]"
      ]
     },
     "execution_count": 76,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "graph_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv('avocado.csv')\n",
    "df['Date'] = pd.to_datetime( df['Date'] )\n",
    "df = df[ df['type']=='conventional' ]\n",
    "df.sort_values('Date', ascending=True, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "California\n",
      "Philadelphia\n",
      "Southeast\n",
      "BuffaloRochester\n",
      "LasVegas\n",
      "Orlando\n",
      "Spokane\n",
      "Boston\n",
      "LosAngeles\n",
      "NorthernNewEngland\n",
      "StLouis\n",
      "Jacksonville\n",
      "Boise\n",
      "Northeast\n",
      "Syracuse\n",
      "BaltimoreWashington\n",
      "MiamiFtLauderdale\n",
      "NewYork\n",
      "Tampa\n",
      "Atlanta\n",
      "Midsouth\n",
      "NewOrleansMobile\n",
      "TotalUS\n",
      "Louisville\n",
      "WestTexNewMexico\n",
      "SouthCentral\n",
      "Indianapolis\n",
      "Roanoke\n",
      "GrandRapids\n",
      "Denver\n",
      "RichmondNorfolk\n",
      "Sacramento\n",
      "DallasFtWorth\n",
      "GreatLakes\n",
      "RaleighGreensboro\n",
      "SanDiego\n",
      "Columbus\n",
      "PhoenixTucson\n",
      "HarrisburgScranton\n",
      "SanFrancisco\n",
      "CincinnatiDayton\n",
      "HartfordSpringfield\n",
      "Plains\n",
      "Seattle\n",
      "Chicago\n",
      "Houston\n",
      "Pittsburgh\n",
      "SouthCarolina\n",
      "Charlotte\n",
      "Portland\n",
      "Albany\n",
      "Detroit\n",
      "Nashville\n",
      "West\n"
     ]
    }
   ],
   "source": [
    "graph_df = pd.DataFrame()\n",
    "\n",
    "for region in df['region'].unique()[:]:\n",
    "    print(region)\n",
    "    region_df  = df.copy()[ df['region']==region ]\n",
    "    region_df['Date'] = pd.to_datetime(region_df['Date'])\n",
    "    region_df.set_index('Date',inplace=True)\n",
    "    region_df[f'{region}price25ma'] = region_df['AveragePrice'].rolling(25).mean()\n",
    "\n",
    "    if graph_df.empty:\n",
    "        graph_df = region_df[[f'{region}price25ma']]\n",
    "    \n",
    "    else:\n",
    "        graph_df = graph_df.join(region_df[f'{region}price25ma'])\n",
    "# graph_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "graph_df.dropna().plot(figsize=(10,10),legend=False);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}