2020 東京都都知事選得票投票結果.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 2020 Tokyo 参議院選挙 東京都得票投票結果\n",
    "\n",
    "\n",
    "東京都知事選\n",
    "\n",
    "立候補者数 22有権者数 11,290,229投票率 55.00％\n",
    "\n",
    "https://www.nhk.or.jp/senkyo2/shutoken/16407/skh48032.html\n",
    "\n",
    "\n",
    "市町村別得票数xmlデータ\n",
    "\n",
    "https://www.nhk.or.jp/senkyo2/shutoken/16407/xml/ka/skh48032.xml\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "```xml\n",
    "<plc plcNm=\"千代田区\" vtCntRate=\"100\" elctorSu=\"52207\" vtRate=\"59.53\">\n",
    "<plcDispOdr>1</plcDispOdr>\n",
    "<plcKh khId=\"1029\" khDispOdr=\"1\" hyo=\"16727\" hyoRate=\"54.8\">小池　百合子</plcKh>\n",
    "<plcKh khId=\"51817\" khDispOdr=\"2\" hyo=\"4775\" hyoRate=\"15.6\">小野　泰輔</plcKh>\n",
    "<plcKh khId=\"36945\" khDispOdr=\"3\" hyo=\"3950\" hyoRate=\"12.9\">宇都宮　健児</plcKh>\n",
    "<plcKh khId=\"37310\" khDispOdr=\"4\" hyo=\"3013\" hyoRate=\"9.9\">山本　太郎</plcKh>\n",
    "<plcKh khId=\"47507\" khDispOdr=\"5\" hyo=\"1065\" hyoRate=\"3.5\">桜井　誠</plcKh>\n",
    "<plcKh khId=\"43625\" khDispOdr=\"6\" hyo=\"272\" hyoRate=\"0.9\">立花　孝志</plcKh>\n",
    "<plcKh khId=\"33439\" khDispOdr=\"7\" hyo=\"177\" hyoRate=\"0.6\">後藤　輝樹</plcKh>\n",
    "<plcKh khId=\"51816\" khDispOdr=\"8\" hyo=\"139\" hyoRate=\"0.5\">澤　紫臣</plcKh>\n",
    "<plcKh khId=\"40908\" khDispOdr=\"9\" hyo=\"83\" hyoRate=\"0.3\">七海　ひろこ</plcKh>\n",
    "<plcKh khId=\"51806\" khDispOdr=\"10\" hyo=\"62\" hyoRate=\"0.2\">西本　誠</plcKh>\n",
    "<plcKh khId=\"51764\" khDispOdr=\"11\" hyo=\"48\" hyoRate=\"0.2\">込山　洋</plcKh>\n",
    "<plcKh khId=\"51447\" khDispOdr=\"12\" hyo=\"46\" hyoRate=\"0.2\">平塚　正幸</plcKh>\n",
    "<plcKh khId=\"51446\" khDispOdr=\"13\" hyo=\"37\" hyoRate=\"0.1\">服部　修</plcKh>\n",
    "<plcKh khId=\"51838\" khDispOdr=\"14\" hyo=\"30\" hyoRate=\"0.1\">齊藤　健一郎</plcKh>\n",
    "<plcKh khId=\"51426\" khDispOdr=\"15\" hyo=\"28\" hyoRate=\"0.1\">竹本　秀之</plcKh>\n",
    "<plcKh khId=\"39442\" khDispOdr=\"16\" hyo=\"17\" hyoRate=\"0.1\">内藤　久遠</plcKh>\n",
    "<plcKh khId=\"51826\" khDispOdr=\"17\" hyo=\"15\" hyoRate=\"0.0\">市川　浩司</plcKh>\n",
    "<plcKh khId=\"5929\" khDispOdr=\"18\" hyo=\"13\" hyoRate=\"0.0\">関口　安弘</plcKh>\n",
    "<plcKh khId=\"51837\" khDispOdr=\"19\" hyo=\"12\" hyoRate=\"0.0\">押越　清悦</plcKh>\n",
    "<plcKh khId=\"51405\" khDispOdr=\"20\" hyo=\"12\" hyoRate=\"0.0\">石井　均</plcKh>\n",
    "<plcKh khId=\"51825\" khDispOdr=\"21\" hyo=\"11\" hyoRate=\"0.0\">長澤　育弘</plcKh>\n",
    "<plcKh khId=\"51841\" khDispOdr=\"22\" hyo=\"8\" hyoRate=\"0.0\">牛尾　和恵</plcKh>\n",
    "</plc>\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn \n",
    "import seaborn as sns\n",
    "from pandas import Series, DataFrame\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import sys\n",
    "from bs4 import BeautifulSoup\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "soup = BeautifulSoup(open('skh48032.xml'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 214,
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "l = []\n",
    "for plc in soup.findAll('plc'):\n",
    "    city_name = plc.get('plcnm')\n",
    "    voter_rate = float(plc.get('vtrate'))\n",
    "    voter_num = int(plc.get('elctorsu'))\n",
    "    candidates = []\n",
    "    for plckh in plc.findAll('plckh'):\n",
    "        votes_num = int(plckh.get('hyo'))\n",
    "        votes_rate= float(plckh.get('hyorate'))\n",
    "        canditate_name = plckh.text.replace('\\u3000', ' ')\n",
    "        l.append(dict(votes_num=votes_num, votes_rate=votes_rate, canditate_name=canditate_name,\n",
    "                      city_name=city_name, voter_rate=voter_rate, voter_num=voter_num))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 215,
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "df = DataFrame(l)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 232,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "city_name\n",
       "あきる野市    46.63\n",
       "三宅村      34.78\n",
       "三鷹市      41.42\n",
       "世田谷区     41.74\n",
       "中央区      41.97\n",
       "中野区      44.24\n",
       "八丈町      39.18\n",
       "八王子市     49.12\n",
       "利島村      18.44\n",
       "北区       42.31\n",
       "Name: 棄権, dtype: float64"
      ]
     },
     "execution_count": 232,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['abs_votes_rate'] = df['votes_num'] / df['voter_num'] * 100\n",
    "df['棄権'] = 100 - df['voter_rate']\n",
    "abstention = df.groupby('city_name').mean()['棄権']\n",
    "abstention.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 233,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "canditate_name\n",
       "小池 百合子    3661371\n",
       "宇都宮 健児     844151\n",
       "山本 太郎      657277\n",
       "小野 泰輔      612530\n",
       "桜井 誠       178776\n",
       "立花 孝志       43912\n",
       "七海 ひろこ      22003\n",
       "後藤 輝樹       21997\n",
       "澤 紫臣        20738\n",
       "西本 誠        11887\n",
       "込山 洋        10933\n",
       "平塚 正幸        8997\n",
       "服部 修         5453\n",
       "齊藤 健一郎       5114\n",
       "市川 浩司        4759\n",
       "内藤 久遠        4145\n",
       "関口 安弘        4097\n",
       "竹本 秀之        3997\n",
       "石井 均         3356\n",
       "長澤 育弘        2955\n",
       "押越 清悦        2708\n",
       "牛尾 和恵        1510\n",
       "Name: votes_num, dtype: int64"
      ]
     },
     "execution_count": 233,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 候補者を得票数順にソートする\n",
    "candidates_sorted = df.groupby('canditate_name').sum()['votes_num'].sort_values(ascending=False)\n",
    "candidates_sorted # 総得票数 小池...3661371"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 234,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    千代田区\n",
       "1     中央区\n",
       "2      港区\n",
       "3     新宿区\n",
       "4     文京区\n",
       "5     台東区\n",
       "6     墨田区\n",
       "7     江東区\n",
       "8     品川区\n",
       "9     目黒区\n",
       "dtype: category\n",
       "Categories (62, object): [あきる野市, 三宅村, 三鷹市, 世田谷区, ..., 豊島区, 足立区, 青ヶ島村, 青梅市]"
      ]
     },
     "execution_count": 234,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 市町村名を表示順にソートする\n",
    "cities_sorted = Series([plc.get('plcnm') for plc in soup.findAll('plc')], dtype='category')\n",
    "cities_sorted.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 235,
   "metadata": {},
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>city_name</th>\n",
       "      <th>千代田区</th>\n",
       "      <th>中央区</th>\n",
       "      <th>港区</th>\n",
       "      <th>新宿区</th>\n",
       "      <th>文京区</th>\n",
       "      <th>台東区</th>\n",
       "      <th>墨田区</th>\n",
       "      <th>江東区</th>\n",
       "      <th>品川区</th>\n",
       "      <th>目黒区</th>\n",
       "      <th>...</th>\n",
       "      <th>奥多摩町</th>\n",
       "      <th>大島町</th>\n",
       "      <th>利島村</th>\n",
       "      <th>新島村</th>\n",
       "      <th>神津島村</th>\n",
       "      <th>三宅村</th>\n",
       "      <th>御蔵島村</th>\n",
       "      <th>八丈町</th>\n",
       "      <th>青ヶ島村</th>\n",
       "      <th>小笠原村</th>\n",
       "    </tr>\n",
       "  </thead>\n",
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       "    <tr>\n",
       "      <th>牛尾 和恵</th>\n",
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       "      <td>0.009474</td>\n",
       "      <td>0.010803</td>\n",
       "      <td>0.019364</td>\n",
       "      <td>0.010953</td>\n",
       "      <td>0.011479</td>\n",
       "      <td>0.012342</td>\n",
       "      <td>0.015663</td>\n",
       "      <td>0.008145</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.063877</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>押越 清悦</th>\n",
       "      <td>0.022985</td>\n",
       "      <td>0.032786</td>\n",
       "      <td>0.017951</td>\n",
       "      <td>0.035388</td>\n",
       "      <td>0.029876</td>\n",
       "      <td>0.024339</td>\n",
       "      <td>0.024282</td>\n",
       "      <td>0.028073</td>\n",
       "      <td>0.037952</td>\n",
       "      <td>0.019720</td>\n",
       "      <td>...</td>\n",
       "      <td>0.044297</td>\n",
       "      <td>0.047908</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>長澤 育弘</th>\n",
       "      <td>0.021070</td>\n",
       "      <td>0.014903</td>\n",
       "      <td>0.039891</td>\n",
       "      <td>0.019370</td>\n",
       "      <td>0.047580</td>\n",
       "      <td>0.020688</td>\n",
       "      <td>0.023841</td>\n",
       "      <td>0.025411</td>\n",
       "      <td>0.018976</td>\n",
       "      <td>0.028294</td>\n",
       "      <td>...</td>\n",
       "      <td>0.022148</td>\n",
       "      <td>0.047908</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.095283</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.032489</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.048780</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>石井 均</th>\n",
       "      <td>0.022985</td>\n",
       "      <td>0.045453</td>\n",
       "      <td>0.016455</td>\n",
       "      <td>0.019743</td>\n",
       "      <td>0.028216</td>\n",
       "      <td>0.038942</td>\n",
       "      <td>0.029139</td>\n",
       "      <td>0.020329</td>\n",
       "      <td>0.025301</td>\n",
       "      <td>0.024007</td>\n",
       "      <td>...</td>\n",
       "      <td>0.066445</td>\n",
       "      <td>0.095816</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.043668</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.146341</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>竹本 秀之</th>\n",
       "      <td>0.053633</td>\n",
       "      <td>0.032041</td>\n",
       "      <td>0.030916</td>\n",
       "      <td>0.025330</td>\n",
       "      <td>0.047027</td>\n",
       "      <td>0.029207</td>\n",
       "      <td>0.026490</td>\n",
       "      <td>0.038237</td>\n",
       "      <td>0.025602</td>\n",
       "      <td>0.023579</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.047908</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.043668</td>\n",
       "      <td>0.064641</td>\n",
       "      <td>0.047642</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.032489</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.097561</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>関口 安弘</th>\n",
       "      <td>0.024901</td>\n",
       "      <td>0.018628</td>\n",
       "      <td>0.023935</td>\n",
       "      <td>0.030173</td>\n",
       "      <td>0.043707</td>\n",
       "      <td>0.035900</td>\n",
       "      <td>0.034878</td>\n",
       "      <td>0.044771</td>\n",
       "      <td>0.036446</td>\n",
       "      <td>0.043299</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.031939</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.047642</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.016244</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.097561</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>内藤 久遠</th>\n",
       "      <td>0.032563</td>\n",
       "      <td>0.015648</td>\n",
       "      <td>0.019946</td>\n",
       "      <td>0.022723</td>\n",
       "      <td>0.057539</td>\n",
       "      <td>0.029815</td>\n",
       "      <td>0.028256</td>\n",
       "      <td>0.031703</td>\n",
       "      <td>0.045482</td>\n",
       "      <td>0.027866</td>\n",
       "      <td>...</td>\n",
       "      <td>0.177187</td>\n",
       "      <td>0.143724</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.032489</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.097561</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>市川 浩司</th>\n",
       "      <td>0.028732</td>\n",
       "      <td>0.025334</td>\n",
       "      <td>0.034905</td>\n",
       "      <td>0.037995</td>\n",
       "      <td>0.035962</td>\n",
       "      <td>0.025556</td>\n",
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       "      <td>0.036144</td>\n",
       "      <td>0.045442</td>\n",
       "      <td>...</td>\n",
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       "      <td>0.032489</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>齊藤 健一郎</th>\n",
       "      <td>0.057464</td>\n",
       "      <td>0.073768</td>\n",
       "      <td>0.052358</td>\n",
       "      <td>0.036505</td>\n",
       "      <td>0.041494</td>\n",
       "      <td>0.047461</td>\n",
       "      <td>0.044149</td>\n",
       "      <td>0.087123</td>\n",
       "      <td>0.028916</td>\n",
       "      <td>0.066020</td>\n",
       "      <td>...</td>\n",
       "      <td>0.022148</td>\n",
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       "      <td>0.000000</td>\n",
       "      <td>0.809717</td>\n",
       "      <td>0.064977</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.048780</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>服部 修</th>\n",
       "      <td>0.070872</td>\n",
       "      <td>0.070042</td>\n",
       "      <td>0.056845</td>\n",
       "      <td>0.086049</td>\n",
       "      <td>0.070264</td>\n",
       "      <td>0.114393</td>\n",
       "      <td>0.033553</td>\n",
       "      <td>0.037753</td>\n",
       "      <td>0.044578</td>\n",
       "      <td>0.029152</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.031939</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.064641</td>\n",
       "      <td>0.047642</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.081222</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.097561</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>平塚 正幸</th>\n",
       "      <td>0.088111</td>\n",
       "      <td>0.070787</td>\n",
       "      <td>0.096238</td>\n",
       "      <td>0.084931</td>\n",
       "      <td>0.112864</td>\n",
       "      <td>0.079101</td>\n",
       "      <td>0.079469</td>\n",
       "      <td>0.074780</td>\n",
       "      <td>0.064759</td>\n",
       "      <td>0.086598</td>\n",
       "      <td>...</td>\n",
       "      <td>0.022148</td>\n",
       "      <td>0.143724</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.258565</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.081222</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.243902</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>込山 洋</th>\n",
       "      <td>0.091942</td>\n",
       "      <td>0.089415</td>\n",
       "      <td>0.110200</td>\n",
       "      <td>0.097969</td>\n",
       "      <td>0.091287</td>\n",
       "      <td>0.091879</td>\n",
       "      <td>0.113905</td>\n",
       "      <td>0.106725</td>\n",
       "      <td>0.086446</td>\n",
       "      <td>0.085740</td>\n",
       "      <td>...</td>\n",
       "      <td>0.022148</td>\n",
       "      <td>0.127755</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.043668</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.047642</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.032489</td>\n",
       "      <td>0.709220</td>\n",
       "      <td>0.243902</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>西本 誠</th>\n",
       "      <td>0.118758</td>\n",
       "      <td>0.175105</td>\n",
       "      <td>0.101723</td>\n",
       "      <td>0.138199</td>\n",
       "      <td>0.101246</td>\n",
       "      <td>0.141166</td>\n",
       "      <td>0.102426</td>\n",
       "      <td>0.139396</td>\n",
       "      <td>0.101807</td>\n",
       "      <td>0.089170</td>\n",
       "      <td>...</td>\n",
       "      <td>0.044297</td>\n",
       "      <td>0.159693</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.043668</td>\n",
       "      <td>0.193924</td>\n",
       "      <td>0.142925</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.064977</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.195122</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>澤 紫臣</th>\n",
       "      <td>0.266248</td>\n",
       "      <td>0.116240</td>\n",
       "      <td>0.103718</td>\n",
       "      <td>0.195192</td>\n",
       "      <td>0.241220</td>\n",
       "      <td>0.201404</td>\n",
       "      <td>0.195582</td>\n",
       "      <td>0.174729</td>\n",
       "      <td>0.206325</td>\n",
       "      <td>0.188628</td>\n",
       "      <td>...</td>\n",
       "      <td>0.110742</td>\n",
       "      <td>0.111785</td>\n",
       "      <td>0.409836</td>\n",
       "      <td>0.087336</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.142925</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.097466</td>\n",
       "      <td>0.709220</td>\n",
       "      <td>0.243902</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>後藤 輝樹</th>\n",
       "      <td>0.339035</td>\n",
       "      <td>0.180321</td>\n",
       "      <td>0.127653</td>\n",
       "      <td>0.176940</td>\n",
       "      <td>0.243433</td>\n",
       "      <td>0.214182</td>\n",
       "      <td>0.216332</td>\n",
       "      <td>0.198688</td>\n",
       "      <td>0.209638</td>\n",
       "      <td>0.152617</td>\n",
       "      <td>...</td>\n",
       "      <td>0.243632</td>\n",
       "      <td>0.207601</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.305677</td>\n",
       "      <td>0.129282</td>\n",
       "      <td>0.142925</td>\n",
       "      <td>0.404858</td>\n",
       "      <td>0.129955</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.341463</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>七海 ひろこ</th>\n",
       "      <td>0.158983</td>\n",
       "      <td>0.171380</td>\n",
       "      <td>0.195967</td>\n",
       "      <td>0.168372</td>\n",
       "      <td>0.188660</td>\n",
       "      <td>0.208098</td>\n",
       "      <td>0.191608</td>\n",
       "      <td>0.210062</td>\n",
       "      <td>0.231023</td>\n",
       "      <td>0.170623</td>\n",
       "      <td>...</td>\n",
       "      <td>0.332226</td>\n",
       "      <td>0.191632</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.131004</td>\n",
       "      <td>0.193924</td>\n",
       "      <td>0.095283</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.081222</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.341463</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>立花 孝志</th>\n",
       "      <td>0.521003</td>\n",
       "      <td>0.537983</td>\n",
       "      <td>0.471717</td>\n",
       "      <td>0.471963</td>\n",
       "      <td>0.461969</td>\n",
       "      <td>0.483736</td>\n",
       "      <td>0.449882</td>\n",
       "      <td>0.446745</td>\n",
       "      <td>0.531022</td>\n",
       "      <td>0.423985</td>\n",
       "      <td>...</td>\n",
       "      <td>0.110742</td>\n",
       "      <td>0.191632</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.262009</td>\n",
       "      <td>0.387847</td>\n",
       "      <td>0.333492</td>\n",
       "      <td>0.809717</td>\n",
       "      <td>0.276153</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.487805</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>桜井 誠</th>\n",
       "      <td>2.039956</td>\n",
       "      <td>1.694423</td>\n",
       "      <td>1.492939</td>\n",
       "      <td>1.844643</td>\n",
       "      <td>1.715648</td>\n",
       "      <td>2.047510</td>\n",
       "      <td>1.784516</td>\n",
       "      <td>1.600393</td>\n",
       "      <td>1.632224</td>\n",
       "      <td>1.401422</td>\n",
       "      <td>...</td>\n",
       "      <td>0.885936</td>\n",
       "      <td>0.878314</td>\n",
       "      <td>0.409836</td>\n",
       "      <td>1.353712</td>\n",
       "      <td>0.904977</td>\n",
       "      <td>1.286327</td>\n",
       "      <td>2.834008</td>\n",
       "      <td>0.860949</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.341463</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>小野 泰輔</th>\n",
       "      <td>9.146283</td>\n",
       "      <td>9.374464</td>\n",
       "      <td>7.993757</td>\n",
       "      <td>6.493129</td>\n",
       "      <td>8.414478</td>\n",
       "      <td>6.244143</td>\n",
       "      <td>5.472751</td>\n",
       "      <td>6.363819</td>\n",
       "      <td>6.845160</td>\n",
       "      <td>7.610723</td>\n",
       "      <td>...</td>\n",
       "      <td>1.816168</td>\n",
       "      <td>2.858512</td>\n",
       "      <td>4.098361</td>\n",
       "      <td>2.227074</td>\n",
       "      <td>2.327085</td>\n",
       "      <td>2.334445</td>\n",
       "      <td>3.643725</td>\n",
       "      <td>2.729045</td>\n",
       "      <td>2.127660</td>\n",
       "      <td>2.878049</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>山本 太郎</th>\n",
       "      <td>5.771257</td>\n",
       "      <td>5.788905</td>\n",
       "      <td>5.598273</td>\n",
       "      <td>6.110939</td>\n",
       "      <td>6.026069</td>\n",
       "      <td>6.164434</td>\n",
       "      <td>5.661269</td>\n",
       "      <td>5.516068</td>\n",
       "      <td>5.487935</td>\n",
       "      <td>6.593416</td>\n",
       "      <td>...</td>\n",
       "      <td>4.451827</td>\n",
       "      <td>4.679016</td>\n",
       "      <td>2.868852</td>\n",
       "      <td>3.842795</td>\n",
       "      <td>4.201681</td>\n",
       "      <td>4.144831</td>\n",
       "      <td>9.311741</td>\n",
       "      <td>5.896686</td>\n",
       "      <td>10.638298</td>\n",
       "      <td>8.390244</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>宇都宮 健児</th>\n",
       "      <td>7.566035</td>\n",
       "      <td>6.377557</td>\n",
       "      <td>6.420536</td>\n",
       "      <td>8.264761</td>\n",
       "      <td>10.297209</td>\n",
       "      <td>7.086269</td>\n",
       "      <td>6.056847</td>\n",
       "      <td>6.991101</td>\n",
       "      <td>7.177990</td>\n",
       "      <td>8.204473</td>\n",
       "      <td>...</td>\n",
       "      <td>4.119601</td>\n",
       "      <td>7.713191</td>\n",
       "      <td>6.557377</td>\n",
       "      <td>4.934498</td>\n",
       "      <td>2.908856</td>\n",
       "      <td>4.668890</td>\n",
       "      <td>13.360324</td>\n",
       "      <td>4.905783</td>\n",
       "      <td>7.801418</td>\n",
       "      <td>7.512195</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>小池 百合子</th>\n",
       "      <td>32.039765</td>\n",
       "      <td>32.264074</td>\n",
       "      <td>25.643250</td>\n",
       "      <td>29.547072</td>\n",
       "      <td>33.805630</td>\n",
       "      <td>32.907403</td>\n",
       "      <td>33.686822</td>\n",
       "      <td>33.925767</td>\n",
       "      <td>32.642372</td>\n",
       "      <td>28.653494</td>\n",
       "      <td>...</td>\n",
       "      <td>48.615725</td>\n",
       "      <td>42.430533</td>\n",
       "      <td>63.524590</td>\n",
       "      <td>55.807860</td>\n",
       "      <td>53.652230</td>\n",
       "      <td>49.928537</td>\n",
       "      <td>46.153846</td>\n",
       "      <td>44.460689</td>\n",
       "      <td>50.354610</td>\n",
       "      <td>40.243902</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>棄 権</th>\n",
       "      <td>40.470000</td>\n",
       "      <td>41.970000</td>\n",
       "      <td>50.680000</td>\n",
       "      <td>45.410000</td>\n",
       "      <td>37.020000</td>\n",
       "      <td>42.880000</td>\n",
       "      <td>44.920000</td>\n",
       "      <td>43.070000</td>\n",
       "      <td>43.790000</td>\n",
       "      <td>45.380000</td>\n",
       "      <td>...</td>\n",
       "      <td>38.210000</td>\n",
       "      <td>37.130000</td>\n",
       "      <td>18.440000</td>\n",
       "      <td>30.170000</td>\n",
       "      <td>33.810000</td>\n",
       "      <td>34.780000</td>\n",
       "      <td>21.050000</td>\n",
       "      <td>39.180000</td>\n",
       "      <td>24.820000</td>\n",
       "      <td>34.780000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>23 rows × 62 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "city_name       千代田区        中央区         港区        新宿区        文京区        台東区  \\\n",
       "牛尾 和恵       0.015324   0.011922   0.009474   0.010803   0.019364   0.010953   \n",
       "押越 清悦       0.022985   0.032786   0.017951   0.035388   0.029876   0.024339   \n",
       "長澤 育弘       0.021070   0.014903   0.039891   0.019370   0.047580   0.020688   \n",
       "石井 均        0.022985   0.045453   0.016455   0.019743   0.028216   0.038942   \n",
       "竹本 秀之       0.053633   0.032041   0.030916   0.025330   0.047027   0.029207   \n",
       "関口 安弘       0.024901   0.018628   0.023935   0.030173   0.043707   0.035900   \n",
       "内藤 久遠       0.032563   0.015648   0.019946   0.022723   0.057539   0.029815   \n",
       "市川 浩司       0.028732   0.025334   0.034905   0.037995   0.035962   0.025556   \n",
       "齊藤 健一郎      0.057464   0.073768   0.052358   0.036505   0.041494   0.047461   \n",
       "服部 修        0.070872   0.070042   0.056845   0.086049   0.070264   0.114393   \n",
       "平塚 正幸       0.088111   0.070787   0.096238   0.084931   0.112864   0.079101   \n",
       "込山 洋        0.091942   0.089415   0.110200   0.097969   0.091287   0.091879   \n",
       "西本 誠        0.118758   0.175105   0.101723   0.138199   0.101246   0.141166   \n",
       "澤 紫臣        0.266248   0.116240   0.103718   0.195192   0.241220   0.201404   \n",
       "後藤 輝樹       0.339035   0.180321   0.127653   0.176940   0.243433   0.214182   \n",
       "七海 ひろこ      0.158983   0.171380   0.195967   0.168372   0.188660   0.208098   \n",
       "立花 孝志       0.521003   0.537983   0.471717   0.471963   0.461969   0.483736   \n",
       "桜井 誠        2.039956   1.694423   1.492939   1.844643   1.715648   2.047510   \n",
       "小野 泰輔       9.146283   9.374464   7.993757   6.493129   8.414478   6.244143   \n",
       "山本 太郎       5.771257   5.788905   5.598273   6.110939   6.026069   6.164434   \n",
       "宇都宮 健児      7.566035   6.377557   6.420536   8.264761  10.297209   7.086269   \n",
       "小池 百合子     32.039765  32.264074  25.643250  29.547072  33.805630  32.907403   \n",
       "棄 権        40.470000  41.970000  50.680000  45.410000  37.020000  42.880000   \n",
       "\n",
       "city_name        墨田区        江東区        品川区        目黒区  ...       奥多摩町  \\\n",
       "牛尾 和恵       0.011479   0.012342   0.015663   0.008145  ...   0.000000   \n",
       "押越 清悦       0.024282   0.028073   0.037952   0.019720  ...   0.044297   \n",
       "長澤 育弘       0.023841   0.025411   0.018976   0.028294  ...   0.022148   \n",
       "石井 均        0.029139   0.020329   0.025301   0.024007  ...   0.066445   \n",
       "竹本 秀之       0.026490   0.038237   0.025602   0.023579  ...   0.000000   \n",
       "関口 安弘       0.034878   0.044771   0.036446   0.043299  ...   0.000000   \n",
       "内藤 久遠       0.028256   0.031703   0.045482   0.027866  ...   0.177187   \n",
       "市川 浩司       0.057836   0.040415   0.036144   0.045442  ...   0.044297   \n",
       "齊藤 健一郎      0.044149   0.087123   0.028916   0.066020  ...   0.022148   \n",
       "服部 修        0.033553   0.037753   0.044578   0.029152  ...   0.000000   \n",
       "平塚 正幸       0.079469   0.074780   0.064759   0.086598  ...   0.022148   \n",
       "込山 洋        0.113905   0.106725   0.086446   0.085740  ...   0.022148   \n",
       "西本 誠        0.102426   0.139396   0.101807   0.089170  ...   0.044297   \n",
       "澤 紫臣        0.195582   0.174729   0.206325   0.188628  ...   0.110742   \n",
       "後藤 輝樹       0.216332   0.198688   0.209638   0.152617  ...   0.243632   \n",
       "七海 ひろこ      0.191608   0.210062   0.231023   0.170623  ...   0.332226   \n",
       "立花 孝志       0.449882   0.446745   0.531022   0.423985  ...   0.110742   \n",
       "桜井 誠        1.784516   1.600393   1.632224   1.401422  ...   0.885936   \n",
       "小野 泰輔       5.472751   6.363819   6.845160   7.610723  ...   1.816168   \n",
       "山本 太郎       5.661269   5.516068   5.487935   6.593416  ...   4.451827   \n",
       "宇都宮 健児      6.056847   6.991101   7.177990   8.204473  ...   4.119601   \n",
       "小池 百合子     33.686822  33.925767  32.642372  28.653494  ...  48.615725   \n",
       "棄 権        44.920000  43.070000  43.790000  45.380000  ...  38.210000   \n",
       "\n",
       "city_name        大島町        利島村        新島村       神津島村        三宅村       御蔵島村  \\\n",
       "牛尾 和恵       0.063877   0.000000   0.000000   0.000000   0.000000   0.000000   \n",
       "押越 清悦       0.047908   0.000000   0.000000   0.000000   0.000000   0.000000   \n",
       "長澤 育弘       0.047908   0.000000   0.000000   0.000000   0.095283   0.000000   \n",
       "石井 均        0.095816   0.000000   0.043668   0.000000   0.000000   0.000000   \n",
       "竹本 秀之       0.047908   0.000000   0.043668   0.064641   0.047642   0.000000   \n",
       "関口 安弘       0.031939   0.000000   0.000000   0.000000   0.047642   0.000000   \n",
       "内藤 久遠       0.143724   0.000000   0.000000   0.000000   0.000000   0.000000   \n",
       "市川 浩司       0.031939   0.000000   0.000000   0.000000   0.000000   0.404858   \n",
       "齊藤 健一郎      0.063877   0.000000   0.000000   0.000000   0.000000   0.809717   \n",
       "服部 修        0.031939   0.000000   0.000000   0.064641   0.047642   0.000000   \n",
       "平塚 正幸       0.143724   0.000000   0.000000   0.258565   0.000000   0.000000   \n",
       "込山 洋        0.127755   0.000000   0.043668   0.000000   0.047642   0.000000   \n",
       "西本 誠        0.159693   0.000000   0.043668   0.193924   0.142925   0.000000   \n",
       "澤 紫臣        0.111785   0.409836   0.087336   0.000000   0.142925   0.000000   \n",
       "後藤 輝樹       0.207601   0.000000   0.305677   0.129282   0.142925   0.404858   \n",
       "七海 ひろこ      0.191632   0.000000   0.131004   0.193924   0.095283   0.000000   \n",
       "立花 孝志       0.191632   0.000000   0.262009   0.387847   0.333492   0.809717   \n",
       "桜井 誠        0.878314   0.409836   1.353712   0.904977   1.286327   2.834008   \n",
       "小野 泰輔       2.858512   4.098361   2.227074   2.327085   2.334445   3.643725   \n",
       "山本 太郎       4.679016   2.868852   3.842795   4.201681   4.144831   9.311741   \n",
       "宇都宮 健児      7.713191   6.557377   4.934498   2.908856   4.668890  13.360324   \n",
       "小池 百合子     42.430533  63.524590  55.807860  53.652230  49.928537  46.153846   \n",
       "棄 権        37.130000  18.440000  30.170000  33.810000  34.780000  21.050000   \n",
       "\n",
       "city_name        八丈町       青ヶ島村       小笠原村  \n",
       "牛尾 和恵       0.000000   0.000000   0.000000  \n",
       "押越 清悦       0.000000   0.000000   0.000000  \n",
       "長澤 育弘       0.032489   0.000000   0.048780  \n",
       "石井 均        0.000000   0.000000   0.146341  \n",
       "竹本 秀之       0.032489   0.000000   0.097561  \n",
       "関口 安弘       0.016244   0.000000   0.097561  \n",
       "内藤 久遠       0.032489   0.000000   0.097561  \n",
       "市川 浩司       0.032489   0.000000   0.000000  \n",
       "齊藤 健一郎      0.064977   0.000000   0.048780  \n",
       "服部 修        0.081222   0.000000   0.097561  \n",
       "平塚 正幸       0.081222   0.000000   0.243902  \n",
       "込山 洋        0.032489   0.709220   0.243902  \n",
       "西本 誠        0.064977   0.000000   0.195122  \n",
       "澤 紫臣        0.097466   0.709220   0.243902  \n",
       "後藤 輝樹       0.129955   0.000000   0.341463  \n",
       "七海 ひろこ      0.081222   0.000000   0.341463  \n",
       "立花 孝志       0.276153   0.000000   0.487805  \n",
       "桜井 誠        0.860949   0.000000   2.341463  \n",
       "小野 泰輔       2.729045   2.127660   2.878049  \n",
       "山本 太郎       5.896686  10.638298   8.390244  \n",
       "宇都宮 健児      4.905783   7.801418   7.512195  \n",
       "小池 百合子     44.460689  50.354610  40.243902  \n",
       "棄 権        39.180000  24.820000  34.780000  \n",
       "\n",
       "[23 rows x 62 columns]"
      ]
     },
     "execution_count": 235,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "table_candidate_city = df.pivot('canditate_name', 'city_name', 'abs_votes_rate')\n",
    "table_candidate_city = table_candidate_city.append(abstention)\n",
    "table_candidate_city.index = pd.Categorical(table_candidate_city.index, candidates_sorted.index) # 縦 候補者得票数順に\n",
    "table_candidate_city = table_candidate_city.sort_index(ascending=False)\n",
    "table_candidate_city = table_candidate_city[cities_sorted] # 横 市町村表示順\n",
    "table_candidate_city = table_candidate_city.rename(index={np.nan:'棄 権'})\n",
    "table_candidate_city"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 251,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "city_name\n",
       "千代田区     98.967903\n",
       "中央区      99.151178\n",
       "港区       99.338648\n",
       "新宿区      99.328191\n",
       "文京区      99.140743\n",
       "台東区      99.126577\n",
       "墨田区      99.245310\n",
       "江東区      99.184431\n",
       "品川区      99.321760\n",
       "目黒区      99.356413\n",
       "大田区      99.222658\n",
       "世田谷区     99.299989\n",
       "渋谷区      99.298477\n",
       "中野区      99.271705\n",
       "杉並区      99.253919\n",
       "豊島区      99.322741\n",
       "北区       98.936123\n",
       "荒川区      99.288171\n",
       "板橋区      99.378391\n",
       "練馬区      99.357815\n",
       "足立区      99.415414\n",
       "葛飾区      99.380163\n",
       "江戸川区     99.412977\n",
       "八王子市     99.414614\n",
       "立川市      99.396005\n",
       "武蔵野市     99.275942\n",
       "三鷹市      99.294368\n",
       "青梅市      99.431043\n",
       "府中市      99.376603\n",
       "昭島市      99.402089\n",
       "           ...    \n",
       "小金井市     99.332773\n",
       "小平市      99.413872\n",
       "日野市      99.169185\n",
       "東村山市     99.363882\n",
       "国分寺市     99.248749\n",
       "国立市      99.337761\n",
       "福生市      99.461272\n",
       "狛江市      99.188528\n",
       "東大和市     99.475918\n",
       "清瀬市      99.436805\n",
       "東久留米市    99.435225\n",
       "武蔵村山市    99.552042\n",
       "多摩市      99.429065\n",
       "稲城市      99.432947\n",
       "羽村市      99.396370\n",
       "あきる野市    99.406079\n",
       "西東京市     99.406850\n",
       "瑞穂町      99.537592\n",
       "日の出町     99.387180\n",
       "檜原村      99.280465\n",
       "奥多摩町     99.361717\n",
       "大島町      97.430224\n",
       "利島村      96.308852\n",
       "新島村      99.296638\n",
       "神津島村     99.097654\n",
       "三宅村      98.286432\n",
       "御蔵島村     98.782794\n",
       "八丈町      99.089032\n",
       "青ヶ島村     97.160426\n",
       "小笠原村     98.877561\n",
       "Length: 62, dtype: float64"
      ]
     },
     "execution_count": 251,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "table_candidate_city.sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 243,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1500x500 with 2 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 541,
       "width": 1107
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ipag = {'family':'IPAPGothic','weight' : 'normal', 'size' :6}\n",
    "ipag10 = {'family':'IPAPGothic','weight' : 'normal', 'size' :10}\n",
    "\n",
    "from matplotlib.pyplot import gca\n",
    "\n",
    "annot = table_candidate_city.applymap(lambda a:a < 0.1 and ' ' or round(a,1))\n",
    "plt.figure(figsize=(15, 5))\n",
    "sns.set(font='monospace') # GenEi Antique N| IPAPMincho|IPAPGothic\n",
    "sns.set_context('talk', font_scale=0.4)\n",
    "cbar_kws = dict(use_gridspec=False, location=\"right\", shrink=0.5)\n",
    "sns.heatmap(table_candidate_city, cmap='Blues', vmin=1, annot=annot, fmt='',\n",
    "            annot_kws={\"size\": 4}, cbar_kws=cbar_kws)\n",
    "ax = plt.axes()\n",
    "a = gca()\n",
    "a.set_xticklabels(table_candidate_city.columns, ipag)\n",
    "a.set_yticklabels(table_candidate_city.index, ipag)\n",
    "\n",
    "ax.set_title(u'2020年東京都知事選 地域別絶対得票率(得票数/有権者数)(%) \\n', ipag10)\n",
    "ax.set_xlabel('\\ndata source: 東京都知事選｜地方選挙 | NHK選挙WEB\\nhttps://www.nhk.or.jp/senkyo2/shutoken/16407/skh48032.html\\nCC BY-SA 4.0 kouki yamada', \n",
    "              ipag)\n",
    "_=ax.set_ylabel('')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}

2020都知事選 地域別 候補者得票率.ipynb