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日本プロ野球wOBA&wRAA算出サンプル&ランキング
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wRAA_Ranking_20170506.ipynb
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"rm: /Users/hogefuga/.matplotlib/fontList.cache: No such file or directory\r\n"
]
}
],
"source": [
"# グラフ関係の設定\n",
"import matplotlib as mpl\n",
"font_cache_path = mpl.get_cachedir() + '/fontList.cache'\n",
"font_cache_path3 = mpl.get_cachedir() + '/fontList.py3k.cache'\n",
"%rm $font_cache_path\n",
"%rm $font_cache_path3\n",
"\n",
"import matplotlib.pyplot as plt\n",
"mpl.rcParams['font.family'] = 'IPAPMincho'\n",
"import seaborn as sns\n",
"sns.set(font='IPAPMincho')"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"['IPAPMincho']"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# fontが有効か確認\n",
"mpl.rcParams['font.family']\n"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"# notebookの中でmatplotlibのグラフを書くお\n",
"%matplotlib inline"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"# pandasとseaborn使うぞ！\n",
"import pandas as pd\n",
"import seaborn"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"# DBのコネクションを作るよ\n",
"from sqlalchemy import create_engine"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"URL = '{dialect}+{driver}://{user}:{password}@{host}:{port}/{database}?charset={encoding}'"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"DATABASE_ENGINE = 'mysql'"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"CONFIG_FILE='/Users/hogefuga/PycharmProjects/baseball_spider/baseball_lab/config.ini'"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"from configparser import ConfigParser\n",
"config = ConfigParser()\n",
"config.read(CONFIG_FILE)\n",
"params = dict(config[DATABASE_ENGINE])\n",
"engine = create_engine(URL.format(**params), encoding=params.get('encoding'))"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"# SQLクエリーからデータセット(Dataframe)を取るよ！今回は30打席以上出場している選手を対象\n",
"df = pd.read_sql('select team, name, ba, rbi, hr, obp, slg, ops, rc27, woba, wraa from player_batting where year=2017 and ab >= 30 order by wraa desc ', engine)"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style>\n",
" .dataframe thead tr:only-child th {\n",
" text-align: right;\n",
" }\n",
"\n",
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" text-align: left;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>team</th>\n",
" <th>name</th>\n",
" <th>ba</th>\n",
" <th>rbi</th>\n",
" <th>hr</th>\n",
" <th>obp</th>\n",
" <th>slg</th>\n",
" <th>ops</th>\n",
" <th>rc27</th>\n",
" <th>woba</th>\n",
" <th>wraa</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>Bs</td>\n",
" <td>Ｔ－岡田</td>\n",
" <td>0.370</td>\n",
" <td>18</td>\n",
" <td>9</td>\n",
" <td>0.504</td>\n",
" <td>0.707</td>\n",
" <td>1.211</td>\n",
" <td>13.88</td>\n",
" <td>0.509</td>\n",
" <td>16.8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>F</td>\n",
" <td>近藤 健介</td>\n",
" <td>0.400</td>\n",
" <td>19</td>\n",
" <td>2</td>\n",
" <td>0.537</td>\n",
" <td>0.556</td>\n",
" <td>1.093</td>\n",
" <td>13.06</td>\n",
" <td>0.474</td>\n",
" <td>14.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>G</td>\n",
" <td>坂本 勇人</td>\n",
" <td>0.383</td>\n",
" <td>16</td>\n",
" <td>4</td>\n",
" <td>0.434</td>\n",
" <td>0.565</td>\n",
" <td>0.999</td>\n",
" <td>9.68</td>\n",
" <td>0.430</td>\n",
" <td>10.3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>H</td>\n",
" <td>内川 聖一</td>\n",
" <td>0.357</td>\n",
" <td>23</td>\n",
" <td>5</td>\n",
" <td>0.447</td>\n",
" <td>0.545</td>\n",
" <td>0.992</td>\n",
" <td>9.04</td>\n",
" <td>0.428</td>\n",
" <td>10.3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>C</td>\n",
" <td>エルドレッド</td>\n",
" <td>0.337</td>\n",
" <td>22</td>\n",
" <td>6</td>\n",
" <td>0.434</td>\n",
" <td>0.584</td>\n",
" <td>1.018</td>\n",
" <td>8.96</td>\n",
" <td>0.436</td>\n",
" <td>9.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>C</td>\n",
" <td>丸 佳浩</td>\n",
" <td>0.317</td>\n",
" <td>17</td>\n",
" <td>5</td>\n",
" <td>0.432</td>\n",
" <td>0.492</td>\n",
" <td>0.923</td>\n",
" <td>8.51</td>\n",
" <td>0.404</td>\n",
" <td>8.7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>E</td>\n",
" <td>茂木 栄五郎</td>\n",
" <td>0.309</td>\n",
" <td>18</td>\n",
" <td>6</td>\n",
" <td>0.409</td>\n",
" <td>0.567</td>\n",
" <td>0.976</td>\n",
" <td>8.67</td>\n",
" <td>0.419</td>\n",
" <td>8.4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>L</td>\n",
" <td>秋山 翔吾</td>\n",
" <td>0.327</td>\n",
" <td>11</td>\n",
" <td>5</td>\n",
" <td>0.419</td>\n",
" <td>0.536</td>\n",
" <td>0.955</td>\n",
" <td>8.78</td>\n",
" <td>0.412</td>\n",
" <td>8.4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>E</td>\n",
" <td>ペゲーロ</td>\n",
" <td>0.290</td>\n",
" <td>21</td>\n",
" <td>7</td>\n",
" <td>0.393</td>\n",
" <td>0.580</td>\n",
" <td>0.973</td>\n",
" <td>7.35</td>\n",
" <td>0.417</td>\n",
" <td>8.1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>T</td>\n",
" <td>糸井 嘉男</td>\n",
" <td>0.321</td>\n",
" <td>25</td>\n",
" <td>4</td>\n",
" <td>0.443</td>\n",
" <td>0.462</td>\n",
" <td>0.905</td>\n",
" <td>7.65</td>\n",
" <td>0.400</td>\n",
" <td>7.3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10</th>\n",
" <td>C</td>\n",
" <td>新井 貴浩</td>\n",
" <td>0.314</td>\n",
" <td>19</td>\n",
" <td>5</td>\n",
" <td>0.417</td>\n",
" <td>0.535</td>\n",
" <td>0.952</td>\n",
" <td>7.41</td>\n",
" <td>0.411</td>\n",
" <td>6.6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11</th>\n",
" <td>G</td>\n",
" <td>マギー</td>\n",
" <td>0.315</td>\n",
" <td>21</td>\n",
" <td>4</td>\n",
" <td>0.382</td>\n",
" <td>0.514</td>\n",
" <td>0.896</td>\n",
" <td>7.00</td>\n",
" <td>0.388</td>\n",
" <td>5.7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>12</th>\n",
" <td>Bs</td>\n",
" <td>小谷野 栄一</td>\n",
" <td>0.389</td>\n",
" <td>14</td>\n",
" <td>2</td>\n",
" <td>0.421</td>\n",
" <td>0.481</td>\n",
" <td>0.903</td>\n",
" <td>8.01</td>\n",
" <td>0.392</td>\n",
" <td>5.7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>13</th>\n",
" <td>H</td>\n",
" <td>上林 誠知</td>\n",
" <td>0.310</td>\n",
" <td>16</td>\n",
" <td>6</td>\n",
" <td>0.341</td>\n",
" <td>0.607</td>\n",
" <td>0.948</td>\n",
" <td>7.46</td>\n",
" <td>0.406</td>\n",
" <td>5.4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>14</th>\n",
" <td>T</td>\n",
" <td>福留 孝介</td>\n",
" <td>0.313</td>\n",
" <td>18</td>\n",
" <td>3</td>\n",
" <td>0.420</td>\n",
" <td>0.455</td>\n",
" <td>0.875</td>\n",
" <td>6.11</td>\n",
" <td>0.386</td>\n",
" <td>5.3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>15</th>\n",
" <td>D</td>\n",
" <td>大島 洋平</td>\n",
" <td>0.359</td>\n",
" <td>9</td>\n",
" <td>1</td>\n",
" <td>0.408</td>\n",
" <td>0.443</td>\n",
" <td>0.851</td>\n",
" <td>6.68</td>\n",
" <td>0.374</td>\n",
" <td>5.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>16</th>\n",
" <td>H</td>\n",
" <td>柳田 悠岐</td>\n",
" <td>0.264</td>\n",
" <td>13</td>\n",
" <td>4</td>\n",
" <td>0.439</td>\n",
" <td>0.407</td>\n",
" <td>0.846</td>\n",
" <td>6.53</td>\n",
" <td>0.381</td>\n",
" <td>5.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>17</th>\n",
" <td>L</td>\n",
" <td>浅村 栄斗</td>\n",
" <td>0.350</td>\n",
" <td>23</td>\n",
" <td>2</td>\n",
" <td>0.389</td>\n",
" <td>0.470</td>\n",
" <td>0.859</td>\n",
" <td>6.84</td>\n",
" <td>0.374</td>\n",
" <td>4.4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>18</th>\n",
" <td>E</td>\n",
" <td>岡島 豪郎</td>\n",
" <td>0.342</td>\n",
" <td>9</td>\n",
" <td>1</td>\n",
" <td>0.409</td>\n",
" <td>0.487</td>\n",
" <td>0.896</td>\n",
" <td>7.93</td>\n",
" <td>0.389</td>\n",
" <td>4.2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>19</th>\n",
" <td>L</td>\n",
" <td>中村 剛也</td>\n",
" <td>0.274</td>\n",
" <td>25</td>\n",
" <td>8</td>\n",
" <td>0.316</td>\n",
" <td>0.575</td>\n",
" <td>0.892</td>\n",
" <td>5.92</td>\n",
" <td>0.376</td>\n",
" <td>4.2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>20</th>\n",
" <td>C</td>\n",
" <td>鈴木 誠也</td>\n",
" <td>0.302</td>\n",
" <td>22</td>\n",
" <td>5</td>\n",
" <td>0.362</td>\n",
" <td>0.484</td>\n",
" <td>0.846</td>\n",
" <td>6.22</td>\n",
" <td>0.367</td>\n",
" <td>4.1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>21</th>\n",
" <td>M</td>\n",
" <td>鈴木 大地</td>\n",
" <td>0.294</td>\n",
" <td>12</td>\n",
" <td>4</td>\n",
" <td>0.374</td>\n",
" <td>0.480</td>\n",
" <td>0.854</td>\n",
" <td>6.51</td>\n",
" <td>0.375</td>\n",
" <td>4.1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>22</th>\n",
" <td>E</td>\n",
" <td>銀次</td>\n",
" <td>0.330</td>\n",
" <td>11</td>\n",
" <td>1</td>\n",
" <td>0.414</td>\n",
" <td>0.423</td>\n",
" <td>0.837</td>\n",
" <td>6.95</td>\n",
" <td>0.373</td>\n",
" <td>3.8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>23</th>\n",
" <td>DB</td>\n",
" <td>筒香 嘉智</td>\n",
" <td>0.292</td>\n",
" <td>15</td>\n",
" <td>2</td>\n",
" <td>0.406</td>\n",
" <td>0.425</td>\n",
" <td>0.831</td>\n",
" <td>6.59</td>\n",
" <td>0.364</td>\n",
" <td>3.4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>24</th>\n",
" <td>S</td>\n",
" <td>中村 悠平</td>\n",
" <td>0.286</td>\n",
" <td>7</td>\n",
" <td>0</td>\n",
" <td>0.430</td>\n",
" <td>0.363</td>\n",
" <td>0.792</td>\n",
" <td>5.64</td>\n",
" <td>0.366</td>\n",
" <td>3.4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>25</th>\n",
" <td>C</td>\n",
" <td>安部 友裕</td>\n",
" <td>0.384</td>\n",
" <td>12</td>\n",
" <td>0</td>\n",
" <td>0.413</td>\n",
" <td>0.442</td>\n",
" <td>0.855</td>\n",
" <td>7.30</td>\n",
" <td>0.373</td>\n",
" <td>3.2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>26</th>\n",
" <td>DB</td>\n",
" <td>ロペス</td>\n",
" <td>0.312</td>\n",
" <td>22</td>\n",
" <td>5</td>\n",
" <td>0.331</td>\n",
" <td>0.504</td>\n",
" <td>0.835</td>\n",
" <td>5.70</td>\n",
" <td>0.360</td>\n",
" <td>3.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>27</th>\n",
" <td>Bs</td>\n",
" <td>ロメロ</td>\n",
" <td>0.281</td>\n",
" <td>12</td>\n",
" <td>5</td>\n",
" <td>0.339</td>\n",
" <td>0.579</td>\n",
" <td>0.918</td>\n",
" <td>5.86</td>\n",
" <td>0.392</td>\n",
" <td>3.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>28</th>\n",
" <td>H</td>\n",
" <td>デスパイネ</td>\n",
" <td>0.239</td>\n",
" <td>24</td>\n",
" <td>7</td>\n",
" <td>0.346</td>\n",
" <td>0.469</td>\n",
" <td>0.815</td>\n",
" <td>4.71</td>\n",
" <td>0.356</td>\n",
" <td>2.7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>29</th>\n",
" <td>E</td>\n",
" <td>島内 宏明</td>\n",
" <td>0.290</td>\n",
" <td>13</td>\n",
" <td>4</td>\n",
" <td>0.357</td>\n",
" <td>0.460</td>\n",
" <td>0.817</td>\n",
" <td>5.42</td>\n",
" <td>0.355</td>\n",
" <td>2.2</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",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>97</th>\n",
" <td>G</td>\n",
" <td>中井 大介</td>\n",
" <td>0.244</td>\n",
" <td>6</td>\n",
" <td>3</td>\n",
" <td>0.290</td>\n",
" <td>0.350</td>\n",
" <td>0.640</td>\n",
" <td>3.30</td>\n",
" <td>0.282</td>\n",
" <td>-5.3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>98</th>\n",
" <td>S</td>\n",
" <td>大引 啓次</td>\n",
" <td>0.235</td>\n",
" <td>6</td>\n",
" <td>1</td>\n",
" <td>0.312</td>\n",
" <td>0.286</td>\n",
" <td>0.598</td>\n",
" <td>3.02</td>\n",
" <td>0.272</td>\n",
" <td>-5.4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>99</th>\n",
" <td>C</td>\n",
" <td>菊池 涼介</td>\n",
" <td>0.248</td>\n",
" <td>10</td>\n",
" <td>2</td>\n",
" <td>0.288</td>\n",
" <td>0.352</td>\n",
" <td>0.640</td>\n",
" <td>3.26</td>\n",
" <td>0.282</td>\n",
" <td>-5.5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>100</th>\n",
" <td>H</td>\n",
" <td>髙谷 裕亮</td>\n",
" <td>0.218</td>\n",
" <td>4</td>\n",
" <td>0</td>\n",
" <td>0.259</td>\n",
" <td>0.218</td>\n",
" <td>0.477</td>\n",
" <td>1.87</td>\n",
" <td>0.215</td>\n",
" <td>-5.5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>101</th>\n",
" <td>L</td>\n",
" <td>炭谷 銀仁朗</td>\n",
" <td>0.203</td>\n",
" <td>3</td>\n",
" <td>0</td>\n",
" <td>0.261</td>\n",
" <td>0.250</td>\n",
" <td>0.511</td>\n",
" <td>1.21</td>\n",
" <td>0.235</td>\n",
" <td>-5.5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>102</th>\n",
" <td>M</td>\n",
" <td>田村 龍弘</td>\n",
" <td>0.211</td>\n",
" <td>8</td>\n",
" <td>1</td>\n",
" <td>0.275</td>\n",
" <td>0.282</td>\n",
" <td>0.557</td>\n",
" <td>2.16</td>\n",
" <td>0.249</td>\n",
" <td>-5.7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>103</th>\n",
" <td>D</td>\n",
" <td>荒木 雅博</td>\n",
" <td>0.257</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0.286</td>\n",
" <td>0.257</td>\n",
" <td>0.542</td>\n",
" <td>2.40</td>\n",
" <td>0.240</td>\n",
" <td>-5.8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>104</th>\n",
" <td>G</td>\n",
" <td>長野 久義</td>\n",
" <td>0.203</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0.268</td>\n",
" <td>0.243</td>\n",
" <td>0.512</td>\n",
" <td>1.57</td>\n",
" <td>0.235</td>\n",
" <td>-6.3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>105</th>\n",
" <td>H</td>\n",
" <td>本多 雄一</td>\n",
" <td>0.190</td>\n",
" <td>3</td>\n",
" <td>0</td>\n",
" <td>0.282</td>\n",
" <td>0.206</td>\n",
" <td>0.488</td>\n",
" <td>1.70</td>\n",
" <td>0.231</td>\n",
" <td>-6.3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>106</th>\n",
" <td>M</td>\n",
" <td>井上 晴哉</td>\n",
" <td>0.220</td>\n",
" <td>9</td>\n",
" <td>0</td>\n",
" <td>0.268</td>\n",
" <td>0.286</td>\n",
" <td>0.554</td>\n",
" <td>2.32</td>\n",
" <td>0.251</td>\n",
" <td>-6.3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>107</th>\n",
" <td>T</td>\n",
" <td>梅野 隆太郎</td>\n",
" <td>0.217</td>\n",
" <td>15</td>\n",
" <td>1</td>\n",
" <td>0.273</td>\n",
" <td>0.293</td>\n",
" <td>0.566</td>\n",
" <td>2.59</td>\n",
" <td>0.254</td>\n",
" <td>-6.6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>108</th>\n",
" <td>F</td>\n",
" <td>田中 賢介</td>\n",
" <td>0.227</td>\n",
" <td>6</td>\n",
" <td>1</td>\n",
" <td>0.292</td>\n",
" <td>0.268</td>\n",
" <td>0.560</td>\n",
" <td>2.61</td>\n",
" <td>0.250</td>\n",
" <td>-6.9</td>\n",
" </tr>\n",
" <tr>\n",
" <th>109</th>\n",
" <td>M</td>\n",
" <td>大嶺 翔太</td>\n",
" <td>0.151</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>0.179</td>\n",
" <td>0.245</td>\n",
" <td>0.424</td>\n",
" <td>0.75</td>\n",
" <td>0.185</td>\n",
" <td>-7.1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>110</th>\n",
" <td>Bs</td>\n",
" <td>若月 健矢</td>\n",
" <td>0.137</td>\n",
" <td>4</td>\n",
" <td>0</td>\n",
" <td>0.185</td>\n",
" <td>0.216</td>\n",
" <td>0.401</td>\n",
" <td>0.29</td>\n",
" <td>0.185</td>\n",
" <td>-7.2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>111</th>\n",
" <td>M</td>\n",
" <td>清田 育宏</td>\n",
" <td>0.130</td>\n",
" <td>2</td>\n",
" <td>0</td>\n",
" <td>0.242</td>\n",
" <td>0.148</td>\n",
" <td>0.390</td>\n",
" <td>0.86</td>\n",
" <td>0.195</td>\n",
" <td>-7.2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>112</th>\n",
" <td>M</td>\n",
" <td>荻野 貴司</td>\n",
" <td>0.159</td>\n",
" <td>2</td>\n",
" <td>0</td>\n",
" <td>0.232</td>\n",
" <td>0.190</td>\n",
" <td>0.422</td>\n",
" <td>1.13</td>\n",
" <td>0.200</td>\n",
" <td>-7.4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>113</th>\n",
" <td>F</td>\n",
" <td>岡 大海</td>\n",
" <td>0.122</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0.143</td>\n",
" <td>0.122</td>\n",
" <td>0.265</td>\n",
" <td>-1.56</td>\n",
" <td>0.119</td>\n",
" <td>-7.4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>114</th>\n",
" <td>L</td>\n",
" <td>田代 将太郎</td>\n",
" <td>0.082</td>\n",
" <td>4</td>\n",
" <td>1</td>\n",
" <td>0.151</td>\n",
" <td>0.184</td>\n",
" <td>0.335</td>\n",
" <td>-0.21</td>\n",
" <td>0.157</td>\n",
" <td>-7.4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115</th>\n",
" <td>D</td>\n",
" <td>杉山 翔大</td>\n",
" <td>0.091</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0.226</td>\n",
" <td>0.091</td>\n",
" <td>0.317</td>\n",
" <td>0.10</td>\n",
" <td>0.160</td>\n",
" <td>-7.6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>116</th>\n",
" <td>D</td>\n",
" <td>京田 陽太</td>\n",
" <td>0.218</td>\n",
" <td>7</td>\n",
" <td>1</td>\n",
" <td>0.245</td>\n",
" <td>0.297</td>\n",
" <td>0.542</td>\n",
" <td>1.89</td>\n",
" <td>0.239</td>\n",
" <td>-8.2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>117</th>\n",
" <td>M</td>\n",
" <td>伊志嶺 翔大</td>\n",
" <td>0.148</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0.179</td>\n",
" <td>0.148</td>\n",
" <td>0.327</td>\n",
" <td>0.01</td>\n",
" <td>0.148</td>\n",
" <td>-8.4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>118</th>\n",
" <td>G</td>\n",
" <td>立岡 宗一郎</td>\n",
" <td>0.236</td>\n",
" <td>6</td>\n",
" <td>0</td>\n",
" <td>0.277</td>\n",
" <td>0.285</td>\n",
" <td>0.561</td>\n",
" <td>2.43</td>\n",
" <td>0.251</td>\n",
" <td>-8.5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>119</th>\n",
" <td>M</td>\n",
" <td>パラデス</td>\n",
" <td>0.130</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0.172</td>\n",
" <td>0.148</td>\n",
" <td>0.321</td>\n",
" <td>-0.06</td>\n",
" <td>0.149</td>\n",
" <td>-8.5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>120</th>\n",
" <td>E</td>\n",
" <td>ウィーラー</td>\n",
" <td>0.193</td>\n",
" <td>6</td>\n",
" <td>1</td>\n",
" <td>0.264</td>\n",
" <td>0.266</td>\n",
" <td>0.531</td>\n",
" <td>1.93</td>\n",
" <td>0.243</td>\n",
" <td>-8.6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>121</th>\n",
" <td>E</td>\n",
" <td>アマダー</td>\n",
" <td>0.204</td>\n",
" <td>9</td>\n",
" <td>2</td>\n",
" <td>0.239</td>\n",
" <td>0.272</td>\n",
" <td>0.510</td>\n",
" <td>1.40</td>\n",
" <td>0.225</td>\n",
" <td>-9.3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>122</th>\n",
" <td>Bs</td>\n",
" <td>安達 了一</td>\n",
" <td>0.170</td>\n",
" <td>5</td>\n",
" <td>0</td>\n",
" <td>0.291</td>\n",
" <td>0.190</td>\n",
" <td>0.481</td>\n",
" <td>1.58</td>\n",
" <td>0.235</td>\n",
" <td>-9.3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>123</th>\n",
" <td>DB</td>\n",
" <td>倉本 寿彦</td>\n",
" <td>0.208</td>\n",
" <td>5</td>\n",
" <td>0</td>\n",
" <td>0.250</td>\n",
" <td>0.236</td>\n",
" <td>0.486</td>\n",
" <td>1.55</td>\n",
" <td>0.220</td>\n",
" <td>-10.4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>124</th>\n",
" <td>L</td>\n",
" <td>木村 文紀</td>\n",
" <td>0.178</td>\n",
" <td>4</td>\n",
" <td>0</td>\n",
" <td>0.227</td>\n",
" <td>0.200</td>\n",
" <td>0.427</td>\n",
" <td>0.78</td>\n",
" <td>0.194</td>\n",
" <td>-10.9</td>\n",
" </tr>\n",
" <tr>\n",
" <th>125</th>\n",
" <td>F</td>\n",
" <td>中島 卓也</td>\n",
" <td>0.172</td>\n",
" <td>2</td>\n",
" <td>0</td>\n",
" <td>0.230</td>\n",
" <td>0.204</td>\n",
" <td>0.434</td>\n",
" <td>1.31</td>\n",
" <td>0.200</td>\n",
" <td>-11.6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>126</th>\n",
" <td>G</td>\n",
" <td>小林 誠司</td>\n",
" <td>0.165</td>\n",
" <td>4</td>\n",
" <td>0</td>\n",
" <td>0.248</td>\n",
" <td>0.176</td>\n",
" <td>0.423</td>\n",
" <td>0.79</td>\n",
" <td>0.192</td>\n",
" <td>-11.9</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>127 rows × 11 columns</p>\n",
"</div>"
],
"text/plain": [
" team name ba rbi hr obp slg ops rc27 woba wraa\n",
"0 Bs Ｔ－岡田 0.370 18 9 0.504 0.707 1.211 13.88 0.509 16.8\n",
"1 F 近藤 健介 0.400 19 2 0.537 0.556 1.093 13.06 0.474 14.0\n",
"2 G 坂本 勇人 0.383 16 4 0.434 0.565 0.999 9.68 0.430 10.3\n",
"3 H 内川 聖一 0.357 23 5 0.447 0.545 0.992 9.04 0.428 10.3\n",
"4 C エルドレッド 0.337 22 6 0.434 0.584 1.018 8.96 0.436 9.0\n",
"5 C 丸 佳浩 0.317 17 5 0.432 0.492 0.923 8.51 0.404 8.7\n",
"6 E 茂木 栄五郎 0.309 18 6 0.409 0.567 0.976 8.67 0.419 8.4\n",
"7 L 秋山 翔吾 0.327 11 5 0.419 0.536 0.955 8.78 0.412 8.4\n",
"8 E ペゲーロ 0.290 21 7 0.393 0.580 0.973 7.35 0.417 8.1\n",
"9 T 糸井 嘉男 0.321 25 4 0.443 0.462 0.905 7.65 0.400 7.3\n",
"10 C 新井 貴浩 0.314 19 5 0.417 0.535 0.952 7.41 0.411 6.6\n",
"11 G マギー 0.315 21 4 0.382 0.514 0.896 7.00 0.388 5.7\n",
"12 Bs 小谷野 栄一 0.389 14 2 0.421 0.481 0.903 8.01 0.392 5.7\n",
"13 H 上林 誠知 0.310 16 6 0.341 0.607 0.948 7.46 0.406 5.4\n",
"14 T 福留 孝介 0.313 18 3 0.420 0.455 0.875 6.11 0.386 5.3\n",
"15 D 大島 洋平 0.359 9 1 0.408 0.443 0.851 6.68 0.374 5.0\n",
"16 H 柳田 悠岐 0.264 13 4 0.439 0.407 0.846 6.53 0.381 5.0\n",
"17 L 浅村 栄斗 0.350 23 2 0.389 0.470 0.859 6.84 0.374 4.4\n",
"18 E 岡島 豪郎 0.342 9 1 0.409 0.487 0.896 7.93 0.389 4.2\n",
"19 L 中村 剛也 0.274 25 8 0.316 0.575 0.892 5.92 0.376 4.2\n",
"20 C 鈴木 誠也 0.302 22 5 0.362 0.484 0.846 6.22 0.367 4.1\n",
"21 M 鈴木 大地 0.294 12 4 0.374 0.480 0.854 6.51 0.375 4.1\n",
"22 E 銀次 0.330 11 1 0.414 0.423 0.837 6.95 0.373 3.8\n",
"23 DB 筒香 嘉智 0.292 15 2 0.406 0.425 0.831 6.59 0.364 3.4\n",
"24 S 中村 悠平 0.286 7 0 0.430 0.363 0.792 5.64 0.366 3.4\n",
"25 C 安部 友裕 0.384 12 0 0.413 0.442 0.855 7.30 0.373 3.2\n",
"26 DB ロペス 0.312 22 5 0.331 0.504 0.835 5.70 0.360 3.0\n",
"27 Bs ロメロ 0.281 12 5 0.339 0.579 0.918 5.86 0.392 3.0\n",
"28 H デスパイネ 0.239 24 7 0.346 0.469 0.815 4.71 0.356 2.7\n",
"29 E 島内 宏明 0.290 13 4 0.357 0.460 0.817 5.42 0.355 2.2\n",
".. ... ... ... ... .. ... ... ... ... ... ...\n",
"97 G 中井 大介 0.244 6 3 0.290 0.350 0.640 3.30 0.282 -5.3\n",
"98 S 大引 啓次 0.235 6 1 0.312 0.286 0.598 3.02 0.272 -5.4\n",
"99 C 菊池 涼介 0.248 10 2 0.288 0.352 0.640 3.26 0.282 -5.5\n",
"100 H 髙谷 裕亮 0.218 4 0 0.259 0.218 0.477 1.87 0.215 -5.5\n",
"101 L 炭谷 銀仁朗 0.203 3 0 0.261 0.250 0.511 1.21 0.235 -5.5\n",
"102 M 田村 龍弘 0.211 8 1 0.275 0.282 0.557 2.16 0.249 -5.7\n",
"103 D 荒木 雅博 0.257 0 0 0.286 0.257 0.542 2.40 0.240 -5.8\n",
"104 G 長野 久義 0.203 1 0 0.268 0.243 0.512 1.57 0.235 -6.3\n",
"105 H 本多 雄一 0.190 3 0 0.282 0.206 0.488 1.70 0.231 -6.3\n",
"106 M 井上 晴哉 0.220 9 0 0.268 0.286 0.554 2.32 0.251 -6.3\n",
"107 T 梅野 隆太郎 0.217 15 1 0.273 0.293 0.566 2.59 0.254 -6.6\n",
"108 F 田中 賢介 0.227 6 1 0.292 0.268 0.560 2.61 0.250 -6.9\n",
"109 M 大嶺 翔太 0.151 2 1 0.179 0.245 0.424 0.75 0.185 -7.1\n",
"110 Bs 若月 健矢 0.137 4 0 0.185 0.216 0.401 0.29 0.185 -7.2\n",
"111 M 清田 育宏 0.130 2 0 0.242 0.148 0.390 0.86 0.195 -7.2\n",
"112 M 荻野 貴司 0.159 2 0 0.232 0.190 0.422 1.13 0.200 -7.4\n",
"113 F 岡 大海 0.122 0 0 0.143 0.122 0.265 -1.56 0.119 -7.4\n",
"114 L 田代 将太郎 0.082 4 1 0.151 0.184 0.335 -0.21 0.157 -7.4\n",
"115 D 杉山 翔大 0.091 1 0 0.226 0.091 0.317 0.10 0.160 -7.6\n",
"116 D 京田 陽太 0.218 7 1 0.245 0.297 0.542 1.89 0.239 -8.2\n",
"117 M 伊志嶺 翔大 0.148 1 0 0.179 0.148 0.327 0.01 0.148 -8.4\n",
"118 G 立岡 宗一郎 0.236 6 0 0.277 0.285 0.561 2.43 0.251 -8.5\n",
"119 M パラデス 0.130 1 0 0.172 0.148 0.321 -0.06 0.149 -8.5\n",
"120 E ウィーラー 0.193 6 1 0.264 0.266 0.531 1.93 0.243 -8.6\n",
"121 E アマダー 0.204 9 2 0.239 0.272 0.510 1.40 0.225 -9.3\n",
"122 Bs 安達 了一 0.170 5 0 0.291 0.190 0.481 1.58 0.235 -9.3\n",
"123 DB 倉本 寿彦 0.208 5 0 0.250 0.236 0.486 1.55 0.220 -10.4\n",
"124 L 木村 文紀 0.178 4 0 0.227 0.200 0.427 0.78 0.194 -10.9\n",
"125 F 中島 卓也 0.172 2 0 0.230 0.204 0.434 1.31 0.200 -11.6\n",
"126 G 小林 誠司 0.165 4 0 0.248 0.176 0.423 0.79 0.192 -11.9\n",
"\n",
"[127 rows x 11 columns]"
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# 中身をチェック\n",
"df"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.text.Text at 0x10b082048>"
]
},
"execution_count": 12,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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AAHRE6AsAAAAA0BGhLwAAAABAR4S+AAAAAAAdEfoCAAAAAHRE6AsAAAAA0BGh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\nOMMksn1w0eLdRc8vK9rn1g72GQAcZftbeplI+raeEV3v0jFJx9qOBEJ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pqguT/IamV+97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\nQ57hqQAAAABJRU5ErkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x10b012cf8>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# 試しにバファローズのグラフを描く\n",
"df.query('team==\"Bs\"')[['name', 'wraa']].plot.bar(y=['wraa'], ylim=(-20, 30), x=['name'], alpha=1.0, figsize=(24,8), fontsize=24)\n",
"plt.title(u'wRAA(バファローズ)', size=16)"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"# 良さそう,チームIDとチーム名のデータを用意\n",
"teams = ('Bs','C','D','DB','E','F','G','H','L','M','S','T',)\n",
"team_names = {\n",
" 'Bs': 'バファローズ',\n",
" 'C': 'カープ',\n",
" 'D': 'ドラゴンズ',\n",
" 'DB': 'ベイスターズ',\n",
" 'E': 'イーグルス',\n",
" 'F': 'ファイターズ',\n",
" 'G': 'ジャイアンツ',\n",
" 'H': 'ホークス',\n",
" 'L': 'ライオンズ',\n",
" 'M': 'マリーンズ',\n",
" 'S': 'スワローズ',\n",
" 'T': 'タイガース'\n",
"}"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"# データフレームを出力するための関数\n",
"def wraa_df(_df, team):\n",
" return _df.query('team==\"{}\"'.format(team))[['name', 'wraa']]"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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UJNsfFdbbfkjS0sAFHR2bewc9KukYYCAwDenGbGhCkg4A9gf6l2y6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\npgAAAABJRU5ErkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x10b012550>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
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6IvQFAAAAAOiI0BcAAAAAoCNCXwAAAACAjsxN6sVVtV9rbdcdmH9ckp9KcmuS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\nIWkd4A5Ji9k+uNkxhT4rX0J2SLUOX0jpHiQdRlr+v2NdIwu11uvlgrb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rKQnexuO7j2Xw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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x10b9472e8>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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+PQ08lf8+Riq8ezTwldZHG1pF0kzA7/PrWgDbd0m63/amdW2vbrDt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\nAABJRU5ErkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x10b98e898>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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QhyTNLOlQANtvkEZR/Lewy3PA3cVjbJ9PNzfooVok7UX6+wdYB3i5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\nu7cn1hBCGEnS2KQCLTsCcwLrRn616pI0DbCF7T/VrZ+AlN5hJdtflBJ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"text/plain": [
"<matplotlib.figure.Figure at 0x10bae6a90>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
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R+gIAAAAAdEToCwAAAADQEaEvAAAAAEBHhL4AAAAAAB0R+gIAAAAAdEToCwAA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\nAAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x10bb90390>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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CXwAAAACAjsysdQEAME7OOePkNXv37OzmbN26fc3eDwAAQB/s9AUAAAAA6IjQ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\ngurHvcA7wDuSPkrUg7xT0qy2XwPuAXI5eEqd7UoA2y8A2Xix+20HLE1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eNPPtXwCcVlXX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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x10bc62a90>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
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Xtn9ue0Hb89mew/aMtie3PTYp8Ts7sCKwN+kk5nRJO7Qw/DC6n+ZH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\nuFnSeMAsth/s5X0+59tWHqENSPo58A/SOdhBVVqzhCySvh3K9mvAHpL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6StKASLIlcBJN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\nRvPF+NcaFqAAAAAASUVORK5CYII=\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x10bd044e0>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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kpy8AAAAAQEeEvgAAAAAAHRH6AgAAAAB0ROgLAAAAANARoS8AAAAAQEeEvgAA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\nJOkbERERERERERER0SD/DyuKwx8RanbfAAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x10bdb5f60>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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uIM3i/gZY2fbQNocU+ihJ/7D9y17GbAecRkoU/8r2S62ILTSfpKG2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\nBUkPDiLpG0II/Yyk8YFPgY1qDJkcmJo0M2ta0oPG3nQDkfQNobi+BfY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ylwNbdY9XAzYA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\nAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x10be6e208>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
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1Wx4ODGh+9AHA9sCcyP1jnbucC8wPHGP7ksZFFqqx/b6kxYB7gUHA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\nRK5CYII=\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x10bf2a208>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
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AAAAA0BGhLwAAAABAR4S+AAAAAAAdEfoCAAAAAHRE6AsAAAAA0JGZcRcAAAAA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\n2qt5URXXaC9eQqFdAqwv6Qrgi272u9b29S2KKTTWQQCS3MfjO23vO/r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"text/plain": [
"<matplotlib.figure.Figure at 0x10bfe8d68>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
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AAAA64kNuAAAAAPwrPvAH081OXwAAAACAjgh9AQAAAAA6IvQFAAAAAOiI0BcA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\nRFeCBElyOAAAAABJRU5ErkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x10c0af0f0>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# 12球団のグラフを出力\n",
"for team in teams:\n",
" df_team = wraa_df(df, team)\n",
" df_team[['name', 'wraa']].plot.bar(y=['wraa'], ylim=(-20, 30), x=['name'], alpha=1.0, figsize=(24, 8), fontsize=24)\n",
" plt.title(team_names[team], size=16)"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style>\n",
" .dataframe thead tr:only-child th {\n",
" text-align: right;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: left;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>team</th>\n",
" <th>name</th>\n",
" <th>ba</th>\n",
" <th>rbi</th>\n",
" <th>hr</th>\n",
" <th>obp</th>\n",
" <th>slg</th>\n",
" <th>ops</th>\n",
" <th>rc27</th>\n",
" <th>woba</th>\n",
" <th>wraa</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>Bs</td>\n",
" <td>Ｔ－岡田</td>\n",
" <td>0.370</td>\n",
" <td>18</td>\n",
" <td>9</td>\n",
" <td>0.504</td>\n",
" <td>0.707</td>\n",
" <td>1.211</td>\n",
" <td>13.88</td>\n",
" <td>0.509</td>\n",
" <td>16.8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>F</td>\n",
" <td>近藤 健介</td>\n",
" <td>0.400</td>\n",
" <td>19</td>\n",
" <td>2</td>\n",
" <td>0.537</td>\n",
" <td>0.556</td>\n",
" <td>1.093</td>\n",
" <td>13.06</td>\n",
" <td>0.474</td>\n",
" <td>14.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>C</td>\n",
" <td>エルドレッド</td>\n",
" <td>0.337</td>\n",
" <td>22</td>\n",
" <td>6</td>\n",
" <td>0.434</td>\n",
" <td>0.584</td>\n",
" <td>1.018</td>\n",
" <td>8.96</td>\n",
" <td>0.436</td>\n",
" <td>9.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>G</td>\n",
" <td>坂本 勇人</td>\n",
" <td>0.383</td>\n",
" <td>16</td>\n",
" <td>4</td>\n",
" <td>0.434</td>\n",
" <td>0.565</td>\n",
" <td>0.999</td>\n",
" <td>9.68</td>\n",
" <td>0.430</td>\n",
" <td>10.3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>H</td>\n",
" <td>内川 聖一</td>\n",
" <td>0.357</td>\n",
" <td>23</td>\n",
" <td>5</td>\n",
" <td>0.447</td>\n",
" <td>0.545</td>\n",
" <td>0.992</td>\n",
" <td>9.04</td>\n",
" <td>0.428</td>\n",
" <td>10.3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>E</td>\n",
" <td>茂木 栄五郎</td>\n",
" <td>0.309</td>\n",
" <td>18</td>\n",
" <td>6</td>\n",
" <td>0.409</td>\n",
" <td>0.567</td>\n",
" <td>0.976</td>\n",
" <td>8.67</td>\n",
" <td>0.419</td>\n",
" <td>8.4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>E</td>\n",
" <td>ペゲーロ</td>\n",
" <td>0.290</td>\n",
" <td>21</td>\n",
" <td>7</td>\n",
" <td>0.393</td>\n",
" <td>0.580</td>\n",
" <td>0.973</td>\n",
" <td>7.35</td>\n",
" <td>0.417</td>\n",
" <td>8.1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>L</td>\n",
" <td>秋山 翔吾</td>\n",
" <td>0.327</td>\n",
" <td>11</td>\n",
" <td>5</td>\n",
" <td>0.419</td>\n",
" <td>0.536</td>\n",
" <td>0.955</td>\n",
" <td>8.78</td>\n",
" <td>0.412</td>\n",
" <td>8.4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10</th>\n",
" <td>C</td>\n",
" <td>新井 貴浩</td>\n",
" <td>0.314</td>\n",
" <td>19</td>\n",
" <td>5</td>\n",
" <td>0.417</td>\n",
" <td>0.535</td>\n",
" <td>0.952</td>\n",
" <td>7.41</td>\n",
" <td>0.411</td>\n",
" <td>6.6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>13</th>\n",
" <td>H</td>\n",
" <td>上林 誠知</td>\n",
" <td>0.310</td>\n",
" <td>16</td>\n",
" <td>6</td>\n",
" <td>0.341</td>\n",
" <td>0.607</td>\n",
" <td>0.948</td>\n",
" <td>7.46</td>\n",
" <td>0.406</td>\n",
" <td>5.4</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" team name ba rbi hr obp slg ops rc27 woba wraa\n",
"0 Bs Ｔ－岡田 0.370 18 9 0.504 0.707 1.211 13.88 0.509 16.8\n",
"1 F 近藤 健介 0.400 19 2 0.537 0.556 1.093 13.06 0.474 14.0\n",
"4 C エルドレッド 0.337 22 6 0.434 0.584 1.018 8.96 0.436 9.0\n",
"2 G 坂本 勇人 0.383 16 4 0.434 0.565 0.999 9.68 0.430 10.3\n",
"3 H 内川 聖一 0.357 23 5 0.447 0.545 0.992 9.04 0.428 10.3\n",
"6 E 茂木 栄五郎 0.309 18 6 0.409 0.567 0.976 8.67 0.419 8.4\n",
"8 E ペゲーロ 0.290 21 7 0.393 0.580 0.973 7.35 0.417 8.1\n",
"7 L 秋山 翔吾 0.327 11 5 0.419 0.536 0.955 8.78 0.412 8.4\n",
"10 C 新井 貴浩 0.314 19 5 0.417 0.535 0.952 7.41 0.411 6.6\n",
"13 H 上林 誠知 0.310 16 6 0.341 0.607 0.948 7.46 0.406 5.4"
]
},
"execution_count": 16,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# wOBA Ranking(Top 10)\n",
"df.sort_values(by='woba', ascending=False).head(10)\n"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
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"\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>team</th>\n",
" <th>name</th>\n",
" <th>ba</th>\n",
" <th>rbi</th>\n",
" <th>hr</th>\n",
" <th>obp</th>\n",
" <th>slg</th>\n",
" <th>ops</th>\n",
" <th>rc27</th>\n",
" <th>woba</th>\n",
" <th>wraa</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>96</th>\n",
" <td>S</td>\n",
" <td>西浦 直亨</td>\n",
" <td>0.154</td>\n",
" <td>2</td>\n",
" <td>0</td>\n",
" <td>0.244</td>\n",
" <td>0.154</td>\n",
" <td>0.398</td>\n",
" <td>0.99</td>\n",
" <td>0.192</td>\n",
" <td>-5.3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>126</th>\n",
" <td>G</td>\n",
" <td>小林 誠司</td>\n",
" <td>0.165</td>\n",
" <td>4</td>\n",
" <td>0</td>\n",
" <td>0.248</td>\n",
" <td>0.176</td>\n",
" <td>0.423</td>\n",
" <td>0.79</td>\n",
" <td>0.192</td>\n",
" <td>-11.9</td>\n",
" </tr>\n",
" <tr>\n",
" <th>110</th>\n",
" <td>Bs</td>\n",
" <td>若月 健矢</td>\n",
" <td>0.137</td>\n",
" <td>4</td>\n",
" <td>0</td>\n",
" <td>0.185</td>\n",
" <td>0.216</td>\n",
" <td>0.401</td>\n",
" <td>0.29</td>\n",
" <td>0.185</td>\n",
" <td>-7.2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>109</th>\n",
" <td>M</td>\n",
" <td>大嶺 翔太</td>\n",
" <td>0.151</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>0.179</td>\n",
" <td>0.245</td>\n",
" <td>0.424</td>\n",
" <td>0.75</td>\n",
" <td>0.185</td>\n",
" <td>-7.1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>92</th>\n",
" <td>DB</td>\n",
" <td>白崎 浩之</td>\n",
" <td>0.200</td>\n",
" <td>2</td>\n",
" <td>0</td>\n",
" <td>0.200</td>\n",
" <td>0.200</td>\n",
" <td>0.400</td>\n",
" <td>0.71</td>\n",
" <td>0.173</td>\n",
" <td>-4.5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115</th>\n",
" <td>D</td>\n",
" <td>杉山 翔大</td>\n",
" <td>0.091</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0.226</td>\n",
" <td>0.091</td>\n",
" <td>0.317</td>\n",
" <td>0.10</td>\n",
" <td>0.160</td>\n",
" <td>-7.6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>114</th>\n",
" <td>L</td>\n",
" <td>田代 将太郎</td>\n",
" <td>0.082</td>\n",
" <td>4</td>\n",
" <td>1</td>\n",
" <td>0.151</td>\n",
" <td>0.184</td>\n",
" <td>0.335</td>\n",
" <td>-0.21</td>\n",
" <td>0.157</td>\n",
" <td>-7.4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>119</th>\n",
" <td>M</td>\n",
" <td>パラデス</td>\n",
" <td>0.130</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0.172</td>\n",
" <td>0.148</td>\n",
" <td>0.321</td>\n",
" <td>-0.06</td>\n",
" <td>0.149</td>\n",
" <td>-8.5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>117</th>\n",
" <td>M</td>\n",
" <td>伊志嶺 翔大</td>\n",
" <td>0.148</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0.179</td>\n",
" <td>0.148</td>\n",
" <td>0.327</td>\n",
" <td>0.01</td>\n",
" <td>0.148</td>\n",
" <td>-8.4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>113</th>\n",
" <td>F</td>\n",
" <td>岡 大海</td>\n",
" <td>0.122</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0.143</td>\n",
" <td>0.122</td>\n",
" <td>0.265</td>\n",
" <td>-1.56</td>\n",
" <td>0.119</td>\n",
" <td>-7.4</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" team name ba rbi hr obp slg ops rc27 woba wraa\n",
"96 S 西浦 直亨 0.154 2 0 0.244 0.154 0.398 0.99 0.192 -5.3\n",
"126 G 小林 誠司 0.165 4 0 0.248 0.176 0.423 0.79 0.192 -11.9\n",
"110 Bs 若月 健矢 0.137 4 0 0.185 0.216 0.401 0.29 0.185 -7.2\n",
"109 M 大嶺 翔太 0.151 2 1 0.179 0.245 0.424 0.75 0.185 -7.1\n",
"92 DB 白崎 浩之 0.200 2 0 0.200 0.200 0.400 0.71 0.173 -4.5\n",
"115 D 杉山 翔大 0.091 1 0 0.226 0.091 0.317 0.10 0.160 -7.6\n",
"114 L 田代 将太郎 0.082 4 1 0.151 0.184 0.335 -0.21 0.157 -7.4\n",
"119 M パラデス 0.130 1 0 0.172 0.148 0.321 -0.06 0.149 -8.5\n",
"117 M 伊志嶺 翔大 0.148 1 0 0.179 0.148 0.327 0.01 0.148 -8.4\n",
"113 F 岡 大海 0.122 0 0 0.143 0.122 0.265 -1.56 0.119 -7.4"
]
},
"execution_count": 17,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# wOBA Ranking(Worst 10)\n",
"df.sort_values(by='woba', ascending=False).tail(10)\n"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\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>team</th>\n",
" <th>name</th>\n",
" <th>ba</th>\n",
" <th>rbi</th>\n",
" <th>hr</th>\n",
" <th>obp</th>\n",
" <th>slg</th>\n",
" <th>ops</th>\n",
" <th>rc27</th>\n",
" <th>woba</th>\n",
" <th>wraa</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>Bs</td>\n",
" <td>Ｔ－岡田</td>\n",
" <td>0.370</td>\n",
" <td>18</td>\n",
" <td>9</td>\n",
" <td>0.504</td>\n",
" <td>0.707</td>\n",
" <td>1.211</td>\n",
" <td>13.88</td>\n",
" <td>0.509</td>\n",
" <td>16.8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>F</td>\n",
" <td>近藤 健介</td>\n",
" <td>0.400</td>\n",
" <td>19</td>\n",
" <td>2</td>\n",
" <td>0.537</td>\n",
" <td>0.556</td>\n",
" <td>1.093</td>\n",
" <td>13.06</td>\n",
" <td>0.474</td>\n",
" <td>14.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>G</td>\n",
" <td>坂本 勇人</td>\n",
" <td>0.383</td>\n",
" <td>16</td>\n",
" <td>4</td>\n",
" <td>0.434</td>\n",
" <td>0.565</td>\n",
" <td>0.999</td>\n",
" <td>9.68</td>\n",
" <td>0.430</td>\n",
" <td>10.3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>H</td>\n",
" <td>内川 聖一</td>\n",
" <td>0.357</td>\n",
" <td>23</td>\n",
" <td>5</td>\n",
" <td>0.447</td>\n",
" <td>0.545</td>\n",
" <td>0.992</td>\n",
" <td>9.04</td>\n",
" <td>0.428</td>\n",
" <td>10.3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>C</td>\n",
" <td>エルドレッド</td>\n",
" <td>0.337</td>\n",
" <td>22</td>\n",
" <td>6</td>\n",
" <td>0.434</td>\n",
" <td>0.584</td>\n",
" <td>1.018</td>\n",
" <td>8.96</td>\n",
" <td>0.436</td>\n",
" <td>9.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>C</td>\n",
" <td>丸 佳浩</td>\n",
" <td>0.317</td>\n",
" <td>17</td>\n",
" <td>5</td>\n",
" <td>0.432</td>\n",
" <td>0.492</td>\n",
" <td>0.923</td>\n",
" <td>8.51</td>\n",
" <td>0.404</td>\n",
" <td>8.7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>E</td>\n",
" <td>茂木 栄五郎</td>\n",
" <td>0.309</td>\n",
" <td>18</td>\n",
" <td>6</td>\n",
" <td>0.409</td>\n",
" <td>0.567</td>\n",
" <td>0.976</td>\n",
" <td>8.67</td>\n",
" <td>0.419</td>\n",
" <td>8.4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>L</td>\n",
" <td>秋山 翔吾</td>\n",
" <td>0.327</td>\n",
" <td>11</td>\n",
" <td>5</td>\n",
" <td>0.419</td>\n",
" <td>0.536</td>\n",
" <td>0.955</td>\n",
" <td>8.78</td>\n",
" <td>0.412</td>\n",
" <td>8.4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>E</td>\n",
" <td>ペゲーロ</td>\n",
" <td>0.290</td>\n",
" <td>21</td>\n",
" <td>7</td>\n",
" <td>0.393</td>\n",
" <td>0.580</td>\n",
" <td>0.973</td>\n",
" <td>7.35</td>\n",
" <td>0.417</td>\n",
" <td>8.1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>T</td>\n",
" <td>糸井 嘉男</td>\n",
" <td>0.321</td>\n",
" <td>25</td>\n",
" <td>4</td>\n",
" <td>0.443</td>\n",
" <td>0.462</td>\n",
" <td>0.905</td>\n",
" <td>7.65</td>\n",
" <td>0.400</td>\n",
" <td>7.3</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" team name ba rbi hr obp slg ops rc27 woba wraa\n",
"0 Bs Ｔ－岡田 0.370 18 9 0.504 0.707 1.211 13.88 0.509 16.8\n",
"1 F 近藤 健介 0.400 19 2 0.537 0.556 1.093 13.06 0.474 14.0\n",
"2 G 坂本 勇人 0.383 16 4 0.434 0.565 0.999 9.68 0.430 10.3\n",
"3 H 内川 聖一 0.357 23 5 0.447 0.545 0.992 9.04 0.428 10.3\n",
"4 C エルドレッド 0.337 22 6 0.434 0.584 1.018 8.96 0.436 9.0\n",
"5 C 丸 佳浩 0.317 17 5 0.432 0.492 0.923 8.51 0.404 8.7\n",
"6 E 茂木 栄五郎 0.309 18 6 0.409 0.567 0.976 8.67 0.419 8.4\n",
"7 L 秋山 翔吾 0.327 11 5 0.419 0.536 0.955 8.78 0.412 8.4\n",
"8 E ペゲーロ 0.290 21 7 0.393 0.580 0.973 7.35 0.417 8.1\n",
"9 T 糸井 嘉男 0.321 25 4 0.443 0.462 0.905 7.65 0.400 7.3"
]
},
"execution_count": 18,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# wRAA Ranking(Top 10)\n",
"df.sort_values(by='wraa', ascending=False).head(10)\n"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {},
"outputs": [
{
"data": {
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" <th>ops</th>\n",
" <th>rc27</th>\n",
" <th>woba</th>\n",
" <th>wraa</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>117</th>\n",
" <td>M</td>\n",
" <td>伊志嶺 翔大</td>\n",
" <td>0.148</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0.179</td>\n",
" <td>0.148</td>\n",
" <td>0.327</td>\n",
" <td>0.01</td>\n",
" <td>0.148</td>\n",
" <td>-8.4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>118</th>\n",
" <td>G</td>\n",
" <td>立岡 宗一郎</td>\n",
" <td>0.236</td>\n",
" <td>6</td>\n",
" <td>0</td>\n",
" <td>0.277</td>\n",
" <td>0.285</td>\n",
" <td>0.561</td>\n",
" <td>2.43</td>\n",
" <td>0.251</td>\n",
" <td>-8.5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>119</th>\n",
" <td>M</td>\n",
" <td>パラデス</td>\n",
" <td>0.130</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0.172</td>\n",
" <td>0.148</td>\n",
" <td>0.321</td>\n",
" <td>-0.06</td>\n",
" <td>0.149</td>\n",
" <td>-8.5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>120</th>\n",
" <td>E</td>\n",
" <td>ウィーラー</td>\n",
" <td>0.193</td>\n",
" <td>6</td>\n",
" <td>1</td>\n",
" <td>0.264</td>\n",
" <td>0.266</td>\n",
" <td>0.531</td>\n",
" <td>1.93</td>\n",
" <td>0.243</td>\n",
" <td>-8.6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>121</th>\n",
" <td>E</td>\n",
" <td>アマダー</td>\n",
" <td>0.204</td>\n",
" <td>9</td>\n",
" <td>2</td>\n",
" <td>0.239</td>\n",
" <td>0.272</td>\n",
" <td>0.510</td>\n",
" <td>1.40</td>\n",
" <td>0.225</td>\n",
" <td>-9.3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>122</th>\n",
" <td>Bs</td>\n",
" <td>安達 了一</td>\n",
" <td>0.170</td>\n",
" <td>5</td>\n",
" <td>0</td>\n",
" <td>0.291</td>\n",
" <td>0.190</td>\n",
" <td>0.481</td>\n",
" <td>1.58</td>\n",
" <td>0.235</td>\n",
" <td>-9.3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>123</th>\n",
" <td>DB</td>\n",
" <td>倉本 寿彦</td>\n",
" <td>0.208</td>\n",
" <td>5</td>\n",
" <td>0</td>\n",
" <td>0.250</td>\n",
" <td>0.236</td>\n",
" <td>0.486</td>\n",
" <td>1.55</td>\n",
" <td>0.220</td>\n",
" <td>-10.4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>124</th>\n",
" <td>L</td>\n",
" <td>木村 文紀</td>\n",
" <td>0.178</td>\n",
" <td>4</td>\n",
" <td>0</td>\n",
" <td>0.227</td>\n",
" <td>0.200</td>\n",
" <td>0.427</td>\n",
" <td>0.78</td>\n",
" <td>0.194</td>\n",
" <td>-10.9</td>\n",
" </tr>\n",
" <tr>\n",
" <th>125</th>\n",
" <td>F</td>\n",
" <td>中島 卓也</td>\n",
" <td>0.172</td>\n",
" <td>2</td>\n",
" <td>0</td>\n",
" <td>0.230</td>\n",
" <td>0.204</td>\n",
" <td>0.434</td>\n",
" <td>1.31</td>\n",
" <td>0.200</td>\n",
" <td>-11.6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>126</th>\n",
" <td>G</td>\n",
" <td>小林 誠司</td>\n",
" <td>0.165</td>\n",
" <td>4</td>\n",
" <td>0</td>\n",
" <td>0.248</td>\n",
" <td>0.176</td>\n",
" <td>0.423</td>\n",
" <td>0.79</td>\n",
" <td>0.192</td>\n",
" <td>-11.9</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" team name ba rbi hr obp slg ops rc27 woba wraa\n",
"117 M 伊志嶺 翔大 0.148 1 0 0.179 0.148 0.327 0.01 0.148 -8.4\n",
"118 G 立岡 宗一郎 0.236 6 0 0.277 0.285 0.561 2.43 0.251 -8.5\n",
"119 M パラデス 0.130 1 0 0.172 0.148 0.321 -0.06 0.149 -8.5\n",
"120 E ウィーラー 0.193 6 1 0.264 0.266 0.531 1.93 0.243 -8.6\n",
"121 E アマダー 0.204 9 2 0.239 0.272 0.510 1.40 0.225 -9.3\n",
"122 Bs 安達 了一 0.170 5 0 0.291 0.190 0.481 1.58 0.235 -9.3\n",
"123 DB 倉本 寿彦 0.208 5 0 0.250 0.236 0.486 1.55 0.220 -10.4\n",
"124 L 木村 文紀 0.178 4 0 0.227 0.200 0.427 0.78 0.194 -10.9\n",
"125 F 中島 卓也 0.172 2 0 0.230 0.204 0.434 1.31 0.200 -11.6\n",
"126 G 小林 誠司 0.165 4 0 0.248 0.176 0.423 0.79 0.192 -11.9"
]
},
"execution_count": 19,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# wRAA Ranking(Worst 10)\n",
"df.sort_values(by='wraa', ascending=False).tail(10)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"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": "3.6.1"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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