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Shinichi-Nakagawa/tokyu_rb_lt_baseball_python.ipynb

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Jupyter + pandasを使って野球データをサクッと分析(いつものやつ)
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tokyu_rb_lt_baseball_python.ipynb
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"rm: /Users/shinyorke_mbp/.matplotlib/fontList.cache: No such file or directory\r\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"/Users/shinyorke_mbp/python_venv/tokyu/lib/python3.6/site-packages/matplotlib/font_manager.py:280: UserWarning: Matplotlib is building the font cache using fc-list. This may take a moment.\n",
" 'Matplotlib is building the font cache using fc-list. '\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": [
"# SQLコネクションを作る\n",
"import pymysql\n",
"import os\n"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"connection = pymysql.connect(\n",
" host=os.environ.get('BASEBALL_DB_HOST'),\n",
" user=os.environ.get('BASEBALL_DB_USER'),\n",
" password=os.environ.get('BASEBALL_DB_PASSWORD'),\n",
" db=os.environ.get('BASEBALL_DB_DATABASE'),\n",
" charset=os.environ.get('BASEBALL_DB_ENCODING'),\n",
" cursorclass=pymysql.cursors.DictCursor)"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"# クエリを書く(今回唯一登場するSQL)\n",
"query = \"select date, name, team, salary, games, pa, ab, r, h as 'H', 2b as '2B', 3b as '3B', hr as 'HR', rbi as 'RBI', ba as 'AVG', babip as 'BABIP', slg as 'SLG', obp as 'OBP', ops as 'OPS', woba as 'wOBA', wraa as 'wRAA' from player_batting where date='2017-07-21 ' and pa > 80 * 3.1 order by date desc, AVG desc;\""
]
},
{
"cell_type": "code",
"execution_count": 8,
"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(query, con=connection)"
]
},
{
"cell_type": "code",
"execution_count": 9,
"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>date</th>\n",
" <th>name</th>\n",
" <th>team</th>\n",
" <th>salary</th>\n",
" <th>games</th>\n",
" <th>pa</th>\n",
" <th>ab</th>\n",
" <th>r</th>\n",
" <th>H</th>\n",
" <th>2B</th>\n",
" <th>3B</th>\n",
" <th>HR</th>\n",
" <th>RBI</th>\n",
" <th>AVG</th>\n",
" <th>BABIP</th>\n",
" <th>SLG</th>\n",
" <th>OBP</th>\n",
" <th>OPS</th>\n",
" <th>wOBA</th>\n",
" <th>wRAA</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>2017-07-21</td>\n",
" <td>宮﨑 敏郎</td>\n",
" <td>DB</td>\n",
" <td>3000</td>\n",
" <td>72</td>\n",
" <td>293</td>\n",
" <td>267</td>\n",
" <td>28</td>\n",
" <td>93</td>\n",
" <td>16</td>\n",
" <td>1</td>\n",
" <td>8</td>\n",
" <td>38</td>\n",
" <td>0.348</td>\n",
" <td>0.366</td>\n",
" <td>0.506</td>\n",
" <td>0.406</td>\n",
" <td>0.912</td>\n",
" <td>0.397</td>\n",
" <td>18.2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>2017-07-21</td>\n",
" <td>柳田 悠岐</td>\n",
" <td>H</td>\n",
" <td>26000</td>\n",
" <td>84</td>\n",
" <td>364</td>\n",
" <td>288</td>\n",
" <td>66</td>\n",
" <td>94</td>\n",
" <td>20</td>\n",
" <td>0</td>\n",
" <td>23</td>\n",
" <td>75</td>\n",
" <td>0.326</td>\n",
" <td>0.372</td>\n",
" <td>0.635</td>\n",
" <td>0.451</td>\n",
" <td>1.086</td>\n",
" <td>0.457</td>\n",
" <td>40.2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>2017-07-21</td>\n",
" <td>坂本 勇人</td>\n",
" <td>G</td>\n",
" <td>35000</td>\n",
" <td>85</td>\n",
" <td>366</td>\n",
" <td>323</td>\n",
" <td>52</td>\n",
" <td>105</td>\n",
" <td>22</td>\n",
" <td>0</td>\n",
" <td>10</td>\n",
" <td>46</td>\n",
" <td>0.325</td>\n",
" <td>0.360</td>\n",
" <td>0.486</td>\n",
" <td>0.399</td>\n",
" <td>0.885</td>\n",
" <td>0.386</td>\n",
" <td>19.5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>2017-07-21</td>\n",
" <td>大島 洋平</td>\n",
" <td>D</td>\n",
" <td>15000</td>\n",
" <td>87</td>\n",
" <td>381</td>\n",
" <td>348</td>\n",
" <td>37</td>\n",
" <td>113</td>\n",
" <td>18</td>\n",
" <td>2</td>\n",
" <td>2</td>\n",
" <td>25</td>\n",
" <td>0.325</td>\n",
" <td>0.366</td>\n",
" <td>0.405</td>\n",
" <td>0.374</td>\n",
" <td>0.779</td>\n",
" <td>0.343</td>\n",
" <td>7.1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>2017-07-21</td>\n",
" <td>銀次</td>\n",
" <td>E</td>\n",
" <td>7600</td>\n",
" <td>79</td>\n",
" <td>331</td>\n",
" <td>294</td>\n",
" <td>40</td>\n",
" <td>94</td>\n",
" <td>16</td>\n",
" <td>0</td>\n",
" <td>2</td>\n",
" <td>32</td>\n",
" <td>0.320</td>\n",
" <td>0.364</td>\n",
" <td>0.395</td>\n",
" <td>0.393</td>\n",
" <td>0.787</td>\n",
" <td>0.350</td>\n",
" <td>8.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>2017-07-21</td>\n",
" <td>丸 佳浩</td>\n",
" <td>C</td>\n",
" <td>14000</td>\n",
" <td>87</td>\n",
" <td>400</td>\n",
" <td>341</td>\n",
" <td>65</td>\n",
" <td>109</td>\n",
" <td>23</td>\n",
" <td>3</td>\n",
" <td>16</td>\n",
" <td>60</td>\n",
" <td>0.320</td>\n",
" <td>0.358</td>\n",
" <td>0.545</td>\n",
" <td>0.409</td>\n",
" <td>0.954</td>\n",
" <td>0.412</td>\n",
" <td>29.7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>2017-07-21</td>\n",
" <td>茂木 栄五郎</td>\n",
" <td>E</td>\n",
" <td>3200</td>\n",
" <td>57</td>\n",
" <td>257</td>\n",
" <td>226</td>\n",
" <td>44</td>\n",
" <td>72</td>\n",
" <td>16</td>\n",
" <td>1</td>\n",
" <td>12</td>\n",
" <td>37</td>\n",
" <td>0.319</td>\n",
" <td>0.353</td>\n",
" <td>0.558</td>\n",
" <td>0.390</td>\n",
" <td>0.947</td>\n",
" <td>0.409</td>\n",
" <td>18.4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>2017-07-21</td>\n",
" <td>秋山 翔吾</td>\n",
" <td>L</td>\n",
" <td>20000</td>\n",
" <td>83</td>\n",
" <td>386</td>\n",
" <td>329</td>\n",
" <td>66</td>\n",
" <td>105</td>\n",
" <td>17</td>\n",
" <td>2</td>\n",
" <td>17</td>\n",
" <td>50</td>\n",
" <td>0.319</td>\n",
" <td>0.342</td>\n",
" <td>0.538</td>\n",
" <td>0.417</td>\n",
" <td>0.955</td>\n",
" <td>0.413</td>\n",
" <td>28.9</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>2017-07-21</td>\n",
" <td>ロペス</td>\n",
" <td>DB</td>\n",
" <td>23000</td>\n",
" <td>86</td>\n",
" <td>369</td>\n",
" <td>349</td>\n",
" <td>46</td>\n",
" <td>110</td>\n",
" <td>28</td>\n",
" <td>0</td>\n",
" <td>19</td>\n",
" <td>69</td>\n",
" <td>0.315</td>\n",
" <td>0.320</td>\n",
" <td>0.559</td>\n",
" <td>0.339</td>\n",
" <td>0.897</td>\n",
" <td>0.384</td>\n",
" <td>19.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>2017-07-21</td>\n",
" <td>マギー</td>\n",
" <td>G</td>\n",
" <td>19300</td>\n",
" <td>82</td>\n",
" <td>336</td>\n",
" <td>301</td>\n",
" <td>33</td>\n",
" <td>94</td>\n",
" <td>32</td>\n",
" <td>1</td>\n",
" <td>9</td>\n",
" <td>44</td>\n",
" <td>0.312</td>\n",
" <td>0.371</td>\n",
" <td>0.515</td>\n",
" <td>0.378</td>\n",
" <td>0.893</td>\n",
" <td>0.386</td>\n",
" <td>17.9</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10</th>\n",
" <td>2017-07-21</td>\n",
" <td>浅村 栄斗</td>\n",
" <td>L</td>\n",
" <td>15500</td>\n",
" <td>83</td>\n",
" <td>371</td>\n",
" <td>341</td>\n",
" <td>44</td>\n",
" <td>106</td>\n",
" <td>21</td>\n",
" <td>1</td>\n",
" <td>10</td>\n",
" <td>62</td>\n",
" <td>0.311</td>\n",
" <td>0.330</td>\n",
" <td>0.466</td>\n",
" <td>0.357</td>\n",
" <td>0.823</td>\n",
" <td>0.358</td>\n",
" <td>11.4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11</th>\n",
" <td>2017-07-21</td>\n",
" <td>鈴木 誠也</td>\n",
" <td>C</td>\n",
" <td>6000</td>\n",
" <td>87</td>\n",
" <td>389</td>\n",
" <td>336</td>\n",
" <td>62</td>\n",
" <td>103</td>\n",
" <td>24</td>\n",
" <td>1</td>\n",
" <td>17</td>\n",
" <td>67</td>\n",
" <td>0.307</td>\n",
" <td>0.327</td>\n",
" <td>0.536</td>\n",
" <td>0.386</td>\n",
" <td>0.921</td>\n",
" <td>0.397</td>\n",
" <td>24.2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>12</th>\n",
" <td>2017-07-21</td>\n",
" <td>雄平</td>\n",
" <td>S</td>\n",
" <td>7000</td>\n",
" <td>70</td>\n",
" <td>295</td>\n",
" <td>277</td>\n",
" <td>29</td>\n",
" <td>85</td>\n",
" <td>21</td>\n",
" <td>0</td>\n",
" <td>2</td>\n",
" <td>32</td>\n",
" <td>0.307</td>\n",
" <td>0.353</td>\n",
" <td>0.404</td>\n",
" <td>0.342</td>\n",
" <td>0.747</td>\n",
" <td>0.329</td>\n",
" <td>2.1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>13</th>\n",
" <td>2017-07-21</td>\n",
" <td>ペゲーロ</td>\n",
" <td>E</td>\n",
" <td>8500</td>\n",
" <td>79</td>\n",
" <td>352</td>\n",
" <td>314</td>\n",
" <td>47</td>\n",
" <td>96</td>\n",
" <td>13</td>\n",
" <td>0</td>\n",
" <td>21</td>\n",
" <td>62</td>\n",
" <td>0.306</td>\n",
" <td>0.371</td>\n",
" <td>0.548</td>\n",
" <td>0.381</td>\n",
" <td>0.928</td>\n",
" <td>0.397</td>\n",
" <td>21.9</td>\n",
" </tr>\n",
" <tr>\n",
" <th>14</th>\n",
" <td>2017-07-21</td>\n",
" <td>西川 遥輝</td>\n",
" <td>F</td>\n",
" <td>10000</td>\n",
" <td>86</td>\n",
" <td>386</td>\n",
" <td>332</td>\n",
" <td>54</td>\n",
" <td>101</td>\n",
" <td>16</td>\n",
" <td>1</td>\n",
" <td>5</td>\n",
" <td>24</td>\n",
" <td>0.304</td>\n",
" <td>0.376</td>\n",
" <td>0.404</td>\n",
" <td>0.386</td>\n",
" <td>0.789</td>\n",
" <td>0.351</td>\n",
" <td>9.6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>15</th>\n",
" <td>2017-07-21</td>\n",
" <td>安部 友裕</td>\n",
" <td>C</td>\n",
" <td>2100</td>\n",
" <td>80</td>\n",
" <td>287</td>\n",
" <td>261</td>\n",
" <td>43</td>\n",
" <td>79</td>\n",
" <td>10</td>\n",
" <td>3</td>\n",
" <td>1</td>\n",
" <td>29</td>\n",
" <td>0.303</td>\n",
" <td>0.384</td>\n",
" <td>0.375</td>\n",
" <td>0.349</td>\n",
" <td>0.724</td>\n",
" <td>0.320</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>16</th>\n",
" <td>2017-07-21</td>\n",
" <td>田中 広輔</td>\n",
" <td>C</td>\n",
" <td>7800</td>\n",
" <td>87</td>\n",
" <td>419</td>\n",
" <td>357</td>\n",
" <td>63</td>\n",
" <td>106</td>\n",
" <td>20</td>\n",
" <td>5</td>\n",
" <td>3</td>\n",
" <td>40</td>\n",
" <td>0.297</td>\n",
" <td>0.365</td>\n",
" <td>0.406</td>\n",
" <td>0.389</td>\n",
" <td>0.796</td>\n",
" <td>0.355</td>\n",
" <td>11.8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>17</th>\n",
" <td>2017-07-21</td>\n",
" <td>鳥谷 敬</td>\n",
" <td>T</td>\n",
" <td>40000</td>\n",
" <td>83</td>\n",
" <td>327</td>\n",
" <td>277</td>\n",
" <td>32</td>\n",
" <td>82</td>\n",
" <td>10</td>\n",
" <td>1</td>\n",
" <td>2</td>\n",
" <td>27</td>\n",
" <td>0.296</td>\n",
" <td>0.332</td>\n",
" <td>0.361</td>\n",
" <td>0.396</td>\n",
" <td>0.757</td>\n",
" <td>0.340</td>\n",
" <td>5.3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>18</th>\n",
" <td>2017-07-21</td>\n",
" <td>内川 聖一</td>\n",
" <td>H</td>\n",
" <td>35000</td>\n",
" <td>67</td>\n",
" <td>278</td>\n",
" <td>245</td>\n",
" <td>31</td>\n",
" <td>72</td>\n",
" <td>13</td>\n",
" <td>0</td>\n",
" <td>12</td>\n",
" <td>48</td>\n",
" <td>0.294</td>\n",
" <td>0.284</td>\n",
" <td>0.494</td>\n",
" <td>0.371</td>\n",
" <td>0.864</td>\n",
" <td>0.375</td>\n",
" <td>12.3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>19</th>\n",
" <td>2017-07-21</td>\n",
" <td>桑原 将志</td>\n",
" <td>DB</td>\n",
" <td>4000</td>\n",
" <td>86</td>\n",
" <td>400</td>\n",
" <td>353</td>\n",
" <td>57</td>\n",
" <td>103</td>\n",
" <td>23</td>\n",
" <td>4</td>\n",
" <td>9</td>\n",
" <td>31</td>\n",
" <td>0.292</td>\n",
" <td>0.337</td>\n",
" <td>0.456</td>\n",
" <td>0.370</td>\n",
" <td>0.826</td>\n",
" <td>0.365</td>\n",
" <td>14.5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>20</th>\n",
" <td>2017-07-21</td>\n",
" <td>上本 博紀</td>\n",
" <td>T</td>\n",
" <td>3300</td>\n",
" <td>75</td>\n",
" <td>299</td>\n",
" <td>253</td>\n",
" <td>35</td>\n",
" <td>74</td>\n",
" <td>13</td>\n",
" <td>0</td>\n",
" <td>5</td>\n",
" <td>23</td>\n",
" <td>0.292</td>\n",
" <td>0.324</td>\n",
" <td>0.403</td>\n",
" <td>0.373</td>\n",
" <td>0.776</td>\n",
" <td>0.345</td>\n",
" <td>6.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>21</th>\n",
" <td>2017-07-21</td>\n",
" <td>上林 誠知</td>\n",
" <td>H</td>\n",
" <td>800</td>\n",
" <td>82</td>\n",
" <td>284</td>\n",
" <td>264</td>\n",
" <td>38</td>\n",
" <td>76</td>\n",
" <td>16</td>\n",
" <td>2</td>\n",
" <td>9</td>\n",
" <td>31</td>\n",
" <td>0.288</td>\n",
" <td>0.327</td>\n",
" <td>0.466</td>\n",
" <td>0.324</td>\n",
" <td>0.790</td>\n",
" <td>0.340</td>\n",
" <td>4.6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>22</th>\n",
" <td>2017-07-21</td>\n",
" <td>小谷野 栄一</td>\n",
" <td>Bs</td>\n",
" <td>7000</td>\n",
" <td>80</td>\n",
" <td>321</td>\n",
" <td>300</td>\n",
" <td>25</td>\n",
" <td>86</td>\n",
" <td>6</td>\n",
" <td>1</td>\n",
" <td>4</td>\n",
" <td>30</td>\n",
" <td>0.287</td>\n",
" <td>0.318</td>\n",
" <td>0.353</td>\n",
" <td>0.326</td>\n",
" <td>0.679</td>\n",
" <td>0.299</td>\n",
" <td>-5.4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>23</th>\n",
" <td>2017-07-21</td>\n",
" <td>エルドレッド</td>\n",
" <td>C</td>\n",
" <td>11000</td>\n",
" <td>79</td>\n",
" <td>293</td>\n",
" <td>251</td>\n",
" <td>32</td>\n",
" <td>72</td>\n",
" <td>7</td>\n",
" <td>0</td>\n",
" <td>21</td>\n",
" <td>61</td>\n",
" <td>0.287</td>\n",
" <td>0.321</td>\n",
" <td>0.566</td>\n",
" <td>0.379</td>\n",
" <td>0.945</td>\n",
" <td>0.402</td>\n",
" <td>19.4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>24</th>\n",
" <td>2017-07-21</td>\n",
" <td>ウィーラー</td>\n",
" <td>E</td>\n",
" <td>10000</td>\n",
" <td>79</td>\n",
" <td>351</td>\n",
" <td>317</td>\n",
" <td>52</td>\n",
" <td>91</td>\n",
" <td>16</td>\n",
" <td>0</td>\n",
" <td>21</td>\n",
" <td>54</td>\n",
" <td>0.287</td>\n",
" <td>0.286</td>\n",
" <td>0.536</td>\n",
" <td>0.353</td>\n",
" <td>0.890</td>\n",
" <td>0.382</td>\n",
" <td>17.6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>25</th>\n",
" <td>2017-07-21</td>\n",
" <td>ゲレーロ</td>\n",
" <td>D</td>\n",
" <td>15000</td>\n",
" <td>85</td>\n",
" <td>336</td>\n",
" <td>307</td>\n",
" <td>42</td>\n",
" <td>88</td>\n",
" <td>13</td>\n",
" <td>3</td>\n",
" <td>26</td>\n",
" <td>58</td>\n",
" <td>0.287</td>\n",
" <td>0.291</td>\n",
" <td>0.603</td>\n",
" <td>0.342</td>\n",
" <td>0.945</td>\n",
" <td>0.402</td>\n",
" <td>22.2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>26</th>\n",
" <td>2017-07-21</td>\n",
" <td>京田 陽太</td>\n",
" <td>D</td>\n",
" <td>1200</td>\n",
" <td>86</td>\n",
" <td>350</td>\n",
" <td>325</td>\n",
" <td>44</td>\n",
" <td>93</td>\n",
" <td>11</td>\n",
" <td>5</td>\n",
" <td>1</td>\n",
" <td>17</td>\n",
" <td>0.286</td>\n",
" <td>0.346</td>\n",
" <td>0.360</td>\n",
" <td>0.317</td>\n",
" <td>0.677</td>\n",
" <td>0.298</td>\n",
" <td>-6.2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>27</th>\n",
" <td>2017-07-21</td>\n",
" <td>Ｔ－岡田</td>\n",
" <td>Bs</td>\n",
" <td>10000</td>\n",
" <td>83</td>\n",
" <td>347</td>\n",
" <td>291</td>\n",
" <td>46</td>\n",
" <td>83</td>\n",
" <td>11</td>\n",
" <td>0</td>\n",
" <td>18</td>\n",
" <td>37</td>\n",
" <td>0.285</td>\n",
" <td>0.342</td>\n",
" <td>0.509</td>\n",
" <td>0.401</td>\n",
" <td>0.909</td>\n",
" <td>0.395</td>\n",
" <td>21.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>28</th>\n",
" <td>2017-07-21</td>\n",
" <td>島内 宏明</td>\n",
" <td>E</td>\n",
" <td>3300</td>\n",
" <td>79</td>\n",
" <td>333</td>\n",
" <td>285</td>\n",
" <td>41</td>\n",
" <td>81</td>\n",
" <td>9</td>\n",
" <td>3</td>\n",
" <td>8</td>\n",
" <td>31</td>\n",
" <td>0.284</td>\n",
" <td>0.293</td>\n",
" <td>0.421</td>\n",
" <td>0.372</td>\n",
" <td>0.793</td>\n",
" <td>0.350</td>\n",
" <td>8.1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>29</th>\n",
" <td>2017-07-21</td>\n",
" <td>バレンティン</td>\n",
" <td>S</td>\n",
" <td>33000</td>\n",
" <td>69</td>\n",
" <td>283</td>\n",
" <td>245</td>\n",
" <td>31</td>\n",
" <td>69</td>\n",
" <td>8</td>\n",
" <td>1</td>\n",
" <td>14</td>\n",
" <td>34</td>\n",
" <td>0.282</td>\n",
" <td>0.320</td>\n",
" <td>0.494</td>\n",
" <td>0.378</td>\n",
" <td>0.872</td>\n",
" <td>0.380</td>\n",
" <td>13.7</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",
" <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>32</th>\n",
" <td>2017-07-21</td>\n",
" <td>今宮 健太</td>\n",
" <td>H</td>\n",
" <td>14500</td>\n",
" <td>85</td>\n",
" <td>373</td>\n",
" <td>311</td>\n",
" <td>52</td>\n",
" <td>86</td>\n",
" <td>17</td>\n",
" <td>2</td>\n",
" <td>5</td>\n",
" <td>31</td>\n",
" <td>0.277</td>\n",
" <td>0.306</td>\n",
" <td>0.392</td>\n",
" <td>0.337</td>\n",
" <td>0.730</td>\n",
" <td>0.323</td>\n",
" <td>0.9</td>\n",
" </tr>\n",
" <tr>\n",
" <th>33</th>\n",
" <td>2017-07-21</td>\n",
" <td>中島 宏之</td>\n",
" <td>Bs</td>\n",
" <td>35000</td>\n",
" <td>73</td>\n",
" <td>295</td>\n",
" <td>263</td>\n",
" <td>15</td>\n",
" <td>72</td>\n",
" <td>12</td>\n",
" <td>0</td>\n",
" <td>4</td>\n",
" <td>26</td>\n",
" <td>0.274</td>\n",
" <td>0.324</td>\n",
" <td>0.365</td>\n",
" <td>0.346</td>\n",
" <td>0.711</td>\n",
" <td>0.317</td>\n",
" <td>-0.7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>34</th>\n",
" <td>2017-07-21</td>\n",
" <td>筒香 嘉智</td>\n",
" <td>DB</td>\n",
" <td>30000</td>\n",
" <td>82</td>\n",
" <td>354</td>\n",
" <td>292</td>\n",
" <td>47</td>\n",
" <td>79</td>\n",
" <td>18</td>\n",
" <td>0</td>\n",
" <td>13</td>\n",
" <td>52</td>\n",
" <td>0.271</td>\n",
" <td>0.307</td>\n",
" <td>0.466</td>\n",
" <td>0.390</td>\n",
" <td>0.856</td>\n",
" <td>0.374</td>\n",
" <td>15.4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>35</th>\n",
" <td>2017-07-21</td>\n",
" <td>長野 久義</td>\n",
" <td>G</td>\n",
" <td>22500</td>\n",
" <td>79</td>\n",
" <td>306</td>\n",
" <td>278</td>\n",
" <td>32</td>\n",
" <td>75</td>\n",
" <td>13</td>\n",
" <td>2</td>\n",
" <td>9</td>\n",
" <td>21</td>\n",
" <td>0.270</td>\n",
" <td>0.313</td>\n",
" <td>0.428</td>\n",
" <td>0.331</td>\n",
" <td>0.759</td>\n",
" <td>0.331</td>\n",
" <td>2.7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>36</th>\n",
" <td>2017-07-21</td>\n",
" <td>デスパイネ</td>\n",
" <td>H</td>\n",
" <td>40000</td>\n",
" <td>81</td>\n",
" <td>324</td>\n",
" <td>282</td>\n",
" <td>41</td>\n",
" <td>76</td>\n",
" <td>10</td>\n",
" <td>0</td>\n",
" <td>22</td>\n",
" <td>61</td>\n",
" <td>0.270</td>\n",
" <td>0.284</td>\n",
" <td>0.539</td>\n",
" <td>0.358</td>\n",
" <td>0.897</td>\n",
" <td>0.385</td>\n",
" <td>17.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>37</th>\n",
" <td>2017-07-21</td>\n",
" <td>糸井 嘉男</td>\n",
" <td>T</td>\n",
" <td>28000</td>\n",
" <td>76</td>\n",
" <td>321</td>\n",
" <td>272</td>\n",
" <td>37</td>\n",
" <td>73</td>\n",
" <td>6</td>\n",
" <td>0</td>\n",
" <td>8</td>\n",
" <td>42</td>\n",
" <td>0.268</td>\n",
" <td>0.295</td>\n",
" <td>0.379</td>\n",
" <td>0.374</td>\n",
" <td>0.753</td>\n",
" <td>0.337</td>\n",
" <td>4.4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>38</th>\n",
" <td>2017-07-21</td>\n",
" <td>中村 晃</td>\n",
" <td>H</td>\n",
" <td>15000</td>\n",
" <td>87</td>\n",
" <td>366</td>\n",
" <td>313</td>\n",
" <td>35</td>\n",
" <td>84</td>\n",
" <td>9</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>18</td>\n",
" <td>0.268</td>\n",
" <td>0.292</td>\n",
" <td>0.319</td>\n",
" <td>0.347</td>\n",
" <td>0.667</td>\n",
" <td>0.301</td>\n",
" <td>-5.6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>39</th>\n",
" <td>2017-07-21</td>\n",
" <td>坂口 智隆</td>\n",
" <td>S</td>\n",
" <td>7000</td>\n",
" <td>79</td>\n",
" <td>355</td>\n",
" <td>311</td>\n",
" <td>29</td>\n",
" <td>83</td>\n",
" <td>9</td>\n",
" <td>2</td>\n",
" <td>3</td>\n",
" <td>24</td>\n",
" <td>0.267</td>\n",
" <td>0.304</td>\n",
" <td>0.338</td>\n",
" <td>0.346</td>\n",
" <td>0.683</td>\n",
" <td>0.307</td>\n",
" <td>-3.7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>40</th>\n",
" <td>2017-07-21</td>\n",
" <td>松田 宣浩</td>\n",
" <td>H</td>\n",
" <td>40000</td>\n",
" <td>87</td>\n",
" <td>350</td>\n",
" <td>322</td>\n",
" <td>37</td>\n",
" <td>86</td>\n",
" <td>12</td>\n",
" <td>3</td>\n",
" <td>15</td>\n",
" <td>45</td>\n",
" <td>0.267</td>\n",
" <td>0.293</td>\n",
" <td>0.463</td>\n",
" <td>0.323</td>\n",
" <td>0.786</td>\n",
" <td>0.339</td>\n",
" <td>5.4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>41</th>\n",
" <td>2017-07-21</td>\n",
" <td>髙山 俊</td>\n",
" <td>T</td>\n",
" <td>4000</td>\n",
" <td>79</td>\n",
" <td>305</td>\n",
" <td>281</td>\n",
" <td>33</td>\n",
" <td>74</td>\n",
" <td>13</td>\n",
" <td>2</td>\n",
" <td>5</td>\n",
" <td>20</td>\n",
" <td>0.263</td>\n",
" <td>0.324</td>\n",
" <td>0.377</td>\n",
" <td>0.318</td>\n",
" <td>0.695</td>\n",
" <td>0.308</td>\n",
" <td>-3.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>42</th>\n",
" <td>2017-07-21</td>\n",
" <td>源田 壮亮</td>\n",
" <td>L</td>\n",
" <td>1200</td>\n",
" <td>83</td>\n",
" <td>378</td>\n",
" <td>335</td>\n",
" <td>54</td>\n",
" <td>88</td>\n",
" <td>8</td>\n",
" <td>5</td>\n",
" <td>3</td>\n",
" <td>27</td>\n",
" <td>0.263</td>\n",
" <td>0.307</td>\n",
" <td>0.343</td>\n",
" <td>0.322</td>\n",
" <td>0.666</td>\n",
" <td>0.297</td>\n",
" <td>-7.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>43</th>\n",
" <td>2017-07-21</td>\n",
" <td>鈴木 大地</td>\n",
" <td>M</td>\n",
" <td>10000</td>\n",
" <td>84</td>\n",
" <td>345</td>\n",
" <td>298</td>\n",
" <td>35</td>\n",
" <td>77</td>\n",
" <td>16</td>\n",
" <td>2</td>\n",
" <td>8</td>\n",
" <td>36</td>\n",
" <td>0.258</td>\n",
" <td>0.284</td>\n",
" <td>0.406</td>\n",
" <td>0.347</td>\n",
" <td>0.753</td>\n",
" <td>0.335</td>\n",
" <td>4.2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>44</th>\n",
" <td>2017-07-21</td>\n",
" <td>梶谷 隆幸</td>\n",
" <td>DB</td>\n",
" <td>9300</td>\n",
" <td>80</td>\n",
" <td>352</td>\n",
" <td>322</td>\n",
" <td>52</td>\n",
" <td>83</td>\n",
" <td>21</td>\n",
" <td>1</td>\n",
" <td>12</td>\n",
" <td>41</td>\n",
" <td>0.258</td>\n",
" <td>0.330</td>\n",
" <td>0.441</td>\n",
" <td>0.318</td>\n",
" <td>0.759</td>\n",
" <td>0.331</td>\n",
" <td>3.1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>45</th>\n",
" <td>2017-07-21</td>\n",
" <td>福留 孝介</td>\n",
" <td>T</td>\n",
" <td>23000</td>\n",
" <td>79</td>\n",
" <td>325</td>\n",
" <td>276</td>\n",
" <td>38</td>\n",
" <td>71</td>\n",
" <td>10</td>\n",
" <td>1</td>\n",
" <td>8</td>\n",
" <td>37</td>\n",
" <td>0.257</td>\n",
" <td>0.299</td>\n",
" <td>0.388</td>\n",
" <td>0.364</td>\n",
" <td>0.752</td>\n",
" <td>0.337</td>\n",
" <td>4.5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>46</th>\n",
" <td>2017-07-21</td>\n",
" <td>メヒア</td>\n",
" <td>L</td>\n",
" <td>50000</td>\n",
" <td>83</td>\n",
" <td>323</td>\n",
" <td>283</td>\n",
" <td>30</td>\n",
" <td>72</td>\n",
" <td>16</td>\n",
" <td>0</td>\n",
" <td>15</td>\n",
" <td>47</td>\n",
" <td>0.254</td>\n",
" <td>0.308</td>\n",
" <td>0.470</td>\n",
" <td>0.341</td>\n",
" <td>0.811</td>\n",
" <td>0.354</td>\n",
" <td>8.9</td>\n",
" </tr>\n",
" <tr>\n",
" <th>47</th>\n",
" <td>2017-07-21</td>\n",
" <td>中村 悠平</td>\n",
" <td>S</td>\n",
" <td>5100</td>\n",
" <td>72</td>\n",
" <td>284</td>\n",
" <td>241</td>\n",
" <td>22</td>\n",
" <td>61</td>\n",
" <td>9</td>\n",
" <td>3</td>\n",
" <td>0</td>\n",
" <td>18</td>\n",
" <td>0.253</td>\n",
" <td>0.296</td>\n",
" <td>0.315</td>\n",
" <td>0.347</td>\n",
" <td>0.662</td>\n",
" <td>0.304</td>\n",
" <td>-3.7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>48</th>\n",
" <td>2017-07-21</td>\n",
" <td>田中 賢介</td>\n",
" <td>F</td>\n",
" <td>20000</td>\n",
" <td>73</td>\n",
" <td>268</td>\n",
" <td>239</td>\n",
" <td>18</td>\n",
" <td>60</td>\n",
" <td>3</td>\n",
" <td>1</td>\n",
" <td>2</td>\n",
" <td>13</td>\n",
" <td>0.251</td>\n",
" <td>0.276</td>\n",
" <td>0.297</td>\n",
" <td>0.332</td>\n",
" <td>0.629</td>\n",
" <td>0.284</td>\n",
" <td>-7.8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>49</th>\n",
" <td>2017-07-21</td>\n",
" <td>阿部 慎之助</td>\n",
" <td>G</td>\n",
" <td>26000</td>\n",
" <td>74</td>\n",
" <td>282</td>\n",
" <td>253</td>\n",
" <td>21</td>\n",
" <td>63</td>\n",
" <td>6</td>\n",
" <td>0</td>\n",
" <td>10</td>\n",
" <td>42</td>\n",
" <td>0.249</td>\n",
" <td>0.260</td>\n",
" <td>0.391</td>\n",
" <td>0.312</td>\n",
" <td>0.703</td>\n",
" <td>0.306</td>\n",
" <td>-3.2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>50</th>\n",
" <td>2017-07-21</td>\n",
" <td>倉本 寿彦</td>\n",
" <td>DB</td>\n",
" <td>4300</td>\n",
" <td>86</td>\n",
" <td>326</td>\n",
" <td>303</td>\n",
" <td>30</td>\n",
" <td>75</td>\n",
" <td>12</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>22</td>\n",
" <td>0.248</td>\n",
" <td>0.298</td>\n",
" <td>0.297</td>\n",
" <td>0.283</td>\n",
" <td>0.580</td>\n",
" <td>0.258</td>\n",
" <td>-16.3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>51</th>\n",
" <td>2017-07-21</td>\n",
" <td>平田 良介</td>\n",
" <td>D</td>\n",
" <td>12000</td>\n",
" <td>66</td>\n",
" <td>270</td>\n",
" <td>238</td>\n",
" <td>26</td>\n",
" <td>58</td>\n",
" <td>14</td>\n",
" <td>2</td>\n",
" <td>6</td>\n",
" <td>29</td>\n",
" <td>0.244</td>\n",
" <td>0.299</td>\n",
" <td>0.395</td>\n",
" <td>0.326</td>\n",
" <td>0.721</td>\n",
" <td>0.320</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>52</th>\n",
" <td>2017-07-21</td>\n",
" <td>ビシエド</td>\n",
" <td>D</td>\n",
" <td>17000</td>\n",
" <td>68</td>\n",
" <td>284</td>\n",
" <td>259</td>\n",
" <td>30</td>\n",
" <td>62</td>\n",
" <td>8</td>\n",
" <td>0</td>\n",
" <td>14</td>\n",
" <td>42</td>\n",
" <td>0.239</td>\n",
" <td>0.239</td>\n",
" <td>0.432</td>\n",
" <td>0.303</td>\n",
" <td>0.735</td>\n",
" <td>0.320</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>53</th>\n",
" <td>2017-07-21</td>\n",
" <td>レアード</td>\n",
" <td>F</td>\n",
" <td>30000</td>\n",
" <td>86</td>\n",
" <td>354</td>\n",
" <td>311</td>\n",
" <td>35</td>\n",
" <td>73</td>\n",
" <td>11</td>\n",
" <td>0</td>\n",
" <td>22</td>\n",
" <td>63</td>\n",
" <td>0.235</td>\n",
" <td>0.239</td>\n",
" <td>0.482</td>\n",
" <td>0.314</td>\n",
" <td>0.796</td>\n",
" <td>0.342</td>\n",
" <td>6.3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>54</th>\n",
" <td>2017-07-21</td>\n",
" <td>外崎 修汰</td>\n",
" <td>L</td>\n",
" <td>1300</td>\n",
" <td>75</td>\n",
" <td>258</td>\n",
" <td>231</td>\n",
" <td>34</td>\n",
" <td>54</td>\n",
" <td>7</td>\n",
" <td>0</td>\n",
" <td>7</td>\n",
" <td>27</td>\n",
" <td>0.234</td>\n",
" <td>0.278</td>\n",
" <td>0.355</td>\n",
" <td>0.292</td>\n",
" <td>0.647</td>\n",
" <td>0.286</td>\n",
" <td>-7.1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>55</th>\n",
" <td>2017-07-21</td>\n",
" <td>中村 剛也</td>\n",
" <td>L</td>\n",
" <td>41000</td>\n",
" <td>78</td>\n",
" <td>336</td>\n",
" <td>292</td>\n",
" <td>44</td>\n",
" <td>67</td>\n",
" <td>11</td>\n",
" <td>0</td>\n",
" <td>20</td>\n",
" <td>60</td>\n",
" <td>0.229</td>\n",
" <td>0.240</td>\n",
" <td>0.473</td>\n",
" <td>0.315</td>\n",
" <td>0.788</td>\n",
" <td>0.340</td>\n",
" <td>5.4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>56</th>\n",
" <td>2017-07-21</td>\n",
" <td>山田 哲人</td>\n",
" <td>S</td>\n",
" <td>35000</td>\n",
" <td>86</td>\n",
" <td>379</td>\n",
" <td>317</td>\n",
" <td>52</td>\n",
" <td>72</td>\n",
" <td>13</td>\n",
" <td>1</td>\n",
" <td>14</td>\n",
" <td>42</td>\n",
" <td>0.227</td>\n",
" <td>0.257</td>\n",
" <td>0.407</td>\n",
" <td>0.351</td>\n",
" <td>0.758</td>\n",
" <td>0.339</td>\n",
" <td>5.8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>57</th>\n",
" <td>2017-07-21</td>\n",
" <td>大引 啓次</td>\n",
" <td>S</td>\n",
" <td>7000</td>\n",
" <td>67</td>\n",
" <td>271</td>\n",
" <td>239</td>\n",
" <td>22</td>\n",
" <td>54</td>\n",
" <td>11</td>\n",
" <td>0</td>\n",
" <td>5</td>\n",
" <td>25</td>\n",
" <td>0.226</td>\n",
" <td>0.246</td>\n",
" <td>0.335</td>\n",
" <td>0.294</td>\n",
" <td>0.629</td>\n",
" <td>0.282</td>\n",
" <td>-8.3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>58</th>\n",
" <td>2017-07-21</td>\n",
" <td>中田 翔</td>\n",
" <td>F</td>\n",
" <td>28000</td>\n",
" <td>76</td>\n",
" <td>330</td>\n",
" <td>285</td>\n",
" <td>37</td>\n",
" <td>64</td>\n",
" <td>17</td>\n",
" <td>0</td>\n",
" <td>11</td>\n",
" <td>47</td>\n",
" <td>0.225</td>\n",
" <td>0.238</td>\n",
" <td>0.400</td>\n",
" <td>0.321</td>\n",
" <td>0.721</td>\n",
" <td>0.320</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>59</th>\n",
" <td>2017-07-21</td>\n",
" <td>アマダー</td>\n",
" <td>E</td>\n",
" <td>3000</td>\n",
" <td>67</td>\n",
" <td>261</td>\n",
" <td>233</td>\n",
" <td>17</td>\n",
" <td>50</td>\n",
" <td>3</td>\n",
" <td>0</td>\n",
" <td>9</td>\n",
" <td>30</td>\n",
" <td>0.215</td>\n",
" <td>0.248</td>\n",
" <td>0.343</td>\n",
" <td>0.291</td>\n",
" <td>0.635</td>\n",
" <td>0.282</td>\n",
" <td>-8.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>60</th>\n",
" <td>2017-07-21</td>\n",
" <td>安達 了一</td>\n",
" <td>Bs</td>\n",
" <td>6600</td>\n",
" <td>71</td>\n",
" <td>256</td>\n",
" <td>214</td>\n",
" <td>24</td>\n",
" <td>42</td>\n",
" <td>5</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>10</td>\n",
" <td>0.196</td>\n",
" <td>0.236</td>\n",
" <td>0.243</td>\n",
" <td>0.304</td>\n",
" <td>0.547</td>\n",
" <td>0.258</td>\n",
" <td>-12.8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>61</th>\n",
" <td>2017-07-21</td>\n",
" <td>小林 誠司</td>\n",
" <td>G</td>\n",
" <td>5000</td>\n",
" <td>82</td>\n",
" <td>268</td>\n",
" <td>230</td>\n",
" <td>9</td>\n",
" <td>45</td>\n",
" <td>5</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>13</td>\n",
" <td>0.196</td>\n",
" <td>0.236</td>\n",
" <td>0.217</td>\n",
" <td>0.271</td>\n",
" <td>0.488</td>\n",
" <td>0.222</td>\n",
" <td>-21.2</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>62 rows × 20 columns</p>\n",
"</div>"
],
"text/plain": [
" date name team salary games pa ab r H 2B 3B HR RBI \\\n",
"0 2017-07-21 宮﨑 敏郎 DB 3000 72 293 267 28 93 16 1 8 38 \n",
"1 2017-07-21 柳田 悠岐 H 26000 84 364 288 66 94 20 0 23 75 \n",
"2 2017-07-21 坂本 勇人 G 35000 85 366 323 52 105 22 0 10 46 \n",
"3 2017-07-21 大島 洋平 D 15000 87 381 348 37 113 18 2 2 25 \n",
"4 2017-07-21 銀次 E 7600 79 331 294 40 94 16 0 2 32 \n",
"5 2017-07-21 丸 佳浩 C 14000 87 400 341 65 109 23 3 16 60 \n",
"6 2017-07-21 茂木 栄五郎 E 3200 57 257 226 44 72 16 1 12 37 \n",
"7 2017-07-21 秋山 翔吾 L 20000 83 386 329 66 105 17 2 17 50 \n",
"8 2017-07-21 ロペス DB 23000 86 369 349 46 110 28 0 19 69 \n",
"9 2017-07-21 マギー G 19300 82 336 301 33 94 32 1 9 44 \n",
"10 2017-07-21 浅村 栄斗 L 15500 83 371 341 44 106 21 1 10 62 \n",
"11 2017-07-21 鈴木 誠也 C 6000 87 389 336 62 103 24 1 17 67 \n",
"12 2017-07-21 雄平 S 7000 70 295 277 29 85 21 0 2 32 \n",
"13 2017-07-21 ペゲーロ E 8500 79 352 314 47 96 13 0 21 62 \n",
"14 2017-07-21 西川 遥輝 F 10000 86 386 332 54 101 16 1 5 24 \n",
"15 2017-07-21 安部 友裕 C 2100 80 287 261 43 79 10 3 1 29 \n",
"16 2017-07-21 田中 広輔 C 7800 87 419 357 63 106 20 5 3 40 \n",
"17 2017-07-21 鳥谷 敬 T 40000 83 327 277 32 82 10 1 2 27 \n",
"18 2017-07-21 内川 聖一 H 35000 67 278 245 31 72 13 0 12 48 \n",
"19 2017-07-21 桑原 将志 DB 4000 86 400 353 57 103 23 4 9 31 \n",
"20 2017-07-21 上本 博紀 T 3300 75 299 253 35 74 13 0 5 23 \n",
"21 2017-07-21 上林 誠知 H 800 82 284 264 38 76 16 2 9 31 \n",
"22 2017-07-21 小谷野 栄一 Bs 7000 80 321 300 25 86 6 1 4 30 \n",
"23 2017-07-21 エルドレッド C 11000 79 293 251 32 72 7 0 21 61 \n",
"24 2017-07-21 ウィーラー E 10000 79 351 317 52 91 16 0 21 54 \n",
"25 2017-07-21 ゲレーロ D 15000 85 336 307 42 88 13 3 26 58 \n",
"26 2017-07-21 京田 陽太 D 1200 86 350 325 44 93 11 5 1 17 \n",
"27 2017-07-21 Ｔ－岡田 Bs 10000 83 347 291 46 83 11 0 18 37 \n",
"28 2017-07-21 島内 宏明 E 3300 79 333 285 41 81 9 3 8 31 \n",
"29 2017-07-21 バレンティン S 33000 69 283 245 31 69 8 1 14 34 \n",
".. ... ... ... ... ... ... ... .. ... .. .. .. ... \n",
"32 2017-07-21 今宮 健太 H 14500 85 373 311 52 86 17 2 5 31 \n",
"33 2017-07-21 中島 宏之 Bs 35000 73 295 263 15 72 12 0 4 26 \n",
"34 2017-07-21 筒香 嘉智 DB 30000 82 354 292 47 79 18 0 13 52 \n",
"35 2017-07-21 長野 久義 G 22500 79 306 278 32 75 13 2 9 21 \n",
"36 2017-07-21 デスパイネ H 40000 81 324 282 41 76 10 0 22 61 \n",
"37 2017-07-21 糸井 嘉男 T 28000 76 321 272 37 73 6 0 8 42 \n",
"38 2017-07-21 中村 晃 H 15000 87 366 313 35 84 9 2 1 18 \n",
"39 2017-07-21 坂口 智隆 S 7000 79 355 311 29 83 9 2 3 24 \n",
"40 2017-07-21 松田 宣浩 H 40000 87 350 322 37 86 12 3 15 45 \n",
"41 2017-07-21 髙山 俊 T 4000 79 305 281 33 74 13 2 5 20 \n",
"42 2017-07-21 源田 壮亮 L 1200 83 378 335 54 88 8 5 3 27 \n",
"43 2017-07-21 鈴木 大地 M 10000 84 345 298 35 77 16 2 8 36 \n",
"44 2017-07-21 梶谷 隆幸 DB 9300 80 352 322 52 83 21 1 12 41 \n",
"45 2017-07-21 福留 孝介 T 23000 79 325 276 38 71 10 1 8 37 \n",
"46 2017-07-21 メヒア L 50000 83 323 283 30 72 16 0 15 47 \n",
"47 2017-07-21 中村 悠平 S 5100 72 284 241 22 61 9 3 0 18 \n",
"48 2017-07-21 田中 賢介 F 20000 73 268 239 18 60 3 1 2 13 \n",
"49 2017-07-21 阿部 慎之助 G 26000 74 282 253 21 63 6 0 10 42 \n",
"50 2017-07-21 倉本 寿彦 DB 4300 86 326 303 30 75 12 0 1 22 \n",
"51 2017-07-21 平田 良介 D 12000 66 270 238 26 58 14 2 6 29 \n",
"52 2017-07-21 ビシエド D 17000 68 284 259 30 62 8 0 14 42 \n",
"53 2017-07-21 レアード F 30000 86 354 311 35 73 11 0 22 63 \n",
"54 2017-07-21 外崎 修汰 L 1300 75 258 231 34 54 7 0 7 27 \n",
"55 2017-07-21 中村 剛也 L 41000 78 336 292 44 67 11 0 20 60 \n",
"56 2017-07-21 山田 哲人 S 35000 86 379 317 52 72 13 1 14 42 \n",
"57 2017-07-21 大引 啓次 S 7000 67 271 239 22 54 11 0 5 25 \n",
"58 2017-07-21 中田 翔 F 28000 76 330 285 37 64 17 0 11 47 \n",
"59 2017-07-21 アマダー E 3000 67 261 233 17 50 3 0 9 30 \n",
"60 2017-07-21 安達 了一 Bs 6600 71 256 214 24 42 5 1 1 10 \n",
"61 2017-07-21 小林 誠司 G 5000 82 268 230 9 45 5 0 0 13 \n",
"\n",
" AVG BABIP SLG OBP OPS wOBA wRAA \n",
"0 0.348 0.366 0.506 0.406 0.912 0.397 18.2 \n",
"1 0.326 0.372 0.635 0.451 1.086 0.457 40.2 \n",
"2 0.325 0.360 0.486 0.399 0.885 0.386 19.5 \n",
"3 0.325 0.366 0.405 0.374 0.779 0.343 7.1 \n",
"4 0.320 0.364 0.395 0.393 0.787 0.350 8.0 \n",
"5 0.320 0.358 0.545 0.409 0.954 0.412 29.7 \n",
"6 0.319 0.353 0.558 0.390 0.947 0.409 18.4 \n",
"7 0.319 0.342 0.538 0.417 0.955 0.413 28.9 \n",
"8 0.315 0.320 0.559 0.339 0.897 0.384 19.0 \n",
"9 0.312 0.371 0.515 0.378 0.893 0.386 17.9 \n",
"10 0.311 0.330 0.466 0.357 0.823 0.358 11.4 \n",
"11 0.307 0.327 0.536 0.386 0.921 0.397 24.2 \n",
"12 0.307 0.353 0.404 0.342 0.747 0.329 2.1 \n",
"13 0.306 0.371 0.548 0.381 0.928 0.397 21.9 \n",
"14 0.304 0.376 0.404 0.386 0.789 0.351 9.6 \n",
"15 0.303 0.384 0.375 0.349 0.724 0.320 0.0 \n",
"16 0.297 0.365 0.406 0.389 0.796 0.355 11.8 \n",
"17 0.296 0.332 0.361 0.396 0.757 0.340 5.3 \n",
"18 0.294 0.284 0.494 0.371 0.864 0.375 12.3 \n",
"19 0.292 0.337 0.456 0.370 0.826 0.365 14.5 \n",
"20 0.292 0.324 0.403 0.373 0.776 0.345 6.0 \n",
"21 0.288 0.327 0.466 0.324 0.790 0.340 4.6 \n",
"22 0.287 0.318 0.353 0.326 0.679 0.299 -5.4 \n",
"23 0.287 0.321 0.566 0.379 0.945 0.402 19.4 \n",
"24 0.287 0.286 0.536 0.353 0.890 0.382 17.6 \n",
"25 0.287 0.291 0.603 0.342 0.945 0.402 22.2 \n",
"26 0.286 0.346 0.360 0.317 0.677 0.298 -6.2 \n",
"27 0.285 0.342 0.509 0.401 0.909 0.395 21.0 \n",
"28 0.284 0.293 0.421 0.372 0.793 0.350 8.1 \n",
"29 0.282 0.320 0.494 0.378 0.872 0.380 13.7 \n",
".. ... ... ... ... ... ... ... \n",
"32 0.277 0.306 0.392 0.337 0.730 0.323 0.9 \n",
"33 0.274 0.324 0.365 0.346 0.711 0.317 -0.7 \n",
"34 0.271 0.307 0.466 0.390 0.856 0.374 15.4 \n",
"35 0.270 0.313 0.428 0.331 0.759 0.331 2.7 \n",
"36 0.270 0.284 0.539 0.358 0.897 0.385 17.0 \n",
"37 0.268 0.295 0.379 0.374 0.753 0.337 4.4 \n",
"38 0.268 0.292 0.319 0.347 0.667 0.301 -5.6 \n",
"39 0.267 0.304 0.338 0.346 0.683 0.307 -3.7 \n",
"40 0.267 0.293 0.463 0.323 0.786 0.339 5.4 \n",
"41 0.263 0.324 0.377 0.318 0.695 0.308 -3.0 \n",
"42 0.263 0.307 0.343 0.322 0.666 0.297 -7.0 \n",
"43 0.258 0.284 0.406 0.347 0.753 0.335 4.2 \n",
"44 0.258 0.330 0.441 0.318 0.759 0.331 3.1 \n",
"45 0.257 0.299 0.388 0.364 0.752 0.337 4.5 \n",
"46 0.254 0.308 0.470 0.341 0.811 0.354 8.9 \n",
"47 0.253 0.296 0.315 0.347 0.662 0.304 -3.7 \n",
"48 0.251 0.276 0.297 0.332 0.629 0.284 -7.8 \n",
"49 0.249 0.260 0.391 0.312 0.703 0.306 -3.2 \n",
"50 0.248 0.298 0.297 0.283 0.580 0.258 -16.3 \n",
"51 0.244 0.299 0.395 0.326 0.721 0.320 0.0 \n",
"52 0.239 0.239 0.432 0.303 0.735 0.320 0.0 \n",
"53 0.235 0.239 0.482 0.314 0.796 0.342 6.3 \n",
"54 0.234 0.278 0.355 0.292 0.647 0.286 -7.1 \n",
"55 0.229 0.240 0.473 0.315 0.788 0.340 5.4 \n",
"56 0.227 0.257 0.407 0.351 0.758 0.339 5.8 \n",
"57 0.226 0.246 0.335 0.294 0.629 0.282 -8.3 \n",
"58 0.225 0.238 0.400 0.321 0.721 0.320 0.0 \n",
"59 0.215 0.248 0.343 0.291 0.635 0.282 -8.0 \n",
"60 0.196 0.236 0.243 0.304 0.547 0.258 -12.8 \n",
"61 0.196 0.236 0.217 0.271 0.488 0.222 -21.2 \n",
"\n",
"[62 rows x 20 columns]"
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# 中身をチェック\n",
"df"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"data": {
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" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>salary</th>\n",
" <th>games</th>\n",
" <th>pa</th>\n",
" <th>ab</th>\n",
" <th>r</th>\n",
" <th>H</th>\n",
" <th>2B</th>\n",
" <th>3B</th>\n",
" <th>HR</th>\n",
" <th>RBI</th>\n",
" <th>AVG</th>\n",
" <th>BABIP</th>\n",
" <th>SLG</th>\n",
" <th>OBP</th>\n",
" <th>OPS</th>\n",
" <th>wOBA</th>\n",
" <th>wRAA</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>count</th>\n",
" <td>62.000000</td>\n",
" <td>62.000000</td>\n",
" <td>62.000000</td>\n",
" <td>62.000000</td>\n",
" <td>62.000000</td>\n",
" <td>62.000000</td>\n",
" <td>62.000000</td>\n",
" <td>62.000000</td>\n",
" <td>62.000000</td>\n",
" <td>62.000000</td>\n",
" <td>62.000000</td>\n",
" <td>62.000000</td>\n",
" <td>62.000000</td>\n",
" <td>62.000000</td>\n",
" <td>62.000000</td>\n",
" <td>62.000000</td>\n",
" <td>62.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>mean</th>\n",
" <td>15898.387097</td>\n",
" <td>79.209677</td>\n",
" <td>328.274194</td>\n",
" <td>288.887097</td>\n",
" <td>38.774194</td>\n",
" <td>80.306452</td>\n",
" <td>13.580645</td>\n",
" <td>1.258065</td>\n",
" <td>9.548387</td>\n",
" <td>37.919355</td>\n",
" <td>0.276161</td>\n",
" <td>0.311210</td>\n",
" <td>0.429355</td>\n",
" <td>0.350581</td>\n",
" <td>0.779903</td>\n",
" <td>0.342097</td>\n",
" <td>6.451613</td>\n",
" </tr>\n",
" <tr>\n",
" <th>std</th>\n",
" <td>12784.423052</td>\n",
" <td>6.687736</td>\n",
" <td>42.742910</td>\n",
" <td>37.401720</td>\n",
" <td>13.008723</td>\n",
" <td>16.677843</td>\n",
" <td>5.996033</td>\n",
" <td>1.459120</td>\n",
" <td>6.932171</td>\n",
" <td>15.558771</td>\n",
" <td>0.033389</td>\n",
" <td>0.040522</td>\n",
" <td>0.086874</td>\n",
" <td>0.036840</td>\n",
" <td>0.112880</td>\n",
" <td>0.044258</td>\n",
" <td>11.796078</td>\n",
" </tr>\n",
" <tr>\n",
" <th>min</th>\n",
" <td>800.000000</td>\n",
" <td>57.000000</td>\n",
" <td>256.000000</td>\n",
" <td>214.000000</td>\n",
" <td>9.000000</td>\n",
" <td>42.000000</td>\n",
" <td>3.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>10.000000</td>\n",
" <td>0.196000</td>\n",
" <td>0.236000</td>\n",
" <td>0.217000</td>\n",
" <td>0.271000</td>\n",
" <td>0.488000</td>\n",
" <td>0.222000</td>\n",
" <td>-21.200000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>25%</th>\n",
" <td>5325.000000</td>\n",
" <td>75.250000</td>\n",
" <td>288.500000</td>\n",
" <td>259.500000</td>\n",
" <td>30.250000</td>\n",
" <td>72.000000</td>\n",
" <td>9.250000</td>\n",
" <td>0.000000</td>\n",
" <td>3.250000</td>\n",
" <td>27.000000</td>\n",
" <td>0.254750</td>\n",
" <td>0.287250</td>\n",
" <td>0.375500</td>\n",
" <td>0.322250</td>\n",
" <td>0.713500</td>\n",
" <td>0.317750</td>\n",
" <td>-0.525000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>50%</th>\n",
" <td>11500.000000</td>\n",
" <td>80.000000</td>\n",
" <td>330.500000</td>\n",
" <td>289.500000</td>\n",
" <td>37.000000</td>\n",
" <td>79.000000</td>\n",
" <td>13.000000</td>\n",
" <td>1.000000</td>\n",
" <td>9.000000</td>\n",
" <td>36.500000</td>\n",
" <td>0.279500</td>\n",
" <td>0.315500</td>\n",
" <td>0.406500</td>\n",
" <td>0.347000</td>\n",
" <td>0.767500</td>\n",
" <td>0.339500</td>\n",
" <td>5.350000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>75%</th>\n",
" <td>25250.000000</td>\n",
" <td>84.750000</td>\n",
" <td>361.750000</td>\n",
" <td>317.000000</td>\n",
" <td>46.750000</td>\n",
" <td>93.000000</td>\n",
" <td>17.000000</td>\n",
" <td>2.000000</td>\n",
" <td>14.000000</td>\n",
" <td>47.000000</td>\n",
" <td>0.301500</td>\n",
" <td>0.340750</td>\n",
" <td>0.492000</td>\n",
" <td>0.378000</td>\n",
" <td>0.870000</td>\n",
" <td>0.378750</td>\n",
" <td>15.175000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>max</th>\n",
" <td>50000.000000</td>\n",
" <td>87.000000</td>\n",
" <td>419.000000</td>\n",
" <td>357.000000</td>\n",
" <td>66.000000</td>\n",
" <td>113.000000</td>\n",
" <td>32.000000</td>\n",
" <td>5.000000</td>\n",
" <td>26.000000</td>\n",
" <td>75.000000</td>\n",
" <td>0.348000</td>\n",
" <td>0.384000</td>\n",
" <td>0.635000</td>\n",
" <td>0.451000</td>\n",
" <td>1.086000</td>\n",
" <td>0.457000</td>\n",
" <td>40.200000</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" salary games pa ab r H \\\n",
"count 62.000000 62.000000 62.000000 62.000000 62.000000 62.000000 \n",
"mean 15898.387097 79.209677 328.274194 288.887097 38.774194 80.306452 \n",
"std 12784.423052 6.687736 42.742910 37.401720 13.008723 16.677843 \n",
"min 800.000000 57.000000 256.000000 214.000000 9.000000 42.000000 \n",
"25% 5325.000000 75.250000 288.500000 259.500000 30.250000 72.000000 \n",
"50% 11500.000000 80.000000 330.500000 289.500000 37.000000 79.000000 \n",
"75% 25250.000000 84.750000 361.750000 317.000000 46.750000 93.000000 \n",
"max 50000.000000 87.000000 419.000000 357.000000 66.000000 113.000000 \n",
"\n",
" 2B 3B HR RBI AVG BABIP \\\n",
"count 62.000000 62.000000 62.000000 62.000000 62.000000 62.000000 \n",
"mean 13.580645 1.258065 9.548387 37.919355 0.276161 0.311210 \n",
"std 5.996033 1.459120 6.932171 15.558771 0.033389 0.040522 \n",
"min 3.000000 0.000000 0.000000 10.000000 0.196000 0.236000 \n",
"25% 9.250000 0.000000 3.250000 27.000000 0.254750 0.287250 \n",
"50% 13.000000 1.000000 9.000000 36.500000 0.279500 0.315500 \n",
"75% 17.000000 2.000000 14.000000 47.000000 0.301500 0.340750 \n",
"max 32.000000 5.000000 26.000000 75.000000 0.348000 0.384000 \n",
"\n",
" SLG OBP OPS wOBA wRAA \n",
"count 62.000000 62.000000 62.000000 62.000000 62.000000 \n",
"mean 0.429355 0.350581 0.779903 0.342097 6.451613 \n",
"std 0.086874 0.036840 0.112880 0.044258 11.796078 \n",
"min 0.217000 0.271000 0.488000 0.222000 -21.200000 \n",
"25% 0.375500 0.322250 0.713500 0.317750 -0.525000 \n",
"50% 0.406500 0.347000 0.767500 0.339500 5.350000 \n",
"75% 0.492000 0.378000 0.870000 0.378750 15.175000 \n",
"max 0.635000 0.451000 1.086000 0.457000 40.200000 "
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# 統計量を出してみる\n",
"df.describe()"
]
},
{
"cell_type": "code",
"execution_count": 12,
"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>AVG</th>\n",
" <th>RBI</th>\n",
" <th>HR</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>count</th>\n",
" <td>62.000000</td>\n",
" <td>62.000000</td>\n",
" <td>62.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>mean</th>\n",
" <td>0.276161</td>\n",
" <td>37.919355</td>\n",
" <td>9.548387</td>\n",
" </tr>\n",
" <tr>\n",
" <th>std</th>\n",
" <td>0.033389</td>\n",
" <td>15.558771</td>\n",
" <td>6.932171</td>\n",
" </tr>\n",
" <tr>\n",
" <th>min</th>\n",
" <td>0.196000</td>\n",
" <td>10.000000</td>\n",
" <td>0.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>25%</th>\n",
" <td>0.254750</td>\n",
" <td>27.000000</td>\n",
" <td>3.250000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>50%</th>\n",
" <td>0.279500</td>\n",
" <td>36.500000</td>\n",
" <td>9.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>75%</th>\n",
" <td>0.301500</td>\n",
" <td>47.000000</td>\n",
" <td>14.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>max</th>\n",
" <td>0.348000</td>\n",
" <td>75.000000</td>\n",
" <td>26.000000</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" AVG RBI HR\n",
"count 62.000000 62.000000 62.000000\n",
"mean 0.276161 37.919355 9.548387\n",
"std 0.033389 15.558771 6.932171\n",
"min 0.196000 10.000000 0.000000\n",
"25% 0.254750 27.000000 3.250000\n",
"50% 0.279500 36.500000 9.000000\n",
"75% 0.301500 47.000000 14.000000\n",
"max 0.348000 75.000000 26.000000"
]
},
"execution_count": 12,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# 主要成績の統計量\n",
"df[['AVG', 'RBI', 'HR']].describe()"
]
},
{
"cell_type": "code",
"execution_count": 14,
"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>name</th>\n",
" <th>team</th>\n",
" <th>AVG</th>\n",
" <th>RBI</th>\n",
" <th>HR</th>\n",
" <th>OBP</th>\n",
" <th>wOBA</th>\n",
" <th>wRAA</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>柳田 悠岐</td>\n",
" <td>H</td>\n",
" <td>0.326</td>\n",
" <td>75</td>\n",
" <td>23</td>\n",
" <td>0.451</td>\n",
" <td>0.457</td>\n",
" <td>40.2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>丸 佳浩</td>\n",
" <td>C</td>\n",
" <td>0.320</td>\n",
" <td>60</td>\n",
" <td>16</td>\n",
" <td>0.409</td>\n",
" <td>0.412</td>\n",
" <td>29.7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>秋山 翔吾</td>\n",
" <td>L</td>\n",
" <td>0.319</td>\n",
" <td>50</td>\n",
" <td>17</td>\n",
" <td>0.417</td>\n",
" <td>0.413</td>\n",
" <td>28.9</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11</th>\n",
" <td>鈴木 誠也</td>\n",
" <td>C</td>\n",
" <td>0.307</td>\n",
" <td>67</td>\n",
" <td>17</td>\n",
" <td>0.386</td>\n",
" <td>0.397</td>\n",
" <td>24.2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>25</th>\n",
" <td>ゲレーロ</td>\n",
" <td>D</td>\n",
" <td>0.287</td>\n",
" <td>58</td>\n",
" <td>26</td>\n",
" <td>0.342</td>\n",
" <td>0.402</td>\n",
" <td>22.2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>13</th>\n",
" <td>ペゲーロ</td>\n",
" <td>E</td>\n",
" <td>0.306</td>\n",
" <td>62</td>\n",
" <td>21</td>\n",
" <td>0.381</td>\n",
" <td>0.397</td>\n",
" <td>21.9</td>\n",
" </tr>\n",
" <tr>\n",
" <th>27</th>\n",
" <td>Ｔ－岡田</td>\n",
" <td>Bs</td>\n",
" <td>0.285</td>\n",
" <td>37</td>\n",
" <td>18</td>\n",
" <td>0.401</td>\n",
" <td>0.395</td>\n",
" <td>21.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>坂本 勇人</td>\n",
" <td>G</td>\n",
" <td>0.325</td>\n",
" <td>46</td>\n",
" <td>10</td>\n",
" <td>0.399</td>\n",
" <td>0.386</td>\n",
" <td>19.5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>23</th>\n",
" <td>エルドレッド</td>\n",
" <td>C</td>\n",
" <td>0.287</td>\n",
" <td>61</td>\n",
" <td>21</td>\n",
" <td>0.379</td>\n",
" <td>0.402</td>\n",
" <td>19.4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>ロペス</td>\n",
" <td>DB</td>\n",
" <td>0.315</td>\n",
" <td>69</td>\n",
" <td>19</td>\n",
" <td>0.339</td>\n",
" <td>0.384</td>\n",
" <td>19.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>茂木 栄五郎</td>\n",
" <td>E</td>\n",
" <td>0.319</td>\n",
" <td>37</td>\n",
" <td>12</td>\n",
" <td>0.390</td>\n",
" <td>0.409</td>\n",
" <td>18.4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>宮﨑 敏郎</td>\n",
" <td>DB</td>\n",
" <td>0.348</td>\n",
" <td>38</td>\n",
" <td>8</td>\n",
" <td>0.406</td>\n",
" <td>0.397</td>\n",
" <td>18.2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>マギー</td>\n",
" <td>G</td>\n",
" <td>0.312</td>\n",
" <td>44</td>\n",
" <td>9</td>\n",
" <td>0.378</td>\n",
" <td>0.386</td>\n",
" <td>17.9</td>\n",
" </tr>\n",
" <tr>\n",
" <th>24</th>\n",
" <td>ウィーラー</td>\n",
" <td>E</td>\n",
" <td>0.287</td>\n",
" <td>54</td>\n",
" <td>21</td>\n",
" <td>0.353</td>\n",
" <td>0.382</td>\n",
" <td>17.6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>36</th>\n",
" <td>デスパイネ</td>\n",
" <td>H</td>\n",
" <td>0.270</td>\n",
" <td>61</td>\n",
" <td>22</td>\n",
" <td>0.358</td>\n",
" <td>0.385</td>\n",
" <td>17.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>34</th>\n",
" <td>筒香 嘉智</td>\n",
" <td>DB</td>\n",
" <td>0.271</td>\n",
" <td>52</td>\n",
" <td>13</td>\n",
" <td>0.390</td>\n",
" <td>0.374</td>\n",
" <td>15.4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>19</th>\n",
" <td>桑原 将志</td>\n",
" <td>DB</td>\n",
" <td>0.292</td>\n",
" <td>31</td>\n",
" <td>9</td>\n",
" <td>0.370</td>\n",
" <td>0.365</td>\n",
" <td>14.5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>29</th>\n",
" <td>バレンティン</td>\n",
" <td>S</td>\n",
" <td>0.282</td>\n",
" <td>34</td>\n",
" <td>14</td>\n",
" <td>0.378</td>\n",
" <td>0.380</td>\n",
" <td>13.7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>18</th>\n",
" <td>内川 聖一</td>\n",
" <td>H</td>\n",
" <td>0.294</td>\n",
" <td>48</td>\n",
" <td>12</td>\n",
" <td>0.371</td>\n",
" <td>0.375</td>\n",
" <td>12.3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>16</th>\n",
" <td>田中 広輔</td>\n",
" <td>C</td>\n",
" <td>0.297</td>\n",
" <td>40</td>\n",
" <td>3</td>\n",
" <td>0.389</td>\n",
" <td>0.355</td>\n",
" <td>11.8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10</th>\n",
" <td>浅村 栄斗</td>\n",
" <td>L</td>\n",
" <td>0.311</td>\n",
" <td>62</td>\n",
" <td>10</td>\n",
" <td>0.357</td>\n",
" <td>0.358</td>\n",
" <td>11.4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>14</th>\n",
" <td>西川 遥輝</td>\n",
" <td>F</td>\n",
" <td>0.304</td>\n",
" <td>24</td>\n",
" <td>5</td>\n",
" <td>0.386</td>\n",
" <td>0.351</td>\n",
" <td>9.6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>46</th>\n",
" <td>メヒア</td>\n",
" <td>L</td>\n",
" <td>0.254</td>\n",
" <td>47</td>\n",
" <td>15</td>\n",
" <td>0.341</td>\n",
" <td>0.354</td>\n",
" <td>8.9</td>\n",
" </tr>\n",
" <tr>\n",
" <th>28</th>\n",
" <td>島内 宏明</td>\n",
" <td>E</td>\n",
" <td>0.284</td>\n",
" <td>31</td>\n",
" <td>8</td>\n",
" <td>0.372</td>\n",
" <td>0.350</td>\n",
" <td>8.1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>銀次</td>\n",
" <td>E</td>\n",
" <td>0.320</td>\n",
" <td>32</td>\n",
" <td>2</td>\n",
" <td>0.393</td>\n",
" <td>0.350</td>\n",
" <td>8.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>大島 洋平</td>\n",
" <td>D</td>\n",
" <td>0.325</td>\n",
" <td>25</td>\n",
" <td>2</td>\n",
" <td>0.374</td>\n",
" <td>0.343</td>\n",
" <td>7.1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>53</th>\n",
" <td>レアード</td>\n",
" <td>F</td>\n",
" <td>0.235</td>\n",
" <td>63</td>\n",
" <td>22</td>\n",
" <td>0.314</td>\n",
" <td>0.342</td>\n",
" <td>6.3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>20</th>\n",
" <td>上本 博紀</td>\n",
" <td>T</td>\n",
" <td>0.292</td>\n",
" <td>23</td>\n",
" <td>5</td>\n",
" <td>0.373</td>\n",
" <td>0.345</td>\n",
" <td>6.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>56</th>\n",
" <td>山田 哲人</td>\n",
" <td>S</td>\n",
" <td>0.227</td>\n",
" <td>42</td>\n",
" <td>14</td>\n",
" <td>0.351</td>\n",
" <td>0.339</td>\n",
" <td>5.8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>55</th>\n",
" <td>中村 剛也</td>\n",
" <td>L</td>\n",
" <td>0.229</td>\n",
" <td>60</td>\n",
" <td>20</td>\n",
" <td>0.315</td>\n",
" <td>0.340</td>\n",
" <td>5.4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>21</th>\n",
" <td>上林 誠知</td>\n",
" <td>H</td>\n",
" <td>0.288</td>\n",
" <td>31</td>\n",
" <td>9</td>\n",
" <td>0.324</td>\n",
" <td>0.340</td>\n",
" <td>4.6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>45</th>\n",
" <td>福留 孝介</td>\n",
" <td>T</td>\n",
" <td>0.257</td>\n",
" <td>37</td>\n",
" <td>8</td>\n",
" <td>0.364</td>\n",
" <td>0.337</td>\n",
" <td>4.5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>37</th>\n",
" <td>糸井 嘉男</td>\n",
" <td>T</td>\n",
" <td>0.268</td>\n",
" <td>42</td>\n",
" <td>8</td>\n",
" <td>0.374</td>\n",
" <td>0.337</td>\n",
" <td>4.4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>43</th>\n",
" <td>鈴木 大地</td>\n",
" <td>M</td>\n",
" <td>0.258</td>\n",
" <td>36</td>\n",
" <td>8</td>\n",
" <td>0.347</td>\n",
" <td>0.335</td>\n",
" <td>4.2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>44</th>\n",
" <td>梶谷 隆幸</td>\n",
" <td>DB</td>\n",
" <td>0.258</td>\n",
" <td>41</td>\n",
" <td>12</td>\n",
" <td>0.318</td>\n",
" <td>0.331</td>\n",
" <td>3.1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>31</th>\n",
" <td>岡島 豪郎</td>\n",
" <td>E</td>\n",
" <td>0.279</td>\n",
" <td>27</td>\n",
" <td>3</td>\n",
" <td>0.351</td>\n",
" <td>0.332</td>\n",
" <td>2.8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>35</th>\n",
" <td>長野 久義</td>\n",
" <td>G</td>\n",
" <td>0.270</td>\n",
" <td>21</td>\n",
" <td>9</td>\n",
" <td>0.331</td>\n",
" <td>0.331</td>\n",
" <td>2.7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>12</th>\n",
" <td>雄平</td>\n",
" <td>S</td>\n",
" <td>0.307</td>\n",
" <td>32</td>\n",
" <td>2</td>\n",
" <td>0.342</td>\n",
" <td>0.329</td>\n",
" <td>2.1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>32</th>\n",
" <td>今宮 健太</td>\n",
" <td>H</td>\n",
" <td>0.277</td>\n",
" <td>31</td>\n",
" <td>5</td>\n",
" <td>0.337</td>\n",
" <td>0.323</td>\n",
" <td>0.9</td>\n",
" </tr>\n",
" <tr>\n",
" <th>30</th>\n",
" <td>菊池 涼介</td>\n",
" <td>C</td>\n",
" <td>0.280</td>\n",
" <td>39</td>\n",
" <td>9</td>\n",
" <td>0.319</td>\n",
" <td>0.322</td>\n",
" <td>0.6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>15</th>\n",
" <td>安部 友裕</td>\n",
" <td>C</td>\n",
" <td>0.303</td>\n",
" <td>29</td>\n",
" <td>1</td>\n",
" <td>0.349</td>\n",
" <td>0.320</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>51</th>\n",
" <td>平田 良介</td>\n",
" <td>D</td>\n",
" <td>0.244</td>\n",
" <td>29</td>\n",
" <td>6</td>\n",
" <td>0.326</td>\n",
" <td>0.320</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>52</th>\n",
" <td>ビシエド</td>\n",
" <td>D</td>\n",
" <td>0.239</td>\n",
" <td>42</td>\n",
" <td>14</td>\n",
" <td>0.303</td>\n",
" <td>0.320</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>58</th>\n",
" <td>中田 翔</td>\n",
" <td>F</td>\n",
" <td>0.225</td>\n",
" <td>47</td>\n",
" <td>11</td>\n",
" <td>0.321</td>\n",
" <td>0.320</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>33</th>\n",
" <td>中島 宏之</td>\n",
" <td>Bs</td>\n",
" <td>0.274</td>\n",
" <td>26</td>\n",
" <td>4</td>\n",
" <td>0.346</td>\n",
" <td>0.317</td>\n",
" <td>-0.7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>41</th>\n",
" <td>髙山 俊</td>\n",
" <td>T</td>\n",
" <td>0.263</td>\n",
" <td>20</td>\n",
" <td>5</td>\n",
" <td>0.318</td>\n",
" <td>0.308</td>\n",
" <td>-3.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>49</th>\n",
" <td>阿部 慎之助</td>\n",
" <td>G</td>\n",
" <td>0.249</td>\n",
" <td>42</td>\n",
" <td>10</td>\n",
" <td>0.312</td>\n",
" <td>0.306</td>\n",
" <td>-3.2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>39</th>\n",
" <td>坂口 智隆</td>\n",
" <td>S</td>\n",
" <td>0.267</td>\n",
" <td>24</td>\n",
" <td>3</td>\n",
" <td>0.346</td>\n",
" <td>0.307</td>\n",
" <td>-3.7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>47</th>\n",
" <td>中村 悠平</td>\n",
" <td>S</td>\n",
" <td>0.253</td>\n",
" <td>18</td>\n",
" <td>0</td>\n",
" <td>0.347</td>\n",
" <td>0.304</td>\n",
" <td>-3.7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>22</th>\n",
" <td>小谷野 栄一</td>\n",
" <td>Bs</td>\n",
" <td>0.287</td>\n",
" <td>30</td>\n",
" <td>4</td>\n",
" <td>0.326</td>\n",
" <td>0.299</td>\n",
" <td>-5.4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>38</th>\n",
" <td>中村 晃</td>\n",
" <td>H</td>\n",
" <td>0.268</td>\n",
" <td>18</td>\n",
" <td>1</td>\n",
" <td>0.347</td>\n",
" <td>0.301</td>\n",
" <td>-5.6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>26</th>\n",
" <td>京田 陽太</td>\n",
" <td>D</td>\n",
" <td>0.286</td>\n",
" <td>17</td>\n",
" <td>1</td>\n",
" <td>0.317</td>\n",
" <td>0.298</td>\n",
" <td>-6.2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>42</th>\n",
" <td>源田 壮亮</td>\n",
" <td>L</td>\n",
" <td>0.263</td>\n",
" <td>27</td>\n",
" <td>3</td>\n",
" <td>0.322</td>\n",
" <td>0.297</td>\n",
" <td>-7.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>54</th>\n",
" <td>外崎 修汰</td>\n",
" <td>L</td>\n",
" <td>0.234</td>\n",
" <td>27</td>\n",
" <td>7</td>\n",
" <td>0.292</td>\n",
" <td>0.286</td>\n",
" <td>-7.1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>48</th>\n",
" <td>田中 賢介</td>\n",
" <td>F</td>\n",
" <td>0.251</td>\n",
" <td>13</td>\n",
" <td>2</td>\n",
" <td>0.332</td>\n",
" <td>0.284</td>\n",
" <td>-7.8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>59</th>\n",
" <td>アマダー</td>\n",
" <td>E</td>\n",
" <td>0.215</td>\n",
" <td>30</td>\n",
" <td>9</td>\n",
" <td>0.291</td>\n",
" <td>0.282</td>\n",
" <td>-8.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>57</th>\n",
" <td>大引 啓次</td>\n",
" <td>S</td>\n",
" <td>0.226</td>\n",
" <td>25</td>\n",
" <td>5</td>\n",
" <td>0.294</td>\n",
" <td>0.282</td>\n",
" <td>-8.3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>60</th>\n",
" <td>安達 了一</td>\n",
" <td>Bs</td>\n",
" <td>0.196</td>\n",
" <td>10</td>\n",
" <td>1</td>\n",
" <td>0.304</td>\n",
" <td>0.258</td>\n",
" <td>-12.8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>50</th>\n",
" <td>倉本 寿彦</td>\n",
" <td>DB</td>\n",
" <td>0.248</td>\n",
" <td>22</td>\n",
" <td>1</td>\n",
" <td>0.283</td>\n",
" <td>0.258</td>\n",
" <td>-16.3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>61</th>\n",
" <td>小林 誠司</td>\n",
" <td>G</td>\n",
" <td>0.196</td>\n",
" <td>13</td>\n",
" <td>0</td>\n",
" <td>0.271</td>\n",
" <td>0.222</td>\n",
" <td>-21.2</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>62 rows × 8 columns</p>\n",
"</div>"
],
"text/plain": [
" name team AVG RBI HR OBP wOBA wRAA\n",
"1 柳田 悠岐 H 0.326 75 23 0.451 0.457 40.2\n",
"5 丸 佳浩 C 0.320 60 16 0.409 0.412 29.7\n",
"7 秋山 翔吾 L 0.319 50 17 0.417 0.413 28.9\n",
"11 鈴木 誠也 C 0.307 67 17 0.386 0.397 24.2\n",
"25 ゲレーロ D 0.287 58 26 0.342 0.402 22.2\n",
"13 ペゲーロ E 0.306 62 21 0.381 0.397 21.9\n",
"27 Ｔ－岡田 Bs 0.285 37 18 0.401 0.395 21.0\n",
"2 坂本 勇人 G 0.325 46 10 0.399 0.386 19.5\n",
"23 エルドレッド C 0.287 61 21 0.379 0.402 19.4\n",
"8 ロペス DB 0.315 69 19 0.339 0.384 19.0\n",
"6 茂木 栄五郎 E 0.319 37 12 0.390 0.409 18.4\n",
"0 宮﨑 敏郎 DB 0.348 38 8 0.406 0.397 18.2\n",
"9 マギー G 0.312 44 9 0.378 0.386 17.9\n",
"24 ウィーラー E 0.287 54 21 0.353 0.382 17.6\n",
"36 デスパイネ H 0.270 61 22 0.358 0.385 17.0\n",
"34 筒香 嘉智 DB 0.271 52 13 0.390 0.374 15.4\n",
"19 桑原 将志 DB 0.292 31 9 0.370 0.365 14.5\n",
"29 バレンティン S 0.282 34 14 0.378 0.380 13.7\n",
"18 内川 聖一 H 0.294 48 12 0.371 0.375 12.3\n",
"16 田中 広輔 C 0.297 40 3 0.389 0.355 11.8\n",
"10 浅村 栄斗 L 0.311 62 10 0.357 0.358 11.4\n",
"14 西川 遥輝 F 0.304 24 5 0.386 0.351 9.6\n",
"46 メヒア L 0.254 47 15 0.341 0.354 8.9\n",
"28 島内 宏明 E 0.284 31 8 0.372 0.350 8.1\n",
"4 銀次 E 0.320 32 2 0.393 0.350 8.0\n",
"3 大島 洋平 D 0.325 25 2 0.374 0.343 7.1\n",
"53 レアード F 0.235 63 22 0.314 0.342 6.3\n",
"20 上本 博紀 T 0.292 23 5 0.373 0.345 6.0\n",
"56 山田 哲人 S 0.227 42 14 0.351 0.339 5.8\n",
"55 中村 剛也 L 0.229 60 20 0.315 0.340 5.4\n",
".. ... ... ... ... .. ... ... ...\n",
"21 上林 誠知 H 0.288 31 9 0.324 0.340 4.6\n",
"45 福留 孝介 T 0.257 37 8 0.364 0.337 4.5\n",
"37 糸井 嘉男 T 0.268 42 8 0.374 0.337 4.4\n",
"43 鈴木 大地 M 0.258 36 8 0.347 0.335 4.2\n",
"44 梶谷 隆幸 DB 0.258 41 12 0.318 0.331 3.1\n",
"31 岡島 豪郎 E 0.279 27 3 0.351 0.332 2.8\n",
"35 長野 久義 G 0.270 21 9 0.331 0.331 2.7\n",
"12 雄平 S 0.307 32 2 0.342 0.329 2.1\n",
"32 今宮 健太 H 0.277 31 5 0.337 0.323 0.9\n",
"30 菊池 涼介 C 0.280 39 9 0.319 0.322 0.6\n",
"15 安部 友裕 C 0.303 29 1 0.349 0.320 0.0\n",
"51 平田 良介 D 0.244 29 6 0.326 0.320 0.0\n",
"52 ビシエド D 0.239 42 14 0.303 0.320 0.0\n",
"58 中田 翔 F 0.225 47 11 0.321 0.320 0.0\n",
"33 中島 宏之 Bs 0.274 26 4 0.346 0.317 -0.7\n",
"41 髙山 俊 T 0.263 20 5 0.318 0.308 -3.0\n",
"49 阿部 慎之助 G 0.249 42 10 0.312 0.306 -3.2\n",
"39 坂口 智隆 S 0.267 24 3 0.346 0.307 -3.7\n",
"47 中村 悠平 S 0.253 18 0 0.347 0.304 -3.7\n",
"22 小谷野 栄一 Bs 0.287 30 4 0.326 0.299 -5.4\n",
"38 中村 晃 H 0.268 18 1 0.347 0.301 -5.6\n",
"26 京田 陽太 D 0.286 17 1 0.317 0.298 -6.2\n",
"42 源田 壮亮 L 0.263 27 3 0.322 0.297 -7.0\n",
"54 外崎 修汰 L 0.234 27 7 0.292 0.286 -7.1\n",
"48 田中 賢介 F 0.251 13 2 0.332 0.284 -7.8\n",
"59 アマダー E 0.215 30 9 0.291 0.282 -8.0\n",
"57 大引 啓次 S 0.226 25 5 0.294 0.282 -8.3\n",
"60 安達 了一 Bs 0.196 10 1 0.304 0.258 -12.8\n",
"50 倉本 寿彦 DB 0.248 22 1 0.283 0.258 -16.3\n",
"61 小林 誠司 G 0.196 13 0 0.271 0.222 -21.2\n",
"\n",
"[62 rows x 8 columns]"
]
},
"execution_count": 14,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# 得点貢献してる選手上位を出す,最下位はあっ(察し\n",
"df[['name', 'team', 'AVG', 'RBI', 'HR', 'OBP', 'wOBA', 'wRAA']].sort_values([\"wRAA\", \"wOBA\"], ascending=(False, False))\n"
]
},
{
"cell_type": "code",
"execution_count": 15,
"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>name</th>\n",
" <th>team</th>\n",
" <th>AVG</th>\n",
" <th>RBI</th>\n",
" <th>HR</th>\n",
" <th>OBP</th>\n",
" <th>wOBA</th>\n",
" <th>wRAA</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>丸 佳浩</td>\n",
" <td>C</td>\n",
" <td>0.320</td>\n",
" <td>60</td>\n",
" <td>16</td>\n",
" <td>0.409</td>\n",
" <td>0.412</td>\n",
" <td>29.7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11</th>\n",
" <td>鈴木 誠也</td>\n",
" <td>C</td>\n",
" <td>0.307</td>\n",
" <td>67</td>\n",
" <td>17</td>\n",
" <td>0.386</td>\n",
" <td>0.397</td>\n",
" <td>24.2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>23</th>\n",
" <td>エルドレッド</td>\n",
" <td>C</td>\n",
" <td>0.287</td>\n",
" <td>61</td>\n",
" <td>21</td>\n",
" <td>0.379</td>\n",
" <td>0.402</td>\n",
" <td>19.4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>16</th>\n",
" <td>田中 広輔</td>\n",
" <td>C</td>\n",
" <td>0.297</td>\n",
" <td>40</td>\n",
" <td>3</td>\n",
" <td>0.389</td>\n",
" <td>0.355</td>\n",
" <td>11.8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>30</th>\n",
" <td>菊池 涼介</td>\n",
" <td>C</td>\n",
" <td>0.280</td>\n",
" <td>39</td>\n",
" <td>9</td>\n",
" <td>0.319</td>\n",
" <td>0.322</td>\n",
" <td>0.6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>15</th>\n",
" <td>安部 友裕</td>\n",
" <td>C</td>\n",
" <td>0.303</td>\n",
" <td>29</td>\n",
" <td>1</td>\n",
" <td>0.349</td>\n",
" <td>0.320</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" name team AVG RBI HR OBP wOBA wRAA\n",
"5 丸 佳浩 C 0.320 60 16 0.409 0.412 29.7\n",
"11 鈴木 誠也 C 0.307 67 17 0.386 0.397 24.2\n",
"23 エルドレッド C 0.287 61 21 0.379 0.402 19.4\n",
"16 田中 広輔 C 0.297 40 3 0.389 0.355 11.8\n",
"30 菊池 涼介 C 0.280 39 9 0.319 0.322 0.6\n",
"15 安部 友裕 C 0.303 29 1 0.349 0.320 0.0"
]
},
"execution_count": 15,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# 広島すごすぎでは!? ってことで広島のwRAA(ほぼ規定打席)のメンバーのwRAAを可視化してみる\n",
"df[['name', 'team', 'AVG', 'RBI', 'HR', 'OBP', 'wOBA', 'wRAA']].query('team==\"C\"').sort_values([\"wRAA\", \"wOBA\"], ascending=(False, False))"
]
},
{
"cell_type": "code",
"execution_count": 17,
"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>name</th>\n",
" <th>team</th>\n",
" <th>AVG</th>\n",
" <th>RBI</th>\n",
" <th>HR</th>\n",
" <th>OBP</th>\n",
" <th>wOBA</th>\n",
" <th>wRAA</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>14</th>\n",
" <td>西川 遥輝</td>\n",
" <td>F</td>\n",
" <td>0.304</td>\n",
" <td>24</td>\n",
" <td>5</td>\n",
" <td>0.386</td>\n",
" <td>0.351</td>\n",
" <td>9.6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>53</th>\n",
" <td>レアード</td>\n",
" <td>F</td>\n",
" <td>0.235</td>\n",
" <td>63</td>\n",
" <td>22</td>\n",
" <td>0.314</td>\n",
" <td>0.342</td>\n",
" <td>6.3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>58</th>\n",
" <td>中田 翔</td>\n",
" <td>F</td>\n",
" <td>0.225</td>\n",
" <td>47</td>\n",
" <td>11</td>\n",
" <td>0.321</td>\n",
" <td>0.320</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>48</th>\n",
" <td>田中 賢介</td>\n",
" <td>F</td>\n",
" <td>0.251</td>\n",
" <td>13</td>\n",
" <td>2</td>\n",
" <td>0.332</td>\n",
" <td>0.284</td>\n",
" <td>-7.8</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" name team AVG RBI HR OBP wOBA wRAA\n",
"14 西川 遥輝 F 0.304 24 5 0.386 0.351 9.6\n",
"53 レアード F 0.235 63 22 0.314 0.342 6.3\n",
"58 中田 翔 F 0.225 47 11 0.321 0.320 0.0\n",
"48 田中 賢介 F 0.251 13 2 0.332 0.284 -7.8"
]
},
"execution_count": 17,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# 一方その頃ファイターズはあっ(察し\n",
"df[['name', 'team', 'AVG', 'RBI', 'HR', 'OBP', 'wOBA', 'wRAA']].query('team==\"F\"').sort_values([\"wRAA\", \"wOBA\"], ascending=(False, False))"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x108419748>"
]
},
"execution_count": 18,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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qd1fVN5PclORpw8svTrK1qq6tql+a677W2p1Jnp1ka5Irqurkqjopg6MfHpfk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\nAABJRU5ErkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x1083eb6a0>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# wRAAをグラフにしてみる(広島)\n",
"df.query('team==\"C\"')[['name', 'team', 'AVG', 'RBI', 'HR', 'OBP', 'wOBA', 'wRAA']].plot.bar(y=['wRAA'], ylim=(-20, 30), x=['name'], alpha=1.0, figsize=(24,8), fontsize=24)"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x108799278>"
]
},
"execution_count": 19,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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scoJmibH7gCuBr9KMDnbTYQ01i75SjyXJHM0TwKeBh4AHgLuBXwI3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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x108798c50>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# wRAAをグラフにしてみる(日ハム)\n",
"df.query('team==\"F\"')[['name', 'team', 'AVG', 'RBI', 'HR', 'OBP', 'wOBA', 'wRAA']].plot.bar(y=['wRAA'], ylim=(-20, 30), x=['name'], alpha=1.0, figsize=(24,8), fontsize=24)"
]
},
{
"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": "3.6.2"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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