Skip to content

Instantly share code, notes, and snippets.

@Shinichi-Nakagawa

Shinichi-Nakagawa/daikan_yo.ipynb

Created December 4, 2016 13:33
Show Gist options
  • Save Shinichi-Nakagawa/bc78d598dbd21ba3c8e1d51e62868ed0 to your computer and use it in GitHub Desktop.
Save Shinichi-Nakagawa/bc78d598dbd21ba3c8e1d51e62868ed0 to your computer and use it in GitHub Desktop.
Download ZIP
陽岱鋼をセイバーメトリクスしてみよう
Display the source blob
Display the rendered blob
Raw
daikan_yo.ipynb
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"%matplotlib inline\n"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"import pandas\n",
"\n",
"# 表示列・行を増やす(30列, 10行)\n",
"\n",
"pandas.options.display.max_columns = 30\n",
"pandas.options.display.max_rows = 10\n"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"url = 'http://npb.jp/bis/players/21825112.html'\n",
"df = pandas.io.html.read_html(url)"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>0</th>\n",
" <th>1</th>\n",
" <th>2</th>\n",
" <th>3</th>\n",
" <th>4</th>\n",
" <th>5</th>\n",
" <th>6</th>\n",
" <th>7</th>\n",
" <th>8</th>\n",
" <th>9</th>\n",
" <th>10</th>\n",
" <th>11</th>\n",
" <th>12</th>\n",
" <th>13</th>\n",
" <th>14</th>\n",
" <th>15</th>\n",
" <th>16</th>\n",
" <th>17</th>\n",
" <th>18</th>\n",
" <th>19</th>\n",
" <th>20</th>\n",
" <th>21</th>\n",
" <th>22</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>年　度</td>\n",
" <td>所属球団</td>\n",
" <td>試　合</td>\n",
" <td>打　席</td>\n",
" <td>打　数</td>\n",
" <td>得　点</td>\n",
" <td>安　打</td>\n",
" <td>二塁打</td>\n",
" <td>三塁打</td>\n",
" <td>本塁打</td>\n",
" <td>塁　打</td>\n",
" <td>打　点</td>\n",
" <td>盗　塁</td>\n",
" <td>盗塁刺</td>\n",
" <td>犠　打</td>\n",
" <td>犠　飛</td>\n",
" <td>四　球</td>\n",
" <td>死　球</td>\n",
" <td>三　振</td>\n",
" <td>併殺打</td>\n",
" <td>打　率</td>\n",
" <td>長打率</td>\n",
" <td>出塁率</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>2007</td>\n",
" <td>北海道日本ハム</td>\n",
" <td>55</td>\n",
" <td>116</td>\n",
" <td>109</td>\n",
" <td>12</td>\n",
" <td>26</td>\n",
" <td>8</td>\n",
" <td>2</td>\n",
" <td>0</td>\n",
" <td>38</td>\n",
" <td>10</td>\n",
" <td>3</td>\n",
" <td>2</td>\n",
" <td>4</td>\n",
" <td>0</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>30</td>\n",
" <td>0</td>\n",
" <td>.239</td>\n",
" <td>.349</td>\n",
" <td>.259</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>2008</td>\n",
" <td>北海道日本ハム</td>\n",
" <td>44</td>\n",
" <td>123</td>\n",
" <td>111</td>\n",
" <td>7</td>\n",
" <td>16</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>2</td>\n",
" <td>24</td>\n",
" <td>4</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>4</td>\n",
" <td>1</td>\n",
" <td>6</td>\n",
" <td>1</td>\n",
" <td>31</td>\n",
" <td>3</td>\n",
" <td>.144</td>\n",
" <td>.216</td>\n",
" <td>.193</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>2009</td>\n",
" <td>北海道日本ハム</td>\n",
" <td>15</td>\n",
" <td>13</td>\n",
" <td>11</td>\n",
" <td>2</td>\n",
" <td>2</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>2</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" <td>0</td>\n",
" <td>.182</td>\n",
" <td>.182</td>\n",
" <td>.250</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>2010</td>\n",
" <td>北海道日本ハム</td>\n",
" <td>109</td>\n",
" <td>281</td>\n",
" <td>253</td>\n",
" <td>35</td>\n",
" <td>62</td>\n",
" <td>12</td>\n",
" <td>3</td>\n",
" <td>2</td>\n",
" <td>86</td>\n",
" <td>31</td>\n",
" <td>8</td>\n",
" <td>1</td>\n",
" <td>10</td>\n",
" <td>2</td>\n",
" <td>12</td>\n",
" <td>4</td>\n",
" <td>70</td>\n",
" <td>4</td>\n",
" <td>.245</td>\n",
" <td>.340</td>\n",
" <td>.288</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",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>2013</td>\n",
" <td>北海道日本ハム</td>\n",
" <td>144</td>\n",
" <td>658</td>\n",
" <td>574</td>\n",
" <td>93</td>\n",
" <td>162</td>\n",
" <td>27</td>\n",
" <td>2</td>\n",
" <td>18</td>\n",
" <td>247</td>\n",
" <td>67</td>\n",
" <td>47</td>\n",
" <td>10</td>\n",
" <td>4</td>\n",
" <td>2</td>\n",
" <td>69</td>\n",
" <td>9</td>\n",
" <td>142</td>\n",
" <td>9</td>\n",
" <td>.282</td>\n",
" <td>.430</td>\n",
" <td>.367</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>2014</td>\n",
" <td>北海道日本ハム</td>\n",
" <td>125</td>\n",
" <td>540</td>\n",
" <td>471</td>\n",
" <td>77</td>\n",
" <td>138</td>\n",
" <td>18</td>\n",
" <td>1</td>\n",
" <td>25</td>\n",
" <td>233</td>\n",
" <td>85</td>\n",
" <td>20</td>\n",
" <td>6</td>\n",
" <td>9</td>\n",
" <td>3</td>\n",
" <td>45</td>\n",
" <td>12</td>\n",
" <td>108</td>\n",
" <td>10</td>\n",
" <td>.293</td>\n",
" <td>.495</td>\n",
" <td>.367</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>2015</td>\n",
" <td>北海道日本ハム</td>\n",
" <td>86</td>\n",
" <td>381</td>\n",
" <td>352</td>\n",
" <td>47</td>\n",
" <td>91</td>\n",
" <td>10</td>\n",
" <td>2</td>\n",
" <td>7</td>\n",
" <td>126</td>\n",
" <td>36</td>\n",
" <td>14</td>\n",
" <td>2</td>\n",
" <td>2</td>\n",
" <td>2</td>\n",
" <td>21</td>\n",
" <td>4</td>\n",
" <td>93</td>\n",
" <td>4</td>\n",
" <td>.259</td>\n",
" <td>.358</td>\n",
" <td>.306</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10</th>\n",
" <td>2016</td>\n",
" <td>北海道日本ハム</td>\n",
" <td>130</td>\n",
" <td>555</td>\n",
" <td>495</td>\n",
" <td>66</td>\n",
" <td>145</td>\n",
" <td>24</td>\n",
" <td>1</td>\n",
" <td>14</td>\n",
" <td>213</td>\n",
" <td>61</td>\n",
" <td>5</td>\n",
" <td>6</td>\n",
" <td>7</td>\n",
" <td>1</td>\n",
" <td>42</td>\n",
" <td>10</td>\n",
" <td>121</td>\n",
" <td>10</td>\n",
" <td>.293</td>\n",
" <td>.430</td>\n",
" <td>.359</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11</th>\n",
" <td>NaN</td>\n",
" <td>通　算</td>\n",
" <td>993</td>\n",
" <td>3869</td>\n",
" <td>3446</td>\n",
" <td>476</td>\n",
" <td>942</td>\n",
" <td>150</td>\n",
" <td>21</td>\n",
" <td>81</td>\n",
" <td>1377</td>\n",
" <td>385</td>\n",
" <td>134</td>\n",
" <td>35</td>\n",
" <td>97</td>\n",
" <td>17</td>\n",
" <td>257</td>\n",
" <td>52</td>\n",
" <td>855</td>\n",
" <td>55</td>\n",
" <td>.273</td>\n",
" <td>.400</td>\n",
" <td>.332</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>12 rows × 23 columns</p>\n",
"</div>"
],
"text/plain": [
" 0 1 2 3 4 5 6 7 8 9 10 11 12 \\\n",
"0 年　度 所属球団 試　合 打　席 打　数 得　点 安　打 二塁打 三塁打 本塁打 塁　打 打　点 盗　塁 \n",
"1 2007 北海道日本ハム 55 116 109 12 26 8 2 0 38 10 3 \n",
"2 2008 北海道日本ハム 44 123 111 7 16 0 1 2 24 4 1 \n",
"3 2009 北海道日本ハム 15 13 11 2 2 0 0 0 2 0 0 \n",
"4 2010 北海道日本ハム 109 281 253 35 62 12 3 2 86 31 8 \n",
".. ... ... ... ... ... ... ... ... ... ... ... ... ... \n",
"7 2013 北海道日本ハム 144 658 574 93 162 27 2 18 247 67 47 \n",
"8 2014 北海道日本ハム 125 540 471 77 138 18 1 25 233 85 20 \n",
"9 2015 北海道日本ハム 86 381 352 47 91 10 2 7 126 36 14 \n",
"10 2016 北海道日本ハム 130 555 495 66 145 24 1 14 213 61 5 \n",
"11 NaN 通　算 993 3869 3446 476 942 150 21 81 1377 385 134 \n",
"\n",
" 13 14 15 16 17 18 19 20 21 22 \n",
"0 盗塁刺 犠　打 犠　飛 四　球 死　球 三　振 併殺打 打　率 長打率 出塁率 \n",
"1 2 4 0 2 1 30 0 .239 .349 .259 \n",
"2 0 4 1 6 1 31 3 .144 .216 .193 \n",
"3 0 1 0 1 0 3 0 .182 .182 .250 \n",
"4 1 10 2 12 4 70 4 .245 .340 .288 \n",
".. ... ... ... ... ... ... ... ... ... ... \n",
"7 10 4 2 69 9 142 9 .282 .430 .367 \n",
"8 6 9 3 45 12 108 10 .293 .495 .367 \n",
"9 2 2 2 21 4 93 4 .259 .358 .306 \n",
"10 6 7 1 42 10 121 10 .293 .430 .359 \n",
"11 35 97 17 257 52 855 55 .273 .400 .332 \n",
"\n",
"[12 rows x 23 columns]"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# ３つめのデータフレームが野手成績\n",
"df[3]"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"# ごみとなるデータを捨てて別のデータフレームに移動(indexおよび, 2010年以前の成績&通算)\n",
"atbats = df[3].drop([0, 1, 2, 3,4, 11])"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>0</th>\n",
" <th>1</th>\n",
" <th>2</th>\n",
" <th>3</th>\n",
" <th>4</th>\n",
" <th>5</th>\n",
" <th>6</th>\n",
" <th>7</th>\n",
" <th>8</th>\n",
" <th>9</th>\n",
" <th>10</th>\n",
" <th>11</th>\n",
" <th>12</th>\n",
" <th>13</th>\n",
" <th>14</th>\n",
" <th>15</th>\n",
" <th>16</th>\n",
" <th>17</th>\n",
" <th>18</th>\n",
" <th>19</th>\n",
" <th>20</th>\n",
" <th>21</th>\n",
" <th>22</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>2011</td>\n",
" <td>北海道日本ハム</td>\n",
" <td>141</td>\n",
" <td>603</td>\n",
" <td>537</td>\n",
" <td>66</td>\n",
" <td>147</td>\n",
" <td>23</td>\n",
" <td>4</td>\n",
" <td>6</td>\n",
" <td>196</td>\n",
" <td>36</td>\n",
" <td>19</td>\n",
" <td>2</td>\n",
" <td>38</td>\n",
" <td>1</td>\n",
" <td>22</td>\n",
" <td>5</td>\n",
" <td>134</td>\n",
" <td>5</td>\n",
" <td>.274</td>\n",
" <td>.365</td>\n",
" <td>.308</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>2012</td>\n",
" <td>北海道日本ハム</td>\n",
" <td>144</td>\n",
" <td>599</td>\n",
" <td>533</td>\n",
" <td>71</td>\n",
" <td>153</td>\n",
" <td>28</td>\n",
" <td>5</td>\n",
" <td>7</td>\n",
" <td>212</td>\n",
" <td>55</td>\n",
" <td>17</td>\n",
" <td>6</td>\n",
" <td>18</td>\n",
" <td>5</td>\n",
" <td>37</td>\n",
" <td>6</td>\n",
" <td>123</td>\n",
" <td>10</td>\n",
" <td>.287</td>\n",
" <td>.398</td>\n",
" <td>.337</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>2013</td>\n",
" <td>北海道日本ハム</td>\n",
" <td>144</td>\n",
" <td>658</td>\n",
" <td>574</td>\n",
" <td>93</td>\n",
" <td>162</td>\n",
" <td>27</td>\n",
" <td>2</td>\n",
" <td>18</td>\n",
" <td>247</td>\n",
" <td>67</td>\n",
" <td>47</td>\n",
" <td>10</td>\n",
" <td>4</td>\n",
" <td>2</td>\n",
" <td>69</td>\n",
" <td>9</td>\n",
" <td>142</td>\n",
" <td>9</td>\n",
" <td>.282</td>\n",
" <td>.430</td>\n",
" <td>.367</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>2014</td>\n",
" <td>北海道日本ハム</td>\n",
" <td>125</td>\n",
" <td>540</td>\n",
" <td>471</td>\n",
" <td>77</td>\n",
" <td>138</td>\n",
" <td>18</td>\n",
" <td>1</td>\n",
" <td>25</td>\n",
" <td>233</td>\n",
" <td>85</td>\n",
" <td>20</td>\n",
" <td>6</td>\n",
" <td>9</td>\n",
" <td>3</td>\n",
" <td>45</td>\n",
" <td>12</td>\n",
" <td>108</td>\n",
" <td>10</td>\n",
" <td>.293</td>\n",
" <td>.495</td>\n",
" <td>.367</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>2015</td>\n",
" <td>北海道日本ハム</td>\n",
" <td>86</td>\n",
" <td>381</td>\n",
" <td>352</td>\n",
" <td>47</td>\n",
" <td>91</td>\n",
" <td>10</td>\n",
" <td>2</td>\n",
" <td>7</td>\n",
" <td>126</td>\n",
" <td>36</td>\n",
" <td>14</td>\n",
" <td>2</td>\n",
" <td>2</td>\n",
" <td>2</td>\n",
" <td>21</td>\n",
" <td>4</td>\n",
" <td>93</td>\n",
" <td>4</td>\n",
" <td>.259</td>\n",
" <td>.358</td>\n",
" <td>.306</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10</th>\n",
" <td>2016</td>\n",
" <td>北海道日本ハム</td>\n",
" <td>130</td>\n",
" <td>555</td>\n",
" <td>495</td>\n",
" <td>66</td>\n",
" <td>145</td>\n",
" <td>24</td>\n",
" <td>1</td>\n",
" <td>14</td>\n",
" <td>213</td>\n",
" <td>61</td>\n",
" <td>5</td>\n",
" <td>6</td>\n",
" <td>7</td>\n",
" <td>1</td>\n",
" <td>42</td>\n",
" <td>10</td>\n",
" <td>121</td>\n",
" <td>10</td>\n",
" <td>.293</td>\n",
" <td>.430</td>\n",
" <td>.359</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 \\\n",
"5 2011 北海道日本ハム 141 603 537 66 147 23 4 6 196 36 19 2 38 1 \n",
"6 2012 北海道日本ハム 144 599 533 71 153 28 5 7 212 55 17 6 18 5 \n",
"7 2013 北海道日本ハム 144 658 574 93 162 27 2 18 247 67 47 10 4 2 \n",
"8 2014 北海道日本ハム 125 540 471 77 138 18 1 25 233 85 20 6 9 3 \n",
"9 2015 北海道日本ハム 86 381 352 47 91 10 2 7 126 36 14 2 2 2 \n",
"10 2016 北海道日本ハム 130 555 495 66 145 24 1 14 213 61 5 6 7 1 \n",
"\n",
" 16 17 18 19 20 21 22 \n",
"5 22 5 134 5 .274 .365 .308 \n",
"6 37 6 123 10 .287 .398 .337 \n",
"7 69 9 142 9 .282 .430 .367 \n",
"8 45 12 108 10 .293 .495 .367 \n",
"9 21 4 93 4 .259 .358 .306 \n",
"10 42 10 121 10 .293 .430 .359 "
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"atbats"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"#　カラム名を付与する(野球英語の略称)\n",
"atbats.columns = ['year', 'team', 'g', 'pa', 'ab', 'r', 'h', '_2b', '_3b', 'hr', 'tb', 'rbi', 'sb', 'cs', 'sh', 'sf', 'bb', 'hbp', 'so', 'dp', 'ba', 'slg', 'obp']"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>year</th>\n",
" <th>team</th>\n",
" <th>g</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>tb</th>\n",
" <th>rbi</th>\n",
" <th>sb</th>\n",
" <th>cs</th>\n",
" <th>sh</th>\n",
" <th>sf</th>\n",
" <th>bb</th>\n",
" <th>hbp</th>\n",
" <th>so</th>\n",
" <th>dp</th>\n",
" <th>ba</th>\n",
" <th>slg</th>\n",
" <th>obp</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>2011</td>\n",
" <td>北海道日本ハム</td>\n",
" <td>141</td>\n",
" <td>603</td>\n",
" <td>537</td>\n",
" <td>66</td>\n",
" <td>147</td>\n",
" <td>23</td>\n",
" <td>4</td>\n",
" <td>6</td>\n",
" <td>196</td>\n",
" <td>36</td>\n",
" <td>19</td>\n",
" <td>2</td>\n",
" <td>38</td>\n",
" <td>1</td>\n",
" <td>22</td>\n",
" <td>5</td>\n",
" <td>134</td>\n",
" <td>5</td>\n",
" <td>.274</td>\n",
" <td>.365</td>\n",
" <td>.308</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>2012</td>\n",
" <td>北海道日本ハム</td>\n",
" <td>144</td>\n",
" <td>599</td>\n",
" <td>533</td>\n",
" <td>71</td>\n",
" <td>153</td>\n",
" <td>28</td>\n",
" <td>5</td>\n",
" <td>7</td>\n",
" <td>212</td>\n",
" <td>55</td>\n",
" <td>17</td>\n",
" <td>6</td>\n",
" <td>18</td>\n",
" <td>5</td>\n",
" <td>37</td>\n",
" <td>6</td>\n",
" <td>123</td>\n",
" <td>10</td>\n",
" <td>.287</td>\n",
" <td>.398</td>\n",
" <td>.337</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>2013</td>\n",
" <td>北海道日本ハム</td>\n",
" <td>144</td>\n",
" <td>658</td>\n",
" <td>574</td>\n",
" <td>93</td>\n",
" <td>162</td>\n",
" <td>27</td>\n",
" <td>2</td>\n",
" <td>18</td>\n",
" <td>247</td>\n",
" <td>67</td>\n",
" <td>47</td>\n",
" <td>10</td>\n",
" <td>4</td>\n",
" <td>2</td>\n",
" <td>69</td>\n",
" <td>9</td>\n",
" <td>142</td>\n",
" <td>9</td>\n",
" <td>.282</td>\n",
" <td>.430</td>\n",
" <td>.367</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>2014</td>\n",
" <td>北海道日本ハム</td>\n",
" <td>125</td>\n",
" <td>540</td>\n",
" <td>471</td>\n",
" <td>77</td>\n",
" <td>138</td>\n",
" <td>18</td>\n",
" <td>1</td>\n",
" <td>25</td>\n",
" <td>233</td>\n",
" <td>85</td>\n",
" <td>20</td>\n",
" <td>6</td>\n",
" <td>9</td>\n",
" <td>3</td>\n",
" <td>45</td>\n",
" <td>12</td>\n",
" <td>108</td>\n",
" <td>10</td>\n",
" <td>.293</td>\n",
" <td>.495</td>\n",
" <td>.367</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>2015</td>\n",
" <td>北海道日本ハム</td>\n",
" <td>86</td>\n",
" <td>381</td>\n",
" <td>352</td>\n",
" <td>47</td>\n",
" <td>91</td>\n",
" <td>10</td>\n",
" <td>2</td>\n",
" <td>7</td>\n",
" <td>126</td>\n",
" <td>36</td>\n",
" <td>14</td>\n",
" <td>2</td>\n",
" <td>2</td>\n",
" <td>2</td>\n",
" <td>21</td>\n",
" <td>4</td>\n",
" <td>93</td>\n",
" <td>4</td>\n",
" <td>.259</td>\n",
" <td>.358</td>\n",
" <td>.306</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10</th>\n",
" <td>2016</td>\n",
" <td>北海道日本ハム</td>\n",
" <td>130</td>\n",
" <td>555</td>\n",
" <td>495</td>\n",
" <td>66</td>\n",
" <td>145</td>\n",
" <td>24</td>\n",
" <td>1</td>\n",
" <td>14</td>\n",
" <td>213</td>\n",
" <td>61</td>\n",
" <td>5</td>\n",
" <td>6</td>\n",
" <td>7</td>\n",
" <td>1</td>\n",
" <td>42</td>\n",
" <td>10</td>\n",
" <td>121</td>\n",
" <td>10</td>\n",
" <td>.293</td>\n",
" <td>.430</td>\n",
" <td>.359</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" year team g pa ab r h _2b _3b hr tb rbi sb cs sh sf \\\n",
"5 2011 北海道日本ハム 141 603 537 66 147 23 4 6 196 36 19 2 38 1 \n",
"6 2012 北海道日本ハム 144 599 533 71 153 28 5 7 212 55 17 6 18 5 \n",
"7 2013 北海道日本ハム 144 658 574 93 162 27 2 18 247 67 47 10 4 2 \n",
"8 2014 北海道日本ハム 125 540 471 77 138 18 1 25 233 85 20 6 9 3 \n",
"9 2015 北海道日本ハム 86 381 352 47 91 10 2 7 126 36 14 2 2 2 \n",
"10 2016 北海道日本ハム 130 555 495 66 145 24 1 14 213 61 5 6 7 1 \n",
"\n",
" bb hbp so dp ba slg obp \n",
"5 22 5 134 5 .274 .365 .308 \n",
"6 37 6 123 10 .287 .398 .337 \n",
"7 69 9 142 9 .282 .430 .367 \n",
"8 45 12 108 10 .293 .495 .367 \n",
"9 21 4 93 4 .259 .358 .306 \n",
"10 42 10 121 10 .293 .430 .359 "
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"atbats"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"# 各カラムを前処理する\n",
"import numpy as np\n",
"atbats['year'] = atbats['year'].fillna(0).astype(np.float64)\n",
"atbats['g'] = atbats['g'].fillna(0).astype(np.float64)\n",
"atbats['pa'] = atbats['pa'].fillna(0).astype(np.float64)\n",
"atbats['ab'] = atbats['ab'].fillna(0).astype(np.float64)\n",
"atbats['r'] = atbats['r'].fillna(0).astype(np.float64)\n",
"atbats['h'] = atbats['h'].fillna(0).astype(np.float64)\n",
"atbats['_2b'] = atbats['_2b'].fillna(0).astype(np.float64)\n",
"atbats['_3b'] = atbats['_3b'].fillna(0).astype(np.float64)\n",
"atbats['hr'] = atbats['hr'].fillna(0).astype(np.float64)\n",
"atbats['tb'] = atbats['tb'].fillna(0).astype(np.float64)\n",
"atbats['rbi'] = atbats['rbi'].fillna(0).astype(np.float64)\n",
"atbats['sb'] = atbats['sb'].fillna(0).astype(np.float64)\n",
"atbats['cs'] = atbats['cs'].fillna(0).astype(np.float64)\n",
"atbats['sh'] = atbats['tb'].fillna(0).astype(np.float64)\n",
"atbats['sf'] = atbats['sf'].fillna(0).astype(np.float64)\n",
"atbats['bb'] = atbats['bb'].fillna(0).astype(np.float64)\n",
"atbats['hbp'] = atbats['hbp'].fillna(0).astype(np.float64)\n",
"atbats['so'] = atbats['so'].fillna(0).astype(np.float64)\n",
"atbats['dp'] = atbats['dp'].fillna(0).astype(np.float64)\n",
"atbats['ba'] = atbats['ba'].fillna(0).astype(np.float64)\n",
"atbats['slg'] = atbats['slg'].fillna(0).astype(np.float64)\n",
"atbats['obp'] = atbats['obp'].fillna(0).astype(np.float64)\n"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>year</th>\n",
" <th>team</th>\n",
" <th>g</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>tb</th>\n",
" <th>rbi</th>\n",
" <th>sb</th>\n",
" <th>cs</th>\n",
" <th>sh</th>\n",
" <th>sf</th>\n",
" <th>bb</th>\n",
" <th>hbp</th>\n",
" <th>so</th>\n",
" <th>dp</th>\n",
" <th>ba</th>\n",
" <th>slg</th>\n",
" <th>obp</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>2011.0</td>\n",
" <td>北海道日本ハム</td>\n",
" <td>141.0</td>\n",
" <td>603.0</td>\n",
" <td>537.0</td>\n",
" <td>66.0</td>\n",
" <td>147.0</td>\n",
" <td>23.0</td>\n",
" <td>4.0</td>\n",
" <td>6.0</td>\n",
" <td>196.0</td>\n",
" <td>36.0</td>\n",
" <td>19.0</td>\n",
" <td>2.0</td>\n",
" <td>196.0</td>\n",
" <td>1.0</td>\n",
" <td>22.0</td>\n",
" <td>5.0</td>\n",
" <td>134.0</td>\n",
" <td>5.0</td>\n",
" <td>0.274</td>\n",
" <td>0.365</td>\n",
" <td>0.308</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>2012.0</td>\n",
" <td>北海道日本ハム</td>\n",
" <td>144.0</td>\n",
" <td>599.0</td>\n",
" <td>533.0</td>\n",
" <td>71.0</td>\n",
" <td>153.0</td>\n",
" <td>28.0</td>\n",
" <td>5.0</td>\n",
" <td>7.0</td>\n",
" <td>212.0</td>\n",
" <td>55.0</td>\n",
" <td>17.0</td>\n",
" <td>6.0</td>\n",
" <td>212.0</td>\n",
" <td>5.0</td>\n",
" <td>37.0</td>\n",
" <td>6.0</td>\n",
" <td>123.0</td>\n",
" <td>10.0</td>\n",
" <td>0.287</td>\n",
" <td>0.398</td>\n",
" <td>0.337</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>2013.0</td>\n",
" <td>北海道日本ハム</td>\n",
" <td>144.0</td>\n",
" <td>658.0</td>\n",
" <td>574.0</td>\n",
" <td>93.0</td>\n",
" <td>162.0</td>\n",
" <td>27.0</td>\n",
" <td>2.0</td>\n",
" <td>18.0</td>\n",
" <td>247.0</td>\n",
" <td>67.0</td>\n",
" <td>47.0</td>\n",
" <td>10.0</td>\n",
" <td>247.0</td>\n",
" <td>2.0</td>\n",
" <td>69.0</td>\n",
" <td>9.0</td>\n",
" <td>142.0</td>\n",
" <td>9.0</td>\n",
" <td>0.282</td>\n",
" <td>0.430</td>\n",
" <td>0.367</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>2014.0</td>\n",
" <td>北海道日本ハム</td>\n",
" <td>125.0</td>\n",
" <td>540.0</td>\n",
" <td>471.0</td>\n",
" <td>77.0</td>\n",
" <td>138.0</td>\n",
" <td>18.0</td>\n",
" <td>1.0</td>\n",
" <td>25.0</td>\n",
" <td>233.0</td>\n",
" <td>85.0</td>\n",
" <td>20.0</td>\n",
" <td>6.0</td>\n",
" <td>233.0</td>\n",
" <td>3.0</td>\n",
" <td>45.0</td>\n",
" <td>12.0</td>\n",
" <td>108.0</td>\n",
" <td>10.0</td>\n",
" <td>0.293</td>\n",
" <td>0.495</td>\n",
" <td>0.367</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>2015.0</td>\n",
" <td>北海道日本ハム</td>\n",
" <td>86.0</td>\n",
" <td>381.0</td>\n",
" <td>352.0</td>\n",
" <td>47.0</td>\n",
" <td>91.0</td>\n",
" <td>10.0</td>\n",
" <td>2.0</td>\n",
" <td>7.0</td>\n",
" <td>126.0</td>\n",
" <td>36.0</td>\n",
" <td>14.0</td>\n",
" <td>2.0</td>\n",
" <td>126.0</td>\n",
" <td>2.0</td>\n",
" <td>21.0</td>\n",
" <td>4.0</td>\n",
" <td>93.0</td>\n",
" <td>4.0</td>\n",
" <td>0.259</td>\n",
" <td>0.358</td>\n",
" <td>0.306</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10</th>\n",
" <td>2016.0</td>\n",
" <td>北海道日本ハム</td>\n",
" <td>130.0</td>\n",
" <td>555.0</td>\n",
" <td>495.0</td>\n",
" <td>66.0</td>\n",
" <td>145.0</td>\n",
" <td>24.0</td>\n",
" <td>1.0</td>\n",
" <td>14.0</td>\n",
" <td>213.0</td>\n",
" <td>61.0</td>\n",
" <td>5.0</td>\n",
" <td>6.0</td>\n",
" <td>213.0</td>\n",
" <td>1.0</td>\n",
" <td>42.0</td>\n",
" <td>10.0</td>\n",
" <td>121.0</td>\n",
" <td>10.0</td>\n",
" <td>0.293</td>\n",
" <td>0.430</td>\n",
" <td>0.359</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" year team g pa ab r h _2b _3b hr tb \\\n",
"5 2011.0 北海道日本ハム 141.0 603.0 537.0 66.0 147.0 23.0 4.0 6.0 196.0 \n",
"6 2012.0 北海道日本ハム 144.0 599.0 533.0 71.0 153.0 28.0 5.0 7.0 212.0 \n",
"7 2013.0 北海道日本ハム 144.0 658.0 574.0 93.0 162.0 27.0 2.0 18.0 247.0 \n",
"8 2014.0 北海道日本ハム 125.0 540.0 471.0 77.0 138.0 18.0 1.0 25.0 233.0 \n",
"9 2015.0 北海道日本ハム 86.0 381.0 352.0 47.0 91.0 10.0 2.0 7.0 126.0 \n",
"10 2016.0 北海道日本ハム 130.0 555.0 495.0 66.0 145.0 24.0 1.0 14.0 213.0 \n",
"\n",
" rbi sb cs sh sf bb hbp so dp ba slg obp \n",
"5 36.0 19.0 2.0 196.0 1.0 22.0 5.0 134.0 5.0 0.274 0.365 0.308 \n",
"6 55.0 17.0 6.0 212.0 5.0 37.0 6.0 123.0 10.0 0.287 0.398 0.337 \n",
"7 67.0 47.0 10.0 247.0 2.0 69.0 9.0 142.0 9.0 0.282 0.430 0.367 \n",
"8 85.0 20.0 6.0 233.0 3.0 45.0 12.0 108.0 10.0 0.293 0.495 0.367 \n",
"9 36.0 14.0 2.0 126.0 2.0 21.0 4.0 93.0 4.0 0.259 0.358 0.306 \n",
"10 61.0 5.0 6.0 213.0 1.0 42.0 10.0 121.0 10.0 0.293 0.430 0.359 "
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# 中身をもう一度見てみる\n",
"atbats"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"5 0.274\n",
"6 0.287\n",
"7 0.282\n",
"8 0.293\n",
"9 0.259\n",
"10 0.293\n",
"Name: ba, dtype: float64"
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# カラムのデータ型が合ってるか,打率(ba:batting average)で見てみる\n",
"atbats['ba']"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"# 良さそうなので試しにグラフを描く(seabornで)\n",
"import seaborn as sns"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x10879dba8>"
]
},
"execution_count": 13,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": "iVBORw0KGgoAAAANSUhEUgAAArkAAAHxCAYAAABpvaQoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAAAASUVORK5CYII=\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x10879d438>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# 打率(ba, batting average)を折れ線グラフに\n",
"sns.pointplot(x=\"year\", y=\"ba\", data=atbats)"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"pandas.core.frame.DataFrame"
]
},
"execution_count": 14,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"type(df[3])"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"# OPSとBB/Kを計算する\n",
"\n",
"atbats['ops'] = atbats['obp'] + atbats['slg']\n",
"atbats['bb_k'] = atbats['bb'] / atbats['so']"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"5 0.673\n",
"6 0.735\n",
"7 0.797\n",
"8 0.862\n",
"9 0.664\n",
"10 0.789\n",
"Name: ops, dtype: float64"
]
},
"execution_count": 16,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"atbats['ops']"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x108829be0>"
]
},
"execution_count": 17,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": "iVBORw0KGgoAAAANSUhEUgAAArkAAAHxCAYAAABpvaQoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nWZbJVnBig/gAAAAASUVORK5CYII=\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x1088aac50>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# OPS\n",
"sns.pointplot(x=\"year\", y=\"ops\", data=atbats)"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"5 0.164179\n",
"6 0.300813\n",
"7 0.485915\n",
"8 0.416667\n",
"9 0.225806\n",
"10 0.347107\n",
"Name: bb_k, dtype: float64"
]
},
"execution_count": 18,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"atbats['bb_k']"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x108a85b38>"
]
},
"execution_count": 19,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": "iVBORw0KGgoAAAANSUhEUgAAArIAAAHqCAYAAAD4TK2HAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x10883df60>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# BB/K\n",
"sns.pointplot(x=\"year\", y=\"bb_k\", data=atbats)"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"# K/BB\n",
"atbats['k_bb'] = atbats['so'] / atbats['bb']"
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"5 6.090909\n",
"6 3.324324\n",
"7 2.057971\n",
"8 2.400000\n",
"9 4.428571\n",
"10 2.880952\n",
"Name: k_bb, dtype: float64"
]
},
"execution_count": 21,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"atbats['k_bb'] "
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x106d512e8>"
]
},
"execution_count": 22,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": "iVBORw0KGgoAAAANSUhEUgAAAqYAAAHxCAYAAAC/GH5NAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nLQAAAABJRU5ErkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x108af36a0>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# K/BB\n",
"sns.pointplot(x=\"year\", y=\"k_bb\", data=atbats)"
]
},
{
"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": "3.5.2"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment