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@turnipsoup
Created November 16, 2020 03:24
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Comparing just how blue/red states were in the 2020 Presidential election. Also has data for WA State by county. Storing here to save code for later.
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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd\n",
"import numpy as np\n",
"import matplotlib.pyplot as plt\n",
"import matplotlib.colors as mcolors\n",
"import seaborn as sns\n",
"import geopandas as gpd"
]
},
{
"cell_type": "code",
"execution_count": 32,
"metadata": {},
"outputs": [],
"source": [
"state_df = pd.read_csv(\"./edata/president_county_candidate.csv\")"
]
},
{
"cell_type": "code",
"execution_count": 33,
"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>state</th>\n",
" <th>county</th>\n",
" <th>candidate</th>\n",
" <th>party</th>\n",
" <th>total_votes</th>\n",
" <th>won</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>Delaware</td>\n",
" <td>Kent County</td>\n",
" <td>Joe Biden</td>\n",
" <td>DEM</td>\n",
" <td>44552</td>\n",
" <td>True</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>Delaware</td>\n",
" <td>Kent County</td>\n",
" <td>Donald Trump</td>\n",
" <td>REP</td>\n",
" <td>41009</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>Delaware</td>\n",
" <td>Kent County</td>\n",
" <td>Jo Jorgensen</td>\n",
" <td>LIB</td>\n",
" <td>1044</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>Delaware</td>\n",
" <td>Kent County</td>\n",
" <td>Howie Hawkins</td>\n",
" <td>GRN</td>\n",
" <td>420</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>Delaware</td>\n",
" <td>New Castle County</td>\n",
" <td>Joe Biden</td>\n",
" <td>DEM</td>\n",
" <td>195034</td>\n",
" <td>True</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>Delaware</td>\n",
" <td>New Castle County</td>\n",
" <td>Donald Trump</td>\n",
" <td>REP</td>\n",
" <td>88364</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>Delaware</td>\n",
" <td>New Castle County</td>\n",
" <td>Jo Jorgensen</td>\n",
" <td>LIB</td>\n",
" <td>2953</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>Delaware</td>\n",
" <td>New Castle County</td>\n",
" <td>Howie Hawkins</td>\n",
" <td>GRN</td>\n",
" <td>1282</td>\n",
" <td>False</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" state county candidate party total_votes won\n",
"0 Delaware Kent County Joe Biden DEM 44552 True\n",
"1 Delaware Kent County Donald Trump REP 41009 False\n",
"2 Delaware Kent County Jo Jorgensen LIB 1044 False\n",
"3 Delaware Kent County Howie Hawkins GRN 420 False\n",
"4 Delaware New Castle County Joe Biden DEM 195034 True\n",
"5 Delaware New Castle County Donald Trump REP 88364 False\n",
"6 Delaware New Castle County Jo Jorgensen LIB 2953 False\n",
"7 Delaware New Castle County Howie Hawkins GRN 1282 False"
]
},
"execution_count": 33,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"state_df.head(8)"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
"def get_single_state(dataframe, state):\n",
" \"\"\"\n",
" Returns section of the main dataframe containing only counties from a single state\n",
" \"\"\"\n",
" return state_df.loc[state_df.state == state]\n",
"\n",
"\n",
"\n",
"def get_election_percent_state(dataframe):\n",
" \"\"\"\n",
" Takes a dataframe slice (df.state == \"<state>\") and returns an object containing the following:\n",
" \n",
" {\n",
" \"state_name\": \"name\",\n",
" \"winner\": \"party\",\n",
" \"dem_votes\": total,\n",
" \"rep_votes\": total,\n",
" \"lib_votes\": total,\n",
" \"wri_votes\": total,\n",
" \"total_votes\": total,\n",
" \"dem_to_rep_ratio\",\n",
" \"state_color\", \"color\"\n",
" }\n",
" \"\"\"\n",
" \n",
" # Sum REP/DEM votes\n",
" dvotes = dataframe.loc[dataframe.party == \"DEM\"].total_votes.sum()\n",
" rvotes = dataframe.loc[dataframe.party == \"REP\"].total_votes.sum()\n",
" lvotes = dataframe.loc[dataframe.party == \"LIB\"].total_votes.sum()\n",
" gvotes = dataframe.loc[dataframe.party == \"GRN\"].total_votes.sum()\n",
" wvotes = dataframe.loc[dataframe.party == \"WRI\"].total_votes.sum()\n",
" \n",
" # Determine winner\n",
" winner = \"DEM\" if dvotes > rvotes else \"REP\"\n",
" color = \"Blue\" if dvotes > rvotes else \"Red\"\n",
" \n",
" \n",
" # Return object\n",
" e_obj = {\n",
" \"winner\": winner,\n",
" \"dem_votes\": dvotes,\n",
" \"rep_votes\": rvotes,\n",
" \"lib_votes\": lvotes,\n",
" \"grn_votes\": gvotes,\n",
" \"wri_votes\": wvotes,\n",
" \"total_votes\": dvotes + rvotes + lvotes + gvotes + wvotes,\n",
" \"dem_to_rep_ratio\": dvotes / rvotes,\n",
" \"state_color\": color\n",
" }\n",
"\n",
" return e_obj\n",
" \n",
"\n",
"def build_state_object(state_df):\n",
" \"\"\"\n",
" Build an object of all states (and DC) with all vote data for DEM/REP and return it.\n",
" \"\"\"\n",
" \n",
" # Instantiate object, get list of all states\n",
" state_obj = {}\n",
" states_list = state_df.state.unique().tolist()\n",
" \n",
" # Iterate over states, combining all results into massive object\n",
" for state in states_list:\n",
" current_state_df = get_single_state(state_df, state)\n",
" state_obj[state] = get_election_percent_state(current_state_df)\n",
" \n",
" \n",
" return state_obj\n",
" "
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [],
"source": [
"results_by_state = build_state_object(state_df)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Now that we have gotta all of our results into a single object, we can now create our first map."
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [],
"source": [
"# Making the results dataframe\n",
"results_df = pd.DataFrame(results_by_state).T\n",
"results_df.reset_index(level=0, inplace=True)\n",
"results_df.rename(columns={\"index\": \"name\"}, inplace=True)"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>name</th>\n",
" <th>winner</th>\n",
" <th>dem_votes</th>\n",
" <th>rep_votes</th>\n",
" <th>lib_votes</th>\n",
" <th>grn_votes</th>\n",
" <th>wri_votes</th>\n",
" <th>total_votes</th>\n",
" <th>dem_to_rep_ratio</th>\n",
" <th>state_color</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>Delaware</td>\n",
" <td>DEM</td>\n",
" <td>296268</td>\n",
" <td>200603</td>\n",
" <td>5000</td>\n",
" <td>2139</td>\n",
" <td>0</td>\n",
" <td>504010</td>\n",
" <td>1.47689</td>\n",
" <td>Blue</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>District of Columbia</td>\n",
" <td>DEM</td>\n",
" <td>307265</td>\n",
" <td>18172</td>\n",
" <td>1977</td>\n",
" <td>1667</td>\n",
" <td>3083</td>\n",
" <td>332164</td>\n",
" <td>16.9087</td>\n",
" <td>Blue</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>Florida</td>\n",
" <td>REP</td>\n",
" <td>5294767</td>\n",
" <td>5667474</td>\n",
" <td>70249</td>\n",
" <td>14707</td>\n",
" <td>12479</td>\n",
" <td>11059676</td>\n",
" <td>0.934238</td>\n",
" <td>Red</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>Georgia</td>\n",
" <td>DEM</td>\n",
" <td>2472182</td>\n",
" <td>2458010</td>\n",
" <td>62060</td>\n",
" <td>0</td>\n",
" <td>457</td>\n",
" <td>4992709</td>\n",
" <td>1.00577</td>\n",
" <td>Blue</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>Hawaii</td>\n",
" <td>DEM</td>\n",
" <td>366070</td>\n",
" <td>196800</td>\n",
" <td>5538</td>\n",
" <td>3819</td>\n",
" <td>0</td>\n",
" <td>572227</td>\n",
" <td>1.86011</td>\n",
" <td>Blue</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" name winner dem_votes rep_votes lib_votes grn_votes \\\n",
"0 Delaware DEM 296268 200603 5000 2139 \n",
"1 District of Columbia DEM 307265 18172 1977 1667 \n",
"2 Florida REP 5294767 5667474 70249 14707 \n",
"3 Georgia DEM 2472182 2458010 62060 0 \n",
"4 Hawaii DEM 366070 196800 5538 3819 \n",
"\n",
" wri_votes total_votes dem_to_rep_ratio state_color \n",
"0 0 504010 1.47689 Blue \n",
"1 3083 332164 16.9087 Blue \n",
"2 12479 11059676 0.934238 Red \n",
"3 457 4992709 1.00577 Blue \n",
"4 0 572227 1.86011 Blue "
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"results_df.head()"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [],
"source": [
"def get_state_abbrv(state_name):\n",
" return us_state_abbrev[state_name]\n",
"\n",
"# US States Map\n",
"us_state_abbrev = {\n",
" 'Alabama': 'AL',\n",
" 'Alaska': 'AK',\n",
" 'American Samoa': 'AS',\n",
" 'Arizona': 'AZ',\n",
" 'Arkansas': 'AR',\n",
" 'California': 'CA',\n",
" 'Colorado': 'CO',\n",
" 'Connecticut': 'CT',\n",
" 'Delaware': 'DE',\n",
"# 'District of Columbia': 'DC', # The ratio of votes is like 17:1 (dem:rep) and throws off the colors, also not a state so not on map\n",
" 'Florida': 'FL',\n",
" 'Georgia': 'GA',\n",
" 'Hawaii': 'HI',\n",
" 'Idaho': 'ID',\n",
" 'Illinois': 'IL',\n",
" 'Indiana': 'IN',\n",
" 'Iowa': 'IA',\n",
" 'Kansas': 'KS',\n",
" 'Kentucky': 'KY',\n",
" 'Louisiana': 'LA',\n",
" 'Maine': 'ME',\n",
" 'Maryland': 'MD',\n",
" 'Massachusetts': 'MA',\n",
" 'Michigan': 'MI',\n",
" 'Minnesota': 'MN',\n",
" 'Mississippi': 'MS',\n",
" 'Missouri': 'MO',\n",
" 'Montana': 'MT',\n",
" 'Nebraska': 'NE',\n",
" 'Nevada': 'NV',\n",
" 'New Hampshire': 'NH',\n",
" 'New Jersey': 'NJ',\n",
" 'New Mexico': 'NM',\n",
" 'New York': 'NY',\n",
" 'North Carolina': 'NC',\n",
" 'North Dakota': 'ND',\n",
" 'Ohio': 'OH',\n",
" 'Oklahoma': 'OK',\n",
" 'Oregon': 'OR',\n",
" 'Pennsylvania': 'PA',\n",
" 'Rhode Island': 'RI',\n",
" 'South Carolina': 'SC',\n",
" 'South Dakota': 'SD',\n",
" 'Tennessee': 'TN',\n",
" 'Texas': 'TX',\n",
" 'Utah': 'UT',\n",
" 'Vermont': 'VT',\n",
" 'Virgin Islands': 'VI',\n",
" 'Virginia': 'VA',\n",
" 'Washington': 'WA',\n",
" 'West Virginia': 'WV',\n",
" 'Wisconsin': 'WI',\n",
" 'Wyoming': 'WY'\n",
"}\n",
"\n",
"states_abbr_list = [us_state_abbrev[x] for x in us_state_abbrev]"
]
},
{
"cell_type": "code",
"execution_count": 43,
"metadata": {},
"outputs": [],
"source": [
"states_map = gpd.read_file('./geodata/cb_2019_us_state_20m.shp')\n",
"states_map = states_map.loc[states_map.STUSPS.isin(states_abbr_list)] # Remove outlying territories"
]
},
{
"cell_type": "code",
"execution_count": 44,
"metadata": {},
"outputs": [],
"source": [
"# Merge our results dataframe with our states_map geo-dataframe on state_name\n",
"states_map = states_map.rename(columns={\"NAME\":\"name\"})\n",
"states_map_merge = states_map.merge(results_df,on='name')"
]
},
{
"cell_type": "code",
"execution_count": 45,
"metadata": {},
"outputs": [],
"source": [
"# Create a nice color gradiet map for our plotting\n",
"levs = range(12)\n",
"assert len(levs) % 2 == 0, 'N levels must be even.'\n",
"\n",
"cmap = mcolors.LinearSegmentedColormap.from_list(name='red_white_blue', \n",
" colors =[(1, 0, 0), \n",
" (1, 1., 1), \n",
" (0, 0, 1)],\n",
" N=len(levs),\n",
" )"
]
},
{
"cell_type": "code",
"execution_count": 46,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<AxesSubplot:title={'center':'Ratio of Rep Votes To Dem Votes By State'}>"
]
},
"execution_count": 46,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1080x720 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# Cut off the (mostly) uninhabited Alaskan islands\n",
"fig, ax = plt.subplots(figsize=(15,10))\n",
"ax.set_xlim(-180, -65)\n",
"plt.title(\"Ratio of Rep Votes To Dem Votes By State\")\n",
"\n",
"# Customer color map\n",
"#cmap = LinearSegmentedColormap.from_list(\n",
"# 'mycmap', [(0, 'red'), (1, 'blue')])\n",
"\n",
"# Create the chart\n",
"states_map_merge.loc[states_map_merge.STUSPS.isin(states_abbr_list)].plot(column=\"dem_to_rep_ratio\", \n",
" cmap=cmap, \n",
" ax=ax)"
]
},
{
"cell_type": "code",
"execution_count": 47,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<AxesSubplot:title={'center':'2020 Election Results'}>"
]
},
"execution_count": 47,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1080x720 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# Cut off the (mostly) uninhabited Alaskan islands\n",
"fig2, ax2 = plt.subplots(figsize=(15,10))\n",
"ax2.set_xlim(-180, -65)\n",
"plt.title(\"2020 Election Results\")\n",
"\n",
"# Create the chart\n",
"states_map_merge.loc[states_map_merge.STUSPS.isin(states_abbr_list)].plot(color=states_map_merge['state_color'], \n",
" ax=ax2, \n",
" legend=True)"
]
},
{
"cell_type": "code",
"execution_count": 74,
"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>STATEFP10</th>\n",
" <th>COUNTYFP10</th>\n",
" <th>COUNTYNS10</th>\n",
" <th>GEOID10</th>\n",
" <th>name</th>\n",
" <th>NAMELSAD10</th>\n",
" <th>LSAD10</th>\n",
" <th>CLASSFP10</th>\n",
" <th>MTFCC10</th>\n",
" <th>CSAFP10</th>\n",
" <th>...</th>\n",
" <th>POPTWO</th>\n",
" <th>POPHISP</th>\n",
" <th>POPWHITE2</th>\n",
" <th>POPBLACK2</th>\n",
" <th>POPAIAN2</th>\n",
" <th>POPASIAN2</th>\n",
" <th>POPNHOPI2</th>\n",
" <th>POPOTH2</th>\n",
" <th>POPTWO2</th>\n",
" <th>geometry</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>26</th>\n",
" <td>53</td>\n",
" <td>053</td>\n",
" <td>01529159</td>\n",
" <td>53053</td>\n",
" <td>Pierce</td>\n",
" <td>Pierce County</td>\n",
" <td>06</td>\n",
" <td>H1</td>\n",
" <td>G4020</td>\n",
" <td>500</td>\n",
" <td>...</td>\n",
" <td>54347</td>\n",
" <td>72849</td>\n",
" <td>559160</td>\n",
" <td>51436</td>\n",
" <td>9143</td>\n",
" <td>46520</td>\n",
" <td>10205</td>\n",
" <td>1415</td>\n",
" <td>44497</td>\n",
" <td>POLYGON ((1195030.499 706676.252, 1195048.117 ...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>37</th>\n",
" <td>53</td>\n",
" <td>075</td>\n",
" <td>01533501</td>\n",
" <td>53075</td>\n",
" <td>Whitman</td>\n",
" <td>Whitman County</td>\n",
" <td>06</td>\n",
" <td>H1</td>\n",
" <td>G4020</td>\n",
" <td>None</td>\n",
" <td>...</td>\n",
" <td>1630</td>\n",
" <td>2040</td>\n",
" <td>36760</td>\n",
" <td>721</td>\n",
" <td>272</td>\n",
" <td>3449</td>\n",
" <td>99</td>\n",
" <td>42</td>\n",
" <td>1393</td>\n",
" <td>POLYGON ((2400919.084 513000.157, 2400919.098 ...</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>2 rows × 40 columns</p>\n",
"</div>"
],
"text/plain": [
" STATEFP10 COUNTYFP10 COUNTYNS10 GEOID10 name NAMELSAD10 LSAD10 \\\n",
"26 53 053 01529159 53053 Pierce Pierce County 06 \n",
"37 53 075 01533501 53075 Whitman Whitman County 06 \n",
"\n",
" CLASSFP10 MTFCC10 CSAFP10 ... POPTWO POPHISP POPWHITE2 POPBLACK2 \\\n",
"26 H1 G4020 500 ... 54347 72849 559160 51436 \n",
"37 H1 G4020 None ... 1630 2040 36760 721 \n",
"\n",
" POPAIAN2 POPASIAN2 POPNHOPI2 POPOTH2 POPTWO2 \\\n",
"26 9143 46520 10205 1415 44497 \n",
"37 272 3449 99 42 1393 \n",
"\n",
" geometry \n",
"26 POLYGON ((1195030.499 706676.252, 1195048.117 ... \n",
"37 POLYGON ((2400919.084 513000.157, 2400919.098 ... \n",
"\n",
"[2 rows x 40 columns]"
]
},
"execution_count": 74,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"wa_state_county_df = gpd.read_file('./geodata/county10.shp')\n",
"wa_state_county_df = wa_state_county_df.rename(columns={\"NAME10\":\"name\"})\n",
"wa_state_county_df.sample(2)"
]
},
{
"cell_type": "code",
"execution_count": 50,
"metadata": {},
"outputs": [],
"source": [
"def get_election_percent_county(dataframe):\n",
" \n",
" \"\"\"\n",
" Takes a dataframe slice (df.state == \"<county>\") and returns an object containing the following:\n",
" \n",
" {\n",
" \"county_name\": \"name\",\n",
" \"winner\": \"party\",\n",
" \"dem_votes\": total,\n",
" \"rep_votes\": total,\n",
" \"lib_votes\": total,\n",
" \"wri_votes\": total,\n",
" \"total_votes\": total,\n",
" \"dem_to_rep_ratio\",\n",
" \"county_color\", \"color\"\n",
" }\n",
" \"\"\"\n",
" \n",
" # Sum REP/DEM votes\n",
" dvotes = dataframe.loc[dataframe.party == \"DEM\"].total_votes.sum()\n",
" rvotes = dataframe.loc[dataframe.party == \"REP\"].total_votes.sum()\n",
" lvotes = dataframe.loc[dataframe.party == \"LIB\"].total_votes.sum()\n",
" gvotes = dataframe.loc[dataframe.party == \"GRN\"].total_votes.sum()\n",
" wvotes = dataframe.loc[dataframe.party == \"WRI\"].total_votes.sum()\n",
" \n",
" # Determine winner\n",
" winner = \"DEM\" if dvotes > rvotes else \"REP\"\n",
" color = \"Blue\" if dvotes > rvotes else \"Red\"\n",
" \n",
" \n",
" # Return object\n",
" e_obj = {\n",
" \"winner\": winner,\n",
" \"dem_votes\": dvotes,\n",
" \"rep_votes\": rvotes,\n",
" \"lib_votes\": lvotes,\n",
" \"grn_votes\": gvotes,\n",
" \"wri_votes\": wvotes,\n",
" \"total_votes\": dvotes + rvotes + lvotes + gvotes + wvotes,\n",
" \"dem_to_rep_ratio\": dvotes / rvotes,\n",
" \"county_color\": color\n",
" }\n",
"\n",
" return e_obj\n",
"\n",
"def get_single_county(dataframe, county):\n",
" \"\"\"\n",
" Returns section of the main dataframe containing only counties from a single county\n",
" \"\"\"\n",
" return dataframe.loc[dataframe.county == county]\n",
"\n",
"def build_county_object(county_df):\n",
" \"\"\"\n",
" Build an object of all states (and DC) with all vote data for DEM/REP and return it.\n",
" \"\"\"\n",
" \n",
" # Instantiate object, get list of all states\n",
" county_obj = {}\n",
" county_list = county_df.county.unique().tolist()\n",
" \n",
" # Iterate over states, combining all results into massive object\n",
" for county in county_list:\n",
" current_county_df = get_single_county(county_df, county)\n",
" county_obj[county] = get_election_percent_state(current_county_df)\n",
" \n",
" \n",
" return county_obj"
]
},
{
"cell_type": "code",
"execution_count": 54,
"metadata": {},
"outputs": [],
"source": [
"wa_state_df = state_df.loc[state_df.state == \"Washington\"]\n",
"results_by_county = build_county_object(wa_state_df)\n",
"\n",
"# Making the results dataframe\n",
"county_results_df = pd.DataFrame(results_by_county).T\n",
"county_results_df.reset_index(level=0, inplace=True)\n",
"county_results_df.rename(columns={\"index\": \"name\"}, inplace=True)\n",
"\n",
"county_results_df.name = county_results_df.name.apply(lambda x: x.removesuffix(\" County\"))"
]
},
{
"cell_type": "code",
"execution_count": 60,
"metadata": {},
"outputs": [],
"source": [
"wa_map_merge = wa_state_county_df.merge(county_results_df,on='name')"
]
},
{
"cell_type": "code",
"execution_count": 77,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<AxesSubplot:title={'center':'WA: Ratio of Rep Votes To Dem Votes By County'}>"
]
},
"execution_count": 77,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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\n",
"text/plain": [
"<Figure size 1080x720 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"fig, ax = plt.subplots(figsize=(15,10))\n",
"plt.title(\"WA: Ratio of Rep Votes To Dem Votes By County\")\n",
"wa_map_merge.plot(column=\"dem_to_rep_ratio\", cmap=cmap, ax=ax, edgecolor='black')"
]
},
{
"cell_type": "code",
"execution_count": 70,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"REP 26\n",
"DEM 13\n",
"Name: winner, dtype: int64"
]
},
"execution_count": 70,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"wa_map_merge.winner.value_counts()"
]
}
],
"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": "3.9.0"
}
},
"nbformat": 4,
"nbformat_minor": 4
}
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