climate-impacts.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import geopandas as gpd\n",
    "import numpy as np\n",
    "import os\n",
    "pd.set_option('display.max_columns', None)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "food_imports = gpd.read_file('./output-data/food-imports-ports.geojson')\n",
    "unscaled_full_production = gpd.read_file('./output-data/full-production-2017.csv')\n",
    "unscaled_grown_production = pd.read_csv('./output-data/unscaled-grown-production.csv')\n",
    "scaled_production = gpd.read_file('./output-data/county-population-consumption-production-scaled.geojson')\n",
    "ratios = {'Corn': 174.84829232966663, 'Rice': 5.156783499461673, 'Peanuts': 3.15457044814735, 'Sweet corn': 1.636987511629199, 'Wheat': 3.281916724758619, 'Oats': 1.7329857194135225, 'Potatoes': 2.931791059989706, 'Onions': 2.8503840117764994, 'Cucumbers': 3.115981632235308, 'Green peas': 5.416553229173735, 'Tomatoes': 2.5560519152548813, 'Apples': 1.5020456529990078, 'Grapes': 6.4820982243570855, 'Other citrus fruits': 2.8528488412981896, 'Carrots': 2.4943493694156884, 'Oranges': 1.584587706886048, 'Peppers': 0.15375932413546345, 'Lettuce': 2.0750735624121233, 'Cabbage': 1.4767277311642333, 'Celery': 0.1834709173570575, 'Radishes': 0.04746075793112545, 'Tree nuts': 3.3160916577446526, 'Other grain': 0.7188113045533738, 'Broccoli and cauliflower': 1.5729025980419507, 'Stone fruits': 0.3209874536828098, 'Berries': 0.2566350685815907, 'Legumes': 1.3642847984977902, 'Melons': 5.240491816440172, 'Bananas': 2.8148557245952683, 'Tropical fruits': 3.1019642062498285}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "appdat = pd.read_csv('./input-data/climate-impact/appdat.csv')\n",
    "loss = pd.read_csv('./input-data/climate-impact/county_loss.csv')\n",
    "loss_id = pd.read_csv('./input-data/climate-impact/county_loss_id.csv')\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## General Approach:\n",
    "$$\\frac{{(\\text{{unscaled\\_grown\\_production}} \\times \\text{{climate\\_impact}}) + \\text{{imported\\_production}}}}{{\\text{{ratio}}}} = \\text{{climate\\_stressed\\_production}}$$\n",
    "\n",
    "`unscaled_grown_production` = the number of calories of a crop grown in a county before it is scaled to consumption.  \n",
    "`climate_impact` = the heat or drought impact to a crop in a county.  \n",
    "`imported_production` = the number of calories of a crop imported into a county.  \n",
    "`ratio` = the ratio of produced food to consumed food in a county. This is the number that is used to scale production to consumption.  \n",
    "`climate_stressed_production` = The calories of production in a county in year of heat stress or climate stress."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "# drop appdat Unnamed: 0 column\n",
    "appdat.drop('Unnamed: 0', axis=1, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>state</th>\n",
       "      <th>county</th>\n",
       "      <th>crop</th>\n",
       "      <th>average</th>\n",
       "      <th>event</th>\n",
       "      <th>hyp_loss</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>CA</td>\n",
       "      <td>Alameda</td>\n",
       "      <td>Tomatoes</td>\n",
       "      <td>-1.9</td>\n",
       "      <td>Drought</td>\n",
       "      <td>-2.28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>CA</td>\n",
       "      <td>Alpine</td>\n",
       "      <td>Tomatoes</td>\n",
       "      <td>-6.8</td>\n",
       "      <td>Drought</td>\n",
       "      <td>-8.16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>CA</td>\n",
       "      <td>Amador</td>\n",
       "      <td>Tomatoes</td>\n",
       "      <td>-7.0</td>\n",
       "      <td>Drought</td>\n",
       "      <td>-8.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>CA</td>\n",
       "      <td>Butte</td>\n",
       "      <td>Tomatoes</td>\n",
       "      <td>-3.8</td>\n",
       "      <td>Drought</td>\n",
       "      <td>-4.56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>CA</td>\n",
       "      <td>Calaveras</td>\n",
       "      <td>Tomatoes</td>\n",
       "      <td>-6.7</td>\n",
       "      <td>Drought</td>\n",
       "      <td>-8.04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54750</th>\n",
       "      <td>TX</td>\n",
       "      <td>Wood</td>\n",
       "      <td>Tomatoes</td>\n",
       "      <td>-7.1</td>\n",
       "      <td>Extreme heat</td>\n",
       "      <td>-8.52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54751</th>\n",
       "      <td>TX</td>\n",
       "      <td>Yoakum</td>\n",
       "      <td>Tomatoes</td>\n",
       "      <td>-1.9</td>\n",
       "      <td>Extreme heat</td>\n",
       "      <td>-2.28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54752</th>\n",
       "      <td>TX</td>\n",
       "      <td>Young</td>\n",
       "      <td>Tomatoes</td>\n",
       "      <td>-15.6</td>\n",
       "      <td>Extreme heat</td>\n",
       "      <td>-18.72</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54753</th>\n",
       "      <td>TX</td>\n",
       "      <td>Zapata</td>\n",
       "      <td>Tomatoes</td>\n",
       "      <td>-7.7</td>\n",
       "      <td>Extreme heat</td>\n",
       "      <td>-9.24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54754</th>\n",
       "      <td>TX</td>\n",
       "      <td>Zavala</td>\n",
       "      <td>Tomatoes</td>\n",
       "      <td>-3.9</td>\n",
       "      <td>Extreme heat</td>\n",
       "      <td>-4.68</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>54755 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      state     county      crop  average         event  hyp_loss\n",
       "0        CA    Alameda  Tomatoes     -1.9       Drought     -2.28\n",
       "1        CA     Alpine  Tomatoes     -6.8       Drought     -8.16\n",
       "2        CA     Amador  Tomatoes     -7.0       Drought     -8.40\n",
       "3        CA      Butte  Tomatoes     -3.8       Drought     -4.56\n",
       "4        CA  Calaveras  Tomatoes     -6.7       Drought     -8.04\n",
       "...     ...        ...       ...      ...           ...       ...\n",
       "54750    TX       Wood  Tomatoes     -7.1  Extreme heat     -8.52\n",
       "54751    TX     Yoakum  Tomatoes     -1.9  Extreme heat     -2.28\n",
       "54752    TX      Young  Tomatoes    -15.6  Extreme heat    -18.72\n",
       "54753    TX     Zapata  Tomatoes     -7.7  Extreme heat     -9.24\n",
       "54754    TX     Zavala  Tomatoes     -3.9  Extreme heat     -4.68\n",
       "\n",
       "[54755 rows x 6 columns]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "appdat"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
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       "      <th></th>\n",
       "      <th>geoid</th>\n",
       "      <th>statefp</th>\n",
       "      <th>countyfp</th>\n",
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       "      <th>pixels_Sweet corn</th>\n",
       "      <th>pixels_Wheat flour</th>\n",
       "      <th>pixels_Oat flour</th>\n",
       "      <th>pixels_Potatoes</th>\n",
       "      <th>pixels_Onions</th>\n",
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       "      <th>pixels_Green peas</th>\n",
       "      <th>pixels_Tomatoes</th>\n",
       "      <th>pixels_Apples</th>\n",
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       "      <th>pixels_Other citrus fruits</th>\n",
       "      <th>pixels_Carrots</th>\n",
       "      <th>pixels_Oranges</th>\n",
       "      <th>pixels_Peppers</th>\n",
       "      <th>pixels_Lettuce</th>\n",
       "      <th>pixels_Cabbage</th>\n",
       "      <th>pixels_Celery</th>\n",
       "      <th>pixels_Radishes</th>\n",
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       "      <th>kcal_Lettuce</th>\n",
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       "      <th>kcal_Cabbage</th>\n",
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       "      <th>kg_Celery</th>\n",
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       "      <th>pixels_Tree nuts</th>\n",
       "      <th>kcal_Tree nuts</th>\n",
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       "      <th>pixels_Other grain</th>\n",
       "      <th>kcal_Other grain</th>\n",
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       "      <th>pixels_Broccoli and cauliflower</th>\n",
       "      <th>kcal_Broccoli and cauliflower</th>\n",
       "      <th>kg_Broccoli and cauliflower</th>\n",
       "      <th>pixels_Stone fruits</th>\n",
       "      <th>kcal_Stone fruits</th>\n",
       "      <th>kg_Stone fruits</th>\n",
       "      <th>pixels_Berries</th>\n",
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       "      <th>pixels_Legumes</th>\n",
       "      <th>kcal_Legumes</th>\n",
       "      <th>kg_Legumes</th>\n",
       "      <th>pixels_Melons</th>\n",
       "      <th>kcal_Melons</th>\n",
       "      <th>kg_Melons</th>\n",
       "      <th>pixels_Bananas</th>\n",
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       "      <td>Lancaster</td>\n",
       "      <td>Lancaster County</td>\n",
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       "      <td>A</td>\n",
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       "      <td>Nebraska</td>\n",
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       "      <td>2196860436080.3083</td>\n",
       "      <td>601880018.328</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4597229956.786146</td>\n",
       "      <td>1377241.918006929</td>\n",
       "      <td>108283906.32795389</td>\n",
       "      <td>27836.479775823624</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>439</td>\n",
       "      <td>124661310.54732545</td>\n",
       "      <td>36882.044540628835</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>31129</td>\n",
       "      <td>31</td>\n",
       "      <td>129</td>\n",
       "      <td>835886</td>\n",
       "      <td>Nuckolls</td>\n",
       "      <td>Nuckolls County</td>\n",
       "      <td>6</td>\n",
       "      <td>H1</td>\n",
       "      <td>G4020</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>A</td>\n",
       "      <td>1489645185</td>\n",
       "      <td>1718484</td>\n",
       "      <td>40.1764918</td>\n",
       "      <td>-98.0468422</td>\n",
       "      <td>492281</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>51658</td>\n",
       "      <td>1569</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Nebraska</td>\n",
       "      <td>NE</td>\n",
       "      <td>1938362722870.8394</td>\n",
       "      <td>531058674.46427274</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>53057128040.13824</td>\n",
       "      <td>15894897.900000434</td>\n",
       "      <td>502655174.64070904</td>\n",
       "      <td>129217.26854516943</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>31101</td>\n",
       "      <td>31</td>\n",
       "      <td>101</td>\n",
       "      <td>835872</td>\n",
       "      <td>Keith</td>\n",
       "      <td>Keith County</td>\n",
       "      <td>6</td>\n",
       "      <td>H1</td>\n",
       "      <td>G4020</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>A</td>\n",
       "      <td>2749903240</td>\n",
       "      <td>124629167</td>\n",
       "      <td>41.1942448</td>\n",
       "      <td>-101.6444493</td>\n",
       "      <td>489931</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>130044</td>\n",
       "      <td>7521</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>7954</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Nebraska</td>\n",
       "      <td>NE</td>\n",
       "      <td>1929109567866.3877</td>\n",
       "      <td>528523561.6222353</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>133566169012.57767</td>\n",
       "      <td>40013862.3738367</td>\n",
       "      <td>2409477099.0903587</td>\n",
       "      <td>619402.8532365961</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4268627887.0917025</td>\n",
       "      <td>1629247.2851495047</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4131</td>\n",
       "      <td>1261239370.0991397</td>\n",
       "      <td>371550.14703634515</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4779</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>31137</td>\n",
       "      <td>31</td>\n",
       "      <td>137</td>\n",
       "      <td>835890</td>\n",
       "      <td>Phelps</td>\n",
       "      <td>Phelps County</td>\n",
       "      <td>6</td>\n",
       "      <td>H1</td>\n",
       "      <td>G4020</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>A</td>\n",
       "      <td>1398048634</td>\n",
       "      <td>1646526</td>\n",
       "      <td>40.5163647</td>\n",
       "      <td>-99.4065568</td>\n",
       "      <td>719100</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>7193</td>\n",
       "      <td>757</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Nebraska</td>\n",
       "      <td>NE</td>\n",
       "      <td>2831465431362.211</td>\n",
       "      <td>775744529.6634616</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7387818382.297308</td>\n",
       "      <td>2213248.685483432</td>\n",
       "      <td>242517506.18420443</td>\n",
       "      <td>62343.83192396001</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>None</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",
       "      <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",
       "      <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",
       "      <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",
       "      <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",
       "      <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",
       "      <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>3103</th>\n",
       "      <td>44009</td>\n",
       "      <td>44</td>\n",
       "      <td>9</td>\n",
       "      <td>1219782</td>\n",
       "      <td>Washington</td>\n",
       "      <td>Washington County</td>\n",
       "      <td>6</td>\n",
       "      <td>H4</td>\n",
       "      <td>G4020</td>\n",
       "      <td>148.0</td>\n",
       "      <td>39300.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>N</td>\n",
       "      <td>852827571</td>\n",
       "      <td>604769755</td>\n",
       "      <td>41.396792</td>\n",
       "      <td>-71.620282</td>\n",
       "      <td>9025</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>151</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Rhode Island</td>\n",
       "      <td>RI</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>237180237.37130177</td>\n",
       "      <td>410346.43136094674</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3104</th>\n",
       "      <td>44007</td>\n",
       "      <td>44</td>\n",
       "      <td>7</td>\n",
       "      <td>1219781</td>\n",
       "      <td>Providence</td>\n",
       "      <td>Providence County</td>\n",
       "      <td>6</td>\n",
       "      <td>H4</td>\n",
       "      <td>G4020</td>\n",
       "      <td>148.0</td>\n",
       "      <td>39300.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>N</td>\n",
       "      <td>1060552463</td>\n",
       "      <td>67870199</td>\n",
       "      <td>41.8697678</td>\n",
       "      <td>-71.5786246</td>\n",
       "      <td>3049</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>296</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Rhode Island</td>\n",
       "      <td>RI</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>509382432.0</td>\n",
       "      <td>1088424.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3105</th>\n",
       "      <td>44001</td>\n",
       "      <td>44</td>\n",
       "      <td>1</td>\n",
       "      <td>1219777</td>\n",
       "      <td>Bristol</td>\n",
       "      <td>Bristol County</td>\n",
       "      <td>6</td>\n",
       "      <td>H4</td>\n",
       "      <td>G4020</td>\n",
       "      <td>148.0</td>\n",
       "      <td>39300.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>N</td>\n",
       "      <td>62500772</td>\n",
       "      <td>53359134</td>\n",
       "      <td>41.7068397</td>\n",
       "      <td>-71.2866874</td>\n",
       "      <td>391</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Rhode Island</td>\n",
       "      <td>RI</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3106</th>\n",
       "      <td>44005</td>\n",
       "      <td>44</td>\n",
       "      <td>5</td>\n",
       "      <td>1219779</td>\n",
       "      <td>Newport</td>\n",
       "      <td>Newport County</td>\n",
       "      <td>6</td>\n",
       "      <td>H4</td>\n",
       "      <td>G4020</td>\n",
       "      <td>148.0</td>\n",
       "      <td>39300.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>N</td>\n",
       "      <td>265293780</td>\n",
       "      <td>547001789</td>\n",
       "      <td>41.5010449</td>\n",
       "      <td>-71.2830626</td>\n",
       "      <td>4613</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1201</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Rhode Island</td>\n",
       "      <td>RI</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1886446788.628698</td>\n",
       "      <td>3263748.768639053</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>135</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3107</th>\n",
       "      <td>44003</td>\n",
       "      <td>44</td>\n",
       "      <td>3</td>\n",
       "      <td>1219778</td>\n",
       "      <td>Kent</td>\n",
       "      <td>Kent County</td>\n",
       "      <td>6</td>\n",
       "      <td>H4</td>\n",
       "      <td>G4020</td>\n",
       "      <td>148.0</td>\n",
       "      <td>39300.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>N</td>\n",
       "      <td>436588773</td>\n",
       "      <td>50686111</td>\n",
       "      <td>41.675118</td>\n",
       "      <td>-71.5802819</td>\n",
       "      <td>1068</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>115</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Rhode Island</td>\n",
       "      <td>RI</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>362</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3108 rows × 110 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      geoid statefp countyfp countyns        name           namelsad lsad   \n",
       "0     31039      31       39   835841      Cuming      Cuming County    6  \\\n",
       "1     31109      31      109   835876   Lancaster   Lancaster County    6   \n",
       "2     31129      31      129   835886    Nuckolls    Nuckolls County    6   \n",
       "3     31101      31      101   835872       Keith       Keith County    6   \n",
       "4     31137      31      137   835890      Phelps      Phelps County    6   \n",
       "...     ...     ...      ...      ...         ...                ...  ...   \n",
       "3103  44009      44        9  1219782  Washington  Washington County    6   \n",
       "3104  44007      44        7  1219781  Providence  Providence County    6   \n",
       "3105  44001      44        1  1219777     Bristol     Bristol County    6   \n",
       "3106  44005      44        5  1219779     Newport     Newport County    6   \n",
       "3107  44003      44        3  1219778        Kent        Kent County    6   \n",
       "\n",
       "     classfp  mtfcc  csafp   cbsafp metdivfp funcstat       aland     awater   \n",
       "0         H1  G4020    0.0      0.0      0.0        A  1477645345   10690204  \\\n",
       "1         H1  G4020  339.0  30700.0      0.0        A  2169272970   22847034   \n",
       "2         H1  G4020    0.0      0.0      0.0        A  1489645185    1718484   \n",
       "3         H1  G4020    0.0      0.0      0.0        A  2749903240  124629167   \n",
       "4         H1  G4020    0.0      0.0      0.0        A  1398048634    1646526   \n",
       "...      ...    ...    ...      ...      ...      ...         ...        ...   \n",
       "3103      H4  G4020  148.0  39300.0      0.0        N   852827571  604769755   \n",
       "3104      H4  G4020  148.0  39300.0      0.0        N  1060552463   67870199   \n",
       "3105      H4  G4020  148.0  39300.0      0.0        N    62500772   53359134   \n",
       "3106      H4  G4020  148.0  39300.0      0.0        N   265293780  547001789   \n",
       "3107      H4  G4020  148.0  39300.0      0.0        N   436588773   50686111   \n",
       "\n",
       "        intptlat      intptlon pixels_Corn flour pixels_Rice dried   \n",
       "0     41.9158651   -96.7885168            649877                 0  \\\n",
       "1     40.7835474   -96.6886584            557931                 0   \n",
       "2     40.1764918   -98.0468422            492281                 0   \n",
       "3     41.1942448  -101.6444493            489931                 0   \n",
       "4     40.5163647   -99.4065568            719100                 0   \n",
       "...          ...           ...               ...               ...   \n",
       "3103   41.396792    -71.620282              9025                 0   \n",
       "3104  41.8697678   -71.5786246              3049                 0   \n",
       "3105  41.7068397   -71.2866874               391                 0   \n",
       "3106  41.5010449   -71.2830626              4613                 0   \n",
       "3107   41.675118   -71.5802819              1068                 0   \n",
       "\n",
       "     pixels_Peanuts pixels_Sweet corn pixels_Wheat flour pixels_Oat flour   \n",
       "0                 0                 0                364              848  \\\n",
       "1                 0                 0               4476              338   \n",
       "2                 0                 0              51658             1569   \n",
       "3                 0                 0             130044             7521   \n",
       "4                 0                 0               7193              757   \n",
       "...             ...               ...                ...              ...   \n",
       "3103              0                 0                  0                0   \n",
       "3104              0                 0                  0                0   \n",
       "3105              0                 0                  0                0   \n",
       "3106              0                 0                  0                0   \n",
       "3107              0                 0                  0                0   \n",
       "\n",
       "     pixels_Potatoes pixels_Onions pixels_Cucumbers pixels_Green peas   \n",
       "0                  0             0                0                 0  \\\n",
       "1                  0             0                0                 0   \n",
       "2                  0             0                0                 0   \n",
       "3                  0             0                0              7954   \n",
       "4                  0             0                0                 0   \n",
       "...              ...           ...              ...               ...   \n",
       "3103             151             0                0                 0   \n",
       "3104               0             0                0                 0   \n",
       "3105               0             0                0                 0   \n",
       "3106            1201             0                0                 0   \n",
       "3107               0             0                0                 0   \n",
       "\n",
       "     pixels_Tomatoes pixels_Apples pixels_Grapes pixels_Other citrus fruits   \n",
       "0                  0             0             0                          0  \\\n",
       "1                  0             0             0                          0   \n",
       "2                  0             0             0                          0   \n",
       "3                  0             0             0                          0   \n",
       "4                  0             0             0                          0   \n",
       "...              ...           ...           ...                        ...   \n",
       "3103               0             0             0                          0   \n",
       "3104               0           296             0                          0   \n",
       "3105               0             0             0                          0   \n",
       "3106               0             0             0                          0   \n",
       "3107               0             0             0                          0   \n",
       "\n",
       "     pixels_Carrots pixels_Oranges pixels_Peppers pixels_Lettuce   \n",
       "0                 0              0              0              0  \\\n",
       "1                 0              0              0              0   \n",
       "2                 0              0              0              0   \n",
       "3                 0              0              0              0   \n",
       "4                 0              0              0              0   \n",
       "...             ...            ...            ...            ...   \n",
       "3103              0              0              0              0   \n",
       "3104              0              0              0              0   \n",
       "3105              0              0              0              0   \n",
       "3106              0              0              0              0   \n",
       "3107              0              0            115              0   \n",
       "\n",
       "     pixels_Cabbage pixels_Celery pixels_Radishes         state postal   \n",
       "0                 0             0               0      Nebraska     NE  \\\n",
       "1                 0             0               0      Nebraska     NE   \n",
       "2                 0             0               0      Nebraska     NE   \n",
       "3                 0             0               0      Nebraska     NE   \n",
       "4                 0             0               0      Nebraska     NE   \n",
       "...             ...           ...             ...           ...    ...   \n",
       "3103              0             0               0  Rhode Island     RI   \n",
       "3104              0             0               0  Rhode Island     RI   \n",
       "3105              0             0               0  Rhode Island     RI   \n",
       "3106              0             0               0  Rhode Island     RI   \n",
       "3107              0             0               0  Rhode Island     RI   \n",
       "\n",
       "         kcal_Corn flour       kg_Corn flour kcal_Rice dried kg_Rice dried   \n",
       "0     2558898985033.2075   701068735.5084152             0.0           0.0  \\\n",
       "1     2196860436080.3083       601880018.328             0.0           0.0   \n",
       "2     1938362722870.8394  531058674.46427274             0.0           0.0   \n",
       "3     1929109567866.3877   528523561.6222353             0.0           0.0   \n",
       "4      2831465431362.211   775744529.6634616             0.0           0.0   \n",
       "...                  ...                 ...             ...           ...   \n",
       "3103                 0.0                 0.0             0.0           0.0   \n",
       "3104                 0.0                 0.0             0.0           0.0   \n",
       "3105                 0.0                 0.0             0.0           0.0   \n",
       "3106                 0.0                 0.0             0.0           0.0   \n",
       "3107                 0.0                 0.0             0.0           0.0   \n",
       "\n",
       "     kcal_Peanuts kg_Peanuts kcal_Sweet corn kg_Sweet corn   \n",
       "0             0.0        0.0             0.0           0.0  \\\n",
       "1             0.0        0.0             0.0           0.0   \n",
       "2             0.0        0.0             0.0           0.0   \n",
       "3             0.0        0.0             0.0           0.0   \n",
       "4             0.0        0.0             0.0           0.0   \n",
       "...           ...        ...             ...           ...   \n",
       "3103          0.0        0.0             0.0           0.0   \n",
       "3104          0.0        0.0             0.0           0.0   \n",
       "3105          0.0        0.0             0.0           0.0   \n",
       "3106          0.0        0.0             0.0           0.0   \n",
       "3107          0.0        0.0             0.0           0.0   \n",
       "\n",
       "        kcal_Wheat flour      kg_Wheat flour      kcal_Oat flour   \n",
       "0     373858736.43211734  112000.90664756975    271670865.580192  \\\n",
       "1      4597229956.786146   1377241.918006929  108283906.32795389   \n",
       "2      53057128040.13824  15894897.900000434  502655174.64070904   \n",
       "3     133566169012.57767    40013862.3738367  2409477099.0903587   \n",
       "4      7387818382.297308   2213248.685483432  242517506.18420443   \n",
       "...                  ...                 ...                 ...   \n",
       "3103                 0.0                 0.0                 0.0   \n",
       "3104                 0.0                 0.0                 0.0   \n",
       "3105                 0.0                 0.0                 0.0   \n",
       "3106                 0.0                 0.0                 0.0   \n",
       "3107                 0.0                 0.0                 0.0   \n",
       "\n",
       "            kg_Oat flour       kcal_Potatoes         kg_Potatoes kcal_Onions   \n",
       "0      69838.26878668176                 0.0                 0.0         0.0  \\\n",
       "1     27836.479775823624                 0.0                 0.0         0.0   \n",
       "2     129217.26854516943                 0.0                 0.0         0.0   \n",
       "3      619402.8532365961                 0.0                 0.0         0.0   \n",
       "4      62343.83192396001                 0.0                 0.0         0.0   \n",
       "...                  ...                 ...                 ...         ...   \n",
       "3103                 0.0  237180237.37130177  410346.43136094674         0.0   \n",
       "3104                 0.0                 0.0                 0.0         0.0   \n",
       "3105                 0.0                 0.0                 0.0         0.0   \n",
       "3106                 0.0   1886446788.628698   3263748.768639053         0.0   \n",
       "3107                 0.0                 0.0                 0.0         0.0   \n",
       "\n",
       "     kg_Onions kcal_Cucumbers kg_Cucumbers     kcal_Green peas   \n",
       "0          0.0            0.0          0.0                 0.0  \\\n",
       "1          0.0            0.0          0.0                 0.0   \n",
       "2          0.0            0.0          0.0                 0.0   \n",
       "3          0.0            0.0          0.0  4268627887.0917025   \n",
       "4          0.0            0.0          0.0                 0.0   \n",
       "...        ...            ...          ...                 ...   \n",
       "3103       0.0            0.0          0.0                 0.0   \n",
       "3104       0.0            0.0          0.0                 0.0   \n",
       "3105       0.0            0.0          0.0                 0.0   \n",
       "3106       0.0            0.0          0.0                 0.0   \n",
       "3107       0.0            0.0          0.0                 0.0   \n",
       "\n",
       "           kg_Green peas kcal_Tomatoes kg_Tomatoes  kcal_Apples  kg_Apples   \n",
       "0                    0.0           0.0         0.0          0.0        0.0  \\\n",
       "1                    0.0           0.0         0.0          0.0        0.0   \n",
       "2                    0.0           0.0         0.0          0.0        0.0   \n",
       "3     1629247.2851495047           0.0         0.0          0.0        0.0   \n",
       "4                    0.0           0.0         0.0          0.0        0.0   \n",
       "...                  ...           ...         ...          ...        ...   \n",
       "3103                 0.0           0.0         0.0          0.0        0.0   \n",
       "3104                 0.0           0.0         0.0  509382432.0  1088424.0   \n",
       "3105                 0.0           0.0         0.0          0.0        0.0   \n",
       "3106                 0.0           0.0         0.0          0.0        0.0   \n",
       "3107                 0.0           0.0         0.0          0.0        0.0   \n",
       "\n",
       "     kcal_Grapes kg_Grapes kcal_Other citrus fruits kg_Other citrus fruits   \n",
       "0            0.0       0.0                      0.0                    0.0  \\\n",
       "1            0.0       0.0                      0.0                    0.0   \n",
       "2            0.0       0.0                      0.0                    0.0   \n",
       "3            0.0       0.0                      0.0                    0.0   \n",
       "4            0.0       0.0                      0.0                    0.0   \n",
       "...          ...       ...                      ...                    ...   \n",
       "3103         0.0       0.0                      0.0                    0.0   \n",
       "3104         0.0       0.0                      0.0                    0.0   \n",
       "3105         0.0       0.0                      0.0                    0.0   \n",
       "3106         0.0       0.0                      0.0                    0.0   \n",
       "3107         0.0       0.0                      0.0                    0.0   \n",
       "\n",
       "     kcal_Carrots kg_Carrots kcal_Oranges kg_Oranges kcal_Peppers kg_Peppers   \n",
       "0             0.0        0.0          0.0        0.0          0.0        0.0  \\\n",
       "1             0.0        0.0          0.0        0.0          0.0        0.0   \n",
       "2             0.0        0.0          0.0        0.0          0.0        0.0   \n",
       "3             0.0        0.0          0.0        0.0          0.0        0.0   \n",
       "4             0.0        0.0          0.0        0.0          0.0        0.0   \n",
       "...           ...        ...          ...        ...          ...        ...   \n",
       "3103          0.0        0.0          0.0        0.0          0.0        0.0   \n",
       "3104          0.0        0.0          0.0        0.0          0.0        0.0   \n",
       "3105          0.0        0.0          0.0        0.0          0.0        0.0   \n",
       "3106          0.0        0.0          0.0        0.0          0.0        0.0   \n",
       "3107          0.0        0.0          0.0        0.0          0.0        0.0   \n",
       "\n",
       "     kcal_Lettuce kg_Lettuce kcal_Cabbage kg_Cabbage kcal_Celery kg_Celery   \n",
       "0             0.0        0.0          0.0        0.0         0.0       0.0  \\\n",
       "1             0.0        0.0          0.0        0.0         0.0       0.0   \n",
       "2             0.0        0.0          0.0        0.0         0.0       0.0   \n",
       "3             0.0        0.0          0.0        0.0         0.0       0.0   \n",
       "4             0.0        0.0          0.0        0.0         0.0       0.0   \n",
       "...           ...        ...          ...        ...         ...       ...   \n",
       "3103          0.0        0.0          0.0        0.0         0.0       0.0   \n",
       "3104          0.0        0.0          0.0        0.0         0.0       0.0   \n",
       "3105          0.0        0.0          0.0        0.0         0.0       0.0   \n",
       "3106          0.0        0.0          0.0        0.0         0.0       0.0   \n",
       "3107          0.0        0.0          0.0        0.0         0.0       0.0   \n",
       "\n",
       "     kcal_Radishes kg_Radishes pixels_Tree nuts kcal_Tree nuts kg_Tree nuts   \n",
       "0              0.0         0.0                0            0.0          0.0  \\\n",
       "1              0.0         0.0                0            0.0          0.0   \n",
       "2              0.0         0.0                0            0.0          0.0   \n",
       "3              0.0         0.0                0            0.0          0.0   \n",
       "4              0.0         0.0                0            0.0          0.0   \n",
       "...            ...         ...              ...            ...          ...   \n",
       "3103           0.0         0.0                0            0.0          0.0   \n",
       "3104           0.0         0.0                0            0.0          0.0   \n",
       "3105           0.0         0.0                0            0.0          0.0   \n",
       "3106           0.0         0.0                0            0.0          0.0   \n",
       "3107           0.0         0.0                0            0.0          0.0   \n",
       "\n",
       "     pixels_Other grain    kcal_Other grain      kg_Other grain   \n",
       "0                     0                 0.0                 0.0  \\\n",
       "1                   439  124661310.54732545  36882.044540628835   \n",
       "2                     0                 0.0                 0.0   \n",
       "3                  4131  1261239370.0991397  371550.14703634515   \n",
       "4                     0                 0.0                 0.0   \n",
       "...                 ...                 ...                 ...   \n",
       "3103                  0                 0.0                 0.0   \n",
       "3104                  0                 0.0                 0.0   \n",
       "3105                  0                 0.0                 0.0   \n",
       "3106                135                 0.0                 0.0   \n",
       "3107                  0                 0.0                 0.0   \n",
       "\n",
       "     pixels_Broccoli and cauliflower kcal_Broccoli and cauliflower   \n",
       "0                                  0                           0.0  \\\n",
       "1                                  0                           0.0   \n",
       "2                                  0                           0.0   \n",
       "3                                  0                           0.0   \n",
       "4                                  0                           0.0   \n",
       "...                              ...                           ...   \n",
       "3103                               0                           0.0   \n",
       "3104                               0                           0.0   \n",
       "3105                               0                           0.0   \n",
       "3106                               0                           0.0   \n",
       "3107                               0                           0.0   \n",
       "\n",
       "     kg_Broccoli and cauliflower pixels_Stone fruits kcal_Stone fruits   \n",
       "0                            0.0                   0               0.0  \\\n",
       "1                            0.0                   0               0.0   \n",
       "2                            0.0                   0               0.0   \n",
       "3                            0.0                   0               0.0   \n",
       "4                            0.0                   0               0.0   \n",
       "...                          ...                 ...               ...   \n",
       "3103                         0.0                   0               0.0   \n",
       "3104                         0.0                   0               0.0   \n",
       "3105                         0.0                   0               0.0   \n",
       "3106                         0.0                   0               0.0   \n",
       "3107                         0.0                   0               0.0   \n",
       "\n",
       "     kg_Stone fruits pixels_Berries kcal_Berries kg_Berries pixels_Legumes   \n",
       "0                0.0              0          0.0        0.0              0  \\\n",
       "1                0.0              0          0.0        0.0              0   \n",
       "2                0.0              0          0.0        0.0              0   \n",
       "3                0.0              0          0.0        0.0           4779   \n",
       "4                0.0              0          0.0        0.0              0   \n",
       "...              ...            ...          ...        ...            ...   \n",
       "3103             0.0              0          0.0        0.0              0   \n",
       "3104             0.0              0          0.0        0.0              0   \n",
       "3105             0.0              0          0.0        0.0              0   \n",
       "3106             0.0              0          0.0        0.0              0   \n",
       "3107             0.0            362          0.0        0.0              0   \n",
       "\n",
       "     kcal_Legumes kg_Legumes pixels_Melons kcal_Melons kg_Melons   \n",
       "0             0.0        0.0             0         0.0       0.0  \\\n",
       "1             0.0        0.0             0         0.0       0.0   \n",
       "2             0.0        0.0             0         0.0       0.0   \n",
       "3             0.0        0.0             0         0.0       0.0   \n",
       "4             0.0        0.0             0         0.0       0.0   \n",
       "...           ...        ...           ...         ...       ...   \n",
       "3103          0.0        0.0             0         0.0       0.0   \n",
       "3104          0.0        0.0             0         0.0       0.0   \n",
       "3105          0.0        0.0             0         0.0       0.0   \n",
       "3106          0.0        0.0             0         0.0       0.0   \n",
       "3107          0.0        0.0             0         0.0       0.0   \n",
       "\n",
       "     pixels_Bananas kcal_Bananas kg_Bananas pixels_Tropical fruits   \n",
       "0                 0            0          0                      0  \\\n",
       "1                 0            0          0                      0   \n",
       "2                 0            0          0                      0   \n",
       "3                 0            0          0                      0   \n",
       "4                 0            0          0                      0   \n",
       "...             ...          ...        ...                    ...   \n",
       "3103              0            0          0                      0   \n",
       "3104              0            0          0                      0   \n",
       "3105              0            0          0                      0   \n",
       "3106              0            0          0                      0   \n",
       "3107              0            0          0                      0   \n",
       "\n",
       "     kcal_Tropical fruits kg_Tropical fruits geometry  \n",
       "0                       0                  0     None  \n",
       "1                       0                  0     None  \n",
       "2                       0                  0     None  \n",
       "3                       0                  0     None  \n",
       "4                       0                  0     None  \n",
       "...                   ...                ...      ...  \n",
       "3103                    0                  0     None  \n",
       "3104                    0                  0     None  \n",
       "3105                    0                  0     None  \n",
       "3106                    0                  0     None  \n",
       "3107                    0                  0     None  \n",
       "\n",
       "[3108 rows x 110 columns]"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "unscaled_full_production"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    .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>statefp</th>\n",
       "      <th>countyfp</th>\n",
       "      <th>countyns</th>\n",
       "      <th>geoid</th>\n",
       "      <th>name</th>\n",
       "      <th>namelsad</th>\n",
       "      <th>lsad</th>\n",
       "      <th>classfp</th>\n",
       "      <th>mtfcc</th>\n",
       "      <th>csafp</th>\n",
       "      <th>cbsafp</th>\n",
       "      <th>metdivfp</th>\n",
       "      <th>funcstat</th>\n",
       "      <th>aland</th>\n",
       "      <th>awater</th>\n",
       "      <th>intptlat</th>\n",
       "      <th>intptlon</th>\n",
       "      <th>pixels_Corn flour</th>\n",
       "      <th>pixels_Rice dried</th>\n",
       "      <th>pixels_Peanuts</th>\n",
       "      <th>pixels_Sweet corn</th>\n",
       "      <th>pixels_Wheat flour</th>\n",
       "      <th>pixels_Oat flour</th>\n",
       "      <th>pixels_Potatoes</th>\n",
       "      <th>pixels_Onions</th>\n",
       "      <th>pixels_Cucumbers</th>\n",
       "      <th>pixels_Green peas</th>\n",
       "      <th>pixels_Tomatoes</th>\n",
       "      <th>pixels_Apples</th>\n",
       "      <th>pixels_Grapes</th>\n",
       "      <th>pixels_Other citrus fruits</th>\n",
       "      <th>pixels_Carrots</th>\n",
       "      <th>pixels_Oranges</th>\n",
       "      <th>pixels_Peppers</th>\n",
       "      <th>pixels_Lettuce</th>\n",
       "      <th>pixels_Cabbage</th>\n",
       "      <th>pixels_Celery</th>\n",
       "      <th>pixels_Radishes</th>\n",
       "      <th>state</th>\n",
       "      <th>postal</th>\n",
       "      <th>kcal_Corn flour</th>\n",
       "      <th>kg_Corn flour</th>\n",
       "      <th>kcal_Rice dried</th>\n",
       "      <th>kg_Rice dried</th>\n",
       "      <th>kcal_Peanuts</th>\n",
       "      <th>kg_Peanuts</th>\n",
       "      <th>kcal_Sweet corn</th>\n",
       "      <th>kg_Sweet corn</th>\n",
       "      <th>kcal_Wheat flour</th>\n",
       "      <th>kg_Wheat flour</th>\n",
       "      <th>kcal_Oat flour</th>\n",
       "      <th>kg_Oat flour</th>\n",
       "      <th>kcal_Potatoes</th>\n",
       "      <th>kg_Potatoes</th>\n",
       "      <th>kcal_Onions</th>\n",
       "      <th>kg_Onions</th>\n",
       "      <th>kcal_Cucumbers</th>\n",
       "      <th>kg_Cucumbers</th>\n",
       "      <th>kcal_Green peas</th>\n",
       "      <th>kg_Green peas</th>\n",
       "      <th>kcal_Tomatoes</th>\n",
       "      <th>kg_Tomatoes</th>\n",
       "      <th>kcal_Apples</th>\n",
       "      <th>kg_Apples</th>\n",
       "      <th>kcal_Grapes</th>\n",
       "      <th>kg_Grapes</th>\n",
       "      <th>kcal_Other citrus fruits</th>\n",
       "      <th>kg_Other citrus fruits</th>\n",
       "      <th>kcal_Carrots</th>\n",
       "      <th>kg_Carrots</th>\n",
       "      <th>kcal_Oranges</th>\n",
       "      <th>kg_Oranges</th>\n",
       "      <th>kcal_Peppers</th>\n",
       "      <th>kg_Peppers</th>\n",
       "      <th>kcal_Lettuce</th>\n",
       "      <th>kg_Lettuce</th>\n",
       "      <th>kcal_Cabbage</th>\n",
       "      <th>kg_Cabbage</th>\n",
       "      <th>kcal_Celery</th>\n",
       "      <th>kg_Celery</th>\n",
       "      <th>kcal_Radishes</th>\n",
       "      <th>kg_Radishes</th>\n",
       "      <th>pixels_Tree nuts</th>\n",
       "      <th>kcal_Tree nuts</th>\n",
       "      <th>kg_Tree nuts</th>\n",
       "      <th>pixels_Other grain</th>\n",
       "      <th>kcal_Other grain</th>\n",
       "      <th>kg_Other grain</th>\n",
       "      <th>pixels_Broccoli and cauliflower</th>\n",
       "      <th>kcal_Broccoli and cauliflower</th>\n",
       "      <th>kg_Broccoli and cauliflower</th>\n",
       "      <th>pixels_Stone fruits</th>\n",
       "      <th>kcal_Stone fruits</th>\n",
       "      <th>kg_Stone fruits</th>\n",
       "      <th>pixels_Berries</th>\n",
       "      <th>kcal_Berries</th>\n",
       "      <th>kg_Berries</th>\n",
       "      <th>pixels_Legumes</th>\n",
       "      <th>kcal_Legumes</th>\n",
       "      <th>kg_Legumes</th>\n",
       "      <th>pixels_Melons</th>\n",
       "      <th>kcal_Melons</th>\n",
       "      <th>kg_Melons</th>\n",
       "      <th>pixels_Bananas</th>\n",
       "      <th>kcal_Bananas</th>\n",
       "      <th>kg_Bananas</th>\n",
       "      <th>pixels_Tropical fruits</th>\n",
       "      <th>kcal_Tropical fruits</th>\n",
       "      <th>kg_Tropical fruits</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>31</td>\n",
       "      <td>39</td>\n",
       "      <td>835841</td>\n",
       "      <td>31039</td>\n",
       "      <td>Cuming</td>\n",
       "      <td>Cuming County</td>\n",
       "      <td>6</td>\n",
       "      <td>H1</td>\n",
       "      <td>G4020</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>A</td>\n",
       "      <td>1477645345</td>\n",
       "      <td>10690204</td>\n",
       "      <td>41.915865</td>\n",
       "      <td>-96.788517</td>\n",
       "      <td>649877</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>364</td>\n",
       "      <td>848</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Nebraska</td>\n",
       "      <td>NE</td>\n",
       "      <td>2.558899e+12</td>\n",
       "      <td>7.010687e+08</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.738587e+08</td>\n",
       "      <td>1.120009e+05</td>\n",
       "      <td>2.716709e+08</td>\n",
       "      <td>69838.268787</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>31</td>\n",
       "      <td>109</td>\n",
       "      <td>835876</td>\n",
       "      <td>31109</td>\n",
       "      <td>Lancaster</td>\n",
       "      <td>Lancaster County</td>\n",
       "      <td>6</td>\n",
       "      <td>H1</td>\n",
       "      <td>G4020</td>\n",
       "      <td>339.0</td>\n",
       "      <td>30700.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>A</td>\n",
       "      <td>2169272970</td>\n",
       "      <td>22847034</td>\n",
       "      <td>40.783547</td>\n",
       "      <td>-96.688658</td>\n",
       "      <td>557931</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4476</td>\n",
       "      <td>338</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Nebraska</td>\n",
       "      <td>NE</td>\n",
       "      <td>2.196860e+12</td>\n",
       "      <td>6.018800e+08</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.597230e+09</td>\n",
       "      <td>1.377242e+06</td>\n",
       "      <td>1.082839e+08</td>\n",
       "      <td>27836.479776</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>439</td>\n",
       "      <td>1.246613e+08</td>\n",
       "      <td>36882.044541</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>31</td>\n",
       "      <td>129</td>\n",
       "      <td>835886</td>\n",
       "      <td>31129</td>\n",
       "      <td>Nuckolls</td>\n",
       "      <td>Nuckolls County</td>\n",
       "      <td>6</td>\n",
       "      <td>H1</td>\n",
       "      <td>G4020</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>A</td>\n",
       "      <td>1489645185</td>\n",
       "      <td>1718484</td>\n",
       "      <td>40.176492</td>\n",
       "      <td>-98.046842</td>\n",
       "      <td>492281</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>51658</td>\n",
       "      <td>1569</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Nebraska</td>\n",
       "      <td>NE</td>\n",
       "      <td>1.938363e+12</td>\n",
       "      <td>5.310587e+08</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.305713e+10</td>\n",
       "      <td>1.589490e+07</td>\n",
       "      <td>5.026552e+08</td>\n",
       "      <td>129217.268545</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>31</td>\n",
       "      <td>101</td>\n",
       "      <td>835872</td>\n",
       "      <td>31101</td>\n",
       "      <td>Keith</td>\n",
       "      <td>Keith County</td>\n",
       "      <td>6</td>\n",
       "      <td>H1</td>\n",
       "      <td>G4020</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>A</td>\n",
       "      <td>2749903240</td>\n",
       "      <td>124629167</td>\n",
       "      <td>41.194245</td>\n",
       "      <td>-101.644449</td>\n",
       "      <td>489931</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>130044</td>\n",
       "      <td>7521</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>7954</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Nebraska</td>\n",
       "      <td>NE</td>\n",
       "      <td>1.929110e+12</td>\n",
       "      <td>5.285236e+08</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.335662e+11</td>\n",
       "      <td>4.001386e+07</td>\n",
       "      <td>2.409477e+09</td>\n",
       "      <td>619402.853237</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.268628e+09</td>\n",
       "      <td>1.629247e+06</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4131</td>\n",
       "      <td>1.261239e+09</td>\n",
       "      <td>371550.147036</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4779</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>31</td>\n",
       "      <td>137</td>\n",
       "      <td>835890</td>\n",
       "      <td>31137</td>\n",
       "      <td>Phelps</td>\n",
       "      <td>Phelps County</td>\n",
       "      <td>6</td>\n",
       "      <td>H1</td>\n",
       "      <td>G4020</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>A</td>\n",
       "      <td>1398048634</td>\n",
       "      <td>1646526</td>\n",
       "      <td>40.516365</td>\n",
       "      <td>-99.406557</td>\n",
       "      <td>719100</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>7193</td>\n",
       "      <td>757</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Nebraska</td>\n",
       "      <td>NE</td>\n",
       "      <td>2.831465e+12</td>\n",
       "      <td>7.757445e+08</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.387818e+09</td>\n",
       "      <td>2.213249e+06</td>\n",
       "      <td>2.425175e+08</td>\n",
       "      <td>62343.831924</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <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",
       "      <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",
       "      <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",
       "      <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",
       "      <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",
       "      <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",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3103</th>\n",
       "      <td>44</td>\n",
       "      <td>9</td>\n",
       "      <td>1219782</td>\n",
       "      <td>44009</td>\n",
       "      <td>Washington</td>\n",
       "      <td>Washington County</td>\n",
       "      <td>6</td>\n",
       "      <td>H4</td>\n",
       "      <td>G4020</td>\n",
       "      <td>148.0</td>\n",
       "      <td>39300.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N</td>\n",
       "      <td>852827571</td>\n",
       "      <td>604769755</td>\n",
       "      <td>41.396792</td>\n",
       "      <td>-71.620282</td>\n",
       "      <td>9025</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>151</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Rhode Island</td>\n",
       "      <td>RI</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.371802e+08</td>\n",
       "      <td>4.103464e+05</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3104</th>\n",
       "      <td>44</td>\n",
       "      <td>7</td>\n",
       "      <td>1219781</td>\n",
       "      <td>44007</td>\n",
       "      <td>Providence</td>\n",
       "      <td>Providence County</td>\n",
       "      <td>6</td>\n",
       "      <td>H4</td>\n",
       "      <td>G4020</td>\n",
       "      <td>148.0</td>\n",
       "      <td>39300.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N</td>\n",
       "      <td>1060552463</td>\n",
       "      <td>67870199</td>\n",
       "      <td>41.869768</td>\n",
       "      <td>-71.578625</td>\n",
       "      <td>3049</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>296</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Rhode Island</td>\n",
       "      <td>RI</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>509382432.0</td>\n",
       "      <td>1088424.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3105</th>\n",
       "      <td>44</td>\n",
       "      <td>1</td>\n",
       "      <td>1219777</td>\n",
       "      <td>44001</td>\n",
       "      <td>Bristol</td>\n",
       "      <td>Bristol County</td>\n",
       "      <td>6</td>\n",
       "      <td>H4</td>\n",
       "      <td>G4020</td>\n",
       "      <td>148.0</td>\n",
       "      <td>39300.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N</td>\n",
       "      <td>62500772</td>\n",
       "      <td>53359134</td>\n",
       "      <td>41.706840</td>\n",
       "      <td>-71.286687</td>\n",
       "      <td>391</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Rhode Island</td>\n",
       "      <td>RI</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3106</th>\n",
       "      <td>44</td>\n",
       "      <td>5</td>\n",
       "      <td>1219779</td>\n",
       "      <td>44005</td>\n",
       "      <td>Newport</td>\n",
       "      <td>Newport County</td>\n",
       "      <td>6</td>\n",
       "      <td>H4</td>\n",
       "      <td>G4020</td>\n",
       "      <td>148.0</td>\n",
       "      <td>39300.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N</td>\n",
       "      <td>265293780</td>\n",
       "      <td>547001789</td>\n",
       "      <td>41.501045</td>\n",
       "      <td>-71.283063</td>\n",
       "      <td>4613</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1201</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Rhode Island</td>\n",
       "      <td>RI</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.886447e+09</td>\n",
       "      <td>3.263749e+06</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>135</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3107</th>\n",
       "      <td>44</td>\n",
       "      <td>3</td>\n",
       "      <td>1219778</td>\n",
       "      <td>44003</td>\n",
       "      <td>Kent</td>\n",
       "      <td>Kent County</td>\n",
       "      <td>6</td>\n",
       "      <td>H4</td>\n",
       "      <td>G4020</td>\n",
       "      <td>148.0</td>\n",
       "      <td>39300.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N</td>\n",
       "      <td>436588773</td>\n",
       "      <td>50686111</td>\n",
       "      <td>41.675118</td>\n",
       "      <td>-71.580282</td>\n",
       "      <td>1068</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>115</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Rhode Island</td>\n",
       "      <td>RI</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>362</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3108 rows × 109 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      statefp  countyfp  countyns  geoid        name           namelsad  lsad   \n",
       "0          31        39    835841  31039      Cuming      Cuming County     6  \\\n",
       "1          31       109    835876  31109   Lancaster   Lancaster County     6   \n",
       "2          31       129    835886  31129    Nuckolls    Nuckolls County     6   \n",
       "3          31       101    835872  31101       Keith       Keith County     6   \n",
       "4          31       137    835890  31137      Phelps      Phelps County     6   \n",
       "...       ...       ...       ...    ...         ...                ...   ...   \n",
       "3103       44         9   1219782  44009  Washington  Washington County     6   \n",
       "3104       44         7   1219781  44007  Providence  Providence County     6   \n",
       "3105       44         1   1219777  44001     Bristol     Bristol County     6   \n",
       "3106       44         5   1219779  44005     Newport     Newport County     6   \n",
       "3107       44         3   1219778  44003        Kent        Kent County     6   \n",
       "\n",
       "     classfp  mtfcc  csafp   cbsafp  metdivfp funcstat       aland     awater   \n",
       "0         H1  G4020    NaN      NaN       NaN        A  1477645345   10690204  \\\n",
       "1         H1  G4020  339.0  30700.0       NaN        A  2169272970   22847034   \n",
       "2         H1  G4020    NaN      NaN       NaN        A  1489645185    1718484   \n",
       "3         H1  G4020    NaN      NaN       NaN        A  2749903240  124629167   \n",
       "4         H1  G4020    NaN      NaN       NaN        A  1398048634    1646526   \n",
       "...      ...    ...    ...      ...       ...      ...         ...        ...   \n",
       "3103      H4  G4020  148.0  39300.0       NaN        N   852827571  604769755   \n",
       "3104      H4  G4020  148.0  39300.0       NaN        N  1060552463   67870199   \n",
       "3105      H4  G4020  148.0  39300.0       NaN        N    62500772   53359134   \n",
       "3106      H4  G4020  148.0  39300.0       NaN        N   265293780  547001789   \n",
       "3107      H4  G4020  148.0  39300.0       NaN        N   436588773   50686111   \n",
       "\n",
       "       intptlat    intptlon  pixels_Corn flour  pixels_Rice dried   \n",
       "0     41.915865  -96.788517             649877                  0  \\\n",
       "1     40.783547  -96.688658             557931                  0   \n",
       "2     40.176492  -98.046842             492281                  0   \n",
       "3     41.194245 -101.644449             489931                  0   \n",
       "4     40.516365  -99.406557             719100                  0   \n",
       "...         ...         ...                ...                ...   \n",
       "3103  41.396792  -71.620282               9025                  0   \n",
       "3104  41.869768  -71.578625               3049                  0   \n",
       "3105  41.706840  -71.286687                391                  0   \n",
       "3106  41.501045  -71.283063               4613                  0   \n",
       "3107  41.675118  -71.580282               1068                  0   \n",
       "\n",
       "      pixels_Peanuts  pixels_Sweet corn  pixels_Wheat flour  pixels_Oat flour   \n",
       "0                  0                  0                 364               848  \\\n",
       "1                  0                  0                4476               338   \n",
       "2                  0                  0               51658              1569   \n",
       "3                  0                  0              130044              7521   \n",
       "4                  0                  0                7193               757   \n",
       "...              ...                ...                 ...               ...   \n",
       "3103               0                  0                   0                 0   \n",
       "3104               0                  0                   0                 0   \n",
       "3105               0                  0                   0                 0   \n",
       "3106               0                  0                   0                 0   \n",
       "3107               0                  0                   0                 0   \n",
       "\n",
       "      pixels_Potatoes  pixels_Onions  pixels_Cucumbers  pixels_Green peas   \n",
       "0                   0              0                 0                  0  \\\n",
       "1                   0              0                 0                  0   \n",
       "2                   0              0                 0                  0   \n",
       "3                   0              0                 0               7954   \n",
       "4                   0              0                 0                  0   \n",
       "...               ...            ...               ...                ...   \n",
       "3103              151              0                 0                  0   \n",
       "3104                0              0                 0                  0   \n",
       "3105                0              0                 0                  0   \n",
       "3106             1201              0                 0                  0   \n",
       "3107                0              0                 0                  0   \n",
       "\n",
       "      pixels_Tomatoes  pixels_Apples  pixels_Grapes   \n",
       "0                   0              0              0  \\\n",
       "1                   0              0              0   \n",
       "2                   0              0              0   \n",
       "3                   0              0              0   \n",
       "4                   0              0              0   \n",
       "...               ...            ...            ...   \n",
       "3103                0              0              0   \n",
       "3104                0            296              0   \n",
       "3105                0              0              0   \n",
       "3106                0              0              0   \n",
       "3107                0              0              0   \n",
       "\n",
       "      pixels_Other citrus fruits  pixels_Carrots  pixels_Oranges   \n",
       "0                              0               0               0  \\\n",
       "1                              0               0               0   \n",
       "2                              0               0               0   \n",
       "3                              0               0               0   \n",
       "4                              0               0               0   \n",
       "...                          ...             ...             ...   \n",
       "3103                           0               0               0   \n",
       "3104                           0               0               0   \n",
       "3105                           0               0               0   \n",
       "3106                           0               0               0   \n",
       "3107                           0               0               0   \n",
       "\n",
       "      pixels_Peppers  pixels_Lettuce  pixels_Cabbage  pixels_Celery   \n",
       "0                  0               0               0              0  \\\n",
       "1                  0               0               0              0   \n",
       "2                  0               0               0              0   \n",
       "3                  0               0               0              0   \n",
       "4                  0               0               0              0   \n",
       "...              ...             ...             ...            ...   \n",
       "3103               0               0               0              0   \n",
       "3104               0               0               0              0   \n",
       "3105               0               0               0              0   \n",
       "3106               0               0               0              0   \n",
       "3107             115               0               0              0   \n",
       "\n",
       "      pixels_Radishes         state postal  kcal_Corn flour  kg_Corn flour   \n",
       "0                   0      Nebraska     NE     2.558899e+12   7.010687e+08  \\\n",
       "1                   0      Nebraska     NE     2.196860e+12   6.018800e+08   \n",
       "2                   0      Nebraska     NE     1.938363e+12   5.310587e+08   \n",
       "3                   0      Nebraska     NE     1.929110e+12   5.285236e+08   \n",
       "4                   0      Nebraska     NE     2.831465e+12   7.757445e+08   \n",
       "...               ...           ...    ...              ...            ...   \n",
       "3103                0  Rhode Island     RI              NaN            NaN   \n",
       "3104                0  Rhode Island     RI              NaN            NaN   \n",
       "3105                0  Rhode Island     RI              NaN            NaN   \n",
       "3106                0  Rhode Island     RI              NaN            NaN   \n",
       "3107                0  Rhode Island     RI              NaN            NaN   \n",
       "\n",
       "      kcal_Rice dried  kg_Rice dried  kcal_Peanuts  kg_Peanuts   \n",
       "0                 NaN            NaN           NaN         NaN  \\\n",
       "1                 NaN            NaN           NaN         NaN   \n",
       "2                 NaN            NaN           NaN         NaN   \n",
       "3                 NaN            NaN           NaN         NaN   \n",
       "4                 NaN            NaN           NaN         NaN   \n",
       "...               ...            ...           ...         ...   \n",
       "3103              NaN            NaN           NaN         NaN   \n",
       "3104              NaN            NaN           NaN         NaN   \n",
       "3105              NaN            NaN           NaN         NaN   \n",
       "3106              NaN            NaN           NaN         NaN   \n",
       "3107              NaN            NaN           NaN         NaN   \n",
       "\n",
       "      kcal_Sweet corn  kg_Sweet corn  kcal_Wheat flour  kg_Wheat flour   \n",
       "0                 NaN            NaN      3.738587e+08    1.120009e+05  \\\n",
       "1                 NaN            NaN      4.597230e+09    1.377242e+06   \n",
       "2                 NaN            NaN      5.305713e+10    1.589490e+07   \n",
       "3                 NaN            NaN      1.335662e+11    4.001386e+07   \n",
       "4                 NaN            NaN      7.387818e+09    2.213249e+06   \n",
       "...               ...            ...               ...             ...   \n",
       "3103              NaN            NaN               NaN             NaN   \n",
       "3104              NaN            NaN               NaN             NaN   \n",
       "3105              NaN            NaN               NaN             NaN   \n",
       "3106              NaN            NaN               NaN             NaN   \n",
       "3107              NaN            NaN               NaN             NaN   \n",
       "\n",
       "      kcal_Oat flour   kg_Oat flour  kcal_Potatoes   kg_Potatoes  kcal_Onions   \n",
       "0       2.716709e+08   69838.268787   0.000000e+00  0.000000e+00          NaN  \\\n",
       "1       1.082839e+08   27836.479776   0.000000e+00  0.000000e+00          NaN   \n",
       "2       5.026552e+08  129217.268545   0.000000e+00  0.000000e+00          NaN   \n",
       "3       2.409477e+09  619402.853237   0.000000e+00  0.000000e+00          NaN   \n",
       "4       2.425175e+08   62343.831924   0.000000e+00  0.000000e+00          NaN   \n",
       "...              ...            ...            ...           ...          ...   \n",
       "3103             NaN            NaN   2.371802e+08  4.103464e+05          NaN   \n",
       "3104             NaN            NaN   0.000000e+00  0.000000e+00          NaN   \n",
       "3105             NaN            NaN   0.000000e+00  0.000000e+00          NaN   \n",
       "3106             NaN            NaN   1.886447e+09  3.263749e+06          NaN   \n",
       "3107             NaN            NaN   0.000000e+00  0.000000e+00          NaN   \n",
       "\n",
       "      kg_Onions  kcal_Cucumbers  kg_Cucumbers  kcal_Green peas  kg_Green peas   \n",
       "0           NaN             NaN           NaN     0.000000e+00   0.000000e+00  \\\n",
       "1           NaN             NaN           NaN     0.000000e+00   0.000000e+00   \n",
       "2           NaN             NaN           NaN     0.000000e+00   0.000000e+00   \n",
       "3           NaN             NaN           NaN     4.268628e+09   1.629247e+06   \n",
       "4           NaN             NaN           NaN     0.000000e+00   0.000000e+00   \n",
       "...         ...             ...           ...              ...            ...   \n",
       "3103        NaN             NaN           NaN              NaN            NaN   \n",
       "3104        NaN             NaN           NaN              NaN            NaN   \n",
       "3105        NaN             NaN           NaN              NaN            NaN   \n",
       "3106        NaN             NaN           NaN              NaN            NaN   \n",
       "3107        NaN             NaN           NaN              NaN            NaN   \n",
       "\n",
       "      kcal_Tomatoes  kg_Tomatoes  kcal_Apples  kg_Apples  kcal_Grapes   \n",
       "0               NaN          NaN          NaN        NaN          NaN  \\\n",
       "1               NaN          NaN          NaN        NaN          NaN   \n",
       "2               NaN          NaN          NaN        NaN          NaN   \n",
       "3               NaN          NaN          NaN        NaN          NaN   \n",
       "4               NaN          NaN          NaN        NaN          NaN   \n",
       "...             ...          ...          ...        ...          ...   \n",
       "3103            NaN          NaN          0.0        0.0          NaN   \n",
       "3104            NaN          NaN  509382432.0  1088424.0          NaN   \n",
       "3105            NaN          NaN          0.0        0.0          NaN   \n",
       "3106            NaN          NaN          0.0        0.0          NaN   \n",
       "3107            NaN          NaN          0.0        0.0          NaN   \n",
       "\n",
       "      kg_Grapes  kcal_Other citrus fruits  kg_Other citrus fruits   \n",
       "0           NaN                       NaN                     NaN  \\\n",
       "1           NaN                       NaN                     NaN   \n",
       "2           NaN                       NaN                     NaN   \n",
       "3           NaN                       NaN                     NaN   \n",
       "4           NaN                       NaN                     NaN   \n",
       "...         ...                       ...                     ...   \n",
       "3103        NaN                       NaN                     NaN   \n",
       "3104        NaN                       NaN                     NaN   \n",
       "3105        NaN                       NaN                     NaN   \n",
       "3106        NaN                       NaN                     NaN   \n",
       "3107        NaN                       NaN                     NaN   \n",
       "\n",
       "      kcal_Carrots  kg_Carrots  kcal_Oranges  kg_Oranges  kcal_Peppers   \n",
       "0              NaN         NaN           NaN         NaN           NaN  \\\n",
       "1              NaN         NaN           NaN         NaN           NaN   \n",
       "2              NaN         NaN           NaN         NaN           NaN   \n",
       "3              NaN         NaN           NaN         NaN           NaN   \n",
       "4              NaN         NaN           NaN         NaN           NaN   \n",
       "...            ...         ...           ...         ...           ...   \n",
       "3103           NaN         NaN           NaN         NaN           NaN   \n",
       "3104           NaN         NaN           NaN         NaN           NaN   \n",
       "3105           NaN         NaN           NaN         NaN           NaN   \n",
       "3106           NaN         NaN           NaN         NaN           NaN   \n",
       "3107           NaN         NaN           NaN         NaN           NaN   \n",
       "\n",
       "      kg_Peppers  kcal_Lettuce  kg_Lettuce  kcal_Cabbage  kg_Cabbage   \n",
       "0            NaN           NaN         NaN           NaN         NaN  \\\n",
       "1            NaN           NaN         NaN           NaN         NaN   \n",
       "2            NaN           NaN         NaN           NaN         NaN   \n",
       "3            NaN           NaN         NaN           NaN         NaN   \n",
       "4            NaN           NaN         NaN           NaN         NaN   \n",
       "...          ...           ...         ...           ...         ...   \n",
       "3103         NaN           NaN         NaN           NaN         NaN   \n",
       "3104         NaN           NaN         NaN           NaN         NaN   \n",
       "3105         NaN           NaN         NaN           NaN         NaN   \n",
       "3106         NaN           NaN         NaN           NaN         NaN   \n",
       "3107         NaN           NaN         NaN           NaN         NaN   \n",
       "\n",
       "      kcal_Celery  kg_Celery  kcal_Radishes  kg_Radishes  pixels_Tree nuts   \n",
       "0             NaN        NaN            NaN          NaN                 0  \\\n",
       "1             NaN        NaN            NaN          NaN                 0   \n",
       "2             NaN        NaN            NaN          NaN                 0   \n",
       "3             NaN        NaN            NaN          NaN                 0   \n",
       "4             NaN        NaN            NaN          NaN                 0   \n",
       "...           ...        ...            ...          ...               ...   \n",
       "3103          NaN        NaN            NaN          NaN                 0   \n",
       "3104          NaN        NaN            NaN          NaN                 0   \n",
       "3105          NaN        NaN            NaN          NaN                 0   \n",
       "3106          NaN        NaN            NaN          NaN                 0   \n",
       "3107          NaN        NaN            NaN          NaN                 0   \n",
       "\n",
       "      kcal_Tree nuts  kg_Tree nuts  pixels_Other grain  kcal_Other grain   \n",
       "0                NaN           NaN                   0      0.000000e+00  \\\n",
       "1                NaN           NaN                 439      1.246613e+08   \n",
       "2                NaN           NaN                   0      0.000000e+00   \n",
       "3                NaN           NaN                4131      1.261239e+09   \n",
       "4                NaN           NaN                   0      0.000000e+00   \n",
       "...              ...           ...                 ...               ...   \n",
       "3103             NaN           NaN                   0               NaN   \n",
       "3104             NaN           NaN                   0               NaN   \n",
       "3105             NaN           NaN                   0               NaN   \n",
       "3106             NaN           NaN                 135               NaN   \n",
       "3107             NaN           NaN                   0               NaN   \n",
       "\n",
       "      kg_Other grain  pixels_Broccoli and cauliflower   \n",
       "0           0.000000                                0  \\\n",
       "1       36882.044541                                0   \n",
       "2           0.000000                                0   \n",
       "3      371550.147036                                0   \n",
       "4           0.000000                                0   \n",
       "...              ...                              ...   \n",
       "3103             NaN                                0   \n",
       "3104             NaN                                0   \n",
       "3105             NaN                                0   \n",
       "3106             NaN                                0   \n",
       "3107             NaN                                0   \n",
       "\n",
       "      kcal_Broccoli and cauliflower  kg_Broccoli and cauliflower   \n",
       "0                               NaN                          NaN  \\\n",
       "1                               NaN                          NaN   \n",
       "2                               NaN                          NaN   \n",
       "3                               NaN                          NaN   \n",
       "4                               NaN                          NaN   \n",
       "...                             ...                          ...   \n",
       "3103                            NaN                          NaN   \n",
       "3104                            NaN                          NaN   \n",
       "3105                            NaN                          NaN   \n",
       "3106                            NaN                          NaN   \n",
       "3107                            NaN                          NaN   \n",
       "\n",
       "      pixels_Stone fruits  kcal_Stone fruits  kg_Stone fruits  pixels_Berries   \n",
       "0                       0                NaN              NaN               0  \\\n",
       "1                       0                NaN              NaN               0   \n",
       "2                       0                NaN              NaN               0   \n",
       "3                       0                NaN              NaN               0   \n",
       "4                       0                NaN              NaN               0   \n",
       "...                   ...                ...              ...             ...   \n",
       "3103                    0                NaN              NaN               0   \n",
       "3104                    0                NaN              NaN               0   \n",
       "3105                    0                NaN              NaN               0   \n",
       "3106                    0                NaN              NaN               0   \n",
       "3107                    0                NaN              NaN             362   \n",
       "\n",
       "      kcal_Berries  kg_Berries  pixels_Legumes  kcal_Legumes  kg_Legumes   \n",
       "0              NaN         NaN               0           NaN         NaN  \\\n",
       "1              NaN         NaN               0           NaN         NaN   \n",
       "2              NaN         NaN               0           NaN         NaN   \n",
       "3              NaN         NaN            4779           NaN         NaN   \n",
       "4              NaN         NaN               0           NaN         NaN   \n",
       "...            ...         ...             ...           ...         ...   \n",
       "3103           NaN         NaN               0           NaN         NaN   \n",
       "3104           NaN         NaN               0           NaN         NaN   \n",
       "3105           NaN         NaN               0           NaN         NaN   \n",
       "3106           NaN         NaN               0           NaN         NaN   \n",
       "3107           NaN         NaN               0           NaN         NaN   \n",
       "\n",
       "      pixels_Melons  kcal_Melons  kg_Melons  pixels_Bananas  kcal_Bananas   \n",
       "0                 0          NaN        NaN               0             0  \\\n",
       "1                 0          NaN        NaN               0             0   \n",
       "2                 0          NaN        NaN               0             0   \n",
       "3                 0          NaN        NaN               0             0   \n",
       "4                 0          NaN        NaN               0             0   \n",
       "...             ...          ...        ...             ...           ...   \n",
       "3103              0          NaN        NaN               0             0   \n",
       "3104              0          NaN        NaN               0             0   \n",
       "3105              0          NaN        NaN               0             0   \n",
       "3106              0          NaN        NaN               0             0   \n",
       "3107              0          NaN        NaN               0             0   \n",
       "\n",
       "      kg_Bananas  pixels_Tropical fruits  kcal_Tropical fruits   \n",
       "0              0                       0                     0  \\\n",
       "1              0                       0                     0   \n",
       "2              0                       0                     0   \n",
       "3              0                       0                     0   \n",
       "4              0                       0                     0   \n",
       "...          ...                     ...                   ...   \n",
       "3103           0                       0                     0   \n",
       "3104           0                       0                     0   \n",
       "3105           0                       0                     0   \n",
       "3106           0                       0                     0   \n",
       "3107           0                       0                     0   \n",
       "\n",
       "      kg_Tropical fruits  \n",
       "0                      0  \n",
       "1                      0  \n",
       "2                      0  \n",
       "3                      0  \n",
       "4                      0  \n",
       "...                  ...  \n",
       "3103                   0  \n",
       "3104                   0  \n",
       "3105                   0  \n",
       "3106                   0  \n",
       "3107                   0  \n",
       "\n",
       "[3108 rows x 109 columns]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "unscaled_grown_production"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>geoid</th>\n",
       "      <th>statefp</th>\n",
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       "      <th>intptlon</th>\n",
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       "      <th>kg_Rice dried</th>\n",
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       "      <th>kcal_Sweet corn</th>\n",
       "      <th>kg_Sweet corn</th>\n",
       "      <th>kcal_Wheat flour</th>\n",
       "      <th>kg_Wheat flour</th>\n",
       "      <th>kcal_Oat flour</th>\n",
       "      <th>kg_Oat flour</th>\n",
       "      <th>kcal_Potatoes</th>\n",
       "      <th>kg_Potatoes</th>\n",
       "      <th>kcal_Onions</th>\n",
       "      <th>kg_Onions</th>\n",
       "      <th>kcal_Cucumbers</th>\n",
       "      <th>kg_Cucumbers</th>\n",
       "      <th>kcal_Green peas</th>\n",
       "      <th>kg_Green peas</th>\n",
       "      <th>kcal_Tomatoes</th>\n",
       "      <th>kg_Tomatoes</th>\n",
       "      <th>kcal_Apples</th>\n",
       "      <th>kg_Apples</th>\n",
       "      <th>kcal_Grapes</th>\n",
       "      <th>kg_Grapes</th>\n",
       "      <th>kcal_Other citrus fruits</th>\n",
       "      <th>kg_Other citrus fruits</th>\n",
       "      <th>kcal_Carrots</th>\n",
       "      <th>kg_Carrots</th>\n",
       "      <th>kcal_Oranges</th>\n",
       "      <th>kg_Oranges</th>\n",
       "      <th>kcal_Peppers</th>\n",
       "      <th>kg_Peppers</th>\n",
       "      <th>kcal_Lettuce</th>\n",
       "      <th>kg_Lettuce</th>\n",
       "      <th>kcal_Cabbage</th>\n",
       "      <th>kg_Cabbage</th>\n",
       "      <th>kcal_Celery</th>\n",
       "      <th>kg_Celery</th>\n",
       "      <th>kcal_Radishes</th>\n",
       "      <th>kg_Radishes</th>\n",
       "      <th>pixels_Tree nuts</th>\n",
       "      <th>kcal_Tree nuts</th>\n",
       "      <th>kg_Tree nuts</th>\n",
       "      <th>pixels_Other grain</th>\n",
       "      <th>kcal_Other grain</th>\n",
       "      <th>kg_Other grain</th>\n",
       "      <th>pixels_Broccoli and cauliflower</th>\n",
       "      <th>kcal_Broccoli and cauliflower</th>\n",
       "      <th>kg_Broccoli and cauliflower</th>\n",
       "      <th>pixels_Stone fruits</th>\n",
       "      <th>kcal_Stone fruits</th>\n",
       "      <th>kg_Stone fruits</th>\n",
       "      <th>pixels_Berries</th>\n",
       "      <th>kcal_Berries</th>\n",
       "      <th>kg_Berries</th>\n",
       "      <th>pixels_Legumes</th>\n",
       "      <th>kcal_Legumes</th>\n",
       "      <th>kg_Legumes</th>\n",
       "      <th>pixels_Melons</th>\n",
       "      <th>kcal_Melons</th>\n",
       "      <th>kg_Melons</th>\n",
       "      <th>pixels_Bananas</th>\n",
       "      <th>kcal_Bananas</th>\n",
       "      <th>kg_Bananas</th>\n",
       "      <th>pixels_Tropical fruits</th>\n",
       "      <th>kcal_Tropical fruits</th>\n",
       "      <th>kg_Tropical fruits</th>\n",
       "      <th>geometry</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>31039</td>\n",
       "      <td>31</td>\n",
       "      <td>39</td>\n",
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       "      <td>Cuming</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>5.960464e-08</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>0.0</td>\n",
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       "    <tr>\n",
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       "      <td>31109</td>\n",
       "      <td>31</td>\n",
       "      <td>109</td>\n",
       "      <td>835876</td>\n",
       "      <td>Lancaster</td>\n",
       "      <td>Lancaster County</td>\n",
       "      <td>6</td>\n",
       "      <td>H1</td>\n",
       "      <td>G4020</td>\n",
       "      <td>339.0</td>\n",
       "      <td>30700.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>A</td>\n",
       "      <td>2169272970</td>\n",
       "      <td>22847034</td>\n",
       "      <td>40.7835474</td>\n",
       "      <td>-96.6886584</td>\n",
       "      <td>557931</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4476</td>\n",
       "      <td>338</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Nebraska</td>\n",
       "      <td>NE</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>1.490116e-08</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>439</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-7.275958e-12</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>31129</td>\n",
       "      <td>31</td>\n",
       "      <td>129</td>\n",
       "      <td>835886</td>\n",
       "      <td>Nuckolls</td>\n",
       "      <td>Nuckolls County</td>\n",
       "      <td>6</td>\n",
       "      <td>H1</td>\n",
       "      <td>G4020</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>A</td>\n",
       "      <td>1489645185</td>\n",
       "      <td>1718484</td>\n",
       "      <td>40.1764918</td>\n",
       "      <td>-98.0468422</td>\n",
       "      <td>492281</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>51658</td>\n",
       "      <td>1569</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Nebraska</td>\n",
       "      <td>NE</td>\n",
       "      <td>-0.000244</td>\n",
       "      <td>-5.960464e-08</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>5.960464e-08</td>\n",
       "      <td>-1.455192e-11</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>31101</td>\n",
       "      <td>31</td>\n",
       "      <td>101</td>\n",
       "      <td>835872</td>\n",
       "      <td>Keith</td>\n",
       "      <td>Keith County</td>\n",
       "      <td>6</td>\n",
       "      <td>H1</td>\n",
       "      <td>G4020</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>A</td>\n",
       "      <td>2749903240</td>\n",
       "      <td>124629167</td>\n",
       "      <td>41.1942448</td>\n",
       "      <td>-101.6444493</td>\n",
       "      <td>489931</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>130044</td>\n",
       "      <td>7521</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>7954</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Nebraska</td>\n",
       "      <td>NE</td>\n",
       "      <td>-0.000244</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1.525879e-05</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-9.536743e-07</td>\n",
       "      <td>-2.328306e-10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4131</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-5.820766e-11</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4779</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>31137</td>\n",
       "      <td>31</td>\n",
       "      <td>137</td>\n",
       "      <td>835890</td>\n",
       "      <td>Phelps</td>\n",
       "      <td>Phelps County</td>\n",
       "      <td>6</td>\n",
       "      <td>H1</td>\n",
       "      <td>G4020</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>A</td>\n",
       "      <td>1398048634</td>\n",
       "      <td>1646526</td>\n",
       "      <td>40.5163647</td>\n",
       "      <td>-99.4065568</td>\n",
       "      <td>719100</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>7193</td>\n",
       "      <td>757</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Nebraska</td>\n",
       "      <td>NE</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>None</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",
       "      <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",
       "      <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",
       "      <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",
       "      <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",
       "      <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",
       "      <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>3103</th>\n",
       "      <td>44009</td>\n",
       "      <td>44</td>\n",
       "      <td>9</td>\n",
       "      <td>1219782</td>\n",
       "      <td>Washington</td>\n",
       "      <td>Washington County</td>\n",
       "      <td>6</td>\n",
       "      <td>H4</td>\n",
       "      <td>G4020</td>\n",
       "      <td>148.0</td>\n",
       "      <td>39300.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>N</td>\n",
       "      <td>852827571</td>\n",
       "      <td>604769755</td>\n",
       "      <td>41.396792</td>\n",
       "      <td>-71.620282</td>\n",
       "      <td>9025</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>151</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Rhode Island</td>\n",
       "      <td>RI</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3104</th>\n",
       "      <td>44007</td>\n",
       "      <td>44</td>\n",
       "      <td>7</td>\n",
       "      <td>1219781</td>\n",
       "      <td>Providence</td>\n",
       "      <td>Providence County</td>\n",
       "      <td>6</td>\n",
       "      <td>H4</td>\n",
       "      <td>G4020</td>\n",
       "      <td>148.0</td>\n",
       "      <td>39300.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>N</td>\n",
       "      <td>1060552463</td>\n",
       "      <td>67870199</td>\n",
       "      <td>41.8697678</td>\n",
       "      <td>-71.5786246</td>\n",
       "      <td>3049</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>296</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Rhode Island</td>\n",
       "      <td>RI</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3105</th>\n",
       "      <td>44001</td>\n",
       "      <td>44</td>\n",
       "      <td>1</td>\n",
       "      <td>1219777</td>\n",
       "      <td>Bristol</td>\n",
       "      <td>Bristol County</td>\n",
       "      <td>6</td>\n",
       "      <td>H4</td>\n",
       "      <td>G4020</td>\n",
       "      <td>148.0</td>\n",
       "      <td>39300.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>N</td>\n",
       "      <td>62500772</td>\n",
       "      <td>53359134</td>\n",
       "      <td>41.7068397</td>\n",
       "      <td>-71.2866874</td>\n",
       "      <td>391</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Rhode Island</td>\n",
       "      <td>RI</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3106</th>\n",
       "      <td>44005</td>\n",
       "      <td>44</td>\n",
       "      <td>5</td>\n",
       "      <td>1219779</td>\n",
       "      <td>Newport</td>\n",
       "      <td>Newport County</td>\n",
       "      <td>6</td>\n",
       "      <td>H4</td>\n",
       "      <td>G4020</td>\n",
       "      <td>148.0</td>\n",
       "      <td>39300.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>N</td>\n",
       "      <td>265293780</td>\n",
       "      <td>547001789</td>\n",
       "      <td>41.5010449</td>\n",
       "      <td>-71.2830626</td>\n",
       "      <td>4613</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1201</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Rhode Island</td>\n",
       "      <td>RI</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>135</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3107</th>\n",
       "      <td>44003</td>\n",
       "      <td>44</td>\n",
       "      <td>3</td>\n",
       "      <td>1219778</td>\n",
       "      <td>Kent</td>\n",
       "      <td>Kent County</td>\n",
       "      <td>6</td>\n",
       "      <td>H4</td>\n",
       "      <td>G4020</td>\n",
       "      <td>148.0</td>\n",
       "      <td>39300.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>N</td>\n",
       "      <td>436588773</td>\n",
       "      <td>50686111</td>\n",
       "      <td>41.675118</td>\n",
       "      <td>-71.5802819</td>\n",
       "      <td>1068</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>115</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Rhode Island</td>\n",
       "      <td>RI</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>362</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3108 rows × 110 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      geoid statefp countyfp countyns        name           namelsad lsad   \n",
       "0     31039      31       39   835841      Cuming      Cuming County    6  \\\n",
       "1     31109      31      109   835876   Lancaster   Lancaster County    6   \n",
       "2     31129      31      129   835886    Nuckolls    Nuckolls County    6   \n",
       "3     31101      31      101   835872       Keith       Keith County    6   \n",
       "4     31137      31      137   835890      Phelps      Phelps County    6   \n",
       "...     ...     ...      ...      ...         ...                ...  ...   \n",
       "3103  44009      44        9  1219782  Washington  Washington County    6   \n",
       "3104  44007      44        7  1219781  Providence  Providence County    6   \n",
       "3105  44001      44        1  1219777     Bristol     Bristol County    6   \n",
       "3106  44005      44        5  1219779     Newport     Newport County    6   \n",
       "3107  44003      44        3  1219778        Kent        Kent County    6   \n",
       "\n",
       "     classfp  mtfcc  csafp   cbsafp metdivfp funcstat       aland     awater   \n",
       "0         H1  G4020    0.0      0.0      0.0        A  1477645345   10690204  \\\n",
       "1         H1  G4020  339.0  30700.0      0.0        A  2169272970   22847034   \n",
       "2         H1  G4020    0.0      0.0      0.0        A  1489645185    1718484   \n",
       "3         H1  G4020    0.0      0.0      0.0        A  2749903240  124629167   \n",
       "4         H1  G4020    0.0      0.0      0.0        A  1398048634    1646526   \n",
       "...      ...    ...    ...      ...      ...      ...         ...        ...   \n",
       "3103      H4  G4020  148.0  39300.0      0.0        N   852827571  604769755   \n",
       "3104      H4  G4020  148.0  39300.0      0.0        N  1060552463   67870199   \n",
       "3105      H4  G4020  148.0  39300.0      0.0        N    62500772   53359134   \n",
       "3106      H4  G4020  148.0  39300.0      0.0        N   265293780  547001789   \n",
       "3107      H4  G4020  148.0  39300.0      0.0        N   436588773   50686111   \n",
       "\n",
       "        intptlat      intptlon pixels_Corn flour pixels_Rice dried   \n",
       "0     41.9158651   -96.7885168            649877                 0  \\\n",
       "1     40.7835474   -96.6886584            557931                 0   \n",
       "2     40.1764918   -98.0468422            492281                 0   \n",
       "3     41.1942448  -101.6444493            489931                 0   \n",
       "4     40.5163647   -99.4065568            719100                 0   \n",
       "...          ...           ...               ...               ...   \n",
       "3103   41.396792    -71.620282              9025                 0   \n",
       "3104  41.8697678   -71.5786246              3049                 0   \n",
       "3105  41.7068397   -71.2866874               391                 0   \n",
       "3106  41.5010449   -71.2830626              4613                 0   \n",
       "3107   41.675118   -71.5802819              1068                 0   \n",
       "\n",
       "     pixels_Peanuts pixels_Sweet corn pixels_Wheat flour pixels_Oat flour   \n",
       "0                 0                 0                364              848  \\\n",
       "1                 0                 0               4476              338   \n",
       "2                 0                 0              51658             1569   \n",
       "3                 0                 0             130044             7521   \n",
       "4                 0                 0               7193              757   \n",
       "...             ...               ...                ...              ...   \n",
       "3103              0                 0                  0                0   \n",
       "3104              0                 0                  0                0   \n",
       "3105              0                 0                  0                0   \n",
       "3106              0                 0                  0                0   \n",
       "3107              0                 0                  0                0   \n",
       "\n",
       "     pixels_Potatoes pixels_Onions pixels_Cucumbers pixels_Green peas   \n",
       "0                  0             0                0                 0  \\\n",
       "1                  0             0                0                 0   \n",
       "2                  0             0                0                 0   \n",
       "3                  0             0                0              7954   \n",
       "4                  0             0                0                 0   \n",
       "...              ...           ...              ...               ...   \n",
       "3103             151             0                0                 0   \n",
       "3104               0             0                0                 0   \n",
       "3105               0             0                0                 0   \n",
       "3106            1201             0                0                 0   \n",
       "3107               0             0                0                 0   \n",
       "\n",
       "     pixels_Tomatoes pixels_Apples pixels_Grapes pixels_Other citrus fruits   \n",
       "0                  0             0             0                          0  \\\n",
       "1                  0             0             0                          0   \n",
       "2                  0             0             0                          0   \n",
       "3                  0             0             0                          0   \n",
       "4                  0             0             0                          0   \n",
       "...              ...           ...           ...                        ...   \n",
       "3103               0             0             0                          0   \n",
       "3104               0           296             0                          0   \n",
       "3105               0             0             0                          0   \n",
       "3106               0             0             0                          0   \n",
       "3107               0             0             0                          0   \n",
       "\n",
       "     pixels_Carrots pixels_Oranges pixels_Peppers pixels_Lettuce   \n",
       "0                 0              0              0              0  \\\n",
       "1                 0              0              0              0   \n",
       "2                 0              0              0              0   \n",
       "3                 0              0              0              0   \n",
       "4                 0              0              0              0   \n",
       "...             ...            ...            ...            ...   \n",
       "3103              0              0              0              0   \n",
       "3104              0              0              0              0   \n",
       "3105              0              0              0              0   \n",
       "3106              0              0              0              0   \n",
       "3107              0              0            115              0   \n",
       "\n",
       "     pixels_Cabbage pixels_Celery pixels_Radishes         state postal   \n",
       "0                 0             0               0      Nebraska     NE  \\\n",
       "1                 0             0               0      Nebraska     NE   \n",
       "2                 0             0               0      Nebraska     NE   \n",
       "3                 0             0               0      Nebraska     NE   \n",
       "4                 0             0               0      Nebraska     NE   \n",
       "...             ...           ...             ...           ...    ...   \n",
       "3103              0             0               0  Rhode Island     RI   \n",
       "3104              0             0               0  Rhode Island     RI   \n",
       "3105              0             0               0  Rhode Island     RI   \n",
       "3106              0             0               0  Rhode Island     RI   \n",
       "3107              0             0               0  Rhode Island     RI   \n",
       "\n",
       "      kcal_Corn flour  kg_Corn flour  kcal_Rice dried  kg_Rice dried   \n",
       "0            0.000000   0.000000e+00              NaN            NaN  \\\n",
       "1            0.000000   0.000000e+00              NaN            NaN   \n",
       "2           -0.000244  -5.960464e-08              NaN            NaN   \n",
       "3           -0.000244   0.000000e+00              NaN            NaN   \n",
       "4            0.000000   0.000000e+00              NaN            NaN   \n",
       "...               ...            ...              ...            ...   \n",
       "3103              NaN            NaN              NaN            NaN   \n",
       "3104              NaN            NaN              NaN            NaN   \n",
       "3105              NaN            NaN              NaN            NaN   \n",
       "3106              NaN            NaN              NaN            NaN   \n",
       "3107              NaN            NaN              NaN            NaN   \n",
       "\n",
       "      kcal_Peanuts  kg_Peanuts  kcal_Sweet corn  kg_Sweet corn   \n",
       "0              NaN         NaN              NaN            NaN  \\\n",
       "1              NaN         NaN              NaN            NaN   \n",
       "2              NaN         NaN              NaN            NaN   \n",
       "3              NaN         NaN              NaN            NaN   \n",
       "4              NaN         NaN              NaN            NaN   \n",
       "...            ...         ...              ...            ...   \n",
       "3103           NaN         NaN              NaN            NaN   \n",
       "3104           NaN         NaN              NaN            NaN   \n",
       "3105           NaN         NaN              NaN            NaN   \n",
       "3106           NaN         NaN              NaN            NaN   \n",
       "3107           NaN         NaN              NaN            NaN   \n",
       "\n",
       "      kcal_Wheat flour  kg_Wheat flour  kcal_Oat flour  kg_Oat flour   \n",
       "0         5.960464e-08   -1.455192e-11    0.000000e+00  0.000000e+00  \\\n",
       "1         0.000000e+00    0.000000e+00    1.490116e-08  0.000000e+00   \n",
       "2         0.000000e+00    0.000000e+00    5.960464e-08 -1.455192e-11   \n",
       "3        -1.525879e-05    0.000000e+00    0.000000e+00  0.000000e+00   \n",
       "4         0.000000e+00    0.000000e+00    0.000000e+00  0.000000e+00   \n",
       "...                ...             ...             ...           ...   \n",
       "3103               NaN             NaN             NaN           NaN   \n",
       "3104               NaN             NaN             NaN           NaN   \n",
       "3105               NaN             NaN             NaN           NaN   \n",
       "3106               NaN             NaN             NaN           NaN   \n",
       "3107               NaN             NaN             NaN           NaN   \n",
       "\n",
       "      kcal_Potatoes  kg_Potatoes  kcal_Onions  kg_Onions  kcal_Cucumbers   \n",
       "0               0.0          0.0          NaN        NaN             NaN  \\\n",
       "1               0.0          0.0          NaN        NaN             NaN   \n",
       "2               0.0          0.0          NaN        NaN             NaN   \n",
       "3               0.0          0.0          NaN        NaN             NaN   \n",
       "4               0.0          0.0          NaN        NaN             NaN   \n",
       "...             ...          ...          ...        ...             ...   \n",
       "3103            0.0          0.0          NaN        NaN             NaN   \n",
       "3104            0.0          0.0          NaN        NaN             NaN   \n",
       "3105            0.0          0.0          NaN        NaN             NaN   \n",
       "3106            0.0          0.0          NaN        NaN             NaN   \n",
       "3107            0.0          0.0          NaN        NaN             NaN   \n",
       "\n",
       "      kg_Cucumbers  kcal_Green peas  kg_Green peas  kcal_Tomatoes   \n",
       "0              NaN     0.000000e+00   0.000000e+00            NaN  \\\n",
       "1              NaN     0.000000e+00   0.000000e+00            NaN   \n",
       "2              NaN     0.000000e+00   0.000000e+00            NaN   \n",
       "3              NaN    -9.536743e-07  -2.328306e-10            NaN   \n",
       "4              NaN     0.000000e+00   0.000000e+00            NaN   \n",
       "...            ...              ...            ...            ...   \n",
       "3103           NaN              NaN            NaN            NaN   \n",
       "3104           NaN              NaN            NaN            NaN   \n",
       "3105           NaN              NaN            NaN            NaN   \n",
       "3106           NaN              NaN            NaN            NaN   \n",
       "3107           NaN              NaN            NaN            NaN   \n",
       "\n",
       "      kg_Tomatoes  kcal_Apples  kg_Apples  kcal_Grapes  kg_Grapes   \n",
       "0             NaN          NaN        NaN          NaN        NaN  \\\n",
       "1             NaN          NaN        NaN          NaN        NaN   \n",
       "2             NaN          NaN        NaN          NaN        NaN   \n",
       "3             NaN          NaN        NaN          NaN        NaN   \n",
       "4             NaN          NaN        NaN          NaN        NaN   \n",
       "...           ...          ...        ...          ...        ...   \n",
       "3103          NaN          0.0        0.0          NaN        NaN   \n",
       "3104          NaN          0.0        0.0          NaN        NaN   \n",
       "3105          NaN          0.0        0.0          NaN        NaN   \n",
       "3106          NaN          0.0        0.0          NaN        NaN   \n",
       "3107          NaN          0.0        0.0          NaN        NaN   \n",
       "\n",
       "      kcal_Other citrus fruits  kg_Other citrus fruits  kcal_Carrots   \n",
       "0                          NaN                     NaN           NaN  \\\n",
       "1                          NaN                     NaN           NaN   \n",
       "2                          NaN                     NaN           NaN   \n",
       "3                          NaN                     NaN           NaN   \n",
       "4                          NaN                     NaN           NaN   \n",
       "...                        ...                     ...           ...   \n",
       "3103                       NaN                     NaN           NaN   \n",
       "3104                       NaN                     NaN           NaN   \n",
       "3105                       NaN                     NaN           NaN   \n",
       "3106                       NaN                     NaN           NaN   \n",
       "3107                       NaN                     NaN           NaN   \n",
       "\n",
       "      kg_Carrots  kcal_Oranges  kg_Oranges  kcal_Peppers  kg_Peppers   \n",
       "0            NaN           NaN         NaN           NaN         NaN  \\\n",
       "1            NaN           NaN         NaN           NaN         NaN   \n",
       "2            NaN           NaN         NaN           NaN         NaN   \n",
       "3            NaN           NaN         NaN           NaN         NaN   \n",
       "4            NaN           NaN         NaN           NaN         NaN   \n",
       "...          ...           ...         ...           ...         ...   \n",
       "3103         NaN           NaN         NaN           NaN         NaN   \n",
       "3104         NaN           NaN         NaN           NaN         NaN   \n",
       "3105         NaN           NaN         NaN           NaN         NaN   \n",
       "3106         NaN           NaN         NaN           NaN         NaN   \n",
       "3107         NaN           NaN         NaN           NaN         NaN   \n",
       "\n",
       "      kcal_Lettuce  kg_Lettuce  kcal_Cabbage  kg_Cabbage  kcal_Celery   \n",
       "0              NaN         NaN           NaN         NaN          NaN  \\\n",
       "1              NaN         NaN           NaN         NaN          NaN   \n",
       "2              NaN         NaN           NaN         NaN          NaN   \n",
       "3              NaN         NaN           NaN         NaN          NaN   \n",
       "4              NaN         NaN           NaN         NaN          NaN   \n",
       "...            ...         ...           ...         ...          ...   \n",
       "3103           NaN         NaN           NaN         NaN          NaN   \n",
       "3104           NaN         NaN           NaN         NaN          NaN   \n",
       "3105           NaN         NaN           NaN         NaN          NaN   \n",
       "3106           NaN         NaN           NaN         NaN          NaN   \n",
       "3107           NaN         NaN           NaN         NaN          NaN   \n",
       "\n",
       "      kg_Celery  kcal_Radishes  kg_Radishes pixels_Tree nuts  kcal_Tree nuts   \n",
       "0           NaN            NaN          NaN                0             NaN  \\\n",
       "1           NaN            NaN          NaN                0             NaN   \n",
       "2           NaN            NaN          NaN                0             NaN   \n",
       "3           NaN            NaN          NaN                0             NaN   \n",
       "4           NaN            NaN          NaN                0             NaN   \n",
       "...         ...            ...          ...              ...             ...   \n",
       "3103        NaN            NaN          NaN                0             NaN   \n",
       "3104        NaN            NaN          NaN                0             NaN   \n",
       "3105        NaN            NaN          NaN                0             NaN   \n",
       "3106        NaN            NaN          NaN                0             NaN   \n",
       "3107        NaN            NaN          NaN                0             NaN   \n",
       "\n",
       "      kg_Tree nuts pixels_Other grain  kcal_Other grain  kg_Other grain   \n",
       "0              NaN                  0               0.0    0.000000e+00  \\\n",
       "1              NaN                439               0.0   -7.275958e-12   \n",
       "2              NaN                  0               0.0    0.000000e+00   \n",
       "3              NaN               4131               0.0   -5.820766e-11   \n",
       "4              NaN                  0               0.0    0.000000e+00   \n",
       "...            ...                ...               ...             ...   \n",
       "3103           NaN                  0               NaN             NaN   \n",
       "3104           NaN                  0               NaN             NaN   \n",
       "3105           NaN                  0               NaN             NaN   \n",
       "3106           NaN                135               NaN             NaN   \n",
       "3107           NaN                  0               NaN             NaN   \n",
       "\n",
       "     pixels_Broccoli and cauliflower  kcal_Broccoli and cauliflower   \n",
       "0                                  0                            NaN  \\\n",
       "1                                  0                            NaN   \n",
       "2                                  0                            NaN   \n",
       "3                                  0                            NaN   \n",
       "4                                  0                            NaN   \n",
       "...                              ...                            ...   \n",
       "3103                               0                            NaN   \n",
       "3104                               0                            NaN   \n",
       "3105                               0                            NaN   \n",
       "3106                               0                            NaN   \n",
       "3107                               0                            NaN   \n",
       "\n",
       "      kg_Broccoli and cauliflower pixels_Stone fruits  kcal_Stone fruits   \n",
       "0                             NaN                   0                NaN  \\\n",
       "1                             NaN                   0                NaN   \n",
       "2                             NaN                   0                NaN   \n",
       "3                             NaN                   0                NaN   \n",
       "4                             NaN                   0                NaN   \n",
       "...                           ...                 ...                ...   \n",
       "3103                          NaN                   0                NaN   \n",
       "3104                          NaN                   0                NaN   \n",
       "3105                          NaN                   0                NaN   \n",
       "3106                          NaN                   0                NaN   \n",
       "3107                          NaN                   0                NaN   \n",
       "\n",
       "      kg_Stone fruits pixels_Berries  kcal_Berries  kg_Berries pixels_Legumes   \n",
       "0                 NaN              0           NaN         NaN              0  \\\n",
       "1                 NaN              0           NaN         NaN              0   \n",
       "2                 NaN              0           NaN         NaN              0   \n",
       "3                 NaN              0           NaN         NaN           4779   \n",
       "4                 NaN              0           NaN         NaN              0   \n",
       "...               ...            ...           ...         ...            ...   \n",
       "3103              NaN              0           NaN         NaN              0   \n",
       "3104              NaN              0           NaN         NaN              0   \n",
       "3105              NaN              0           NaN         NaN              0   \n",
       "3106              NaN              0           NaN         NaN              0   \n",
       "3107              NaN            362           NaN         NaN              0   \n",
       "\n",
       "      kcal_Legumes  kg_Legumes pixels_Melons  kcal_Melons  kg_Melons   \n",
       "0              NaN         NaN             0          NaN        NaN  \\\n",
       "1              NaN         NaN             0          NaN        NaN   \n",
       "2              NaN         NaN             0          NaN        NaN   \n",
       "3              NaN         NaN             0          NaN        NaN   \n",
       "4              NaN         NaN             0          NaN        NaN   \n",
       "...            ...         ...           ...          ...        ...   \n",
       "3103           NaN         NaN             0          NaN        NaN   \n",
       "3104           NaN         NaN             0          NaN        NaN   \n",
       "3105           NaN         NaN             0          NaN        NaN   \n",
       "3106           NaN         NaN             0          NaN        NaN   \n",
       "3107           NaN         NaN             0          NaN        NaN   \n",
       "\n",
       "     pixels_Bananas  kcal_Bananas  kg_Bananas pixels_Tropical fruits   \n",
       "0                 0           0.0         0.0                      0  \\\n",
       "1                 0           0.0         0.0                      0   \n",
       "2                 0           0.0         0.0                      0   \n",
       "3                 0           0.0         0.0                      0   \n",
       "4                 0           0.0         0.0                      0   \n",
       "...             ...           ...         ...                    ...   \n",
       "3103              0           0.0         0.0                      0   \n",
       "3104              0           0.0         0.0                      0   \n",
       "3105              0           0.0         0.0                      0   \n",
       "3106              0           0.0         0.0                      0   \n",
       "3107              0           0.0         0.0                      0   \n",
       "\n",
       "      kcal_Tropical fruits  kg_Tropical fruits geometry  \n",
       "0                      0.0                 0.0     None  \n",
       "1                      0.0                 0.0     None  \n",
       "2                      0.0                 0.0     None  \n",
       "3                      0.0                 0.0     None  \n",
       "4                      0.0                 0.0     None  \n",
       "...                    ...                 ...      ...  \n",
       "3103                   0.0                 0.0     None  \n",
       "3104                   0.0                 0.0     None  \n",
       "3105                   0.0                 0.0     None  \n",
       "3106                   0.0                 0.0     None  \n",
       "3107                   0.0                 0.0     None  \n",
       "\n",
       "[3108 rows x 110 columns]"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Select columns that start with 'kg' or 'kcal' from unscaled_grown_production\n",
    "relevant_columns = [col for col in unscaled_grown_production.columns if col.startswith('kg') or col.startswith('kcal')]\n",
    "\n",
    "unscaled_full_production[relevant_columns] = unscaled_full_production[relevant_columns].astype('float64')\n",
    "# # Create a new dataframe to store the results\n",
    "unscaled_import_production = unscaled_full_production.copy()\n",
    "\n",
    "# Perform subtraction for selected columns\n",
    "unscaled_import_production[relevant_columns] = unscaled_full_production[relevant_columns] - unscaled_grown_production[relevant_columns]\n",
    "\n",
    "unscaled_import_production\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 141,
   "metadata": {},
   "outputs": [],
   "source": [
    "# write unscaled_import_production to csv\n",
    "# unscaled_import_production.to_csv('./output-data/unscaled-import-production.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "def lookup_impact(crop, county, event, calories):\n",
    "    try:\n",
    "        impact = (appdat[(appdat['county'] == county) & (appdat['crop'] == crop) & (appdat['event'] == event)]['hyp_loss'].values[0])/100\n",
    "        return (calories+(impact * calories))\n",
    "    except IndexError:\n",
    "        return None"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "drought_grown_production = unscaled_grown_production.copy()\n",
    "relevant_columns = [col for col in drought_grown_production.columns if col.startswith('kg') or col.startswith('kcal')]\n",
    "\n",
    "for col in relevant_columns:\n",
    "    crop = col.split('_')[1]\n",
    "    # print (crop)\n",
    "    drought_grown_production[col] = drought_grown_production.apply(\n",
    "        lambda row: lookup_impact(crop, row['name'], 'Drought', row[col]),\n",
    "        axis=1\n",
    "    )\n",
    "drought_grown_production"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Corn flour\n",
      "Corn flour\n",
      "Rice dried\n",
      "Rice dried\n",
      "Peanuts\n",
      "Peanuts\n",
      "Sweet corn\n",
      "Sweet corn\n",
      "Wheat flour\n",
      "Wheat flour\n",
      "Oat flour\n",
      "Oat flour\n",
      "Potatoes\n",
      "Potatoes\n",
      "Onions\n",
      "Onions\n",
      "Cucumbers\n",
      "Cucumbers\n",
      "Green peas\n",
      "Green peas\n",
      "Tomatoes\n",
      "Tomatoes\n",
      "Apples\n",
      "Apples\n",
      "Grapes\n",
      "Grapes\n",
      "Other citrus fruits\n",
      "Other citrus fruits\n",
      "Carrots\n",
      "Carrots\n",
      "Oranges\n",
      "Oranges\n",
      "Peppers\n",
      "Peppers\n",
      "Lettuce\n",
      "Lettuce\n",
      "Cabbage\n",
      "Cabbage\n",
      "Celery\n",
      "Celery\n",
      "Radishes\n",
      "Radishes\n",
      "Tree nuts\n",
      "Tree nuts\n",
      "Other grain\n",
      "Other grain\n",
      "Broccoli and cauliflower\n",
      "Broccoli and cauliflower\n",
      "Stone fruits\n",
      "Stone fruits\n",
      "Berries\n",
      "Berries\n",
      "Legumes\n",
      "Legumes\n",
      "Melons\n",
      "Melons\n",
      "Bananas\n",
      "Bananas\n",
      "Tropical fruits\n",
      "Tropical fruits\n"
     ]
    },
    {
     "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>statefp</th>\n",
       "      <th>countyfp</th>\n",
       "      <th>countyns</th>\n",
       "      <th>geoid</th>\n",
       "      <th>name</th>\n",
       "      <th>namelsad</th>\n",
       "      <th>lsad</th>\n",
       "      <th>classfp</th>\n",
       "      <th>mtfcc</th>\n",
       "      <th>csafp</th>\n",
       "      <th>cbsafp</th>\n",
       "      <th>metdivfp</th>\n",
       "      <th>funcstat</th>\n",
       "      <th>aland</th>\n",
       "      <th>awater</th>\n",
       "      <th>intptlat</th>\n",
       "      <th>intptlon</th>\n",
       "      <th>pixels_Corn flour</th>\n",
       "      <th>pixels_Rice dried</th>\n",
       "      <th>pixels_Peanuts</th>\n",
       "      <th>pixels_Sweet corn</th>\n",
       "      <th>pixels_Wheat flour</th>\n",
       "      <th>pixels_Oat flour</th>\n",
       "      <th>pixels_Potatoes</th>\n",
       "      <th>pixels_Onions</th>\n",
       "      <th>pixels_Cucumbers</th>\n",
       "      <th>pixels_Green peas</th>\n",
       "      <th>pixels_Tomatoes</th>\n",
       "      <th>pixels_Apples</th>\n",
       "      <th>pixels_Grapes</th>\n",
       "      <th>pixels_Other citrus fruits</th>\n",
       "      <th>pixels_Carrots</th>\n",
       "      <th>pixels_Oranges</th>\n",
       "      <th>pixels_Peppers</th>\n",
       "      <th>pixels_Lettuce</th>\n",
       "      <th>pixels_Cabbage</th>\n",
       "      <th>pixels_Celery</th>\n",
       "      <th>pixels_Radishes</th>\n",
       "      <th>state</th>\n",
       "      <th>postal</th>\n",
       "      <th>kcal_Corn flour</th>\n",
       "      <th>kg_Corn flour</th>\n",
       "      <th>kcal_Rice dried</th>\n",
       "      <th>kg_Rice dried</th>\n",
       "      <th>kcal_Peanuts</th>\n",
       "      <th>kg_Peanuts</th>\n",
       "      <th>kcal_Sweet corn</th>\n",
       "      <th>kg_Sweet corn</th>\n",
       "      <th>kcal_Wheat flour</th>\n",
       "      <th>kg_Wheat flour</th>\n",
       "      <th>kcal_Oat flour</th>\n",
       "      <th>kg_Oat flour</th>\n",
       "      <th>kcal_Potatoes</th>\n",
       "      <th>kg_Potatoes</th>\n",
       "      <th>kcal_Onions</th>\n",
       "      <th>kg_Onions</th>\n",
       "      <th>kcal_Cucumbers</th>\n",
       "      <th>kg_Cucumbers</th>\n",
       "      <th>kcal_Green peas</th>\n",
       "      <th>kg_Green peas</th>\n",
       "      <th>kcal_Tomatoes</th>\n",
       "      <th>kg_Tomatoes</th>\n",
       "      <th>kcal_Apples</th>\n",
       "      <th>kg_Apples</th>\n",
       "      <th>kcal_Grapes</th>\n",
       "      <th>kg_Grapes</th>\n",
       "      <th>kcal_Other citrus fruits</th>\n",
       "      <th>kg_Other citrus fruits</th>\n",
       "      <th>kcal_Carrots</th>\n",
       "      <th>kg_Carrots</th>\n",
       "      <th>kcal_Oranges</th>\n",
       "      <th>kg_Oranges</th>\n",
       "      <th>kcal_Peppers</th>\n",
       "      <th>kg_Peppers</th>\n",
       "      <th>kcal_Lettuce</th>\n",
       "      <th>kg_Lettuce</th>\n",
       "      <th>kcal_Cabbage</th>\n",
       "      <th>kg_Cabbage</th>\n",
       "      <th>kcal_Celery</th>\n",
       "      <th>kg_Celery</th>\n",
       "      <th>kcal_Radishes</th>\n",
       "      <th>kg_Radishes</th>\n",
       "      <th>pixels_Tree nuts</th>\n",
       "      <th>kcal_Tree nuts</th>\n",
       "      <th>kg_Tree nuts</th>\n",
       "      <th>pixels_Other grain</th>\n",
       "      <th>kcal_Other grain</th>\n",
       "      <th>kg_Other grain</th>\n",
       "      <th>pixels_Broccoli and cauliflower</th>\n",
       "      <th>kcal_Broccoli and cauliflower</th>\n",
       "      <th>kg_Broccoli and cauliflower</th>\n",
       "      <th>pixels_Stone fruits</th>\n",
       "      <th>kcal_Stone fruits</th>\n",
       "      <th>kg_Stone fruits</th>\n",
       "      <th>pixels_Berries</th>\n",
       "      <th>kcal_Berries</th>\n",
       "      <th>kg_Berries</th>\n",
       "      <th>pixels_Legumes</th>\n",
       "      <th>kcal_Legumes</th>\n",
       "      <th>kg_Legumes</th>\n",
       "      <th>pixels_Melons</th>\n",
       "      <th>kcal_Melons</th>\n",
       "      <th>kg_Melons</th>\n",
       "      <th>pixels_Bananas</th>\n",
       "      <th>kcal_Bananas</th>\n",
       "      <th>kg_Bananas</th>\n",
       "      <th>pixels_Tropical fruits</th>\n",
       "      <th>kcal_Tropical fruits</th>\n",
       "      <th>kg_Tropical fruits</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>31</td>\n",
       "      <td>39</td>\n",
       "      <td>835841</td>\n",
       "      <td>31039</td>\n",
       "      <td>Cuming</td>\n",
       "      <td>Cuming County</td>\n",
       "      <td>6</td>\n",
       "      <td>H1</td>\n",
       "      <td>G4020</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>A</td>\n",
       "      <td>1477645345</td>\n",
       "      <td>10690204</td>\n",
       "      <td>41.915865</td>\n",
       "      <td>-96.788517</td>\n",
       "      <td>649877</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>364</td>\n",
       "      <td>848</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Nebraska</td>\n",
       "      <td>NE</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>31</td>\n",
       "      <td>109</td>\n",
       "      <td>835876</td>\n",
       "      <td>31109</td>\n",
       "      <td>Lancaster</td>\n",
       "      <td>Lancaster County</td>\n",
       "      <td>6</td>\n",
       "      <td>H1</td>\n",
       "      <td>G4020</td>\n",
       "      <td>339.0</td>\n",
       "      <td>30700.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>A</td>\n",
       "      <td>2169272970</td>\n",
       "      <td>22847034</td>\n",
       "      <td>40.783547</td>\n",
       "      <td>-96.688658</td>\n",
       "      <td>557931</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4476</td>\n",
       "      <td>338</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Nebraska</td>\n",
       "      <td>NE</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>439</td>\n",
       "      <td>1.159849e+08</td>\n",
       "      <td>34315.054241</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>31</td>\n",
       "      <td>129</td>\n",
       "      <td>835886</td>\n",
       "      <td>31129</td>\n",
       "      <td>Nuckolls</td>\n",
       "      <td>Nuckolls County</td>\n",
       "      <td>6</td>\n",
       "      <td>H1</td>\n",
       "      <td>G4020</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>A</td>\n",
       "      <td>1489645185</td>\n",
       "      <td>1718484</td>\n",
       "      <td>40.176492</td>\n",
       "      <td>-98.046842</td>\n",
       "      <td>492281</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>51658</td>\n",
       "      <td>1569</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Nebraska</td>\n",
       "      <td>NE</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>31</td>\n",
       "      <td>101</td>\n",
       "      <td>835872</td>\n",
       "      <td>31101</td>\n",
       "      <td>Keith</td>\n",
       "      <td>Keith County</td>\n",
       "      <td>6</td>\n",
       "      <td>H1</td>\n",
       "      <td>G4020</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>A</td>\n",
       "      <td>2749903240</td>\n",
       "      <td>124629167</td>\n",
       "      <td>41.194245</td>\n",
       "      <td>-101.644449</td>\n",
       "      <td>489931</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>130044</td>\n",
       "      <td>7521</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>7954</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Nebraska</td>\n",
       "      <td>NE</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4131</td>\n",
       "      <td>1.241564e+09</td>\n",
       "      <td>365753.964743</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4779</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>31</td>\n",
       "      <td>137</td>\n",
       "      <td>835890</td>\n",
       "      <td>31137</td>\n",
       "      <td>Phelps</td>\n",
       "      <td>Phelps County</td>\n",
       "      <td>6</td>\n",
       "      <td>H1</td>\n",
       "      <td>G4020</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>A</td>\n",
       "      <td>1398048634</td>\n",
       "      <td>1646526</td>\n",
       "      <td>40.516365</td>\n",
       "      <td>-99.406557</td>\n",
       "      <td>719100</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>7193</td>\n",
       "      <td>757</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Nebraska</td>\n",
       "      <td>NE</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>None</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",
       "      <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",
       "      <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",
       "      <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",
       "      <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",
       "      <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",
       "      <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>3103</th>\n",
       "      <td>44</td>\n",
       "      <td>9</td>\n",
       "      <td>1219782</td>\n",
       "      <td>44009</td>\n",
       "      <td>Washington</td>\n",
       "      <td>Washington County</td>\n",
       "      <td>6</td>\n",
       "      <td>H4</td>\n",
       "      <td>G4020</td>\n",
       "      <td>148.0</td>\n",
       "      <td>39300.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N</td>\n",
       "      <td>852827571</td>\n",
       "      <td>604769755</td>\n",
       "      <td>41.396792</td>\n",
       "      <td>-71.620282</td>\n",
       "      <td>9025</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>151</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Rhode Island</td>\n",
       "      <td>RI</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>2.275033e+08</td>\n",
       "      <td>393604.296961</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3104</th>\n",
       "      <td>44</td>\n",
       "      <td>7</td>\n",
       "      <td>1219781</td>\n",
       "      <td>44007</td>\n",
       "      <td>Providence</td>\n",
       "      <td>Providence County</td>\n",
       "      <td>6</td>\n",
       "      <td>H4</td>\n",
       "      <td>G4020</td>\n",
       "      <td>148.0</td>\n",
       "      <td>39300.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N</td>\n",
       "      <td>1060552463</td>\n",
       "      <td>67870199</td>\n",
       "      <td>41.869768</td>\n",
       "      <td>-71.578625</td>\n",
       "      <td>3049</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>296</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Rhode Island</td>\n",
       "      <td>RI</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.999671e+08</td>\n",
       "      <td>854630.5248</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3105</th>\n",
       "      <td>44</td>\n",
       "      <td>1</td>\n",
       "      <td>1219777</td>\n",
       "      <td>44001</td>\n",
       "      <td>Bristol</td>\n",
       "      <td>Bristol County</td>\n",
       "      <td>6</td>\n",
       "      <td>H4</td>\n",
       "      <td>G4020</td>\n",
       "      <td>148.0</td>\n",
       "      <td>39300.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N</td>\n",
       "      <td>62500772</td>\n",
       "      <td>53359134</td>\n",
       "      <td>41.706840</td>\n",
       "      <td>-71.286687</td>\n",
       "      <td>391</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Rhode Island</td>\n",
       "      <td>RI</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3106</th>\n",
       "      <td>44</td>\n",
       "      <td>5</td>\n",
       "      <td>1219779</td>\n",
       "      <td>44005</td>\n",
       "      <td>Newport</td>\n",
       "      <td>Newport County</td>\n",
       "      <td>6</td>\n",
       "      <td>H4</td>\n",
       "      <td>G4020</td>\n",
       "      <td>148.0</td>\n",
       "      <td>39300.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N</td>\n",
       "      <td>265293780</td>\n",
       "      <td>547001789</td>\n",
       "      <td>41.501045</td>\n",
       "      <td>-71.283063</td>\n",
       "      <td>4613</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1201</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Rhode Island</td>\n",
       "      <td>RI</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>135</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3107</th>\n",
       "      <td>44</td>\n",
       "      <td>3</td>\n",
       "      <td>1219778</td>\n",
       "      <td>44003</td>\n",
       "      <td>Kent</td>\n",
       "      <td>Kent County</td>\n",
       "      <td>6</td>\n",
       "      <td>H4</td>\n",
       "      <td>G4020</td>\n",
       "      <td>148.0</td>\n",
       "      <td>39300.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N</td>\n",
       "      <td>436588773</td>\n",
       "      <td>50686111</td>\n",
       "      <td>41.675118</td>\n",
       "      <td>-71.580282</td>\n",
       "      <td>1068</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>115</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Rhode Island</td>\n",
       "      <td>RI</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>362</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3108 rows × 109 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      statefp  countyfp  countyns  geoid        name           namelsad  lsad   \n",
       "0          31        39    835841  31039      Cuming      Cuming County     6  \\\n",
       "1          31       109    835876  31109   Lancaster   Lancaster County     6   \n",
       "2          31       129    835886  31129    Nuckolls    Nuckolls County     6   \n",
       "3          31       101    835872  31101       Keith       Keith County     6   \n",
       "4          31       137    835890  31137      Phelps      Phelps County     6   \n",
       "...       ...       ...       ...    ...         ...                ...   ...   \n",
       "3103       44         9   1219782  44009  Washington  Washington County     6   \n",
       "3104       44         7   1219781  44007  Providence  Providence County     6   \n",
       "3105       44         1   1219777  44001     Bristol     Bristol County     6   \n",
       "3106       44         5   1219779  44005     Newport     Newport County     6   \n",
       "3107       44         3   1219778  44003        Kent        Kent County     6   \n",
       "\n",
       "     classfp  mtfcc  csafp   cbsafp  metdivfp funcstat       aland     awater   \n",
       "0         H1  G4020    NaN      NaN       NaN        A  1477645345   10690204  \\\n",
       "1         H1  G4020  339.0  30700.0       NaN        A  2169272970   22847034   \n",
       "2         H1  G4020    NaN      NaN       NaN        A  1489645185    1718484   \n",
       "3         H1  G4020    NaN      NaN       NaN        A  2749903240  124629167   \n",
       "4         H1  G4020    NaN      NaN       NaN        A  1398048634    1646526   \n",
       "...      ...    ...    ...      ...       ...      ...         ...        ...   \n",
       "3103      H4  G4020  148.0  39300.0       NaN        N   852827571  604769755   \n",
       "3104      H4  G4020  148.0  39300.0       NaN        N  1060552463   67870199   \n",
       "3105      H4  G4020  148.0  39300.0       NaN        N    62500772   53359134   \n",
       "3106      H4  G4020  148.0  39300.0       NaN        N   265293780  547001789   \n",
       "3107      H4  G4020  148.0  39300.0       NaN        N   436588773   50686111   \n",
       "\n",
       "       intptlat    intptlon  pixels_Corn flour  pixels_Rice dried   \n",
       "0     41.915865  -96.788517             649877                  0  \\\n",
       "1     40.783547  -96.688658             557931                  0   \n",
       "2     40.176492  -98.046842             492281                  0   \n",
       "3     41.194245 -101.644449             489931                  0   \n",
       "4     40.516365  -99.406557             719100                  0   \n",
       "...         ...         ...                ...                ...   \n",
       "3103  41.396792  -71.620282               9025                  0   \n",
       "3104  41.869768  -71.578625               3049                  0   \n",
       "3105  41.706840  -71.286687                391                  0   \n",
       "3106  41.501045  -71.283063               4613                  0   \n",
       "3107  41.675118  -71.580282               1068                  0   \n",
       "\n",
       "      pixels_Peanuts  pixels_Sweet corn  pixels_Wheat flour  pixels_Oat flour   \n",
       "0                  0                  0                 364               848  \\\n",
       "1                  0                  0                4476               338   \n",
       "2                  0                  0               51658              1569   \n",
       "3                  0                  0              130044              7521   \n",
       "4                  0                  0                7193               757   \n",
       "...              ...                ...                 ...               ...   \n",
       "3103               0                  0                   0                 0   \n",
       "3104               0                  0                   0                 0   \n",
       "3105               0                  0                   0                 0   \n",
       "3106               0                  0                   0                 0   \n",
       "3107               0                  0                   0                 0   \n",
       "\n",
       "      pixels_Potatoes  pixels_Onions  pixels_Cucumbers  pixels_Green peas   \n",
       "0                   0              0                 0                  0  \\\n",
       "1                   0              0                 0                  0   \n",
       "2                   0              0                 0                  0   \n",
       "3                   0              0                 0               7954   \n",
       "4                   0              0                 0                  0   \n",
       "...               ...            ...               ...                ...   \n",
       "3103              151              0                 0                  0   \n",
       "3104                0              0                 0                  0   \n",
       "3105                0              0                 0                  0   \n",
       "3106             1201              0                 0                  0   \n",
       "3107                0              0                 0                  0   \n",
       "\n",
       "      pixels_Tomatoes  pixels_Apples  pixels_Grapes   \n",
       "0                   0              0              0  \\\n",
       "1                   0              0              0   \n",
       "2                   0              0              0   \n",
       "3                   0              0              0   \n",
       "4                   0              0              0   \n",
       "...               ...            ...            ...   \n",
       "3103                0              0              0   \n",
       "3104                0            296              0   \n",
       "3105                0              0              0   \n",
       "3106                0              0              0   \n",
       "3107                0              0              0   \n",
       "\n",
       "      pixels_Other citrus fruits  pixels_Carrots  pixels_Oranges   \n",
       "0                              0               0               0  \\\n",
       "1                              0               0               0   \n",
       "2                              0               0               0   \n",
       "3                              0               0               0   \n",
       "4                              0               0               0   \n",
       "...                          ...             ...             ...   \n",
       "3103                           0               0               0   \n",
       "3104                           0               0               0   \n",
       "3105                           0               0               0   \n",
       "3106                           0               0               0   \n",
       "3107                           0               0               0   \n",
       "\n",
       "      pixels_Peppers  pixels_Lettuce  pixels_Cabbage  pixels_Celery   \n",
       "0                  0               0               0              0  \\\n",
       "1                  0               0               0              0   \n",
       "2                  0               0               0              0   \n",
       "3                  0               0               0              0   \n",
       "4                  0               0               0              0   \n",
       "...              ...             ...             ...            ...   \n",
       "3103               0               0               0              0   \n",
       "3104               0               0               0              0   \n",
       "3105               0               0               0              0   \n",
       "3106               0               0               0              0   \n",
       "3107             115               0               0              0   \n",
       "\n",
       "      pixels_Radishes         state postal kcal_Corn flour kg_Corn flour   \n",
       "0                   0      Nebraska     NE            None          None  \\\n",
       "1                   0      Nebraska     NE            None          None   \n",
       "2                   0      Nebraska     NE            None          None   \n",
       "3                   0      Nebraska     NE            None          None   \n",
       "4                   0      Nebraska     NE            None          None   \n",
       "...               ...           ...    ...             ...           ...   \n",
       "3103                0  Rhode Island     RI            None          None   \n",
       "3104                0  Rhode Island     RI            None          None   \n",
       "3105                0  Rhode Island     RI            None          None   \n",
       "3106                0  Rhode Island     RI            None          None   \n",
       "3107                0  Rhode Island     RI            None          None   \n",
       "\n",
       "     kcal_Rice dried kg_Rice dried  kcal_Peanuts  kg_Peanuts  kcal_Sweet corn   \n",
       "0               None          None           NaN         NaN              NaN  \\\n",
       "1               None          None           NaN         NaN              NaN   \n",
       "2               None          None           NaN         NaN              NaN   \n",
       "3               None          None           NaN         NaN              NaN   \n",
       "4               None          None           NaN         NaN              NaN   \n",
       "...              ...           ...           ...         ...              ...   \n",
       "3103            None          None           NaN         NaN              NaN   \n",
       "3104            None          None           NaN         NaN              NaN   \n",
       "3105            None          None           NaN         NaN              NaN   \n",
       "3106            None          None           NaN         NaN              NaN   \n",
       "3107            None          None           NaN         NaN              NaN   \n",
       "\n",
       "      kg_Sweet corn kcal_Wheat flour kg_Wheat flour kcal_Oat flour   \n",
       "0               NaN             None           None           None  \\\n",
       "1               NaN             None           None           None   \n",
       "2               NaN             None           None           None   \n",
       "3               NaN             None           None           None   \n",
       "4               NaN             None           None           None   \n",
       "...             ...              ...            ...            ...   \n",
       "3103            NaN             None           None           None   \n",
       "3104            NaN             None           None           None   \n",
       "3105            NaN             None           None           None   \n",
       "3106            NaN             None           None           None   \n",
       "3107            NaN             None           None           None   \n",
       "\n",
       "     kg_Oat flour  kcal_Potatoes    kg_Potatoes kcal_Onions kg_Onions   \n",
       "0            None   0.000000e+00       0.000000        None      None  \\\n",
       "1            None   0.000000e+00       0.000000        None      None   \n",
       "2            None   0.000000e+00       0.000000        None      None   \n",
       "3            None   0.000000e+00       0.000000        None      None   \n",
       "4            None   0.000000e+00       0.000000        None      None   \n",
       "...           ...            ...            ...         ...       ...   \n",
       "3103         None   2.275033e+08  393604.296961        None      None   \n",
       "3104         None   0.000000e+00       0.000000        None      None   \n",
       "3105         None   0.000000e+00       0.000000        None      None   \n",
       "3106         None            NaN            NaN        None      None   \n",
       "3107         None   0.000000e+00       0.000000        None      None   \n",
       "\n",
       "      kcal_Cucumbers  kg_Cucumbers  kcal_Green peas  kg_Green peas   \n",
       "0                NaN           NaN              NaN            NaN  \\\n",
       "1                NaN           NaN              NaN            NaN   \n",
       "2                NaN           NaN              NaN            NaN   \n",
       "3                NaN           NaN              NaN            NaN   \n",
       "4                NaN           NaN              NaN            NaN   \n",
       "...              ...           ...              ...            ...   \n",
       "3103             NaN           NaN              NaN            NaN   \n",
       "3104             NaN           NaN              NaN            NaN   \n",
       "3105             NaN           NaN              NaN            NaN   \n",
       "3106             NaN           NaN              NaN            NaN   \n",
       "3107             NaN           NaN              NaN            NaN   \n",
       "\n",
       "      kcal_Tomatoes  kg_Tomatoes   kcal_Apples    kg_Apples  kcal_Grapes   \n",
       "0               NaN          NaN           NaN          NaN          NaN  \\\n",
       "1               NaN          NaN           NaN          NaN          NaN   \n",
       "2               NaN          NaN           NaN          NaN          NaN   \n",
       "3               NaN          NaN           NaN          NaN          NaN   \n",
       "4               NaN          NaN           NaN          NaN          NaN   \n",
       "...             ...          ...           ...          ...          ...   \n",
       "3103            NaN          NaN  0.000000e+00       0.0000          NaN   \n",
       "3104            NaN          NaN  3.999671e+08  854630.5248          NaN   \n",
       "3105            NaN          NaN  0.000000e+00       0.0000          NaN   \n",
       "3106            NaN          NaN  0.000000e+00       0.0000          NaN   \n",
       "3107            NaN          NaN  0.000000e+00       0.0000          NaN   \n",
       "\n",
       "      kg_Grapes  kcal_Other citrus fruits  kg_Other citrus fruits   \n",
       "0           NaN                       NaN                     NaN  \\\n",
       "1           NaN                       NaN                     NaN   \n",
       "2           NaN                       NaN                     NaN   \n",
       "3           NaN                       NaN                     NaN   \n",
       "4           NaN                       NaN                     NaN   \n",
       "...         ...                       ...                     ...   \n",
       "3103        NaN                       NaN                     NaN   \n",
       "3104        NaN                       NaN                     NaN   \n",
       "3105        NaN                       NaN                     NaN   \n",
       "3106        NaN                       NaN                     NaN   \n",
       "3107        NaN                       NaN                     NaN   \n",
       "\n",
       "      kcal_Carrots  kg_Carrots  kcal_Oranges  kg_Oranges  kcal_Peppers   \n",
       "0              NaN         NaN           NaN         NaN           NaN  \\\n",
       "1              NaN         NaN           NaN         NaN           NaN   \n",
       "2              NaN         NaN           NaN         NaN           NaN   \n",
       "3              NaN         NaN           NaN         NaN           NaN   \n",
       "4              NaN         NaN           NaN         NaN           NaN   \n",
       "...            ...         ...           ...         ...           ...   \n",
       "3103           NaN         NaN           NaN         NaN           NaN   \n",
       "3104           NaN         NaN           NaN         NaN           NaN   \n",
       "3105           NaN         NaN           NaN         NaN           NaN   \n",
       "3106           NaN         NaN           NaN         NaN           NaN   \n",
       "3107           NaN         NaN           NaN         NaN           NaN   \n",
       "\n",
       "      kg_Peppers  kcal_Lettuce  kg_Lettuce  kcal_Cabbage  kg_Cabbage   \n",
       "0            NaN           NaN         NaN           NaN         NaN  \\\n",
       "1            NaN           NaN         NaN           NaN         NaN   \n",
       "2            NaN           NaN         NaN           NaN         NaN   \n",
       "3            NaN           NaN         NaN           NaN         NaN   \n",
       "4            NaN           NaN         NaN           NaN         NaN   \n",
       "...          ...           ...         ...           ...         ...   \n",
       "3103         NaN           NaN         NaN           NaN         NaN   \n",
       "3104         NaN           NaN         NaN           NaN         NaN   \n",
       "3105         NaN           NaN         NaN           NaN         NaN   \n",
       "3106         NaN           NaN         NaN           NaN         NaN   \n",
       "3107         NaN           NaN         NaN           NaN         NaN   \n",
       "\n",
       "      kcal_Celery  kg_Celery kcal_Radishes kg_Radishes  pixels_Tree nuts   \n",
       "0             NaN        NaN          None        None                 0  \\\n",
       "1             NaN        NaN          None        None                 0   \n",
       "2             NaN        NaN          None        None                 0   \n",
       "3             NaN        NaN          None        None                 0   \n",
       "4             NaN        NaN          None        None                 0   \n",
       "...           ...        ...           ...         ...               ...   \n",
       "3103          NaN        NaN          None        None                 0   \n",
       "3104          NaN        NaN          None        None                 0   \n",
       "3105          NaN        NaN          None        None                 0   \n",
       "3106          NaN        NaN          None        None                 0   \n",
       "3107          NaN        NaN          None        None                 0   \n",
       "\n",
       "      kcal_Tree nuts  kg_Tree nuts  pixels_Other grain  kcal_Other grain   \n",
       "0                NaN           NaN                   0      0.000000e+00  \\\n",
       "1                NaN           NaN                 439      1.159849e+08   \n",
       "2                NaN           NaN                   0      0.000000e+00   \n",
       "3                NaN           NaN                4131      1.241564e+09   \n",
       "4                NaN           NaN                   0      0.000000e+00   \n",
       "...              ...           ...                 ...               ...   \n",
       "3103             NaN           NaN                   0               NaN   \n",
       "3104             NaN           NaN                   0               NaN   \n",
       "3105             NaN           NaN                   0               NaN   \n",
       "3106             NaN           NaN                 135               NaN   \n",
       "3107             NaN           NaN                   0               NaN   \n",
       "\n",
       "      kg_Other grain  pixels_Broccoli and cauliflower   \n",
       "0           0.000000                                0  \\\n",
       "1       34315.054241                                0   \n",
       "2           0.000000                                0   \n",
       "3      365753.964743                                0   \n",
       "4           0.000000                                0   \n",
       "...              ...                              ...   \n",
       "3103             NaN                                0   \n",
       "3104             NaN                                0   \n",
       "3105             NaN                                0   \n",
       "3106             NaN                                0   \n",
       "3107             NaN                                0   \n",
       "\n",
       "      kcal_Broccoli and cauliflower  kg_Broccoli and cauliflower   \n",
       "0                               NaN                          NaN  \\\n",
       "1                               NaN                          NaN   \n",
       "2                               NaN                          NaN   \n",
       "3                               NaN                          NaN   \n",
       "4                               NaN                          NaN   \n",
       "...                             ...                          ...   \n",
       "3103                            NaN                          NaN   \n",
       "3104                            NaN                          NaN   \n",
       "3105                            NaN                          NaN   \n",
       "3106                            NaN                          NaN   \n",
       "3107                            NaN                          NaN   \n",
       "\n",
       "      pixels_Stone fruits  kcal_Stone fruits  kg_Stone fruits  pixels_Berries   \n",
       "0                       0                NaN              NaN               0  \\\n",
       "1                       0                NaN              NaN               0   \n",
       "2                       0                NaN              NaN               0   \n",
       "3                       0                NaN              NaN               0   \n",
       "4                       0                NaN              NaN               0   \n",
       "...                   ...                ...              ...             ...   \n",
       "3103                    0                NaN              NaN               0   \n",
       "3104                    0                NaN              NaN               0   \n",
       "3105                    0                NaN              NaN               0   \n",
       "3106                    0                NaN              NaN               0   \n",
       "3107                    0                NaN              NaN             362   \n",
       "\n",
       "      kcal_Berries  kg_Berries  pixels_Legumes  kcal_Legumes  kg_Legumes   \n",
       "0              NaN         NaN               0           NaN         NaN  \\\n",
       "1              NaN         NaN               0           NaN         NaN   \n",
       "2              NaN         NaN               0           NaN         NaN   \n",
       "3              NaN         NaN            4779           NaN         NaN   \n",
       "4              NaN         NaN               0           NaN         NaN   \n",
       "...            ...         ...             ...           ...         ...   \n",
       "3103           NaN         NaN               0           NaN         NaN   \n",
       "3104           NaN         NaN               0           NaN         NaN   \n",
       "3105           NaN         NaN               0           NaN         NaN   \n",
       "3106           NaN         NaN               0           NaN         NaN   \n",
       "3107           NaN         NaN               0           NaN         NaN   \n",
       "\n",
       "      pixels_Melons  kcal_Melons  kg_Melons  pixels_Bananas kcal_Bananas   \n",
       "0                 0          NaN        NaN               0         None  \\\n",
       "1                 0          NaN        NaN               0         None   \n",
       "2                 0          NaN        NaN               0         None   \n",
       "3                 0          NaN        NaN               0         None   \n",
       "4                 0          NaN        NaN               0         None   \n",
       "...             ...          ...        ...             ...          ...   \n",
       "3103              0          NaN        NaN               0         None   \n",
       "3104              0          NaN        NaN               0         None   \n",
       "3105              0          NaN        NaN               0         None   \n",
       "3106              0          NaN        NaN               0         None   \n",
       "3107              0          NaN        NaN               0         None   \n",
       "\n",
       "     kg_Bananas  pixels_Tropical fruits kcal_Tropical fruits   \n",
       "0          None                       0                 None  \\\n",
       "1          None                       0                 None   \n",
       "2          None                       0                 None   \n",
       "3          None                       0                 None   \n",
       "4          None                       0                 None   \n",
       "...         ...                     ...                  ...   \n",
       "3103       None                       0                 None   \n",
       "3104       None                       0                 None   \n",
       "3105       None                       0                 None   \n",
       "3106       None                       0                 None   \n",
       "3107       None                       0                 None   \n",
       "\n",
       "     kg_Tropical fruits  \n",
       "0                  None  \n",
       "1                  None  \n",
       "2                  None  \n",
       "3                  None  \n",
       "4                  None  \n",
       "...                 ...  \n",
       "3103               None  \n",
       "3104               None  \n",
       "3105               None  \n",
       "3106               None  \n",
       "3107               None  \n",
       "\n",
       "[3108 rows x 109 columns]"
      ]
     },
     "execution_count": 112,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "heat_grown_production = unscaled_grown_production.copy()\n",
    "relevant_columns = [col for col in heat_grown_production.columns if col.startswith('kg') or col.startswith('kcal')]\n",
    "for col in relevant_columns:\n",
    "    crop = col.split('_')[1]\n",
    "    print (crop)\n",
    "    heat_grown_production[col] = heat_grown_production.apply(\n",
    "        lambda row: lookup_impact(crop, row['name'], 'Extreme heat', row[col]),\n",
    "        axis=1\n",
    "    )\n",
    "heat_grown_production"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# write heat_grown_production and drought_grown_production to csv files\n",
    "\n",
    "heat_grown_production.to_csv('./output-data/heat_grown_production.csv')\n",
    "drought_grown_production.to_csv('./output-data/drought_grown_production.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "heat_grown_production = pd.read_csv('./output-data/unscaled_heat_grown_production.csv')\n",
    "drought_grown_production = pd.read_csv('./output-data/unscaled_drought_grown_production.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "for c in heat_grown_production.columns:\n",
    "    if c in relevant_columns:\n",
    "        crop = c.split('_')[1]\n",
    "        units = c.split('_')[0]\n",
    "        new_column_name = f'{units}_heat_{crop}'\n",
    "        heat_grown_production.rename(columns={c: new_column_name}, inplace=True)\n",
    "\n",
    "for c in drought_grown_production.columns:\n",
    "    if c in relevant_columns:\n",
    "        crop = c.split('_')[1]\n",
    "        units = c.split('_')[0]\n",
    "        new_column_name = f'{units}_drought_{crop}'\n",
    "        drought_grown_production.rename(columns={c: new_column_name}, inplace=True)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "column_mapping = {\n",
    "    'Corn flour': 'Corn',\n",
    "    'Oat flour': 'Oats',\n",
    "    'Rice dried': 'Rice',\n",
    "    'Wheat flour': 'Wheat'\n",
    "}\n",
    "def rename_columns(col):\n",
    "    parts = col.split('_')\n",
    "    if len(parts) > 2:\n",
    "        i = ' '.join(parts[2:])  \n",
    "        if u in column_mapping:\n",
    "            return f\"{parts[0]}_{parts[1]}_{column_mapping[i]}\"\n",
    "    return col\n",
    "\n",
    "heat_grown_production.columns = heat_grown_production.columns.map(rename_columns)\n",
    "drought_grown_production.columns = drought_grown_production.columns.map(rename_columns)\n",
    "unscaled_import_production.columns = unscaled_import_production.columns.map(rename_columns)\n",
    "unscaled_grown_production.columns = unscaled_grown_production.columns.map(rename_columns)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "heat_grown_production.to_csv('./output-data/unscaled-heat-grown-production.csv')\n",
    "drought_grown_production.to_csv('./output-data/unscaled-drought-grown-production.csv')\n",
    "unscaled_import_production.to_csv('./output-data/unscaled-import-production.csv')\n",
    "unscaled_grown_production.to_csv('./output-data/unscaled-grown-production.csv')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Scaling and joining production data\n",
    "`scaled_production` is the geodataframe with or current scaled production predictions. In this section we will divide our unscaled numbers by the scale ratios and join to scaled_production with column names including `_heat_` our `_drought_` to denote the drought or heat impacted. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "metadata": {},
   "outputs": [],
   "source": [
    "heat_grown_production = pd.read_csv('output-data/unscaled-heat-grown-production.csv')\n",
    "drought_grown_production = pd.read_csv('output-data/unscaled-drought-grown-production.csv')\n",
    "unscaled_import_production = pd.read_csv('output-data/unscaled-import-production.csv')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "metadata": {},
   "outputs": [],
   "source": [
    "# in heat_grown_production for any column name that starts with kg or kcal print the column name\n",
    "def scale_production(df):\n",
    "    working_df = df.copy()\n",
    "    for column in working_df.columns:\n",
    "        if column.startswith('kg') or column.startswith('kcal'):\n",
    "            # print everything after the last _\n",
    "            crop_name = column.split('_')[-1]\n",
    "            working_df[column] = working_df[column] / ratios[crop_name]\n",
    "    return working_df\n",
    "scaled_heat_grown_production = scale_production(heat_grown_production)\n",
    "scaled_drought_grown_production = scale_production(drought_grown_production)\n",
    "scaled_import_production = scale_production(unscaled_import_production)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "158392813.50315592\n",
      "464374634.5951693\n",
      "ratio should be 2.931791059989706\n",
      "ratio is 2.931791059989706\n"
     ]
    }
   ],
   "source": [
    "# return the row with the index 3103 of the column kcal_heat_potatoes\n",
    "# ratio is \"Potatoes\": 2.931791059989706\n",
    "print(scaled_drought_grown_production.loc[100, 'kcal_drought_Potatoes'])\n",
    "print(drought_grown_production.loc[100, 'kcal_drought_Potatoes'])\n",
    "print (\"ratio should be 2.931791059989706\")\n",
    "print (\"ratio is \" + str(drought_grown_production.loc[100, 'kcal_drought_Potatoes']/scaled_drought_grown_production.loc[100, 'kcal_drought_Potatoes']))\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "metadata": {},
   "outputs": [],
   "source": [
    "# in heat_grown_production for any column name that starts with kg or kcal print the column name\n",
    "def add_imports(df):\n",
    "    working_df = df.copy()\n",
    "    working_df = working_df.fillna(0)\n",
    "    for column in working_df.columns:\n",
    "        if column.startswith('kg'):\n",
    "            crop_name = column.split('_')[-1]\n",
    "            working_df[column] = working_df[column] + scaled_import_production[\"kg_\"+crop_name]\n",
    "        if column.startswith('kcal'):\n",
    "            crop_name = column.split('_')[-1]\n",
    "            working_df[column] = working_df[column] + scaled_import_production[\"kcal_\"+crop_name]\n",
    "    return working_df\n",
    "scaled_heat_production = add_imports(scaled_heat_grown_production)\n",
    "scaled_drought_production = add_imports(scaled_drought_grown_production)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>geoid</th>\n",
       "      <th>statefp</th>\n",
       "      <th>countyfp</th>\n",
       "      <th>countyns</th>\n",
       "      <th>name</th>\n",
       "      <th>namelsad</th>\n",
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       "      <th>cbsafp</th>\n",
       "      <th>metdivfp</th>\n",
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       "      <th>aland</th>\n",
       "      <th>awater</th>\n",
       "      <th>intptlat</th>\n",
       "      <th>intptlon</th>\n",
       "      <th>pixels_Corn</th>\n",
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       "      <th>pixels_Onions</th>\n",
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       "      <th>pixels_Green peas</th>\n",
       "      <th>pixels_Tomatoes</th>\n",
       "      <th>pixels_Apples</th>\n",
       "      <th>pixels_Grapes</th>\n",
       "      <th>pixels_Other citrus fruits</th>\n",
       "      <th>pixels_Carrots</th>\n",
       "      <th>pixels_Oranges</th>\n",
       "      <th>pixels_Peppers</th>\n",
       "      <th>pixels_Lettuce</th>\n",
       "      <th>pixels_Cabbage</th>\n",
       "      <th>pixels_Celery</th>\n",
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       "      <th>state</th>\n",
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       "      <th>kcal_Rice</th>\n",
       "      <th>kg_Rice</th>\n",
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       "      <th>kg_Peanuts</th>\n",
       "      <th>kcal_Sweet corn</th>\n",
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       "      <th>kcal_Wheat</th>\n",
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       "      <th>kcal_Oats</th>\n",
       "      <th>kg_Oats</th>\n",
       "      <th>kcal_Potatoes</th>\n",
       "      <th>kg_Potatoes</th>\n",
       "      <th>kcal_Onions</th>\n",
       "      <th>kg_Onions</th>\n",
       "      <th>kcal_Cucumbers</th>\n",
       "      <th>kg_Cucumbers</th>\n",
       "      <th>kcal_Green peas</th>\n",
       "      <th>kg_Green peas</th>\n",
       "      <th>kcal_Tomatoes</th>\n",
       "      <th>kg_Tomatoes</th>\n",
       "      <th>kcal_Apples</th>\n",
       "      <th>kg_Apples</th>\n",
       "      <th>kcal_Grapes</th>\n",
       "      <th>kg_Grapes</th>\n",
       "      <th>kcal_Other citrus fruits</th>\n",
       "      <th>kg_Other citrus fruits</th>\n",
       "      <th>kcal_Carrots</th>\n",
       "      <th>kg_Carrots</th>\n",
       "      <th>kcal_Oranges</th>\n",
       "      <th>kg_Oranges</th>\n",
       "      <th>kcal_Peppers</th>\n",
       "      <th>kg_Peppers</th>\n",
       "      <th>kcal_Lettuce</th>\n",
       "      <th>kg_Lettuce</th>\n",
       "      <th>kcal_Cabbage</th>\n",
       "      <th>kg_Cabbage</th>\n",
       "      <th>kcal_Celery</th>\n",
       "      <th>kg_Celery</th>\n",
       "      <th>kcal_Radishes</th>\n",
       "      <th>kg_Radishes</th>\n",
       "      <th>pixels_Tree nuts</th>\n",
       "      <th>kcal_Tree nuts</th>\n",
       "      <th>kg_Tree nuts</th>\n",
       "      <th>pixels_Other grain</th>\n",
       "      <th>kcal_Other grain</th>\n",
       "      <th>kg_Other grain</th>\n",
       "      <th>pixels_Broccoli and cauliflower</th>\n",
       "      <th>kcal_Broccoli and cauliflower</th>\n",
       "      <th>kg_Broccoli and cauliflower</th>\n",
       "      <th>pixels_Stone fruits</th>\n",
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       "      <th>kg_Stone fruits</th>\n",
       "      <th>pixels_Berries</th>\n",
       "      <th>kcal_Berries</th>\n",
       "      <th>kg_Berries</th>\n",
       "      <th>pixels_Legumes</th>\n",
       "      <th>kcal_Legumes</th>\n",
       "      <th>kg_Legumes</th>\n",
       "      <th>pixels_Melons</th>\n",
       "      <th>kcal_Melons</th>\n",
       "      <th>kg_Melons</th>\n",
       "      <th>pixels_Bananas</th>\n",
       "      <th>kcal_Bananas</th>\n",
       "      <th>kg_Bananas</th>\n",
       "      <th>pixels_Tropical fruits</th>\n",
       "      <th>kcal_Tropical fruits</th>\n",
       "      <th>kg_Tropical fruits</th>\n",
       "      <th>geometry</th>\n",
       "    </tr>\n",
       "  </thead>\n",
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       "      <td>6</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>942</th>\n",
       "      <td>942</td>\n",
       "      <td>13201</td>\n",
       "      <td>13</td>\n",
       "      <td>201</td>\n",
       "      <td>344088</td>\n",
       "      <td>Miller</td>\n",
       "      <td>Miller County</td>\n",
       "      <td>6</td>\n",
       "      <td>H1</td>\n",
       "      <td>G4020</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>A</td>\n",
       "      <td>731471756</td>\n",
       "      <td>3211332</td>\n",
       "      <td>31.162931</td>\n",
       "      <td>-84.730398</td>\n",
       "      <td>34484</td>\n",
       "      <td>0</td>\n",
       "      <td>119541</td>\n",
       "      <td>0</td>\n",
       "      <td>2514</td>\n",
       "      <td>821</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Georgia</td>\n",
       "      <td>GA</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>-2.130584e-11</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1.934817e-05</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20261</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>18589</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>380</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>404</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1330</th>\n",
       "      <td>1330</td>\n",
       "      <td>29201</td>\n",
       "      <td>29</td>\n",
       "      <td>201</td>\n",
       "      <td>758553</td>\n",
       "      <td>Scott</td>\n",
       "      <td>Scott County</td>\n",
       "      <td>6</td>\n",
       "      <td>H1</td>\n",
       "      <td>G4020</td>\n",
       "      <td>164.0</td>\n",
       "      <td>43460.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>A</td>\n",
       "      <td>1087808789</td>\n",
       "      <td>15175233</td>\n",
       "      <td>37.047793</td>\n",
       "      <td>-89.568097</td>\n",
       "      <td>234406</td>\n",
       "      <td>7415</td>\n",
       "      <td>669</td>\n",
       "      <td>0</td>\n",
       "      <td>3283</td>\n",
       "      <td>0</td>\n",
       "      <td>1123</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Missouri</td>\n",
       "      <td>MO</td>\n",
       "      <td>6.981499e-07</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10095</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2398</th>\n",
       "      <td>2398</td>\n",
       "      <td>20201</td>\n",
       "      <td>20</td>\n",
       "      <td>201</td>\n",
       "      <td>485061</td>\n",
       "      <td>Washington</td>\n",
       "      <td>Washington County</td>\n",
       "      <td>6</td>\n",
       "      <td>H1</td>\n",
       "      <td>G4020</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>A</td>\n",
       "      <td>2317414332</td>\n",
       "      <td>10139473</td>\n",
       "      <td>39.776714</td>\n",
       "      <td>-97.095611</td>\n",
       "      <td>364607</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>122765</td>\n",
       "      <td>7533</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Kansas</td>\n",
       "      <td>KS</td>\n",
       "      <td>6.981499e-07</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>121</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2612</th>\n",
       "      <td>2612</td>\n",
       "      <td>17201</td>\n",
       "      <td>17</td>\n",
       "      <td>201</td>\n",
       "      <td>1785216</td>\n",
       "      <td>Winnebago</td>\n",
       "      <td>Winnebago County</td>\n",
       "      <td>6</td>\n",
       "      <td>H1</td>\n",
       "      <td>G4020</td>\n",
       "      <td>466.0</td>\n",
       "      <td>40420.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>A</td>\n",
       "      <td>1328792558</td>\n",
       "      <td>15873993</td>\n",
       "      <td>42.337396</td>\n",
       "      <td>-89.161205</td>\n",
       "      <td>368857</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6510</td>\n",
       "      <td>331</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Illinois</td>\n",
       "      <td>IL</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      Unnamed: 0  geoid  statefp  countyfp  countyns        name   \n",
       "333          333  48201       48       201   1383886      Harris  \\\n",
       "560          560  21201       21       201    516947   Robertson   \n",
       "942          942  13201       13       201    344088      Miller   \n",
       "1330        1330  29201       29       201    758553       Scott   \n",
       "2398        2398  20201       20       201    485061  Washington   \n",
       "2612        2612  17201       17       201   1785216   Winnebago   \n",
       "\n",
       "               namelsad  lsad classfp  mtfcc  csafp   cbsafp  metdivfp   \n",
       "333       Harris County     6      H1  G4020  288.0  26420.0       0.0  \\\n",
       "560    Robertson County     6      H1  G4020    0.0      0.0       0.0   \n",
       "942       Miller County     6      H1  G4020    0.0      0.0       0.0   \n",
       "1330       Scott County     6      H1  G4020  164.0  43460.0       0.0   \n",
       "2398  Washington County     6      H1  G4020    0.0      0.0       0.0   \n",
       "2612   Winnebago County     6      H1  G4020  466.0  40420.0       0.0   \n",
       "\n",
       "     funcstat       aland     awater   intptlat   intptlon  pixels_Corn   \n",
       "333         A  4421068052  182379558  29.857273 -95.393037        15816  \\\n",
       "560         A   258794976     484952  38.513473 -84.064230          496   \n",
       "942         A   731471756    3211332  31.162931 -84.730398        34484   \n",
       "1330        A  1087808789   15175233  37.047793 -89.568097       234406   \n",
       "2398        A  2317414332   10139473  39.776714 -97.095611       364607   \n",
       "2612        A  1328792558   15873993  42.337396 -89.161205       368857   \n",
       "\n",
       "      pixels_Rice  pixels_Peanuts  pixels_Sweet corn  pixels_Wheat   \n",
       "333          8889               0                  0             0  \\\n",
       "560             0               0                  0             0   \n",
       "942             0          119541                  0          2514   \n",
       "1330         7415             669                  0          3283   \n",
       "2398            0               0                  0        122765   \n",
       "2612            0               0                  0          6510   \n",
       "\n",
       "      pixels_Oats  pixels_Potatoes  pixels_Onions  pixels_Cucumbers   \n",
       "333             0                0              0                 0  \\\n",
       "560             0                0              0                 0   \n",
       "942           821                0              0                 0   \n",
       "1330            0             1123              0                 0   \n",
       "2398         7533                0              0                 0   \n",
       "2612          331                0              0                 0   \n",
       "\n",
       "      pixels_Green peas  pixels_Tomatoes  pixels_Apples  pixels_Grapes   \n",
       "333                   0                0              0              0  \\\n",
       "560                   0                0              0              0   \n",
       "942                   0                0              0              0   \n",
       "1330                  0                0              0              0   \n",
       "2398                  0                0              0              0   \n",
       "2612                  0                0              0              0   \n",
       "\n",
       "      pixels_Other citrus fruits  pixels_Carrots  pixels_Oranges   \n",
       "333                            0               0               0  \\\n",
       "560                            0               0               0   \n",
       "942                            0               0               0   \n",
       "1330                           0               0               0   \n",
       "2398                           0               0               0   \n",
       "2612                           0               0               0   \n",
       "\n",
       "      pixels_Peppers  pixels_Lettuce  pixels_Cabbage  pixels_Celery   \n",
       "333                0               0               0              0  \\\n",
       "560                0               0               0              0   \n",
       "942                0               0               0              0   \n",
       "1330               0               0               0              0   \n",
       "2398               0               0               0              0   \n",
       "2612               0               0               0              0   \n",
       "\n",
       "      pixels_Radishes     state postal     kcal_Corn       kg_Corn   \n",
       "333                 0     Texas     TX  1.522111e+07  4.193144e+03  \\\n",
       "560                 0  Kentucky     KY  0.000000e+00  0.000000e+00   \n",
       "942                 0   Georgia     GA  0.000000e+00 -2.130584e-11   \n",
       "1330                0  Missouri     MO  6.981499e-07  0.000000e+00   \n",
       "2398                0    Kansas     KS  6.981499e-07  0.000000e+00   \n",
       "2612                0  Illinois     IL  0.000000e+00  0.000000e+00   \n",
       "\n",
       "         kcal_Rice       kg_Rice  kcal_Peanuts     kg_Peanuts   \n",
       "333   1.631612e+10  1.263078e+07  1.908871e+09  325191.025803  \\\n",
       "560            NaN           NaN           NaN            NaN   \n",
       "942            NaN           NaN -1.934817e-05       0.000000   \n",
       "1330  0.000000e+00  0.000000e+00           NaN            NaN   \n",
       "2398           NaN           NaN           NaN            NaN   \n",
       "2612           NaN           NaN           NaN            NaN   \n",
       "\n",
       "      kcal_Sweet corn  kg_Sweet corn    kcal_Wheat      kg_Wheat  kcal_Oats   \n",
       "333               NaN            NaN  3.602281e+10  1.085024e+07        0.0  \\\n",
       "560               NaN            NaN  0.000000e+00  0.000000e+00        0.0   \n",
       "942               NaN            NaN  0.000000e+00  0.000000e+00        0.0   \n",
       "1330              NaN            NaN  0.000000e+00  0.000000e+00        0.0   \n",
       "2398              NaN            NaN  0.000000e+00  0.000000e+00        0.0   \n",
       "2612              NaN            NaN  0.000000e+00  0.000000e+00        0.0   \n",
       "\n",
       "      kg_Oats  kcal_Potatoes    kg_Potatoes   kcal_Onions      kg_Onions   \n",
       "333       0.0   1.142378e+09  906649.193483  2.993841e+08  654075.378018  \\\n",
       "560       0.0            NaN            NaN           NaN            NaN   \n",
       "942       0.0            NaN            NaN  0.000000e+00       0.000000   \n",
       "1330      0.0   0.000000e+00       0.000000           NaN            NaN   \n",
       "2398      0.0   0.000000e+00       0.000000           NaN            NaN   \n",
       "2612      0.0   0.000000e+00       0.000000           NaN            NaN   \n",
       "\n",
       "      kcal_Cucumbers   kg_Cucumbers  kcal_Green peas  kg_Green peas   \n",
       "333     1.830815e+08  416094.237074              NaN            NaN  \\\n",
       "560              NaN            NaN              NaN            NaN   \n",
       "942     0.000000e+00       0.000000              NaN            NaN   \n",
       "1330             NaN            NaN              NaN            NaN   \n",
       "2398             NaN            NaN              NaN            NaN   \n",
       "2612             NaN            NaN              0.0            0.0   \n",
       "\n",
       "      kcal_Tomatoes  kg_Tomatoes  kcal_Apples  kg_Apples  kcal_Grapes   \n",
       "333             NaN          NaN          NaN        NaN          NaN  \\\n",
       "560             NaN          NaN          NaN        NaN          NaN   \n",
       "942             NaN          NaN          0.0        0.0          0.0   \n",
       "1330            NaN          NaN          NaN        NaN          NaN   \n",
       "2398            NaN          NaN          NaN        NaN          NaN   \n",
       "2612            NaN          NaN          NaN        NaN          NaN   \n",
       "\n",
       "      kg_Grapes  kcal_Other citrus fruits  kg_Other citrus fruits   \n",
       "333         NaN              3.388647e+09            6.448771e+06  \\\n",
       "560         NaN                       NaN                     NaN   \n",
       "942         0.0                       NaN                     NaN   \n",
       "1330        NaN                       NaN                     NaN   \n",
       "2398        NaN                       NaN                     NaN   \n",
       "2612        NaN                       NaN                     NaN   \n",
       "\n",
       "      kcal_Carrots    kg_Carrots  kcal_Oranges    kg_Oranges  kcal_Peppers   \n",
       "333   5.300653e+06  12928.421494  3.033583e+09  6.073516e+06  1.415641e+07  \\\n",
       "560            NaN           NaN           NaN           NaN           NaN   \n",
       "942            NaN           NaN           NaN           NaN           NaN   \n",
       "1330           NaN           NaN           NaN           NaN           NaN   \n",
       "2398           NaN           NaN           NaN           NaN           NaN   \n",
       "2612           NaN           NaN           NaN           NaN           NaN   \n",
       "\n",
       "        kg_Peppers  kcal_Lettuce  kg_Lettuce  kcal_Cabbage  kg_Cabbage   \n",
       "333   64347.317183           NaN         NaN           0.0         0.0  \\\n",
       "560            NaN           NaN         NaN           NaN         NaN   \n",
       "942            NaN           NaN         NaN           0.0         0.0   \n",
       "1330           NaN           NaN         NaN           NaN         NaN   \n",
       "2398           NaN           NaN         NaN           NaN         NaN   \n",
       "2612           NaN           NaN         NaN           NaN         NaN   \n",
       "\n",
       "      kcal_Celery  kg_Celery  kcal_Radishes  kg_Radishes  pixels_Tree nuts   \n",
       "333           NaN        NaN            NaN          NaN                 0  \\\n",
       "560           NaN        NaN            NaN          NaN                 0   \n",
       "942           NaN        NaN            NaN          NaN             20261   \n",
       "1330          NaN        NaN            NaN          NaN                 0   \n",
       "2398          NaN        NaN            NaN          NaN                 0   \n",
       "2612          NaN        NaN            NaN          NaN                 0   \n",
       "\n",
       "      kcal_Tree nuts  kg_Tree nuts  pixels_Other grain  kcal_Other grain   \n",
       "333              NaN           NaN                   0               0.0  \\\n",
       "560              NaN           NaN                   0               0.0   \n",
       "942              NaN           NaN               18589               NaN   \n",
       "1330             NaN           NaN               10095               NaN   \n",
       "2398             NaN           NaN                 121               0.0   \n",
       "2612             NaN           NaN                   0               NaN   \n",
       "\n",
       "      kg_Other grain  pixels_Broccoli and cauliflower   \n",
       "333              0.0                                0  \\\n",
       "560              0.0                                0   \n",
       "942              NaN                                0   \n",
       "1330             NaN                                0   \n",
       "2398             0.0                                0   \n",
       "2612             NaN                                0   \n",
       "\n",
       "      kcal_Broccoli and cauliflower  kg_Broccoli and cauliflower   \n",
       "333                             NaN                          NaN  \\\n",
       "560                             NaN                          NaN   \n",
       "942                             NaN                          NaN   \n",
       "1330                            NaN                          NaN   \n",
       "2398                            NaN                          NaN   \n",
       "2612                            NaN                          NaN   \n",
       "\n",
       "      pixels_Stone fruits  kcal_Stone fruits  kg_Stone fruits  pixels_Berries   \n",
       "333                     0                NaN              NaN               0  \\\n",
       "560                     0                NaN              NaN               0   \n",
       "942                     0                NaN              NaN               0   \n",
       "1330                    0                NaN              NaN               0   \n",
       "2398                    0                NaN              NaN               0   \n",
       "2612                    0                NaN              NaN               0   \n",
       "\n",
       "      kcal_Berries  kg_Berries  pixels_Legumes  kcal_Legumes  kg_Legumes   \n",
       "333            NaN         NaN               0           NaN         NaN  \\\n",
       "560            NaN         NaN               0           NaN         NaN   \n",
       "942            NaN         NaN             380           NaN         NaN   \n",
       "1330           NaN         NaN               0           NaN         NaN   \n",
       "2398           NaN         NaN               0           NaN         NaN   \n",
       "2612           NaN         NaN               0           NaN         NaN   \n",
       "\n",
       "      pixels_Melons   kcal_Melons     kg_Melons  pixels_Bananas  kcal_Bananas   \n",
       "333               0  2.487056e+09  7.133160e+06               0  7.026923e+10  \\\n",
       "560               0           NaN           NaN               0  0.000000e+00   \n",
       "942             404  0.000000e+00  0.000000e+00               0  0.000000e+00   \n",
       "1330              0           NaN           NaN               0  0.000000e+00   \n",
       "2398              0           NaN           NaN               0  0.000000e+00   \n",
       "2612              0           NaN           NaN               0  0.000000e+00   \n",
       "\n",
       "        kg_Bananas  pixels_Tropical fruits  kcal_Tropical fruits   \n",
       "333   7.244251e+07                       0          3.326967e+10  \\\n",
       "560   0.000000e+00                       0          0.000000e+00   \n",
       "942   0.000000e+00                       0          0.000000e+00   \n",
       "1330  0.000000e+00                       0          0.000000e+00   \n",
       "2398  0.000000e+00                       0          0.000000e+00   \n",
       "2612  0.000000e+00                       0          0.000000e+00   \n",
       "\n",
       "      kg_Tropical fruits  geometry  \n",
       "333         6.141517e+07       NaN  \n",
       "560         0.000000e+00       NaN  \n",
       "942         0.000000e+00       NaN  \n",
       "1330        0.000000e+00       NaN  \n",
       "2398        0.000000e+00       NaN  \n",
       "2612        0.000000e+00       NaN  "
      ]
     },
     "execution_count": 113,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# return the row of scaled_import_production with countyfp as 201\n",
    "scaled_import_production[scaled_import_production['countyfp'] == 201]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "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: 0.1</th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>statefp</th>\n",
       "      <th>countyfp</th>\n",
       "      <th>countyns</th>\n",
       "      <th>geoid</th>\n",
       "      <th>name</th>\n",
       "      <th>namelsad</th>\n",
       "      <th>lsad</th>\n",
       "      <th>classfp</th>\n",
       "      <th>mtfcc</th>\n",
       "      <th>csafp</th>\n",
       "      <th>cbsafp</th>\n",
       "      <th>metdivfp</th>\n",
       "      <th>funcstat</th>\n",
       "      <th>aland</th>\n",
       "      <th>awater</th>\n",
       "      <th>intptlat</th>\n",
       "      <th>intptlon</th>\n",
       "      <th>pixels_Corn</th>\n",
       "      <th>pixels_Rice</th>\n",
       "      <th>pixels_Peanuts</th>\n",
       "      <th>pixels_Sweet corn</th>\n",
       "      <th>pixels_Wheat</th>\n",
       "      <th>pixels_Oats</th>\n",
       "      <th>pixels_Potatoes</th>\n",
       "      <th>pixels_Onions</th>\n",
       "      <th>pixels_Cucumbers</th>\n",
       "      <th>pixels_Green peas</th>\n",
       "      <th>pixels_Tomatoes</th>\n",
       "      <th>pixels_Apples</th>\n",
       "      <th>pixels_Grapes</th>\n",
       "      <th>pixels_Other citrus fruits</th>\n",
       "      <th>pixels_Carrots</th>\n",
       "      <th>pixels_Oranges</th>\n",
       "      <th>pixels_Peppers</th>\n",
       "      <th>pixels_Lettuce</th>\n",
       "      <th>pixels_Cabbage</th>\n",
       "      <th>pixels_Celery</th>\n",
       "      <th>pixels_Radishes</th>\n",
       "      <th>state</th>\n",
       "      <th>postal</th>\n",
       "      <th>kcal_heat_Corn</th>\n",
       "      <th>kg_heat_Corn</th>\n",
       "      <th>kcal_heat_Rice</th>\n",
       "      <th>kg_heat_Rice</th>\n",
       "      <th>kcal_heat_Peanuts</th>\n",
       "      <th>kg_heat_Peanuts</th>\n",
       "      <th>kcal_heat_Sweet corn</th>\n",
       "      <th>kg_heat_Sweet corn</th>\n",
       "      <th>kcal_heat_Wheat</th>\n",
       "      <th>kg_heat_Wheat</th>\n",
       "      <th>kcal_heat_Oats</th>\n",
       "      <th>kg_heat_Oats</th>\n",
       "      <th>kcal_heat_Potatoes</th>\n",
       "      <th>kg_heat_Potatoes</th>\n",
       "      <th>kcal_heat_Onions</th>\n",
       "      <th>kg_heat_Onions</th>\n",
       "      <th>kcal_heat_Cucumbers</th>\n",
       "      <th>kg_heat_Cucumbers</th>\n",
       "      <th>kcal_heat_Green peas</th>\n",
       "      <th>kg_heat_Green peas</th>\n",
       "      <th>kcal_heat_Tomatoes</th>\n",
       "      <th>kg_heat_Tomatoes</th>\n",
       "      <th>kcal_heat_Apples</th>\n",
       "      <th>kg_heat_Apples</th>\n",
       "      <th>kcal_heat_Grapes</th>\n",
       "      <th>kg_heat_Grapes</th>\n",
       "      <th>kcal_heat_Other citrus fruits</th>\n",
       "      <th>kg_heat_Other citrus fruits</th>\n",
       "      <th>kcal_heat_Carrots</th>\n",
       "      <th>kg_heat_Carrots</th>\n",
       "      <th>kcal_heat_Oranges</th>\n",
       "      <th>kg_heat_Oranges</th>\n",
       "      <th>kcal_heat_Peppers</th>\n",
       "      <th>kg_heat_Peppers</th>\n",
       "      <th>kcal_heat_Lettuce</th>\n",
       "      <th>kg_heat_Lettuce</th>\n",
       "      <th>kcal_heat_Cabbage</th>\n",
       "      <th>kg_heat_Cabbage</th>\n",
       "      <th>kcal_heat_Celery</th>\n",
       "      <th>kg_heat_Celery</th>\n",
       "      <th>kcal_heat_Radishes</th>\n",
       "      <th>kg_heat_Radishes</th>\n",
       "      <th>pixels_Tree nuts</th>\n",
       "      <th>kcal_heat_Tree nuts</th>\n",
       "      <th>kg_heat_Tree nuts</th>\n",
       "      <th>pixels_Other grain</th>\n",
       "      <th>kcal_heat_Other grain</th>\n",
       "      <th>kg_heat_Other grain</th>\n",
       "      <th>pixels_Broccoli and cauliflower</th>\n",
       "      <th>kcal_heat_Broccoli and cauliflower</th>\n",
       "      <th>kg_heat_Broccoli and cauliflower</th>\n",
       "      <th>pixels_Stone fruits</th>\n",
       "      <th>kcal_heat_Stone fruits</th>\n",
       "      <th>kg_heat_Stone fruits</th>\n",
       "      <th>pixels_Berries</th>\n",
       "      <th>kcal_heat_Berries</th>\n",
       "      <th>kg_heat_Berries</th>\n",
       "      <th>pixels_Legumes</th>\n",
       "      <th>kcal_heat_Legumes</th>\n",
       "      <th>kg_heat_Legumes</th>\n",
       "      <th>pixels_Melons</th>\n",
       "      <th>kcal_heat_Melons</th>\n",
       "      <th>kg_heat_Melons</th>\n",
       "      <th>pixels_Bananas</th>\n",
       "      <th>kcal_heat_Bananas</th>\n",
       "      <th>kg_heat_Bananas</th>\n",
       "      <th>pixels_Tropical fruits</th>\n",
       "      <th>kcal_heat_Tropical fruits</th>\n",
       "      <th>kg_heat_Tropical fruits</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>333</th>\n",
       "      <td>333</td>\n",
       "      <td>333</td>\n",
       "      <td>48</td>\n",
       "      <td>201</td>\n",
       "      <td>1383886</td>\n",
       "      <td>48201</td>\n",
       "      <td>Harris</td>\n",
       "      <td>Harris County</td>\n",
       "      <td>6</td>\n",
       "      <td>H1</td>\n",
       "      <td>G4020</td>\n",
       "      <td>288.0</td>\n",
       "      <td>26420.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>A</td>\n",
       "      <td>4421068052</td>\n",
       "      <td>182379558</td>\n",
       "      <td>29.857273</td>\n",
       "      <td>-95.393037</td>\n",
       "      <td>15816</td>\n",
       "      <td>8889</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Texas</td>\n",
       "      <td>TX</td>\n",
       "      <td>1.522111e+07</td>\n",
       "      <td>4.193144e+03</td>\n",
       "      <td>1.631612e+10</td>\n",
       "      <td>1.263078e+07</td>\n",
       "      <td>1.908871e+09</td>\n",
       "      <td>3.251910e+05</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.602281e+10</td>\n",
       "      <td>1.085024e+07</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.142378e+09</td>\n",
       "      <td>9.066492e+05</td>\n",
       "      <td>2.993841e+08</td>\n",
       "      <td>654075.378018</td>\n",
       "      <td>1.830815e+08</td>\n",
       "      <td>416094.237074</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.388647e+09</td>\n",
       "      <td>6.448771e+06</td>\n",
       "      <td>5.300653e+06</td>\n",
       "      <td>12928.421494</td>\n",
       "      <td>3.033583e+09</td>\n",
       "      <td>6.073516e+06</td>\n",
       "      <td>1.415641e+07</td>\n",
       "      <td>64347.317183</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>2.487056e+09</td>\n",
       "      <td>7.133160e+06</td>\n",
       "      <td>0</td>\n",
       "      <td>7.026923e+10</td>\n",
       "      <td>7.244251e+07</td>\n",
       "      <td>0</td>\n",
       "      <td>3.326967e+10</td>\n",
       "      <td>6.141517e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>560</th>\n",
       "      <td>560</td>\n",
       "      <td>560</td>\n",
       "      <td>21</td>\n",
       "      <td>201</td>\n",
       "      <td>516947</td>\n",
       "      <td>21201</td>\n",
       "      <td>Robertson</td>\n",
       "      <td>Robertson County</td>\n",
       "      <td>6</td>\n",
       "      <td>H1</td>\n",
       "      <td>G4020</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>A</td>\n",
       "      <td>258794976</td>\n",
       "      <td>484952</td>\n",
       "      <td>38.513473</td>\n",
       "      <td>-84.064230</td>\n",
       "      <td>496</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Kentucky</td>\n",
       "      <td>KY</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>942</th>\n",
       "      <td>942</td>\n",
       "      <td>942</td>\n",
       "      <td>13</td>\n",
       "      <td>201</td>\n",
       "      <td>344088</td>\n",
       "      <td>13201</td>\n",
       "      <td>Miller</td>\n",
       "      <td>Miller County</td>\n",
       "      <td>6</td>\n",
       "      <td>H1</td>\n",
       "      <td>G4020</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>A</td>\n",
       "      <td>731471756</td>\n",
       "      <td>3211332</td>\n",
       "      <td>31.162931</td>\n",
       "      <td>-84.730398</td>\n",
       "      <td>34484</td>\n",
       "      <td>0</td>\n",
       "      <td>119541</td>\n",
       "      <td>0</td>\n",
       "      <td>2514</td>\n",
       "      <td>821</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Georgia</td>\n",
       "      <td>GA</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>-2.130584e-11</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.274908e+11</td>\n",
       "      <td>2.248515e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20261</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>18589</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>380</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>404</td>\n",
       "      <td>3.214524e+08</td>\n",
       "      <td>2.060593e+06</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1330</th>\n",
       "      <td>1330</td>\n",
       "      <td>1330</td>\n",
       "      <td>29</td>\n",
       "      <td>201</td>\n",
       "      <td>758553</td>\n",
       "      <td>29201</td>\n",
       "      <td>Scott</td>\n",
       "      <td>Scott County</td>\n",
       "      <td>6</td>\n",
       "      <td>H1</td>\n",
       "      <td>G4020</td>\n",
       "      <td>164.0</td>\n",
       "      <td>43460.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>A</td>\n",
       "      <td>1087808789</td>\n",
       "      <td>15175233</td>\n",
       "      <td>37.047793</td>\n",
       "      <td>-89.568097</td>\n",
       "      <td>234406</td>\n",
       "      <td>7415</td>\n",
       "      <td>669</td>\n",
       "      <td>0</td>\n",
       "      <td>3283</td>\n",
       "      <td>0</td>\n",
       "      <td>1123</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Missouri</td>\n",
       "      <td>MO</td>\n",
       "      <td>6.981499e-07</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.692149e+10</td>\n",
       "      <td>2.927594e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10095</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2398</th>\n",
       "      <td>2398</td>\n",
       "      <td>2398</td>\n",
       "      <td>20</td>\n",
       "      <td>201</td>\n",
       "      <td>485061</td>\n",
       "      <td>20201</td>\n",
       "      <td>Washington</td>\n",
       "      <td>Washington County</td>\n",
       "      <td>6</td>\n",
       "      <td>H1</td>\n",
       "      <td>G4020</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>A</td>\n",
       "      <td>2317414332</td>\n",
       "      <td>10139473</td>\n",
       "      <td>39.776714</td>\n",
       "      <td>-97.095611</td>\n",
       "      <td>364607</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>122765</td>\n",
       "      <td>7533</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Kansas</td>\n",
       "      <td>KS</td>\n",
       "      <td>6.981499e-07</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>121</td>\n",
       "      <td>1.447449e+07</td>\n",
       "      <td>4282.393289</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2612</th>\n",
       "      <td>2612</td>\n",
       "      <td>2612</td>\n",
       "      <td>17</td>\n",
       "      <td>201</td>\n",
       "      <td>1785216</td>\n",
       "      <td>17201</td>\n",
       "      <td>Winnebago</td>\n",
       "      <td>Winnebago County</td>\n",
       "      <td>6</td>\n",
       "      <td>H1</td>\n",
       "      <td>G4020</td>\n",
       "      <td>466.0</td>\n",
       "      <td>40420.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>A</td>\n",
       "      <td>1328792558</td>\n",
       "      <td>15873993</td>\n",
       "      <td>42.337396</td>\n",
       "      <td>-89.161205</td>\n",
       "      <td>368857</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6510</td>\n",
       "      <td>331</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Illinois</td>\n",
       "      <td>IL</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      Unnamed: 0.1  Unnamed: 0  statefp  countyfp  countyns  geoid   \n",
       "333            333         333       48       201   1383886  48201  \\\n",
       "560            560         560       21       201    516947  21201   \n",
       "942            942         942       13       201    344088  13201   \n",
       "1330          1330        1330       29       201    758553  29201   \n",
       "2398          2398        2398       20       201    485061  20201   \n",
       "2612          2612        2612       17       201   1785216  17201   \n",
       "\n",
       "            name           namelsad  lsad classfp  mtfcc  csafp   cbsafp   \n",
       "333       Harris      Harris County     6      H1  G4020  288.0  26420.0  \\\n",
       "560    Robertson   Robertson County     6      H1  G4020    0.0      0.0   \n",
       "942       Miller      Miller County     6      H1  G4020    0.0      0.0   \n",
       "1330       Scott       Scott County     6      H1  G4020  164.0  43460.0   \n",
       "2398  Washington  Washington County     6      H1  G4020    0.0      0.0   \n",
       "2612   Winnebago   Winnebago County     6      H1  G4020  466.0  40420.0   \n",
       "\n",
       "      metdivfp funcstat       aland     awater   intptlat   intptlon   \n",
       "333        0.0        A  4421068052  182379558  29.857273 -95.393037  \\\n",
       "560        0.0        A   258794976     484952  38.513473 -84.064230   \n",
       "942        0.0        A   731471756    3211332  31.162931 -84.730398   \n",
       "1330       0.0        A  1087808789   15175233  37.047793 -89.568097   \n",
       "2398       0.0        A  2317414332   10139473  39.776714 -97.095611   \n",
       "2612       0.0        A  1328792558   15873993  42.337396 -89.161205   \n",
       "\n",
       "      pixels_Corn  pixels_Rice  pixels_Peanuts  pixels_Sweet corn   \n",
       "333         15816         8889               0                  0  \\\n",
       "560           496            0               0                  0   \n",
       "942         34484            0          119541                  0   \n",
       "1330       234406         7415             669                  0   \n",
       "2398       364607            0               0                  0   \n",
       "2612       368857            0               0                  0   \n",
       "\n",
       "      pixels_Wheat  pixels_Oats  pixels_Potatoes  pixels_Onions   \n",
       "333              0            0                0              0  \\\n",
       "560              0            0                0              0   \n",
       "942           2514          821                0              0   \n",
       "1330          3283            0             1123              0   \n",
       "2398        122765         7533                0              0   \n",
       "2612          6510          331                0              0   \n",
       "\n",
       "      pixels_Cucumbers  pixels_Green peas  pixels_Tomatoes  pixels_Apples   \n",
       "333                  0                  0                0              0  \\\n",
       "560                  0                  0                0              0   \n",
       "942                  0                  0                0              0   \n",
       "1330                 0                  0                0              0   \n",
       "2398                 0                  0                0              0   \n",
       "2612                 0                  0                0              0   \n",
       "\n",
       "      pixels_Grapes  pixels_Other citrus fruits  pixels_Carrots   \n",
       "333               0                           0               0  \\\n",
       "560               0                           0               0   \n",
       "942               0                           0               0   \n",
       "1330              0                           0               0   \n",
       "2398              0                           0               0   \n",
       "2612              0                           0               0   \n",
       "\n",
       "      pixels_Oranges  pixels_Peppers  pixels_Lettuce  pixels_Cabbage   \n",
       "333                0               0               0               0  \\\n",
       "560                0               0               0               0   \n",
       "942                0               0               0               0   \n",
       "1330               0               0               0               0   \n",
       "2398               0               0               0               0   \n",
       "2612               0               0               0               0   \n",
       "\n",
       "      pixels_Celery  pixels_Radishes     state postal  kcal_heat_Corn   \n",
       "333               0                0     Texas     TX    1.522111e+07  \\\n",
       "560               0                0  Kentucky     KY    0.000000e+00   \n",
       "942               0                0   Georgia     GA    0.000000e+00   \n",
       "1330              0                0  Missouri     MO    6.981499e-07   \n",
       "2398              0                0    Kansas     KS    6.981499e-07   \n",
       "2612              0                0  Illinois     IL    0.000000e+00   \n",
       "\n",
       "      kg_heat_Corn  kcal_heat_Rice  kg_heat_Rice  kcal_heat_Peanuts   \n",
       "333   4.193144e+03    1.631612e+10  1.263078e+07       1.908871e+09  \\\n",
       "560   0.000000e+00             NaN           NaN                NaN   \n",
       "942  -2.130584e-11             NaN           NaN       1.274908e+11   \n",
       "1330  0.000000e+00    0.000000e+00  0.000000e+00                NaN   \n",
       "2398  0.000000e+00             NaN           NaN                NaN   \n",
       "2612  0.000000e+00             NaN           NaN                NaN   \n",
       "\n",
       "      kg_heat_Peanuts  kcal_heat_Sweet corn  kg_heat_Sweet corn   \n",
       "333      3.251910e+05                   NaN                 NaN  \\\n",
       "560               NaN                   NaN                 NaN   \n",
       "942      2.248515e+07                   NaN                 NaN   \n",
       "1330              NaN                   NaN                 NaN   \n",
       "2398              NaN                   NaN                 NaN   \n",
       "2612              NaN                   NaN                 NaN   \n",
       "\n",
       "      kcal_heat_Wheat  kg_heat_Wheat  kcal_heat_Oats  kg_heat_Oats   \n",
       "333      3.602281e+10   1.085024e+07             0.0           0.0  \\\n",
       "560      0.000000e+00   0.000000e+00             0.0           0.0   \n",
       "942      0.000000e+00   0.000000e+00             0.0           0.0   \n",
       "1330     0.000000e+00   0.000000e+00             0.0           0.0   \n",
       "2398     0.000000e+00   0.000000e+00             0.0           0.0   \n",
       "2612     0.000000e+00   0.000000e+00             0.0           0.0   \n",
       "\n",
       "      kcal_heat_Potatoes  kg_heat_Potatoes  kcal_heat_Onions  kg_heat_Onions   \n",
       "333         1.142378e+09      9.066492e+05      2.993841e+08   654075.378018  \\\n",
       "560                  NaN               NaN               NaN             NaN   \n",
       "942                  NaN               NaN      0.000000e+00        0.000000   \n",
       "1330        1.692149e+10      2.927594e+07               NaN             NaN   \n",
       "2398        0.000000e+00      0.000000e+00               NaN             NaN   \n",
       "2612        0.000000e+00      0.000000e+00               NaN             NaN   \n",
       "\n",
       "      kcal_heat_Cucumbers  kg_heat_Cucumbers  kcal_heat_Green peas   \n",
       "333          1.830815e+08      416094.237074                   NaN  \\\n",
       "560                   NaN                NaN                   NaN   \n",
       "942          0.000000e+00           0.000000                   NaN   \n",
       "1330                  NaN                NaN                   NaN   \n",
       "2398                  NaN                NaN                   NaN   \n",
       "2612                  NaN                NaN                   0.0   \n",
       "\n",
       "      kg_heat_Green peas  kcal_heat_Tomatoes  kg_heat_Tomatoes   \n",
       "333                  NaN                 NaN               NaN  \\\n",
       "560                  NaN                 NaN               NaN   \n",
       "942                  NaN                 NaN               NaN   \n",
       "1330                 NaN                 NaN               NaN   \n",
       "2398                 NaN                 NaN               NaN   \n",
       "2612                 0.0                 NaN               NaN   \n",
       "\n",
       "      kcal_heat_Apples  kg_heat_Apples  kcal_heat_Grapes  kg_heat_Grapes   \n",
       "333                NaN             NaN               NaN             NaN  \\\n",
       "560                NaN             NaN               NaN             NaN   \n",
       "942                0.0             0.0               0.0             0.0   \n",
       "1330               NaN             NaN               NaN             NaN   \n",
       "2398               NaN             NaN               NaN             NaN   \n",
       "2612               NaN             NaN               NaN             NaN   \n",
       "\n",
       "      kcal_heat_Other citrus fruits  kg_heat_Other citrus fruits   \n",
       "333                    3.388647e+09                 6.448771e+06  \\\n",
       "560                             NaN                          NaN   \n",
       "942                             NaN                          NaN   \n",
       "1330                            NaN                          NaN   \n",
       "2398                            NaN                          NaN   \n",
       "2612                            NaN                          NaN   \n",
       "\n",
       "      kcal_heat_Carrots  kg_heat_Carrots  kcal_heat_Oranges  kg_heat_Oranges   \n",
       "333        5.300653e+06     12928.421494       3.033583e+09     6.073516e+06  \\\n",
       "560                 NaN              NaN                NaN              NaN   \n",
       "942                 NaN              NaN                NaN              NaN   \n",
       "1330                NaN              NaN                NaN              NaN   \n",
       "2398                NaN              NaN                NaN              NaN   \n",
       "2612                NaN              NaN                NaN              NaN   \n",
       "\n",
       "      kcal_heat_Peppers  kg_heat_Peppers  kcal_heat_Lettuce  kg_heat_Lettuce   \n",
       "333        1.415641e+07     64347.317183                NaN              NaN  \\\n",
       "560                 NaN              NaN                NaN              NaN   \n",
       "942                 NaN              NaN                NaN              NaN   \n",
       "1330                NaN              NaN                NaN              NaN   \n",
       "2398                NaN              NaN                NaN              NaN   \n",
       "2612                NaN              NaN                NaN              NaN   \n",
       "\n",
       "      kcal_heat_Cabbage  kg_heat_Cabbage  kcal_heat_Celery  kg_heat_Celery   \n",
       "333                 0.0              0.0               NaN             NaN  \\\n",
       "560                 NaN              NaN               NaN             NaN   \n",
       "942                 0.0              0.0               NaN             NaN   \n",
       "1330                NaN              NaN               NaN             NaN   \n",
       "2398                NaN              NaN               NaN             NaN   \n",
       "2612                NaN              NaN               NaN             NaN   \n",
       "\n",
       "      kcal_heat_Radishes  kg_heat_Radishes  pixels_Tree nuts   \n",
       "333                  NaN               NaN                 0  \\\n",
       "560                  NaN               NaN                 0   \n",
       "942                  NaN               NaN             20261   \n",
       "1330                 NaN               NaN                 0   \n",
       "2398                 NaN               NaN                 0   \n",
       "2612                 NaN               NaN                 0   \n",
       "\n",
       "      kcal_heat_Tree nuts  kg_heat_Tree nuts  pixels_Other grain   \n",
       "333                   NaN                NaN                   0  \\\n",
       "560                   NaN                NaN                   0   \n",
       "942                   NaN                NaN               18589   \n",
       "1330                  NaN                NaN               10095   \n",
       "2398                  NaN                NaN                 121   \n",
       "2612                  NaN                NaN                   0   \n",
       "\n",
       "      kcal_heat_Other grain  kg_heat_Other grain   \n",
       "333            0.000000e+00             0.000000  \\\n",
       "560            0.000000e+00             0.000000   \n",
       "942                     NaN                  NaN   \n",
       "1330                    NaN                  NaN   \n",
       "2398           1.447449e+07          4282.393289   \n",
       "2612                    NaN                  NaN   \n",
       "\n",
       "      pixels_Broccoli and cauliflower  kcal_heat_Broccoli and cauliflower   \n",
       "333                                 0                                 NaN  \\\n",
       "560                                 0                                 NaN   \n",
       "942                                 0                                 NaN   \n",
       "1330                                0                                 NaN   \n",
       "2398                                0                                 NaN   \n",
       "2612                                0                                 NaN   \n",
       "\n",
       "      kg_heat_Broccoli and cauliflower  pixels_Stone fruits   \n",
       "333                                NaN                    0  \\\n",
       "560                                NaN                    0   \n",
       "942                                NaN                    0   \n",
       "1330                               NaN                    0   \n",
       "2398                               NaN                    0   \n",
       "2612                               NaN                    0   \n",
       "\n",
       "      kcal_heat_Stone fruits  kg_heat_Stone fruits  pixels_Berries   \n",
       "333                      NaN                   NaN               0  \\\n",
       "560                      NaN                   NaN               0   \n",
       "942                      NaN                   NaN               0   \n",
       "1330                     NaN                   NaN               0   \n",
       "2398                     NaN                   NaN               0   \n",
       "2612                     NaN                   NaN               0   \n",
       "\n",
       "      kcal_heat_Berries  kg_heat_Berries  pixels_Legumes  kcal_heat_Legumes   \n",
       "333                 NaN              NaN               0                NaN  \\\n",
       "560                 NaN              NaN               0                NaN   \n",
       "942                 NaN              NaN             380                NaN   \n",
       "1330                NaN              NaN               0                NaN   \n",
       "2398                NaN              NaN               0                NaN   \n",
       "2612                NaN              NaN               0                NaN   \n",
       "\n",
       "      kg_heat_Legumes  pixels_Melons  kcal_heat_Melons  kg_heat_Melons   \n",
       "333               NaN              0      2.487056e+09    7.133160e+06  \\\n",
       "560               NaN              0               NaN             NaN   \n",
       "942               NaN            404      3.214524e+08    2.060593e+06   \n",
       "1330              NaN              0               NaN             NaN   \n",
       "2398              NaN              0               NaN             NaN   \n",
       "2612              NaN              0               NaN             NaN   \n",
       "\n",
       "      pixels_Bananas  kcal_heat_Bananas  kg_heat_Bananas   \n",
       "333                0       7.026923e+10     7.244251e+07  \\\n",
       "560                0       0.000000e+00     0.000000e+00   \n",
       "942                0       0.000000e+00     0.000000e+00   \n",
       "1330               0       0.000000e+00     0.000000e+00   \n",
       "2398               0       0.000000e+00     0.000000e+00   \n",
       "2612               0       0.000000e+00     0.000000e+00   \n",
       "\n",
       "      pixels_Tropical fruits  kcal_heat_Tropical fruits   \n",
       "333                        0               3.326967e+10  \\\n",
       "560                        0               0.000000e+00   \n",
       "942                        0               0.000000e+00   \n",
       "1330                       0               0.000000e+00   \n",
       "2398                       0               0.000000e+00   \n",
       "2612                       0               0.000000e+00   \n",
       "\n",
       "      kg_heat_Tropical fruits  \n",
       "333              6.141517e+07  \n",
       "560              0.000000e+00  \n",
       "942              0.000000e+00  \n",
       "1330             0.000000e+00  \n",
       "2398             0.000000e+00  \n",
       "2612             0.000000e+00  "
      ]
     },
     "execution_count": 114,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "scaled_heat_production[scaled_heat_production['countyfp'] == 201]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "36022808814.16795\n",
      "nan\n",
      "second number should be 36022808814.16795\n"
     ]
    }
   ],
   "source": [
    "# Drought Check\n",
    "print(scaled_drought_production.loc[333, 'kcal_drought_Wheat'])\n",
    "print(scaled_drought_grown_production.loc[333, 'kcal_drought_Wheat'])\n",
    "print (\"first number should be \" + str(scaled_import_production.loc[333, 'kcal_Wheat']))\n",
    "# Heat check\n",
    "print(scaled_heat_production.loc[333, 'kcal_heat_Wheat'])\n",
    "print(scaled_heat_grown_production.loc[333, 'kcal_heat_Wheat'])\n",
    "print (\"first number should be \" + str(scaled_import_production.loc[333, 'kcal_Wheat']))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 164,
   "metadata": {},
   "outputs": [],
   "source": [
    "for c in scaled_heat_production.columns:\n",
    "    if c.startswith('kg') or c.startswith('kcal'):\n",
    "        scaled_production = scaled_production.merge(scaled_heat_production[['geoid', c]], on='geoid', how='left')\n",
    "for c in scaled_drought_production.columns:\n",
    "    if c.startswith('kg') or c.startswith('kcal'):\n",
    "        scaled_production = scaled_production.merge(scaled_drought_production[['geoid', c]], on='geoid', how='left')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 165,
   "metadata": {},
   "outputs": [],
   "source": [
    "for c in scaled_production.columns:\n",
    "    if c.startswith('kg') or c.startswith('kcal') or c.startswith('other') or c.startswith('total') or c.startswith('low') or c.startswith('high'):\n",
    "        scaled_production[c] = scaled_production[c].fillna(0)\n",
    "        scaled_production[c] = scaled_production[c].astype(int)\n",
    "        scaled_production[c] = scaled_production[c].replace(0, np.nan)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 166,
   "metadata": {},
   "outputs": [],
   "source": [
    "for col in scaled_production.columns:\n",
    "    if \"Wheat flour\" in col:\n",
    "        new_col = col.replace(\"Wheat flour\", \"Wheat\")\n",
    "        scaled_production.rename(columns={col: new_col}, inplace=True)\n",
    "    if \"Corn flour\" in col:\n",
    "        new_col = col.replace(\"Corn flour\", \"Corn\")\n",
    "        scaled_production.rename(columns={col: new_col}, inplace=True)\n",
    "    if \"Rice dried\" in col:\n",
    "        new_col = col.replace(\"Rice dried\", \"Rice\")\n",
    "        scaled_production.rename(columns={col: new_col}, inplace=True)\n",
    "    if \"Oat flour\" in col:\n",
    "        new_col = col.replace(\"Oat flour\", \"Oats\")\n",
    "        scaled_production.rename(columns={col: new_col}, inplace=True)\n",
    "    if \"drought\" in col:\n",
    "        new_col = col.replace(\"drought\", \"produced_drought\")\n",
    "        scaled_production.rename(columns={col: new_col}, inplace=True)\n",
    "    if \"heat\" in col:\n",
    "        new_col = col.replace(\"_heat\", \"_produced_heat\")\n",
    "        scaled_production.rename(columns={col: new_col}, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 167,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "36022808814.0\n",
      "885882644040.0\n"
     ]
    }
   ],
   "source": [
    "print(scaled_production[\"kcal_produced_heat_Wheat\"].max())\n",
    "print(scaled_production[\"kcal_produced_Wheat\"].max())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 162,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['geoid',\n",
       " 'geography',\n",
       " 'geographic_area_name',\n",
       " 'total_population',\n",
       " 'agesex_male_total',\n",
       " 'agesex_female_total',\n",
       " 'agesex_male_kids',\n",
       " 'agesex_male_adults',\n",
       " 'agesex_female_kids',\n",
       " 'agesex_female_adults',\n",
       " 'agesex_kid_total',\n",
       " 'agesex_adult_total',\n",
       " 'income_total_population_determined',\n",
       " 'income_low_income',\n",
       " 'income_high_income',\n",
       " 'income_unknown_income',\n",
       " 'race_total_population_determined',\n",
       " 'race_black-african_american',\n",
       " 'race_hispanic-latino',\n",
       " 'race_white',\n",
       " 'race_other_race',\n",
       " 'race_unknown_race',\n",
       " 'statefp',\n",
       " 'countyfp',\n",
       " 'countyns',\n",
       " 'name',\n",
       " 'namelsad',\n",
       " 'stusps',\n",
       " 'state_name',\n",
       " 'lsad',\n",
       " 'aland',\n",
       " 'awater',\n",
       " 'low_kg_consumed_Apples',\n",
       " 'high_kg_consumed_Apples',\n",
       " 'other_kg_consumed_Apples',\n",
       " 'total_kg_consumed_Apples',\n",
       " 'low_kg_consumed_Bananas',\n",
       " 'high_kg_consumed_Bananas',\n",
       " 'other_kg_consumed_Bananas',\n",
       " 'total_kg_consumed_Bananas',\n",
       " 'low_kg_consumed_Berries',\n",
       " 'high_kg_consumed_Berries',\n",
       " 'other_kg_consumed_Berries',\n",
       " 'total_kg_consumed_Berries',\n",
       " 'low_kg_consumed_Grapes',\n",
       " 'high_kg_consumed_Grapes',\n",
       " 'other_kg_consumed_Grapes',\n",
       " 'total_kg_consumed_Grapes',\n",
       " 'low_kg_consumed_Melons',\n",
       " 'high_kg_consumed_Melons',\n",
       " 'other_kg_consumed_Melons',\n",
       " 'total_kg_consumed_Melons',\n",
       " 'low_kg_consumed_Oranges',\n",
       " 'high_kg_consumed_Oranges',\n",
       " 'other_kg_consumed_Oranges',\n",
       " 'total_kg_consumed_Oranges',\n",
       " 'low_kg_consumed_Other citrus fruits',\n",
       " 'high_kg_consumed_Other citrus fruits',\n",
       " 'other_kg_consumed_Other citrus fruits',\n",
       " 'total_kg_consumed_Other citrus fruits',\n",
       " 'low_kg_consumed_Stone fruits',\n",
       " 'high_kg_consumed_Stone fruits',\n",
       " 'other_kg_consumed_Stone fruits',\n",
       " 'total_kg_consumed_Stone fruits',\n",
       " 'low_kg_consumed_Tropical fruits',\n",
       " 'high_kg_consumed_Tropical fruits',\n",
       " 'other_kg_consumed_Tropical fruits',\n",
       " 'total_kg_consumed_Tropical fruits',\n",
       " 'low_kg_consumed_Broccoli and cauliflower',\n",
       " 'high_kg_consumed_Broccoli and cauliflower',\n",
       " 'other_kg_consumed_Broccoli and cauliflower',\n",
       " 'total_kg_consumed_Broccoli and cauliflower',\n",
       " 'low_kg_consumed_Carrots',\n",
       " 'high_kg_consumed_Carrots',\n",
       " 'other_kg_consumed_Carrots',\n",
       " 'total_kg_consumed_Carrots',\n",
       " 'low_kg_consumed_Celery',\n",
       " 'high_kg_consumed_Celery',\n",
       " 'other_kg_consumed_Celery',\n",
       " 'total_kg_consumed_Celery',\n",
       " 'low_kg_consumed_Cucumbers',\n",
       " 'high_kg_consumed_Cucumbers',\n",
       " 'other_kg_consumed_Cucumbers',\n",
       " 'total_kg_consumed_Cucumbers',\n",
       " 'low_kg_consumed_Green peas',\n",
       " 'high_kg_consumed_Green peas',\n",
       " 'other_kg_consumed_Green peas',\n",
       " 'total_kg_consumed_Green peas',\n",
       " 'low_kg_consumed_Lettuce',\n",
       " 'high_kg_consumed_Lettuce',\n",
       " 'other_kg_consumed_Lettuce',\n",
       " 'total_kg_consumed_Lettuce',\n",
       " 'low_kg_consumed_Onions',\n",
       " 'high_kg_consumed_Onions',\n",
       " 'other_kg_consumed_Onions',\n",
       " 'total_kg_consumed_Onions',\n",
       " 'low_kg_consumed_Peppers',\n",
       " 'high_kg_consumed_Peppers',\n",
       " 'other_kg_consumed_Peppers',\n",
       " 'total_kg_consumed_Peppers',\n",
       " 'low_kg_consumed_Tomatoes',\n",
       " 'high_kg_consumed_Tomatoes',\n",
       " 'other_kg_consumed_Tomatoes',\n",
       " 'total_kg_consumed_Tomatoes',\n",
       " 'low_kg_consumed_Sweet corn',\n",
       " 'high_kg_consumed_Sweet corn',\n",
       " 'other_kg_consumed_Sweet corn',\n",
       " 'total_kg_consumed_Sweet corn',\n",
       " 'low_kg_consumed_Potatoes',\n",
       " 'high_kg_consumed_Potatoes',\n",
       " 'other_kg_consumed_Potatoes',\n",
       " 'total_kg_consumed_Potatoes',\n",
       " 'low_kg_consumed_Legumes',\n",
       " 'high_kg_consumed_Legumes',\n",
       " 'other_kg_consumed_Legumes',\n",
       " 'total_kg_consumed_Legumes',\n",
       " 'low_kg_consumed_Corn',\n",
       " 'high_kg_consumed_Corn',\n",
       " 'other_kg_consumed_Corn',\n",
       " 'total_kg_consumed_Corn',\n",
       " 'low_kg_consumed_Oats',\n",
       " 'high_kg_consumed_Oats',\n",
       " 'other_kg_consumed_Oats',\n",
       " 'total_kg_consumed_Oats',\n",
       " 'low_kg_consumed_Rice',\n",
       " 'high_kg_consumed_Rice',\n",
       " 'other_kg_consumed_Rice',\n",
       " 'total_kg_consumed_Rice',\n",
       " 'low_kg_consumed_Wheat',\n",
       " 'high_kg_consumed_Wheat',\n",
       " 'other_kg_consumed_Wheat',\n",
       " 'total_kg_consumed_Wheat',\n",
       " 'low_kg_consumed_Peanuts',\n",
       " 'high_kg_consumed_Peanuts',\n",
       " 'other_kg_consumed_Peanuts',\n",
       " 'total_kg_consumed_Peanuts',\n",
       " 'low_kg_consumed_Tree nuts',\n",
       " 'high_kg_consumed_Tree nuts',\n",
       " 'other_kg_consumed_Tree nuts',\n",
       " 'total_kg_consumed_Tree nuts',\n",
       " 'low_kg_consumed_Other grain',\n",
       " 'high_kg_consumed_Other grain',\n",
       " 'other_kg_consumed_Other grain',\n",
       " 'total_kg_consumed_Other grain',\n",
       " 'low_kg_consumed_Radishes',\n",
       " 'high_kg_consumed_Radishes',\n",
       " 'other_kg_consumed_Radishes',\n",
       " 'total_kg_consumed_Radishes',\n",
       " 'low_kg_consumed_Cabbage',\n",
       " 'high_kg_consumed_Cabbage',\n",
       " 'other_kg_consumed_Cabbage',\n",
       " 'total_kg_consumed_Cabbage',\n",
       " 'low_kcal_consumed_Corn',\n",
       " 'high_kcal_consumed_Corn',\n",
       " 'other_kcal_consumed_Corn',\n",
       " 'total_kcal_consumed_Corn',\n",
       " 'low_kcal_consumed_Rice',\n",
       " 'high_kcal_consumed_Rice',\n",
       " 'other_kcal_consumed_Rice',\n",
       " 'total_kcal_consumed_Rice',\n",
       " 'low_kcal_consumed_Peanuts',\n",
       " 'high_kcal_consumed_Peanuts',\n",
       " 'other_kcal_consumed_Peanuts',\n",
       " 'total_kcal_consumed_Peanuts',\n",
       " 'low_kcal_consumed_Sweet corn',\n",
       " 'high_kcal_consumed_Sweet corn',\n",
       " 'other_kcal_consumed_Sweet corn',\n",
       " 'total_kcal_consumed_Sweet corn',\n",
       " 'low_kcal_consumed_Wheat',\n",
       " 'high_kcal_consumed_Wheat',\n",
       " 'other_kcal_consumed_Wheat',\n",
       " 'total_kcal_consumed_Wheat',\n",
       " 'low_kcal_consumed_Oats',\n",
       " 'high_kcal_consumed_Oats',\n",
       " 'other_kcal_consumed_Oats',\n",
       " 'total_kcal_consumed_Oats',\n",
       " 'low_kcal_consumed_Potatoes',\n",
       " 'high_kcal_consumed_Potatoes',\n",
       " 'other_kcal_consumed_Potatoes',\n",
       " 'total_kcal_consumed_Potatoes',\n",
       " 'low_kcal_consumed_Onions',\n",
       " 'high_kcal_consumed_Onions',\n",
       " 'other_kcal_consumed_Onions',\n",
       " 'total_kcal_consumed_Onions',\n",
       " 'low_kcal_consumed_Cucumbers',\n",
       " 'high_kcal_consumed_Cucumbers',\n",
       " 'other_kcal_consumed_Cucumbers',\n",
       " 'total_kcal_consumed_Cucumbers',\n",
       " 'low_kcal_consumed_Green peas',\n",
       " 'high_kcal_consumed_Green peas',\n",
       " 'other_kcal_consumed_Green peas',\n",
       " 'total_kcal_consumed_Green peas',\n",
       " 'low_kcal_consumed_Tomatoes',\n",
       " 'high_kcal_consumed_Tomatoes',\n",
       " 'other_kcal_consumed_Tomatoes',\n",
       " 'total_kcal_consumed_Tomatoes',\n",
       " 'low_kcal_consumed_Apples',\n",
       " 'high_kcal_consumed_Apples',\n",
       " 'other_kcal_consumed_Apples',\n",
       " 'total_kcal_consumed_Apples',\n",
       " 'low_kcal_consumed_Grapes',\n",
       " 'high_kcal_consumed_Grapes',\n",
       " 'other_kcal_consumed_Grapes',\n",
       " 'total_kcal_consumed_Grapes',\n",
       " 'low_kcal_consumed_Other citrus fruits',\n",
       " 'high_kcal_consumed_Other citrus fruits',\n",
       " 'other_kcal_consumed_Other citrus fruits',\n",
       " 'total_kcal_consumed_Other citrus fruits',\n",
       " 'low_kcal_consumed_Carrots',\n",
       " 'high_kcal_consumed_Carrots',\n",
       " 'other_kcal_consumed_Carrots',\n",
       " 'total_kcal_consumed_Carrots',\n",
       " 'low_kcal_consumed_Oranges',\n",
       " 'high_kcal_consumed_Oranges',\n",
       " 'other_kcal_consumed_Oranges',\n",
       " 'total_kcal_consumed_Oranges',\n",
       " 'low_kcal_consumed_Peppers',\n",
       " 'high_kcal_consumed_Peppers',\n",
       " 'other_kcal_consumed_Peppers',\n",
       " 'total_kcal_consumed_Peppers',\n",
       " 'low_kcal_consumed_Lettuce',\n",
       " 'high_kcal_consumed_Lettuce',\n",
       " 'other_kcal_consumed_Lettuce',\n",
       " 'total_kcal_consumed_Lettuce',\n",
       " 'low_kcal_consumed_Cabbage',\n",
       " 'high_kcal_consumed_Cabbage',\n",
       " 'other_kcal_consumed_Cabbage',\n",
       " 'total_kcal_consumed_Cabbage',\n",
       " 'low_kcal_consumed_Celery',\n",
       " 'high_kcal_consumed_Celery',\n",
       " 'other_kcal_consumed_Celery',\n",
       " 'total_kcal_consumed_Celery',\n",
       " 'low_kcal_consumed_Radishes',\n",
       " 'high_kcal_consumed_Radishes',\n",
       " 'other_kcal_consumed_Radishes',\n",
       " 'total_kcal_consumed_Radishes',\n",
       " 'low_kcal_consumed_Tree nuts',\n",
       " 'high_kcal_consumed_Tree nuts',\n",
       " 'other_kcal_consumed_Tree nuts',\n",
       " 'total_kcal_consumed_Tree nuts',\n",
       " 'low_kcal_consumed_Other grain',\n",
       " 'high_kcal_consumed_Other grain',\n",
       " 'other_kcal_consumed_Other grain',\n",
       " 'total_kcal_consumed_Other grain',\n",
       " 'low_kcal_consumed_Broccoli and cauliflower',\n",
       " 'high_kcal_consumed_Broccoli and cauliflower',\n",
       " 'other_kcal_consumed_Broccoli and cauliflower',\n",
       " 'total_kcal_consumed_Broccoli and cauliflower',\n",
       " 'low_kcal_consumed_Stone fruits',\n",
       " 'high_kcal_consumed_Stone fruits',\n",
       " 'other_kcal_consumed_Stone fruits',\n",
       " 'total_kcal_consumed_Stone fruits',\n",
       " 'low_kcal_consumed_Berries',\n",
       " 'high_kcal_consumed_Berries',\n",
       " 'other_kcal_consumed_Berries',\n",
       " 'total_kcal_consumed_Berries',\n",
       " 'low_kcal_consumed_Legumes',\n",
       " 'high_kcal_consumed_Legumes',\n",
       " 'other_kcal_consumed_Legumes',\n",
       " 'total_kcal_consumed_Legumes',\n",
       " 'low_kcal_consumed_Melons',\n",
       " 'high_kcal_consumed_Melons',\n",
       " 'other_kcal_consumed_Melons',\n",
       " 'total_kcal_consumed_Melons',\n",
       " 'low_kcal_consumed_Bananas',\n",
       " 'high_kcal_consumed_Bananas',\n",
       " 'other_kcal_consumed_Bananas',\n",
       " 'total_kcal_consumed_Bananas',\n",
       " 'low_kcal_consumed_Tropical fruits',\n",
       " 'high_kcal_consumed_Tropical fruits',\n",
       " 'other_kcal_consumed_Tropical fruits',\n",
       " 'total_kcal_consumed_Tropical fruits',\n",
       " 'kcal_produced_Corn',\n",
       " 'kg_produced_Corn',\n",
       " 'kcal_produced_Rice',\n",
       " 'kg_produced_Rice',\n",
       " 'kcal_produced_Peanuts',\n",
       " 'kg_produced_Peanuts',\n",
       " 'kcal_produced_Sweet corn',\n",
       " 'kg_produced_Sweet corn',\n",
       " 'kcal_produced_Wheat',\n",
       " 'kg_produced_Wheat',\n",
       " 'kcal_produced_Oats',\n",
       " 'kg_produced_Oats',\n",
       " 'kcal_produced_Potatoes',\n",
       " 'kg_produced_Potatoes',\n",
       " 'kcal_produced_Onions',\n",
       " 'kg_produced_Onions',\n",
       " 'kcal_produced_Cucumbers',\n",
       " 'kg_produced_Cucumbers',\n",
       " 'kcal_produced_Green peas',\n",
       " 'kg_produced_Green peas',\n",
       " 'kcal_produced_Tomatoes',\n",
       " 'kg_produced_Tomatoes',\n",
       " 'kcal_produced_Apples',\n",
       " 'kg_produced_Apples',\n",
       " 'kcal_produced_Grapes',\n",
       " 'kg_produced_Grapes',\n",
       " 'kcal_produced_Other citrus fruits',\n",
       " 'kg_produced_Other citrus fruits',\n",
       " 'kcal_produced_Carrots',\n",
       " 'kg_produced_Carrots',\n",
       " 'kcal_produced_Oranges',\n",
       " 'kg_produced_Oranges',\n",
       " 'kcal_produced_Peppers',\n",
       " 'kg_produced_Peppers',\n",
       " 'kcal_produced_Lettuce',\n",
       " 'kg_produced_Lettuce',\n",
       " 'kcal_produced_Cabbage',\n",
       " 'kg_produced_Cabbage',\n",
       " 'kcal_produced_Celery',\n",
       " 'kg_produced_Celery',\n",
       " 'kcal_produced_Radishes',\n",
       " 'kg_produced_Radishes',\n",
       " 'kcal_produced_Tree nuts',\n",
       " 'kg_produced_Tree nuts',\n",
       " 'kcal_produced_Other grain',\n",
       " 'kg_produced_Other grain',\n",
       " 'kcal_produced_Broccoli and cauliflower',\n",
       " 'kg_produced_Broccoli and cauliflower',\n",
       " 'kcal_produced_Stone fruits',\n",
       " 'kg_produced_Stone fruits',\n",
       " 'kcal_produced_Berries',\n",
       " 'kg_produced_Berries',\n",
       " 'kcal_produced_Legumes',\n",
       " 'kg_produced_Legumes',\n",
       " 'kcal_produced_Melons',\n",
       " 'kg_produced_Melons',\n",
       " 'kcal_produced_Bananas',\n",
       " 'kg_produced_Bananas',\n",
       " 'kcal_produced_Tropical fruits',\n",
       " 'kg_produced_Tropical fruits',\n",
       " 'geometry',\n",
       " 'kcal_produced_heat_Corn',\n",
       " 'kg_produced_heat_Corn',\n",
       " 'kcal_produced_heat_Rice',\n",
       " 'kg_produced_heat_Rice',\n",
       " 'kcal_produced_heat_Peanuts',\n",
       " 'kg_produced_heat_Peanuts',\n",
       " 'kcal_produced_heat_Sweet corn',\n",
       " 'kg_produced_heat_Sweet corn',\n",
       " 'kcal_produced_heat_Wproduced_heat',\n",
       " 'kg_produced_heat_Wproduced_heat',\n",
       " 'kcal_produced_heat_Oats',\n",
       " 'kg_produced_heat_Oats',\n",
       " 'kcal_produced_heat_Potatoes',\n",
       " 'kg_produced_heat_Potatoes',\n",
       " 'kcal_produced_heat_Onions',\n",
       " 'kg_produced_heat_Onions',\n",
       " 'kcal_produced_heat_Cucumbers',\n",
       " 'kg_produced_heat_Cucumbers',\n",
       " 'kcal_produced_heat_Green peas',\n",
       " 'kg_produced_heat_Green peas',\n",
       " 'kcal_produced_heat_Tomatoes',\n",
       " 'kg_produced_heat_Tomatoes',\n",
       " 'kcal_produced_heat_Apples',\n",
       " 'kg_produced_heat_Apples',\n",
       " 'kcal_produced_heat_Grapes',\n",
       " 'kg_produced_heat_Grapes',\n",
       " 'kcal_produced_heat_Other citrus fruits',\n",
       " 'kg_produced_heat_Other citrus fruits',\n",
       " 'kcal_produced_heat_Carrots',\n",
       " 'kg_produced_heat_Carrots',\n",
       " 'kcal_produced_heat_Oranges',\n",
       " 'kg_produced_heat_Oranges',\n",
       " 'kcal_produced_heat_Peppers',\n",
       " 'kg_produced_heat_Peppers',\n",
       " 'kcal_produced_heat_Lettuce',\n",
       " 'kg_produced_heat_Lettuce',\n",
       " 'kcal_produced_heat_Cabbage',\n",
       " 'kg_produced_heat_Cabbage',\n",
       " 'kcal_produced_heat_Celery',\n",
       " 'kg_produced_heat_Celery',\n",
       " 'kcal_produced_heat_Radishes',\n",
       " 'kg_produced_heat_Radishes',\n",
       " 'kcal_produced_heat_Tree nuts',\n",
       " 'kg_produced_heat_Tree nuts',\n",
       " 'kcal_produced_heat_Other grain',\n",
       " 'kg_produced_heat_Other grain',\n",
       " 'kcal_produced_heat_Broccoli and cauliflower',\n",
       " 'kg_produced_heat_Broccoli and cauliflower',\n",
       " 'kcal_produced_heat_Stone fruits',\n",
       " 'kg_produced_heat_Stone fruits',\n",
       " 'kcal_produced_heat_Berries',\n",
       " 'kg_produced_heat_Berries',\n",
       " 'kcal_produced_heat_Legumes',\n",
       " 'kg_produced_heat_Legumes',\n",
       " 'kcal_produced_heat_Melons',\n",
       " 'kg_produced_heat_Melons',\n",
       " 'kcal_produced_heat_Bananas',\n",
       " 'kg_produced_heat_Bananas',\n",
       " 'kcal_produced_heat_Tropical fruits',\n",
       " 'kg_produced_heat_Tropical fruits',\n",
       " 'kcal_produced_drought_Corn',\n",
       " 'kg_produced_drought_Corn',\n",
       " 'kcal_produced_drought_Rice',\n",
       " 'kg_produced_drought_Rice',\n",
       " 'kcal_produced_drought_Peanuts',\n",
       " 'kg_produced_drought_Peanuts',\n",
       " 'kcal_produced_drought_Sweet corn',\n",
       " 'kg_produced_drought_Sweet corn',\n",
       " 'kcal_produced_drought_Wheat',\n",
       " 'kg_produced_drought_Wheat',\n",
       " 'kcal_produced_drought_Oats',\n",
       " 'kg_produced_drought_Oats',\n",
       " 'kcal_produced_drought_Potatoes',\n",
       " 'kg_produced_drought_Potatoes',\n",
       " 'kcal_produced_drought_Onions',\n",
       " 'kg_produced_drought_Onions',\n",
       " 'kcal_produced_drought_Cucumbers',\n",
       " 'kg_produced_drought_Cucumbers',\n",
       " 'kcal_produced_drought_Green peas',\n",
       " 'kg_produced_drought_Green peas',\n",
       " 'kcal_produced_drought_Tomatoes',\n",
       " 'kg_produced_drought_Tomatoes',\n",
       " 'kcal_produced_drought_Apples',\n",
       " 'kg_produced_drought_Apples',\n",
       " 'kcal_produced_drought_Grapes',\n",
       " 'kg_produced_drought_Grapes',\n",
       " 'kcal_produced_drought_Other citrus fruits',\n",
       " 'kg_produced_drought_Other citrus fruits',\n",
       " 'kcal_produced_drought_Carrots',\n",
       " 'kg_produced_drought_Carrots',\n",
       " 'kcal_produced_drought_Oranges',\n",
       " 'kg_produced_drought_Oranges',\n",
       " 'kcal_produced_drought_Peppers',\n",
       " 'kg_produced_drought_Peppers',\n",
       " 'kcal_produced_drought_Lettuce',\n",
       " 'kg_produced_drought_Lettuce',\n",
       " 'kcal_produced_drought_Cabbage',\n",
       " 'kg_produced_drought_Cabbage',\n",
       " 'kcal_produced_drought_Celery',\n",
       " 'kg_produced_drought_Celery',\n",
       " 'kcal_produced_drought_Radishes',\n",
       " 'kg_produced_drought_Radishes',\n",
       " 'kcal_produced_drought_Tree nuts',\n",
       " 'kg_produced_drought_Tree nuts',\n",
       " 'kcal_produced_drought_Other grain',\n",
       " 'kg_produced_drought_Other grain',\n",
       " 'kcal_produced_drought_Broccoli and cauliflower',\n",
       " 'kg_produced_drought_Broccoli and cauliflower',\n",
       " 'kcal_produced_drought_Stone fruits',\n",
       " 'kg_produced_drought_Stone fruits',\n",
       " 'kcal_produced_drought_Berries',\n",
       " 'kg_produced_drought_Berries',\n",
       " 'kcal_produced_drought_Legumes',\n",
       " 'kg_produced_drought_Legumes',\n",
       " 'kcal_produced_drought_Melons',\n",
       " 'kg_produced_drought_Melons',\n",
       " 'kcal_produced_drought_Bananas',\n",
       " 'kg_produced_drought_Bananas',\n",
       " 'kcal_produced_drought_Tropical fruits',\n",
       " 'kg_produced_drought_Tropical fruits']"
      ]
     },
     "execution_count": 162,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "list(scaled_production.columns)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 168,
   "metadata": {},
   "outputs": [
    {
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       "                    preferCanvas: false,\n",
       "                }\n",
       "            );\n",
       "            L.control.scale().addTo(map_0638cb799092b75988665fcd19171cce);\n",
       "\n",
       "            \n",
       "\n",
       "        \n",
       "    \n",
       "            var tile_layer_96d220a21eab45514427caf3386d3c34 = L.tileLayer(\n",
       "                &quot;https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png&quot;,\n",
       "                {&quot;attribution&quot;: &quot;Data by \\u0026copy; \\u003ca target=\\&quot;_blank\\&quot; href=\\&quot;http://openstreetmap.org\\&quot;\\u003eOpenStreetMap\\u003c/a\\u003e, under \\u003ca target=\\&quot;_blank\\&quot; href=\\&quot;http://www.openstreetmap.org/copyright\\&quot;\\u003eODbL\\u003c/a\\u003e.&quot;, &quot;detectRetina&quot;: false, &quot;maxNativeZoom&quot;: 18, &quot;maxZoom&quot;: 18, &quot;minZoom&quot;: 0, &quot;noWrap&quot;: false, &quot;opacity&quot;: 1, &quot;subdomains&quot;: &quot;abc&quot;, &quot;tms&quot;: false}\n",
       "            ).addTo(map_0638cb799092b75988665fcd19171cce);\n",
       "        \n",
       "    \n",
       "            map_0638cb799092b75988665fcd19171cce.fitBounds(\n",
       "                [[30.22332694365182, -88.02857953326372], [34.52625362182989, -85.04931091714204]],\n",
       "                {}\n",
       "            );\n",
       "        \n",
       "    \n",
       "        function geo_json_e37c5e758b93bf56c85fea96982fac09_styler(feature) {\n",
       "            switch(feature.id) {\n",
       "                default:\n",
       "                    return {&quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};\n",
       "            }\n",
       "        }\n",
       "        function geo_json_e37c5e758b93bf56c85fea96982fac09_highlighter(feature) {\n",
       "            switch(feature.id) {\n",
       "                default:\n",
       "                    return {&quot;fillOpacity&quot;: 0.75};\n",
       "            }\n",
       "        }\n",
       "        function geo_json_e37c5e758b93bf56c85fea96982fac09_pointToLayer(feature, latlng) {\n",
       "            var opts = {&quot;bubblingMouseEvents&quot;: true, &quot;color&quot;: &quot;#3388ff&quot;, &quot;dashArray&quot;: null, &quot;dashOffset&quot;: null, &quot;fill&quot;: true, &quot;fillColor&quot;: &quot;#3388ff&quot;, &quot;fillOpacity&quot;: 0.2, &quot;fillRule&quot;: &quot;evenodd&quot;, &quot;lineCap&quot;: &quot;round&quot;, &quot;lineJoin&quot;: &quot;round&quot;, &quot;opacity&quot;: 1.0, &quot;radius&quot;: 2, &quot;stroke&quot;: true, &quot;weight&quot;: 3};\n",
       "            \n",
       "            let style = geo_json_e37c5e758b93bf56c85fea96982fac09_styler(feature)\n",
       "            Object.assign(opts, style)\n",
       "            \n",
       "            return new L.CircleMarker(latlng, opts)\n",
       "        }\n",
       "\n",
       "        function geo_json_e37c5e758b93bf56c85fea96982fac09_onEachFeature(feature, layer) {\n",
       "            layer.on({\n",
       "                mouseout: function(e) {\n",
       "                    if(typeof e.target.setStyle === &quot;function&quot;){\n",
       "                        geo_json_e37c5e758b93bf56c85fea96982fac09.resetStyle(e.target);\n",
       "                    }\n",
       "                },\n",
       "                mouseover: function(e) {\n",
       "                    if(typeof e.target.setStyle === &quot;function&quot;){\n",
       "                        const highlightStyle = geo_json_e37c5e758b93bf56c85fea96982fac09_highlighter(e.target.feature)\n",
       "                        e.target.setStyle(highlightStyle);\n",
       "                    }\n",
       "                },\n",
       "            });\n",
       "        };\n",
       "        var geo_json_e37c5e758b93bf56c85fea96982fac09 = L.geoJson(null, {\n",
       "                onEachFeature: geo_json_e37c5e758b93bf56c85fea96982fac09_onEachFeature,\n",
       "            \n",
       "                style: geo_json_e37c5e758b93bf56c85fea96982fac09_styler,\n",
       "                pointToLayer: geo_json_e37c5e758b93bf56c85fea96982fac09_pointToLayer\n",
       "        });\n",
       "\n",
       "        function geo_json_e37c5e758b93bf56c85fea96982fac09_add (data) {\n",
       "            geo_json_e37c5e758b93bf56c85fea96982fac09\n",
       "                .addData(data)\n",
       "                .addTo(map_0638cb799092b75988665fcd19171cce);\n",
       "        }\n",
       "            geo_json_e37c5e758b93bf56c85fea96982fac09_add({&quot;bbox&quot;: [-88.02857953326372, 30.22332694365182, -85.04931091714204, 34.52625362182989], &quot;features&quot;: [{&quot;bbox&quot;: [-86.9211948013865, 32.307571186693444, -86.41117000023425, 32.70821053922089], &quot;geometry&quot;: {&quot;coordinates&quot;: [[[-86.9211948013865, 32.6575394962821], [-86.9203508008617, 32.65856049749033], [-86.92040980133078, 32.66007450006588], [-86.91759379980225, 32.6641665051834], [-86.91460879705141, 32.66435250363912], [-86.87498675919215, 32.66252247623895], [-86.8739007581955, 32.66259647568336], [-86.816572703006, 32.660114437138176], [-86.77153066068553, 32.66071441051108], [-86.72387861483135, 32.661605400997374], [-86.71338860454169, 32.66172940216277], [-86.71343860815412, 32.66447340464134], [-86.7142176617907, 32.70569144204273], [-86.65369365366541, 32.706184434921134], [-86.62618865026056, 32.70637843157107], [-86.6249786501258, 32.70639043142403], 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&quot;total_kg_consumed_Melons&quot;: 46308, &quot;total_kg_consumed_Oats&quot;: 28587, &quot;total_kg_consumed_Onions&quot;: 96098, &quot;total_kg_consumed_Oranges&quot;: 218851, &quot;total_kg_consumed_Other citrus fruits&quot;: 69102, &quot;total_kg_consumed_Other grain&quot;: 137120, &quot;total_kg_consumed_Peanuts&quot;: 68261, &quot;total_kg_consumed_Peppers&quot;: 92679, &quot;total_kg_consumed_Potatoes&quot;: 488335, &quot;total_kg_consumed_Radishes&quot;: 23280, &quot;total_kg_consumed_Rice&quot;: 122121, &quot;total_kg_consumed_Stone fruits&quot;: 54282, &quot;total_kg_consumed_Sweet corn&quot;: 48386, &quot;total_kg_consumed_Tomatoes&quot;: 292963, &quot;total_kg_consumed_Tree nuts&quot;: 38699, &quot;total_kg_consumed_Tropical fruits&quot;: 62575, &quot;total_kg_consumed_Wheat&quot;: 978785, &quot;total_population&quot;: 22412}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-86.9633585505257, 33.76518853651421, -86.30351519172457, 34.260166925202256], 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&quot;total_kg_consumed_Celery&quot;: 32004, &quot;total_kg_consumed_Corn&quot;: 231530, &quot;total_kg_consumed_Cucumbers&quot;: 36430, &quot;total_kg_consumed_Grapes&quot;: 118582, &quot;total_kg_consumed_Green peas&quot;: 18200, &quot;total_kg_consumed_Legumes&quot;: 121704, &quot;total_kg_consumed_Lettuce&quot;: 224040, &quot;total_kg_consumed_Melons&quot;: 71934, &quot;total_kg_consumed_Oats&quot;: 44404, &quot;total_kg_consumed_Onions&quot;: 149313, &quot;total_kg_consumed_Oranges&quot;: 340171, &quot;total_kg_consumed_Other citrus fruits&quot;: 107372, &quot;total_kg_consumed_Other grain&quot;: 213058, &quot;total_kg_consumed_Peanuts&quot;: 106021, &quot;total_kg_consumed_Peppers&quot;: 144001, &quot;total_kg_consumed_Potatoes&quot;: 758876, &quot;total_kg_consumed_Radishes&quot;: 36169, &quot;total_kg_consumed_Rice&quot;: 189815, &quot;total_kg_consumed_Stone fruits&quot;: 84326, &quot;total_kg_consumed_Sweet corn&quot;: 75197, &quot;total_kg_consumed_Tomatoes&quot;: 455228, 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&quot;kg_produced_Berries&quot;: null, &quot;kg_produced_Broccoli and cauliflower&quot;: null, &quot;kg_produced_Cabbage&quot;: null, &quot;kg_produced_Carrots&quot;: null, &quot;kg_produced_Celery&quot;: null, &quot;kg_produced_Corn&quot;: 92432.0, &quot;kg_produced_Cucumbers&quot;: null, &quot;kg_produced_Grapes&quot;: null, &quot;kg_produced_Green peas&quot;: null, &quot;kg_produced_Legumes&quot;: null, &quot;kg_produced_Lettuce&quot;: null, &quot;kg_produced_Melons&quot;: null, &quot;kg_produced_Oats&quot;: null, &quot;kg_produced_Onions&quot;: null, &quot;kg_produced_Oranges&quot;: null, &quot;kg_produced_Other citrus fruits&quot;: null, &quot;kg_produced_Other grain&quot;: null, &quot;kg_produced_Peanuts&quot;: 55755.0, &quot;kg_produced_Peppers&quot;: null, &quot;kg_produced_Potatoes&quot;: null, &quot;kg_produced_Radishes&quot;: null, &quot;kg_produced_Rice&quot;: null, &quot;kg_produced_Stone fruits&quot;: null, &quot;kg_produced_Sweet corn&quot;: null, &quot;kg_produced_Tomatoes&quot;: null, &quot;kg_produced_Tree nuts&quot;: null, &quot;kg_produced_Tropical fruits&quot;: null, &quot;kg_produced_Wheat&quot;: 357630.0, &quot;kg_produced_drought_Apples&quot;: null, &quot;kg_produced_drought_Bananas&quot;: null, &quot;kg_produced_drought_Berries&quot;: null, &quot;kg_produced_drought_Broccoli and cauliflower&quot;: null, &quot;kg_produced_drought_Cabbage&quot;: null, &quot;kg_produced_drought_Carrots&quot;: null, &quot;kg_produced_drought_Celery&quot;: null, &quot;kg_produced_drought_Corn&quot;: null, &quot;kg_produced_drought_Cucumbers&quot;: null, &quot;kg_produced_drought_Grapes&quot;: null, &quot;kg_produced_drought_Green peas&quot;: null, &quot;kg_produced_drought_Legumes&quot;: null, &quot;kg_produced_drought_Lettuce&quot;: null, &quot;kg_produced_drought_Melons&quot;: null, &quot;kg_produced_drought_Oats&quot;: null, &quot;kg_produced_drought_Onions&quot;: null, &quot;kg_produced_drought_Oranges&quot;: null, &quot;kg_produced_drought_Other citrus fruits&quot;: null, &quot;kg_produced_drought_Other grain&quot;: null, &quot;kg_produced_drought_Peanuts&quot;: 53949.0, &quot;kg_produced_drought_Peppers&quot;: null, &quot;kg_produced_drought_Potatoes&quot;: null, &quot;kg_produced_drought_Radishes&quot;: null, &quot;kg_produced_drought_Rice&quot;: null, &quot;kg_produced_drought_Stone fruits&quot;: null, &quot;kg_produced_drought_Sweet corn&quot;: null, &quot;kg_produced_drought_Tomatoes&quot;: null, &quot;kg_produced_drought_Tree nuts&quot;: null, &quot;kg_produced_drought_Tropical fruits&quot;: null, &quot;kg_produced_drought_Wheat&quot;: null, &quot;kg_produced_heat_Apples&quot;: null, &quot;kg_produced_heat_Bananas&quot;: null, &quot;kg_produced_heat_Berries&quot;: null, &quot;kg_produced_heat_Broccoli and cauliflower&quot;: null, &quot;kg_produced_heat_Cabbage&quot;: null, &quot;kg_produced_heat_Carrots&quot;: null, &quot;kg_produced_heat_Celery&quot;: null, &quot;kg_produced_heat_Corn&quot;: null, &quot;kg_produced_heat_Cucumbers&quot;: null, &quot;kg_produced_heat_Grapes&quot;: null, &quot;kg_produced_heat_Green peas&quot;: null, &quot;kg_produced_heat_Legumes&quot;: null, &quot;kg_produced_heat_Lettuce&quot;: null, &quot;kg_produced_heat_Melons&quot;: null, &quot;kg_produced_heat_Oats&quot;: null, &quot;kg_produced_heat_Onions&quot;: null, &quot;kg_produced_heat_Oranges&quot;: null, &quot;kg_produced_heat_Other citrus fruits&quot;: null, &quot;kg_produced_heat_Other grain&quot;: null, &quot;kg_produced_heat_Peanuts&quot;: 44314.0, &quot;kg_produced_heat_Peppers&quot;: null, &quot;kg_produced_heat_Potatoes&quot;: null, &quot;kg_produced_heat_Radishes&quot;: null, &quot;kg_produced_heat_Rice&quot;: null, &quot;kg_produced_heat_Stone fruits&quot;: null, &quot;kg_produced_heat_Sweet corn&quot;: null, &quot;kg_produced_heat_Tomatoes&quot;: null, &quot;kg_produced_heat_Tree nuts&quot;: null, &quot;kg_produced_heat_Tropical fruits&quot;: null, &quot;kg_produced_heat_Wheat&quot;: null, &quot;low_kcal_consumed_Apples&quot;: 55838005, &quot;low_kcal_consumed_Bananas&quot;: 43252196, &quot;low_kcal_consumed_Berries&quot;: 16666634, &quot;low_kcal_consumed_Broccoli and cauliflower&quot;: 3017254, &quot;low_kcal_consumed_Cabbage&quot;: 3793758, &quot;low_kcal_consumed_Carrots&quot;: 5071254, &quot;low_kcal_consumed_Celery&quot;: 1044140, &quot;low_kcal_consumed_Corn&quot;: 248522303, &quot;low_kcal_consumed_Cucumbers&quot;: 1523131, &quot;low_kcal_consumed_Grapes&quot;: 16798592, &quot;low_kcal_consumed_Green peas&quot;: 8838734, &quot;low_kcal_consumed_Legumes&quot;: 98354001, &quot;low_kcal_consumed_Lettuce&quot;: 6176153, &quot;low_kcal_consumed_Melons&quot;: 3460792, &quot;low_kcal_consumed_Oats&quot;: 35925015, &quot;low_kcal_consumed_Onions&quot;: 12746084, &quot;low_kcal_consumed_Oranges&quot;: 32049521, &quot;low_kcal_consumed_Other citrus fruits&quot;: 8318145, &quot;low_kcal_consumed_Other grain&quot;: 175873077, &quot;low_kcal_consumed_Peanuts&quot;: 120615943, &quot;low_kcal_consumed_Peppers&quot;: 9144533, &quot;low_kcal_consumed_Potatoes&quot;: 109130494, &quot;low_kcal_consumed_Radishes&quot;: 1250027, &quot;low_kcal_consumed_Rice&quot;: 167848480, &quot;low_kcal_consumed_Stone fruits&quot;: 14949598, &quot;low_kcal_consumed_Sweet corn&quot;: 6055652, &quot;low_kcal_consumed_Tomatoes&quot;: 20412568, &quot;low_kcal_consumed_Tree nuts&quot;: 37329603, &quot;low_kcal_consumed_Tropical fruits&quot;: 15548435, &quot;low_kcal_consumed_Wheat&quot;: 1243875409, &quot;low_kg_consumed_Apples&quot;: 116658, &quot;low_kg_consumed_Bananas&quot;: 44589, &quot;low_kg_consumed_Berries&quot;: 31064, &quot;low_kg_consumed_Broccoli and cauliflower&quot;: 17393, &quot;low_kg_consumed_Cabbage&quot;: 18885, &quot;low_kg_consumed_Carrots&quot;: 13886, &quot;low_kg_consumed_Celery&quot;: 7566.0, &quot;low_kg_consumed_Corn&quot;: 68088, &quot;low_kg_consumed_Cucumbers&quot;: 9414, &quot;low_kg_consumed_Grapes&quot;: 29262, &quot;low_kg_consumed_Green peas&quot;: 4625.0, &quot;low_kg_consumed_Legumes&quot;: 31287, &quot;low_kg_consumed_Lettuce&quot;: 46021, &quot;low_kg_consumed_Melons&quot;: 15381, &quot;low_kg_consumed_Oats&quot;: 9235, &quot;low_kg_consumed_Onions&quot;: 34842, &quot;low_kg_consumed_Oranges&quot;: 90308, &quot;low_kg_consumed_Other citrus fruits&quot;: 25350, &quot;low_kg_consumed_Other grain&quot;: 50233, &quot;low_kg_consumed_Peanuts&quot;: 21259, &quot;low_kg_consumed_Peppers&quot;: 33571, &quot;low_kg_consumed_Potatoes&quot;: 187353, &quot;low_kg_consumed_Radishes&quot;: 8254.0, &quot;low_kg_consumed_Rice&quot;: 50002, &quot;low_kg_consumed_Stone fruits&quot;: 18333, &quot;low_kg_consumed_Sweet corn&quot;: 18977, &quot;low_kg_consumed_Tomatoes&quot;: 109142, &quot;low_kg_consumed_Tree nuts&quot;: 8067.0, &quot;low_kg_consumed_Tropical fruits&quot;: 28297, &quot;low_kg_consumed_Wheat&quot;: 372645, &quot;lsad&quot;: &quot;06&quot;, &quot;name&quot;: &quot;Cherokee&quot;, &quot;namelsad&quot;: &quot;Cherokee County&quot;, &quot;other_kcal_consumed_Apples&quot;: 2239811.0, &quot;other_kcal_consumed_Bananas&quot;: 1937601.0, &quot;other_kcal_consumed_Berries&quot;: 816273.0, &quot;other_kcal_consumed_Broccoli and cauliflower&quot;: 156209.0, &quot;other_kcal_consumed_Cabbage&quot;: 176376.0, &quot;other_kcal_consumed_Carrots&quot;: 244083.0, &quot;other_kcal_consumed_Celery&quot;: 47130.0, &quot;other_kcal_consumed_Corn&quot;: 9382478.0, &quot;other_kcal_consumed_Cucumbers&quot;: 63865.0, &quot;other_kcal_consumed_Grapes&quot;: 731696.0, &quot;other_kcal_consumed_Green peas&quot;: 375738.0, &quot;other_kcal_consumed_Legumes&quot;: 4141747.0, &quot;other_kcal_consumed_Lettuce&quot;: 313874.0, &quot;other_kcal_consumed_Melons&quot;: 169980.0, &quot;other_kcal_consumed_Oats&quot;: 1806441.0, &quot;other_kcal_consumed_Onions&quot;: 581624.0, &quot;other_kcal_consumed_Oranges&quot;: 1314498.0, &quot;other_kcal_consumed_Other citrus fruits&quot;: 375880.0, &quot;other_kcal_consumed_Other grain&quot;: 7956461.0, &quot;other_kcal_consumed_Peanuts&quot;: 6257474.0, &quot;other_kcal_consumed_Peppers&quot;: 417609.0, &quot;other_kcal_consumed_Potatoes&quot;: 4751632.0, &quot;other_kcal_consumed_Radishes&quot;: 58115.0, &quot;other_kcal_consumed_Rice&quot;: 6928078.0, &quot;other_kcal_consumed_Stone fruits&quot;: 724001.0, &quot;other_kcal_consumed_Sweet corn&quot;: 258917.0, &quot;other_kcal_consumed_Tomatoes&quot;: 910671.0, &quot;other_kcal_consumed_Tree nuts&quot;: 2753443.0, &quot;other_kcal_consumed_Tropical fruits&quot;: 592227.0, &quot;other_kcal_consumed_Wheat&quot;: 54504225.0, &quot;other_kg_consumed_Apples&quot;: 4679.0, &quot;other_kg_consumed_Bananas&quot;: 1997.0, &quot;other_kg_consumed_Berries&quot;: 1521.0, &quot;other_kg_consumed_Broccoli and cauliflower&quot;: 900.0, &quot;other_kg_consumed_Cabbage&quot;: 877.0, &quot;other_kg_consumed_Carrots&quot;: 668.0, &quot;other_kg_consumed_Celery&quot;: 341.0, &quot;other_kg_consumed_Corn&quot;: 2570.0, &quot;other_kg_consumed_Cucumbers&quot;: 394.0, &quot;other_kg_consumed_Grapes&quot;: 1274.0, &quot;other_kg_consumed_Green peas&quot;: 196.0, &quot;other_kg_consumed_Legumes&quot;: 1317.0, &quot;other_kg_consumed_Lettuce&quot;: 2338.0, &quot;other_kg_consumed_Melons&quot;: 755.0, &quot;other_kg_consumed_Oats&quot;: 464.0, &quot;other_kg_consumed_Onions&quot;: 1589.0, &quot;other_kg_consumed_Oranges&quot;: 3703.0, &quot;other_kg_consumed_Other citrus fruits&quot;: 1145.0, &quot;other_kg_consumed_Other grain&quot;: 2272.0, &quot;other_kg_consumed_Peanuts&quot;: 1102.0, &quot;other_kg_consumed_Peppers&quot;: 1533.0, &quot;other_kg_consumed_Potatoes&quot;: 8157.0, &quot;other_kg_consumed_Radishes&quot;: 383.0, &quot;other_kg_consumed_Rice&quot;: 2063.0, &quot;other_kg_consumed_Stone fruits&quot;: 887.0, &quot;other_kg_consumed_Sweet corn&quot;: 811.0, &quot;other_kg_consumed_Tomatoes&quot;: 4869.0, &quot;other_kg_consumed_Tree nuts&quot;: 595.0, &quot;other_kg_consumed_Tropical fruits&quot;: 1077.0, &quot;other_kg_consumed_Wheat&quot;: 16328.0, &quot;race_black-african_american&quot;: 1108, &quot;race_hispanic-latino&quot;: 432, &quot;race_other_race&quot;: 581, &quot;race_total_population_determined&quot;: 24597, &quot;race_unknown_race&quot;: 378, &quot;race_white&quot;: 22476, &quot;state_name&quot;: &quot;Alabama&quot;, &quot;statefp&quot;: &quot;01&quot;, &quot;stusps&quot;: &quot;AL&quot;, &quot;total_kcal_consumed_Apples&quot;: 146520731, &quot;total_kcal_consumed_Bananas&quot;: 130340010, &quot;total_kcal_consumed_Berries&quot;: 56014120, &quot;total_kcal_consumed_Broccoli and cauliflower&quot;: 10841700, &quot;total_kcal_consumed_Cabbage&quot;: 11966551, &quot;total_kcal_consumed_Carrots&quot;: 16687278, &quot;total_kcal_consumed_Celery&quot;: 3176021, &quot;total_kcal_consumed_Corn&quot;: 603383630, &quot;total_kcal_consumed_Cucumbers&quot;: 4226916, &quot;total_kcal_consumed_Grapes&quot;: 48889798, &quot;total_kcal_consumed_Green peas&quot;: 24954862, &quot;total_kcal_consumed_Legumes&quot;: 274419008, &quot;total_kcal_consumed_Lettuce&quot;: 21703792, &quot;total_kcal_consumed_Melons&quot;: 11671392, &quot;total_kcal_consumed_Oats&quot;: 124642442, &quot;total_kcal_consumed_Onions&quot;: 39293674, &quot;total_kcal_consumed_Oranges&quot;: 86501885, &quot;total_kcal_consumed_Other citrus fruits&quot;: 25336487, &quot;total_kcal_consumed_Other grain&quot;: 536454113, &quot;total_kcal_consumed_Peanuts&quot;: 434477822, &quot;total_kcal_consumed_Peppers&quot;: 28218192, &quot;total_kcal_consumed_Potatoes&quot;: 317461120, &quot;total_kcal_consumed_Radishes&quot;: 3942927, &quot;total_kcal_consumed_Rice&quot;: 456668477, &quot;total_kcal_consumed_Stone fruits&quot;: 49563637, &quot;total_kcal_consumed_Sweet corn&quot;: 17220988, &quot;total_kcal_consumed_Tomatoes&quot;: 61200057, &quot;total_kcal_consumed_Tree nuts&quot;: 202366043, &quot;total_kcal_consumed_Tropical fruits&quot;: 38184247, &quot;total_kcal_consumed_Wheat&quot;: 3647106363, &quot;total_kg_consumed_Apples&quot;: 306115, &quot;total_kg_consumed_Bananas&quot;: 134371, &quot;total_kg_consumed_Berries&quot;: 104404, &quot;total_kg_consumed_Broccoli and cauliflower&quot;: 62497, &quot;total_kg_consumed_Cabbage&quot;: 59568, &quot;total_kg_consumed_Carrots&quot;: 45695, &quot;total_kg_consumed_Celery&quot;: 23014, &quot;total_kg_consumed_Corn&quot;: 165310, &quot;total_kg_consumed_Cucumbers&quot;: 26126, &quot;total_kg_consumed_Grapes&quot;: 85165, &quot;total_kg_consumed_Green peas&quot;: 13059, &quot;total_kg_consumed_Legumes&quot;: 87295, &quot;total_kg_consumed_Lettuce&quot;: 161726, &quot;total_kg_consumed_Melons&quot;: 51873, &quot;total_kg_consumed_Oats&quot;: 32043, &quot;total_kg_consumed_Onions&quot;: 107413, &quot;total_kg_consumed_Oranges&quot;: 243743, &quot;total_kg_consumed_Other citrus fruits&quot;: 77215, &quot;total_kg_consumed_Other grain&quot;: 153225, &quot;total_kg_consumed_Peanuts&quot;: 76579, &quot;total_kg_consumed_Peppers&quot;: 103595, &quot;total_kg_consumed_Potatoes&quot;: 545012, &quot;total_kg_consumed_Radishes&quot;: 26036, &quot;total_kg_consumed_Rice&quot;: 136043, &quot;total_kg_consumed_Stone fruits&quot;: 60782, &quot;total_kg_consumed_Sweet corn&quot;: 53968, &quot;total_kg_consumed_Tomatoes&quot;: 327225, &quot;total_kg_consumed_Tree nuts&quot;: 43734, &quot;total_kg_consumed_Tropical fruits&quot;: 69494, &quot;total_kg_consumed_Wheat&quot;: 1092614, &quot;total_population&quot;: 24975}, &quot;type&quot;: &quot;Feature&quot;}], &quot;type&quot;: &quot;FeatureCollection&quot;});\n",
       "\n",
       "        \n",
       "    \n",
       "    geo_json_e37c5e758b93bf56c85fea96982fac09.bindTooltip(\n",
       "    function(layer){\n",
       "    let div = L.DomUtil.create(&#x27;div&#x27;);\n",
       "    \n",
       "    let handleObject = feature=&gt;typeof(feature)==&#x27;object&#x27; ? JSON.stringify(feature) : feature;\n",
       "    let fields = [&quot;geoid&quot;, &quot;geography&quot;, &quot;geographic_area_name&quot;, &quot;total_population&quot;, &quot;agesex_male_total&quot;, &quot;agesex_female_total&quot;, &quot;agesex_male_kids&quot;, &quot;agesex_male_adults&quot;, &quot;agesex_female_kids&quot;, &quot;agesex_female_adults&quot;, &quot;agesex_kid_total&quot;, &quot;agesex_adult_total&quot;, &quot;income_total_population_determined&quot;, &quot;income_low_income&quot;, &quot;income_high_income&quot;, &quot;income_unknown_income&quot;, &quot;race_total_population_determined&quot;, &quot;race_black-african_american&quot;, &quot;race_hispanic-latino&quot;, &quot;race_white&quot;, &quot;race_other_race&quot;, &quot;race_unknown_race&quot;, &quot;statefp&quot;, &quot;countyfp&quot;, &quot;countyns&quot;, &quot;name&quot;, &quot;namelsad&quot;, &quot;stusps&quot;, &quot;state_name&quot;, &quot;lsad&quot;, &quot;aland&quot;, &quot;awater&quot;, &quot;low_kg_consumed_Apples&quot;, &quot;high_kg_consumed_Apples&quot;, &quot;other_kg_consumed_Apples&quot;, &quot;total_kg_consumed_Apples&quot;, &quot;low_kg_consumed_Bananas&quot;, &quot;high_kg_consumed_Bananas&quot;, &quot;other_kg_consumed_Bananas&quot;, &quot;total_kg_consumed_Bananas&quot;, &quot;low_kg_consumed_Berries&quot;, &quot;high_kg_consumed_Berries&quot;, &quot;other_kg_consumed_Berries&quot;, &quot;total_kg_consumed_Berries&quot;, &quot;low_kg_consumed_Grapes&quot;, &quot;high_kg_consumed_Grapes&quot;, &quot;other_kg_consumed_Grapes&quot;, &quot;total_kg_consumed_Grapes&quot;, &quot;low_kg_consumed_Melons&quot;, &quot;high_kg_consumed_Melons&quot;, &quot;other_kg_consumed_Melons&quot;, &quot;total_kg_consumed_Melons&quot;, &quot;low_kg_consumed_Oranges&quot;, &quot;high_kg_consumed_Oranges&quot;, &quot;other_kg_consumed_Oranges&quot;, &quot;total_kg_consumed_Oranges&quot;, &quot;low_kg_consumed_Other citrus fruits&quot;, &quot;high_kg_consumed_Other citrus fruits&quot;, &quot;other_kg_consumed_Other citrus fruits&quot;, &quot;total_kg_consumed_Other citrus fruits&quot;, &quot;low_kg_consumed_Stone fruits&quot;, &quot;high_kg_consumed_Stone fruits&quot;, &quot;other_kg_consumed_Stone fruits&quot;, &quot;total_kg_consumed_Stone fruits&quot;, &quot;low_kg_consumed_Tropical fruits&quot;, &quot;high_kg_consumed_Tropical fruits&quot;, &quot;other_kg_consumed_Tropical fruits&quot;, &quot;total_kg_consumed_Tropical fruits&quot;, &quot;low_kg_consumed_Broccoli and cauliflower&quot;, &quot;high_kg_consumed_Broccoli and cauliflower&quot;, &quot;other_kg_consumed_Broccoli and cauliflower&quot;, &quot;total_kg_consumed_Broccoli and cauliflower&quot;, &quot;low_kg_consumed_Carrots&quot;, &quot;high_kg_consumed_Carrots&quot;, &quot;other_kg_consumed_Carrots&quot;, &quot;total_kg_consumed_Carrots&quot;, &quot;low_kg_consumed_Celery&quot;, &quot;high_kg_consumed_Celery&quot;, &quot;other_kg_consumed_Celery&quot;, &quot;total_kg_consumed_Celery&quot;, &quot;low_kg_consumed_Cucumbers&quot;, &quot;high_kg_consumed_Cucumbers&quot;, &quot;other_kg_consumed_Cucumbers&quot;, &quot;total_kg_consumed_Cucumbers&quot;, &quot;low_kg_consumed_Green peas&quot;, &quot;high_kg_consumed_Green peas&quot;, &quot;other_kg_consumed_Green peas&quot;, &quot;total_kg_consumed_Green peas&quot;, &quot;low_kg_consumed_Lettuce&quot;, &quot;high_kg_consumed_Lettuce&quot;, &quot;other_kg_consumed_Lettuce&quot;, &quot;total_kg_consumed_Lettuce&quot;, &quot;low_kg_consumed_Onions&quot;, &quot;high_kg_consumed_Onions&quot;, &quot;other_kg_consumed_Onions&quot;, &quot;total_kg_consumed_Onions&quot;, &quot;low_kg_consumed_Peppers&quot;, &quot;high_kg_consumed_Peppers&quot;, &quot;other_kg_consumed_Peppers&quot;, &quot;total_kg_consumed_Peppers&quot;, &quot;low_kg_consumed_Tomatoes&quot;, &quot;high_kg_consumed_Tomatoes&quot;, &quot;other_kg_consumed_Tomatoes&quot;, &quot;total_kg_consumed_Tomatoes&quot;, &quot;low_kg_consumed_Sweet corn&quot;, &quot;high_kg_consumed_Sweet corn&quot;, &quot;other_kg_consumed_Sweet corn&quot;, &quot;total_kg_consumed_Sweet corn&quot;, &quot;low_kg_consumed_Potatoes&quot;, &quot;high_kg_consumed_Potatoes&quot;, &quot;other_kg_consumed_Potatoes&quot;, &quot;total_kg_consumed_Potatoes&quot;, &quot;low_kg_consumed_Legumes&quot;, &quot;high_kg_consumed_Legumes&quot;, &quot;other_kg_consumed_Legumes&quot;, &quot;total_kg_consumed_Legumes&quot;, &quot;low_kg_consumed_Corn&quot;, &quot;high_kg_consumed_Corn&quot;, &quot;other_kg_consumed_Corn&quot;, &quot;total_kg_consumed_Corn&quot;, &quot;low_kg_consumed_Oats&quot;, &quot;high_kg_consumed_Oats&quot;, &quot;other_kg_consumed_Oats&quot;, &quot;total_kg_consumed_Oats&quot;, &quot;low_kg_consumed_Rice&quot;, &quot;high_kg_consumed_Rice&quot;, &quot;other_kg_consumed_Rice&quot;, &quot;total_kg_consumed_Rice&quot;, &quot;low_kg_consumed_Wheat&quot;, &quot;high_kg_consumed_Wheat&quot;, &quot;other_kg_consumed_Wheat&quot;, &quot;total_kg_consumed_Wheat&quot;, &quot;low_kg_consumed_Peanuts&quot;, &quot;high_kg_consumed_Peanuts&quot;, &quot;other_kg_consumed_Peanuts&quot;, &quot;total_kg_consumed_Peanuts&quot;, &quot;low_kg_consumed_Tree nuts&quot;, &quot;high_kg_consumed_Tree nuts&quot;, &quot;other_kg_consumed_Tree nuts&quot;, &quot;total_kg_consumed_Tree nuts&quot;, &quot;low_kg_consumed_Other grain&quot;, &quot;high_kg_consumed_Other grain&quot;, &quot;other_kg_consumed_Other grain&quot;, &quot;total_kg_consumed_Other grain&quot;, &quot;low_kg_consumed_Radishes&quot;, &quot;high_kg_consumed_Radishes&quot;, &quot;other_kg_consumed_Radishes&quot;, &quot;total_kg_consumed_Radishes&quot;, &quot;low_kg_consumed_Cabbage&quot;, &quot;high_kg_consumed_Cabbage&quot;, &quot;other_kg_consumed_Cabbage&quot;, &quot;total_kg_consumed_Cabbage&quot;, &quot;low_kcal_consumed_Corn&quot;, &quot;high_kcal_consumed_Corn&quot;, &quot;other_kcal_consumed_Corn&quot;, &quot;total_kcal_consumed_Corn&quot;, &quot;low_kcal_consumed_Rice&quot;, &quot;high_kcal_consumed_Rice&quot;, &quot;other_kcal_consumed_Rice&quot;, &quot;total_kcal_consumed_Rice&quot;, &quot;low_kcal_consumed_Peanuts&quot;, &quot;high_kcal_consumed_Peanuts&quot;, &quot;other_kcal_consumed_Peanuts&quot;, &quot;total_kcal_consumed_Peanuts&quot;, &quot;low_kcal_consumed_Sweet corn&quot;, &quot;high_kcal_consumed_Sweet corn&quot;, &quot;other_kcal_consumed_Sweet corn&quot;, &quot;total_kcal_consumed_Sweet corn&quot;, &quot;low_kcal_consumed_Wheat&quot;, &quot;high_kcal_consumed_Wheat&quot;, &quot;other_kcal_consumed_Wheat&quot;, &quot;total_kcal_consumed_Wheat&quot;, &quot;low_kcal_consumed_Oats&quot;, &quot;high_kcal_consumed_Oats&quot;, &quot;other_kcal_consumed_Oats&quot;, &quot;total_kcal_consumed_Oats&quot;, &quot;low_kcal_consumed_Potatoes&quot;, &quot;high_kcal_consumed_Potatoes&quot;, &quot;other_kcal_consumed_Potatoes&quot;, &quot;total_kcal_consumed_Potatoes&quot;, &quot;low_kcal_consumed_Onions&quot;, &quot;high_kcal_consumed_Onions&quot;, &quot;other_kcal_consumed_Onions&quot;, &quot;total_kcal_consumed_Onions&quot;, &quot;low_kcal_consumed_Cucumbers&quot;, &quot;high_kcal_consumed_Cucumbers&quot;, &quot;other_kcal_consumed_Cucumbers&quot;, &quot;total_kcal_consumed_Cucumbers&quot;, &quot;low_kcal_consumed_Green peas&quot;, &quot;high_kcal_consumed_Green peas&quot;, &quot;other_kcal_consumed_Green peas&quot;, &quot;total_kcal_consumed_Green peas&quot;, &quot;low_kcal_consumed_Tomatoes&quot;, &quot;high_kcal_consumed_Tomatoes&quot;, &quot;other_kcal_consumed_Tomatoes&quot;, &quot;total_kcal_consumed_Tomatoes&quot;, &quot;low_kcal_consumed_Apples&quot;, &quot;high_kcal_consumed_Apples&quot;, &quot;other_kcal_consumed_Apples&quot;, &quot;total_kcal_consumed_Apples&quot;, &quot;low_kcal_consumed_Grapes&quot;, &quot;high_kcal_consumed_Grapes&quot;, &quot;other_kcal_consumed_Grapes&quot;, &quot;total_kcal_consumed_Grapes&quot;, &quot;low_kcal_consumed_Other citrus fruits&quot;, &quot;high_kcal_consumed_Other citrus fruits&quot;, &quot;other_kcal_consumed_Other citrus fruits&quot;, &quot;total_kcal_consumed_Other citrus fruits&quot;, &quot;low_kcal_consumed_Carrots&quot;, &quot;high_kcal_consumed_Carrots&quot;, &quot;other_kcal_consumed_Carrots&quot;, &quot;total_kcal_consumed_Carrots&quot;, &quot;low_kcal_consumed_Oranges&quot;, &quot;high_kcal_consumed_Oranges&quot;, &quot;other_kcal_consumed_Oranges&quot;, &quot;total_kcal_consumed_Oranges&quot;, &quot;low_kcal_consumed_Peppers&quot;, &quot;high_kcal_consumed_Peppers&quot;, &quot;other_kcal_consumed_Peppers&quot;, &quot;total_kcal_consumed_Peppers&quot;, &quot;low_kcal_consumed_Lettuce&quot;, &quot;high_kcal_consumed_Lettuce&quot;, &quot;other_kcal_consumed_Lettuce&quot;, &quot;total_kcal_consumed_Lettuce&quot;, &quot;low_kcal_consumed_Cabbage&quot;, &quot;high_kcal_consumed_Cabbage&quot;, &quot;other_kcal_consumed_Cabbage&quot;, &quot;total_kcal_consumed_Cabbage&quot;, &quot;low_kcal_consumed_Celery&quot;, &quot;high_kcal_consumed_Celery&quot;, &quot;other_kcal_consumed_Celery&quot;, &quot;total_kcal_consumed_Celery&quot;, &quot;low_kcal_consumed_Radishes&quot;, &quot;high_kcal_consumed_Radishes&quot;, &quot;other_kcal_consumed_Radishes&quot;, &quot;total_kcal_consumed_Radishes&quot;, &quot;low_kcal_consumed_Tree nuts&quot;, &quot;high_kcal_consumed_Tree nuts&quot;, &quot;other_kcal_consumed_Tree nuts&quot;, &quot;total_kcal_consumed_Tree nuts&quot;, &quot;low_kcal_consumed_Other grain&quot;, &quot;high_kcal_consumed_Other grain&quot;, &quot;other_kcal_consumed_Other grain&quot;, &quot;total_kcal_consumed_Other grain&quot;, &quot;low_kcal_consumed_Broccoli and cauliflower&quot;, &quot;high_kcal_consumed_Broccoli and cauliflower&quot;, &quot;other_kcal_consumed_Broccoli and cauliflower&quot;, &quot;total_kcal_consumed_Broccoli and cauliflower&quot;, &quot;low_kcal_consumed_Stone fruits&quot;, &quot;high_kcal_consumed_Stone fruits&quot;, &quot;other_kcal_consumed_Stone fruits&quot;, &quot;total_kcal_consumed_Stone fruits&quot;, &quot;low_kcal_consumed_Berries&quot;, &quot;high_kcal_consumed_Berries&quot;, &quot;other_kcal_consumed_Berries&quot;, &quot;total_kcal_consumed_Berries&quot;, &quot;low_kcal_consumed_Legumes&quot;, &quot;high_kcal_consumed_Legumes&quot;, &quot;other_kcal_consumed_Legumes&quot;, &quot;total_kcal_consumed_Legumes&quot;, &quot;low_kcal_consumed_Melons&quot;, &quot;high_kcal_consumed_Melons&quot;, &quot;other_kcal_consumed_Melons&quot;, &quot;total_kcal_consumed_Melons&quot;, &quot;low_kcal_consumed_Bananas&quot;, &quot;high_kcal_consumed_Bananas&quot;, &quot;other_kcal_consumed_Bananas&quot;, &quot;total_kcal_consumed_Bananas&quot;, &quot;low_kcal_consumed_Tropical fruits&quot;, &quot;high_kcal_consumed_Tropical fruits&quot;, &quot;other_kcal_consumed_Tropical fruits&quot;, &quot;total_kcal_consumed_Tropical fruits&quot;, &quot;kcal_produced_Corn&quot;, &quot;kg_produced_Corn&quot;, &quot;kcal_produced_Rice&quot;, &quot;kg_produced_Rice&quot;, &quot;kcal_produced_Peanuts&quot;, &quot;kg_produced_Peanuts&quot;, &quot;kcal_produced_Sweet corn&quot;, &quot;kg_produced_Sweet corn&quot;, &quot;kcal_produced_Wheat&quot;, &quot;kg_produced_Wheat&quot;, &quot;kcal_produced_Oats&quot;, &quot;kg_produced_Oats&quot;, &quot;kcal_produced_Potatoes&quot;, &quot;kg_produced_Potatoes&quot;, &quot;kcal_produced_Onions&quot;, &quot;kg_produced_Onions&quot;, &quot;kcal_produced_Cucumbers&quot;, &quot;kg_produced_Cucumbers&quot;, &quot;kcal_produced_Green peas&quot;, &quot;kg_produced_Green peas&quot;, &quot;kcal_produced_Tomatoes&quot;, &quot;kg_produced_Tomatoes&quot;, &quot;kcal_produced_Apples&quot;, &quot;kg_produced_Apples&quot;, &quot;kcal_produced_Grapes&quot;, &quot;kg_produced_Grapes&quot;, &quot;kcal_produced_Other citrus fruits&quot;, &quot;kg_produced_Other citrus fruits&quot;, &quot;kcal_produced_Carrots&quot;, &quot;kg_produced_Carrots&quot;, &quot;kcal_produced_Oranges&quot;, &quot;kg_produced_Oranges&quot;, &quot;kcal_produced_Peppers&quot;, &quot;kg_produced_Peppers&quot;, &quot;kcal_produced_Lettuce&quot;, &quot;kg_produced_Lettuce&quot;, &quot;kcal_produced_Cabbage&quot;, &quot;kg_produced_Cabbage&quot;, &quot;kcal_produced_Celery&quot;, &quot;kg_produced_Celery&quot;, &quot;kcal_produced_Radishes&quot;, &quot;kg_produced_Radishes&quot;, &quot;kcal_produced_Tree nuts&quot;, &quot;kg_produced_Tree nuts&quot;, &quot;kcal_produced_Other grain&quot;, &quot;kg_produced_Other grain&quot;, &quot;kcal_produced_Broccoli and cauliflower&quot;, &quot;kg_produced_Broccoli and cauliflower&quot;, &quot;kcal_produced_Stone fruits&quot;, &quot;kg_produced_Stone fruits&quot;, &quot;kcal_produced_Berries&quot;, &quot;kg_produced_Berries&quot;, &quot;kcal_produced_Legumes&quot;, &quot;kg_produced_Legumes&quot;, &quot;kcal_produced_Melons&quot;, &quot;kg_produced_Melons&quot;, &quot;kcal_produced_Bananas&quot;, &quot;kg_produced_Bananas&quot;, &quot;kcal_produced_Tropical fruits&quot;, &quot;kg_produced_Tropical fruits&quot;, &quot;kcal_produced_heat_Corn&quot;, &quot;kg_produced_heat_Corn&quot;, &quot;kcal_produced_heat_Rice&quot;, &quot;kg_produced_heat_Rice&quot;, &quot;kcal_produced_heat_Peanuts&quot;, &quot;kg_produced_heat_Peanuts&quot;, &quot;kcal_produced_heat_Sweet corn&quot;, &quot;kg_produced_heat_Sweet corn&quot;, &quot;kcal_produced_heat_Wheat&quot;, &quot;kg_produced_heat_Wheat&quot;, &quot;kcal_produced_heat_Oats&quot;, &quot;kg_produced_heat_Oats&quot;, &quot;kcal_produced_heat_Potatoes&quot;, &quot;kg_produced_heat_Potatoes&quot;, &quot;kcal_produced_heat_Onions&quot;, &quot;kg_produced_heat_Onions&quot;, &quot;kcal_produced_heat_Cucumbers&quot;, &quot;kg_produced_heat_Cucumbers&quot;, &quot;kcal_produced_heat_Green peas&quot;, &quot;kg_produced_heat_Green peas&quot;, &quot;kcal_produced_heat_Tomatoes&quot;, &quot;kg_produced_heat_Tomatoes&quot;, &quot;kcal_produced_heat_Apples&quot;, &quot;kg_produced_heat_Apples&quot;, &quot;kcal_produced_heat_Grapes&quot;, &quot;kg_produced_heat_Grapes&quot;, &quot;kcal_produced_heat_Other citrus fruits&quot;, &quot;kg_produced_heat_Other citrus fruits&quot;, &quot;kcal_produced_heat_Carrots&quot;, &quot;kg_produced_heat_Carrots&quot;, &quot;kcal_produced_heat_Oranges&quot;, &quot;kg_produced_heat_Oranges&quot;, &quot;kcal_produced_heat_Peppers&quot;, &quot;kg_produced_heat_Peppers&quot;, &quot;kcal_produced_heat_Lettuce&quot;, &quot;kg_produced_heat_Lettuce&quot;, &quot;kcal_produced_heat_Cabbage&quot;, &quot;kg_produced_heat_Cabbage&quot;, &quot;kcal_produced_heat_Celery&quot;, &quot;kg_produced_heat_Celery&quot;, &quot;kcal_produced_heat_Radishes&quot;, &quot;kg_produced_heat_Radishes&quot;, &quot;kcal_produced_heat_Tree nuts&quot;, &quot;kg_produced_heat_Tree nuts&quot;, &quot;kcal_produced_heat_Other grain&quot;, &quot;kg_produced_heat_Other grain&quot;, &quot;kcal_produced_heat_Broccoli and cauliflower&quot;, &quot;kg_produced_heat_Broccoli and cauliflower&quot;, &quot;kcal_produced_heat_Stone fruits&quot;, &quot;kg_produced_heat_Stone fruits&quot;, &quot;kcal_produced_heat_Berries&quot;, &quot;kg_produced_heat_Berries&quot;, &quot;kcal_produced_heat_Legumes&quot;, &quot;kg_produced_heat_Legumes&quot;, &quot;kcal_produced_heat_Melons&quot;, &quot;kg_produced_heat_Melons&quot;, &quot;kcal_produced_heat_Bananas&quot;, &quot;kg_produced_heat_Bananas&quot;, &quot;kcal_produced_heat_Tropical fruits&quot;, &quot;kg_produced_heat_Tropical fruits&quot;, &quot;kcal_produced_drought_Corn&quot;, &quot;kg_produced_drought_Corn&quot;, &quot;kcal_produced_drought_Rice&quot;, &quot;kg_produced_drought_Rice&quot;, &quot;kcal_produced_drought_Peanuts&quot;, &quot;kg_produced_drought_Peanuts&quot;, &quot;kcal_produced_drought_Sweet corn&quot;, &quot;kg_produced_drought_Sweet corn&quot;, &quot;kcal_produced_drought_Wheat&quot;, &quot;kg_produced_drought_Wheat&quot;, &quot;kcal_produced_drought_Oats&quot;, &quot;kg_produced_drought_Oats&quot;, &quot;kcal_produced_drought_Potatoes&quot;, &quot;kg_produced_drought_Potatoes&quot;, &quot;kcal_produced_drought_Onions&quot;, &quot;kg_produced_drought_Onions&quot;, &quot;kcal_produced_drought_Cucumbers&quot;, &quot;kg_produced_drought_Cucumbers&quot;, &quot;kcal_produced_drought_Green peas&quot;, &quot;kg_produced_drought_Green peas&quot;, &quot;kcal_produced_drought_Tomatoes&quot;, &quot;kg_produced_drought_Tomatoes&quot;, &quot;kcal_produced_drought_Apples&quot;, &quot;kg_produced_drought_Apples&quot;, &quot;kcal_produced_drought_Grapes&quot;, &quot;kg_produced_drought_Grapes&quot;, &quot;kcal_produced_drought_Other citrus fruits&quot;, &quot;kg_produced_drought_Other citrus fruits&quot;, &quot;kcal_produced_drought_Carrots&quot;, &quot;kg_produced_drought_Carrots&quot;, &quot;kcal_produced_drought_Oranges&quot;, &quot;kg_produced_drought_Oranges&quot;, &quot;kcal_produced_drought_Peppers&quot;, &quot;kg_produced_drought_Peppers&quot;, &quot;kcal_produced_drought_Lettuce&quot;, &quot;kg_produced_drought_Lettuce&quot;, &quot;kcal_produced_drought_Cabbage&quot;, &quot;kg_produced_drought_Cabbage&quot;, &quot;kcal_produced_drought_Celery&quot;, &quot;kg_produced_drought_Celery&quot;, &quot;kcal_produced_drought_Radishes&quot;, &quot;kg_produced_drought_Radishes&quot;, &quot;kcal_produced_drought_Tree nuts&quot;, &quot;kg_produced_drought_Tree nuts&quot;, &quot;kcal_produced_drought_Other grain&quot;, &quot;kg_produced_drought_Other grain&quot;, &quot;kcal_produced_drought_Broccoli and cauliflower&quot;, &quot;kg_produced_drought_Broccoli and cauliflower&quot;, &quot;kcal_produced_drought_Stone fruits&quot;, &quot;kg_produced_drought_Stone fruits&quot;, &quot;kcal_produced_drought_Berries&quot;, &quot;kg_produced_drought_Berries&quot;, &quot;kcal_produced_drought_Legumes&quot;, &quot;kg_produced_drought_Legumes&quot;, &quot;kcal_produced_drought_Melons&quot;, &quot;kg_produced_drought_Melons&quot;, &quot;kcal_produced_drought_Bananas&quot;, &quot;kg_produced_drought_Bananas&quot;, &quot;kcal_produced_drought_Tropical fruits&quot;, &quot;kg_produced_drought_Tropical fruits&quot;];\n",
       "    let aliases = [&quot;geoid&quot;, &quot;geography&quot;, &quot;geographic_area_name&quot;, &quot;total_population&quot;, &quot;agesex_male_total&quot;, &quot;agesex_female_total&quot;, &quot;agesex_male_kids&quot;, &quot;agesex_male_adults&quot;, &quot;agesex_female_kids&quot;, &quot;agesex_female_adults&quot;, &quot;agesex_kid_total&quot;, &quot;agesex_adult_total&quot;, &quot;income_total_population_determined&quot;, &quot;income_low_income&quot;, &quot;income_high_income&quot;, &quot;income_unknown_income&quot;, &quot;race_total_population_determined&quot;, &quot;race_black-african_american&quot;, &quot;race_hispanic-latino&quot;, &quot;race_white&quot;, &quot;race_other_race&quot;, &quot;race_unknown_race&quot;, &quot;statefp&quot;, &quot;countyfp&quot;, &quot;countyns&quot;, &quot;name&quot;, &quot;namelsad&quot;, &quot;stusps&quot;, &quot;state_name&quot;, &quot;lsad&quot;, &quot;aland&quot;, &quot;awater&quot;, &quot;low_kg_consumed_Apples&quot;, &quot;high_kg_consumed_Apples&quot;, &quot;other_kg_consumed_Apples&quot;, &quot;total_kg_consumed_Apples&quot;, &quot;low_kg_consumed_Bananas&quot;, &quot;high_kg_consumed_Bananas&quot;, &quot;other_kg_consumed_Bananas&quot;, &quot;total_kg_consumed_Bananas&quot;, &quot;low_kg_consumed_Berries&quot;, &quot;high_kg_consumed_Berries&quot;, &quot;other_kg_consumed_Berries&quot;, &quot;total_kg_consumed_Berries&quot;, &quot;low_kg_consumed_Grapes&quot;, &quot;high_kg_consumed_Grapes&quot;, &quot;other_kg_consumed_Grapes&quot;, &quot;total_kg_consumed_Grapes&quot;, &quot;low_kg_consumed_Melons&quot;, &quot;high_kg_consumed_Melons&quot;, &quot;other_kg_consumed_Melons&quot;, &quot;total_kg_consumed_Melons&quot;, &quot;low_kg_consumed_Oranges&quot;, &quot;high_kg_consumed_Oranges&quot;, &quot;other_kg_consumed_Oranges&quot;, &quot;total_kg_consumed_Oranges&quot;, &quot;low_kg_consumed_Other citrus fruits&quot;, &quot;high_kg_consumed_Other citrus fruits&quot;, &quot;other_kg_consumed_Other citrus fruits&quot;, &quot;total_kg_consumed_Other citrus fruits&quot;, &quot;low_kg_consumed_Stone fruits&quot;, &quot;high_kg_consumed_Stone fruits&quot;, &quot;other_kg_consumed_Stone fruits&quot;, &quot;total_kg_consumed_Stone fruits&quot;, &quot;low_kg_consumed_Tropical fruits&quot;, &quot;high_kg_consumed_Tropical fruits&quot;, &quot;other_kg_consumed_Tropical fruits&quot;, &quot;total_kg_consumed_Tropical fruits&quot;, &quot;low_kg_consumed_Broccoli and cauliflower&quot;, &quot;high_kg_consumed_Broccoli and cauliflower&quot;, &quot;other_kg_consumed_Broccoli and cauliflower&quot;, &quot;total_kg_consumed_Broccoli and cauliflower&quot;, &quot;low_kg_consumed_Carrots&quot;, &quot;high_kg_consumed_Carrots&quot;, &quot;other_kg_consumed_Carrots&quot;, &quot;total_kg_consumed_Carrots&quot;, &quot;low_kg_consumed_Celery&quot;, &quot;high_kg_consumed_Celery&quot;, &quot;other_kg_consumed_Celery&quot;, &quot;total_kg_consumed_Celery&quot;, &quot;low_kg_consumed_Cucumbers&quot;, &quot;high_kg_consumed_Cucumbers&quot;, &quot;other_kg_consumed_Cucumbers&quot;, &quot;total_kg_consumed_Cucumbers&quot;, &quot;low_kg_consumed_Green peas&quot;, &quot;high_kg_consumed_Green peas&quot;, &quot;other_kg_consumed_Green peas&quot;, &quot;total_kg_consumed_Green peas&quot;, &quot;low_kg_consumed_Lettuce&quot;, &quot;high_kg_consumed_Lettuce&quot;, &quot;other_kg_consumed_Lettuce&quot;, &quot;total_kg_consumed_Lettuce&quot;, &quot;low_kg_consumed_Onions&quot;, &quot;high_kg_consumed_Onions&quot;, &quot;other_kg_consumed_Onions&quot;, &quot;total_kg_consumed_Onions&quot;, &quot;low_kg_consumed_Peppers&quot;, &quot;high_kg_consumed_Peppers&quot;, &quot;other_kg_consumed_Peppers&quot;, &quot;total_kg_consumed_Peppers&quot;, &quot;low_kg_consumed_Tomatoes&quot;, &quot;high_kg_consumed_Tomatoes&quot;, &quot;other_kg_consumed_Tomatoes&quot;, &quot;total_kg_consumed_Tomatoes&quot;, &quot;low_kg_consumed_Sweet corn&quot;, &quot;high_kg_consumed_Sweet corn&quot;, &quot;other_kg_consumed_Sweet corn&quot;, &quot;total_kg_consumed_Sweet corn&quot;, &quot;low_kg_consumed_Potatoes&quot;, &quot;high_kg_consumed_Potatoes&quot;, &quot;other_kg_consumed_Potatoes&quot;, &quot;total_kg_consumed_Potatoes&quot;, &quot;low_kg_consumed_Legumes&quot;, &quot;high_kg_consumed_Legumes&quot;, &quot;other_kg_consumed_Legumes&quot;, &quot;total_kg_consumed_Legumes&quot;, &quot;low_kg_consumed_Corn&quot;, &quot;high_kg_consumed_Corn&quot;, &quot;other_kg_consumed_Corn&quot;, &quot;total_kg_consumed_Corn&quot;, &quot;low_kg_consumed_Oats&quot;, &quot;high_kg_consumed_Oats&quot;, &quot;other_kg_consumed_Oats&quot;, &quot;total_kg_consumed_Oats&quot;, &quot;low_kg_consumed_Rice&quot;, &quot;high_kg_consumed_Rice&quot;, &quot;other_kg_consumed_Rice&quot;, &quot;total_kg_consumed_Rice&quot;, &quot;low_kg_consumed_Wheat&quot;, &quot;high_kg_consumed_Wheat&quot;, &quot;other_kg_consumed_Wheat&quot;, &quot;total_kg_consumed_Wheat&quot;, &quot;low_kg_consumed_Peanuts&quot;, &quot;high_kg_consumed_Peanuts&quot;, &quot;other_kg_consumed_Peanuts&quot;, &quot;total_kg_consumed_Peanuts&quot;, &quot;low_kg_consumed_Tree nuts&quot;, &quot;high_kg_consumed_Tree nuts&quot;, &quot;other_kg_consumed_Tree nuts&quot;, &quot;total_kg_consumed_Tree nuts&quot;, &quot;low_kg_consumed_Other grain&quot;, &quot;high_kg_consumed_Other grain&quot;, &quot;other_kg_consumed_Other grain&quot;, &quot;total_kg_consumed_Other grain&quot;, &quot;low_kg_consumed_Radishes&quot;, &quot;high_kg_consumed_Radishes&quot;, &quot;other_kg_consumed_Radishes&quot;, &quot;total_kg_consumed_Radishes&quot;, &quot;low_kg_consumed_Cabbage&quot;, &quot;high_kg_consumed_Cabbage&quot;, &quot;other_kg_consumed_Cabbage&quot;, &quot;total_kg_consumed_Cabbage&quot;, &quot;low_kcal_consumed_Corn&quot;, &quot;high_kcal_consumed_Corn&quot;, &quot;other_kcal_consumed_Corn&quot;, &quot;total_kcal_consumed_Corn&quot;, &quot;low_kcal_consumed_Rice&quot;, &quot;high_kcal_consumed_Rice&quot;, &quot;other_kcal_consumed_Rice&quot;, &quot;total_kcal_consumed_Rice&quot;, &quot;low_kcal_consumed_Peanuts&quot;, &quot;high_kcal_consumed_Peanuts&quot;, &quot;other_kcal_consumed_Peanuts&quot;, &quot;total_kcal_consumed_Peanuts&quot;, &quot;low_kcal_consumed_Sweet corn&quot;, &quot;high_kcal_consumed_Sweet corn&quot;, &quot;other_kcal_consumed_Sweet corn&quot;, &quot;total_kcal_consumed_Sweet corn&quot;, &quot;low_kcal_consumed_Wheat&quot;, &quot;high_kcal_consumed_Wheat&quot;, &quot;other_kcal_consumed_Wheat&quot;, &quot;total_kcal_consumed_Wheat&quot;, &quot;low_kcal_consumed_Oats&quot;, &quot;high_kcal_consumed_Oats&quot;, &quot;other_kcal_consumed_Oats&quot;, &quot;total_kcal_consumed_Oats&quot;, &quot;low_kcal_consumed_Potatoes&quot;, &quot;high_kcal_consumed_Potatoes&quot;, &quot;other_kcal_consumed_Potatoes&quot;, &quot;total_kcal_consumed_Potatoes&quot;, &quot;low_kcal_consumed_Onions&quot;, &quot;high_kcal_consumed_Onions&quot;, &quot;other_kcal_consumed_Onions&quot;, &quot;total_kcal_consumed_Onions&quot;, &quot;low_kcal_consumed_Cucumbers&quot;, &quot;high_kcal_consumed_Cucumbers&quot;, &quot;other_kcal_consumed_Cucumbers&quot;, &quot;total_kcal_consumed_Cucumbers&quot;, &quot;low_kcal_consumed_Green peas&quot;, &quot;high_kcal_consumed_Green peas&quot;, &quot;other_kcal_consumed_Green peas&quot;, &quot;total_kcal_consumed_Green peas&quot;, &quot;low_kcal_consumed_Tomatoes&quot;, &quot;high_kcal_consumed_Tomatoes&quot;, &quot;other_kcal_consumed_Tomatoes&quot;, &quot;total_kcal_consumed_Tomatoes&quot;, &quot;low_kcal_consumed_Apples&quot;, &quot;high_kcal_consumed_Apples&quot;, &quot;other_kcal_consumed_Apples&quot;, &quot;total_kcal_consumed_Apples&quot;, &quot;low_kcal_consumed_Grapes&quot;, &quot;high_kcal_consumed_Grapes&quot;, &quot;other_kcal_consumed_Grapes&quot;, &quot;total_kcal_consumed_Grapes&quot;, &quot;low_kcal_consumed_Other citrus fruits&quot;, &quot;high_kcal_consumed_Other citrus fruits&quot;, &quot;other_kcal_consumed_Other citrus fruits&quot;, &quot;total_kcal_consumed_Other citrus fruits&quot;, &quot;low_kcal_consumed_Carrots&quot;, &quot;high_kcal_consumed_Carrots&quot;, &quot;other_kcal_consumed_Carrots&quot;, &quot;total_kcal_consumed_Carrots&quot;, &quot;low_kcal_consumed_Oranges&quot;, &quot;high_kcal_consumed_Oranges&quot;, &quot;other_kcal_consumed_Oranges&quot;, &quot;total_kcal_consumed_Oranges&quot;, &quot;low_kcal_consumed_Peppers&quot;, &quot;high_kcal_consumed_Peppers&quot;, &quot;other_kcal_consumed_Peppers&quot;, &quot;total_kcal_consumed_Peppers&quot;, &quot;low_kcal_consumed_Lettuce&quot;, &quot;high_kcal_consumed_Lettuce&quot;, &quot;other_kcal_consumed_Lettuce&quot;, &quot;total_kcal_consumed_Lettuce&quot;, &quot;low_kcal_consumed_Cabbage&quot;, &quot;high_kcal_consumed_Cabbage&quot;, &quot;other_kcal_consumed_Cabbage&quot;, &quot;total_kcal_consumed_Cabbage&quot;, &quot;low_kcal_consumed_Celery&quot;, &quot;high_kcal_consumed_Celery&quot;, &quot;other_kcal_consumed_Celery&quot;, &quot;total_kcal_consumed_Celery&quot;, &quot;low_kcal_consumed_Radishes&quot;, &quot;high_kcal_consumed_Radishes&quot;, &quot;other_kcal_consumed_Radishes&quot;, &quot;total_kcal_consumed_Radishes&quot;, &quot;low_kcal_consumed_Tree nuts&quot;, &quot;high_kcal_consumed_Tree nuts&quot;, &quot;other_kcal_consumed_Tree nuts&quot;, &quot;total_kcal_consumed_Tree nuts&quot;, &quot;low_kcal_consumed_Other grain&quot;, &quot;high_kcal_consumed_Other grain&quot;, &quot;other_kcal_consumed_Other grain&quot;, &quot;total_kcal_consumed_Other grain&quot;, &quot;low_kcal_consumed_Broccoli and cauliflower&quot;, &quot;high_kcal_consumed_Broccoli and cauliflower&quot;, &quot;other_kcal_consumed_Broccoli and cauliflower&quot;, &quot;total_kcal_consumed_Broccoli and cauliflower&quot;, &quot;low_kcal_consumed_Stone fruits&quot;, &quot;high_kcal_consumed_Stone fruits&quot;, &quot;other_kcal_consumed_Stone fruits&quot;, &quot;total_kcal_consumed_Stone fruits&quot;, &quot;low_kcal_consumed_Berries&quot;, &quot;high_kcal_consumed_Berries&quot;, &quot;other_kcal_consumed_Berries&quot;, &quot;total_kcal_consumed_Berries&quot;, &quot;low_kcal_consumed_Legumes&quot;, &quot;high_kcal_consumed_Legumes&quot;, &quot;other_kcal_consumed_Legumes&quot;, &quot;total_kcal_consumed_Legumes&quot;, &quot;low_kcal_consumed_Melons&quot;, &quot;high_kcal_consumed_Melons&quot;, &quot;other_kcal_consumed_Melons&quot;, &quot;total_kcal_consumed_Melons&quot;, &quot;low_kcal_consumed_Bananas&quot;, &quot;high_kcal_consumed_Bananas&quot;, &quot;other_kcal_consumed_Bananas&quot;, &quot;total_kcal_consumed_Bananas&quot;, &quot;low_kcal_consumed_Tropical fruits&quot;, &quot;high_kcal_consumed_Tropical fruits&quot;, &quot;other_kcal_consumed_Tropical fruits&quot;, &quot;total_kcal_consumed_Tropical fruits&quot;, &quot;kcal_produced_Corn&quot;, &quot;kg_produced_Corn&quot;, &quot;kcal_produced_Rice&quot;, &quot;kg_produced_Rice&quot;, &quot;kcal_produced_Peanuts&quot;, &quot;kg_produced_Peanuts&quot;, &quot;kcal_produced_Sweet corn&quot;, &quot;kg_produced_Sweet corn&quot;, &quot;kcal_produced_Wheat&quot;, &quot;kg_produced_Wheat&quot;, &quot;kcal_produced_Oats&quot;, &quot;kg_produced_Oats&quot;, &quot;kcal_produced_Potatoes&quot;, &quot;kg_produced_Potatoes&quot;, &quot;kcal_produced_Onions&quot;, &quot;kg_produced_Onions&quot;, &quot;kcal_produced_Cucumbers&quot;, &quot;kg_produced_Cucumbers&quot;, &quot;kcal_produced_Green peas&quot;, &quot;kg_produced_Green peas&quot;, &quot;kcal_produced_Tomatoes&quot;, &quot;kg_produced_Tomatoes&quot;, &quot;kcal_produced_Apples&quot;, &quot;kg_produced_Apples&quot;, &quot;kcal_produced_Grapes&quot;, &quot;kg_produced_Grapes&quot;, &quot;kcal_produced_Other citrus fruits&quot;, &quot;kg_produced_Other citrus fruits&quot;, &quot;kcal_produced_Carrots&quot;, &quot;kg_produced_Carrots&quot;, &quot;kcal_produced_Oranges&quot;, &quot;kg_produced_Oranges&quot;, &quot;kcal_produced_Peppers&quot;, &quot;kg_produced_Peppers&quot;, &quot;kcal_produced_Lettuce&quot;, &quot;kg_produced_Lettuce&quot;, &quot;kcal_produced_Cabbage&quot;, &quot;kg_produced_Cabbage&quot;, &quot;kcal_produced_Celery&quot;, &quot;kg_produced_Celery&quot;, &quot;kcal_produced_Radishes&quot;, &quot;kg_produced_Radishes&quot;, &quot;kcal_produced_Tree nuts&quot;, &quot;kg_produced_Tree nuts&quot;, &quot;kcal_produced_Other grain&quot;, &quot;kg_produced_Other grain&quot;, &quot;kcal_produced_Broccoli and cauliflower&quot;, &quot;kg_produced_Broccoli and cauliflower&quot;, &quot;kcal_produced_Stone fruits&quot;, &quot;kg_produced_Stone fruits&quot;, &quot;kcal_produced_Berries&quot;, &quot;kg_produced_Berries&quot;, &quot;kcal_produced_Legumes&quot;, &quot;kg_produced_Legumes&quot;, &quot;kcal_produced_Melons&quot;, &quot;kg_produced_Melons&quot;, &quot;kcal_produced_Bananas&quot;, &quot;kg_produced_Bananas&quot;, &quot;kcal_produced_Tropical fruits&quot;, &quot;kg_produced_Tropical fruits&quot;, &quot;kcal_produced_heat_Corn&quot;, &quot;kg_produced_heat_Corn&quot;, &quot;kcal_produced_heat_Rice&quot;, &quot;kg_produced_heat_Rice&quot;, &quot;kcal_produced_heat_Peanuts&quot;, &quot;kg_produced_heat_Peanuts&quot;, &quot;kcal_produced_heat_Sweet corn&quot;, &quot;kg_produced_heat_Sweet corn&quot;, &quot;kcal_produced_heat_Wheat&quot;, &quot;kg_produced_heat_Wheat&quot;, &quot;kcal_produced_heat_Oats&quot;, &quot;kg_produced_heat_Oats&quot;, &quot;kcal_produced_heat_Potatoes&quot;, &quot;kg_produced_heat_Potatoes&quot;, &quot;kcal_produced_heat_Onions&quot;, &quot;kg_produced_heat_Onions&quot;, &quot;kcal_produced_heat_Cucumbers&quot;, &quot;kg_produced_heat_Cucumbers&quot;, &quot;kcal_produced_heat_Green peas&quot;, &quot;kg_produced_heat_Green peas&quot;, &quot;kcal_produced_heat_Tomatoes&quot;, &quot;kg_produced_heat_Tomatoes&quot;, &quot;kcal_produced_heat_Apples&quot;, &quot;kg_produced_heat_Apples&quot;, &quot;kcal_produced_heat_Grapes&quot;, &quot;kg_produced_heat_Grapes&quot;, &quot;kcal_produced_heat_Other citrus fruits&quot;, &quot;kg_produced_heat_Other citrus fruits&quot;, &quot;kcal_produced_heat_Carrots&quot;, &quot;kg_produced_heat_Carrots&quot;, &quot;kcal_produced_heat_Oranges&quot;, &quot;kg_produced_heat_Oranges&quot;, &quot;kcal_produced_heat_Peppers&quot;, &quot;kg_produced_heat_Peppers&quot;, &quot;kcal_produced_heat_Lettuce&quot;, &quot;kg_produced_heat_Lettuce&quot;, &quot;kcal_produced_heat_Cabbage&quot;, &quot;kg_produced_heat_Cabbage&quot;, &quot;kcal_produced_heat_Celery&quot;, &quot;kg_produced_heat_Celery&quot;, &quot;kcal_produced_heat_Radishes&quot;, &quot;kg_produced_heat_Radishes&quot;, &quot;kcal_produced_heat_Tree nuts&quot;, &quot;kg_produced_heat_Tree nuts&quot;, &quot;kcal_produced_heat_Other grain&quot;, &quot;kg_produced_heat_Other grain&quot;, &quot;kcal_produced_heat_Broccoli and cauliflower&quot;, &quot;kg_produced_heat_Broccoli and cauliflower&quot;, &quot;kcal_produced_heat_Stone fruits&quot;, &quot;kg_produced_heat_Stone fruits&quot;, &quot;kcal_produced_heat_Berries&quot;, &quot;kg_produced_heat_Berries&quot;, &quot;kcal_produced_heat_Legumes&quot;, &quot;kg_produced_heat_Legumes&quot;, &quot;kcal_produced_heat_Melons&quot;, &quot;kg_produced_heat_Melons&quot;, &quot;kcal_produced_heat_Bananas&quot;, &quot;kg_produced_heat_Bananas&quot;, &quot;kcal_produced_heat_Tropical fruits&quot;, &quot;kg_produced_heat_Tropical fruits&quot;, &quot;kcal_produced_drought_Corn&quot;, &quot;kg_produced_drought_Corn&quot;, &quot;kcal_produced_drought_Rice&quot;, &quot;kg_produced_drought_Rice&quot;, &quot;kcal_produced_drought_Peanuts&quot;, &quot;kg_produced_drought_Peanuts&quot;, &quot;kcal_produced_drought_Sweet corn&quot;, &quot;kg_produced_drought_Sweet corn&quot;, &quot;kcal_produced_drought_Wheat&quot;, &quot;kg_produced_drought_Wheat&quot;, &quot;kcal_produced_drought_Oats&quot;, &quot;kg_produced_drought_Oats&quot;, &quot;kcal_produced_drought_Potatoes&quot;, &quot;kg_produced_drought_Potatoes&quot;, &quot;kcal_produced_drought_Onions&quot;, &quot;kg_produced_drought_Onions&quot;, &quot;kcal_produced_drought_Cucumbers&quot;, &quot;kg_produced_drought_Cucumbers&quot;, &quot;kcal_produced_drought_Green peas&quot;, &quot;kg_produced_drought_Green peas&quot;, &quot;kcal_produced_drought_Tomatoes&quot;, &quot;kg_produced_drought_Tomatoes&quot;, &quot;kcal_produced_drought_Apples&quot;, &quot;kg_produced_drought_Apples&quot;, &quot;kcal_produced_drought_Grapes&quot;, &quot;kg_produced_drought_Grapes&quot;, &quot;kcal_produced_drought_Other citrus fruits&quot;, &quot;kg_produced_drought_Other citrus fruits&quot;, &quot;kcal_produced_drought_Carrots&quot;, &quot;kg_produced_drought_Carrots&quot;, &quot;kcal_produced_drought_Oranges&quot;, &quot;kg_produced_drought_Oranges&quot;, &quot;kcal_produced_drought_Peppers&quot;, &quot;kg_produced_drought_Peppers&quot;, &quot;kcal_produced_drought_Lettuce&quot;, &quot;kg_produced_drought_Lettuce&quot;, &quot;kcal_produced_drought_Cabbage&quot;, &quot;kg_produced_drought_Cabbage&quot;, &quot;kcal_produced_drought_Celery&quot;, &quot;kg_produced_drought_Celery&quot;, &quot;kcal_produced_drought_Radishes&quot;, &quot;kg_produced_drought_Radishes&quot;, &quot;kcal_produced_drought_Tree nuts&quot;, &quot;kg_produced_drought_Tree nuts&quot;, &quot;kcal_produced_drought_Other grain&quot;, &quot;kg_produced_drought_Other grain&quot;, &quot;kcal_produced_drought_Broccoli and cauliflower&quot;, &quot;kg_produced_drought_Broccoli and cauliflower&quot;, &quot;kcal_produced_drought_Stone fruits&quot;, &quot;kg_produced_drought_Stone fruits&quot;, &quot;kcal_produced_drought_Berries&quot;, &quot;kg_produced_drought_Berries&quot;, &quot;kcal_produced_drought_Legumes&quot;, &quot;kg_produced_drought_Legumes&quot;, &quot;kcal_produced_drought_Melons&quot;, &quot;kg_produced_drought_Melons&quot;, &quot;kcal_produced_drought_Bananas&quot;, &quot;kg_produced_drought_Bananas&quot;, &quot;kcal_produced_drought_Tropical fruits&quot;, &quot;kg_produced_drought_Tropical fruits&quot;];\n",
       "    let table = &#x27;&lt;table&gt;&#x27; +\n",
       "        String(\n",
       "        fields.map(\n",
       "        (v,i)=&gt;\n",
       "        `&lt;tr&gt;\n",
       "            &lt;th&gt;${aliases[i]}&lt;/th&gt;\n",
       "            \n",
       "            &lt;td&gt;${handleObject(layer.feature.properties[v])}&lt;/td&gt;\n",
       "        &lt;/tr&gt;`).join(&#x27;&#x27;))\n",
       "    +&#x27;&lt;/table&gt;&#x27;;\n",
       "    div.innerHTML=table;\n",
       "    \n",
       "    return div\n",
       "    }\n",
       "    ,{&quot;className&quot;: &quot;foliumtooltip&quot;, &quot;sticky&quot;: true});\n",
       "                     \n",
       "&lt;/script&gt;\n",
       "&lt;/html&gt;\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
      ],
      "text/plain": [
       "<folium.folium.Map at 0x2939f1ea0>"
      ]
     },
     "execution_count": 168,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# set geometry of scaled_production to be the geometry column\n",
    "scaled_production = scaled_production.set_geometry('geometry')\n",
    "scaled_production.set_crs(epsg=4326, inplace=True)\n",
    "scaled_production.head(10).explore()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 169,
   "metadata": {},
   "outputs": [],
   "source": [
    "scaled_production.to_file(\"./output-data/county-population-consumption-production-scaled-with-impacts.geojson\", driver='GeoJSON')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 170,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "For layer 0, using name \"countypopulationconsumptionproductionscaledwithimpacts\"\n",
      "3108 features, 14113612 bytes of geometry, 5102955 bytes of string pool\n",
      "Choosing a maxzoom of -z1 for features typically 141317 feet (43074 meters) apart, and at least 37841 feet (11534 meters) apart\n",
      "Choosing a maxzoom of -z7 for resolution of about 2877 feet (877 meters) within features\n",
      "tile 0/0/0 size is 5434110 with detail 12, >500000    \n",
      "Going to try keeping the sparsest 8.28% of the features to make it fit\n",
      "tile 0/0/0 size is 511258 with detail 12, >500000    \n",
      "Going to try keeping the sparsest 7.29% of the features to make it fit\n",
      "tile 1/0/0 size is 5480763 with detail 12, >500000    \n",
      "Going to try keeping the sparsest 8.21% of the features to make it fit\n",
      "tile 1/0/0 size is 518202 with detail 12, >500000    \n",
      "Going to try keeping the sparsest 7.13% of the features to make it fit\n",
      "tile 2/0/1 size is 3147170 with detail 12, >500000    \n",
      "Going to try keeping the sparsest 14.30% of the features to make it fit\n",
      "tile 2/1/1 size is 3210646 with detail 12, >500000    \n",
      "Going to try keeping the sparsest 14.02% of the features to make it fit\n",
      "tile 2/0/1 size is 509560 with detail 12, >500000    \n",
      "Going to try keeping the sparsest 12.63% of the features to make it fit\n",
      "tile 2/1/1 size is 505104 with detail 12, >500000    \n",
      "Going to try keeping the sparsest 12.49% of the features to make it fit\n",
      "tile 3/2/2 size is 968153 with detail 12, >500000    \n",
      "Going to try keeping the sparsest 46.48% of the features to make it fit\n",
      "tile 3/1/2 size is 1324237 with detail 12, >500000    \n",
      "Going to try keeping the sparsest 33.98% of the features to make it fit\n",
      "tile 3/1/3 size is 2072104 with detail 12, >500000    \n",
      "Going to try keeping the sparsest 21.72% of the features to make it fit\n",
      "tile 3/2/3 size is 2593339 with detail 12, >500000    \n",
      "Going to try keeping the sparsest 17.35% of the features to make it fit\n",
      "tile 3/1/3 size is 504529 with detail 12, >500000    \n",
      "Going to try keeping the sparsest 19.37% of the features to make it fit\n",
      "tile 3/2/3 size is 511346 with detail 12, >500000    \n",
      "Going to try keeping the sparsest 15.27% of the features to make it fit\n",
      "tile 4/4/5 size is 889695 with detail 12, >500000    \n",
      "Going to try keeping the sparsest 50.58% of the features to make it fit\n",
      "tile 4/3/5 size is 1012489 with detail 12, >500000    \n",
      "Going to try keeping the sparsest 44.44% of the features to make it fit\n",
      "tile 4/3/6 size is 1816007 with detail 12, >500000    \n",
      "Going to try keeping the sparsest 24.78% of the features to make it fit\n",
      "tile 4/4/6 size is 2494537 with detail 12, >500000    \n",
      "Going to try keeping the sparsest 18.04% of the features to make it fit\n",
      "tile 4/4/6 size is 518114 with detail 12, >500000    \n",
      "Going to try keeping the sparsest 15.67% of the features to make it fit\n",
      "tile 5/9/12 size is 524963 with detail 12, >500000    \n",
      "Going to try keeping the sparsest 85.72% of the features to make it fit\n",
      "tile 5/7/11 size is 740950 with detail 12, >500000    \n",
      "Going to try keeping the sparsest 60.73% of the features to make it fit\n",
      "tile 5/7/12 size is 1146137 with detail 12, >500000    \n",
      "Going to try keeping the sparsest 39.26% of the features to make it fit\n",
      "tile 5/8/12 size is 1820449 with detail 12, >500000    \n",
      "Going to try keeping the sparsest 24.72% of the features to make it fit\n",
      "tile 5/8/11 size is 510270 with detail 12, >500000    \n",
      "Going to try keeping the sparsest 88.19% of the features to make it fit\n",
      "tile 5/8/12 size is 512512 with detail 12, >500000    \n",
      "Going to try keeping the sparsest 21.70% of the features to make it fit\n",
      "tile 6/16/25 size is 516677 with detail 12, >500000    \n",
      "Going to try keeping the sparsest 87.10% of the features to make it fit\n",
      "tile 6/17/24 size is 557287 with detail 12, >500000    \n",
      "Going to try keeping the sparsest 80.75% of the features to make it fit\n",
      "tile 6/17/25 size is 550782 with detail 12, >500000    \n",
      "Going to try keeping the sparsest 81.70% of the features to make it fit\n",
      "tile 6/16/24 size is 535150 with detail 12, >500000    \n",
      "Going to try keeping the sparsest 84.09% of the features to make it fit\n",
      "  99.4%  7/32/50  \n"
     ]
    }
   ],
   "source": [
    "!tippecanoe -zg -o ./output-data/county-population-consumption-production-scaled-with-impacts.mbtiles --detect-shared-borders --coalesce-densest-as-needed --extend-zooms-if-still-dropping ./output-data/county-population-consumption-production-scaled-with-impacts.geojson"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "geo",
   "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": "3.10.10"
  },
  "orig_nbformat": 4
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 "nbformat": 4,
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