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| <h1 class="entry-title">ECharts v3.6 发布：自定义系列、极坐标柱状图</h1> |
| <h2><span class="entry-date date published"><time datetime="2017-05-25T00:00:00+08:00">2017-05-25</time></span></h2> |
| |
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| </header> |
| <div class="entry-content"> |
| <p>在 ECharts 新发布的 <a href="https://github.com/ecomfe/echarts/releases/tag/3.6.0">3.6 版本</a>中，新增了 <a href="http://echarts.baidu.com/option.html#series-custom">自定义系列（custom series）</a>，能让用户定制渲染逻辑，从而在已有坐标系中创造新的图表。此外还有极坐标柱状图、自定义维度映射、dataZoom 等其他一些增强。</p> |
| |
| <h2 id="自定义系列">自定义系列</h2> |
| |
| <p>图表的类型多种多样，有些大众有些小众，echarts 难于内置得支持所有类型的图表。所以推出了 <a href="http://echarts.baidu.com/option.html#series-custom">自定义系列（custom series）</a>。</p> |
| |
| <p>自定义系列可以自定义系列中的图形元素渲染。从而能扩展出不同的图表。同时，echarts 会统一管理图形的创建删除、动画、与其他组件（如 <a href="http://echarts.baidu.com/option.html#dataZoom">dataZoom</a>、<a href="http://echarts.baidu.com/option.html#visualMap">visualMap</a>）的联动，使用户不必纠结这些细节。</p> |
| |
| <p><strong>例如，下面的例子使用 custom series 扩展出了 x-range 图：</strong></p> |
| <div class="ec-lazy" data-thumb="http://echarts.baidu.com/gallery/data/thumb/custom-profile.png" data-src="http://echarts.baidu.com/gallery/view.html?c=custom-profile&edit=1&reset=1" style="width: 100%; height: 300px"></div> |
| |
| <p>可以注意到，里面须用户自定义的渲染逻辑，在 <code class="highlighter-rouge">renderItem</code> 这个函数中，并不十分复杂。但是得到的功能是比较完备的。</p> |
| |
| <div class="language-js highlighter-rouge"><pre class="highlight"><code><span class="kd">var</span> <span class="nx">option</span> <span class="o">=</span> <span class="p">{</span> |
| <span class="p">...,</span> |
| <span class="na">series</span><span class="p">:</span> <span class="p">[{</span> |
| <span class="na">type</span><span class="p">:</span> <span class="s1">'custom'</span><span class="p">,</span> |
| <span class="na">renderItem</span><span class="p">:</span> <span class="kd">function</span> <span class="p">(</span><span class="nx">params</span><span class="p">,</span> <span class="nx">api</span><span class="p">)</span> <span class="p">{</span> |
| <span class="kd">var</span> <span class="nx">categoryIndex</span> <span class="o">=</span> <span class="nx">api</span><span class="p">.</span><span class="nx">value</span><span class="p">(</span><span class="mi">0</span><span class="p">);</span> |
| <span class="kd">var</span> <span class="nx">start</span> <span class="o">=</span> <span class="nx">api</span><span class="p">.</span><span class="nx">coord</span><span class="p">([</span><span class="nx">api</span><span class="p">.</span><span class="nx">value</span><span class="p">(</span><span class="mi">1</span><span class="p">),</span> <span class="nx">categoryIndex</span><span class="p">]);</span> |
| <span class="kd">var</span> <span class="nx">end</span> <span class="o">=</span> <span class="nx">api</span><span class="p">.</span><span class="nx">coord</span><span class="p">([</span><span class="nx">api</span><span class="p">.</span><span class="nx">value</span><span class="p">(</span><span class="mi">2</span><span class="p">),</span> <span class="nx">categoryIndex</span><span class="p">]);</span> |
| <span class="kd">var</span> <span class="nx">height</span> <span class="o">=</span> <span class="nx">api</span><span class="p">.</span><span class="nx">size</span><span class="p">([</span><span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">])[</span><span class="mi">1</span><span class="p">]</span> <span class="o">*</span> <span class="mf">0.6</span><span class="p">;</span> |
| |
| <span class="k">return</span> <span class="p">{</span> |
| <span class="na">type</span><span class="p">:</span> <span class="s1">'rect'</span><span class="p">,</span> |
| <span class="na">shape</span><span class="p">:</span> <span class="nx">echarts</span><span class="p">.</span><span class="nx">graphic</span><span class="p">.</span><span class="nx">clipRectByRect</span><span class="p">({</span> |
| <span class="na">x</span><span class="p">:</span> <span class="nx">start</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> |
| <span class="na">y</span><span class="p">:</span> <span class="nx">start</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="o">-</span> <span class="nx">height</span> <span class="o">/</span> <span class="mi">2</span><span class="p">,</span> |
| <span class="na">width</span><span class="p">:</span> <span class="nx">end</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">-</span> <span class="nx">start</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> |
| <span class="na">height</span><span class="p">:</span> <span class="nx">height</span> |
| <span class="p">},</span> <span class="p">{</span> |
| <span class="na">x</span><span class="p">:</span> <span class="nx">params</span><span class="p">.</span><span class="nx">coordSys</span><span class="p">.</span><span class="nx">x</span><span class="p">,</span> |
| <span class="na">y</span><span class="p">:</span> <span class="nx">params</span><span class="p">.</span><span class="nx">coordSys</span><span class="p">.</span><span class="nx">y</span><span class="p">,</span> |
| <span class="na">width</span><span class="p">:</span> <span class="nx">params</span><span class="p">.</span><span class="nx">coordSys</span><span class="p">.</span><span class="nx">width</span><span class="p">,</span> |
| <span class="na">height</span><span class="p">:</span> <span class="nx">params</span><span class="p">.</span><span class="nx">coordSys</span><span class="p">.</span><span class="nx">height</span> |
| <span class="p">}),</span> |
| <span class="na">style</span><span class="p">:</span> <span class="nx">api</span><span class="p">.</span><span class="nx">style</span><span class="p">()</span> |
| <span class="p">};</span> |
| <span class="p">},</span> |
| <span class="na">data</span><span class="p">:</span> <span class="nx">data</span> |
| <span class="p">}]</span> |
| <span class="p">}</span> |
| </code></pre> |
| </div> |
| |
| <p><strong>下面的两个例子使用 custom series 扩展出了 error-chart 图：</strong></p> |
| <div class="ec-lazy" data-thumb="http://echarts.baidu.com/gallery/data/thumb/custom-error-bar.png" data-src="http://echarts.baidu.com/gallery/view.html?c=custom-error-bar&edit=1&reset=1" style="width: 100%; height: 300px"></div> |
| |
| <div class="ec-lazy" data-thumb="http://echarts.baidu.com/gallery/data/thumb/custom-error-scatter.png" data-src="http://echarts.baidu.com/gallery/view.html?c=custom-error-scatter&edit=1&reset=1" style="width: 100%; height: 400px"></div> |
| |
| <p><strong>下面是其他一些例子：</strong></p> |
| |
| <div class="ec-lazy" data-thumb="http://echarts.baidu.com/gallery/data/thumb/custom-bar-trend.png" data-src="http://echarts.baidu.com/gallery/view.html?c=custom-bar-trend&edit=1&reset=1" style="width: 100%; height: 300px"></div> |
| |
| <div class="ec-lazy" data-thumb="http://echarts.baidu.com/gallery/data/thumb/custom-profit.png" data-src="http://echarts.baidu.com/gallery/view.html?c=custom-profit&edit=1&reset=1" style="width: 100%; height: 300px"></div> |
| |
| <div class="ec-lazy" data-thumb="http://echarts.baidu.com/gallery/data/thumb/custom-hexbin.png" data-src="http://echarts.baidu.com/gallery/view.html?c=custom-hexbin&edit=1&reset=1" style="width: 100%; height: 500px"></div> |
| |
| <h2 id="极坐标柱状图">极坐标柱状图</h2> |
| |
| <p>极坐标中的柱状图，可以按径向排布或者切向排布。</p> |
| |
| <div class="ec-lazy" data-thumb="http://echarts.baidu.com/gallery/data/thumb/bar-polar-stack.png" data-src="http://echarts.baidu.com/gallery/view.html?c=bar-polar-stack&edit=1&reset=1" style="width: 100%; height: 300px"></div> |
| |
| <div class="ec-lazy" data-thumb="http://echarts.baidu.com/gallery/data/thumb/bar-polar-stack-radial.png" data-src="http://echarts.baidu.com/gallery/view.html?c=bar-polar-stack-radial&edit=1&reset=1" style="width: 100%; height: 300px"></div> |
| |
| <p>使用时，只需要将系列的 <code class="highlighter-rouge">coordinateSystem</code> 设置为 <code class="highlighter-rouge">'polar'</code>，将原先笛卡尔坐标系中使用的 <code class="highlighter-rouge">xAxis</code> 和 <code class="highlighter-rouge">yAxis</code> 替换成 <code class="highlighter-rouge">radiusAxis</code> 和 <code class="highlighter-rouge">angleAxis</code>，就能使用极坐标系的柱状图了。</p> |
| |
| <h2 id="其他">其他</h2> |
| |
| <p>此外，</p> |
| |
| <ul> |
| <li>支持了<a href="http://echarts.baidu.com/option.html#series-scatter.encode">encode</a> 设定，可以指定 <a href="http://echarts.baidu.com/option.html#series-scatter.data">data</a> 中哪些维度映射到坐标系中哪个轴，或者哪些维度在 <a href="http://echarts.baidu.com/option.html#tooltip">tooltip</a> 以及 <a href="http://echarts.baidu.com/option.html#series-scatter.label">label</a> 中显示。</li> |
| <li>支持了 <a href="http://echarts.baidu.com/option.html#series-scatter.dimensions">dimensions</a> 设定，能指定 <a href="http://echarts.baidu.com/option.html#series-scatter.data">data</a> 中每个维度的名称和类型。名称可以显示在默认 <a href="http://echarts.baidu.com/option.html#tooltip">tooltip</a> 中。</li> |
| <li><code class="highlighter-rouge">dataZoom</code> 组件进行了增强。比如，支持了『按住 <code class="highlighter-rouge">'ctrl'</code>/<code class="highlighter-rouge">'alt'</code>/<code class="highlighter-rouge">'shift'</code> 和滚轮时才能出发缩放平移』功能，避免和页面的滚动冲突（参见 <a href="http://echarts.baidu.com/option.html#dataZoom-inside.moveOnMouseMove">moveOnMouseMove</a> 和 <a href="http://echarts.baidu.com/option.html#dataZoom-inside.zoomOnMouseWheel">zoomOnMouseWheel</a>。另外支持了 <a href="http://echarts.baidu.com/option.html#dataZoom.minSpan">minSpan</a> 和 <a href="http://echarts.baidu.com/option.html#dataZoom.maxSpan">maxSpan</a> 等细节配置。</li> |
| </ul> |
| |
| <p>更多的升级信息，参见 <a href="http://echarts.baidu.com/changelog.html">changelog</a>。</p> |
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| <p>你是否想了解一组样本数据的分布情况？你是否想根据用户的数值属性将用户分成不同的群体？你是否想预测两个变量的变化趋势？——什么？不需要？不要再违心了，小编已经听到来自你们内心深处的呐喊，今天就为大家推荐一款神器——ECharts 统计扩展，这是一个用来进行数据分析的扩展工具，包含的功能有直方图、聚类、回归、以及常用的汇总统计。通过统计扩展和 ECharts 的结合，可以使大家方便地实现可视分析，也就是将数据分析的结果，通过可视化直观地呈现出来。</p> |
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| <h4><a href="http://echarts.baidu.com/blog/2017/05/08/echarts-histogram-tutorial.html" title="那些年我们一起学过的直方图">那些年我们一起学过的直方图</a></h4> |
| <p>某天下午小编正在安安静静地撸代码，突然听说在我们的[gallery](http://gallery.echartsjs.com/explore.html#sort=rank~timeframe=all~author=all)上，有用户提出，[ECharts](http://echarts.baidu.com/index.html)不支持直方图，什么？这怎么能忍？于是小编将珍藏已久的机械键盘拿出来，摆好姿势，通宵达旦地为用户大大们加好了直方图，并于上周四悄悄上线了，对，我们就是这么低调。然而，很多大大们表示，直方图还是柱状图？傻傻分不清。小编深感这年头光有图怕是不行了，必须得有个教程，要做到图文并茂。下面小编就从直方图是什么，为什么要用直方图，以及如何使用[ECharts](http://echarts.baidu.com/index.html)制作直方图三个方面，为各位大大们上点干货。</p> |
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