Group_Assign2/Assign2_final0.ipynb

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  {
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   "outputs": [
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     "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>county</th>\n",
       "      <th>county_ascii</th>\n",
       "      <th>county_full</th>\n",
       "      <th>county_fips</th>\n",
       "      <th>state_id</th>\n",
       "      <th>state_name</th>\n",
       "      <th>lat</th>\n",
       "      <th>lng</th>\n",
       "      <th>population</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>King</td>\n",
       "      <td>King</td>\n",
       "      <td>King County</td>\n",
       "      <td>53033</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>47.4902</td>\n",
       "      <td>-121.8052</td>\n",
       "      <td>2240876</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Pierce</td>\n",
       "      <td>Pierce</td>\n",
       "      <td>Pierce County</td>\n",
       "      <td>53053</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>47.0241</td>\n",
       "      <td>-122.1046</td>\n",
       "      <td>910225</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Snohomish</td>\n",
       "      <td>Snohomish</td>\n",
       "      <td>Snohomish County</td>\n",
       "      <td>53061</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>48.0475</td>\n",
       "      <td>-121.6975</td>\n",
       "      <td>820024</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Spokane</td>\n",
       "      <td>Spokane</td>\n",
       "      <td>Spokane County</td>\n",
       "      <td>53063</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>47.6207</td>\n",
       "      <td>-117.4040</td>\n",
       "      <td>531477</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Clark</td>\n",
       "      <td>Clark</td>\n",
       "      <td>Clark County</td>\n",
       "      <td>53011</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>45.7792</td>\n",
       "      <td>-122.4825</td>\n",
       "      <td>496494</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Thurston</td>\n",
       "      <td>Thurston</td>\n",
       "      <td>Thurston County</td>\n",
       "      <td>53067</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>46.9258</td>\n",
       "      <td>-122.8332</td>\n",
       "      <td>290642</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Kitsap</td>\n",
       "      <td>Kitsap</td>\n",
       "      <td>Kitsap County</td>\n",
       "      <td>53035</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>47.6130</td>\n",
       "      <td>-122.6716</td>\n",
       "      <td>273072</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Yakima</td>\n",
       "      <td>Yakima</td>\n",
       "      <td>Yakima County</td>\n",
       "      <td>53077</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>46.4571</td>\n",
       "      <td>-120.7385</td>\n",
       "      <td>255151</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Whatcom</td>\n",
       "      <td>Whatcom</td>\n",
       "      <td>Whatcom County</td>\n",
       "      <td>53073</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>48.8259</td>\n",
       "      <td>-121.7199</td>\n",
       "      <td>224533</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Benton</td>\n",
       "      <td>Benton</td>\n",
       "      <td>Benton County</td>\n",
       "      <td>53005</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>46.2398</td>\n",
       "      <td>-119.5112</td>\n",
       "      <td>204551</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Skagit</td>\n",
       "      <td>Skagit</td>\n",
       "      <td>Skagit County</td>\n",
       "      <td>53057</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>48.4794</td>\n",
       "      <td>-121.7302</td>\n",
       "      <td>128228</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Cowlitz</td>\n",
       "      <td>Cowlitz</td>\n",
       "      <td>Cowlitz County</td>\n",
       "      <td>53015</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>46.1932</td>\n",
       "      <td>-122.6810</td>\n",
       "      <td>109457</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Grant</td>\n",
       "      <td>Grant</td>\n",
       "      <td>Grant County</td>\n",
       "      <td>53025</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>47.2057</td>\n",
       "      <td>-119.4518</td>\n",
       "      <td>97874</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Franklin</td>\n",
       "      <td>Franklin</td>\n",
       "      <td>Franklin County</td>\n",
       "      <td>53021</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>46.5347</td>\n",
       "      <td>-118.8990</td>\n",
       "      <td>95313</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Island</td>\n",
       "      <td>Island</td>\n",
       "      <td>Island County</td>\n",
       "      <td>53029</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>48.1630</td>\n",
       "      <td>-122.5481</td>\n",
       "      <td>85938</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Lewis</td>\n",
       "      <td>Lewis</td>\n",
       "      <td>Lewis County</td>\n",
       "      <td>53041</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>46.5778</td>\n",
       "      <td>-122.3927</td>\n",
       "      <td>81214</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Chelan</td>\n",
       "      <td>Chelan</td>\n",
       "      <td>Chelan County</td>\n",
       "      <td>53007</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>47.8692</td>\n",
       "      <td>-120.6190</td>\n",
       "      <td>78508</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Clallam</td>\n",
       "      <td>Clallam</td>\n",
       "      <td>Clallam County</td>\n",
       "      <td>53009</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>48.0493</td>\n",
       "      <td>-123.9280</td>\n",
       "      <td>76727</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Grays Harbor</td>\n",
       "      <td>Grays Harbor</td>\n",
       "      <td>Grays Harbor County</td>\n",
       "      <td>53027</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>47.1503</td>\n",
       "      <td>-123.7735</td>\n",
       "      <td>74737</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Mason</td>\n",
       "      <td>Mason</td>\n",
       "      <td>Mason County</td>\n",
       "      <td>53045</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>47.3484</td>\n",
       "      <td>-123.1927</td>\n",
       "      <td>64964</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Walla Walla</td>\n",
       "      <td>Walla Walla</td>\n",
       "      <td>Walla Walla County</td>\n",
       "      <td>53071</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>46.2298</td>\n",
       "      <td>-118.4784</td>\n",
       "      <td>62168</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Whitman</td>\n",
       "      <td>Whitman</td>\n",
       "      <td>Whitman County</td>\n",
       "      <td>53075</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>46.9012</td>\n",
       "      <td>-117.5230</td>\n",
       "      <td>48197</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Stevens</td>\n",
       "      <td>Stevens</td>\n",
       "      <td>Stevens County</td>\n",
       "      <td>53065</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>48.3991</td>\n",
       "      <td>-117.8552</td>\n",
       "      <td>46057</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Kittitas</td>\n",
       "      <td>Kittitas</td>\n",
       "      <td>Kittitas County</td>\n",
       "      <td>53037</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>47.1244</td>\n",
       "      <td>-120.6798</td>\n",
       "      <td>44147</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Douglas</td>\n",
       "      <td>Douglas</td>\n",
       "      <td>Douglas County</td>\n",
       "      <td>53017</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>47.7361</td>\n",
       "      <td>-119.6918</td>\n",
       "      <td>42622</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Okanogan</td>\n",
       "      <td>Okanogan</td>\n",
       "      <td>Okanogan County</td>\n",
       "      <td>53047</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>48.5488</td>\n",
       "      <td>-119.7408</td>\n",
       "      <td>41966</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Jefferson</td>\n",
       "      <td>Jefferson</td>\n",
       "      <td>Jefferson County</td>\n",
       "      <td>53031</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>47.7487</td>\n",
       "      <td>-123.5960</td>\n",
       "      <td>32590</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Pacific</td>\n",
       "      <td>Pacific</td>\n",
       "      <td>Pacific County</td>\n",
       "      <td>53049</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>46.5557</td>\n",
       "      <td>-123.7041</td>\n",
       "      <td>22974</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Klickitat</td>\n",
       "      <td>Klickitat</td>\n",
       "      <td>Klickitat County</td>\n",
       "      <td>53039</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>45.8738</td>\n",
       "      <td>-120.7891</td>\n",
       "      <td>22478</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Asotin</td>\n",
       "      <td>Asotin</td>\n",
       "      <td>Asotin County</td>\n",
       "      <td>53003</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>46.1918</td>\n",
       "      <td>-117.2030</td>\n",
       "      <td>22285</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>Adams</td>\n",
       "      <td>Adams</td>\n",
       "      <td>Adams County</td>\n",
       "      <td>53001</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>46.9834</td>\n",
       "      <td>-118.5606</td>\n",
       "      <td>20353</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>San Juan</td>\n",
       "      <td>San Juan</td>\n",
       "      <td>San Juan County</td>\n",
       "      <td>53055</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>48.5782</td>\n",
       "      <td>-122.9650</td>\n",
       "      <td>17631</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>Pend Oreille</td>\n",
       "      <td>Pend Oreille</td>\n",
       "      <td>Pend Oreille County</td>\n",
       "      <td>53051</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>48.5323</td>\n",
       "      <td>-117.2740</td>\n",
       "      <td>13302</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>Skamania</td>\n",
       "      <td>Skamania</td>\n",
       "      <td>Skamania County</td>\n",
       "      <td>53059</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>46.0230</td>\n",
       "      <td>-121.9147</td>\n",
       "      <td>11973</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>Lincoln</td>\n",
       "      <td>Lincoln</td>\n",
       "      <td>Lincoln County</td>\n",
       "      <td>53043</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>47.5763</td>\n",
       "      <td>-118.4187</td>\n",
       "      <td>10798</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>Ferry</td>\n",
       "      <td>Ferry</td>\n",
       "      <td>Ferry County</td>\n",
       "      <td>53019</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>48.4703</td>\n",
       "      <td>-118.5166</td>\n",
       "      <td>7198</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>Wahkiakum</td>\n",
       "      <td>Wahkiakum</td>\n",
       "      <td>Wahkiakum County</td>\n",
       "      <td>53069</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>46.2918</td>\n",
       "      <td>-123.4244</td>\n",
       "      <td>4373</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>Columbia</td>\n",
       "      <td>Columbia</td>\n",
       "      <td>Columbia County</td>\n",
       "      <td>53013</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>46.2975</td>\n",
       "      <td>-117.9078</td>\n",
       "      <td>3969</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>Garfield</td>\n",
       "      <td>Garfield</td>\n",
       "      <td>Garfield County</td>\n",
       "      <td>53023</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>46.4316</td>\n",
       "      <td>-117.5452</td>\n",
       "      <td>2278</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          county  county_ascii          county_full  county_fips state_id  \\\n",
       "0           King          King          King County        53033       WA   \n",
       "1         Pierce        Pierce        Pierce County        53053       WA   \n",
       "2      Snohomish     Snohomish     Snohomish County        53061       WA   \n",
       "3        Spokane       Spokane       Spokane County        53063       WA   \n",
       "4          Clark         Clark         Clark County        53011       WA   \n",
       "5       Thurston      Thurston      Thurston County        53067       WA   \n",
       "6         Kitsap        Kitsap        Kitsap County        53035       WA   \n",
       "7         Yakima        Yakima        Yakima County        53077       WA   \n",
       "8        Whatcom       Whatcom       Whatcom County        53073       WA   \n",
       "9         Benton        Benton        Benton County        53005       WA   \n",
       "10        Skagit        Skagit        Skagit County        53057       WA   \n",
       "11       Cowlitz       Cowlitz       Cowlitz County        53015       WA   \n",
       "12         Grant         Grant         Grant County        53025       WA   \n",
       "13      Franklin      Franklin      Franklin County        53021       WA   \n",
       "14        Island        Island        Island County        53029       WA   \n",
       "15         Lewis         Lewis         Lewis County        53041       WA   \n",
       "16        Chelan        Chelan        Chelan County        53007       WA   \n",
       "17       Clallam       Clallam       Clallam County        53009       WA   \n",
       "18  Grays Harbor  Grays Harbor  Grays Harbor County        53027       WA   \n",
       "19         Mason         Mason         Mason County        53045       WA   \n",
       "20   Walla Walla   Walla Walla   Walla Walla County        53071       WA   \n",
       "21       Whitman       Whitman       Whitman County        53075       WA   \n",
       "22       Stevens       Stevens       Stevens County        53065       WA   \n",
       "23      Kittitas      Kittitas      Kittitas County        53037       WA   \n",
       "24       Douglas       Douglas       Douglas County        53017       WA   \n",
       "25      Okanogan      Okanogan      Okanogan County        53047       WA   \n",
       "26     Jefferson     Jefferson     Jefferson County        53031       WA   \n",
       "27       Pacific       Pacific       Pacific County        53049       WA   \n",
       "28     Klickitat     Klickitat     Klickitat County        53039       WA   \n",
       "29        Asotin        Asotin        Asotin County        53003       WA   \n",
       "30         Adams         Adams         Adams County        53001       WA   \n",
       "31      San Juan      San Juan      San Juan County        53055       WA   \n",
       "32  Pend Oreille  Pend Oreille  Pend Oreille County        53051       WA   \n",
       "33      Skamania      Skamania      Skamania County        53059       WA   \n",
       "34       Lincoln       Lincoln       Lincoln County        53043       WA   \n",
       "35         Ferry         Ferry         Ferry County        53019       WA   \n",
       "36     Wahkiakum     Wahkiakum     Wahkiakum County        53069       WA   \n",
       "37      Columbia      Columbia      Columbia County        53013       WA   \n",
       "38      Garfield      Garfield      Garfield County        53023       WA   \n",
       "\n",
       "    state_name      lat       lng  population  \n",
       "0   Washington  47.4902 -121.8052     2240876  \n",
       "1   Washington  47.0241 -122.1046      910225  \n",
       "2   Washington  48.0475 -121.6975      820024  \n",
       "3   Washington  47.6207 -117.4040      531477  \n",
       "4   Washington  45.7792 -122.4825      496494  \n",
       "5   Washington  46.9258 -122.8332      290642  \n",
       "6   Washington  47.6130 -122.6716      273072  \n",
       "7   Washington  46.4571 -120.7385      255151  \n",
       "8   Washington  48.8259 -121.7199      224533  \n",
       "9   Washington  46.2398 -119.5112      204551  \n",
       "10  Washington  48.4794 -121.7302      128228  \n",
       "11  Washington  46.1932 -122.6810      109457  \n",
       "12  Washington  47.2057 -119.4518       97874  \n",
       "13  Washington  46.5347 -118.8990       95313  \n",
       "14  Washington  48.1630 -122.5481       85938  \n",
       "15  Washington  46.5778 -122.3927       81214  \n",
       "16  Washington  47.8692 -120.6190       78508  \n",
       "17  Washington  48.0493 -123.9280       76727  \n",
       "18  Washington  47.1503 -123.7735       74737  \n",
       "19  Washington  47.3484 -123.1927       64964  \n",
       "20  Washington  46.2298 -118.4784       62168  \n",
       "21  Washington  46.9012 -117.5230       48197  \n",
       "22  Washington  48.3991 -117.8552       46057  \n",
       "23  Washington  47.1244 -120.6798       44147  \n",
       "24  Washington  47.7361 -119.6918       42622  \n",
       "25  Washington  48.5488 -119.7408       41966  \n",
       "26  Washington  47.7487 -123.5960       32590  \n",
       "27  Washington  46.5557 -123.7041       22974  \n",
       "28  Washington  45.8738 -120.7891       22478  \n",
       "29  Washington  46.1918 -117.2030       22285  \n",
       "30  Washington  46.9834 -118.5606       20353  \n",
       "31  Washington  48.5782 -122.9650       17631  \n",
       "32  Washington  48.5323 -117.2740       13302  \n",
       "33  Washington  46.0230 -121.9147       11973  \n",
       "34  Washington  47.5763 -118.4187       10798  \n",
       "35  Washington  48.4703 -118.5166        7198  \n",
       "36  Washington  46.2918 -123.4244        4373  \n",
       "37  Washington  46.2975 -117.9078        3969  \n",
       "38  Washington  46.4316 -117.5452        2278  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import pulp\n",
    "from itertools import chain, combinations\n",
    "import statistics as stats\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "\n",
    "counties_df = pd.read_csv('data/uscounties_geo.csv', header=0)\n",
    "counties_df = counties_df[counties_df['state_id'] == 'WA'].reset_index(drop=True)\n",
    "counties_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>county</th>\n",
       "      <th>county_ascii</th>\n",
       "      <th>county_full</th>\n",
       "      <th>county_fips</th>\n",
       "      <th>state_id</th>\n",
       "      <th>state_name</th>\n",
       "      <th>lat</th>\n",
       "      <th>lng</th>\n",
       "      <th>population</th>\n",
       "      <th>District</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>King</td>\n",
       "      <td>King</td>\n",
       "      <td>King County</td>\n",
       "      <td>53033</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>47.4902</td>\n",
       "      <td>-121.8052</td>\n",
       "      <td>2240876</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Pierce</td>\n",
       "      <td>Pierce</td>\n",
       "      <td>Pierce County</td>\n",
       "      <td>53053</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>47.0241</td>\n",
       "      <td>-122.1046</td>\n",
       "      <td>910225</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Snohomish</td>\n",
       "      <td>Snohomish</td>\n",
       "      <td>Snohomish County</td>\n",
       "      <td>53061</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>48.0475</td>\n",
       "      <td>-121.6975</td>\n",
       "      <td>820024</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Spokane</td>\n",
       "      <td>Spokane</td>\n",
       "      <td>Spokane County</td>\n",
       "      <td>53063</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>47.6207</td>\n",
       "      <td>-117.4040</td>\n",
       "      <td>531477</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Clark</td>\n",
       "      <td>Clark</td>\n",
       "      <td>Clark County</td>\n",
       "      <td>53011</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>45.7792</td>\n",
       "      <td>-122.4825</td>\n",
       "      <td>496494</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Thurston</td>\n",
       "      <td>Thurston</td>\n",
       "      <td>Thurston County</td>\n",
       "      <td>53067</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>46.9258</td>\n",
       "      <td>-122.8332</td>\n",
       "      <td>290642</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Kitsap</td>\n",
       "      <td>Kitsap</td>\n",
       "      <td>Kitsap County</td>\n",
       "      <td>53035</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>47.6130</td>\n",
       "      <td>-122.6716</td>\n",
       "      <td>273072</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Yakima</td>\n",
       "      <td>Yakima</td>\n",
       "      <td>Yakima County</td>\n",
       "      <td>53077</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>46.4571</td>\n",
       "      <td>-120.7385</td>\n",
       "      <td>255151</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Whatcom</td>\n",
       "      <td>Whatcom</td>\n",
       "      <td>Whatcom County</td>\n",
       "      <td>53073</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>48.8259</td>\n",
       "      <td>-121.7199</td>\n",
       "      <td>224533</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Benton</td>\n",
       "      <td>Benton</td>\n",
       "      <td>Benton County</td>\n",
       "      <td>53005</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>46.2398</td>\n",
       "      <td>-119.5112</td>\n",
       "      <td>204551</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Skagit</td>\n",
       "      <td>Skagit</td>\n",
       "      <td>Skagit County</td>\n",
       "      <td>53057</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>48.4794</td>\n",
       "      <td>-121.7302</td>\n",
       "      <td>128228</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Cowlitz</td>\n",
       "      <td>Cowlitz</td>\n",
       "      <td>Cowlitz County</td>\n",
       "      <td>53015</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>46.1932</td>\n",
       "      <td>-122.6810</td>\n",
       "      <td>109457</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Grant</td>\n",
       "      <td>Grant</td>\n",
       "      <td>Grant County</td>\n",
       "      <td>53025</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>47.2057</td>\n",
       "      <td>-119.4518</td>\n",
       "      <td>97874</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Franklin</td>\n",
       "      <td>Franklin</td>\n",
       "      <td>Franklin County</td>\n",
       "      <td>53021</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>46.5347</td>\n",
       "      <td>-118.8990</td>\n",
       "      <td>95313</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Island</td>\n",
       "      <td>Island</td>\n",
       "      <td>Island County</td>\n",
       "      <td>53029</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>48.1630</td>\n",
       "      <td>-122.5481</td>\n",
       "      <td>85938</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Lewis</td>\n",
       "      <td>Lewis</td>\n",
       "      <td>Lewis County</td>\n",
       "      <td>53041</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>46.5778</td>\n",
       "      <td>-122.3927</td>\n",
       "      <td>81214</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Chelan</td>\n",
       "      <td>Chelan</td>\n",
       "      <td>Chelan County</td>\n",
       "      <td>53007</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>47.8692</td>\n",
       "      <td>-120.6190</td>\n",
       "      <td>78508</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Clallam</td>\n",
       "      <td>Clallam</td>\n",
       "      <td>Clallam County</td>\n",
       "      <td>53009</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>48.0493</td>\n",
       "      <td>-123.9280</td>\n",
       "      <td>76727</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Grays Harbor</td>\n",
       "      <td>Grays Harbor</td>\n",
       "      <td>Grays Harbor County</td>\n",
       "      <td>53027</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>47.1503</td>\n",
       "      <td>-123.7735</td>\n",
       "      <td>74737</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Mason</td>\n",
       "      <td>Mason</td>\n",
       "      <td>Mason County</td>\n",
       "      <td>53045</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>47.3484</td>\n",
       "      <td>-123.1927</td>\n",
       "      <td>64964</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Walla Walla</td>\n",
       "      <td>Walla Walla</td>\n",
       "      <td>Walla Walla County</td>\n",
       "      <td>53071</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>46.2298</td>\n",
       "      <td>-118.4784</td>\n",
       "      <td>62168</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Whitman</td>\n",
       "      <td>Whitman</td>\n",
       "      <td>Whitman County</td>\n",
       "      <td>53075</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>46.9012</td>\n",
       "      <td>-117.5230</td>\n",
       "      <td>48197</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Stevens</td>\n",
       "      <td>Stevens</td>\n",
       "      <td>Stevens County</td>\n",
       "      <td>53065</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>48.3991</td>\n",
       "      <td>-117.8552</td>\n",
       "      <td>46057</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Kittitas</td>\n",
       "      <td>Kittitas</td>\n",
       "      <td>Kittitas County</td>\n",
       "      <td>53037</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>47.1244</td>\n",
       "      <td>-120.6798</td>\n",
       "      <td>44147</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Douglas</td>\n",
       "      <td>Douglas</td>\n",
       "      <td>Douglas County</td>\n",
       "      <td>53017</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>47.7361</td>\n",
       "      <td>-119.6918</td>\n",
       "      <td>42622</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Okanogan</td>\n",
       "      <td>Okanogan</td>\n",
       "      <td>Okanogan County</td>\n",
       "      <td>53047</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>48.5488</td>\n",
       "      <td>-119.7408</td>\n",
       "      <td>41966</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Jefferson</td>\n",
       "      <td>Jefferson</td>\n",
       "      <td>Jefferson County</td>\n",
       "      <td>53031</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>47.7487</td>\n",
       "      <td>-123.5960</td>\n",
       "      <td>32590</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Pacific</td>\n",
       "      <td>Pacific</td>\n",
       "      <td>Pacific County</td>\n",
       "      <td>53049</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>46.5557</td>\n",
       "      <td>-123.7041</td>\n",
       "      <td>22974</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Klickitat</td>\n",
       "      <td>Klickitat</td>\n",
       "      <td>Klickitat County</td>\n",
       "      <td>53039</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>45.8738</td>\n",
       "      <td>-120.7891</td>\n",
       "      <td>22478</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Asotin</td>\n",
       "      <td>Asotin</td>\n",
       "      <td>Asotin County</td>\n",
       "      <td>53003</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>46.1918</td>\n",
       "      <td>-117.2030</td>\n",
       "      <td>22285</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>Adams</td>\n",
       "      <td>Adams</td>\n",
       "      <td>Adams County</td>\n",
       "      <td>53001</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>46.9834</td>\n",
       "      <td>-118.5606</td>\n",
       "      <td>20353</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>San Juan</td>\n",
       "      <td>San Juan</td>\n",
       "      <td>San Juan County</td>\n",
       "      <td>53055</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>48.5782</td>\n",
       "      <td>-122.9650</td>\n",
       "      <td>17631</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>Pend Oreille</td>\n",
       "      <td>Pend Oreille</td>\n",
       "      <td>Pend Oreille County</td>\n",
       "      <td>53051</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>48.5323</td>\n",
       "      <td>-117.2740</td>\n",
       "      <td>13302</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>Skamania</td>\n",
       "      <td>Skamania</td>\n",
       "      <td>Skamania County</td>\n",
       "      <td>53059</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>46.0230</td>\n",
       "      <td>-121.9147</td>\n",
       "      <td>11973</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>Lincoln</td>\n",
       "      <td>Lincoln</td>\n",
       "      <td>Lincoln County</td>\n",
       "      <td>53043</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>47.5763</td>\n",
       "      <td>-118.4187</td>\n",
       "      <td>10798</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>Ferry</td>\n",
       "      <td>Ferry</td>\n",
       "      <td>Ferry County</td>\n",
       "      <td>53019</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>48.4703</td>\n",
       "      <td>-118.5166</td>\n",
       "      <td>7198</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>Wahkiakum</td>\n",
       "      <td>Wahkiakum</td>\n",
       "      <td>Wahkiakum County</td>\n",
       "      <td>53069</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>46.2918</td>\n",
       "      <td>-123.4244</td>\n",
       "      <td>4373</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>Columbia</td>\n",
       "      <td>Columbia</td>\n",
       "      <td>Columbia County</td>\n",
       "      <td>53013</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>46.2975</td>\n",
       "      <td>-117.9078</td>\n",
       "      <td>3969</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>Garfield</td>\n",
       "      <td>Garfield</td>\n",
       "      <td>Garfield County</td>\n",
       "      <td>53023</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>46.4316</td>\n",
       "      <td>-117.5452</td>\n",
       "      <td>2278</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          county  county_ascii          county_full  county_fips state_id  \\\n",
       "0           King          King          King County        53033       WA   \n",
       "1         Pierce        Pierce        Pierce County        53053       WA   \n",
       "2      Snohomish     Snohomish     Snohomish County        53061       WA   \n",
       "3        Spokane       Spokane       Spokane County        53063       WA   \n",
       "4          Clark         Clark         Clark County        53011       WA   \n",
       "5       Thurston      Thurston      Thurston County        53067       WA   \n",
       "6         Kitsap        Kitsap        Kitsap County        53035       WA   \n",
       "7         Yakima        Yakima        Yakima County        53077       WA   \n",
       "8        Whatcom       Whatcom       Whatcom County        53073       WA   \n",
       "9         Benton        Benton        Benton County        53005       WA   \n",
       "10        Skagit        Skagit        Skagit County        53057       WA   \n",
       "11       Cowlitz       Cowlitz       Cowlitz County        53015       WA   \n",
       "12         Grant         Grant         Grant County        53025       WA   \n",
       "13      Franklin      Franklin      Franklin County        53021       WA   \n",
       "14        Island        Island        Island County        53029       WA   \n",
       "15         Lewis         Lewis         Lewis County        53041       WA   \n",
       "16        Chelan        Chelan        Chelan County        53007       WA   \n",
       "17       Clallam       Clallam       Clallam County        53009       WA   \n",
       "18  Grays Harbor  Grays Harbor  Grays Harbor County        53027       WA   \n",
       "19         Mason         Mason         Mason County        53045       WA   \n",
       "20   Walla Walla   Walla Walla   Walla Walla County        53071       WA   \n",
       "21       Whitman       Whitman       Whitman County        53075       WA   \n",
       "22       Stevens       Stevens       Stevens County        53065       WA   \n",
       "23      Kittitas      Kittitas      Kittitas County        53037       WA   \n",
       "24       Douglas       Douglas       Douglas County        53017       WA   \n",
       "25      Okanogan      Okanogan      Okanogan County        53047       WA   \n",
       "26     Jefferson     Jefferson     Jefferson County        53031       WA   \n",
       "27       Pacific       Pacific       Pacific County        53049       WA   \n",
       "28     Klickitat     Klickitat     Klickitat County        53039       WA   \n",
       "29        Asotin        Asotin        Asotin County        53003       WA   \n",
       "30         Adams         Adams         Adams County        53001       WA   \n",
       "31      San Juan      San Juan      San Juan County        53055       WA   \n",
       "32  Pend Oreille  Pend Oreille  Pend Oreille County        53051       WA   \n",
       "33      Skamania      Skamania      Skamania County        53059       WA   \n",
       "34       Lincoln       Lincoln       Lincoln County        53043       WA   \n",
       "35         Ferry         Ferry         Ferry County        53019       WA   \n",
       "36     Wahkiakum     Wahkiakum     Wahkiakum County        53069       WA   \n",
       "37      Columbia      Columbia      Columbia County        53013       WA   \n",
       "38      Garfield      Garfield      Garfield County        53023       WA   \n",
       "\n",
       "    state_name      lat       lng  population  District  \n",
       "0   Washington  47.4902 -121.8052     2240876         7  \n",
       "1   Washington  47.0241 -122.1046      910225        10  \n",
       "2   Washington  48.0475 -121.6975      820024         1  \n",
       "3   Washington  47.6207 -117.4040      531477         5  \n",
       "4   Washington  45.7792 -122.4825      496494         3  \n",
       "5   Washington  46.9258 -122.8332      290642        10  \n",
       "6   Washington  47.6130 -122.6716      273072         6  \n",
       "7   Washington  46.4571 -120.7385      255151         4  \n",
       "8   Washington  48.8259 -121.7199      224533         1  \n",
       "9   Washington  46.2398 -119.5112      204551         4  \n",
       "10  Washington  48.4794 -121.7302      128228         2  \n",
       "11  Washington  46.1932 -122.6810      109457         3  \n",
       "12  Washington  47.2057 -119.4518       97874         4  \n",
       "13  Washington  46.5347 -118.8990       95313         4  \n",
       "14  Washington  48.1630 -122.5481       85938         2  \n",
       "15  Washington  46.5778 -122.3927       81214         3  \n",
       "16  Washington  47.8692 -120.6190       78508         8  \n",
       "17  Washington  48.0493 -123.9280       76727         6  \n",
       "18  Washington  47.1503 -123.7735       74737         6  \n",
       "19  Washington  47.3484 -123.1927       64964         6  \n",
       "20  Washington  46.2298 -118.4784       62168         5  \n",
       "21  Washington  46.9012 -117.5230       48197         5  \n",
       "22  Washington  48.3991 -117.8552       46057         5  \n",
       "23  Washington  47.1244 -120.6798       44147         8  \n",
       "24  Washington  47.7361 -119.6918       42622         8  \n",
       "25  Washington  48.5488 -119.7408       41966         4  \n",
       "26  Washington  47.7487 -123.5960       32590         6  \n",
       "27  Washington  46.5557 -123.7041       22974         6  \n",
       "28  Washington  45.8738 -120.7891       22478         3  \n",
       "29  Washington  46.1918 -117.2030       22285         5  \n",
       "30  Washington  46.9834 -118.5606       20353         4  \n",
       "31  Washington  48.5782 -122.9650       17631         2  \n",
       "32  Washington  48.5323 -117.2740       13302         5  \n",
       "33  Washington  46.0230 -121.9147       11973         3  \n",
       "34  Washington  47.5763 -118.4187       10798         5  \n",
       "35  Washington  48.4703 -118.5166        7198         5  \n",
       "36  Washington  46.2918 -123.4244        4373         3  \n",
       "37  Washington  46.2975 -117.9078        3969         5  \n",
       "38  Washington  46.4316 -117.5452        2278         5  "
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "districts_df= pd.read_csv('data/county_districts.csv', header=0)\n",
    "districts_df['county']=districts_df['county'].str.lstrip(' ').str.rstrip(' ')\n",
    "counties_df['county']=counties_df['county'].str.lstrip(' ').str.rstrip(' ')\n",
    "counties_df=counties_df.merge(districts_df, on='county', how='left')\n",
    "counties_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "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>COUNTY</th>\n",
       "      <th>CTYNAME</th>\n",
       "      <th>TOT_POP</th>\n",
       "      <th>WHITE_POP</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>Adams County</td>\n",
       "      <td>165642</td>\n",
       "      <td>145704</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>3</td>\n",
       "      <td>Asotin County</td>\n",
       "      <td>179178</td>\n",
       "      <td>165888</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>5</td>\n",
       "      <td>Benton County</td>\n",
       "      <td>1675328</td>\n",
       "      <td>1501572</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>7</td>\n",
       "      <td>Chelan County</td>\n",
       "      <td>636014</td>\n",
       "      <td>591962</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>9</td>\n",
       "      <td>Clallam County</td>\n",
       "      <td>621528</td>\n",
       "      <td>537626</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>11</td>\n",
       "      <td>Clark County</td>\n",
       "      <td>4075954</td>\n",
       "      <td>3474526</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>13</td>\n",
       "      <td>Columbia County</td>\n",
       "      <td>31884</td>\n",
       "      <td>28776</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>15</td>\n",
       "      <td>Cowlitz County</td>\n",
       "      <td>890726</td>\n",
       "      <td>806168</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>17</td>\n",
       "      <td>Douglas County</td>\n",
       "      <td>347996</td>\n",
       "      <td>320036</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>19</td>\n",
       "      <td>Ferry County</td>\n",
       "      <td>58178</td>\n",
       "      <td>44344</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>21</td>\n",
       "      <td>Franklin County</td>\n",
       "      <td>781386</td>\n",
       "      <td>699244</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>23</td>\n",
       "      <td>Garfield County</td>\n",
       "      <td>18606</td>\n",
       "      <td>17062</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>25</td>\n",
       "      <td>Grant County</td>\n",
       "      <td>800596</td>\n",
       "      <td>730156</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>27</td>\n",
       "      <td>Grays Harbor County</td>\n",
       "      <td>610632</td>\n",
       "      <td>529248</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>29</td>\n",
       "      <td>Island County</td>\n",
       "      <td>696038</td>\n",
       "      <td>591440</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>31</td>\n",
       "      <td>Jefferson County</td>\n",
       "      <td>266376</td>\n",
       "      <td>242286</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>33</td>\n",
       "      <td>King County</td>\n",
       "      <td>18127176</td>\n",
       "      <td>11714772</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>35</td>\n",
       "      <td>Kitsap County</td>\n",
       "      <td>2211342</td>\n",
       "      <td>1814044</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>37</td>\n",
       "      <td>Kittitas County</td>\n",
       "      <td>357690</td>\n",
       "      <td>327504</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>39</td>\n",
       "      <td>Klickitat County</td>\n",
       "      <td>183998</td>\n",
       "      <td>170452</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>41</td>\n",
       "      <td>Lewis County</td>\n",
       "      <td>669306</td>\n",
       "      <td>613284</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>43</td>\n",
       "      <td>Lincoln County</td>\n",
       "      <td>89368</td>\n",
       "      <td>83150</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>45</td>\n",
       "      <td>Mason County</td>\n",
       "      <td>534292</td>\n",
       "      <td>465360</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>47</td>\n",
       "      <td>Okanogan County</td>\n",
       "      <td>340224</td>\n",
       "      <td>278120</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>49</td>\n",
       "      <td>Pacific County</td>\n",
       "      <td>189880</td>\n",
       "      <td>170762</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>51</td>\n",
       "      <td>Pend Oreille County</td>\n",
       "      <td>109990</td>\n",
       "      <td>99738</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>53</td>\n",
       "      <td>Pierce County</td>\n",
       "      <td>7398480</td>\n",
       "      <td>5417388</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>55</td>\n",
       "      <td>San Juan County</td>\n",
       "      <td>145786</td>\n",
       "      <td>136596</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>57</td>\n",
       "      <td>Skagit County</td>\n",
       "      <td>1043022</td>\n",
       "      <td>939068</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>59</td>\n",
       "      <td>Skamania County</td>\n",
       "      <td>97466</td>\n",
       "      <td>86544</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>61</td>\n",
       "      <td>Snohomish County</td>\n",
       "      <td>6667864</td>\n",
       "      <td>5015430</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>63</td>\n",
       "      <td>Spokane County</td>\n",
       "      <td>4351290</td>\n",
       "      <td>3850124</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>65</td>\n",
       "      <td>Stevens County</td>\n",
       "      <td>377638</td>\n",
       "      <td>337208</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>67</td>\n",
       "      <td>Thurston County</td>\n",
       "      <td>2375242</td>\n",
       "      <td>1919370</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>69</td>\n",
       "      <td>Wahkiakum County</td>\n",
       "      <td>36258</td>\n",
       "      <td>33076</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>71</td>\n",
       "      <td>Walla Walla County</td>\n",
       "      <td>498506</td>\n",
       "      <td>454124</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>73</td>\n",
       "      <td>Whatcom County</td>\n",
       "      <td>1823336</td>\n",
       "      <td>1565160</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>75</td>\n",
       "      <td>Whitman County</td>\n",
       "      <td>373264</td>\n",
       "      <td>312788</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>77</td>\n",
       "      <td>Yakima County</td>\n",
       "      <td>2054138</td>\n",
       "      <td>1779572</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    COUNTY              CTYNAME   TOT_POP  WHITE_POP\n",
       "0        1         Adams County    165642     145704\n",
       "1        3        Asotin County    179178     165888\n",
       "2        5        Benton County   1675328    1501572\n",
       "3        7        Chelan County    636014     591962\n",
       "4        9       Clallam County    621528     537626\n",
       "5       11         Clark County   4075954    3474526\n",
       "6       13      Columbia County     31884      28776\n",
       "7       15       Cowlitz County    890726     806168\n",
       "8       17       Douglas County    347996     320036\n",
       "9       19         Ferry County     58178      44344\n",
       "10      21      Franklin County    781386     699244\n",
       "11      23      Garfield County     18606      17062\n",
       "12      25         Grant County    800596     730156\n",
       "13      27  Grays Harbor County    610632     529248\n",
       "14      29        Island County    696038     591440\n",
       "15      31     Jefferson County    266376     242286\n",
       "16      33          King County  18127176   11714772\n",
       "17      35        Kitsap County   2211342    1814044\n",
       "18      37      Kittitas County    357690     327504\n",
       "19      39     Klickitat County    183998     170452\n",
       "20      41         Lewis County    669306     613284\n",
       "21      43       Lincoln County     89368      83150\n",
       "22      45         Mason County    534292     465360\n",
       "23      47      Okanogan County    340224     278120\n",
       "24      49       Pacific County    189880     170762\n",
       "25      51  Pend Oreille County    109990      99738\n",
       "26      53        Pierce County   7398480    5417388\n",
       "27      55      San Juan County    145786     136596\n",
       "28      57        Skagit County   1043022     939068\n",
       "29      59      Skamania County     97466      86544\n",
       "30      61     Snohomish County   6667864    5015430\n",
       "31      63       Spokane County   4351290    3850124\n",
       "32      65       Stevens County    377638     337208\n",
       "33      67      Thurston County   2375242    1919370\n",
       "34      69     Wahkiakum County     36258      33076\n",
       "35      71   Walla Walla County    498506     454124\n",
       "36      73       Whatcom County   1823336    1565160\n",
       "37      75       Whitman County    373264     312788\n",
       "38      77        Yakima County   2054138    1779572"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## white only census\n",
    "census_df = pd.read_csv('data/census_demographics.csv', header=0)\n",
    "census_df['WA_MALE']=pd.to_numeric(census_df['WA_MALE'])\n",
    "census_df['WA_FEMALE']=pd.to_numeric(census_df['WA_FEMALE'])\n",
    "census_df['WHITE_POP']=census_df['WA_MALE']+census_df['WA_FEMALE']\n",
    "census_df = census_df.groupby(['COUNTY', 'CTYNAME'])[['TOT_POP', 'WHITE_POP']].sum().reset_index()\n",
    "census_df['CTYNAME']=census_df['CTYNAME'].str.lstrip(' ').str.rstrip(' ')\n",
    "census_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Adams County    Adams\n",
      "Asotin County    Asotin\n",
      "Benton County    Benton\n",
      "Chelan County    Chelan\n",
      "Clallam County    Clallam\n",
      "Clark County    Clark\n",
      "Columbia County    Columbia\n",
      "Cowlitz County    Cowlitz\n",
      "Douglas County    Douglas\n",
      "Ferry County    Ferry\n",
      "Franklin County    Franklin\n",
      "Garfield County    Garfield\n",
      "Grant County    Grant\n",
      "Grays Harbor County    Grays Harbor\n",
      "Island County    Island\n",
      "Jefferson County    Jefferson\n",
      "King County    King\n",
      "Kitsap County    Kitsap\n",
      "Kittitas County    Kittitas\n",
      "Klickitat County    Klickitat\n",
      "Lewis County    Lewis\n",
      "Lincoln County    Lincoln\n",
      "Mason County    Mason\n",
      "Okanogan County    Okanogan\n",
      "Pacific County    Pacific\n",
      "Pend Oreille County    Pend Oreille\n",
      "Pierce County    Pierce\n",
      "San Juan County    San Juan\n",
      "Skagit County    Skagit\n",
      "Skamania County    Skamania\n",
      "Snohomish County    Snohomish\n",
      "Spokane County    Spokane\n",
      "Stevens County    Stevens\n",
      "Thurston County    Thurston\n",
      "Wahkiakum County    Wahkiakum\n",
      "Walla Walla County    Walla Walla\n",
      "Whatcom County    Whatcom\n",
      "Whitman County    Whitman\n",
      "Yakima County    Yakima\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>county</th>\n",
       "      <th>county_ascii</th>\n",
       "      <th>county_full</th>\n",
       "      <th>county_fips</th>\n",
       "      <th>state_id</th>\n",
       "      <th>state_name</th>\n",
       "      <th>lat</th>\n",
       "      <th>lng</th>\n",
       "      <th>population</th>\n",
       "      <th>District</th>\n",
       "      <th>COUNTY</th>\n",
       "      <th>CTYNAME</th>\n",
       "      <th>TOT_POP</th>\n",
       "      <th>WHITE_POP</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Adams</td>\n",
       "      <td>Adams</td>\n",
       "      <td>Adams County</td>\n",
       "      <td>53001</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>46.9834</td>\n",
       "      <td>-118.5606</td>\n",
       "      <td>20353</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>Adams County</td>\n",
       "      <td>165642</td>\n",
       "      <td>145704</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Asotin</td>\n",
       "      <td>Asotin</td>\n",
       "      <td>Asotin County</td>\n",
       "      <td>53003</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>46.1918</td>\n",
       "      <td>-117.2030</td>\n",
       "      <td>22285</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>Asotin County</td>\n",
       "      <td>179178</td>\n",
       "      <td>165888</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Benton</td>\n",
       "      <td>Benton</td>\n",
       "      <td>Benton County</td>\n",
       "      <td>53005</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>46.2398</td>\n",
       "      <td>-119.5112</td>\n",
       "      <td>204551</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>Benton County</td>\n",
       "      <td>1675328</td>\n",
       "      <td>1501572</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Chelan</td>\n",
       "      <td>Chelan</td>\n",
       "      <td>Chelan County</td>\n",
       "      <td>53007</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>47.8692</td>\n",
       "      <td>-120.6190</td>\n",
       "      <td>78508</td>\n",
       "      <td>8</td>\n",
       "      <td>7</td>\n",
       "      <td>Chelan County</td>\n",
       "      <td>636014</td>\n",
       "      <td>591962</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Clallam</td>\n",
       "      <td>Clallam</td>\n",
       "      <td>Clallam County</td>\n",
       "      <td>53009</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>48.0493</td>\n",
       "      <td>-123.9280</td>\n",
       "      <td>76727</td>\n",
       "      <td>6</td>\n",
       "      <td>9</td>\n",
       "      <td>Clallam County</td>\n",
       "      <td>621528</td>\n",
       "      <td>537626</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Clark</td>\n",
       "      <td>Clark</td>\n",
       "      <td>Clark County</td>\n",
       "      <td>53011</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>45.7792</td>\n",
       "      <td>-122.4825</td>\n",
       "      <td>496494</td>\n",
       "      <td>3</td>\n",
       "      <td>11</td>\n",
       "      <td>Clark County</td>\n",
       "      <td>4075954</td>\n",
       "      <td>3474526</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Columbia</td>\n",
       "      <td>Columbia</td>\n",
       "      <td>Columbia County</td>\n",
       "      <td>53013</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>46.2975</td>\n",
       "      <td>-117.9078</td>\n",
       "      <td>3969</td>\n",
       "      <td>5</td>\n",
       "      <td>13</td>\n",
       "      <td>Columbia County</td>\n",
       "      <td>31884</td>\n",
       "      <td>28776</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Cowlitz</td>\n",
       "      <td>Cowlitz</td>\n",
       "      <td>Cowlitz County</td>\n",
       "      <td>53015</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>46.1932</td>\n",
       "      <td>-122.6810</td>\n",
       "      <td>109457</td>\n",
       "      <td>3</td>\n",
       "      <td>15</td>\n",
       "      <td>Cowlitz County</td>\n",
       "      <td>890726</td>\n",
       "      <td>806168</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Douglas</td>\n",
       "      <td>Douglas</td>\n",
       "      <td>Douglas County</td>\n",
       "      <td>53017</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>47.7361</td>\n",
       "      <td>-119.6918</td>\n",
       "      <td>42622</td>\n",
       "      <td>8</td>\n",
       "      <td>17</td>\n",
       "      <td>Douglas County</td>\n",
       "      <td>347996</td>\n",
       "      <td>320036</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Ferry</td>\n",
       "      <td>Ferry</td>\n",
       "      <td>Ferry County</td>\n",
       "      <td>53019</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>48.4703</td>\n",
       "      <td>-118.5166</td>\n",
       "      <td>7198</td>\n",
       "      <td>5</td>\n",
       "      <td>19</td>\n",
       "      <td>Ferry County</td>\n",
       "      <td>58178</td>\n",
       "      <td>44344</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Franklin</td>\n",
       "      <td>Franklin</td>\n",
       "      <td>Franklin County</td>\n",
       "      <td>53021</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>46.5347</td>\n",
       "      <td>-118.8990</td>\n",
       "      <td>95313</td>\n",
       "      <td>4</td>\n",
       "      <td>21</td>\n",
       "      <td>Franklin County</td>\n",
       "      <td>781386</td>\n",
       "      <td>699244</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Garfield</td>\n",
       "      <td>Garfield</td>\n",
       "      <td>Garfield County</td>\n",
       "      <td>53023</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>46.4316</td>\n",
       "      <td>-117.5452</td>\n",
       "      <td>2278</td>\n",
       "      <td>5</td>\n",
       "      <td>23</td>\n",
       "      <td>Garfield County</td>\n",
       "      <td>18606</td>\n",
       "      <td>17062</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Grant</td>\n",
       "      <td>Grant</td>\n",
       "      <td>Grant County</td>\n",
       "      <td>53025</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>47.2057</td>\n",
       "      <td>-119.4518</td>\n",
       "      <td>97874</td>\n",
       "      <td>4</td>\n",
       "      <td>25</td>\n",
       "      <td>Grant County</td>\n",
       "      <td>800596</td>\n",
       "      <td>730156</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Grays Harbor</td>\n",
       "      <td>Grays Harbor</td>\n",
       "      <td>Grays Harbor County</td>\n",
       "      <td>53027</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>47.1503</td>\n",
       "      <td>-123.7735</td>\n",
       "      <td>74737</td>\n",
       "      <td>6</td>\n",
       "      <td>27</td>\n",
       "      <td>Grays Harbor County</td>\n",
       "      <td>610632</td>\n",
       "      <td>529248</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Island</td>\n",
       "      <td>Island</td>\n",
       "      <td>Island County</td>\n",
       "      <td>53029</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>48.1630</td>\n",
       "      <td>-122.5481</td>\n",
       "      <td>85938</td>\n",
       "      <td>2</td>\n",
       "      <td>29</td>\n",
       "      <td>Island County</td>\n",
       "      <td>696038</td>\n",
       "      <td>591440</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Jefferson</td>\n",
       "      <td>Jefferson</td>\n",
       "      <td>Jefferson County</td>\n",
       "      <td>53031</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>47.7487</td>\n",
       "      <td>-123.5960</td>\n",
       "      <td>32590</td>\n",
       "      <td>6</td>\n",
       "      <td>31</td>\n",
       "      <td>Jefferson County</td>\n",
       "      <td>266376</td>\n",
       "      <td>242286</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>King</td>\n",
       "      <td>King</td>\n",
       "      <td>King County</td>\n",
       "      <td>53033</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>47.4902</td>\n",
       "      <td>-121.8052</td>\n",
       "      <td>2240876</td>\n",
       "      <td>7</td>\n",
       "      <td>33</td>\n",
       "      <td>King County</td>\n",
       "      <td>18127176</td>\n",
       "      <td>11714772</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Kitsap</td>\n",
       "      <td>Kitsap</td>\n",
       "      <td>Kitsap County</td>\n",
       "      <td>53035</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>47.6130</td>\n",
       "      <td>-122.6716</td>\n",
       "      <td>273072</td>\n",
       "      <td>6</td>\n",
       "      <td>35</td>\n",
       "      <td>Kitsap County</td>\n",
       "      <td>2211342</td>\n",
       "      <td>1814044</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Kittitas</td>\n",
       "      <td>Kittitas</td>\n",
       "      <td>Kittitas County</td>\n",
       "      <td>53037</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>47.1244</td>\n",
       "      <td>-120.6798</td>\n",
       "      <td>44147</td>\n",
       "      <td>8</td>\n",
       "      <td>37</td>\n",
       "      <td>Kittitas County</td>\n",
       "      <td>357690</td>\n",
       "      <td>327504</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Klickitat</td>\n",
       "      <td>Klickitat</td>\n",
       "      <td>Klickitat County</td>\n",
       "      <td>53039</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>45.8738</td>\n",
       "      <td>-120.7891</td>\n",
       "      <td>22478</td>\n",
       "      <td>3</td>\n",
       "      <td>39</td>\n",
       "      <td>Klickitat County</td>\n",
       "      <td>183998</td>\n",
       "      <td>170452</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Lewis</td>\n",
       "      <td>Lewis</td>\n",
       "      <td>Lewis County</td>\n",
       "      <td>53041</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>46.5778</td>\n",
       "      <td>-122.3927</td>\n",
       "      <td>81214</td>\n",
       "      <td>3</td>\n",
       "      <td>41</td>\n",
       "      <td>Lewis County</td>\n",
       "      <td>669306</td>\n",
       "      <td>613284</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Lincoln</td>\n",
       "      <td>Lincoln</td>\n",
       "      <td>Lincoln County</td>\n",
       "      <td>53043</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>47.5763</td>\n",
       "      <td>-118.4187</td>\n",
       "      <td>10798</td>\n",
       "      <td>5</td>\n",
       "      <td>43</td>\n",
       "      <td>Lincoln County</td>\n",
       "      <td>89368</td>\n",
       "      <td>83150</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Mason</td>\n",
       "      <td>Mason</td>\n",
       "      <td>Mason County</td>\n",
       "      <td>53045</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>47.3484</td>\n",
       "      <td>-123.1927</td>\n",
       "      <td>64964</td>\n",
       "      <td>6</td>\n",
       "      <td>45</td>\n",
       "      <td>Mason County</td>\n",
       "      <td>534292</td>\n",
       "      <td>465360</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Okanogan</td>\n",
       "      <td>Okanogan</td>\n",
       "      <td>Okanogan County</td>\n",
       "      <td>53047</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>48.5488</td>\n",
       "      <td>-119.7408</td>\n",
       "      <td>41966</td>\n",
       "      <td>4</td>\n",
       "      <td>47</td>\n",
       "      <td>Okanogan County</td>\n",
       "      <td>340224</td>\n",
       "      <td>278120</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Pacific</td>\n",
       "      <td>Pacific</td>\n",
       "      <td>Pacific County</td>\n",
       "      <td>53049</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>46.5557</td>\n",
       "      <td>-123.7041</td>\n",
       "      <td>22974</td>\n",
       "      <td>6</td>\n",
       "      <td>49</td>\n",
       "      <td>Pacific County</td>\n",
       "      <td>189880</td>\n",
       "      <td>170762</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Pend Oreille</td>\n",
       "      <td>Pend Oreille</td>\n",
       "      <td>Pend Oreille County</td>\n",
       "      <td>53051</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>48.5323</td>\n",
       "      <td>-117.2740</td>\n",
       "      <td>13302</td>\n",
       "      <td>5</td>\n",
       "      <td>51</td>\n",
       "      <td>Pend Oreille County</td>\n",
       "      <td>109990</td>\n",
       "      <td>99738</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Pierce</td>\n",
       "      <td>Pierce</td>\n",
       "      <td>Pierce County</td>\n",
       "      <td>53053</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>47.0241</td>\n",
       "      <td>-122.1046</td>\n",
       "      <td>910225</td>\n",
       "      <td>10</td>\n",
       "      <td>53</td>\n",
       "      <td>Pierce County</td>\n",
       "      <td>7398480</td>\n",
       "      <td>5417388</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>San Juan</td>\n",
       "      <td>San Juan</td>\n",
       "      <td>San Juan County</td>\n",
       "      <td>53055</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>48.5782</td>\n",
       "      <td>-122.9650</td>\n",
       "      <td>17631</td>\n",
       "      <td>2</td>\n",
       "      <td>55</td>\n",
       "      <td>San Juan County</td>\n",
       "      <td>145786</td>\n",
       "      <td>136596</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Skagit</td>\n",
       "      <td>Skagit</td>\n",
       "      <td>Skagit County</td>\n",
       "      <td>53057</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>48.4794</td>\n",
       "      <td>-121.7302</td>\n",
       "      <td>128228</td>\n",
       "      <td>2</td>\n",
       "      <td>57</td>\n",
       "      <td>Skagit County</td>\n",
       "      <td>1043022</td>\n",
       "      <td>939068</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Skamania</td>\n",
       "      <td>Skamania</td>\n",
       "      <td>Skamania County</td>\n",
       "      <td>53059</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>46.0230</td>\n",
       "      <td>-121.9147</td>\n",
       "      <td>11973</td>\n",
       "      <td>3</td>\n",
       "      <td>59</td>\n",
       "      <td>Skamania County</td>\n",
       "      <td>97466</td>\n",
       "      <td>86544</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>Snohomish</td>\n",
       "      <td>Snohomish</td>\n",
       "      <td>Snohomish County</td>\n",
       "      <td>53061</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>48.0475</td>\n",
       "      <td>-121.6975</td>\n",
       "      <td>820024</td>\n",
       "      <td>1</td>\n",
       "      <td>61</td>\n",
       "      <td>Snohomish County</td>\n",
       "      <td>6667864</td>\n",
       "      <td>5015430</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>Spokane</td>\n",
       "      <td>Spokane</td>\n",
       "      <td>Spokane County</td>\n",
       "      <td>53063</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>47.6207</td>\n",
       "      <td>-117.4040</td>\n",
       "      <td>531477</td>\n",
       "      <td>5</td>\n",
       "      <td>63</td>\n",
       "      <td>Spokane County</td>\n",
       "      <td>4351290</td>\n",
       "      <td>3850124</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>Stevens</td>\n",
       "      <td>Stevens</td>\n",
       "      <td>Stevens County</td>\n",
       "      <td>53065</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>48.3991</td>\n",
       "      <td>-117.8552</td>\n",
       "      <td>46057</td>\n",
       "      <td>5</td>\n",
       "      <td>65</td>\n",
       "      <td>Stevens County</td>\n",
       "      <td>377638</td>\n",
       "      <td>337208</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>Thurston</td>\n",
       "      <td>Thurston</td>\n",
       "      <td>Thurston County</td>\n",
       "      <td>53067</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>46.9258</td>\n",
       "      <td>-122.8332</td>\n",
       "      <td>290642</td>\n",
       "      <td>10</td>\n",
       "      <td>67</td>\n",
       "      <td>Thurston County</td>\n",
       "      <td>2375242</td>\n",
       "      <td>1919370</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>Wahkiakum</td>\n",
       "      <td>Wahkiakum</td>\n",
       "      <td>Wahkiakum County</td>\n",
       "      <td>53069</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>46.2918</td>\n",
       "      <td>-123.4244</td>\n",
       "      <td>4373</td>\n",
       "      <td>3</td>\n",
       "      <td>69</td>\n",
       "      <td>Wahkiakum County</td>\n",
       "      <td>36258</td>\n",
       "      <td>33076</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>Walla Walla</td>\n",
       "      <td>Walla Walla</td>\n",
       "      <td>Walla Walla County</td>\n",
       "      <td>53071</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>46.2298</td>\n",
       "      <td>-118.4784</td>\n",
       "      <td>62168</td>\n",
       "      <td>5</td>\n",
       "      <td>71</td>\n",
       "      <td>Walla Walla County</td>\n",
       "      <td>498506</td>\n",
       "      <td>454124</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>Whatcom</td>\n",
       "      <td>Whatcom</td>\n",
       "      <td>Whatcom County</td>\n",
       "      <td>53073</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>48.8259</td>\n",
       "      <td>-121.7199</td>\n",
       "      <td>224533</td>\n",
       "      <td>1</td>\n",
       "      <td>73</td>\n",
       "      <td>Whatcom County</td>\n",
       "      <td>1823336</td>\n",
       "      <td>1565160</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>Whitman</td>\n",
       "      <td>Whitman</td>\n",
       "      <td>Whitman County</td>\n",
       "      <td>53075</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>46.9012</td>\n",
       "      <td>-117.5230</td>\n",
       "      <td>48197</td>\n",
       "      <td>5</td>\n",
       "      <td>75</td>\n",
       "      <td>Whitman County</td>\n",
       "      <td>373264</td>\n",
       "      <td>312788</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>Yakima</td>\n",
       "      <td>Yakima</td>\n",
       "      <td>Yakima County</td>\n",
       "      <td>53077</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>46.4571</td>\n",
       "      <td>-120.7385</td>\n",
       "      <td>255151</td>\n",
       "      <td>4</td>\n",
       "      <td>77</td>\n",
       "      <td>Yakima County</td>\n",
       "      <td>2054138</td>\n",
       "      <td>1779572</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          county  county_ascii          county_full  county_fips state_id  \\\n",
       "0          Adams         Adams         Adams County        53001       WA   \n",
       "1         Asotin        Asotin        Asotin County        53003       WA   \n",
       "2         Benton        Benton        Benton County        53005       WA   \n",
       "3         Chelan        Chelan        Chelan County        53007       WA   \n",
       "4        Clallam       Clallam       Clallam County        53009       WA   \n",
       "5          Clark         Clark         Clark County        53011       WA   \n",
       "6       Columbia      Columbia      Columbia County        53013       WA   \n",
       "7        Cowlitz       Cowlitz       Cowlitz County        53015       WA   \n",
       "8        Douglas       Douglas       Douglas County        53017       WA   \n",
       "9          Ferry         Ferry         Ferry County        53019       WA   \n",
       "10      Franklin      Franklin      Franklin County        53021       WA   \n",
       "11      Garfield      Garfield      Garfield County        53023       WA   \n",
       "12         Grant         Grant         Grant County        53025       WA   \n",
       "13  Grays Harbor  Grays Harbor  Grays Harbor County        53027       WA   \n",
       "14        Island        Island        Island County        53029       WA   \n",
       "15     Jefferson     Jefferson     Jefferson County        53031       WA   \n",
       "16          King          King          King County        53033       WA   \n",
       "17        Kitsap        Kitsap        Kitsap County        53035       WA   \n",
       "18      Kittitas      Kittitas      Kittitas County        53037       WA   \n",
       "19     Klickitat     Klickitat     Klickitat County        53039       WA   \n",
       "20         Lewis         Lewis         Lewis County        53041       WA   \n",
       "21       Lincoln       Lincoln       Lincoln County        53043       WA   \n",
       "22         Mason         Mason         Mason County        53045       WA   \n",
       "23      Okanogan      Okanogan      Okanogan County        53047       WA   \n",
       "24       Pacific       Pacific       Pacific County        53049       WA   \n",
       "25  Pend Oreille  Pend Oreille  Pend Oreille County        53051       WA   \n",
       "26        Pierce        Pierce        Pierce County        53053       WA   \n",
       "27      San Juan      San Juan      San Juan County        53055       WA   \n",
       "28        Skagit        Skagit        Skagit County        53057       WA   \n",
       "29      Skamania      Skamania      Skamania County        53059       WA   \n",
       "30     Snohomish     Snohomish     Snohomish County        53061       WA   \n",
       "31       Spokane       Spokane       Spokane County        53063       WA   \n",
       "32       Stevens       Stevens       Stevens County        53065       WA   \n",
       "33      Thurston      Thurston      Thurston County        53067       WA   \n",
       "34     Wahkiakum     Wahkiakum     Wahkiakum County        53069       WA   \n",
       "35   Walla Walla   Walla Walla   Walla Walla County        53071       WA   \n",
       "36       Whatcom       Whatcom       Whatcom County        53073       WA   \n",
       "37       Whitman       Whitman       Whitman County        53075       WA   \n",
       "38        Yakima        Yakima        Yakima County        53077       WA   \n",
       "\n",
       "    state_name      lat       lng  population  District  COUNTY  \\\n",
       "0   Washington  46.9834 -118.5606       20353         4       1   \n",
       "1   Washington  46.1918 -117.2030       22285         5       3   \n",
       "2   Washington  46.2398 -119.5112      204551         4       5   \n",
       "3   Washington  47.8692 -120.6190       78508         8       7   \n",
       "4   Washington  48.0493 -123.9280       76727         6       9   \n",
       "5   Washington  45.7792 -122.4825      496494         3      11   \n",
       "6   Washington  46.2975 -117.9078        3969         5      13   \n",
       "7   Washington  46.1932 -122.6810      109457         3      15   \n",
       "8   Washington  47.7361 -119.6918       42622         8      17   \n",
       "9   Washington  48.4703 -118.5166        7198         5      19   \n",
       "10  Washington  46.5347 -118.8990       95313         4      21   \n",
       "11  Washington  46.4316 -117.5452        2278         5      23   \n",
       "12  Washington  47.2057 -119.4518       97874         4      25   \n",
       "13  Washington  47.1503 -123.7735       74737         6      27   \n",
       "14  Washington  48.1630 -122.5481       85938         2      29   \n",
       "15  Washington  47.7487 -123.5960       32590         6      31   \n",
       "16  Washington  47.4902 -121.8052     2240876         7      33   \n",
       "17  Washington  47.6130 -122.6716      273072         6      35   \n",
       "18  Washington  47.1244 -120.6798       44147         8      37   \n",
       "19  Washington  45.8738 -120.7891       22478         3      39   \n",
       "20  Washington  46.5778 -122.3927       81214         3      41   \n",
       "21  Washington  47.5763 -118.4187       10798         5      43   \n",
       "22  Washington  47.3484 -123.1927       64964         6      45   \n",
       "23  Washington  48.5488 -119.7408       41966         4      47   \n",
       "24  Washington  46.5557 -123.7041       22974         6      49   \n",
       "25  Washington  48.5323 -117.2740       13302         5      51   \n",
       "26  Washington  47.0241 -122.1046      910225        10      53   \n",
       "27  Washington  48.5782 -122.9650       17631         2      55   \n",
       "28  Washington  48.4794 -121.7302      128228         2      57   \n",
       "29  Washington  46.0230 -121.9147       11973         3      59   \n",
       "30  Washington  48.0475 -121.6975      820024         1      61   \n",
       "31  Washington  47.6207 -117.4040      531477         5      63   \n",
       "32  Washington  48.3991 -117.8552       46057         5      65   \n",
       "33  Washington  46.9258 -122.8332      290642        10      67   \n",
       "34  Washington  46.2918 -123.4244        4373         3      69   \n",
       "35  Washington  46.2298 -118.4784       62168         5      71   \n",
       "36  Washington  48.8259 -121.7199      224533         1      73   \n",
       "37  Washington  46.9012 -117.5230       48197         5      75   \n",
       "38  Washington  46.4571 -120.7385      255151         4      77   \n",
       "\n",
       "                CTYNAME   TOT_POP  WHITE_POP  \n",
       "0          Adams County    165642     145704  \n",
       "1         Asotin County    179178     165888  \n",
       "2         Benton County   1675328    1501572  \n",
       "3         Chelan County    636014     591962  \n",
       "4        Clallam County    621528     537626  \n",
       "5          Clark County   4075954    3474526  \n",
       "6       Columbia County     31884      28776  \n",
       "7        Cowlitz County    890726     806168  \n",
       "8        Douglas County    347996     320036  \n",
       "9          Ferry County     58178      44344  \n",
       "10      Franklin County    781386     699244  \n",
       "11      Garfield County     18606      17062  \n",
       "12         Grant County    800596     730156  \n",
       "13  Grays Harbor County    610632     529248  \n",
       "14        Island County    696038     591440  \n",
       "15     Jefferson County    266376     242286  \n",
       "16          King County  18127176   11714772  \n",
       "17        Kitsap County   2211342    1814044  \n",
       "18      Kittitas County    357690     327504  \n",
       "19     Klickitat County    183998     170452  \n",
       "20         Lewis County    669306     613284  \n",
       "21       Lincoln County     89368      83150  \n",
       "22         Mason County    534292     465360  \n",
       "23      Okanogan County    340224     278120  \n",
       "24       Pacific County    189880     170762  \n",
       "25  Pend Oreille County    109990      99738  \n",
       "26        Pierce County   7398480    5417388  \n",
       "27      San Juan County    145786     136596  \n",
       "28        Skagit County   1043022     939068  \n",
       "29      Skamania County     97466      86544  \n",
       "30     Snohomish County   6667864    5015430  \n",
       "31       Spokane County   4351290    3850124  \n",
       "32       Stevens County    377638     337208  \n",
       "33      Thurston County   2375242    1919370  \n",
       "34     Wahkiakum County     36258      33076  \n",
       "35   Walla Walla County    498506     454124  \n",
       "36       Whatcom County   1823336    1565160  \n",
       "37       Whitman County    373264     312788  \n",
       "38        Yakima County   2054138    1779572  "
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# the strings arent joining but I can sort and join on the index\n",
    "counties_df=counties_df.sort_values(by=['county']).reset_index(drop=True)\n",
    "census_df=census_df.sort_values(by=['CTYNAME']).reset_index(drop=True)\n",
    "counties_df=counties_df.merge(census_df, left_index=True, right_index=True, how='left')\n",
    "for i,j in zip( census_df['CTYNAME'].to_list(), counties_df['county'].to_list()):\n",
    "    print(i, '  ', j)\n",
    "\n",
    "counties_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>county</th>\n",
       "      <th>county_ascii</th>\n",
       "      <th>county_full</th>\n",
       "      <th>county_fips</th>\n",
       "      <th>state_id</th>\n",
       "      <th>state_name</th>\n",
       "      <th>lat</th>\n",
       "      <th>lng</th>\n",
       "      <th>population</th>\n",
       "      <th>District</th>\n",
       "      <th>COUNTY</th>\n",
       "      <th>CTYNAME</th>\n",
       "      <th>TOT_POP</th>\n",
       "      <th>WHITE_POP</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>Adams</td>\n",
       "      <td>Adams County</td>\n",
       "      <td>53001</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>46.9834</td>\n",
       "      <td>-118.5606</td>\n",
       "      <td>20353</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>Adams County</td>\n",
       "      <td>165642</td>\n",
       "      <td>145704</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>Asotin</td>\n",
       "      <td>Asotin County</td>\n",
       "      <td>53003</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>46.1918</td>\n",
       "      <td>-117.2030</td>\n",
       "      <td>22285</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>Asotin County</td>\n",
       "      <td>179178</td>\n",
       "      <td>165888</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>Benton</td>\n",
       "      <td>Benton County</td>\n",
       "      <td>53005</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>46.2398</td>\n",
       "      <td>-119.5112</td>\n",
       "      <td>204551</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>Benton County</td>\n",
       "      <td>1675328</td>\n",
       "      <td>1501572</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>Chelan</td>\n",
       "      <td>Chelan County</td>\n",
       "      <td>53007</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>47.8692</td>\n",
       "      <td>-120.6190</td>\n",
       "      <td>78508</td>\n",
       "      <td>8</td>\n",
       "      <td>7</td>\n",
       "      <td>Chelan County</td>\n",
       "      <td>636014</td>\n",
       "      <td>591962</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>Clallam</td>\n",
       "      <td>Clallam County</td>\n",
       "      <td>53009</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>48.0493</td>\n",
       "      <td>-123.9280</td>\n",
       "      <td>76727</td>\n",
       "      <td>6</td>\n",
       "      <td>9</td>\n",
       "      <td>Clallam County</td>\n",
       "      <td>621528</td>\n",
       "      <td>537626</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>5</td>\n",
       "      <td>Clark</td>\n",
       "      <td>Clark County</td>\n",
       "      <td>53011</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>45.7792</td>\n",
       "      <td>-122.4825</td>\n",
       "      <td>496494</td>\n",
       "      <td>3</td>\n",
       "      <td>11</td>\n",
       "      <td>Clark County</td>\n",
       "      <td>4075954</td>\n",
       "      <td>3474526</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>6</td>\n",
       "      <td>Columbia</td>\n",
       "      <td>Columbia County</td>\n",
       "      <td>53013</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>46.2975</td>\n",
       "      <td>-117.9078</td>\n",
       "      <td>3969</td>\n",
       "      <td>5</td>\n",
       "      <td>13</td>\n",
       "      <td>Columbia County</td>\n",
       "      <td>31884</td>\n",
       "      <td>28776</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>7</td>\n",
       "      <td>Cowlitz</td>\n",
       "      <td>Cowlitz County</td>\n",
       "      <td>53015</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>46.1932</td>\n",
       "      <td>-122.6810</td>\n",
       "      <td>109457</td>\n",
       "      <td>3</td>\n",
       "      <td>15</td>\n",
       "      <td>Cowlitz County</td>\n",
       "      <td>890726</td>\n",
       "      <td>806168</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>8</td>\n",
       "      <td>Douglas</td>\n",
       "      <td>Douglas County</td>\n",
       "      <td>53017</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>47.7361</td>\n",
       "      <td>-119.6918</td>\n",
       "      <td>42622</td>\n",
       "      <td>8</td>\n",
       "      <td>17</td>\n",
       "      <td>Douglas County</td>\n",
       "      <td>347996</td>\n",
       "      <td>320036</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>9</td>\n",
       "      <td>Ferry</td>\n",
       "      <td>Ferry County</td>\n",
       "      <td>53019</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>48.4703</td>\n",
       "      <td>-118.5166</td>\n",
       "      <td>7198</td>\n",
       "      <td>5</td>\n",
       "      <td>19</td>\n",
       "      <td>Ferry County</td>\n",
       "      <td>58178</td>\n",
       "      <td>44344</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>10</td>\n",
       "      <td>Franklin</td>\n",
       "      <td>Franklin County</td>\n",
       "      <td>53021</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>46.5347</td>\n",
       "      <td>-118.8990</td>\n",
       "      <td>95313</td>\n",
       "      <td>4</td>\n",
       "      <td>21</td>\n",
       "      <td>Franklin County</td>\n",
       "      <td>781386</td>\n",
       "      <td>699244</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>11</td>\n",
       "      <td>Garfield</td>\n",
       "      <td>Garfield County</td>\n",
       "      <td>53023</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>46.4316</td>\n",
       "      <td>-117.5452</td>\n",
       "      <td>2278</td>\n",
       "      <td>5</td>\n",
       "      <td>23</td>\n",
       "      <td>Garfield County</td>\n",
       "      <td>18606</td>\n",
       "      <td>17062</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>12</td>\n",
       "      <td>Grant</td>\n",
       "      <td>Grant County</td>\n",
       "      <td>53025</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>47.2057</td>\n",
       "      <td>-119.4518</td>\n",
       "      <td>97874</td>\n",
       "      <td>4</td>\n",
       "      <td>25</td>\n",
       "      <td>Grant County</td>\n",
       "      <td>800596</td>\n",
       "      <td>730156</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>13</td>\n",
       "      <td>Grays Harbor</td>\n",
       "      <td>Grays Harbor County</td>\n",
       "      <td>53027</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>47.1503</td>\n",
       "      <td>-123.7735</td>\n",
       "      <td>74737</td>\n",
       "      <td>6</td>\n",
       "      <td>27</td>\n",
       "      <td>Grays Harbor County</td>\n",
       "      <td>610632</td>\n",
       "      <td>529248</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>14</td>\n",
       "      <td>Island</td>\n",
       "      <td>Island County</td>\n",
       "      <td>53029</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>48.1630</td>\n",
       "      <td>-122.5481</td>\n",
       "      <td>85938</td>\n",
       "      <td>2</td>\n",
       "      <td>29</td>\n",
       "      <td>Island County</td>\n",
       "      <td>696038</td>\n",
       "      <td>591440</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>15</td>\n",
       "      <td>Jefferson</td>\n",
       "      <td>Jefferson County</td>\n",
       "      <td>53031</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>47.7487</td>\n",
       "      <td>-123.5960</td>\n",
       "      <td>32590</td>\n",
       "      <td>6</td>\n",
       "      <td>31</td>\n",
       "      <td>Jefferson County</td>\n",
       "      <td>266376</td>\n",
       "      <td>242286</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>16</td>\n",
       "      <td>King</td>\n",
       "      <td>King County</td>\n",
       "      <td>53033</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>47.4902</td>\n",
       "      <td>-121.8052</td>\n",
       "      <td>2240876</td>\n",
       "      <td>7</td>\n",
       "      <td>33</td>\n",
       "      <td>King County</td>\n",
       "      <td>18127176</td>\n",
       "      <td>11714772</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>17</td>\n",
       "      <td>Kitsap</td>\n",
       "      <td>Kitsap County</td>\n",
       "      <td>53035</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>47.6130</td>\n",
       "      <td>-122.6716</td>\n",
       "      <td>273072</td>\n",
       "      <td>6</td>\n",
       "      <td>35</td>\n",
       "      <td>Kitsap County</td>\n",
       "      <td>2211342</td>\n",
       "      <td>1814044</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>18</td>\n",
       "      <td>Kittitas</td>\n",
       "      <td>Kittitas County</td>\n",
       "      <td>53037</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>47.1244</td>\n",
       "      <td>-120.6798</td>\n",
       "      <td>44147</td>\n",
       "      <td>8</td>\n",
       "      <td>37</td>\n",
       "      <td>Kittitas County</td>\n",
       "      <td>357690</td>\n",
       "      <td>327504</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>19</td>\n",
       "      <td>Klickitat</td>\n",
       "      <td>Klickitat County</td>\n",
       "      <td>53039</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>45.8738</td>\n",
       "      <td>-120.7891</td>\n",
       "      <td>22478</td>\n",
       "      <td>3</td>\n",
       "      <td>39</td>\n",
       "      <td>Klickitat County</td>\n",
       "      <td>183998</td>\n",
       "      <td>170452</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>20</td>\n",
       "      <td>Lewis</td>\n",
       "      <td>Lewis County</td>\n",
       "      <td>53041</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>46.5778</td>\n",
       "      <td>-122.3927</td>\n",
       "      <td>81214</td>\n",
       "      <td>3</td>\n",
       "      <td>41</td>\n",
       "      <td>Lewis County</td>\n",
       "      <td>669306</td>\n",
       "      <td>613284</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>21</td>\n",
       "      <td>Lincoln</td>\n",
       "      <td>Lincoln County</td>\n",
       "      <td>53043</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>47.5763</td>\n",
       "      <td>-118.4187</td>\n",
       "      <td>10798</td>\n",
       "      <td>5</td>\n",
       "      <td>43</td>\n",
       "      <td>Lincoln County</td>\n",
       "      <td>89368</td>\n",
       "      <td>83150</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>22</td>\n",
       "      <td>Mason</td>\n",
       "      <td>Mason County</td>\n",
       "      <td>53045</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>47.3484</td>\n",
       "      <td>-123.1927</td>\n",
       "      <td>64964</td>\n",
       "      <td>6</td>\n",
       "      <td>45</td>\n",
       "      <td>Mason County</td>\n",
       "      <td>534292</td>\n",
       "      <td>465360</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>23</td>\n",
       "      <td>Okanogan</td>\n",
       "      <td>Okanogan County</td>\n",
       "      <td>53047</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>48.5488</td>\n",
       "      <td>-119.7408</td>\n",
       "      <td>41966</td>\n",
       "      <td>4</td>\n",
       "      <td>47</td>\n",
       "      <td>Okanogan County</td>\n",
       "      <td>340224</td>\n",
       "      <td>278120</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>24</td>\n",
       "      <td>Pacific</td>\n",
       "      <td>Pacific County</td>\n",
       "      <td>53049</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>46.5557</td>\n",
       "      <td>-123.7041</td>\n",
       "      <td>22974</td>\n",
       "      <td>6</td>\n",
       "      <td>49</td>\n",
       "      <td>Pacific County</td>\n",
       "      <td>189880</td>\n",
       "      <td>170762</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>25</td>\n",
       "      <td>Pend Oreille</td>\n",
       "      <td>Pend Oreille County</td>\n",
       "      <td>53051</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>48.5323</td>\n",
       "      <td>-117.2740</td>\n",
       "      <td>13302</td>\n",
       "      <td>5</td>\n",
       "      <td>51</td>\n",
       "      <td>Pend Oreille County</td>\n",
       "      <td>109990</td>\n",
       "      <td>99738</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>26</td>\n",
       "      <td>Pierce</td>\n",
       "      <td>Pierce County</td>\n",
       "      <td>53053</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>47.0241</td>\n",
       "      <td>-122.1046</td>\n",
       "      <td>910225</td>\n",
       "      <td>10</td>\n",
       "      <td>53</td>\n",
       "      <td>Pierce County</td>\n",
       "      <td>7398480</td>\n",
       "      <td>5417388</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>27</td>\n",
       "      <td>San Juan</td>\n",
       "      <td>San Juan County</td>\n",
       "      <td>53055</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>48.5782</td>\n",
       "      <td>-122.9650</td>\n",
       "      <td>17631</td>\n",
       "      <td>2</td>\n",
       "      <td>55</td>\n",
       "      <td>San Juan County</td>\n",
       "      <td>145786</td>\n",
       "      <td>136596</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>28</td>\n",
       "      <td>Skagit</td>\n",
       "      <td>Skagit County</td>\n",
       "      <td>53057</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>48.4794</td>\n",
       "      <td>-121.7302</td>\n",
       "      <td>128228</td>\n",
       "      <td>2</td>\n",
       "      <td>57</td>\n",
       "      <td>Skagit County</td>\n",
       "      <td>1043022</td>\n",
       "      <td>939068</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>29</td>\n",
       "      <td>Skamania</td>\n",
       "      <td>Skamania County</td>\n",
       "      <td>53059</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>46.0230</td>\n",
       "      <td>-121.9147</td>\n",
       "      <td>11973</td>\n",
       "      <td>3</td>\n",
       "      <td>59</td>\n",
       "      <td>Skamania County</td>\n",
       "      <td>97466</td>\n",
       "      <td>86544</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>30</td>\n",
       "      <td>Snohomish</td>\n",
       "      <td>Snohomish County</td>\n",
       "      <td>53061</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>48.0475</td>\n",
       "      <td>-121.6975</td>\n",
       "      <td>820024</td>\n",
       "      <td>1</td>\n",
       "      <td>61</td>\n",
       "      <td>Snohomish County</td>\n",
       "      <td>6667864</td>\n",
       "      <td>5015430</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>31</td>\n",
       "      <td>Spokane</td>\n",
       "      <td>Spokane County</td>\n",
       "      <td>53063</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>47.6207</td>\n",
       "      <td>-117.4040</td>\n",
       "      <td>531477</td>\n",
       "      <td>5</td>\n",
       "      <td>63</td>\n",
       "      <td>Spokane County</td>\n",
       "      <td>4351290</td>\n",
       "      <td>3850124</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>32</td>\n",
       "      <td>Stevens</td>\n",
       "      <td>Stevens County</td>\n",
       "      <td>53065</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>48.3991</td>\n",
       "      <td>-117.8552</td>\n",
       "      <td>46057</td>\n",
       "      <td>5</td>\n",
       "      <td>65</td>\n",
       "      <td>Stevens County</td>\n",
       "      <td>377638</td>\n",
       "      <td>337208</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>33</td>\n",
       "      <td>Thurston</td>\n",
       "      <td>Thurston County</td>\n",
       "      <td>53067</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>46.9258</td>\n",
       "      <td>-122.8332</td>\n",
       "      <td>290642</td>\n",
       "      <td>10</td>\n",
       "      <td>67</td>\n",
       "      <td>Thurston County</td>\n",
       "      <td>2375242</td>\n",
       "      <td>1919370</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>34</td>\n",
       "      <td>Wahkiakum</td>\n",
       "      <td>Wahkiakum County</td>\n",
       "      <td>53069</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>46.2918</td>\n",
       "      <td>-123.4244</td>\n",
       "      <td>4373</td>\n",
       "      <td>3</td>\n",
       "      <td>69</td>\n",
       "      <td>Wahkiakum County</td>\n",
       "      <td>36258</td>\n",
       "      <td>33076</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>35</td>\n",
       "      <td>Walla Walla</td>\n",
       "      <td>Walla Walla County</td>\n",
       "      <td>53071</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>46.2298</td>\n",
       "      <td>-118.4784</td>\n",
       "      <td>62168</td>\n",
       "      <td>5</td>\n",
       "      <td>71</td>\n",
       "      <td>Walla Walla County</td>\n",
       "      <td>498506</td>\n",
       "      <td>454124</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>36</td>\n",
       "      <td>Whatcom</td>\n",
       "      <td>Whatcom County</td>\n",
       "      <td>53073</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>48.8259</td>\n",
       "      <td>-121.7199</td>\n",
       "      <td>224533</td>\n",
       "      <td>1</td>\n",
       "      <td>73</td>\n",
       "      <td>Whatcom County</td>\n",
       "      <td>1823336</td>\n",
       "      <td>1565160</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>37</td>\n",
       "      <td>Whitman</td>\n",
       "      <td>Whitman County</td>\n",
       "      <td>53075</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>46.9012</td>\n",
       "      <td>-117.5230</td>\n",
       "      <td>48197</td>\n",
       "      <td>5</td>\n",
       "      <td>75</td>\n",
       "      <td>Whitman County</td>\n",
       "      <td>373264</td>\n",
       "      <td>312788</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>38</td>\n",
       "      <td>Yakima</td>\n",
       "      <td>Yakima County</td>\n",
       "      <td>53077</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>46.4571</td>\n",
       "      <td>-120.7385</td>\n",
       "      <td>255151</td>\n",
       "      <td>4</td>\n",
       "      <td>77</td>\n",
       "      <td>Yakima County</td>\n",
       "      <td>2054138</td>\n",
       "      <td>1779572</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    county  county_ascii          county_full  county_fips state_id  \\\n",
       "0        0         Adams         Adams County        53001       WA   \n",
       "1        1        Asotin        Asotin County        53003       WA   \n",
       "2        2        Benton        Benton County        53005       WA   \n",
       "3        3        Chelan        Chelan County        53007       WA   \n",
       "4        4       Clallam       Clallam County        53009       WA   \n",
       "5        5         Clark         Clark County        53011       WA   \n",
       "6        6      Columbia      Columbia County        53013       WA   \n",
       "7        7       Cowlitz       Cowlitz County        53015       WA   \n",
       "8        8       Douglas       Douglas County        53017       WA   \n",
       "9        9         Ferry         Ferry County        53019       WA   \n",
       "10      10      Franklin      Franklin County        53021       WA   \n",
       "11      11      Garfield      Garfield County        53023       WA   \n",
       "12      12         Grant         Grant County        53025       WA   \n",
       "13      13  Grays Harbor  Grays Harbor County        53027       WA   \n",
       "14      14        Island        Island County        53029       WA   \n",
       "15      15     Jefferson     Jefferson County        53031       WA   \n",
       "16      16          King          King County        53033       WA   \n",
       "17      17        Kitsap        Kitsap County        53035       WA   \n",
       "18      18      Kittitas      Kittitas County        53037       WA   \n",
       "19      19     Klickitat     Klickitat County        53039       WA   \n",
       "20      20         Lewis         Lewis County        53041       WA   \n",
       "21      21       Lincoln       Lincoln County        53043       WA   \n",
       "22      22         Mason         Mason County        53045       WA   \n",
       "23      23      Okanogan      Okanogan County        53047       WA   \n",
       "24      24       Pacific       Pacific County        53049       WA   \n",
       "25      25  Pend Oreille  Pend Oreille County        53051       WA   \n",
       "26      26        Pierce        Pierce County        53053       WA   \n",
       "27      27      San Juan      San Juan County        53055       WA   \n",
       "28      28        Skagit        Skagit County        53057       WA   \n",
       "29      29      Skamania      Skamania County        53059       WA   \n",
       "30      30     Snohomish     Snohomish County        53061       WA   \n",
       "31      31       Spokane       Spokane County        53063       WA   \n",
       "32      32       Stevens       Stevens County        53065       WA   \n",
       "33      33      Thurston      Thurston County        53067       WA   \n",
       "34      34     Wahkiakum     Wahkiakum County        53069       WA   \n",
       "35      35   Walla Walla   Walla Walla County        53071       WA   \n",
       "36      36       Whatcom       Whatcom County        53073       WA   \n",
       "37      37       Whitman       Whitman County        53075       WA   \n",
       "38      38        Yakima        Yakima County        53077       WA   \n",
       "\n",
       "    state_name      lat       lng  population  District  COUNTY  \\\n",
       "0   Washington  46.9834 -118.5606       20353         4       1   \n",
       "1   Washington  46.1918 -117.2030       22285         5       3   \n",
       "2   Washington  46.2398 -119.5112      204551         4       5   \n",
       "3   Washington  47.8692 -120.6190       78508         8       7   \n",
       "4   Washington  48.0493 -123.9280       76727         6       9   \n",
       "5   Washington  45.7792 -122.4825      496494         3      11   \n",
       "6   Washington  46.2975 -117.9078        3969         5      13   \n",
       "7   Washington  46.1932 -122.6810      109457         3      15   \n",
       "8   Washington  47.7361 -119.6918       42622         8      17   \n",
       "9   Washington  48.4703 -118.5166        7198         5      19   \n",
       "10  Washington  46.5347 -118.8990       95313         4      21   \n",
       "11  Washington  46.4316 -117.5452        2278         5      23   \n",
       "12  Washington  47.2057 -119.4518       97874         4      25   \n",
       "13  Washington  47.1503 -123.7735       74737         6      27   \n",
       "14  Washington  48.1630 -122.5481       85938         2      29   \n",
       "15  Washington  47.7487 -123.5960       32590         6      31   \n",
       "16  Washington  47.4902 -121.8052     2240876         7      33   \n",
       "17  Washington  47.6130 -122.6716      273072         6      35   \n",
       "18  Washington  47.1244 -120.6798       44147         8      37   \n",
       "19  Washington  45.8738 -120.7891       22478         3      39   \n",
       "20  Washington  46.5778 -122.3927       81214         3      41   \n",
       "21  Washington  47.5763 -118.4187       10798         5      43   \n",
       "22  Washington  47.3484 -123.1927       64964         6      45   \n",
       "23  Washington  48.5488 -119.7408       41966         4      47   \n",
       "24  Washington  46.5557 -123.7041       22974         6      49   \n",
       "25  Washington  48.5323 -117.2740       13302         5      51   \n",
       "26  Washington  47.0241 -122.1046      910225        10      53   \n",
       "27  Washington  48.5782 -122.9650       17631         2      55   \n",
       "28  Washington  48.4794 -121.7302      128228         2      57   \n",
       "29  Washington  46.0230 -121.9147       11973         3      59   \n",
       "30  Washington  48.0475 -121.6975      820024         1      61   \n",
       "31  Washington  47.6207 -117.4040      531477         5      63   \n",
       "32  Washington  48.3991 -117.8552       46057         5      65   \n",
       "33  Washington  46.9258 -122.8332      290642        10      67   \n",
       "34  Washington  46.2918 -123.4244        4373         3      69   \n",
       "35  Washington  46.2298 -118.4784       62168         5      71   \n",
       "36  Washington  48.8259 -121.7199      224533         1      73   \n",
       "37  Washington  46.9012 -117.5230       48197         5      75   \n",
       "38  Washington  46.4571 -120.7385      255151         4      77   \n",
       "\n",
       "                CTYNAME   TOT_POP  WHITE_POP  \n",
       "0          Adams County    165642     145704  \n",
       "1         Asotin County    179178     165888  \n",
       "2         Benton County   1675328    1501572  \n",
       "3         Chelan County    636014     591962  \n",
       "4        Clallam County    621528     537626  \n",
       "5          Clark County   4075954    3474526  \n",
       "6       Columbia County     31884      28776  \n",
       "7        Cowlitz County    890726     806168  \n",
       "8        Douglas County    347996     320036  \n",
       "9          Ferry County     58178      44344  \n",
       "10      Franklin County    781386     699244  \n",
       "11      Garfield County     18606      17062  \n",
       "12         Grant County    800596     730156  \n",
       "13  Grays Harbor County    610632     529248  \n",
       "14        Island County    696038     591440  \n",
       "15     Jefferson County    266376     242286  \n",
       "16          King County  18127176   11714772  \n",
       "17        Kitsap County   2211342    1814044  \n",
       "18      Kittitas County    357690     327504  \n",
       "19     Klickitat County    183998     170452  \n",
       "20         Lewis County    669306     613284  \n",
       "21       Lincoln County     89368      83150  \n",
       "22         Mason County    534292     465360  \n",
       "23      Okanogan County    340224     278120  \n",
       "24       Pacific County    189880     170762  \n",
       "25  Pend Oreille County    109990      99738  \n",
       "26        Pierce County   7398480    5417388  \n",
       "27      San Juan County    145786     136596  \n",
       "28        Skagit County   1043022     939068  \n",
       "29      Skamania County     97466      86544  \n",
       "30     Snohomish County   6667864    5015430  \n",
       "31       Spokane County   4351290    3850124  \n",
       "32       Stevens County    377638     337208  \n",
       "33      Thurston County   2375242    1919370  \n",
       "34     Wahkiakum County     36258      33076  \n",
       "35   Walla Walla County    498506     454124  \n",
       "36       Whatcom County   1823336    1565160  \n",
       "37       Whitman County    373264     312788  \n",
       "38        Yakima County   2054138    1779572  "
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "del counties_df['county']\n",
    "counties_df=counties_df.reset_index(names='county')\n",
    "counties_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Washington has 10 districts\n",
    "max_district = 10\n",
    "counties_df['TOT_POP'] = counties_df['TOT_POP'].astype(\"int\")\n",
    "counties_df['WHITE_POP'] = counties_df['WHITE_POP'].astype(\"int\")\n",
    "counties_df['lat'] = counties_df['lat'].astype(\"float\")\n",
    "counties_df['lng'] = counties_df['lng'].astype(\"float\")\n",
    "\n",
    "max_district = 10\n",
    "max_population = (counties_df['population'].sum() / max_district) * 1.5\n",
    "statewide_white_percentage = counties_df['WHITE_POP'].sum() / counties_df['TOT_POP'].sum()\n",
    "\n",
    "counties_lat_Dic = dict(zip(counties_df.county, counties_df.lat))\n",
    "counties_Long_Dic = dict(zip(counties_df.county, counties_df.lng))\n",
    "counties_Pop_Dic = dict(zip(counties_df.county, counties_df.TOT_POP))\n",
    "counties_WhitePop_Dic = dict(zip(counties_df.county, counties_df.WHITE_POP))\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "county_adjacency = {}\n",
    "with open(\"data/county_adjacency.txt\", 'r', encoding='ISO-8859-1') as file:\n",
    "    lines = file.readlines()\n",
    "\n",
    "for line in lines:\n",
    "    parts = line.strip().split('\\t')\n",
    "    if len(parts) < 4:\n",
    "        continue\n",
    "    county_fips = parts[1]\n",
    "    if county_fips.startswith('53'):\n",
    "        county_name = parts[0].replace('\"', '')\n",
    "        adjacent_county_fips = parts[3]\n",
    "        adjacent_county_name = parts[2].replace('\"', '')\n",
    "        if county_name not in county_adjacency:\n",
    "            county_adjacency[county_name] = []\n",
    "        if adjacent_county_fips.startswith('53'):\n",
    "            county_adjacency[county_name].append(adjacent_county_name)\n",
    "\n",
    "\n",
    "sorted_counties = sorted(county_adjacency.keys())\n",
    "adjacency_matrix = pd.DataFrame(0, index=sorted_counties, columns=sorted_counties, dtype=int)\n",
    "for county, neighbors in county_adjacency.items():\n",
    "    for neighbor in neighbors:\n",
    "        adjacency_matrix.at[county, neighbor] = 1\n",
    "        adjacency_matrix.at[neighbor, county] = 1\n",
    "\n",
    "\n",
    "county_index_to_name_map = counties_df['county'].to_dict()\n",
    "\n",
    "index_to_county_map = {index: county for index, county in enumerate(counties_df['county'])}\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
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       "      <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>9</th>\n",
       "      <td>0</td>\n",
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       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <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>10</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <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>11</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <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>12</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <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>13</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</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>14</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <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>15</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <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>16</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <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>17</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <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>18</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <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>19</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <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>20</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <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>21</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <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>22</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <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>23</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <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>25</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <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>26</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <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>27</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <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>28</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <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>29</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <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>30</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <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>31</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <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>32</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <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>33</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <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>34</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <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>35</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <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>36</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <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>37</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <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>38</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <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>39 rows × 39 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    0   1   2   3   4   5   6   7   8   9   ...  29  30  31  32  33  34  35  \\\n",
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       "\n",
       "    36  37  38  \n",
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       "25   0   0   0  \n",
       "26   0   0   0  \n",
       "27   0   0   0  \n",
       "28   0   0   0  \n",
       "29   0   0   0  \n",
       "30   0   0   0  \n",
       "31   0   0   0  \n",
       "32   0   0   0  \n",
       "33   0   0   0  \n",
       "34   0   0   0  \n",
       "35   0   0   0  \n",
       "36   0   0   0  \n",
       "37   0   0   0  \n",
       "38   0   0   0  \n",
       "\n",
       "[39 rows x 39 columns]"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "adjacency_matrix=adjacency_matrix.sort_index().reset_index(drop=True)\n",
    "adjacency_matrix.columns = counties_df['county'].to_list()\n",
    "adjacency_matrix"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "presolving:\n",
      "Optimal solution found!\n",
      "District (0, 10): 1.0\n",
      "District (0, 21): 1.0\n",
      "District (3, 18): 1.0\n",
      "District (4, 15): 1.0\n",
      "District (7, 20): 1.0\n",
      "District (9, 32): 1.0\n",
      "District (13, 22): 1.0\n",
      "District (13, 33): 1.0\n",
      "District (14, 17): 1.0\n",
      "District (16, 26): 1.0\n",
      "(round 1, fast)       667869 del vars, 12236456 del conss, 0 add conss, 667869 chg bounds, 0 chg sides, 0 chg coeffs, 0 upgd conss, 0 impls, 0 clqs\n",
      "   (30.9s) running MILP presolver\n",
      "   (31.1s) MILP presolver found nothing\n",
      "   (31.1s) probing cycle finished: starting next cycle\n",
      "   (31.1s) symmetry computation started: requiring (bin +, int -, cont +), (fixed: bin -, int +, cont -)\n",
      "   (31.1s) no symmetry present\n",
      "presolving (2 rounds: 2 fast, 1 medium, 1 exhaustive):\n",
      " 667869 deleted vars, 12236456 deleted constraints, 0 added constraints, 667869 tightened bounds, 0 added holes, 0 changed sides, 0 changed coefficients\n",
      " 0 implications, 0 cliques\n",
      "presolved problem has 19 variables (19 bin, 0 int, 0 impl, 0 cont) and 1 constraints\n",
      "      1 constraints of type <linear>\n",
      "Presolving Time: 15.41\n",
      "\n",
      " time | node  | left  |LP iter|LP it/n|mem/heur|mdpt |vars |cons |rows |cuts |sepa|confs|strbr|  dualbound   | primalbound  |  gap   | compl. \n",
      "p31.2s|     1 |     0 |     0 |     - |   locks|   0 |  19 |   1 |   1 |   0 |  0 |   0 |   0 | 0.000000e+00 | 9.109755e+00 |    Inf | unknown\n",
      "*31.2s|     1 |     0 |     1 |     - |    LP  |   0 |  19 |   1 |   1 |   0 |  0 |   0 |   0 | 6.498894e+00 | 6.498894e+00 |   0.00%| unknown\n",
      " 31.2s|     1 |     0 |     1 |     - |  7696M |   0 |  19 |   1 |   1 |   0 |  0 |   0 |   0 | 6.498894e+00 | 6.498894e+00 |   0.00%| unknown\n",
      "\n",
      "SCIP Status        : problem is solved [optimal solution found]\n",
      "Solving Time (sec) : 31.17\n",
      "Solving Nodes      : 1\n",
      "Primal Bound       : +6.49889435550852e+00 (2 solutions)\n",
      "Dual Bound         : +6.49889435550852e+00\n",
      "Gap                : 0.00 %\n"
     ]
    }
   ],
   "source": [
    "from pyscipopt import Model, quicksum\n",
    "from itertools import chain, combinations\n",
    "import statistics as stats\n",
    "\n",
    "\n",
    "def compactness(district):\n",
    "    lat_list = [counties_lat_Dic[county] for county in district]\n",
    "    long_list = [counties_Long_Dic[county] for county in district]\n",
    "\n",
    "    lat_sd = stats.stdev(lat_list)\n",
    "    long_sd = stats.stdev(long_list)\n",
    "\n",
    "    return lat_sd + long_sd\n",
    "\n",
    "\n",
    "def total_pop(district):\n",
    "    pop_list = [counties_Pop_Dic.get(county, 0) for county in district]\n",
    "    return sum(pop_list)\n",
    "\n",
    "\n",
    "def white_pop_percentage(district):\n",
    "    white_pop_list = [counties_WhitePop_Dic.get(county, 0) for county in district]\n",
    "    total_pop_list = [counties_Pop_Dic.get(county, 0) for county in district]\n",
    "    white_pop = sum(white_pop_list)\n",
    "    total_pop = sum(total_pop_list)\n",
    "    return (white_pop / total_pop) if total_pop > 0 else 0\n",
    "\n",
    "min_len = 2\n",
    "max_len = 5\n",
    "counties = counties_df['county'].tolist()\n",
    "possible_districts = list(chain.from_iterable(combinations(counties, i) for i in range(min_len, max_len + 1)))\n",
    "\n",
    "redistrict_model = Model(\"Redistricting Model\")\n",
    "\n",
    "x = {}\n",
    "for district in possible_districts:\n",
    "    x[district] = redistrict_model.addVar(vtype=\"B\", name=\"district_{}\".format(district))\n",
    "\n",
    "objective_terms = [\n",
    "    compactness(district) * x[district] for district in possible_districts\n",
    "] + [\n",
    "    abs(white_pop_percentage(district) - statewide_white_percentage) * x[district] for district in possible_districts\n",
    "]\n",
    "redistrict_model.setObjective(quicksum(objective_terms), \"minimize\")\n",
    "\n",
    "redistrict_model.addCons(quicksum(x[district] for district in possible_districts) == max_district, \"Maximum_number_of_districts\")\n",
    "\n",
    "for district in possible_districts:\n",
    "    for county1 in district:\n",
    "        for county2 in district:\n",
    "            if county1 != county2:\n",
    "                if adjacency_matrix.at[county1, county2] == 0:\n",
    "                    redistrict_model.addCons(x[district] == 0)\n",
    "\n",
    "redistrict_model.optimize()\n",
    "\n",
    "status = redistrict_model.getStatus()\n",
    "if status == \"optimal\":\n",
    "    print(\"Optimal solution found!\")\n",
    "    for district in possible_districts:\n",
    "        if redistrict_model.getVal(x[district]) > 0:\n",
    "            print(f\"District {district}: {redistrict_model.getVal(x[district])}\")\n",
    "else:\n",
    "    print(\"No optimal solution found. Status:\", status)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "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>county</th>\n",
       "      <th>county_ascii</th>\n",
       "      <th>county_full</th>\n",
       "      <th>county_fips</th>\n",
       "      <th>state_id</th>\n",
       "      <th>state_name</th>\n",
       "      <th>lat</th>\n",
       "      <th>lng</th>\n",
       "      <th>population</th>\n",
       "      <th>District</th>\n",
       "      <th>COUNTY</th>\n",
       "      <th>CTYNAME</th>\n",
       "      <th>TOT_POP</th>\n",
       "      <th>WHITE_POP</th>\n",
       "      <th>Optimized_District</th>\n",
       "      <th>Percent_White</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>Adams</td>\n",
       "      <td>Adams County</td>\n",
       "      <td>53001</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>46.9834</td>\n",
       "      <td>-118.5606</td>\n",
       "      <td>20353</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>Adams County</td>\n",
       "      <td>165642</td>\n",
       "      <td>145704</td>\n",
       "      <td>2</td>\n",
       "      <td>0.879632</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>Asotin</td>\n",
       "      <td>Asotin County</td>\n",
       "      <td>53003</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>46.1918</td>\n",
       "      <td>-117.2030</td>\n",
       "      <td>22285</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>Asotin County</td>\n",
       "      <td>179178</td>\n",
       "      <td>165888</td>\n",
       "      <td>5</td>\n",
       "      <td>0.925828</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>Benton</td>\n",
       "      <td>Benton County</td>\n",
       "      <td>53005</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>46.2398</td>\n",
       "      <td>-119.5112</td>\n",
       "      <td>204551</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>Benton County</td>\n",
       "      <td>1675328</td>\n",
       "      <td>1501572</td>\n",
       "      <td>4</td>\n",
       "      <td>0.896285</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>Chelan</td>\n",
       "      <td>Chelan County</td>\n",
       "      <td>53007</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>47.8692</td>\n",
       "      <td>-120.6190</td>\n",
       "      <td>78508</td>\n",
       "      <td>8</td>\n",
       "      <td>7</td>\n",
       "      <td>Chelan County</td>\n",
       "      <td>636014</td>\n",
       "      <td>591962</td>\n",
       "      <td>3</td>\n",
       "      <td>0.930737</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>Clallam</td>\n",
       "      <td>Clallam County</td>\n",
       "      <td>53009</td>\n",
       "      <td>WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>48.0493</td>\n",
       "      <td>-123.9280</td>\n",
       "      <td>76727</td>\n",
       "      <td>6</td>\n",
       "      <td>9</td>\n",
       "      <td>Clallam County</td>\n",
       "      <td>621528</td>\n",
       "      <td>537626</td>\n",
       "      <td>4</td>\n",
       "      <td>0.865007</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   county county_ascii     county_full  county_fips state_id  state_name  \\\n",
       "0       0        Adams    Adams County        53001       WA  Washington   \n",
       "1       1       Asotin   Asotin County        53003       WA  Washington   \n",
       "2       2       Benton   Benton County        53005       WA  Washington   \n",
       "3       3       Chelan   Chelan County        53007       WA  Washington   \n",
       "4       4      Clallam  Clallam County        53009       WA  Washington   \n",
       "\n",
       "       lat       lng  population  District  COUNTY         CTYNAME  TOT_POP  \\\n",
       "0  46.9834 -118.5606       20353         4       1    Adams County   165642   \n",
       "1  46.1918 -117.2030       22285         5       3   Asotin County   179178   \n",
       "2  46.2398 -119.5112      204551         4       5   Benton County  1675328   \n",
       "3  47.8692 -120.6190       78508         8       7   Chelan County   636014   \n",
       "4  48.0493 -123.9280       76727         6       9  Clallam County   621528   \n",
       "\n",
       "   WHITE_POP  Optimized_District  Percent_White  \n",
       "0     145704                   2       0.879632  \n",
       "1     165888                   5       0.925828  \n",
       "2    1501572                   4       0.896285  \n",
       "3     591962                   3       0.930737  \n",
       "4     537626                   4       0.865007  "
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def check_no_change(orig, opt):\n",
    "    if opt == 0:\n",
    "        return orig\n",
    "    else:\n",
    "        return opt\n",
    "    \n",
    "if redistrict_model.getStatus() == 'optimal':\n",
    "    chosen_districts = [district for district in possible_districts if redistrict_model.getVal(x[district]) > 0.5]\n",
    "    county_to_district_map = {}\n",
    "    district_number = 1\n",
    "    for district in chosen_districts:\n",
    "        for county in district:\n",
    "            \n",
    "            county_to_district_map[county] = district_number\n",
    "        district_number += 1\n",
    "        \n",
    "    counties_df['Optimized_District'] = counties_df['county'].apply(lambda c: county_to_district_map.get(c, 0))\n",
    "    \n",
    "    counties_df['Optimized_District'] = counties_df.apply(lambda x: check_no_change(x['District'], x['Optimized_District']), axis=1)\n",
    "    \n",
    "\n",
    "else:\n",
    "    print(\"No optimal solution found. Status:\", redistrict_model.getStatus())\n",
    "\n",
    "counties_df['Percent_White']=counties_df['WHITE_POP']/counties_df['TOT_POP']\n",
    "counties_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>county</th>\n",
       "      <th>NAME</th>\n",
       "      <th>District</th>\n",
       "      <th>Optimized_District</th>\n",
       "      <th>Percent_White</th>\n",
       "      <th>geometry</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2</td>\n",
       "      <td>Benton</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>0.896285</td>\n",
       "      <td>MULTIPOLYGON Z (((-119.87615 46.56757 0.00000,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>4</td>\n",
       "      <td>Clallam</td>\n",
       "      <td>6</td>\n",
       "      <td>4</td>\n",
       "      <td>0.865007</td>\n",
       "      <td>MULTIPOLYGON Z (((-124.60221 48.38693 0.00000,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>5</td>\n",
       "      <td>Clark</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>0.852445</td>\n",
       "      <td>MULTIPOLYGON Z (((-122.79596 45.82502 0.00000,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>7</td>\n",
       "      <td>Cowlitz</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>0.905068</td>\n",
       "      <td>MULTIPOLYGON Z (((-123.21784 46.38513 0.00000,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>12</td>\n",
       "      <td>Grant</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>0.912016</td>\n",
       "      <td>MULTIPOLYGON Z (((-120.04227 47.07625 0.00000,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>15</td>\n",
       "      <td>Jefferson</td>\n",
       "      <td>6</td>\n",
       "      <td>4</td>\n",
       "      <td>0.909564</td>\n",
       "      <td>MULTIPOLYGON Z (((-122.94347 48.12291 0.00000,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>18</td>\n",
       "      <td>Kittitas</td>\n",
       "      <td>8</td>\n",
       "      <td>3</td>\n",
       "      <td>0.915608</td>\n",
       "      <td>MULTIPOLYGON Z (((-121.46618 47.36802 0.00000,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>22</td>\n",
       "      <td>Mason</td>\n",
       "      <td>6</td>\n",
       "      <td>7</td>\n",
       "      <td>0.870984</td>\n",
       "      <td>MULTIPOLYGON Z (((-123.50603 47.34404 0.00000,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>30</td>\n",
       "      <td>Snohomish</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.752179</td>\n",
       "      <td>MULTIPOLYGON Z (((-122.33164 48.02056 0.00000,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>21</td>\n",
       "      <td>Lincoln</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>0.930423</td>\n",
       "      <td>MULTIPOLYGON Z (((-118.97928 47.36417 0.00000,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>23</td>\n",
       "      <td>Okanogan</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>0.817461</td>\n",
       "      <td>MULTIPOLYGON Z (((-120.88572 48.97483 0.00000,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>24</td>\n",
       "      <td>Pacific</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>0.899315</td>\n",
       "      <td>MULTIPOLYGON Z (((-124.09767 46.79409 0.00000,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>28</td>\n",
       "      <td>Skagit</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0.900334</td>\n",
       "      <td>MULTIPOLYGON Z (((-122.53768 48.36366 0.00000,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>38</td>\n",
       "      <td>Yakima</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>0.866335</td>\n",
       "      <td>MULTIPOLYGON Z (((-121.52356 46.38822 0.00000,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>3</td>\n",
       "      <td>Chelan</td>\n",
       "      <td>8</td>\n",
       "      <td>3</td>\n",
       "      <td>0.930737</td>\n",
       "      <td>MULTIPOLYGON Z (((-121.18071 47.89873 0.00000,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>9</td>\n",
       "      <td>Ferry</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "      <td>0.762213</td>\n",
       "      <td>MULTIPOLYGON Z (((-118.86967 48.65360 0.00000,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>14</td>\n",
       "      <td>Island</td>\n",
       "      <td>2</td>\n",
       "      <td>9</td>\n",
       "      <td>0.849724</td>\n",
       "      <td>MULTIPOLYGON Z (((-122.53892 48.20968 0.00000,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>17</td>\n",
       "      <td>Kitsap</td>\n",
       "      <td>6</td>\n",
       "      <td>9</td>\n",
       "      <td>0.820336</td>\n",
       "      <td>MULTIPOLYGON Z (((-122.50492 47.54653 0.00000,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>20</td>\n",
       "      <td>Lewis</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>0.916298</td>\n",
       "      <td>MULTIPOLYGON Z (((-123.37171 46.74263 0.00000,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>26</td>\n",
       "      <td>Pierce</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>0.732230</td>\n",
       "      <td>MULTIPOLYGON Z (((-122.64064 47.14941 0.00000,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>32</td>\n",
       "      <td>Stevens</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "      <td>0.892940</td>\n",
       "      <td>MULTIPOLYGON Z (((-118.40241 48.02638 0.00000,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>36</td>\n",
       "      <td>Whatcom</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.858405</td>\n",
       "      <td>MULTIPOLYGON Z (((-122.59335 48.65142 0.00000,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>10</td>\n",
       "      <td>Franklin</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>0.894877</td>\n",
       "      <td>MULTIPOLYGON Z (((-119.45792 46.67442 0.00000,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>37</td>\n",
       "      <td>Whitman</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>0.837981</td>\n",
       "      <td>MULTIPOLYGON Z (((-118.24912 46.73414 0.00000,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>8</td>\n",
       "      <td>Douglas</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>0.919654</td>\n",
       "      <td>MULTIPOLYGON Z (((-120.31778 47.46275 0.00000,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>27</td>\n",
       "      <td>San Juan</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0.936962</td>\n",
       "      <td>MULTIPOLYGON Z (((-122.76657 48.70780 0.00000,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>33</td>\n",
       "      <td>Thurston</td>\n",
       "      <td>10</td>\n",
       "      <td>8</td>\n",
       "      <td>0.808073</td>\n",
       "      <td>MULTIPOLYGON Z (((-123.20207 47.08490 0.00000,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>0</td>\n",
       "      <td>Adams</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>0.879632</td>\n",
       "      <td>MULTIPOLYGON Z (((-119.36912 46.79559 0.00000,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>13</td>\n",
       "      <td>Grays Harbor</td>\n",
       "      <td>6</td>\n",
       "      <td>8</td>\n",
       "      <td>0.866722</td>\n",
       "      <td>MULTIPOLYGON Z (((-123.88453 46.96579 0.00000,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>16</td>\n",
       "      <td>King</td>\n",
       "      <td>7</td>\n",
       "      <td>10</td>\n",
       "      <td>0.646255</td>\n",
       "      <td>MULTIPOLYGON Z (((-122.43694 47.66172 0.00000,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>19</td>\n",
       "      <td>Klickitat</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>0.926380</td>\n",
       "      <td>MULTIPOLYGON Z (((-121.61274 45.89886 0.00000,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>35</td>\n",
       "      <td>Walla Walla</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>0.910970</td>\n",
       "      <td>MULTIPOLYGON Z (((-119.03992 46.19626 0.00000,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>29</td>\n",
       "      <td>Skamania</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>0.887940</td>\n",
       "      <td>MULTIPOLYGON Z (((-122.25008 45.82261 0.00000,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>34</td>\n",
       "      <td>Wahkiakum</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>0.912240</td>\n",
       "      <td>MULTIPOLYGON Z (((-123.72606 46.38563 0.00000,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>1</td>\n",
       "      <td>Asotin</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>0.925828</td>\n",
       "      <td>MULTIPOLYGON Z (((-117.48013 45.99787 0.00000,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>6</td>\n",
       "      <td>Columbia</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>0.902522</td>\n",
       "      <td>MULTIPOLYGON Z (((-118.24264 46.55975 0.00000,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>25</td>\n",
       "      <td>Pend Oreille</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>0.906792</td>\n",
       "      <td>MULTIPOLYGON Z (((-117.62951 48.74268 0.00000,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>31</td>\n",
       "      <td>Spokane</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>0.884824</td>\n",
       "      <td>MULTIPOLYGON Z (((-117.82316 47.37718 0.00000,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>11</td>\n",
       "      <td>Garfield</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>0.917016</td>\n",
       "      <td>MULTIPOLYGON Z (((-117.86194 46.56007 0.00000,...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    county          NAME  District  Optimized_District  Percent_White  \\\n",
       "0        2        Benton         4                   4       0.896285   \n",
       "1        4       Clallam         6                   4       0.865007   \n",
       "2        5         Clark         3                   3       0.852445   \n",
       "3        7       Cowlitz         3                   5       0.905068   \n",
       "4       12         Grant         4                   4       0.912016   \n",
       "5       15     Jefferson         6                   4       0.909564   \n",
       "6       18      Kittitas         8                   3       0.915608   \n",
       "7       22         Mason         6                   7       0.870984   \n",
       "8       30     Snohomish         1                   1       0.752179   \n",
       "9       21       Lincoln         5                   2       0.930423   \n",
       "10      23      Okanogan         4                   4       0.817461   \n",
       "11      24       Pacific         6                   6       0.899315   \n",
       "12      28        Skagit         2                   2       0.900334   \n",
       "13      38        Yakima         4                   4       0.866335   \n",
       "14       3        Chelan         8                   3       0.930737   \n",
       "15       9         Ferry         5                   6       0.762213   \n",
       "16      14        Island         2                   9       0.849724   \n",
       "17      17        Kitsap         6                   9       0.820336   \n",
       "18      20         Lewis         3                   5       0.916298   \n",
       "19      26        Pierce        10                  10       0.732230   \n",
       "20      32       Stevens         5                   6       0.892940   \n",
       "21      36       Whatcom         1                   1       0.858405   \n",
       "22      10      Franklin         4                   1       0.894877   \n",
       "23      37       Whitman         5                   5       0.837981   \n",
       "24       8       Douglas         8                   8       0.919654   \n",
       "25      27      San Juan         2                   2       0.936962   \n",
       "26      33      Thurston        10                   8       0.808073   \n",
       "27       0         Adams         4                   2       0.879632   \n",
       "28      13  Grays Harbor         6                   8       0.866722   \n",
       "29      16          King         7                  10       0.646255   \n",
       "30      19     Klickitat         3                   3       0.926380   \n",
       "31      35   Walla Walla         5                   5       0.910970   \n",
       "32      29      Skamania         3                   3       0.887940   \n",
       "33      34     Wahkiakum         3                   3       0.912240   \n",
       "34       1        Asotin         5                   5       0.925828   \n",
       "35       6      Columbia         5                   5       0.902522   \n",
       "36      25  Pend Oreille         5                   5       0.906792   \n",
       "37      31       Spokane         5                   5       0.884824   \n",
       "38      11      Garfield         5                   5       0.917016   \n",
       "\n",
       "                                             geometry  \n",
       "0   MULTIPOLYGON Z (((-119.87615 46.56757 0.00000,...  \n",
       "1   MULTIPOLYGON Z (((-124.60221 48.38693 0.00000,...  \n",
       "2   MULTIPOLYGON Z (((-122.79596 45.82502 0.00000,...  \n",
       "3   MULTIPOLYGON Z (((-123.21784 46.38513 0.00000,...  \n",
       "4   MULTIPOLYGON Z (((-120.04227 47.07625 0.00000,...  \n",
       "5   MULTIPOLYGON Z (((-122.94347 48.12291 0.00000,...  \n",
       "6   MULTIPOLYGON Z (((-121.46618 47.36802 0.00000,...  \n",
       "7   MULTIPOLYGON Z (((-123.50603 47.34404 0.00000,...  \n",
       "8   MULTIPOLYGON Z (((-122.33164 48.02056 0.00000,...  \n",
       "9   MULTIPOLYGON Z (((-118.97928 47.36417 0.00000,...  \n",
       "10  MULTIPOLYGON Z (((-120.88572 48.97483 0.00000,...  \n",
       "11  MULTIPOLYGON Z (((-124.09767 46.79409 0.00000,...  \n",
       "12  MULTIPOLYGON Z (((-122.53768 48.36366 0.00000,...  \n",
       "13  MULTIPOLYGON Z (((-121.52356 46.38822 0.00000,...  \n",
       "14  MULTIPOLYGON Z (((-121.18071 47.89873 0.00000,...  \n",
       "15  MULTIPOLYGON Z (((-118.86967 48.65360 0.00000,...  \n",
       "16  MULTIPOLYGON Z (((-122.53892 48.20968 0.00000,...  \n",
       "17  MULTIPOLYGON Z (((-122.50492 47.54653 0.00000,...  \n",
       "18  MULTIPOLYGON Z (((-123.37171 46.74263 0.00000,...  \n",
       "19  MULTIPOLYGON Z (((-122.64064 47.14941 0.00000,...  \n",
       "20  MULTIPOLYGON Z (((-118.40241 48.02638 0.00000,...  \n",
       "21  MULTIPOLYGON Z (((-122.59335 48.65142 0.00000,...  \n",
       "22  MULTIPOLYGON Z (((-119.45792 46.67442 0.00000,...  \n",
       "23  MULTIPOLYGON Z (((-118.24912 46.73414 0.00000,...  \n",
       "24  MULTIPOLYGON Z (((-120.31778 47.46275 0.00000,...  \n",
       "25  MULTIPOLYGON Z (((-122.76657 48.70780 0.00000,...  \n",
       "26  MULTIPOLYGON Z (((-123.20207 47.08490 0.00000,...  \n",
       "27  MULTIPOLYGON Z (((-119.36912 46.79559 0.00000,...  \n",
       "28  MULTIPOLYGON Z (((-123.88453 46.96579 0.00000,...  \n",
       "29  MULTIPOLYGON Z (((-122.43694 47.66172 0.00000,...  \n",
       "30  MULTIPOLYGON Z (((-121.61274 45.89886 0.00000,...  \n",
       "31  MULTIPOLYGON Z (((-119.03992 46.19626 0.00000,...  \n",
       "32  MULTIPOLYGON Z (((-122.25008 45.82261 0.00000,...  \n",
       "33  MULTIPOLYGON Z (((-123.72606 46.38563 0.00000,...  \n",
       "34  MULTIPOLYGON Z (((-117.48013 45.99787 0.00000,...  \n",
       "35  MULTIPOLYGON Z (((-118.24264 46.55975 0.00000,...  \n",
       "36  MULTIPOLYGON Z (((-117.62951 48.74268 0.00000,...  \n",
       "37  MULTIPOLYGON Z (((-117.82316 47.37718 0.00000,...  \n",
       "38  MULTIPOLYGON Z (((-117.86194 46.56007 0.00000,...  "
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import geopandas as gpd\n",
    "\n",
    "geojson_path = 'data/washington-state-counties_.geojson'\n",
    "geojson_gdf = gpd.read_file(geojson_path)\n",
    "counties_df['county_full'] = counties_df['county_full'].str.title()\n",
    "merged_gdf = geojson_gdf.merge(counties_df, left_on='NAME', right_on='county_ascii', how='left')\n",
    "merged_gdf[['county', 'NAME', 'District', 'Optimized_District', 'Percent_White', 'geometry']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 3500x2500 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "from matplotlib.colors import ListedColormap\n",
    "from matplotlib.patches import Patch\n",
    "\n",
    "categorical_colors = ListedColormap(['#1f77b4', '#ff7f0e', '#2ca02c', '#d62728', '#9467bd', '#8c564b', '#e377c2', '#7f7f7f'])\n",
    "\n",
    "legend_handles = [Patch(facecolor=categorical_colors.colors[i], label=f'District {i+1}') for i in range(8)]\n",
    "fig, ax = plt.subplots(1, 3, figsize=(35, 25))\n",
    "\n",
    "geojson_gdf.plot(ax=ax[0], color='white', edgecolor='black')\n",
    "merged_gdf.plot(ax=ax[0], column='District', legend=True, legend_kwds={'shrink': 0.3})\n",
    "ax[0].set_title('Original Districts')\n",
    "ax[0].set_axis_off()\n",
    "\n",
    "geojson_gdf.plot(ax=ax[1], color='white', edgecolor='black')\n",
    "merged_gdf.plot(ax=ax[1], column='Percent_White', cmap='viridis', legend=True, legend_kwds={'shrink': 0.3})\n",
    "ax[1].set_title('Percent White')\n",
    "ax[1].set_axis_off()\n",
    "\n",
    "geojson_gdf.plot(ax=ax[2], color='white', edgecolor='black')\n",
    "merged_gdf.plot(ax=ax[2], column='Optimized_District', legend=True, legend_kwds={'shrink': 0.3})\n",
    "ax[2].set_title('Optimized Districts')\n",
    "ax[2].set_axis_off()\n",
    "\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}