1
我正在尋找一種使用jquery.tablesorter篩選器部件來搜索多個列的方法。Jquery Tablesorter：多列篩選器
考慮以下表：
<table id="match-table" class="table table-striped limit-height tablesorter">
<thead>
<tr>
<th>Match</th>
<th>Matchtime</th>
<th>Red1</th>
<th>Red2</th>
<th>Red3</th>
<th>Blue1</th>
<th>Blue2</th>
<th>Blue3</th>
<th>Blue Score</th>
<th>Red Score</th>
</tr>
</thead>
<tbody>
<tr data-row-number="1">
<td>1</td>
<td>09:00</td>
<td>1710</td>
<td>2357</td>
<td>937</td>
<td>1939</td>
<td>1764</td>
<td>1775</td>
<td>3</td>
<td>56</td>
</tr>
<tr data-row-number="2">
<td>2</td>
<td>09:10</td>
<td>1827</td>
<td>2353</td>
<td>5013</td>
<td>2346</td>
<td>5268</td>
<td>5476</td>
<td>21</td>
<td>27</td>
</tr>
<tr data-row-number="3">
<td>3</td>
<td>09:20</td>
<td>5126</td>
<td>2457</td>
<td>1847</td>
<td>5141</td>
<td>4809</td>
<td>5119</td>
<td>0</td>
<td>40</td>
</tr>
<tr data-row-number="4">
<td>4</td>
<td>09:30</td>
<td>2874</td>
<td>4522</td>
<td>1810</td>
<td>5098</td>
<td>1984</td>
<td>3792</td>
<td>6</td>
<td>64</td>
</tr>
<tr data-row-number="5">
<td>5</td>
<td>09:40</td>
<td>1777</td>
<td>1806</td>
<td>2410</td>
<td>2167</td>
<td>3485</td>
<td>3528</td>
<td>0</td>
<td>62</td>
</tr>
<tr data-row-number="6">
<td>6</td>
<td>09:50</td>
<td>1730</td>
<td>5082</td>
<td>4455</td>
<td>1763</td>
<td>1825</td>
<td>1769</td>
<td>57</td>
<td>90</td>
</tr>
<tr data-row-number="7">
<td>7</td>
<td>10:00</td>
<td>1785</td>
<td>1329</td>
<td>2335</td>
<td>1997</td>
<td>4646</td>
<td>2001</td>
<td>8</td>
<td>56</td>
</tr>
<tr data-row-number="8">
<td>8</td>
<td>10:10</td>
<td>2164</td>
<td>1987</td>
<td>1288</td>
<td>4959</td>
<td>1737</td>
<td>2345</td>
<td>0</td>
<td>32</td>
</tr>
<tr data-row-number="9">
<td>9</td>
<td>10:20</td>
<td>1994</td>
<td>1723</td>
<td>1982</td>
<td>1802</td>
<td>2560</td>
<td>938</td>
<td>15</td>
<td>8</td>
</tr>
<tr data-row-number="10">
<td>10</td>
<td>10:30</td>
<td>1710</td>
<td>1810</td>
<td>1775</td>
<td>4522</td>
<td>5126</td>
<td>5141</td>
<td>52</td>
<td>16</td>
</tr>
<tr data-row-number="11">
<td>11</td>
<td>10:40</td>
<td>4809</td>
<td>1984</td>
<td>5268</td>
<td>4455</td>
<td>1939</td>
<td>2410</td>
<td>61</td>
<td>34</td>
</tr>
<tr data-row-number="12">
<td>12</td>
<td>10:50</td>
<td>2346</td>
<td>3528</td>
<td>1329</td>
<td>5082</td>
<td>1825</td>
<td>2335</td>
<td>20</td>
<td>33</td>
</tr>
<tr data-row-number="13">
<td>13</td>
<td>11:00</td>
<td>1730</td>
<td>2167</td>
<td>1764</td>
<td>1847</td>
<td>4959</td>
<td>2353</td>
<td>9</td>
<td>96</td>
</tr>
<tr data-row-number="14">
<td>14</td>
<td>11:10</td>
<td>5098</td>
<td>2345</td>
<td>2001</td>
<td>4646</td>
<td>938</td>
<td>1806</td>
<td>73</td>
<td>14</td>
</tr>
<tr data-row-number="15">
<td>15</td>
<td>11:20</td>
<td>1737</td>
<td>3485</td>
<td>1785</td>
<td>5476</td>
<td>1763</td>
<td>2357</td>
<td>62</td>
<td>78</td>
</tr>
<tr data-row-number="16">
<td>16</td>
<td>11:30</td>
<td>2560</td>
<td>1288</td>
<td>2457</td>
<td>2874</td>
<td>1802</td>
<td>937</td>
<td>4</td>
<td>54</td>
</tr>
<tr data-row-number="17">
<td>17</td>
<td>11:40</td>
<td>1982</td>
<td>1997</td>
<td>2164</td>
<td>1777</td>
<td>1994</td>
<td>1769</td>
<td>8</td>
<td>12</td>
</tr>
<tr data-row-number="18">
<td>18</td>
<td>11:50</td>
<td>5119</td>
<td>3792</td>
<td>5013</td>
<td>1723</td>
<td>1827</td>
<td>1987</td>
<td>47</td>
<td>27</td>
</tr>
<tr data-row-number="19">
<td>19</td>
<td>12:00</td>
<td>2345</td>
<td>2353</td>
<td>1806</td>
<td>2335</td>
<td>4809</td>
<td>4522</td>
<td>52</td>
<td>12</td>
</tr>
<tr data-row-number="20">
<td>20</td>
<td>12:10</td>
<td>5126</td>
<td>938</td>
<td>4959</td>
<td>2357</td>
<td>1984</td>
<td>1737</td>
<td>20</td>
<td>40</td>
</tr>
<tr data-row-number="21">
<td>21</td>
<td>12:20</td>
<td>2001</td>
<td>5268</td>
<td>1730</td>
<td>5098</td>
<td>1764</td>
<td>2457</td>
<td>48</td>
<td>80</td>
</tr>
<tr data-row-number="22">
<td>22</td>
<td>12:30</td>
<td>3485</td>
<td>5141</td>
<td>1763</td>
<td>1994</td>
<td>1939</td>
<td>1288</td>
<td>31</td>
<td>5</td>
</tr>
<tr data-row-number="23">
<td>23</td>
<td>12:40</td>
<td>1329</td>
<td>1723</td>
<td>1825</td>
<td>5476</td>
<td>1847</td>
<td>1769</td>
<td>4</td>
<td>78</td>
</tr>
<tr data-row-number="24">
<td>24</td>
<td>12:50</td>
<td>4646</td>
<td>3792</td>
<td>1802</td>
<td>5082</td>
<td>1710</td>
<td>2164</td>
<td>37</td>
<td>32</td>
</tr>
<tr data-row-number="25">
<td>25</td>
<td>13:00</td>
<td>1827</td>
<td>1982</td>
<td>2346</td>
<td>2410</td>
<td>1810</td>
<td>937</td>
<td>30</td>
<td>9</td>
</tr>
<tr data-row-number="26">
<td>26</td>
<td>13:10</td>
<td>1777</td>
<td>5013</td>
<td>1987</td>
<td>2560</td>
<td>1785</td>
<td>1775</td>
<td>79</td>
<td>50</td>
</tr>
<tr data-row-number="27">
<td>27</td>
<td>13:20</td>
<td>1997</td>
<td>2167</td>
<td>2874</td>
<td>4455</td>
<td>5119</td>
<td>3528</td>
<td>8</td>
<td>23</td>
</tr>
<tr data-row-number="28">
<td>28</td>
<td>13:30</td>
<td>2335</td>
<td>1939</td>
<td>5268</td>
<td>1288</td>
<td>1723</td>
<td>1847</td>
<td>52</td>
<td>26</td>
</tr>
<tr data-row-number="29">
<td>29</td>
<td>13:40</td>
<td>3485</td>
<td>5476</td>
<td>1984</td>
<td>1710</td>
<td>1769</td>
<td>2001</td>
<td>13</td>
<td>18</td>
</tr>
<tr data-row-number="30">
<td>30</td>
<td>13:50</td>
<td>1737</td>
<td>5126</td>
<td>3792</td>
<td>1730</td>
<td>1806</td>
<td>1329</td>
<td>186</td>
<td>60</td>
</tr>
<tr data-row-number="31">
<td>31</td>
<td>14:00</td>
<td>4809</td>
<td>1987</td>
<td>5082</td>
<td>5098</td>
<td>1810</td>
<td>938</td>
<td>27</td>
<td>21</td>
</tr>
<tr data-row-number="32">
<td>32</td>
<td>14:10</td>
<td>4455</td>
<td>4959</td>
<td>1764</td>
<td>1785</td>
<td>1802</td>
<td>1982</td>
<td>48</td>
<td>44</td>
</tr>
<tr data-row-number="33">
<td>33</td>
<td>14:20</td>
<td>5013</td>
<td>4522</td>
<td>2164</td>
<td>3528</td>
<td>937</td>
<td>1997</td>
<td>51</td>
<td>124</td>
</tr>
<tr data-row-number="34">
<td>34</td>
<td>14:30</td>
<td>1763</td>
<td>1827</td>
<td>2560</td>
<td>5141</td>
<td>2167</td>
<td>2345</td>
<td>0</td>
<td>14</td>
</tr>
<tr data-row-number="35">
<td>35</td>
<td>14:40</td>
<td>2410</td>
<td>1775</td>
<td>2353</td>
<td>2874</td>
<td>2457</td>
<td>1825</td>
<td>43</td>
<td>51</td>
</tr>
<tr data-row-number="36">
<td>36</td>
<td>14:50</td>
<td>1994</td>
<td>2346</td>
<td>2357</td>
<td>4646</td>
<td>1777</td>
<td>5119</td>
<td>55</td>
<td>29</td>
</tr>
<tr data-row-number="37">
<td>37</td>
<td>15:00</td>
<td>1288</td>
<td>4455</td>
<td>1984</td>
<td>1730</td>
<td>5476</td>
<td>1987</td>
<td>8</td>
<td>50</td>
</tr>
<tr data-row-number="38">
<td>38</td>
<td>15:10</td>
<td>1802</td>
<td>1764</td>
<td>2001</td>
<td>5013</td>
<td>5126</td>
<td>4809</td>
<td></td>
<td>9</td>
</tr>
<tr data-row-number="39">
<td>39</td>
<td>15:20</td>
<td>1810</td>
<td>5141</td>
<td>1769</td>
<td>4959</td>
<td>1806</td>
<td>3528</td>
<td></td>
<td></td>
</tr>
<tr data-row-number="40">
<td>40</td>
<td>15:30</td>
<td>1997</td>
<td>938</td>
<td>1827</td>
<td>1825</td>
<td>1939</td>
<td>2560</td>
<td></td>
<td></td>
</tr>
<tr data-row-number="41">
<td>41</td>
<td>15:40</td>
<td>2345</td>
<td>4646</td>
<td>1785</td>
<td>2410</td>
<td>3792</td>
<td>2457</td>
<td></td>
<td></td>
</tr>
<tr data-row-number="42">
<td>42</td>
<td>15:50</td>
<td>2353</td>
<td>1994</td>
<td>1737</td>
<td>5082</td>
<td>937</td>
<td>1723</td>
<td></td>
<td></td>
</tr>
<tr data-row-number="43">
<td>43</td>
<td>16:00</td>
<td>5268</td>
<td>2874</td>
<td>1710</td>
<td>1329</td>
<td>1763</td>
<td>1777</td>
<td></td>
<td></td>
</tr>
<tr data-row-number="44">
<td>44</td>
<td>16:10</td>
<td>5119</td>
<td>2335</td>
<td>3485</td>
<td>4522</td>
<td>2167</td>
<td>1982</td>
<td></td>
<td></td>
</tr>
<tr data-row-number="45">
<td>45</td>
<td>16:20</td>
<td>2357</td>
<td>1775</td>
<td>5098</td>
<td>2346</td>
<td>1847</td>
<td>2164</td>
<td></td>
<td></td>
</tr>
<tr data-row-number="46">
<td>46</td>
<td>16:30</td>
<td>1288</td>
<td>1825</td>
<td>3528</td>
<td>4809</td>
<td>2001</td>
<td>3792</td>
<td></td>
<td></td>
</tr>
<tr data-row-number="47">
<td>47</td>
<td>16:40</td>
<td>5476</td>
<td>2457</td>
<td>1806</td>
<td>4959</td>
<td>5082</td>
<td>1997</td>
<td></td>
<td></td>
</tr>
<tr data-row-number="48">
<td>48</td>
<td>16:50</td>
<td>1763</td>
<td>1810</td>
<td>2345</td>
<td>1777</td>
<td>1723</td>
<td>1764</td>
<td></td>
<td></td>
</tr>
<tr data-row-number="49">
<td>49</td>
<td>17:00</td>
<td>1710</td>
<td>4646</td>
<td>5126</td>
<td>5268</td>
<td>4455</td>
<td>2560</td>
<td></td>
<td></td>
</tr>
<tr data-row-number="50">
<td>50</td>
<td>17:10</td>
<td>2353</td>
<td>2346</td>
<td>5119</td>
<td>5141</td>
<td>2164</td>
<td>1984</td>
<td></td>
<td></td>
</tr>
</tbody>
</table>
我想，這樣，優選地使用BUIT函數，它將通過圖5和6搜索列3至7，爲2組，但留下，2欄1， 9和10作爲自己的搜索。
例如，如果我將4646放入Blue1列中，它也會搜索Blue2和Blue3。
現在我用下面javscript：
$('#match-table').tablesorter({
theme: 'bootstrap',
headerTemplate: '{content} {icon}',
widgets: ['filter']
});