<table class="table table-bordered table-hover table-condensed">
<thead><tr><th title="Field #1">year</th>
<th title="Field #2">primary_type</th>
<th title="Field #3">Number_of_Incidents</th>
<th title="Field #4">number_of_arrests</th>
<th title="Field #5">percent_arrest</th>
<th title="Field #6">rank</th>
</tr></thead>
<tbody><tr>
<td align="right">2018</td>
<td>THEFT</td>
<td align="right">57330</td>
<td align="right">5503</td>
<td align="right">9.6</td>
<td align="right">1</td>
</tr>
<tr>
<td align="right">2018</td>
<td>BATTERY</td>
<td align="right">44667</td>
<td align="right">8886</td>
<td align="right">19.89</td>
<td align="right">2</td>
</tr>
<tr>
<td align="right">2018</td>
<td>CRIMINAL DAMAGE</td>
<td align="right">24889</td>
<td align="right">1498</td>
<td align="right">6.02</td>
<td align="right">3</td>
</tr>
<tr>
<td align="right">2018</td>
<td>ASSAULT</td>
<td align="right">18229</td>
<td align="right">2931</td>
<td align="right">16.08</td>
<td align="right">4</td>
</tr>
<tr>
<td align="right">2018</td>
<td>DECEPTIVE PRACTICE</td>
<td align="right">15879</td>
<td align="right">713</td>
<td align="right">4.49</td>
<td align="right">5</td>
</tr>
<tr>
<td align="right">2017</td>
<td>THEFT</td>
<td align="right">64334</td>
<td align="right">6459</td>
<td align="right">10.04</td>
<td align="right">1</td>
</tr>
<tr>
<td align="right">2017</td>
<td>BATTERY</td>
<td align="right">49213</td>
<td align="right">10060</td>
<td align="right">20.44</td>
<td align="right">2</td>
</tr>
<tr>
<td align="right">2017</td>
<td>CRIMINAL DAMAGE</td>
<td align="right">29040</td>
<td align="right">1747</td>
<td align="right">6.02</td>
<td align="right">3</td>
</tr>
<tr>
<td align="right">2017</td>
<td>ASSAULT</td>
<td align="right">19298</td>
<td align="right">3455</td>
<td align="right">17.9</td>
<td align="right">4</td>
</tr>
<tr>
<td align="right">2017</td>
<td>DECEPTIVE PRACTICE</td>
<td align="right">18816</td>
<td align="right">805</td>
<td align="right">4.28</td>
<td align="right">5</td>
</tr>
<tr>
<td align="right">2016</td>
<td>THEFT</td>
<td align="right">61600</td>
<td align="right">6518</td>
<td align="right">10.58</td>
<td align="right">1</td>
</tr>
<tr>
<td align="right">2016</td>
<td>BATTERY</td>
<td align="right">50292</td>
<td align="right">10328</td>
<td align="right">20.54</td>
<td align="right">2</td>
</tr>
<tr>
<td align="right">2016</td>
<td>CRIMINAL DAMAGE</td>
<td align="right">31018</td>
<td align="right">1668</td>
<td align="right">5.38</td>
<td align="right">3</td>
</tr>
<tr>
<td align="right">2016</td>
<td>ASSAULT</td>
<td align="right">18738</td>
<td align="right">3490</td>
<td align="right">18.63</td>
<td align="right">4</td>
</tr>
<tr>
<td align="right">2016</td>
<td>DECEPTIVE PRACTICE</td>
<td align="right">18733</td>
<td align="right">815</td>
<td align="right">4.35</td>
<td align="right">5</td>
</tr>
<tr>
<td align="right">2015</td>
<td>THEFT</td>
<td align="right">57335</td>
<td align="right">6771</td>
<td align="right">11.81</td>
<td align="right">1</td>
</tr>
<tr>
<td align="right">2015</td>
<td>BATTERY</td>
<td align="right">48918</td>
<td align="right">11558</td>
<td align="right">23.63</td>
<td align="right">2</td>
</tr>
<tr>
<td align="right">2015</td>
<td>CRIMINAL DAMAGE</td>
<td align="right">28675</td>
<td align="right">1835</td>
<td align="right">6.4</td>
<td align="right">3</td>
</tr>
<tr>
<td align="right">2015</td>
<td>NARCOTICS</td>
<td align="right">23883</td>
<td align="right">23875</td>
<td align="right">99.97</td>
<td align="right">4</td>
</tr>
<tr>
<td align="right">2015</td>
<td>OTHER OFFENSE</td>
<td align="right">17552</td>
<td align="right">4795</td>
<td align="right">27.32</td>
<td align="right">5</td>
</tr>
<tr>
<td align="right">2014</td>
<td>THEFT</td>
<td align="right">61561</td>
<td align="right">7415</td>
<td align="right">12.04</td>
<td align="right">1</td>
</tr>
<tr>
<td align="right">2014</td>
<td>BATTERY</td>
<td align="right">49447</td>
<td align="right">12517</td>
<td align="right">25.31</td>
<td align="right">2</td>
</tr>
<tr>
<td align="right">2014</td>
<td>NARCOTICS</td>
<td align="right">29116</td>
<td align="right">29000</td>
<td align="right">99.6</td>
<td align="right">3</td>
</tr>
<tr>
<td align="right">2014</td>
<td>CRIMINAL DAMAGE</td>
<td align="right">27798</td>
<td align="right">2095</td>
<td align="right">7.54</td>
<td align="right">4</td>
</tr>
<tr>
<td align="right">2014</td>
<td>OTHER OFFENSE</td>
<td align="right">16979</td>
<td align="right">4159</td>
<td align="right">24.49</td>
<td align="right">5</td>
</tr>
<tr>
<td align="right">2013</td>
<td>THEFT</td>
<td align="right">71530</td>
<td align="right">7727</td>
<td align="right">10.8</td>
<td align="right">1</td>
</tr>
<tr>
<td align="right">2013</td>
<td>BATTERY</td>
<td align="right">54002</td>
<td align="right">12927</td>
<td align="right">23.94</td>
<td align="right">2</td>
</tr>
<tr>
<td align="right">2013</td>
<td>NARCOTICS</td>
<td align="right">34127</td>
<td align="right">33819</td>
<td align="right">99.1</td>
<td align="right">3</td>
</tr>
<tr>
<td align="right">2013</td>
<td>CRIMINAL DAMAGE</td>
<td align="right">30853</td>
<td align="right">2107</td>
<td align="right">6.83</td>
<td align="right">4</td>
</tr>
<tr>
<td align="right">2013</td>
<td>OTHER OFFENSE</td>
<td align="right">17993</td>
<td align="right">3400</td>
<td align="right">18.9</td>
<td align="right">5</td>
</tr>
</tbody></table>
我有一个独特的情况。在我的数据中,我有年份,在每一年内,我有5个类别和它对应的计数。我能够为相应年份创建这5个类别的堆积条形图。但是,我想在我的x轴上显示每年5个相邻的条。对于y轴,它应该显示每个条对应的总计。在
以下是我当前的viz和代码:
^{pr2}$我的问题是,如何在我的x轴上为每年创建5个相邻的条形图,而不是堆积条形图?在
提前谢谢你的帮助。在
@jakevdp已经回答了,但是为了回答您的最后一个问题(即使您有多个观点,您应该问几个问题),您可以用
alt.EncodingSortField
对这些条进行排序。在数据
^{pr2}$创建于2018年11月28日reprexpy package
制作并排条的唯一方法是在x编码的同时使用列编码。您可以遵循Altair示例库中的分组条形图示例:https://altair-viz.github.io/gallery/grouped_bar_chart.html
数据的结果如下:
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