[ch4]Riot API 크롤링 및 시각화.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Riot API json 데이터 파싱"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<img src='data/photo/Riot.png'>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "Riot_url = 'https://developer.riotgames.com/'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 로그인"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<img src='data/photo/login.png'>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "from selenium import webdriver\n",
    "import time\n",
    "from bs4 import BeautifulSoup\n",
    "from urllib.request import urlopen\n",
    "import json, requests\n",
    "from pandas.io.json import json_normalize\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "driver = webdriver.Chrome(r'C:\\Users\\유정수\\Downloads\\chromedriver_win32/chromedriver')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "driver.get(Riot_url)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "#로그인 버튼 누름\n",
    "driver.find_element_by_xpath('//*[@id=\"site-navbar-collapse\"]/ul[2]/li/a').click()\n",
    "\n",
    "time.sleep(2)\n",
    "\n",
    "#id와 password 입력\n",
    "user_name = driver.find_element_by_xpath('//*[@id=\"rso-login-wrap\"]/div[1]/div[1]/span/div/form/div[1]/input')\n",
    "user_name.send_keys('youjeongsu')\n",
    "\n",
    "password = driver.find_element_by_xpath('//*[@id=\"rso-login-wrap\"]/div[1]/div[1]/span/div/form/div[2]/input')\n",
    "password.send_keys('rhkdgus011!')\n",
    "\n",
    "#나라 KR 로 설정 후 로그인 버튼 클릭\n",
    "driver.find_element_by_xpath('//*[@id=\"region-selector\"]/span').click()\n",
    "driver.find_element_by_xpath('//*[@id=\"region-selector\"]/span/select/option[5]').click()\n",
    "driver.find_element_by_xpath('//*[@id=\"login-button\"]').click()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## API 접근"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 이름 -> 고유 ID"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "name_url = 'https://developer.riotgames.com/api-methods/#summoner-v4/GET_getBySummonerName'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "driver.get(name_url)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "NAME='경희대대두'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'https://kr.api.riotgames.com/lol/summoner/v4/summoners/by-name/%EA%B2%BD%ED%9D%AC%EB%8C%80%EB%8C%80%EB%91%90?api_key=RGAPI-8fdef470-3181-4418-92ac-8ad5065c3e01'"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#이름 입력\n",
    "summonerName = driver.find_element_by_xpath('//*[@id=\"execute_inputs_summoner-v4_GET_getBySummonerName\"]/form/div[1]/table/tbody/tr/td[2]/input')\n",
    "summonerName.clear()\n",
    "summonerName.send_keys(NAME)\n",
    "driver.find_element_by_xpath('//*[@id=\"execute_inputs_summoner-v4_GET_getBySummonerName\"]/form/div[2]/div[2]/label/input').click()\n",
    "driver.find_element_by_xpath('//*[@id=\"execute_summoner-v4_GET_getBySummonerName\"]').click()\n",
    "\n",
    "time.sleep(2)\n",
    "\n",
    "#REQUEST URL -> json 받아오기\n",
    "html = driver.page_source\n",
    "soup = BeautifulSoup(html, 'html.parser')\n",
    "REQUEST_URL = soup.select('div > div > div > a')[0]['href']\n",
    "REQUEST_URL"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>status.message</th>\n",
       "      <th>status.status_code</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Forbidden</td>\n",
       "      <td>403</td>\n",
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       "  </tbody>\n",
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      "text/plain": [
       "  status.message  status.status_code\n",
       "0      Forbidden                 403"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "r = requests.get(REQUEST_URL)\n",
    "tmp = json_normalize(json.loads(r.text))\n",
    "tmp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {},
   "outputs": [],
   "source": [
    "tmp['name'] = tmp['name'].map(lambda x : x.replace(' ',''))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>accountId</th>\n",
       "      <th>id</th>\n",
       "      <th>name</th>\n",
       "      <th>profileIconId</th>\n",
       "      <th>puuid</th>\n",
       "      <th>revisionDate</th>\n",
       "      <th>summonerLevel</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1jV-1dIvn6GdeC7VHLUWxPL_cMh7pkKCHOIsd9TpvkkhuOg</td>\n",
       "      <td>dNokKjZjcmb5n1Y469CBVoZ_n8AmwfAe5c5JS1Ia_42zoXE</td>\n",
       "      <td>원딜가는주형이</td>\n",
       "      <td>3810</td>\n",
       "      <td>8zS-xDkZsnP5DAcAfjC0l89E506-z6IypGa2sfoiTIEgaS...</td>\n",
       "      <td>1549347496000</td>\n",
       "      <td>77</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                         accountId  \\\n",
       "0  1jV-1dIvn6GdeC7VHLUWxPL_cMh7pkKCHOIsd9TpvkkhuOg   \n",
       "\n",
       "                                                id     name  profileIconId  \\\n",
       "0  dNokKjZjcmb5n1Y469CBVoZ_n8AmwfAe5c5JS1Ia_42zoXE  원딜가는주형이           3810   \n",
       "\n",
       "                                               puuid   revisionDate  \\\n",
       "0  8zS-xDkZsnP5DAcAfjC0l89E506-z6IypGa2sfoiTIEgaS...  1549347496000   \n",
       "\n",
       "   summonerLevel  \n",
       "0             77  "
      ]
     },
     "execution_count": 89,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tmp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [],
   "source": [
    "user_table = pd.DataFrame()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {},
   "outputs": [],
   "source": [
    "user_table = user_table.drop_duplicates(['id'], keep=False)\n",
    "\n",
    "user_table = user_table.append(tmp, ignore_index=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>accountId</th>\n",
       "      <th>id</th>\n",
       "      <th>name</th>\n",
       "      <th>profileIconId</th>\n",
       "      <th>puuid</th>\n",
       "      <th>revisionDate</th>\n",
       "      <th>summonerLevel</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>b0TWE_pUjR5aDRwLC8tSPEKaTANLWzv6muuc4JcmHRj2Xek</td>\n",
       "      <td>e4FssD2VtMnbcFjYM9rZqwmP7mcrDxfhBh0jPxzjPn9fTbE</td>\n",
       "      <td>산공</td>\n",
       "      <td>3024</td>\n",
       "      <td>0VweEAseewtIg5cITbNwCAHbK-MyeCwzc05iR8NuNTiyKU...</td>\n",
       "      <td>1549325124000</td>\n",
       "      <td>91</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>cSJ1MjLlUZ1wQy-5TWdwrbV4pM8O3e2wsNSsusWtleWk</td>\n",
       "      <td>C3-3SYIYtXxuOw9RuQ3WgjjPUU7Nhd8_YUwnr3CSgvgbYQ</td>\n",
       "      <td>감승가</td>\n",
       "      <td>642</td>\n",
       "      <td>RBJ8Ber7FK6Ac4it1ciUJKiSyKntW5i0anfuqHDa4OssjN...</td>\n",
       "      <td>1549324031000</td>\n",
       "      <td>74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>kM1T3O9iA6eni2I_j39IbEm5fdVK_ko1xaY6QW2LKR42M9E</td>\n",
       "      <td>J-aVyM0_MzbS2RygCWuxmlB3gvFNAUKwKBirclVAoY1CT5E</td>\n",
       "      <td>무빙하나로살아옴</td>\n",
       "      <td>1666</td>\n",
       "      <td>kVFrI5xZ6zBQV3eFAqiwNIqVYhdCpUbI7cxlevAsYxW6X1...</td>\n",
       "      <td>1549329136000</td>\n",
       "      <td>221</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>7Atru3x4WwCZtiJLDETPd27NLtLZDYSn3BaklWtq3J1vO9U</td>\n",
       "      <td>V3YeRXPI2QqzGBKezV8kZHzCPvK6DwaCf-w46eKuwtlmD6E</td>\n",
       "      <td>룰루는정직해</td>\n",
       "      <td>642</td>\n",
       "      <td>v1LnNI7SlppJjvulvVyV2zWYvflXI5qcNsLmwbLrJomwsU...</td>\n",
       "      <td>1549309374000</td>\n",
       "      <td>174</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1jV-1dIvn6GdeC7VHLUWxPL_cMh7pkKCHOIsd9TpvkkhuOg</td>\n",
       "      <td>dNokKjZjcmb5n1Y469CBVoZ_n8AmwfAe5c5JS1Ia_42zoXE</td>\n",
       "      <td>원딜가는주형이</td>\n",
       "      <td>3810</td>\n",
       "      <td>8zS-xDkZsnP5DAcAfjC0l89E506-z6IypGa2sfoiTIEgaS...</td>\n",
       "      <td>1549347496000</td>\n",
       "      <td>77</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                         accountId  \\\n",
       "0  b0TWE_pUjR5aDRwLC8tSPEKaTANLWzv6muuc4JcmHRj2Xek   \n",
       "1     cSJ1MjLlUZ1wQy-5TWdwrbV4pM8O3e2wsNSsusWtleWk   \n",
       "2  kM1T3O9iA6eni2I_j39IbEm5fdVK_ko1xaY6QW2LKR42M9E   \n",
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       "4  1jV-1dIvn6GdeC7VHLUWxPL_cMh7pkKCHOIsd9TpvkkhuOg   \n",
       "\n",
       "                                                id      name  profileIconId  \\\n",
       "0  e4FssD2VtMnbcFjYM9rZqwmP7mcrDxfhBh0jPxzjPn9fTbE        산공           3024   \n",
       "1   C3-3SYIYtXxuOw9RuQ3WgjjPUU7Nhd8_YUwnr3CSgvgbYQ       감승가            642   \n",
       "2  J-aVyM0_MzbS2RygCWuxmlB3gvFNAUKwKBirclVAoY1CT5E  무빙하나로살아옴           1666   \n",
       "3  V3YeRXPI2QqzGBKezV8kZHzCPvK6DwaCf-w46eKuwtlmD6E    룰루는정직해            642   \n",
       "4  dNokKjZjcmb5n1Y469CBVoZ_n8AmwfAe5c5JS1Ia_42zoXE   원딜가는주형이           3810   \n",
       "\n",
       "                                               puuid   revisionDate  \\\n",
       "0  0VweEAseewtIg5cITbNwCAHbK-MyeCwzc05iR8NuNTiyKU...  1549325124000   \n",
       "1  RBJ8Ber7FK6Ac4it1ciUJKiSyKntW5i0anfuqHDa4OssjN...  1549324031000   \n",
       "2  kVFrI5xZ6zBQV3eFAqiwNIqVYhdCpUbI7cxlevAsYxW6X1...  1549329136000   \n",
       "3  v1LnNI7SlppJjvulvVyV2zWYvflXI5qcNsLmwbLrJomwsU...  1549309374000   \n",
       "4  8zS-xDkZsnP5DAcAfjC0l89E506-z6IypGa2sfoiTIEgaS...  1549347496000   \n",
       "\n",
       "   summonerLevel  \n",
       "0             91  \n",
       "1             74  \n",
       "2            221  \n",
       "3            174  \n",
       "4             77  "
      ]
     },
     "execution_count": 91,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "user_table"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "metadata": {},
   "outputs": [],
   "source": [
    "user_table.reset_index(inplace=True)\n",
    "del user_table['index']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "metadata": {},
   "outputs": [],
   "source": [
    "NAME='원딜가는주형이'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 135,
   "metadata": {},
   "outputs": [],
   "source": [
    "ID = list(user_table.loc[user_table.name==NAME, 'id'])[0]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "------------------------------"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 고유 ID -> 리그 정보"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "metadata": {},
   "outputs": [],
   "source": [
    "league_url = 'https://developer.riotgames.com/api-methods/#league-v4/GET_getAllLeaguePositionsForSummoner'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "metadata": {},
   "outputs": [],
   "source": [
    "driver.get(league_url)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 136,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>freshBlood</th>\n",
       "      <th>hotStreak</th>\n",
       "      <th>inactive</th>\n",
       "      <th>leagueId</th>\n",
       "      <th>leagueName</th>\n",
       "      <th>leaguePoints</th>\n",
       "      <th>losses</th>\n",
       "      <th>miniSeries.losses</th>\n",
       "      <th>miniSeries.progress</th>\n",
       "      <th>miniSeries.target</th>\n",
       "      <th>miniSeries.wins</th>\n",
       "      <th>position</th>\n",
       "      <th>queueType</th>\n",
       "      <th>rank</th>\n",
       "      <th>summonerId</th>\n",
       "      <th>summonerName</th>\n",
       "      <th>tier</th>\n",
       "      <th>veteran</th>\n",
       "      <th>wins</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>00000000-0000-0000-0000-000000000000</td>\n",
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       "      <td>100</td>\n",
       "      <td>8</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NNN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>TOP</td>\n",
       "      <td>RANKED_SOLO_5x5</td>\n",
       "      <td>IV</td>\n",
       "      <td>dNokKjZjcmb5n1Y469CBVoZ_n8AmwfAe5c5JS1Ia_42zoXE</td>\n",
       "      <td>원딜가는 주형이</td>\n",
       "      <td>PLATINUM</td>\n",
       "      <td>False</td>\n",
       "      <td>13</td>\n",
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       "    <tr>\n",
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       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>00000000-0000-0000-0000-000000000000</td>\n",
       "      <td></td>\n",
       "      <td>79</td>\n",
       "      <td>8</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>JUNGLE</td>\n",
       "      <td>RANKED_SOLO_5x5</td>\n",
       "      <td>IV</td>\n",
       "      <td>dNokKjZjcmb5n1Y469CBVoZ_n8AmwfAe5c5JS1Ia_42zoXE</td>\n",
       "      <td>원딜가는 주형이</td>\n",
       "      <td>PLATINUM</td>\n",
       "      <td>False</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>00000000-0000-0000-0000-000000000000</td>\n",
       "      <td></td>\n",
       "      <td>100</td>\n",
       "      <td>33</td>\n",
       "      <td>0.0</td>\n",
       "      <td>WNN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>BOTTOM</td>\n",
       "      <td>RANKED_SOLO_5x5</td>\n",
       "      <td>IV</td>\n",
       "      <td>dNokKjZjcmb5n1Y469CBVoZ_n8AmwfAe5c5JS1Ia_42zoXE</td>\n",
       "      <td>원딜가는 주형이</td>\n",
       "      <td>PLATINUM</td>\n",
       "      <td>False</td>\n",
       "      <td>29</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   freshBlood  hotStreak  inactive                              leagueId  \\\n",
       "0       False      False     False  00000000-0000-0000-0000-000000000000   \n",
       "1       False       True     False  00000000-0000-0000-0000-000000000000   \n",
       "2        True      False     False  00000000-0000-0000-0000-000000000000   \n",
       "\n",
       "  leagueName  leaguePoints  losses  miniSeries.losses miniSeries.progress  \\\n",
       "0                      100       8                0.0                 NNN   \n",
       "1                       79       8                NaN                 NaN   \n",
       "2                      100      33                0.0                 WNN   \n",
       "\n",
       "   miniSeries.target  miniSeries.wins position        queueType rank  \\\n",
       "0                2.0              0.0      TOP  RANKED_SOLO_5x5   IV   \n",
       "1                NaN              NaN   JUNGLE  RANKED_SOLO_5x5   IV   \n",
       "2                2.0              1.0   BOTTOM  RANKED_SOLO_5x5   IV   \n",
       "\n",
       "                                        summonerId summonerName      tier  \\\n",
       "0  dNokKjZjcmb5n1Y469CBVoZ_n8AmwfAe5c5JS1Ia_42zoXE     원딜가는 주형이  PLATINUM   \n",
       "1  dNokKjZjcmb5n1Y469CBVoZ_n8AmwfAe5c5JS1Ia_42zoXE     원딜가는 주형이  PLATINUM   \n",
       "2  dNokKjZjcmb5n1Y469CBVoZ_n8AmwfAe5c5JS1Ia_42zoXE     원딜가는 주형이  PLATINUM   \n",
       "\n",
       "   veteran  wins  \n",
       "0    False    13  \n",
       "1    False    13  \n",
       "2    False    29  "
      ]
     },
     "execution_count": 136,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#ID 입력\n",
    "summonerID = driver.find_element_by_xpath('//*[@id=\"execute_inputs_league-v4_GET_getAllLeaguePositionsForSummoner\"]/form/div[1]/table/tbody/tr/td[2]/input')\n",
    "\n",
    "summonerID.clear()\n",
    "summonerID.send_keys(ID)\n",
    "driver.find_element_by_xpath('//*[@id=\"execute_inputs_league-v4_GET_getAllLeaguePositionsForSummoner\"]/form/div[2]/div[2]/label/input').click()\n",
    "driver.find_element_by_xpath('//*[@id=\"execute_league-v4_GET_getAllLeaguePositionsForSummoner\"]').click()\n",
    "\n",
    "time.sleep(2)\n",
    "\n",
    "#REQUEST URL -> json 받아오기\n",
    "html = driver.page_source\n",
    "soup = BeautifulSoup(html, 'html.parser')\n",
    "REQUEST_URL = soup.select('div > div > div > a')[0]['href']\n",
    "\n",
    "r = requests.get(REQUEST_URL)\n",
    "json_normalize(json.loads(r.text))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "metadata": {},
   "outputs": [],
   "source": [
    "league_table = pd.DataFrame()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "metadata": {},
   "outputs": [],
   "source": [
    "league_table = league_table.append(json_normalize(json.loads(r.text)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 137,
   "metadata": {},
   "outputs": [],
   "source": [
    "league_table.drop(league_table[league_table.summonerId==ID].index, inplace=True)\n",
    "\n",
    "tmp = json_normalize(json.loads(r.text))[json_normalize(json.loads(r.text)).queueType=='RANKED_SOLO_5x5']\n",
    "\n",
    "tmp['summonerName'] = tmp['summonerName'].map(lambda x : x.replace(' ',''))\n",
    "\n",
    "tmp['total'] = (tmp['wins'] + tmp['losses'].map(lambda x : int(x)))\n",
    "tmp['rate'] = tmp['wins'] / tmp['losses']\n",
    "\n",
    "tmp = tmp[['summonerName', 'position', 'tier', 'rank', 'leaguePoints', 'wins', 'losses', 'total', 'rate', 'summonerId']]\n",
    "league_table = league_table.append(tmp, ignore_index=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "\n",
       "    .dataframe thead th {\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>summonerName</th>\n",
       "      <th>position</th>\n",
       "      <th>tier</th>\n",
       "      <th>rank</th>\n",
       "      <th>leaguePoints</th>\n",
       "      <th>wins</th>\n",
       "      <th>losses</th>\n",
       "      <th>total</th>\n",
       "      <th>rate</th>\n",
       "      <th>summonerId</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>무빙하나로살아옴</td>\n",
       "      <td>TOP</td>\n",
       "      <td>PLATINUM</td>\n",
       "      <td>III</td>\n",
       "      <td>15</td>\n",
       "      <td>18</td>\n",
       "      <td>10</td>\n",
       "      <td>28</td>\n",
       "      <td>1.800000</td>\n",
       "      <td>J-aVyM0_MzbS2RygCWuxmlB3gvFNAUKwKBirclVAoY1CT5E</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>무빙하나로살아옴</td>\n",
       "      <td>MIDDLE</td>\n",
       "      <td>PLATINUM</td>\n",
       "      <td>III</td>\n",
       "      <td>6</td>\n",
       "      <td>16</td>\n",
       "      <td>13</td>\n",
       "      <td>29</td>\n",
       "      <td>1.230769</td>\n",
       "      <td>J-aVyM0_MzbS2RygCWuxmlB3gvFNAUKwKBirclVAoY1CT5E</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>무빙하나로살아옴</td>\n",
       "      <td>BOTTOM</td>\n",
       "      <td>PLATINUM</td>\n",
       "      <td>III</td>\n",
       "      <td>37</td>\n",
       "      <td>11</td>\n",
       "      <td>7</td>\n",
       "      <td>18</td>\n",
       "      <td>1.571429</td>\n",
       "      <td>J-aVyM0_MzbS2RygCWuxmlB3gvFNAUKwKBirclVAoY1CT5E</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>무빙하나로살아옴</td>\n",
       "      <td>UTILITY</td>\n",
       "      <td>PLATINUM</td>\n",
       "      <td>IV</td>\n",
       "      <td>100</td>\n",
       "      <td>8</td>\n",
       "      <td>5</td>\n",
       "      <td>13</td>\n",
       "      <td>1.600000</td>\n",
       "      <td>J-aVyM0_MzbS2RygCWuxmlB3gvFNAUKwKBirclVAoY1CT5E</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  summonerName position      tier rank  leaguePoints  wins  losses  total  \\\n",
       "0     무빙하나로살아옴      TOP  PLATINUM  III            15    18      10     28   \n",
       "1     무빙하나로살아옴   MIDDLE  PLATINUM  III             6    16      13     29   \n",
       "2     무빙하나로살아옴   BOTTOM  PLATINUM  III            37    11       7     18   \n",
       "3     무빙하나로살아옴  UTILITY  PLATINUM   IV           100     8       5     13   \n",
       "\n",
       "       rate                                       summonerId  \n",
       "0  1.800000  J-aVyM0_MzbS2RygCWuxmlB3gvFNAUKwKBirclVAoY1CT5E  \n",
       "1  1.230769  J-aVyM0_MzbS2RygCWuxmlB3gvFNAUKwKBirclVAoY1CT5E  \n",
       "2  1.571429  J-aVyM0_MzbS2RygCWuxmlB3gvFNAUKwKBirclVAoY1CT5E  \n",
       "3  1.600000  J-aVyM0_MzbS2RygCWuxmlB3gvFNAUKwKBirclVAoY1CT5E  "
      ]
     },
     "execution_count": 121,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tmp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 337,
   "metadata": {},
   "outputs": [],
   "source": [
    "league_table.reset_index(inplace=True)\n",
    "del league_table['index']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 455,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "    }\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>summonerName</th>\n",
       "      <th>position</th>\n",
       "      <th>tier</th>\n",
       "      <th>rank</th>\n",
       "      <th>leaguePoints</th>\n",
       "      <th>wins</th>\n",
       "      <th>losses</th>\n",
       "      <th>summonerId</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>감승가</td>\n",
       "      <td>BOTTOM</td>\n",
       "      <td>GOLD</td>\n",
       "      <td>III</td>\n",
       "      <td>75</td>\n",
       "      <td>25</td>\n",
       "      <td>26</td>\n",
       "      <td>C3-3SYIYtXxuOw9RuQ3WgjjPUU7Nhd8_YUwnr3CSgvgbYQ</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>산 공</td>\n",
       "      <td>UTILITY</td>\n",
       "      <td>PLATINUM</td>\n",
       "      <td>IV</td>\n",
       "      <td>70</td>\n",
       "      <td>15</td>\n",
       "      <td>17</td>\n",
       "      <td>e4FssD2VtMnbcFjYM9rZqwmP7mcrDxfhBh0jPxzjPn9fTbE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>룰루는 정직해</td>\n",
       "      <td>NONE</td>\n",
       "      <td>GOLD</td>\n",
       "      <td>II</td>\n",
       "      <td>37</td>\n",
       "      <td>6</td>\n",
       "      <td>5</td>\n",
       "      <td>V3YeRXPI2QqzGBKezV8kZHzCPvK6DwaCf-w46eKuwtlmD6E</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>룰루는 정직해</td>\n",
       "      <td>BOTTOM</td>\n",
       "      <td>PLATINUM</td>\n",
       "      <td>I</td>\n",
       "      <td>0</td>\n",
       "      <td>31</td>\n",
       "      <td>22</td>\n",
       "      <td>V3YeRXPI2QqzGBKezV8kZHzCPvK6DwaCf-w46eKuwtlmD6E</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  summonerName position      tier rank  leaguePoints  wins  losses  \\\n",
       "0          감승가   BOTTOM      GOLD  III            75    25      26   \n",
       "1          산 공  UTILITY  PLATINUM   IV            70    15      17   \n",
       "2      룰루는 정직해     NONE      GOLD   II            37     6       5   \n",
       "3      룰루는 정직해   BOTTOM  PLATINUM    I             0    31      22   \n",
       "\n",
       "                                        summonerId  \n",
       "0   C3-3SYIYtXxuOw9RuQ3WgjjPUU7Nhd8_YUwnr3CSgvgbYQ  \n",
       "1  e4FssD2VtMnbcFjYM9rZqwmP7mcrDxfhBh0jPxzjPn9fTbE  \n",
       "2  V3YeRXPI2QqzGBKezV8kZHzCPvK6DwaCf-w46eKuwtlmD6E  \n",
       "3  V3YeRXPI2QqzGBKezV8kZHzCPvK6DwaCf-w46eKuwtlmD6E  "
      ]
     },
     "execution_count": 455,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#예시\n",
    "league_table"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 138,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "    .dataframe tbody tr th {\n",
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       "\n",
       "    .dataframe thead th {\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>summonerName</th>\n",
       "      <th>position</th>\n",
       "      <th>tier</th>\n",
       "      <th>rank</th>\n",
       "      <th>leaguePoints</th>\n",
       "      <th>wins</th>\n",
       "      <th>losses</th>\n",
       "      <th>total</th>\n",
       "      <th>rate</th>\n",
       "      <th>summonerId</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>산공</td>\n",
       "      <td>UTILITY</td>\n",
       "      <td>PLATINUM</td>\n",
       "      <td>IV</td>\n",
       "      <td>70</td>\n",
       "      <td>15</td>\n",
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       "      <td>0.882353</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>무빙하나로살아옴</td>\n",
       "      <td>TOP</td>\n",
       "      <td>PLATINUM</td>\n",
       "      <td>III</td>\n",
       "      <td>15</td>\n",
       "      <td>18</td>\n",
       "      <td>10</td>\n",
       "      <td>28</td>\n",
       "      <td>1.800000</td>\n",
       "      <td>J-aVyM0_MzbS2RygCWuxmlB3gvFNAUKwKBirclVAoY1CT5E</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>무빙하나로살아옴</td>\n",
       "      <td>MIDDLE</td>\n",
       "      <td>PLATINUM</td>\n",
       "      <td>III</td>\n",
       "      <td>6</td>\n",
       "      <td>16</td>\n",
       "      <td>13</td>\n",
       "      <td>29</td>\n",
       "      <td>1.230769</td>\n",
       "      <td>J-aVyM0_MzbS2RygCWuxmlB3gvFNAUKwKBirclVAoY1CT5E</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>무빙하나로살아옴</td>\n",
       "      <td>BOTTOM</td>\n",
       "      <td>PLATINUM</td>\n",
       "      <td>III</td>\n",
       "      <td>37</td>\n",
       "      <td>11</td>\n",
       "      <td>7</td>\n",
       "      <td>18</td>\n",
       "      <td>1.571429</td>\n",
       "      <td>J-aVyM0_MzbS2RygCWuxmlB3gvFNAUKwKBirclVAoY1CT5E</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>무빙하나로살아옴</td>\n",
       "      <td>UTILITY</td>\n",
       "      <td>PLATINUM</td>\n",
       "      <td>IV</td>\n",
       "      <td>100</td>\n",
       "      <td>8</td>\n",
       "      <td>5</td>\n",
       "      <td>13</td>\n",
       "      <td>1.600000</td>\n",
       "      <td>J-aVyM0_MzbS2RygCWuxmlB3gvFNAUKwKBirclVAoY1CT5E</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>감승가</td>\n",
       "      <td>BOTTOM</td>\n",
       "      <td>GOLD</td>\n",
       "      <td>III</td>\n",
       "      <td>75</td>\n",
       "      <td>25</td>\n",
       "      <td>26</td>\n",
       "      <td>51</td>\n",
       "      <td>0.961538</td>\n",
       "      <td>C3-3SYIYtXxuOw9RuQ3WgjjPUU7Nhd8_YUwnr3CSgvgbYQ</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>룰루는정직해</td>\n",
       "      <td>BOTTOM</td>\n",
       "      <td>PLATINUM</td>\n",
       "      <td>I</td>\n",
       "      <td>0</td>\n",
       "      <td>31</td>\n",
       "      <td>22</td>\n",
       "      <td>53</td>\n",
       "      <td>1.409091</td>\n",
       "      <td>V3YeRXPI2QqzGBKezV8kZHzCPvK6DwaCf-w46eKuwtlmD6E</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>원딜가는주형이</td>\n",
       "      <td>TOP</td>\n",
       "      <td>PLATINUM</td>\n",
       "      <td>IV</td>\n",
       "      <td>100</td>\n",
       "      <td>13</td>\n",
       "      <td>8</td>\n",
       "      <td>21</td>\n",
       "      <td>1.625000</td>\n",
       "      <td>dNokKjZjcmb5n1Y469CBVoZ_n8AmwfAe5c5JS1Ia_42zoXE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>원딜가는주형이</td>\n",
       "      <td>JUNGLE</td>\n",
       "      <td>PLATINUM</td>\n",
       "      <td>IV</td>\n",
       "      <td>79</td>\n",
       "      <td>13</td>\n",
       "      <td>8</td>\n",
       "      <td>21</td>\n",
       "      <td>1.625000</td>\n",
       "      <td>dNokKjZjcmb5n1Y469CBVoZ_n8AmwfAe5c5JS1Ia_42zoXE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>원딜가는주형이</td>\n",
       "      <td>BOTTOM</td>\n",
       "      <td>PLATINUM</td>\n",
       "      <td>IV</td>\n",
       "      <td>100</td>\n",
       "      <td>29</td>\n",
       "      <td>33</td>\n",
       "      <td>62</td>\n",
       "      <td>0.878788</td>\n",
       "      <td>dNokKjZjcmb5n1Y469CBVoZ_n8AmwfAe5c5JS1Ia_42zoXE</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  summonerName position      tier rank  leaguePoints  wins  losses  total  \\\n",
       "0           산공  UTILITY  PLATINUM   IV            70    15      17     32   \n",
       "1     무빙하나로살아옴      TOP  PLATINUM  III            15    18      10     28   \n",
       "2     무빙하나로살아옴   MIDDLE  PLATINUM  III             6    16      13     29   \n",
       "3     무빙하나로살아옴   BOTTOM  PLATINUM  III            37    11       7     18   \n",
       "4     무빙하나로살아옴  UTILITY  PLATINUM   IV           100     8       5     13   \n",
       "5          감승가   BOTTOM      GOLD  III            75    25      26     51   \n",
       "6       룰루는정직해   BOTTOM  PLATINUM    I             0    31      22     53   \n",
       "7      원딜가는주형이      TOP  PLATINUM   IV           100    13       8     21   \n",
       "8      원딜가는주형이   JUNGLE  PLATINUM   IV            79    13       8     21   \n",
       "9      원딜가는주형이   BOTTOM  PLATINUM   IV           100    29      33     62   \n",
       "\n",
       "       rate                                       summonerId  \n",
       "0  0.882353  e4FssD2VtMnbcFjYM9rZqwmP7mcrDxfhBh0jPxzjPn9fTbE  \n",
       "1  1.800000  J-aVyM0_MzbS2RygCWuxmlB3gvFNAUKwKBirclVAoY1CT5E  \n",
       "2  1.230769  J-aVyM0_MzbS2RygCWuxmlB3gvFNAUKwKBirclVAoY1CT5E  \n",
       "3  1.571429  J-aVyM0_MzbS2RygCWuxmlB3gvFNAUKwKBirclVAoY1CT5E  \n",
       "4  1.600000  J-aVyM0_MzbS2RygCWuxmlB3gvFNAUKwKBirclVAoY1CT5E  \n",
       "5  0.961538   C3-3SYIYtXxuOw9RuQ3WgjjPUU7Nhd8_YUwnr3CSgvgbYQ  \n",
       "6  1.409091  V3YeRXPI2QqzGBKezV8kZHzCPvK6DwaCf-w46eKuwtlmD6E  \n",
       "7  1.625000  dNokKjZjcmb5n1Y469CBVoZ_n8AmwfAe5c5JS1Ia_42zoXE  \n",
       "8  1.625000  dNokKjZjcmb5n1Y469CBVoZ_n8AmwfAe5c5JS1Ia_42zoXE  \n",
       "9  0.878788  dNokKjZjcmb5n1Y469CBVoZ_n8AmwfAe5c5JS1Ia_42zoXE  "
      ]
     },
     "execution_count": 138,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "league_table"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 163,
   "metadata": {},
   "outputs": [],
   "source": [
    "league_table.to_csv('data/ch04.league_table_0206.csv', encoding='utf-8')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "metadata": {},
   "outputs": [],
   "source": [
    "league_table = league_table[['summonerName', 'position', 'tier', 'rank', 'leaguePoints', 'wins', 'losses', 'total', 'rate', 'summonerId']]\n",
    "league_table['total'] = (league_table['wins'] + league_table['losses'].map(lambda x : int(x)))\n",
    "league_table['rate'] = league_table['wins'] / league_table['losses']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 542,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    False\n",
       "1    False\n",
       "2    False\n",
       "3     True\n",
       "4     True\n",
       "5     True\n",
       "6     True\n",
       "7     True\n",
       "8     True\n",
       "9     True\n",
       "dtype: bool"
      ]
     },
     "execution_count": 542,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "league_table.duplicated(['summonerId'], keep=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 569,
   "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>wins</th>\n",
       "      <th>losses</th>\n",
       "      <th>total</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>summonerName</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>감승가</th>\n",
       "      <td>25</td>\n",
       "      <td>26</td>\n",
       "      <td>51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>룰루는정직해</th>\n",
       "      <td>31</td>\n",
       "      <td>22</td>\n",
       "      <td>53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>무빙하나로살아옴</th>\n",
       "      <td>53</td>\n",
       "      <td>35</td>\n",
       "      <td>88</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>산 공</th>\n",
       "      <td>15</td>\n",
       "      <td>17</td>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>원딜가는주형이</th>\n",
       "      <td>53</td>\n",
       "      <td>49</td>\n",
       "      <td>102</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              wins  losses  total\n",
       "summonerName                     \n",
       "감승가             25      26     51\n",
       "룰루는정직해          31      22     53\n",
       "무빙하나로살아옴        53      35     88\n",
       "산 공             15      17     32\n",
       "원딜가는주형이         53      49    102"
      ]
     },
     "execution_count": 569,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "league_table.groupby('summonerName')['wins', 'losses', 'total'].sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 575,
   "metadata": {
    "scrolled": true
   },
   "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>position</th>\n",
       "      <th>BOTTOM</th>\n",
       "      <th>JUNGLE</th>\n",
       "      <th>MIDDLE</th>\n",
       "      <th>TOP</th>\n",
       "      <th>UTILITY</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>summonerName</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>감승가</th>\n",
       "      <td>0.961538</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>룰루는정직해</th>\n",
       "      <td>1.409091</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>무빙하나로살아옴</th>\n",
       "      <td>1.571429</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.230769</td>\n",
       "      <td>1.8</td>\n",
       "      <td>1.600000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>산 공</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.882353</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>원딜가는주형이</th>\n",
       "      <td>0.848485</td>\n",
       "      <td>1.625</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.5</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "position        BOTTOM  JUNGLE    MIDDLE  TOP   UTILITY\n",
       "summonerName                                           \n",
       "감승가           0.961538     NaN       NaN  NaN       NaN\n",
       "룰루는정직해        1.409091     NaN       NaN  NaN       NaN\n",
       "무빙하나로살아옴      1.571429     NaN  1.230769  1.8  1.600000\n",
       "산 공                NaN     NaN       NaN  NaN  0.882353\n",
       "원딜가는주형이       0.848485   1.625       NaN  1.5       NaN"
      ]
     },
     "execution_count": 575,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "league_table.groupby(['summonerName', 'position'])['rate'].mean().unstack('position')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "------------------------------"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 소환사의 협곡에 나타내기"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<img src='data/photo/map.png'>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "import folium\n",
    "import cv2\n",
    "import numpy as np\n",
    "from PIL import Image\n",
    "\n",
    "import platform\n",
    "from matplotlib import font_manager, rc\n",
    "plt.rcParams['axes.unicode_minus']=False\n",
    "\n",
    "path = 'C:/Windows/Fonts/malgun.ttf'\n",
    "font_name = font_manager.FontProperties(fname=path).get_name()\n",
    "rc('font', family=font_name)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 260,
   "metadata": {},
   "outputs": [],
   "source": [
    "NAME = '무빙하나로살아옴'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 261,
   "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>summonerName</th>\n",
       "      <th>position</th>\n",
       "      <th>total</th>\n",
       "      <th>rate</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>무빙하나로살아옴</td>\n",
       "      <td>TOP</td>\n",
       "      <td>28</td>\n",
       "      <td>1.800000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>무빙하나로살아옴</td>\n",
       "      <td>MIDDLE</td>\n",
       "      <td>29</td>\n",
       "      <td>1.230769</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>무빙하나로살아옴</td>\n",
       "      <td>BOTTOM</td>\n",
       "      <td>18</td>\n",
       "      <td>1.571429</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>무빙하나로살아옴</td>\n",
       "      <td>UTILITY</td>\n",
       "      <td>13</td>\n",
       "      <td>1.600000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  summonerName position  total      rate\n",
       "1     무빙하나로살아옴      TOP     28  1.800000\n",
       "2     무빙하나로살아옴   MIDDLE     29  1.230769\n",
       "3     무빙하나로살아옴   BOTTOM     18  1.571429\n",
       "4     무빙하나로살아옴  UTILITY     13  1.600000"
      ]
     },
     "execution_count": 261,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tmp = league_table.loc[league_table['summonerName']==NAME,['summonerName', 'position', 'total', 'rate']]\n",
    "tmp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 212,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "from matplotlib.patches import Circle"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 265,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#numpy를 사용하기 위해 배열로 바꿈\n",
    "img=np.asarray(Image.open('data/photo/map.png'))\n",
    "\n",
    "#유저 정보에 있는 라인만 출력하도록 함\n",
    "tmp = league_table.loc[league_table['summonerName']==NAME,['summonerName', 'position', 'total', 'rate']]\n",
    "\n",
    "total_sum = tmp.loc[:, 'total'].sum(axis=0)\n",
    "\n",
    "user_position = list(tmp['position'])\n",
    "        # ['TOP', 'MIDDLE',          'BOTTOM', 'UTILITY']\n",
    "\n",
    "position=['TOP', 'MIDDLE', 'JUNGLE', 'BOTTOM', 'UTILITY']\n",
    "x=[70, 250, 270, 400, 440]\n",
    "y=[70, 250, 390, 400, 440]\n",
    "\n",
    "for i in range(5):\n",
    "    if position[i] not in user_position:\n",
    "        x[i]=0\n",
    "        y[i]=0\n",
    "        \n",
    "while(0 in x):\n",
    "    x.remove(0)\n",
    "    y.remove(0)\n",
    "\n",
    "# Create a figure. Equal aspect so circles look circular\n",
    "fig,ax = plt.subplots(1)\n",
    "ax.set_aspect('equal')\n",
    "\n",
    "# Show the image\n",
    "ax.imshow(img)\n",
    "\n",
    "#픽률 - 원그리기\n",
    "i=0\n",
    "for xx,yy in zip(x,y):\n",
    "    size = (tmp.loc[tmp['position']==user_position[i],['total']] / total_sum * 170).values[0][0]\n",
    "    circ = Circle((xx,yy), size, facecolor='white', alpha=0.8)\n",
    "    ax.add_patch(circ)\n",
    "    i+=1\n",
    "\n",
    "# Show the image\n",
    "plt.title(NAME+' - pick rate')\n",
    "plt.show()\n",
    "fig.savefig('data/photo/ch04/{}_pick_0206.png'.format(NAME), format='png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 266,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#numpy를 사용하기 위해 배열로 바꿈\n",
    "img=np.asarray(Image.open('data/photo/map.png'))\n",
    "\n",
    "#유저 정보에 있는 라인만 출력하도록 함\n",
    "tmp = league_table.loc[league_table['summonerName']==NAME,['summonerName', 'position', 'total', 'rate']]\n",
    "\n",
    "high=sorted(list(tmp['rate']))[-1]\n",
    "\n",
    "user_position = list(tmp['position'])\n",
    "        # ['TOP', 'MIDDLE',          'BOTTOM', 'UTILITY']\n",
    "\n",
    "position=['TOP', 'MIDDLE', 'JUNGLE', 'BOTTOM', 'UTILITY']\n",
    "x=[70, 250, 270, 400, 440]\n",
    "y=[70, 250, 390, 400, 440]\n",
    "\n",
    "for i in range(5):\n",
    "    if position[i] not in user_position:\n",
    "        x[i]=0\n",
    "        y[i]=0\n",
    "        \n",
    "while(0 in x):\n",
    "    x.remove(0)\n",
    "    y.remove(0)\n",
    "\n",
    "# Create a figure. Equal aspect so circles look circular\n",
    "fig,ax = plt.subplots(1)\n",
    "ax.set_aspect('equal')\n",
    "\n",
    "# Show the image\n",
    "ax.imshow(img)\n",
    "\n",
    "#승률 - 원그리기\n",
    "i=0\n",
    "for xx,yy in zip(x,y):\n",
    "    size = (tmp.loc[tmp['position']==user_position[i],['rate']] / high * 60).values[0][0]\n",
    "    circ = Circle((xx,yy), size, facecolor='gold', alpha=0.7)\n",
    "    ax.add_patch(circ)\n",
    "    i+=1\n",
    "\n",
    "# Show the image\n",
    "plt.title(NAME+' - win rate')\n",
    "plt.show()\n",
    "fig.savefig('data/photo/ch04/{}_win_0206.png'.format(NAME), format='png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 270,
   "metadata": {
    "scrolled": true
   },
   "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>champion</th>\n",
       "      <th>gameId</th>\n",
       "      <th>lane</th>\n",
       "      <th>platformId</th>\n",
       "      <th>queue</th>\n",
       "      <th>role</th>\n",
       "      <th>season</th>\n",
       "      <th>timestamp</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>99</td>\n",
       "      <td>3529076942</td>\n",
       "      <td>BOTTOM</td>\n",
       "      <td>KR</td>\n",
       "      <td>420</td>\n",
       "      <td>DUO_SUPPORT</td>\n",
       "      <td>11</td>\n",
       "      <td>1549355824292</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>99</td>\n",
       "      <td>3529027304</td>\n",
       "      <td>BOTTOM</td>\n",
       "      <td>KR</td>\n",
       "      <td>420</td>\n",
       "      <td>DUO_SUPPORT</td>\n",
       "      <td>11</td>\n",
       "      <td>1549353618070</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>99</td>\n",
       "      <td>3529015399</td>\n",
       "      <td>NONE</td>\n",
       "      <td>KR</td>\n",
       "      <td>420</td>\n",
       "      <td>DUO</td>\n",
       "      <td>11</td>\n",
       "      <td>1549353187071</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>81</td>\n",
       "      <td>3528987224</td>\n",
       "      <td>BOTTOM</td>\n",
       "      <td>KR</td>\n",
       "      <td>420</td>\n",
       "      <td>DUO_CARRY</td>\n",
       "      <td>11</td>\n",
       "      <td>1549351379515</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>7</td>\n",
       "      <td>3528918819</td>\n",
       "      <td>MID</td>\n",
       "      <td>KR</td>\n",
       "      <td>420</td>\n",
       "      <td>SOLO</td>\n",
       "      <td>11</td>\n",
       "      <td>1549349307499</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>157</td>\n",
       "      <td>3528869852</td>\n",
       "      <td>TOP</td>\n",
       "      <td>KR</td>\n",
       "      <td>420</td>\n",
       "      <td>SOLO</td>\n",
       "      <td>11</td>\n",
       "      <td>1549346989249</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>238</td>\n",
       "      <td>3528884926</td>\n",
       "      <td>NONE</td>\n",
       "      <td>KR</td>\n",
       "      <td>420</td>\n",
       "      <td>DUO_SUPPORT</td>\n",
       "      <td>11</td>\n",
       "      <td>1549345611704</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>238</td>\n",
       "      <td>3528880795</td>\n",
       "      <td>NONE</td>\n",
       "      <td>KR</td>\n",
       "      <td>420</td>\n",
       "      <td>DUO</td>\n",
       "      <td>11</td>\n",
       "      <td>1549344349152</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>157</td>\n",
       "      <td>3528835272</td>\n",
       "      <td>MID</td>\n",
       "      <td>KR</td>\n",
       "      <td>420</td>\n",
       "      <td>SOLO</td>\n",
       "      <td>11</td>\n",
       "      <td>1549342513572</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>157</td>\n",
       "      <td>3528769706</td>\n",
       "      <td>TOP</td>\n",
       "      <td>KR</td>\n",
       "      <td>420</td>\n",
       "      <td>SOLO</td>\n",
       "      <td>11</td>\n",
       "      <td>1549340412055</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>164</td>\n",
       "      <td>3528775704</td>\n",
       "      <td>JUNGLE</td>\n",
       "      <td>KR</td>\n",
       "      <td>420</td>\n",
       "      <td>NONE</td>\n",
       "      <td>11</td>\n",
       "      <td>1549338807759</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>64</td>\n",
       "      <td>3528760231</td>\n",
       "      <td>JUNGLE</td>\n",
       "      <td>KR</td>\n",
       "      <td>420</td>\n",
       "      <td>NONE</td>\n",
       "      <td>11</td>\n",
       "      <td>1549336151789</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>92</td>\n",
       "      <td>3528736869</td>\n",
       "      <td>TOP</td>\n",
       "      <td>KR</td>\n",
       "      <td>420</td>\n",
       "      <td>SOLO</td>\n",
       "      <td>11</td>\n",
       "      <td>1549334411429</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>64</td>\n",
       "      <td>3527512636</td>\n",
       "      <td>JUNGLE</td>\n",
       "      <td>KR</td>\n",
       "      <td>420</td>\n",
       "      <td>NONE</td>\n",
       "      <td>11</td>\n",
       "      <td>1549268910353</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>64</td>\n",
       "      <td>3527451529</td>\n",
       "      <td>JUNGLE</td>\n",
       "      <td>KR</td>\n",
       "      <td>420</td>\n",
       "      <td>NONE</td>\n",
       "      <td>11</td>\n",
       "      <td>1549266714142</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>7</td>\n",
       "      <td>3527335850</td>\n",
       "      <td>BOTTOM</td>\n",
       "      <td>KR</td>\n",
       "      <td>420</td>\n",
       "      <td>DUO_CARRY</td>\n",
       "      <td>11</td>\n",
       "      <td>1549263632985</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>67</td>\n",
       "      <td>3527303430</td>\n",
       "      <td>BOTTOM</td>\n",
       "      <td>KR</td>\n",
       "      <td>420</td>\n",
       "      <td>DUO_CARRY</td>\n",
       "      <td>11</td>\n",
       "      <td>1549261240687</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>81</td>\n",
       "      <td>3527251781</td>\n",
       "      <td>BOTTOM</td>\n",
       "      <td>KR</td>\n",
       "      <td>420</td>\n",
       "      <td>DUO_CARRY</td>\n",
       "      <td>11</td>\n",
       "      <td>1549258655734</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>58</td>\n",
       "      <td>3527202899</td>\n",
       "      <td>TOP</td>\n",
       "      <td>KR</td>\n",
       "      <td>420</td>\n",
       "      <td>SOLO</td>\n",
       "      <td>11</td>\n",
       "      <td>1549256403812</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>67</td>\n",
       "      <td>3527158768</td>\n",
       "      <td>NONE</td>\n",
       "      <td>KR</td>\n",
       "      <td>900</td>\n",
       "      <td>DUO</td>\n",
       "      <td>11</td>\n",
       "      <td>1549255094213</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>99</td>\n",
       "      <td>3526044780</td>\n",
       "      <td>BOTTOM</td>\n",
       "      <td>KR</td>\n",
       "      <td>420</td>\n",
       "      <td>DUO_SUPPORT</td>\n",
       "      <td>11</td>\n",
       "      <td>1549194720124</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>12</td>\n",
       "      <td>3525960431</td>\n",
       "      <td>BOTTOM</td>\n",
       "      <td>KR</td>\n",
       "      <td>420</td>\n",
       "      <td>SOLO</td>\n",
       "      <td>11</td>\n",
       "      <td>1549192356337</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>67</td>\n",
       "      <td>3525838993</td>\n",
       "      <td>MID</td>\n",
       "      <td>KR</td>\n",
       "      <td>420</td>\n",
       "      <td>DUO</td>\n",
       "      <td>11</td>\n",
       "      <td>1549190358092</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>145</td>\n",
       "      <td>3525812553</td>\n",
       "      <td>NONE</td>\n",
       "      <td>KR</td>\n",
       "      <td>420</td>\n",
       "      <td>DUO_SUPPORT</td>\n",
       "      <td>11</td>\n",
       "      <td>1549189014733</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>238</td>\n",
       "      <td>3525755089</td>\n",
       "      <td>TOP</td>\n",
       "      <td>KR</td>\n",
       "      <td>420</td>\n",
       "      <td>SOLO</td>\n",
       "      <td>11</td>\n",
       "      <td>1549187487341</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>7</td>\n",
       "      <td>3525716075</td>\n",
       "      <td>MID</td>\n",
       "      <td>KR</td>\n",
       "      <td>420</td>\n",
       "      <td>SOLO</td>\n",
       "      <td>11</td>\n",
       "      <td>1549185881758</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>236</td>\n",
       "      <td>3525656731</td>\n",
       "      <td>BOTTOM</td>\n",
       "      <td>KR</td>\n",
       "      <td>420</td>\n",
       "      <td>DUO_CARRY</td>\n",
       "      <td>11</td>\n",
       "      <td>1549184000939</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>133</td>\n",
       "      <td>3525619102</td>\n",
       "      <td>NONE</td>\n",
       "      <td>KR</td>\n",
       "      <td>900</td>\n",
       "      <td>DUO_SUPPORT</td>\n",
       "      <td>11</td>\n",
       "      <td>1549182668090</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>67</td>\n",
       "      <td>3525574414</td>\n",
       "      <td>BOTTOM</td>\n",
       "      <td>KR</td>\n",
       "      <td>420</td>\n",
       "      <td>SOLO</td>\n",
       "      <td>11</td>\n",
       "      <td>1549180440749</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>81</td>\n",
       "      <td>3525541490</td>\n",
       "      <td>BOTTOM</td>\n",
       "      <td>KR</td>\n",
       "      <td>420</td>\n",
       "      <td>DUO_CARRY</td>\n",
       "      <td>11</td>\n",
       "      <td>1549178260642</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>67</td>\n",
       "      <td>3513442396</td>\n",
       "      <td>BOTTOM</td>\n",
       "      <td>KR</td>\n",
       "      <td>420</td>\n",
       "      <td>SOLO</td>\n",
       "      <td>11</td>\n",
       "      <td>1548574755322</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>157</td>\n",
       "      <td>3513422359</td>\n",
       "      <td>MID</td>\n",
       "      <td>KR</td>\n",
       "      <td>420</td>\n",
       "      <td>SOLO</td>\n",
       "      <td>11</td>\n",
       "      <td>1548572837226</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>38</td>\n",
       "      <td>3513202640</td>\n",
       "      <td>MID</td>\n",
       "      <td>KR</td>\n",
       "      <td>420</td>\n",
       "      <td>SOLO</td>\n",
       "      <td>11</td>\n",
       "      <td>1548570739626</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>67</td>\n",
       "      <td>3511676017</td>\n",
       "      <td>BOTTOM</td>\n",
       "      <td>KR</td>\n",
       "      <td>420</td>\n",
       "      <td>DUO_CARRY</td>\n",
       "      <td>11</td>\n",
       "      <td>1548492409745</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>67</td>\n",
       "      <td>3511598057</td>\n",
       "      <td>BOTTOM</td>\n",
       "      <td>KR</td>\n",
       "      <td>420</td>\n",
       "      <td>DUO_CARRY</td>\n",
       "      <td>11</td>\n",
       "      <td>1548490387605</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>555</td>\n",
       "      <td>3511546801</td>\n",
       "      <td>BOTTOM</td>\n",
       "      <td>KR</td>\n",
       "      <td>420</td>\n",
       "      <td>DUO_SUPPORT</td>\n",
       "      <td>11</td>\n",
       "      <td>1548487879360</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>55</td>\n",
       "      <td>3511524653</td>\n",
       "      <td>MID</td>\n",
       "      <td>KR</td>\n",
       "      <td>420</td>\n",
       "      <td>SOLO</td>\n",
       "      <td>11</td>\n",
       "      <td>1548485404271</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>157</td>\n",
       "      <td>3511447903</td>\n",
       "      <td>MID</td>\n",
       "      <td>KR</td>\n",
       "      <td>420</td>\n",
       "      <td>SOLO</td>\n",
       "      <td>11</td>\n",
       "      <td>1548483618334</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>157</td>\n",
       "      <td>3511472076</td>\n",
       "      <td>NONE</td>\n",
       "      <td>KR</td>\n",
       "      <td>420</td>\n",
       "      <td>DUO</td>\n",
       "      <td>11</td>\n",
       "      <td>1548482414891</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>266</td>\n",
       "      <td>3510456862</td>\n",
       "      <td>TOP</td>\n",
       "      <td>KR</td>\n",
       "      <td>420</td>\n",
       "      <td>DUO</td>\n",
       "      <td>11</td>\n",
       "      <td>1548422000114</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>157</td>\n",
       "      <td>3510446991</td>\n",
       "      <td>MID</td>\n",
       "      <td>KR</td>\n",
       "      <td>420</td>\n",
       "      <td>SOLO</td>\n",
       "      <td>11</td>\n",
       "      <td>1548419890394</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>92</td>\n",
       "      <td>3509510968</td>\n",
       "      <td>NONE</td>\n",
       "      <td>KR</td>\n",
       "      <td>420</td>\n",
       "      <td>DUO_SUPPORT</td>\n",
       "      <td>11</td>\n",
       "      <td>1548360747160</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>157</td>\n",
       "      <td>3509468023</td>\n",
       "      <td>MID</td>\n",
       "      <td>KR</td>\n",
       "      <td>420</td>\n",
       "      <td>SOLO</td>\n",
       "      <td>11</td>\n",
       "      <td>1548358436582</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>157</td>\n",
       "      <td>3509466614</td>\n",
       "      <td>NONE</td>\n",
       "      <td>KR</td>\n",
       "      <td>420</td>\n",
       "      <td>DUO_SUPPORT</td>\n",
       "      <td>11</td>\n",
       "      <td>1548357198836</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>7</td>\n",
       "      <td>3509454532</td>\n",
       "      <td>MID</td>\n",
       "      <td>KR</td>\n",
       "      <td>420</td>\n",
       "      <td>SOLO</td>\n",
       "      <td>11</td>\n",
       "      <td>1548355076359</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>157</td>\n",
       "      <td>3509450153</td>\n",
       "      <td>TOP</td>\n",
       "      <td>KR</td>\n",
       "      <td>420</td>\n",
       "      <td>SOLO</td>\n",
       "      <td>11</td>\n",
       "      <td>1548352460383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>145</td>\n",
       "      <td>3509385305</td>\n",
       "      <td>BOTTOM</td>\n",
       "      <td>KR</td>\n",
       "      <td>420</td>\n",
       "      <td>DUO_CARRY</td>\n",
       "      <td>11</td>\n",
       "      <td>1548350099367</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>2</td>\n",
       "      <td>3509369011</td>\n",
       "      <td>TOP</td>\n",
       "      <td>KR</td>\n",
       "      <td>420</td>\n",
       "      <td>DUO_CARRY</td>\n",
       "      <td>11</td>\n",
       "      <td>1548347970910</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>555</td>\n",
       "      <td>3509343529</td>\n",
       "      <td>BOTTOM</td>\n",
       "      <td>KR</td>\n",
       "      <td>420</td>\n",
       "      <td>DUO_SUPPORT</td>\n",
       "      <td>11</td>\n",
       "      <td>1548345881920</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>134</td>\n",
       "      <td>3509317294</td>\n",
       "      <td>NONE</td>\n",
       "      <td>KR</td>\n",
       "      <td>420</td>\n",
       "      <td>DUO</td>\n",
       "      <td>11</td>\n",
       "      <td>1548344283793</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>67</td>\n",
       "      <td>3509270259</td>\n",
       "      <td>TOP</td>\n",
       "      <td>KR</td>\n",
       "      <td>420</td>\n",
       "      <td>SOLO</td>\n",
       "      <td>11</td>\n",
       "      <td>1548342122515</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>157</td>\n",
       "      <td>3509223932</td>\n",
       "      <td>NONE</td>\n",
       "      <td>KR</td>\n",
       "      <td>420</td>\n",
       "      <td>DUO_SUPPORT</td>\n",
       "      <td>11</td>\n",
       "      <td>1548340570821</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>157</td>\n",
       "      <td>3509176415</td>\n",
       "      <td>TOP</td>\n",
       "      <td>KR</td>\n",
       "      <td>420</td>\n",
       "      <td>SOLO</td>\n",
       "      <td>11</td>\n",
       "      <td>1548338792481</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>157</td>\n",
       "      <td>3508759174</td>\n",
       "      <td>TOP</td>\n",
       "      <td>KR</td>\n",
       "      <td>420</td>\n",
       "      <td>DUO</td>\n",
       "      <td>11</td>\n",
       "      <td>1548317781728</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>121</td>\n",
       "      <td>3508724588</td>\n",
       "      <td>NONE</td>\n",
       "      <td>KR</td>\n",
       "      <td>420</td>\n",
       "      <td>DUO_SUPPORT</td>\n",
       "      <td>11</td>\n",
       "      <td>1548316416449</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>103</td>\n",
       "      <td>3508705364</td>\n",
       "      <td>MID</td>\n",
       "      <td>KR</td>\n",
       "      <td>420</td>\n",
       "      <td>SOLO</td>\n",
       "      <td>11</td>\n",
       "      <td>1548314065164</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>238</td>\n",
       "      <td>3508668079</td>\n",
       "      <td>TOP</td>\n",
       "      <td>KR</td>\n",
       "      <td>420</td>\n",
       "      <td>SOLO</td>\n",
       "      <td>11</td>\n",
       "      <td>1548312069874</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>53</td>\n",
       "      <td>3508589840</td>\n",
       "      <td>BOTTOM</td>\n",
       "      <td>KR</td>\n",
       "      <td>420</td>\n",
       "      <td>DUO_SUPPORT</td>\n",
       "      <td>11</td>\n",
       "      <td>1548309793868</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>157</td>\n",
       "      <td>3508571876</td>\n",
       "      <td>TOP</td>\n",
       "      <td>KR</td>\n",
       "      <td>420</td>\n",
       "      <td>SOLO</td>\n",
       "      <td>11</td>\n",
       "      <td>1548307341065</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>555</td>\n",
       "      <td>3508534089</td>\n",
       "      <td>BOTTOM</td>\n",
       "      <td>KR</td>\n",
       "      <td>420</td>\n",
       "      <td>DUO_SUPPORT</td>\n",
       "      <td>11</td>\n",
       "      <td>1548304742697</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>100 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    champion      gameId    lane platformId  queue         role  season  \\\n",
       "0         99  3529076942  BOTTOM         KR    420  DUO_SUPPORT      11   \n",
       "1         99  3529027304  BOTTOM         KR    420  DUO_SUPPORT      11   \n",
       "2         99  3529015399    NONE         KR    420          DUO      11   \n",
       "3         81  3528987224  BOTTOM         KR    420    DUO_CARRY      11   \n",
       "4          7  3528918819     MID         KR    420         SOLO      11   \n",
       "5        157  3528869852     TOP         KR    420         SOLO      11   \n",
       "6        238  3528884926    NONE         KR    420  DUO_SUPPORT      11   \n",
       "7        238  3528880795    NONE         KR    420          DUO      11   \n",
       "8        157  3528835272     MID         KR    420         SOLO      11   \n",
       "9        157  3528769706     TOP         KR    420         SOLO      11   \n",
       "10       164  3528775704  JUNGLE         KR    420         NONE      11   \n",
       "11        64  3528760231  JUNGLE         KR    420         NONE      11   \n",
       "12        92  3528736869     TOP         KR    420         SOLO      11   \n",
       "13        64  3527512636  JUNGLE         KR    420         NONE      11   \n",
       "14        64  3527451529  JUNGLE         KR    420         NONE      11   \n",
       "15         7  3527335850  BOTTOM         KR    420    DUO_CARRY      11   \n",
       "16        67  3527303430  BOTTOM         KR    420    DUO_CARRY      11   \n",
       "17        81  3527251781  BOTTOM         KR    420    DUO_CARRY      11   \n",
       "18        58  3527202899     TOP         KR    420         SOLO      11   \n",
       "19        67  3527158768    NONE         KR    900          DUO      11   \n",
       "20        99  3526044780  BOTTOM         KR    420  DUO_SUPPORT      11   \n",
       "21        12  3525960431  BOTTOM         KR    420         SOLO      11   \n",
       "22        67  3525838993     MID         KR    420          DUO      11   \n",
       "23       145  3525812553    NONE         KR    420  DUO_SUPPORT      11   \n",
       "24       238  3525755089     TOP         KR    420         SOLO      11   \n",
       "25         7  3525716075     MID         KR    420         SOLO      11   \n",
       "26       236  3525656731  BOTTOM         KR    420    DUO_CARRY      11   \n",
       "27       133  3525619102    NONE         KR    900  DUO_SUPPORT      11   \n",
       "28        67  3525574414  BOTTOM         KR    420         SOLO      11   \n",
       "29        81  3525541490  BOTTOM         KR    420    DUO_CARRY      11   \n",
       "..       ...         ...     ...        ...    ...          ...     ...   \n",
       "70        67  3513442396  BOTTOM         KR    420         SOLO      11   \n",
       "71       157  3513422359     MID         KR    420         SOLO      11   \n",
       "72        38  3513202640     MID         KR    420         SOLO      11   \n",
       "73        67  3511676017  BOTTOM         KR    420    DUO_CARRY      11   \n",
       "74        67  3511598057  BOTTOM         KR    420    DUO_CARRY      11   \n",
       "75       555  3511546801  BOTTOM         KR    420  DUO_SUPPORT      11   \n",
       "76        55  3511524653     MID         KR    420         SOLO      11   \n",
       "77       157  3511447903     MID         KR    420         SOLO      11   \n",
       "78       157  3511472076    NONE         KR    420          DUO      11   \n",
       "79       266  3510456862     TOP         KR    420          DUO      11   \n",
       "80       157  3510446991     MID         KR    420         SOLO      11   \n",
       "81        92  3509510968    NONE         KR    420  DUO_SUPPORT      11   \n",
       "82       157  3509468023     MID         KR    420         SOLO      11   \n",
       "83       157  3509466614    NONE         KR    420  DUO_SUPPORT      11   \n",
       "84         7  3509454532     MID         KR    420         SOLO      11   \n",
       "85       157  3509450153     TOP         KR    420         SOLO      11   \n",
       "86       145  3509385305  BOTTOM         KR    420    DUO_CARRY      11   \n",
       "87         2  3509369011     TOP         KR    420    DUO_CARRY      11   \n",
       "88       555  3509343529  BOTTOM         KR    420  DUO_SUPPORT      11   \n",
       "89       134  3509317294    NONE         KR    420          DUO      11   \n",
       "90        67  3509270259     TOP         KR    420         SOLO      11   \n",
       "91       157  3509223932    NONE         KR    420  DUO_SUPPORT      11   \n",
       "92       157  3509176415     TOP         KR    420         SOLO      11   \n",
       "93       157  3508759174     TOP         KR    420          DUO      11   \n",
       "94       121  3508724588    NONE         KR    420  DUO_SUPPORT      11   \n",
       "95       103  3508705364     MID         KR    420         SOLO      11   \n",
       "96       238  3508668079     TOP         KR    420         SOLO      11   \n",
       "97        53  3508589840  BOTTOM         KR    420  DUO_SUPPORT      11   \n",
       "98       157  3508571876     TOP         KR    420         SOLO      11   \n",
       "99       555  3508534089  BOTTOM         KR    420  DUO_SUPPORT      11   \n",
       "\n",
       "        timestamp  \n",
       "0   1549355824292  \n",
       "1   1549353618070  \n",
       "2   1549353187071  \n",
       "3   1549351379515  \n",
       "4   1549349307499  \n",
       "5   1549346989249  \n",
       "6   1549345611704  \n",
       "7   1549344349152  \n",
       "8   1549342513572  \n",
       "9   1549340412055  \n",
       "10  1549338807759  \n",
       "11  1549336151789  \n",
       "12  1549334411429  \n",
       "13  1549268910353  \n",
       "14  1549266714142  \n",
       "15  1549263632985  \n",
       "16  1549261240687  \n",
       "17  1549258655734  \n",
       "18  1549256403812  \n",
       "19  1549255094213  \n",
       "20  1549194720124  \n",
       "21  1549192356337  \n",
       "22  1549190358092  \n",
       "23  1549189014733  \n",
       "24  1549187487341  \n",
       "25  1549185881758  \n",
       "26  1549184000939  \n",
       "27  1549182668090  \n",
       "28  1549180440749  \n",
       "29  1549178260642  \n",
       "..            ...  \n",
       "70  1548574755322  \n",
       "71  1548572837226  \n",
       "72  1548570739626  \n",
       "73  1548492409745  \n",
       "74  1548490387605  \n",
       "75  1548487879360  \n",
       "76  1548485404271  \n",
       "77  1548483618334  \n",
       "78  1548482414891  \n",
       "79  1548422000114  \n",
       "80  1548419890394  \n",
       "81  1548360747160  \n",
       "82  1548358436582  \n",
       "83  1548357198836  \n",
       "84  1548355076359  \n",
       "85  1548352460383  \n",
       "86  1548350099367  \n",
       "87  1548347970910  \n",
       "88  1548345881920  \n",
       "89  1548344283793  \n",
       "90  1548342122515  \n",
       "91  1548340570821  \n",
       "92  1548338792481  \n",
       "93  1548317781728  \n",
       "94  1548316416449  \n",
       "95  1548314065164  \n",
       "96  1548312069874  \n",
       "97  1548309793868  \n",
       "98  1548307341065  \n",
       "99  1548304742697  \n",
       "\n",
       "[100 rows x 8 columns]"
      ]
     },
     "execution_count": 270,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "REQUEST_URL='https://kr.api.riotgames.com/lol/match/v4/matchlists/by-account/kM1T3O9iA6eni2I_j39IbEm5fdVK_ko1xaY6QW2LKR42M9E?api_key=RGAPI-8fdef470-3181-4418-92ac-8ad5065c3e01'\n",
    "\n",
    "r = requests.get(REQUEST_URL)\n",
    "json_normalize(json.loads(r.text)['matches'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 271,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'gameId': 3529076942,\n",
       " 'platformId': 'KR',\n",
       " 'gameCreation': 1549355824292,\n",
       " 'gameDuration': 2071,\n",
       " 'queueId': 420,\n",
       " 'mapId': 11,\n",
       " 'seasonId': 11,\n",
       " 'gameVersion': '9.2.261.2172',\n",
       " 'gameMode': 'CLASSIC',\n",
       " 'gameType': 'MATCHED_GAME',\n",
       " 'teams': [{'teamId': 100,\n",
       "   'win': 'Win',\n",
       "   'firstBlood': False,\n",
       "   'firstTower': False,\n",
       "   'firstInhibitor': True,\n",
       "   'firstBaron': True,\n",
       "   'firstDragon': True,\n",
       "   'firstRiftHerald': False,\n",
       "   'towerKills': 10,\n",
       "   'inhibitorKills': 2,\n",
       "   'baronKills': 1,\n",
       "   'dragonKills': 2,\n",
       "   'vilemawKills': 0,\n",
       "   'riftHeraldKills': 0,\n",
       "   'dominionVictoryScore': 0,\n",
       "   'bans': [{'championId': 517, 'pickTurn': 1},\n",
       "    {'championId': 17, 'pickTurn': 2},\n",
       "    {'championId': 3, 'pickTurn': 3},\n",
       "    {'championId': 7, 'pickTurn': 4},\n",
       "    {'championId': 121, 'pickTurn': 5}]},\n",
       "  {'teamId': 200,\n",
       "   'win': 'Fail',\n",
       "   'firstBlood': True,\n",
       "   'firstTower': True,\n",
       "   'firstInhibitor': False,\n",
       "   'firstBaron': False,\n",
       "   'firstDragon': False,\n",
       "   'firstRiftHerald': True,\n",
       "   'towerKills': 3,\n",
       "   'inhibitorKills': 0,\n",
       "   'baronKills': 1,\n",
       "   'dragonKills': 2,\n",
       "   'vilemawKills': 0,\n",
       "   'riftHeraldKills': 1,\n",
       "   'dominionVictoryScore': 0,\n",
       "   'bans': [{'championId': 39, 'pickTurn': 6},\n",
       "    {'championId': 555, 'pickTurn': 7},\n",
       "    {'championId': 5, 'pickTurn': 8},\n",
       "    {'championId': 64, 'pickTurn': 9},\n",
       "    {'championId': 84, 'pickTurn': 10}]}],\n",
       " 'participants': [{'participantId': 1,\n",
       "   'teamId': 100,\n",
       "   'championId': 54,\n",
       "   'spell1Id': 12,\n",
       "   'spell2Id': 4,\n",
       "   'highestAchievedSeasonTier': 'PLATINUM',\n",
       "   'stats': {'participantId': 1,\n",
       "    'win': True,\n",
       "    'item0': 2031,\n",
       "    'item1': 3068,\n",
       "    'item2': 3001,\n",
       "    'item3': 1054,\n",
       "    'item4': 3047,\n",
       "    'item5': 3194,\n",
       "    'item6': 3363,\n",
       "    'kills': 3,\n",
       "    'deaths': 6,\n",
       "    'assists': 13,\n",
       "    'largestKillingSpree': 2,\n",
       "    'largestMultiKill': 1,\n",
       "    'killingSprees': 1,\n",
       "    'longestTimeSpentLiving': 427,\n",
       "    'doubleKills': 0,\n",
       "    'tripleKills': 0,\n",
       "    'quadraKills': 0,\n",
       "    'pentaKills': 0,\n",
       "    'unrealKills': 0,\n",
       "    'totalDamageDealt': 132574,\n",
       "    'magicDamageDealt': 80705,\n",
       "    'physicalDamageDealt': 51869,\n",
       "    'trueDamageDealt': 0,\n",
       "    'largestCriticalStrike': 0,\n",
       "    'totalDamageDealtToChampions': 18667,\n",
       "    'magicDamageDealtToChampions': 14095,\n",
       "    'physicalDamageDealtToChampions': 4572,\n",
       "    'trueDamageDealtToChampions': 0,\n",
       "    'totalHeal': 4082,\n",
       "    'totalUnitsHealed': 1,\n",
       "    'damageSelfMitigated': 39784,\n",
       "    'damageDealtToObjectives': 9108,\n",
       "    'damageDealtToTurrets': 7607,\n",
       "    'visionScore': 34,\n",
       "    'timeCCingOthers': 44,\n",
       "    'totalDamageTaken': 23956,\n",
       "    'magicalDamageTaken': 12708,\n",
       "    'physicalDamageTaken': 10258,\n",
       "    'trueDamageTaken': 989,\n",
       "    'goldEarned': 11391,\n",
       "    'goldSpent': 10650,\n",
       "    'turretKills': 1,\n",
       "    'inhibitorKills': 1,\n",
       "    'totalMinionsKilled': 176,\n",
       "    'neutralMinionsKilled': 14,\n",
       "    'neutralMinionsKilledTeamJungle': 14,\n",
       "    'neutralMinionsKilledEnemyJungle': 0,\n",
       "    'totalTimeCrowdControlDealt': 867,\n",
       "    'champLevel': 17,\n",
       "    'visionWardsBoughtInGame': 3,\n",
       "    'sightWardsBoughtInGame': 0,\n",
       "    'wardsPlaced': 12,\n",
       "    'wardsKilled': 2,\n",
       "    'firstBloodKill': False,\n",
       "    'firstBloodAssist': False,\n",
       "    'firstTowerKill': False,\n",
       "    'firstTowerAssist': False,\n",
       "    'firstInhibitorKill': True,\n",
       "    'firstInhibitorAssist': False,\n",
       "    'combatPlayerScore': 0,\n",
       "    'objectivePlayerScore': 0,\n",
       "    'totalPlayerScore': 0,\n",
       "    'totalScoreRank': 0,\n",
       "    'playerScore0': 0,\n",
       "    'playerScore1': 0,\n",
       "    'playerScore2': 0,\n",
       "    'playerScore3': 0,\n",
       "    'playerScore4': 0,\n",
       "    'playerScore5': 0,\n",
       "    'playerScore6': 0,\n",
       "    'playerScore7': 0,\n",
       "    'playerScore8': 0,\n",
       "    'playerScore9': 0,\n",
       "    'perk0': 8229,\n",
       "    'perk0Var1': 1179,\n",
       "    'perk0Var2': 0,\n",
       "    'perk0Var3': 0,\n",
       "    'perk1': 8226,\n",
       "    'perk1Var1': 250,\n",
       "    'perk1Var2': 732,\n",
       "    'perk1Var3': 0,\n",
       "    'perk2': 8210,\n",
       "    'perk2Var1': 0,\n",
       "    'perk2Var2': 0,\n",
       "    'perk2Var3': 0,\n",
       "    'perk3': 8237,\n",
       "    'perk3Var1': 444,\n",
       "    'perk3Var2': 0,\n",
       "    'perk3Var3': 0,\n",
       "    'perk4': 8451,\n",
       "    'perk4Var1': 220,\n",
       "    'perk4Var2': 0,\n",
       "    'perk4Var3': 0,\n",
       "    'perk5': 8446,\n",
       "    'perk5Var1': 3843,\n",
       "    'perk5Var2': 0,\n",
       "    'perk5Var3': 0,\n",
       "    'perkPrimaryStyle': 8200,\n",
       "    'perkSubStyle': 8400,\n",
       "    'statPerk0': 5005,\n",
       "    'statPerk1': 5002,\n",
       "    'statPerk2': 5001},\n",
       "   'timeline': {'participantId': 1,\n",
       "    'creepsPerMinDeltas': {'10-20': 4.6,\n",
       "     '0-10': 6.800000000000001,\n",
       "     '20-30': 4.3},\n",
       "    'xpPerMinDeltas': {'10-20': 406.7, '0-10': 453.7, '20-30': 558.2},\n",
       "    'goldPerMinDeltas': {'10-20': 267.6, '0-10': 252.4, '20-30': 391.4},\n",
       "    'csDiffPerMinDeltas': {'10-20': -1.1999999999999995,\n",
       "     '0-10': -1.7999999999999998,\n",
       "     '20-30': -1.9000000000000001},\n",
       "    'xpDiffPerMinDeltas': {'10-20': -32.599999999999994,\n",
       "     '0-10': -13.800000000000011,\n",
       "     '20-30': 27.99999999999997},\n",
       "    'damageTakenPerMinDeltas': {'10-20': 1037, '0-10': 353.1, '20-30': 609},\n",
       "    'damageTakenDiffPerMinDeltas': {'10-20': 156.60000000000008,\n",
       "     '0-10': -76.00000000000003,\n",
       "     '20-30': -429.50000000000006},\n",
       "    'role': 'SOLO',\n",
       "    'lane': 'TOP'}},\n",
       "  {'participantId': 2,\n",
       "   'teamId': 100,\n",
       "   'championId': 236,\n",
       "   'spell1Id': 7,\n",
       "   'spell2Id': 4,\n",
       "   'highestAchievedSeasonTier': 'PLATINUM',\n",
       "   'stats': {'participantId': 2,\n",
       "    'win': True,\n",
       "    'item0': 3111,\n",
       "    'item1': 3153,\n",
       "    'item2': 3156,\n",
       "    'item3': 3508,\n",
       "    'item4': 3071,\n",
       "    'item5': 1055,\n",
       "    'item6': 3363,\n",
       "    'kills': 8,\n",
       "    'deaths': 5,\n",
       "    'assists': 15,\n",
       "    'largestKillingSpree': 5,\n",
       "    'largestMultiKill': 1,\n",
       "    'killingSprees': 2,\n",
       "    'longestTimeSpentLiving': 267,\n",
       "    'doubleKills': 0,\n",
       "    'tripleKills': 0,\n",
       "    'quadraKills': 0,\n",
       "    'pentaKills': 0,\n",
       "    'unrealKills': 0,\n",
       "    'totalDamageDealt': 203802,\n",
       "    'magicDamageDealt': 12785,\n",
       "    'physicalDamageDealt': 183659,\n",
       "    'trueDamageDealt': 7358,\n",
       "    'largestCriticalStrike': 0,\n",
       "    'totalDamageDealtToChampions': 26589,\n",
       "    'magicDamageDealtToChampions': 2351,\n",
       "    'physicalDamageDealtToChampions': 23770,\n",
       "    'trueDamageDealtToChampions': 468,\n",
       "    'totalHeal': 5464,\n",
       "    'totalUnitsHealed': 4,\n",
       "    'damageSelfMitigated': 12584,\n",
       "    'damageDealtToObjectives': 28633,\n",
       "    'damageDealtToTurrets': 10340,\n",
       "    'visionScore': 24,\n",
       "    'timeCCingOthers': 5,\n",
       "    'totalDamageTaken': 24743,\n",
       "    'magicalDamageTaken': 13032,\n",
       "    'physicalDamageTaken': 11455,\n",
       "    'trueDamageTaken': 256,\n",
       "    'goldEarned': 15206,\n",
       "    'goldSpent': 14200,\n",
       "    'turretKills': 4,\n",
       "    'inhibitorKills': 1,\n",
       "    'totalMinionsKilled': 202,\n",
       "    'neutralMinionsKilled': 22,\n",
       "    'neutralMinionsKilledTeamJungle': 17,\n",
       "    'neutralMinionsKilledEnemyJungle': 0,\n",
       "    'totalTimeCrowdControlDealt': 416,\n",
       "    'champLevel': 17,\n",
       "    'visionWardsBoughtInGame': 0,\n",
       "    'sightWardsBoughtInGame': 0,\n",
       "    'wardsPlaced': 10,\n",
       "    'wardsKilled': 3,\n",
       "    'firstBloodKill': False,\n",
       "    'firstBloodAssist': False,\n",
       "    'firstTowerKill': False,\n",
       "    'firstTowerAssist': False,\n",
       "    'firstInhibitorKill': False,\n",
       "    'firstInhibitorAssist': True,\n",
       "    'combatPlayerScore': 0,\n",
       "    'objectivePlayerScore': 0,\n",
       "    'totalPlayerScore': 0,\n",
       "    'totalScoreRank': 0,\n",
       "    'playerScore0': 0,\n",
       "    'playerScore1': 0,\n",
       "    'playerScore2': 0,\n",
       "    'playerScore3': 0,\n",
       "    'playerScore4': 0,\n",
       "    'playerScore5': 0,\n",
       "    'playerScore6': 0,\n",
       "    'playerScore7': 0,\n",
       "    'playerScore8': 0,\n",
       "    'playerScore9': 0,\n",
       "    'perk0': 8005,\n",
       "    'perk0Var1': 1671,\n",
       "    'perk0Var2': 869,\n",
       "    'perk0Var3': 801,\n",
       "    'perk1': 9111,\n",
       "    'perk1Var1': 1075,\n",
       "    'perk1Var2': 460,\n",
       "    'perk1Var3': 0,\n",
       "    'perk2': 9104,\n",
       "    'perk2Var1': 15,\n",
       "    'perk2Var2': 10,\n",
       "    'perk2Var3': 0,\n",
       "    'perk3': 8014,\n",
       "    'perk3Var1': 618,\n",
       "    'perk3Var2': 0,\n",
       "    'perk3Var3': 0,\n",
       "    'perk4': 8226,\n",
       "    'perk4Var1': 250,\n",
       "    'perk4Var2': 795,\n",
       "    'perk4Var3': 0,\n",
       "    'perk5': 8236,\n",
       "    'perk5Var1': 28,\n",
       "    'perk5Var2': 0,\n",
       "    'perk5Var3': 0,\n",
       "    'perkPrimaryStyle': 8000,\n",
       "    'perkSubStyle': 8200,\n",
       "    'statPerk0': 5005,\n",
       "    'statPerk1': 5008,\n",
       "    'statPerk2': 5002},\n",
       "   'timeline': {'participantId': 2,\n",
       "    'creepsPerMinDeltas': {'10-20': 6.3, '0-10': 4.8, '20-30': 5.8},\n",
       "    'xpPerMinDeltas': {'10-20': 537.8, '0-10': 261.9, '20-30': 670.1},\n",
       "    'goldPerMinDeltas': {'10-20': 427.79999999999995,\n",
       "     '0-10': 210.4,\n",
       "     '20-30': 555.7},\n",
       "    'csDiffPerMinDeltas': {'10-20': 0.2999999999999998,\n",
       "     '0-10': -0.44999999999999996,\n",
       "     '20-30': 0.3500000000000001},\n",
       "    'xpDiffPerMinDeltas': {'10-20': 3.9000000000000057,\n",
       "     '0-10': -24.399999999999977,\n",
       "     '20-30': 81.35000000000002},\n",
       "    'damageTakenPerMinDeltas': {'10-20': 809.5999999999999,\n",
       "     '0-10': 378.79999999999995,\n",
       "     '20-30': 798.8},\n",
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       "    'magicDamageDealt': 3006,\n",
       "    'physicalDamageDealt': 124106,\n",
       "    'trueDamageDealt': 24099,\n",
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       "    'magicDamageDealtToChampions': 932,\n",
       "    'physicalDamageDealtToChampions': 26888,\n",
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       "    'damageDealtToObjectives': 19715,\n",
       "    'damageDealtToTurrets': 1859,\n",
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       "    'xpPerMinDeltas': {'10-20': 428.40000000000003,\n",
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       "     '20-30': 559.3},\n",
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       "    'csDiffPerMinDeltas': {'10-20': -0.2999999999999998,\n",
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       "     '20-30': -0.3500000000000001},\n",
       "    'xpDiffPerMinDeltas': {'10-20': -3.9000000000000057,\n",
       "     '0-10': 24.399999999999977,\n",
       "     '20-30': -81.35000000000002},\n",
       "    'damageTakenPerMinDeltas': {'10-20': 840.9, '0-10': 360, '20-30': 911.1},\n",
       "    'damageTakenDiffPerMinDeltas': {'10-20': 20.450000000000045,\n",
       "     '0-10': -27.299999999999983,\n",
       "     '20-30': 35.00000000000006},\n",
       "    'role': 'DUO_CARRY',\n",
       "    'lane': 'BOTTOM'}},\n",
       "  {'participantId': 7,\n",
       "   'teamId': 200,\n",
       "   'championId': 6,\n",
       "   'spell1Id': 12,\n",
       "   'spell2Id': 4,\n",
       "   'highestAchievedSeasonTier': 'PLATINUM',\n",
       "   'stats': {'participantId': 7,\n",
       "    'win': False,\n",
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       "    'item1': 1033,\n",
       "    'item2': 3193,\n",
       "    'item3': 3742,\n",
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       "    'largestMultiKill': 1,\n",
       "    'killingSprees': 1,\n",
       "    'longestTimeSpentLiving': 621,\n",
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       "    'tripleKills': 0,\n",
       "    'quadraKills': 0,\n",
       "    'pentaKills': 0,\n",
       "    'unrealKills': 0,\n",
       "    'totalDamageDealt': 167088,\n",
       "    'magicDamageDealt': 895,\n",
       "    'physicalDamageDealt': 143505,\n",
       "    'trueDamageDealt': 22687,\n",
       "    'largestCriticalStrike': 0,\n",
       "    'totalDamageDealtToChampions': 17531,\n",
       "    'magicDamageDealtToChampions': 618,\n",
       "    'physicalDamageDealtToChampions': 14902,\n",
       "    'trueDamageDealtToChampions': 2009,\n",
       "    'totalHeal': 3592,\n",
       "    'totalUnitsHealed': 3,\n",
       "    'damageSelfMitigated': 49102,\n",
       "    'damageDealtToObjectives': 7826,\n",
       "    'damageDealtToTurrets': 1549,\n",
       "    'visionScore': 23,\n",
       "    'timeCCingOthers': 36,\n",
       "    'totalDamageTaken': 32739,\n",
       "    'magicalDamageTaken': 12968,\n",
       "    'physicalDamageTaken': 16239,\n",
       "    'trueDamageTaken': 3531,\n",
       "    'goldEarned': 13667,\n",
       "    'goldSpent': 13900,\n",
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       "    'inhibitorKills': 0,\n",
       "    'totalMinionsKilled': 221,\n",
       "    'neutralMinionsKilled': 15,\n",
       "    'neutralMinionsKilledTeamJungle': 7,\n",
       "    'neutralMinionsKilledEnemyJungle': 1,\n",
       "    'totalTimeCrowdControlDealt': 408,\n",
       "    'champLevel': 16,\n",
       "    'visionWardsBoughtInGame': 2,\n",
       "    'sightWardsBoughtInGame': 0,\n",
       "    'wardsPlaced': 3,\n",
       "    'wardsKilled': 6,\n",
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       "    'firstBloodAssist': False,\n",
       "    'firstTowerKill': False,\n",
       "    'firstTowerAssist': True,\n",
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       "    'firstInhibitorAssist': False,\n",
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       "    'objectivePlayerScore': 0,\n",
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       "    'xpPerMinDeltas': {'10-20': 439.29999999999995,\n",
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       "     '20-30': 530.2},\n",
       "    'goldPerMinDeltas': {'10-20': 414.5, '0-10': 323.6, '20-30': 446.8},\n",
       "    'csDiffPerMinDeltas': {'10-20': 1.1999999999999995,\n",
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       "     '20-30': 1.9000000000000001},\n",
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       "     '20-30': -27.99999999999997},\n",
       "    'damageTakenPerMinDeltas': {'10-20': 880.4,\n",
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       "    'damageTakenDiffPerMinDeltas': {'10-20': -156.60000000000008,\n",
       "     '0-10': 76.00000000000003,\n",
       "     '20-30': 429.50000000000006},\n",
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       "   'teamId': 200,\n",
       "   'championId': 99,\n",
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       "   'spell2Id': 14,\n",
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       "    'quadraKills': 0,\n",
       "    'pentaKills': 0,\n",
       "    'unrealKills': 0,\n",
       "    'totalDamageDealt': 89479,\n",
       "    'magicDamageDealt': 77580,\n",
       "    'physicalDamageDealt': 10851,\n",
       "    'trueDamageDealt': 1047,\n",
       "    'largestCriticalStrike': 0,\n",
       "    'totalDamageDealtToChampions': 25223,\n",
       "    'magicDamageDealtToChampions': 22695,\n",
       "    'physicalDamageDealtToChampions': 1480,\n",
       "    'trueDamageDealtToChampions': 1047,\n",
       "    'totalHeal': 1790,\n",
       "    'totalUnitsHealed': 1,\n",
       "    'damageSelfMitigated': 14664,\n",
       "    'damageDealtToObjectives': 3369,\n",
       "    'damageDealtToTurrets': 1359,\n",
       "    'visionScore': 79,\n",
       "    'timeCCingOthers': 71,\n",
       "    'totalDamageTaken': 22463,\n",
       "    'magicalDamageTaken': 8060,\n",
       "    'physicalDamageTaken': 13615,\n",
       "    'trueDamageTaken': 787,\n",
       "    'goldEarned': 13493,\n",
       "    'goldSpent': 13685,\n",
       "    'turretKills': 1,\n",
       "    'inhibitorKills': 0,\n",
       "    'totalMinionsKilled': 63,\n",
       "    'neutralMinionsKilled': 17,\n",
       "    'neutralMinionsKilledTeamJungle': 4,\n",
       "    'neutralMinionsKilledEnemyJungle': 1,\n",
       "    'totalTimeCrowdControlDealt': 284,\n",
       "    'champLevel': 15,\n",
       "    'visionWardsBoughtInGame': 4,\n",
       "    'sightWardsBoughtInGame': 0,\n",
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       "    'wardsKilled': 17,\n",
       "    'firstBloodKill': True,\n",
       "    'firstBloodAssist': False,\n",
       "    'firstTowerKill': False,\n",
       "    'firstTowerAssist': False,\n",
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       "    'firstInhibitorAssist': False,\n",
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       "    'objectivePlayerScore': 0,\n",
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       "    'totalScoreRank': 0,\n",
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       "    'playerScore1': 0,\n",
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       "    'playerScore9': 0,\n",
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       "   'spell2Id': 4,\n",
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       "    'magicDamageDealt': 8753,\n",
       "    'physicalDamageDealt': 167366,\n",
       "    'trueDamageDealt': 12275,\n",
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       "    'totalDamageDealtToChampions': 23232,\n",
       "    'magicDamageDealtToChampions': 3473,\n",
       "    'physicalDamageDealtToChampions': 18265,\n",
       "    'trueDamageDealtToChampions': 1493,\n",
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       "    'totalUnitsHealed': 1,\n",
       "    'damageSelfMitigated': 20240,\n",
       "    'damageDealtToObjectives': 28635,\n",
       "    'damageDealtToTurrets': 1056,\n",
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       "    'totalDamageTaken': 32833,\n",
       "    'magicalDamageTaken': 8183,\n",
       "    'physicalDamageTaken': 23459,\n",
       "    'trueDamageTaken': 1189,\n",
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       "    'totalMinionsKilled': 49,\n",
       "    'neutralMinionsKilled': 119,\n",
       "    'neutralMinionsKilledTeamJungle': 70,\n",
       "    'neutralMinionsKilledEnemyJungle': 13,\n",
       "    'totalTimeCrowdControlDealt': 485,\n",
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       "    'wardsKilled': 9,\n",
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       "    'firstBloodAssist': False,\n",
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       "    'totalScoreRank': 0,\n",
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       "    'playerScore9': 0,\n",
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       "    'perk0Var3': 0,\n",
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       "    'perk5': 9105,\n",
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       "    'perk5Var2': 30,\n",
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       "    'perkPrimaryStyle': 8100,\n",
       "    'perkSubStyle': 8000,\n",
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       "    'statPerk2': 5001},\n",
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       "    'xpPerMinDeltas': {'10-20': 487.79999999999995,\n",
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       "     '20-30': 494.6},\n",
       "    'goldPerMinDeltas': {'10-20': 457.40000000000003,\n",
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       "     '20-30': 387.79999999999995},\n",
       "    'csDiffPerMinDeltas': {'10-20': -0.5000000000000001,\n",
       "     '0-10': -0.7999999999999999,\n",
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       "     '20-30': -85.30000000000004},\n",
       "    'damageTakenPerMinDeltas': {'10-20': 946.9,\n",
       "     '0-10': 494.8,\n",
       "     '20-30': 1063.3},\n",
       "    'damageTakenDiffPerMinDeltas': {'10-20': -48.10000000000002,\n",
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       "     '20-30': -302.10000000000014},\n",
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       "    'lane': 'JUNGLE'}},\n",
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       "   'teamId': 200,\n",
       "   'championId': 131,\n",
       "   'spell1Id': 12,\n",
       "   'spell2Id': 4,\n",
       "   'stats': {'participantId': 10,\n",
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       "    'item0': 1026,\n",
       "    'item1': 3157,\n",
       "    'item2': 3027,\n",
       "    'item3': 3020,\n",
       "    'item4': 3115,\n",
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       "    'deaths': 5,\n",
       "    'assists': 6,\n",
       "    'largestKillingSpree': 2,\n",
       "    'largestMultiKill': 1,\n",
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       "    'tripleKills': 0,\n",
       "    'quadraKills': 0,\n",
       "    'pentaKills': 0,\n",
       "    'unrealKills': 0,\n",
       "    'totalDamageDealt': 183456,\n",
       "    'magicDamageDealt': 156297,\n",
       "    'physicalDamageDealt': 24439,\n",
       "    'trueDamageDealt': 2720,\n",
       "    'largestCriticalStrike': 0,\n",
       "    'totalDamageDealtToChampions': 14431,\n",
       "    'magicDamageDealtToChampions': 13224,\n",
       "    'physicalDamageDealtToChampions': 1207,\n",
       "    'trueDamageDealtToChampions': 0,\n",
       "    'totalHeal': 5040,\n",
       "    'totalUnitsHealed': 1,\n",
       "    'damageSelfMitigated': 29796,\n",
       "    'damageDealtToObjectives': 8553,\n",
       "    'damageDealtToTurrets': 1837,\n",
       "    'visionScore': 27,\n",
       "    'timeCCingOthers': 6,\n",
       "    'totalDamageTaken': 23176,\n",
       "    'magicalDamageTaken': 9302,\n",
       "    'physicalDamageTaken': 13500,\n",
       "    'trueDamageTaken': 373,\n",
       "    'goldEarned': 12170,\n",
       "    'goldSpent': 12010,\n",
       "    'turretKills': 1,\n",
       "    'inhibitorKills': 0,\n",
       "    'totalMinionsKilled': 192,\n",
       "    'neutralMinionsKilled': 40,\n",
       "    'neutralMinionsKilledTeamJungle': 40,\n",
       "    'neutralMinionsKilledEnemyJungle': 0,\n",
       "    'totalTimeCrowdControlDealt': 40,\n",
       "    'champLevel': 17,\n",
       "    'visionWardsBoughtInGame': 5,\n",
       "    'sightWardsBoughtInGame': 0,\n",
       "    'wardsPlaced': 12,\n",
       "    'wardsKilled': 2,\n",
       "    'firstBloodKill': False,\n",
       "    'firstBloodAssist': False,\n",
       "    'firstTowerKill': False,\n",
       "    'firstTowerAssist': False,\n",
       "    'firstInhibitorKill': False,\n",
       "    'firstInhibitorAssist': False,\n",
       "    'combatPlayerScore': 0,\n",
       "    'objectivePlayerScore': 0,\n",
       "    'totalPlayerScore': 0,\n",
       "    'totalScoreRank': 0,\n",
       "    'playerScore0': 0,\n",
       "    'playerScore1': 0,\n",
       "    'playerScore2': 0,\n",
       "    'playerScore3': 0,\n",
       "    'playerScore4': 0,\n",
       "    'playerScore5': 0,\n",
       "    'playerScore6': 0,\n",
       "    'playerScore7': 0,\n",
       "    'playerScore8': 0,\n",
       "    'playerScore9': 0,\n",
       "    'perk0': 8112,\n",
       "    'perk0Var1': 1077,\n",
       "    'perk0Var2': 0,\n",
       "    'perk0Var3': 0,\n",
       "    'perk1': 8139,\n",
       "    'perk1Var1': 575,\n",
       "    'perk1Var2': 0,\n",
       "    'perk1Var3': 0,\n",
       "    'perk2': 8138,\n",
       "    'perk2Var1': 14,\n",
       "    'perk2Var2': 0,\n",
       "    'perk2Var3': 0,\n",
       "    'perk3': 8135,\n",
       "    'perk3Var1': 2518,\n",
       "    'perk3Var2': 5,\n",
       "    'perk3Var3': 0,\n",
       "    'perk4': 9111,\n",
       "    'perk4Var1': 538,\n",
       "    'perk4Var2': 180,\n",
       "    'perk4Var3': 0,\n",
       "    'perk5': 8014,\n",
       "    'perk5Var1': 411,\n",
       "    'perk5Var2': 0,\n",
       "    'perk5Var3': 0,\n",
       "    'perkPrimaryStyle': 8100,\n",
       "    'perkSubStyle': 8000,\n",
       "    'statPerk0': 5005,\n",
       "    'statPerk1': 5008,\n",
       "    'statPerk2': 5002},\n",
       "   'timeline': {'participantId': 10,\n",
       "    'creepsPerMinDeltas': {'10-20': 8.7, '0-10': 5.2, '20-30': 3.6},\n",
       "    'xpPerMinDeltas': {'10-20': 578.3, '0-10': 441.9, '20-30': 502.5},\n",
       "    'goldPerMinDeltas': {'10-20': 428.70000000000005,\n",
       "     '0-10': 225.60000000000002,\n",
       "     '20-30': 380.6},\n",
       "    'csDiffPerMinDeltas': {'10-20': 1.6999999999999997,\n",
       "     '0-10': -2.0999999999999996,\n",
       "     '20-30': -2.0999999999999996},\n",
       "    'xpDiffPerMinDeltas': {'10-20': 94.49999999999997,\n",
       "     '0-10': -10.700000000000017,\n",
       "     '20-30': -9.199999999999989},\n",
       "    'damageTakenPerMinDeltas': {'10-20': 618, '0-10': 243.2, '20-30': 747.5},\n",
       "    'damageTakenDiffPerMinDeltas': {'10-20': -117.00000000000003,\n",
       "     '0-10': 54.499999999999986,\n",
       "     '20-30': -439.4999999999999},\n",
       "    'role': 'SOLO',\n",
       "    'lane': 'MIDDLE'}}],\n",
       " 'participantIdentities': [{'participantId': 1,\n",
       "   'player': {'platformId': 'KR',\n",
       "    'accountId': 'OIfnTodia2aLzG72Va-lh79HyTkia8WWQxqsBAKifhCOX5M',\n",
       "    'summonerName': 'GyuNim',\n",
       "    'summonerId': 'lEtbjZ2Apij0pcilO8YCVQ3hWO93GmoGxBGXseaayi-bLUY',\n",
       "    'currentPlatformId': 'KR',\n",
       "    'currentAccountId': 'OIfnTodia2aLzG72Va-lh79HyTkia8WWQxqsBAKifhCOX5M',\n",
       "    'matchHistoryUri': '/v1/stats/player_history/KR/201248662',\n",
       "    'profileIcon': 3809}},\n",
       "  {'participantId': 2,\n",
       "   'player': {'platformId': 'KR',\n",
       "    'accountId': 'tnYRu-7o7g3ttVni_-_JqIlqkFNP1qCtao3OtbpDKobSnaI',\n",
       "    'summonerName': '덮쳐보니정연',\n",
       "    'summonerId': 'fBcLSgLUD0NPn9TAk9krgbKgVONGUg93tasQ-Y8iKuDjx50',\n",
       "    'currentPlatformId': 'KR',\n",
       "    'currentAccountId': 'tnYRu-7o7g3ttVni_-_JqIlqkFNP1qCtao3OtbpDKobSnaI',\n",
       "    'matchHistoryUri': '/v1/stats/player_history/KR/209235559',\n",
       "    'profileIcon': 6}},\n",
       "  {'participantId': 3,\n",
       "   'player': {'platformId': 'KR',\n",
       "    'accountId': 'UDYDVk_S2D2ckqUVRZ95OD1ewsO6zosP5ub3JA4R51kfULg',\n",
       "    'summonerName': '껜세이',\n",
       "    'summonerId': 'CVE89FtyWuS0ROoM6UZEhk2hlMWl6T0hPF9RL8gsWHK1G3U',\n",
       "    'currentPlatformId': 'KR',\n",
       "    'currentAccountId': 'UDYDVk_S2D2ckqUVRZ95OD1ewsO6zosP5ub3JA4R51kfULg',\n",
       "    'matchHistoryUri': '/v1/stats/player_history/KR/206092977',\n",
       "    'profileIcon': 3382}},\n",
       "  {'participantId': 4,\n",
       "   'player': {'platformId': 'KR',\n",
       "    'accountId': '7Orjjan4_VS12c3qvCy7ahkDQwt6pv3xDOIpeHYwW5FZDY4',\n",
       "    'summonerName': 'Fall out Zed',\n",
       "    'summonerId': 'xrkw_cDm3uEMa1bf53e1AiJgJsxTXJrIbSFmrw4zZl5qesc',\n",
       "    'currentPlatformId': 'KR',\n",
       "    'currentAccountId': '7Orjjan4_VS12c3qvCy7ahkDQwt6pv3xDOIpeHYwW5FZDY4',\n",
       "    'matchHistoryUri': '/v1/stats/player_history/KR/205841534',\n",
       "    'profileIcon': 3903}},\n",
       "  {'participantId': 5,\n",
       "   'player': {'platformId': 'KR',\n",
       "    'accountId': 'EaV5txkKTfysjcPKLISP3-PSxpDCrePqtAZaGcRYDBDb',\n",
       "    'summonerName': '철새다',\n",
       "    'summonerId': 'xyH-FdfoHSugxHrmgRaQE43kztp0rqY5N61wt5vvukCpvw',\n",
       "    'currentPlatformId': 'KR',\n",
       "    'currentAccountId': 'EaV5txkKTfysjcPKLISP3-PSxpDCrePqtAZaGcRYDBDb',\n",
       "    'matchHistoryUri': '/v1/stats/player_history/KR/6313784',\n",
       "    'profileIcon': 560}},\n",
       "  {'participantId': 6,\n",
       "   'player': {'platformId': 'KR',\n",
       "    'accountId': 'pRiJ6oVJ7ejyANkbsCsoF61FKNBpXhhXd4f-aDGdlahN',\n",
       "    'summonerName': '어서오세요버스',\n",
       "    'summonerId': 'K0FXl_VMmRjMwpYSsE5W2PS7Fit3JsdeHu0jAvlPaVgFE4I',\n",
       "    'currentPlatformId': 'KR',\n",
       "    'currentAccountId': 'pRiJ6oVJ7ejyANkbsCsoF61FKNBpXhhXd4f-aDGdlahN',\n",
       "    'matchHistoryUri': '/v1/stats/player_history/KR/7107206',\n",
       "    'profileIcon': 3879}},\n",
       "  {'participantId': 7,\n",
       "   'player': {'platformId': 'KR',\n",
       "    'accountId': 'jumoPVXduI4gdfyXsIR2ivxvTNKoQjeg5QNU-0s0qGd99tU',\n",
       "    'summonerName': '꽃신별밤',\n",
       "    'summonerId': 'DGbiJTU1j2UlAP7uLBiYT0Xaa5UUPJr6GBJYtmsljnrN5v4',\n",
       "    'currentPlatformId': 'KR',\n",
       "    'currentAccountId': 'jumoPVXduI4gdfyXsIR2ivxvTNKoQjeg5QNU-0s0qGd99tU',\n",
       "    'matchHistoryUri': '/v1/stats/player_history/KR/208595125',\n",
       "    'profileIcon': 3879}},\n",
       "  {'participantId': 8,\n",
       "   'player': {'platformId': 'KR',\n",
       "    'accountId': 'kM1T3O9iA6eni2I_j39IbEm5fdVK_ko1xaY6QW2LKR42M9E',\n",
       "    'summonerName': '무빙하나로살아옴',\n",
       "    'summonerId': 'J-aVyM0_MzbS2RygCWuxmlB3gvFNAUKwKBirclVAoY1CT5E',\n",
       "    'currentPlatformId': 'KR',\n",
       "    'currentAccountId': 'kM1T3O9iA6eni2I_j39IbEm5fdVK_ko1xaY6QW2LKR42M9E',\n",
       "    'matchHistoryUri': '/v1/stats/player_history/KR/205366375',\n",
       "    'profileIcon': 1666}},\n",
       "  {'participantId': 9,\n",
       "   'player': {'platformId': 'KR',\n",
       "    'accountId': 'heixJAItzc8lFMJw69TzumZrAELTqW7PBG65i9T_w8vr',\n",
       "    'summonerName': 'Copernicus',\n",
       "    'summonerId': 'VExZD1iZ11U_YQ23hRjh7XkHlPFB6cm7ILJTLfWSJwQtaQ',\n",
       "    'currentPlatformId': 'KR',\n",
       "    'currentAccountId': 'heixJAItzc8lFMJw69TzumZrAELTqW7PBG65i9T_w8vr',\n",
       "    'matchHistoryUri': '/v1/stats/player_history/KR/1138258',\n",
       "    'profileIcon': 3376}},\n",
       "  {'participantId': 10,\n",
       "   'player': {'platformId': 'KR',\n",
       "    'accountId': 'C3pOtF2oA1BNucwCW1zwTmMTo3jpI6PkI0FRtQbpzFdo',\n",
       "    'summonerName': '참 이 슬 향 기 ',\n",
       "    'summonerId': 'SwymQzbKELisu-LVdU3RLueA9lFv1YcsKTObUQUrltleRg',\n",
       "    'currentPlatformId': 'KR',\n",
       "    'currentAccountId': 'C3pOtF2oA1BNucwCW1zwTmMTo3jpI6PkI0FRtQbpzFdo',\n",
       "    'matchHistoryUri': '/v1/stats/player_history/KR/4991497',\n",
       "    'profileIcon': 3898}}]}"
      ]
     },
     "execution_count": 271,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "REQUEST_URL='https://kr.api.riotgames.com/lol/match/v4/matches/3529076942?api_key=RGAPI-8fdef470-3181-4418-92ac-8ad5065c3e01'\n",
    "\n",
    "r = requests.get(REQUEST_URL)\n",
    "json.loads(r.text)"
   ]
  }
 ],
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