practice_3-1.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# -*- coding: utf-8 -*-\n",
    "\n",
    "%matplotlib inline\n",
    "\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "import warnings\n",
    "warnings.filterwarnings(\"ignore\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Data Source : http://www.statiz.co.kr/\n",
    "\n",
    "picher_file_path = '../data/picher_stats_2017.csv'\n",
    "batter_file_path = '../data/batter_stats_2017.csv'\n",
    "picher = pd.read_csv(picher_file_path)\n",
    "batter = pd.read_csv(batter_file_path)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['선수명', '팀명', '승', '패', '세', '홀드', '블론', '경기', '선발', '이닝', '삼진/9',\n",
       "       '볼넷/9', '홈런/9', 'BABIP', 'LOB%', 'ERA', 'RA9-WAR', 'FIP', 'kFIP', 'WAR',\n",
       "       '연봉(2018)', '연봉(2017)'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "picher.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "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>선수명</th>\n",
       "      <th>팀명</th>\n",
       "      <th>승</th>\n",
       "      <th>패</th>\n",
       "      <th>세</th>\n",
       "      <th>홀드</th>\n",
       "      <th>블론</th>\n",
       "      <th>경기</th>\n",
       "      <th>선발</th>\n",
       "      <th>이닝</th>\n",
       "      <th>...</th>\n",
       "      <th>홈런/9</th>\n",
       "      <th>BABIP</th>\n",
       "      <th>LOB%</th>\n",
       "      <th>ERA</th>\n",
       "      <th>RA9-WAR</th>\n",
       "      <th>FIP</th>\n",
       "      <th>kFIP</th>\n",
       "      <th>WAR</th>\n",
       "      <th>연봉(2018)</th>\n",
       "      <th>연봉(2017)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>켈리</td>\n",
       "      <td>SK</td>\n",
       "      <td>16</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>30</td>\n",
       "      <td>30</td>\n",
       "      <td>190.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.76</td>\n",
       "      <td>0.342</td>\n",
       "      <td>73.7</td>\n",
       "      <td>3.60</td>\n",
       "      <td>6.91</td>\n",
       "      <td>3.69</td>\n",
       "      <td>3.44</td>\n",
       "      <td>6.62</td>\n",
       "      <td>140000</td>\n",
       "      <td>85000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>소사</td>\n",
       "      <td>LG</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>30</td>\n",
       "      <td>29</td>\n",
       "      <td>185.1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.53</td>\n",
       "      <td>0.319</td>\n",
       "      <td>67.1</td>\n",
       "      <td>3.88</td>\n",
       "      <td>6.80</td>\n",
       "      <td>3.52</td>\n",
       "      <td>3.41</td>\n",
       "      <td>6.08</td>\n",
       "      <td>120000</td>\n",
       "      <td>50000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>양현종</td>\n",
       "      <td>KIA</td>\n",
       "      <td>20</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>31</td>\n",
       "      <td>31</td>\n",
       "      <td>193.1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.79</td>\n",
       "      <td>0.332</td>\n",
       "      <td>72.1</td>\n",
       "      <td>3.44</td>\n",
       "      <td>6.54</td>\n",
       "      <td>3.94</td>\n",
       "      <td>3.82</td>\n",
       "      <td>5.64</td>\n",
       "      <td>230000</td>\n",
       "      <td>150000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>차우찬</td>\n",
       "      <td>LG</td>\n",
       "      <td>10</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>28</td>\n",
       "      <td>28</td>\n",
       "      <td>175.2</td>\n",
       "      <td>...</td>\n",
       "      <td>1.02</td>\n",
       "      <td>0.298</td>\n",
       "      <td>75.0</td>\n",
       "      <td>3.43</td>\n",
       "      <td>6.11</td>\n",
       "      <td>4.20</td>\n",
       "      <td>4.03</td>\n",
       "      <td>4.63</td>\n",
       "      <td>100000</td>\n",
       "      <td>100000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>레일리</td>\n",
       "      <td>롯데</td>\n",
       "      <td>13</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>30</td>\n",
       "      <td>30</td>\n",
       "      <td>187.1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.91</td>\n",
       "      <td>0.323</td>\n",
       "      <td>74.1</td>\n",
       "      <td>3.80</td>\n",
       "      <td>6.13</td>\n",
       "      <td>4.36</td>\n",
       "      <td>4.31</td>\n",
       "      <td>4.38</td>\n",
       "      <td>111000</td>\n",
       "      <td>85000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 22 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   선수명   팀명   승   패  세  홀드  블론  경기  선발     이닝  ...  홈런/9  BABIP  LOB%   ERA  \\\n",
       "0   켈리   SK  16   7  0   0   0  30  30  190.0  ...  0.76  0.342  73.7  3.60   \n",
       "1   소사   LG  11  11  1   0   0  30  29  185.1  ...  0.53  0.319  67.1  3.88   \n",
       "2  양현종  KIA  20   6  0   0   0  31  31  193.1  ...  0.79  0.332  72.1  3.44   \n",
       "3  차우찬   LG  10   7  0   0   0  28  28  175.2  ...  1.02  0.298  75.0  3.43   \n",
       "4  레일리   롯데  13   7  0   0   0  30  30  187.1  ...  0.91  0.323  74.1  3.80   \n",
       "\n",
       "   RA9-WAR   FIP  kFIP   WAR  연봉(2018)  연봉(2017)  \n",
       "0     6.91  3.69  3.44  6.62    140000     85000  \n",
       "1     6.80  3.52  3.41  6.08    120000     50000  \n",
       "2     6.54  3.94  3.82  5.64    230000    150000  \n",
       "3     6.11  4.20  4.03  4.63    100000    100000  \n",
       "4     6.13  4.36  4.31  4.38    111000     85000  \n",
       "\n",
       "[5 rows x 22 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "picher.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(152, 22)\n"
     ]
    }
   ],
   "source": [
    "print(picher.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "-----"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'.Aqua Kana',\n",
       " '.Arabic UI Display',\n",
       " '.Arabic UI Text',\n",
       " '.Helvetica Neue DeskInterface',\n",
       " '.Keyboard',\n",
       " '.New York',\n",
       " '.SF Compact Display',\n",
       " '.SF Compact Rounded',\n",
       " '.SF Compact Text',\n",
       " '.SF NS Display Condensed',\n",
       " '.SF NS Mono',\n",
       " '.SF NS Rounded',\n",
       " '.SF NS Text Condensed',\n",
       " 'Al Bayan',\n",
       " 'Al Nile',\n",
       " 'Al Tarikh',\n",
       " 'American Typewriter',\n",
       " 'Andale Mono',\n",
       " 'Apple Braille',\n",
       " 'Apple Chancery',\n",
       " 'Apple SD Gothic Neo',\n",
       " 'Apple Symbols',\n",
       " 'AppleGothic',\n",
       " 'AppleMyungjo',\n",
       " 'Arial',\n",
       " 'Arial Black',\n",
       " 'Arial Hebrew',\n",
       " 'Arial Narrow',\n",
       " 'Arial Rounded MT Bold',\n",
       " 'Arial Unicode MS',\n",
       " 'Athelas',\n",
       " 'Avenir',\n",
       " 'Avenir Next',\n",
       " 'Avenir Next Condensed',\n",
       " 'Ayuthaya',\n",
       " 'Baghdad',\n",
       " 'Bangla MN',\n",
       " 'Bangla Sangam MN',\n",
       " 'Baskerville',\n",
       " 'Beirut',\n",
       " 'Big Caslon',\n",
       " 'Bodoni 72',\n",
       " 'Bodoni 72 Oldstyle',\n",
       " 'Bodoni 72 Smallcaps',\n",
       " 'Bodoni Ornaments',\n",
       " 'Bradley Hand',\n",
       " 'Brush Script MT',\n",
       " 'Chalkboard',\n",
       " 'Chalkboard SE',\n",
       " 'Chalkduster',\n",
       " 'Charter',\n",
       " 'Cochin',\n",
       " 'Comic Sans MS',\n",
       " 'Copperplate',\n",
       " 'Corsiva Hebrew',\n",
       " 'Courier New',\n",
       " 'D2Coding',\n",
       " 'DIN Alternate',\n",
       " 'DIN Condensed',\n",
       " 'Damascus',\n",
       " 'DecoType Naskh',\n",
       " 'DejaVu Sans',\n",
       " 'DejaVu Sans Display',\n",
       " 'DejaVu Sans Mono',\n",
       " 'DejaVu Serif',\n",
       " 'DejaVu Serif Display',\n",
       " 'Devanagari MT',\n",
       " 'Devanagari Sangam MN',\n",
       " 'Didot',\n",
       " 'Diwan Kufi',\n",
       " 'Diwan Thuluth',\n",
       " 'Euphemia UCAS',\n",
       " 'Farah',\n",
       " 'Farisi',\n",
       " 'Futura',\n",
       " 'Galvji',\n",
       " 'Geeza Pro',\n",
       " 'Georgia',\n",
       " 'Gill Sans',\n",
       " 'Gujarati MT',\n",
       " 'Gujarati Sangam MN',\n",
       " 'Gurmukhi MN',\n",
       " 'Gurmukhi MT',\n",
       " 'Gurmukhi Sangam MN',\n",
       " 'Heiti TC',\n",
       " 'Helvetica',\n",
       " 'Helvetica Neue',\n",
       " 'Herculanum',\n",
       " 'Hiragino Maru Gothic Pro',\n",
       " 'Hiragino Mincho ProN',\n",
       " 'Hiragino Sans',\n",
       " 'Hiragino Sans GB',\n",
       " 'Hoefler Text',\n",
       " 'ITF Devanagari',\n",
       " 'Impact',\n",
       " 'InaiMathi',\n",
       " 'Iowan Old Style',\n",
       " 'Kailasa',\n",
       " 'Kannada MN',\n",
       " 'Kannada Sangam MN',\n",
       " 'Kefa',\n",
       " 'Khmer MN',\n",
       " 'Khmer Sangam MN',\n",
       " 'Kohinoor Bangla',\n",
       " 'Kohinoor Devanagari',\n",
       " 'Kohinoor Gujarati',\n",
       " 'Kohinoor Telugu',\n",
       " 'Kokonor',\n",
       " 'Krungthep',\n",
       " 'KufiStandardGK',\n",
       " 'Lao MN',\n",
       " 'Lao Sangam MN',\n",
       " 'Lucida Grande',\n",
       " 'Luminari',\n",
       " 'Malayalam MN',\n",
       " 'Malayalam Sangam MN',\n",
       " 'Marion',\n",
       " 'Marker Felt',\n",
       " 'Menlo',\n",
       " 'Microsoft Sans Serif',\n",
       " 'Mishafi',\n",
       " 'Mishafi Gold',\n",
       " 'Mshtakan',\n",
       " 'Mukta Mahee',\n",
       " 'Muna',\n",
       " 'Myanmar MN',\n",
       " 'Myanmar Sangam MN',\n",
       " 'Nadeem',\n",
       " 'New Peninim MT',\n",
       " 'Noteworthy',\n",
       " 'Noto Nastaliq Urdu',\n",
       " 'Noto Sans Armenian',\n",
       " 'Noto Sans Avestan',\n",
       " 'Noto Sans Bamum',\n",
       " 'Noto Sans Batak',\n",
       " 'Noto Sans Brahmi',\n",
       " 'Noto Sans Buginese',\n",
       " 'Noto Sans Buhid',\n",
       " 'Noto Sans Carian',\n",
       " 'Noto Sans Chakma',\n",
       " 'Noto Sans Cham',\n",
       " 'Noto Sans Coptic',\n",
       " 'Noto Sans Cuneiform',\n",
       " 'Noto Sans Cypriot',\n",
       " 'Noto Sans Egyptian Hieroglyphs',\n",
       " 'Noto Sans Glagolitic',\n",
       " 'Noto Sans Gothic',\n",
       " 'Noto Sans Hanunoo',\n",
       " 'Noto Sans Imperial Aramaic',\n",
       " 'Noto Sans Inscriptional Pahlavi',\n",
       " 'Noto Sans Inscriptional Parthian',\n",
       " 'Noto Sans Javanese',\n",
       " 'Noto Sans Kaithi',\n",
       " 'Noto Sans Kannada',\n",
       " 'Noto Sans Kayah Li',\n",
       " 'Noto Sans Kharoshthi',\n",
       " 'Noto Sans Lepcha',\n",
       " 'Noto Sans Limbu',\n",
       " 'Noto Sans Linear B',\n",
       " 'Noto Sans Lisu',\n",
       " 'Noto Sans Lycian',\n",
       " 'Noto Sans Lydian',\n",
       " 'Noto Sans Mandaic',\n",
       " 'Noto Sans Meetei Mayek',\n",
       " 'Noto Sans Mongolian',\n",
       " 'Noto Sans Myanmar',\n",
       " 'Noto Sans NKo',\n",
       " 'Noto Sans New Tai Lue',\n",
       " 'Noto Sans Ogham',\n",
       " 'Noto Sans Ol Chiki',\n",
       " 'Noto Sans Old Italic',\n",
       " 'Noto Sans Old Persian',\n",
       " 'Noto Sans Old South Arabian',\n",
       " 'Noto Sans Old Turkic',\n",
       " 'Noto Sans Oriya',\n",
       " 'Noto Sans Osmanya',\n",
       " 'Noto Sans PhagsPa',\n",
       " 'Noto Sans Phoenician',\n",
       " 'Noto Sans Rejang',\n",
       " 'Noto Sans Runic',\n",
       " 'Noto Sans Samaritan',\n",
       " 'Noto Sans Saurashtra',\n",
       " 'Noto Sans Shavian',\n",
       " 'Noto Sans Sundanese',\n",
       " 'Noto Sans Syloti Nagri',\n",
       " 'Noto Sans Syriac',\n",
       " 'Noto Sans Tagalog',\n",
       " 'Noto Sans Tagbanwa',\n",
       " 'Noto Sans Tai Le',\n",
       " 'Noto Sans Tai Tham',\n",
       " 'Noto Sans Tai Viet',\n",
       " 'Noto Sans Thaana',\n",
       " 'Noto Sans Tifinagh',\n",
       " 'Noto Sans Ugaritic',\n",
       " 'Noto Sans Vai',\n",
       " 'Noto Sans Yi',\n",
       " 'Noto Serif Balinese',\n",
       " 'Noto Serif Myanmar',\n",
       " 'Optima',\n",
       " 'Oriya MN',\n",
       " 'Oriya Sangam MN',\n",
       " 'PT Mono',\n",
       " 'PT Sans',\n",
       " 'PT Serif',\n",
       " 'PT Serif Caption',\n",
       " 'Palatino',\n",
       " 'Papyrus',\n",
       " 'Phosphate',\n",
       " 'PingFang HK',\n",
       " 'Plantagenet Cherokee',\n",
       " 'Raanana',\n",
       " 'Rockwell',\n",
       " 'STIXGeneral',\n",
       " 'STIXIntegralsD',\n",
       " 'STIXIntegralsSm',\n",
       " 'STIXIntegralsUp',\n",
       " 'STIXIntegralsUpD',\n",
       " 'STIXIntegralsUpSm',\n",
       " 'STIXNonUnicode',\n",
       " 'STIXSizeFiveSym',\n",
       " 'STIXSizeFourSym',\n",
       " 'STIXSizeOneSym',\n",
       " 'STIXSizeThreeSym',\n",
       " 'STIXSizeTwoSym',\n",
       " 'STIXVariants',\n",
       " 'Sana',\n",
       " 'Sathu',\n",
       " 'Savoye LET',\n",
       " 'Seravek',\n",
       " 'Shree Devanagari 714',\n",
       " 'SignPainter',\n",
       " 'Silom',\n",
       " 'Sinhala MN',\n",
       " 'Sinhala Sangam MN',\n",
       " 'Skia',\n",
       " 'Snell Roundhand',\n",
       " 'Songti SC',\n",
       " 'Sukhumvit Set',\n",
       " 'Superclarendon',\n",
       " 'Symbol',\n",
       " 'System Font',\n",
       " 'Tahoma',\n",
       " 'Tamil MN',\n",
       " 'Tamil Sangam MN',\n",
       " 'Telugu MN',\n",
       " 'Telugu Sangam MN',\n",
       " 'Thonburi',\n",
       " 'Times',\n",
       " 'Times New Roman',\n",
       " 'Trattatello',\n",
       " 'Trebuchet MS',\n",
       " 'Verdana',\n",
       " 'Waseem',\n",
       " 'Webdings',\n",
       " 'Wingdings',\n",
       " 'Wingdings 2',\n",
       " 'Wingdings 3',\n",
       " 'Zapf Dingbats',\n",
       " 'Zapfino',\n",
       " 'cmb10',\n",
       " 'cmex10',\n",
       " 'cmmi10',\n",
       " 'cmr10',\n",
       " 'cmss10',\n",
       " 'cmsy10',\n",
       " 'cmtt10'}"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import matplotlib as mpl\n",
    "set(sorted([f.name for f in mpl.font_manager.fontManager.ttflist])) # 현재 OS 내에 설치된 폰트를 확인합니다."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "mpl.rc('font', family='NanumGothicOTF') # 자신의 OS에 존재하는 한글 폰트를 선택합니다. 없는경우, 위의 링크에서 한글폰트 설치 후 실행합니다."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count       152.000000\n",
       "mean      18932.236842\n",
       "std       30940.732924\n",
       "min        2700.000000\n",
       "25%        4000.000000\n",
       "50%        7550.000000\n",
       "75%       18500.000000\n",
       "max      230000.000000\n",
       "Name: 연봉(2018), dtype: float64"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "picher['연봉(2018)'].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "picher['연봉(2018)'].hist(bins=100) # 2018년 연봉 분포를 출력합니다."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "picher.boxplot(column=['연봉(2018)']) # 연봉의 Boxplot을 출력합니다."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "picher_features_df = picher[['승', '패', '세', '홀드', '블론', '경기', '선발', '이닝', '삼진/9',\n",
    "       '볼넷/9', '홈런/9', 'BABIP', 'LOB%', 'ERA', 'RA9-WAR', 'FIP', 'kFIP', 'WAR',\n",
    "       '연봉(2018)', '연봉(2017)']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 피처 각각에 대한 histogram을 출력합니다.\n",
    "def plot_hist_each_column(df):\n",
    "    plt.rcParams['figure.figsize'] = [20, 16]\n",
    "    fig = plt.figure(1)\n",
    "    \n",
    "    # df의 column 갯수 만큼의 subplot을 출력합니다.\n",
    "    for i in range(len(df.columns)):\n",
    "        ax = fig.add_subplot(5, 5, i+1)\n",
    "        plt.hist(df[df.columns[i]], bins=50)\n",
    "        ax.set_title(df.columns[i])\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1440x1152 with 20 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_hist_each_column(picher_features_df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "# pandas 형태로 정의된 데이터를 출력할 때, scientific-notation이 아닌 float 모양으로 출력되게 해줍니다.\n",
    "pd.options.mode.chained_assignment = None"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 피처 각각에 대한 scaling을 수행하는 함수를 정의합니다.\n",
    "def standard_scaling(df, scale_columns):\n",
    "    for col in scale_columns:\n",
    "        series_mean = df[col].mean()\n",
    "        series_std = df[col].std()\n",
    "        df[col] = df[col].apply(lambda x: (x-series_mean)/series_std)\n",
    "    return df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 피처 각각에 대한 scaling을 수행합니다.\n",
    "scale_columns = ['승', '패', '세', '홀드', '블론', '경기', '선발', '이닝', '삼진/9',\n",
    "       '볼넷/9', '홈런/9', 'BABIP', 'LOB%', 'ERA', 'RA9-WAR', 'FIP', 'kFIP', 'WAR', '연봉(2017)']\n",
    "picher_df = standard_scaling(picher, scale_columns)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "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>선수명</th>\n",
       "      <th>팀명</th>\n",
       "      <th>승</th>\n",
       "      <th>패</th>\n",
       "      <th>세</th>\n",
       "      <th>홀드</th>\n",
       "      <th>블론</th>\n",
       "      <th>경기</th>\n",
       "      <th>선발</th>\n",
       "      <th>이닝</th>\n",
       "      <th>...</th>\n",
       "      <th>홈런/9</th>\n",
       "      <th>BABIP</th>\n",
       "      <th>LOB%</th>\n",
       "      <th>ERA</th>\n",
       "      <th>RA9-WAR</th>\n",
       "      <th>FIP</th>\n",
       "      <th>kFIP</th>\n",
       "      <th>WAR</th>\n",
       "      <th>y</th>\n",
       "      <th>연봉(2017)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>켈리</td>\n",
       "      <td>SK</td>\n",
       "      <td>3.313623</td>\n",
       "      <td>1.227145</td>\n",
       "      <td>-0.306452</td>\n",
       "      <td>-0.585705</td>\n",
       "      <td>-0.543592</td>\n",
       "      <td>0.059433</td>\n",
       "      <td>2.452068</td>\n",
       "      <td>2.645175</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.442382</td>\n",
       "      <td>0.016783</td>\n",
       "      <td>0.446615</td>\n",
       "      <td>-0.587056</td>\n",
       "      <td>3.174630</td>\n",
       "      <td>-0.971030</td>\n",
       "      <td>-1.058125</td>\n",
       "      <td>4.503142</td>\n",
       "      <td>140000</td>\n",
       "      <td>2.734705</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>소사</td>\n",
       "      <td>LG</td>\n",
       "      <td>2.019505</td>\n",
       "      <td>2.504721</td>\n",
       "      <td>-0.098502</td>\n",
       "      <td>-0.585705</td>\n",
       "      <td>-0.543592</td>\n",
       "      <td>0.059433</td>\n",
       "      <td>2.349505</td>\n",
       "      <td>2.547755</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.668521</td>\n",
       "      <td>-0.241686</td>\n",
       "      <td>-0.122764</td>\n",
       "      <td>-0.519855</td>\n",
       "      <td>3.114968</td>\n",
       "      <td>-1.061888</td>\n",
       "      <td>-1.073265</td>\n",
       "      <td>4.094734</td>\n",
       "      <td>120000</td>\n",
       "      <td>1.337303</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>양현종</td>\n",
       "      <td>KIA</td>\n",
       "      <td>4.348918</td>\n",
       "      <td>0.907751</td>\n",
       "      <td>-0.306452</td>\n",
       "      <td>-0.585705</td>\n",
       "      <td>-0.543592</td>\n",
       "      <td>0.111056</td>\n",
       "      <td>2.554632</td>\n",
       "      <td>2.706808</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.412886</td>\n",
       "      <td>-0.095595</td>\n",
       "      <td>0.308584</td>\n",
       "      <td>-0.625456</td>\n",
       "      <td>2.973948</td>\n",
       "      <td>-0.837415</td>\n",
       "      <td>-0.866361</td>\n",
       "      <td>3.761956</td>\n",
       "      <td>230000</td>\n",
       "      <td>5.329881</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>차우찬</td>\n",
       "      <td>LG</td>\n",
       "      <td>1.760682</td>\n",
       "      <td>1.227145</td>\n",
       "      <td>-0.306452</td>\n",
       "      <td>-0.585705</td>\n",
       "      <td>-0.543592</td>\n",
       "      <td>-0.043811</td>\n",
       "      <td>2.246942</td>\n",
       "      <td>2.350927</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.186746</td>\n",
       "      <td>-0.477680</td>\n",
       "      <td>0.558765</td>\n",
       "      <td>-0.627856</td>\n",
       "      <td>2.740722</td>\n",
       "      <td>-0.698455</td>\n",
       "      <td>-0.760385</td>\n",
       "      <td>2.998081</td>\n",
       "      <td>100000</td>\n",
       "      <td>3.333592</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>레일리</td>\n",
       "      <td>롯데</td>\n",
       "      <td>2.537153</td>\n",
       "      <td>1.227145</td>\n",
       "      <td>-0.306452</td>\n",
       "      <td>-0.585705</td>\n",
       "      <td>-0.543592</td>\n",
       "      <td>0.059433</td>\n",
       "      <td>2.452068</td>\n",
       "      <td>2.587518</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.294900</td>\n",
       "      <td>-0.196735</td>\n",
       "      <td>0.481122</td>\n",
       "      <td>-0.539055</td>\n",
       "      <td>2.751570</td>\n",
       "      <td>-0.612941</td>\n",
       "      <td>-0.619085</td>\n",
       "      <td>2.809003</td>\n",
       "      <td>111000</td>\n",
       "      <td>2.734705</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 22 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   선수명   팀명         승         패         세        홀드        블론        경기  \\\n",
       "0   켈리   SK  3.313623  1.227145 -0.306452 -0.585705 -0.543592  0.059433   \n",
       "1   소사   LG  2.019505  2.504721 -0.098502 -0.585705 -0.543592  0.059433   \n",
       "2  양현종  KIA  4.348918  0.907751 -0.306452 -0.585705 -0.543592  0.111056   \n",
       "3  차우찬   LG  1.760682  1.227145 -0.306452 -0.585705 -0.543592 -0.043811   \n",
       "4  레일리   롯데  2.537153  1.227145 -0.306452 -0.585705 -0.543592  0.059433   \n",
       "\n",
       "         선발        이닝  ...      홈런/9     BABIP      LOB%       ERA   RA9-WAR  \\\n",
       "0  2.452068  2.645175  ... -0.442382  0.016783  0.446615 -0.587056  3.174630   \n",
       "1  2.349505  2.547755  ... -0.668521 -0.241686 -0.122764 -0.519855  3.114968   \n",
       "2  2.554632  2.706808  ... -0.412886 -0.095595  0.308584 -0.625456  2.973948   \n",
       "3  2.246942  2.350927  ... -0.186746 -0.477680  0.558765 -0.627856  2.740722   \n",
       "4  2.452068  2.587518  ... -0.294900 -0.196735  0.481122 -0.539055  2.751570   \n",
       "\n",
       "        FIP      kFIP       WAR       y  연봉(2017)  \n",
       "0 -0.971030 -1.058125  4.503142  140000  2.734705  \n",
       "1 -1.061888 -1.073265  4.094734  120000  1.337303  \n",
       "2 -0.837415 -0.866361  3.761956  230000  5.329881  \n",
       "3 -0.698455 -0.760385  2.998081  100000  3.333592  \n",
       "4 -0.612941 -0.619085  2.809003  111000  2.734705  \n",
       "\n",
       "[5 rows x 22 columns]"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "picher_df = picher_df.rename(columns={'연봉(2018)': 'y'})\n",
    "picher_df.head(5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "-----"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 팀명 피처를 one-hot encoding으로 변환합니다.\n",
    "team_encoding = pd.get_dummies(picher_df['팀명'])\n",
    "picher_df = picher_df.drop('팀명', axis=1)\n",
    "picher_df = picher_df.join(team_encoding)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "   KIA  KT  LG  NC  SK  두산  롯데  삼성  한화\n",
       "0    0   0   0   0   1   0   0   0   0\n",
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     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
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   "source": [
    "team_encoding.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "   선수명         승         패         세        홀드        블론        경기        선발  \\\n",
       "0   켈리  3.313623  1.227145 -0.306452 -0.585705 -0.543592  0.059433  2.452068   \n",
       "1   소사  2.019505  2.504721 -0.098502 -0.585705 -0.543592  0.059433  2.349505   \n",
       "2  양현종  4.348918  0.907751 -0.306452 -0.585705 -0.543592  0.111056  2.554632   \n",
       "3  차우찬  1.760682  1.227145 -0.306452 -0.585705 -0.543592 -0.043811  2.246942   \n",
       "4  레일리  2.537153  1.227145 -0.306452 -0.585705 -0.543592  0.059433  2.452068   \n",
       "\n",
       "         이닝      삼진/9  ...  연봉(2017)  KIA  KT  LG  NC  SK  두산  롯데  삼성  한화  \n",
       "0  2.645175  0.672099  ...  2.734705    0   0   0   0   1   0   0   0   0  \n",
       "1  2.547755  0.134531  ...  1.337303    0   0   1   0   0   0   0   0   0  \n",
       "2  2.706808  0.109775  ...  5.329881    1   0   0   0   0   0   0   0   0  \n",
       "3  2.350927  0.350266  ...  3.333592    0   0   1   0   0   0   0   0   0  \n",
       "4  2.587518  0.155751  ...  2.734705    0   0   0   0   0   0   1   0   0  \n",
       "\n",
       "[5 rows x 30 columns]"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "picher_df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "-----"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn import linear_model\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.metrics import mean_squared_error\n",
    "from math import sqrt\n",
    "\n",
    "# 학습 데이터와 테스트 데이터로 분리합니다.\n",
    "X = picher_df[picher_df.columns.difference(['선수명', 'y'])]\n",
    "y = picher_df['y']\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=19)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 회귀 분석 계수를 학습합니다 (회귀 모델 학습)\n",
    "lr = linear_model.LinearRegression()\n",
    "model = lr.fit(X_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[ -1481.01733901   -416.68736601 -94136.23649209  -1560.86205158\n",
      "   1572.00472193   -747.04952389  -1375.53830289   -523.54687556\n",
      "   3959.10653661    898.37638984  10272.48746451  77672.53804469\n",
      "  -2434.38947427   -892.11801281    449.91117164   7612.15661812\n",
      "   1271.04500059  -2810.5564514    5396.97279896  -4797.30275904\n",
      "   -250.69773139    236.02530053  19130.59021357    854.02604585\n",
      "   1301.61974637   3613.84063182   -935.07281796  18144.60099745]\n"
     ]
    }
   ],
   "source": [
    "# 학습된 계수를 출력합니다.\n",
    "print(lr.coef_)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['선수명', '승', '패', '세', '홀드', '블론', '경기', '선발', '이닝', '삼진/9', '볼넷/9',\n",
       "       '홈런/9', 'BABIP', 'LOB%', 'ERA', 'RA9-WAR', 'FIP', 'kFIP', 'WAR', 'y',\n",
       "       '연봉(2017)', 'KIA', 'KT', 'LG', 'NC', 'SK', '두산', '롯데', '삼성', '한화'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "picher_df.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "!pip install statsmodels"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class=\"simpletable\">\n",
       "<caption>OLS Regression Results</caption>\n",
       "<tr>\n",
       "  <th>Dep. Variable:</th>            <td>y</td>        <th>  R-squared:         </th> <td>   0.928</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Model:</th>                   <td>OLS</td>       <th>  Adj. R-squared:    </th> <td>   0.907</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Method:</th>             <td>Least Squares</td>  <th>  F-statistic:       </th> <td>   44.19</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Date:</th>             <td>Sat, 12 Jun 2021</td> <th>  Prob (F-statistic):</th> <td>7.70e-42</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Time:</th>                 <td>16:49:54</td>     <th>  Log-Likelihood:    </th> <td> -1247.8</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>No. Observations:</th>      <td>   121</td>      <th>  AIC:               </th> <td>   2552.</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Df Residuals:</th>          <td>    93</td>      <th>  BIC:               </th> <td>   2630.</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Df Model:</th>              <td>    27</td>      <th>                     </th>     <td> </td>   \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Covariance Type:</th>      <td>nonrobust</td>    <th>                     </th>     <td> </td>   \n",
       "</tr>\n",
       "</table>\n",
       "<table class=\"simpletable\">\n",
       "<tr>\n",
       "      <td></td>        <th>coef</th>     <th>std err</th>      <th>t</th>      <th>P>|t|</th>  <th>[0.025</th>    <th>0.975]</th>  \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>const</th>    <td> 1.678e+04</td> <td>  697.967</td> <td>   24.036</td> <td> 0.000</td> <td> 1.54e+04</td> <td> 1.82e+04</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>BABIP</th>    <td>-1481.0173</td> <td> 1293.397</td> <td>   -1.145</td> <td> 0.255</td> <td>-4049.448</td> <td> 1087.414</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>ERA</th>      <td> -416.6874</td> <td> 2322.402</td> <td>   -0.179</td> <td> 0.858</td> <td>-5028.517</td> <td> 4195.143</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>FIP</th>      <td>-9.414e+04</td> <td> 9.43e+04</td> <td>   -0.998</td> <td> 0.321</td> <td>-2.81e+05</td> <td> 9.31e+04</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>KIA</th>      <td>  303.1852</td> <td> 2222.099</td> <td>    0.136</td> <td> 0.892</td> <td>-4109.462</td> <td> 4715.833</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>KT</th>       <td> 3436.0520</td> <td> 2133.084</td> <td>    1.611</td> <td> 0.111</td> <td> -799.831</td> <td> 7671.935</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>LG</th>       <td> 1116.9978</td> <td> 2403.317</td> <td>    0.465</td> <td> 0.643</td> <td>-3655.513</td> <td> 5889.509</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>LOB%</th>     <td>-1375.5383</td> <td> 1564.806</td> <td>   -0.879</td> <td> 0.382</td> <td>-4482.933</td> <td> 1731.857</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>NC</th>       <td> 1340.5004</td> <td> 2660.966</td> <td>    0.504</td> <td> 0.616</td> <td>-3943.651</td> <td> 6624.652</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>RA9-WAR</th>  <td> 3959.1065</td> <td> 2931.488</td> <td>    1.351</td> <td> 0.180</td> <td>-1862.247</td> <td> 9780.460</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>SK</th>       <td> 2762.4237</td> <td> 2243.540</td> <td>    1.231</td> <td> 0.221</td> <td>-1692.803</td> <td> 7217.650</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>WAR</th>      <td> 1.027e+04</td> <td> 2532.309</td> <td>    4.057</td> <td> 0.000</td> <td> 5243.823</td> <td> 1.53e+04</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>kFIP</th>     <td> 7.767e+04</td> <td> 7.95e+04</td> <td>    0.977</td> <td> 0.331</td> <td>-8.03e+04</td> <td> 2.36e+05</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>경기</th>       <td>-2434.3895</td> <td> 2953.530</td> <td>   -0.824</td> <td> 0.412</td> <td>-8299.515</td> <td> 3430.736</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>두산</th>       <td>  971.9293</td> <td> 2589.849</td> <td>    0.375</td> <td> 0.708</td> <td>-4170.998</td> <td> 6114.857</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>롯데</th>       <td> 2313.9585</td> <td> 2566.009</td> <td>    0.902</td> <td> 0.370</td> <td>-2781.627</td> <td> 7409.544</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>볼넷/9</th>     <td> 7612.1566</td> <td> 6275.338</td> <td>    1.213</td> <td> 0.228</td> <td>-4849.421</td> <td> 2.01e+04</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>블론</th>       <td> 1271.0450</td> <td> 1242.128</td> <td>    1.023</td> <td> 0.309</td> <td>-1195.576</td> <td> 3737.666</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>삼성</th>       <td> -946.5092</td> <td> 2482.257</td> <td>   -0.381</td> <td> 0.704</td> <td>-5875.780</td> <td> 3982.762</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>삼진/9</th>     <td> 5396.9728</td> <td> 7286.221</td> <td>    0.741</td> <td> 0.461</td> <td>-9072.019</td> <td> 1.99e+04</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>선발</th>       <td>-4797.3028</td> <td> 5489.352</td> <td>   -0.874</td> <td> 0.384</td> <td>-1.57e+04</td> <td> 6103.463</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>세</th>        <td> -250.6977</td> <td> 1295.377</td> <td>   -0.194</td> <td> 0.847</td> <td>-2823.059</td> <td> 2321.663</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>승</th>        <td>  236.0253</td> <td> 2215.264</td> <td>    0.107</td> <td> 0.915</td> <td>-4163.049</td> <td> 4635.100</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>연봉(2017)</th> <td> 1.913e+04</td> <td> 1270.754</td> <td>   15.055</td> <td> 0.000</td> <td> 1.66e+04</td> <td> 2.17e+04</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>이닝</th>       <td>  854.0260</td> <td> 6623.940</td> <td>    0.129</td> <td> 0.898</td> <td>-1.23e+04</td> <td>  1.4e+04</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>패</th>        <td> 1301.6197</td> <td> 1935.935</td> <td>    0.672</td> <td> 0.503</td> <td>-2542.763</td> <td> 5146.003</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>한화</th>       <td> 5477.8879</td> <td> 2184.273</td> <td>    2.508</td> <td> 0.014</td> <td> 1140.355</td> <td> 9815.421</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>홀드</th>       <td> -935.0728</td> <td> 1637.923</td> <td>   -0.571</td> <td> 0.569</td> <td>-4187.663</td> <td> 2317.518</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>홈런/9</th>     <td> 1.814e+04</td> <td> 1.68e+04</td> <td>    1.082</td> <td> 0.282</td> <td>-1.52e+04</td> <td> 5.14e+04</td>\n",
       "</tr>\n",
       "</table>\n",
       "<table class=\"simpletable\">\n",
       "<tr>\n",
       "  <th>Omnibus:</th>       <td>28.069</td> <th>  Durbin-Watson:     </th> <td>   2.025</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Prob(Omnibus):</th> <td> 0.000</td> <th>  Jarque-Bera (JB):  </th> <td> 194.274</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Skew:</th>          <td>-0.405</td> <th>  Prob(JB):          </th> <td>6.52e-43</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Kurtosis:</th>      <td> 9.155</td> <th>  Cond. No.          </th> <td>3.47e+16</td>\n",
       "</tr>\n",
       "</table><br/><br/>Notes:<br/>[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.<br/>[2] The smallest eigenvalue is 6.59e-31. This might indicate that there are<br/>strong multicollinearity problems or that the design matrix is singular."
      ],
      "text/plain": [
       "<class 'statsmodels.iolib.summary.Summary'>\n",
       "\"\"\"\n",
       "                            OLS Regression Results                            \n",
       "==============================================================================\n",
       "Dep. Variable:                      y   R-squared:                       0.928\n",
       "Model:                            OLS   Adj. R-squared:                  0.907\n",
       "Method:                 Least Squares   F-statistic:                     44.19\n",
       "Date:                Sat, 12 Jun 2021   Prob (F-statistic):           7.70e-42\n",
       "Time:                        16:49:54   Log-Likelihood:                -1247.8\n",
       "No. Observations:                 121   AIC:                             2552.\n",
       "Df Residuals:                      93   BIC:                             2630.\n",
       "Df Model:                          27                                         \n",
       "Covariance Type:            nonrobust                                         \n",
       "==============================================================================\n",
       "                 coef    std err          t      P>|t|      [0.025      0.975]\n",
       "------------------------------------------------------------------------------\n",
       "const       1.678e+04    697.967     24.036      0.000    1.54e+04    1.82e+04\n",
       "BABIP      -1481.0173   1293.397     -1.145      0.255   -4049.448    1087.414\n",
       "ERA         -416.6874   2322.402     -0.179      0.858   -5028.517    4195.143\n",
       "FIP        -9.414e+04   9.43e+04     -0.998      0.321   -2.81e+05    9.31e+04\n",
       "KIA          303.1852   2222.099      0.136      0.892   -4109.462    4715.833\n",
       "KT          3436.0520   2133.084      1.611      0.111    -799.831    7671.935\n",
       "LG          1116.9978   2403.317      0.465      0.643   -3655.513    5889.509\n",
       "LOB%       -1375.5383   1564.806     -0.879      0.382   -4482.933    1731.857\n",
       "NC          1340.5004   2660.966      0.504      0.616   -3943.651    6624.652\n",
       "RA9-WAR     3959.1065   2931.488      1.351      0.180   -1862.247    9780.460\n",
       "SK          2762.4237   2243.540      1.231      0.221   -1692.803    7217.650\n",
       "WAR         1.027e+04   2532.309      4.057      0.000    5243.823    1.53e+04\n",
       "kFIP        7.767e+04   7.95e+04      0.977      0.331   -8.03e+04    2.36e+05\n",
       "경기         -2434.3895   2953.530     -0.824      0.412   -8299.515    3430.736\n",
       "두산           971.9293   2589.849      0.375      0.708   -4170.998    6114.857\n",
       "롯데          2313.9585   2566.009      0.902      0.370   -2781.627    7409.544\n",
       "볼넷/9        7612.1566   6275.338      1.213      0.228   -4849.421    2.01e+04\n",
       "블론          1271.0450   1242.128      1.023      0.309   -1195.576    3737.666\n",
       "삼성          -946.5092   2482.257     -0.381      0.704   -5875.780    3982.762\n",
       "삼진/9        5396.9728   7286.221      0.741      0.461   -9072.019    1.99e+04\n",
       "선발         -4797.3028   5489.352     -0.874      0.384   -1.57e+04    6103.463\n",
       "세           -250.6977   1295.377     -0.194      0.847   -2823.059    2321.663\n",
       "승            236.0253   2215.264      0.107      0.915   -4163.049    4635.100\n",
       "연봉(2017)    1.913e+04   1270.754     15.055      0.000    1.66e+04    2.17e+04\n",
       "이닝           854.0260   6623.940      0.129      0.898   -1.23e+04     1.4e+04\n",
       "패           1301.6197   1935.935      0.672      0.503   -2542.763    5146.003\n",
       "한화          5477.8879   2184.273      2.508      0.014    1140.355    9815.421\n",
       "홀드          -935.0728   1637.923     -0.571      0.569   -4187.663    2317.518\n",
       "홈런/9        1.814e+04   1.68e+04      1.082      0.282   -1.52e+04    5.14e+04\n",
       "==============================================================================\n",
       "Omnibus:                       28.069   Durbin-Watson:                   2.025\n",
       "Prob(Omnibus):                  0.000   Jarque-Bera (JB):              194.274\n",
       "Skew:                          -0.405   Prob(JB):                     6.52e-43\n",
       "Kurtosis:                       9.155   Cond. No.                     3.47e+16\n",
       "==============================================================================\n",
       "\n",
       "Notes:\n",
       "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
       "[2] The smallest eigenvalue is 6.59e-31. This might indicate that there are\n",
       "strong multicollinearity problems or that the design matrix is singular.\n",
       "\"\"\""
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import statsmodels.api as sm\n",
    "\n",
    "# statsmodel 라이브러리로 회귀 분석을 수행합니다.\n",
    "X_train = sm.add_constant(X_train)\n",
    "model = sm.OLS(y_train, X_train).fit()\n",
    "model.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Text(0, 0, 'const'),\n",
       " Text(1, 0, 'BABIP'),\n",
       " Text(2, 0, 'ERA'),\n",
       " Text(3, 0, 'FIP'),\n",
       " Text(4, 0, 'KIA'),\n",
       " Text(5, 0, 'KT'),\n",
       " Text(6, 0, 'LG'),\n",
       " Text(7, 0, 'LOB%'),\n",
       " Text(8, 0, 'NC'),\n",
       " Text(9, 0, 'RA9-WAR'),\n",
       " Text(10, 0, 'SK'),\n",
       " Text(11, 0, 'WAR'),\n",
       " Text(12, 0, 'kFIP'),\n",
       " Text(13, 0, '경기'),\n",
       " Text(14, 0, '두산'),\n",
       " Text(15, 0, '롯데'),\n",
       " Text(16, 0, '볼넷/9'),\n",
       " Text(17, 0, '블론'),\n",
       " Text(18, 0, '삼성'),\n",
       " Text(19, 0, '삼진/9'),\n",
       " Text(20, 0, '선발'),\n",
       " Text(21, 0, '세'),\n",
       " Text(22, 0, '승'),\n",
       " Text(23, 0, '연봉(2017)'),\n",
       " Text(24, 0, '이닝'),\n",
       " Text(25, 0, '패'),\n",
       " Text(26, 0, '한화'),\n",
       " Text(27, 0, '홀드'),\n",
       " Text(28, 0, '홈런/9')]"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1440x1152 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 한글 출력을 위한 사전 설정 단계입니다.\n",
    "mpl.rc('font', family='AppleGothic')\n",
    "plt.rcParams['figure.figsize'] = [20, 16]\n",
    "\n",
    "# 회귀 계수를 리스트로 반환합니다.\n",
    "coefs = model.params.tolist()\n",
    "coefs_series = pd.Series(coefs)\n",
    "\n",
    "# 변수명을 리스트로 반환합니다.\n",
    "x_labels = model.params.index.tolist()\n",
    "\n",
    "# 회귀 계수를 출력합니다.\n",
    "ax = coefs_series.plot(kind='bar')\n",
    "ax.set_title('feature_coef_graph')\n",
    "ax.set_xlabel('x_features')\n",
    "ax.set_ylabel('coef')\n",
    "ax.set_xticklabels(x_labels)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 학습 데이터와 테스트 데이터로 분리합니다.\n",
    "X = picher_df[picher_df.columns.difference(['선수명', 'y'])]\n",
    "y = picher_df['y']\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=19)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 회귀 분석 모델을 학습합니다.\n",
    "lr = linear_model.LinearRegression()\n",
    "model = lr.fit(X_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.9276949405576705\n",
      "0.8860171644977817\n"
     ]
    }
   ],
   "source": [
    "# 회귀 분석 모델을 평가합니다.\n",
    "print(model.score(X_train, y_train)) # train R2 score를 출력합니다.\n",
    "print(model.score(X_test, y_test)) # test R2 score를 출력합니다."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "7282.718684746374\n",
      "14310.696436889137\n"
     ]
    }
   ],
   "source": [
    "# 회귀 분석 모델을 평가합니다.\n",
    "y_predictions = lr.predict(X_train)\n",
    "print(sqrt(mean_squared_error(y_train, y_predictions))) # train RMSE score를 출력합니다.\n",
    "y_predictions = lr.predict(X_test)\n",
    "print(sqrt(mean_squared_error(y_test, y_predictions))) # test RMSE score를 출력합니다."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1440x1152 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "\n",
    "# 피처간의 상관계수 행렬을 계산합니다.\n",
    "corr = picher_df[scale_columns].corr(method='pearson')\n",
    "show_cols = ['win', 'lose', 'save', 'hold', 'blon', 'match', 'start', \n",
    "             'inning', 'strike3', 'ball4', 'homerun', 'BABIP', 'LOB', \n",
    "             'ERA', 'RA9-WAR', 'FIP', 'kFIP', 'WAR', '2017']\n",
    "\n",
    "# corr 행렬 히트맵을 시각화합니다.\n",
    "plt.rc('font', family='NanumGothicOTF')\n",
    "sns.set(font_scale=1.5)\n",
    "hm = sns.heatmap(corr.values,\n",
    "            cbar=True,\n",
    "            annot=True, \n",
    "            square=True,\n",
    "            fmt='.2f',\n",
    "            annot_kws={'size': 15},\n",
    "            yticklabels=show_cols,\n",
    "            xticklabels=show_cols)\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "from statsmodels.stats.outliers_influence import variance_inflation_factor"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "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>VIF Factor</th>\n",
       "      <th>features</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>3.2</td>\n",
       "      <td>BABIP</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>10.6</td>\n",
       "      <td>ERA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>14238.3</td>\n",
       "      <td>FIP</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1.1</td>\n",
       "      <td>KIA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1.1</td>\n",
       "      <td>KT</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1.1</td>\n",
       "      <td>LG</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>4.3</td>\n",
       "      <td>LOB%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>1.1</td>\n",
       "      <td>NC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>13.6</td>\n",
       "      <td>RA9-WAR</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>1.1</td>\n",
       "      <td>SK</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>10.4</td>\n",
       "      <td>WAR</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>10264.1</td>\n",
       "      <td>kFIP</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>14.6</td>\n",
       "      <td>경기</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>1.2</td>\n",
       "      <td>두산</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>1.1</td>\n",
       "      <td>롯데</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>57.8</td>\n",
       "      <td>볼넷/9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>3.0</td>\n",
       "      <td>블론</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>1.2</td>\n",
       "      <td>삼성</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>89.5</td>\n",
       "      <td>삼진/9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>39.6</td>\n",
       "      <td>선발</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>3.1</td>\n",
       "      <td>세</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>8.0</td>\n",
       "      <td>승</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>2.5</td>\n",
       "      <td>연봉(2017)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>63.8</td>\n",
       "      <td>이닝</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>5.9</td>\n",
       "      <td>패</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>1.1</td>\n",
       "      <td>한화</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>3.8</td>\n",
       "      <td>홀드</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>425.6</td>\n",
       "      <td>홈런/9</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    VIF Factor  features\n",
       "0          3.2     BABIP\n",
       "1         10.6       ERA\n",
       "2      14238.3       FIP\n",
       "3          1.1       KIA\n",
       "4          1.1        KT\n",
       "5          1.1        LG\n",
       "6          4.3      LOB%\n",
       "7          1.1        NC\n",
       "8         13.6   RA9-WAR\n",
       "9          1.1        SK\n",
       "10        10.4       WAR\n",
       "11     10264.1      kFIP\n",
       "12        14.6        경기\n",
       "13         1.2        두산\n",
       "14         1.1        롯데\n",
       "15        57.8      볼넷/9\n",
       "16         3.0        블론\n",
       "17         1.2        삼성\n",
       "18        89.5      삼진/9\n",
       "19        39.6        선발\n",
       "20         3.1         세\n",
       "21         8.0         승\n",
       "22         2.5  연봉(2017)\n",
       "23        63.8        이닝\n",
       "24         5.9         패\n",
       "25         1.1        한화\n",
       "26         3.8        홀드\n",
       "27       425.6      홈런/9"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 피처마다의 VIF 계수를 출력합니다.\n",
    "vif = pd.DataFrame()\n",
    "vif[\"VIF Factor\"] = [variance_inflation_factor(X.values, i) for i in range(X.shape[1])]\n",
    "vif[\"features\"] = X.columns\n",
    "vif.round(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 피처를 재선정합니다.\n",
    "X = picher_df[['FIP', 'WAR', '볼넷/9', '삼진/9', '연봉(2017)']]\n",
    "y = picher_df['y']\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=19)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 모델을 학습합니다.\n",
    "lr = linear_model.LinearRegression()\n",
    "model = lr.fit(X_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.9150591192570362\n",
      "0.9038759653889865\n"
     ]
    }
   ],
   "source": [
    "# 결과를 출력합니다.\n",
    "print(model.score(X_train, y_train)) # train R2 score를 출력합니다.\n",
    "print(model.score(X_test, y_test)) # test R2 score를 출력합니다."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "7893.462873347693\n",
      "13141.866063591084\n"
     ]
    }
   ],
   "source": [
    "# 회귀 분석 모델을 평가합니다.\n",
    "y_predictions = lr.predict(X_train)\n",
    "print(sqrt(mean_squared_error(y_train, y_predictions))) # train RMSE score를 출력합니다.\n",
    "y_predictions = lr.predict(X_test)\n",
    "print(sqrt(mean_squared_error(y_test, y_predictions))) # test RMSE score를 출력합니다."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\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>VIF Factor</th>\n",
       "      <th>features</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1.9</td>\n",
       "      <td>FIP</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2.1</td>\n",
       "      <td>WAR</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1.9</td>\n",
       "      <td>볼넷/9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1.1</td>\n",
       "      <td>삼진/9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1.9</td>\n",
       "      <td>연봉(2017)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   VIF Factor  features\n",
       "0         1.9       FIP\n",
       "1         2.1       WAR\n",
       "2         1.9      볼넷/9\n",
       "3         1.1      삼진/9\n",
       "4         1.9  연봉(2017)"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 피처마다의 VIF 계수를 출력합니다.\n",
    "X = picher_df[['FIP', 'WAR', '볼넷/9', '삼진/9', '연봉(2017)']]\n",
    "vif = pd.DataFrame()\n",
    "vif[\"VIF Factor\"] = [variance_inflation_factor(X.values, i) for i in range(X.shape[1])]\n",
    "vif[\"features\"] = X.columns\n",
    "vif.round(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 2018년 연봉을 예측하여 데이터프레임의 column으로 생성합니다.\n",
    "X = picher_df[['FIP', 'WAR', '볼넷/9', '삼진/9', '연봉(2017)']]\n",
    "predict_2018_salary = lr.predict(X)\n",
    "picher_df['예측연봉(2018)'] = pd.Series(predict_2018_salary)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "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>index</th>\n",
       "      <th>선수명</th>\n",
       "      <th>실제연봉(2018)</th>\n",
       "      <th>예측연봉(2018)</th>\n",
       "      <th>작년연봉(2017)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>양현종</td>\n",
       "      <td>230000</td>\n",
       "      <td>163930.148696</td>\n",
       "      <td>150000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>켈리</td>\n",
       "      <td>140000</td>\n",
       "      <td>120122.822204</td>\n",
       "      <td>85000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>소사</td>\n",
       "      <td>120000</td>\n",
       "      <td>88127.019455</td>\n",
       "      <td>50000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>레일리</td>\n",
       "      <td>111000</td>\n",
       "      <td>102253.697589</td>\n",
       "      <td>85000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>7</td>\n",
       "      <td>피어밴드</td>\n",
       "      <td>85000</td>\n",
       "      <td>58975.725734</td>\n",
       "      <td>35000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>13</td>\n",
       "      <td>배영수</td>\n",
       "      <td>50000</td>\n",
       "      <td>56873.662417</td>\n",
       "      <td>55000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>21</td>\n",
       "      <td>안영명</td>\n",
       "      <td>35000</td>\n",
       "      <td>22420.790838</td>\n",
       "      <td>20000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>22</td>\n",
       "      <td>채병용</td>\n",
       "      <td>30000</td>\n",
       "      <td>21178.955105</td>\n",
       "      <td>25000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>23</td>\n",
       "      <td>류제국</td>\n",
       "      <td>29000</td>\n",
       "      <td>45122.360087</td>\n",
       "      <td>35000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>24</td>\n",
       "      <td>박정진</td>\n",
       "      <td>25000</td>\n",
       "      <td>29060.748299</td>\n",
       "      <td>33000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   index   선수명  실제연봉(2018)     예측연봉(2018)  작년연봉(2017)\n",
       "0      0   양현종      230000  163930.148696      150000\n",
       "1      1    켈리      140000  120122.822204       85000\n",
       "2      2    소사      120000   88127.019455       50000\n",
       "3      4   레일리      111000  102253.697589       85000\n",
       "4      7  피어밴드       85000   58975.725734       35000\n",
       "5     13   배영수       50000   56873.662417       55000\n",
       "6     21   안영명       35000   22420.790838       20000\n",
       "7     22   채병용       30000   21178.955105       25000\n",
       "8     23   류제국       29000   45122.360087       35000\n",
       "9     24   박정진       25000   29060.748299       33000"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 원래의 데이터 프레임을 다시 로드합니다.\n",
    "picher = pd.read_csv(picher_file_path)\n",
    "picher = picher[['선수명', '연봉(2017)']]\n",
    "\n",
    "# 원래의 데이터 프레임에 2018년 연봉 정보를 합칩니다.\n",
    "result_df = picher_df.sort_values(by=['y'], ascending=False)\n",
    "result_df.drop(['연봉(2017)'], axis=1, inplace=True, errors='ignore')\n",
    "result_df = result_df.merge(picher, on=['선수명'], how='left')\n",
    "result_df = result_df[['선수명', 'y', '예측연봉(2018)', '연봉(2017)']]\n",
    "result_df.columns = ['선수명', '실제연봉(2018)', '예측연봉(2018)', '작년연봉(2017)']\n",
    "\n",
    "# 재계약하여 연봉이 변화한 선수만을 대상으로 관찰합니다.\n",
    "result_df = result_df[result_df['작년연봉(2017)'] != result_df['실제연봉(2018)']]\n",
    "result_df = result_df.reset_index()\n",
    "result_df = result_df.iloc[:10, :]\n",
    "result_df.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='선수명'>"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1440x1152 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 선수별 연봉 정보(작년 연봉, 예측 연봉, 실제 연봉)를 bar 그래프로 출력합니다.\n",
    "mpl.rc('font', family='NanumGothicOTF')\n",
    "result_df.plot(x='선수명', y=['작년연봉(2017)', '예측연봉(2018)', '실제연봉(2018)'], kind=\"bar\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.10"
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": true,
   "sideBar": true,
   "skip_h1_title": false,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {
    "height": "calc(100% - 180px)",
    "left": "10px",
    "top": "150px",
    "width": "384px"
   },
   "toc_section_display": true,
   "toc_window_display": true
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}