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class="nav-item"><a class="nav-link"><span class="title">柱状图</span> <span class="glyphicon glyphicon-menu-down"></span></a> <ul class="nav bd-sidenav level3" style="display:none"><li class="nav-item"><a href="/handbook/zh/how-to/chart-types/bar/basic-bar" class="nav-link"><span class="title">基础柱状图</span></a> <ul class="nav bd-sidenav level4" style="display:none"></ul></li><li class="nav-item"><a href="/handbook/zh/how-to/chart-types/bar/stacked-bar" class="nav-link"><span class="title">堆叠柱状图</span></a> <ul class="nav bd-sidenav level4" style="display:none"></ul></li><li class="nav-item"><a href="/handbook/zh/how-to/chart-types/bar/bar-race" class="nav-link"><span class="title">动态排序柱状图</span></a> <ul class="nav bd-sidenav level4" style="display:none"></ul></li><!----><li class="nav-item"><a href="/handbook/zh/how-to/chart-types/bar/waterfall" class="nav-link"><span class="title">阶梯瀑布图</span></a> <ul class="nav bd-sidenav level4" style="display:none"></ul></li><!----></ul></li><li 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href="/handbook/zh/how-to/cross-platform/baidu-app" class="nav-link"><span class="title">百度智能小程序</span></a> <ul class="nav bd-sidenav level3" style="display:none"></ul></li></ul></li><li class="nav-item"><a class="nav-link"><span class="title">数据处理</span> <span class="glyphicon glyphicon-menu-down"></span></a> <ul class="nav bd-sidenav level2" style="display:none"><li class="nav-item"><a href="/handbook/zh/how-to/data/dynamic-data" class="nav-link"><span class="title">动态的异步数据</span></a> <ul class="nav bd-sidenav level3" style="display:none"></ul></li><!----></ul></li><li class="nav-item"><a class="nav-link"><span class="title">标签</span> <span class="glyphicon glyphicon-menu-down"></span></a> <ul class="nav bd-sidenav level2" style="display:none"><li class="nav-item"><a href="/handbook/zh/how-to/label/rich-text" class="nav-link"><span class="title">富文本标签</span></a> <ul class="nav bd-sidenav level3" style="display:none"></ul></li></ul></li><li class="nav-item"><a class="nav-link"><span class="title">动画</span> <span class="glyphicon glyphicon-menu-down"></span></a> <ul class="nav bd-sidenav level2" style="display:none"><li class="nav-item"><a href="/handbook/zh/how-to/animation/transition" class="nav-link"><span class="title">数据过渡动画</span></a> <ul class="nav bd-sidenav level3" style="display:none"></ul></li></ul></li><li class="nav-item"><a class="nav-link"><span class="title">交互</span> <span class="glyphicon glyphicon-menu-down"></span></a> <ul class="nav bd-sidenav level2" style="display:none"><li class="nav-item"><a href="/handbook/zh/how-to/interaction/drag" class="nav-link"><span class="title">拖拽的实现</span></a> <ul class="nav bd-sidenav level3" style="display:none"></ul></li><!----></ul></li></ul></li><li class="nav-item"><div class="nav-link"><span class="title">最佳实践</span></div> <ul class="nav bd-sidenav level1"><!----><li class="nav-item"><a href="/handbook/zh/best-practices/canvas-vs-svg" class="nav-link"><span class="title">Canvas vs. SVG</span></a> <ul class="nav bd-sidenav level2" style="display:none"></ul></li><li class="nav-item"><a href="/handbook/zh/best-practices/aria" class="nav-link"><span class="title">无障碍访问</span></a> <ul class="nav bd-sidenav level2" style="display:none"></ul></li></ul></li><li class="nav-item"><div class="nav-link"><span class="title">编辑本文档</span></div> <ul class="nav bd-sidenav level1"><li class="nav-item"><a href="/handbook/zh/meta/edit-guide" class="nav-link"><span class="title">文档编辑指南</span></a> <ul class="nav bd-sidenav level2" style="display:none"></ul></li></ul></li></ul></div> <div class="open-sidebar"><svg xmlns="http://www.w3.org/2000/svg" fill="none" viewBox="0 0 24 24" stroke="currentColor" class="h-6 w-6"><path stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M9 5l7 7-7 7"></path></svg></div></div> <div class="bd-content col-sm-7 pl-sm-2 col-12"><div class="post-content content"><div><div class="post-inner"><!----> <div class="nuxt-content"><article><h1 id="%E6%95%B0%E6%8D%AE%E9%9B%86" tabindex="-1">数据集</h1> <p><code>数据集</code>（<code>dataset</code>）是专门用来管理数据的组件。虽然每个系列都可以在 <code>series.data</code> 中设置数据，但是从 ECharts4 支持 <code>数据集</code> 开始，更推荐使用 <code>数据集</code> 来管理数据。因为这样，数据可以被多个组件复用，也方便进行 “数据和其他配置” 分离的配置风格。毕竟，在运行时，数据是最常改变的，而其他配置大多并不会改变。</p> <h2 id="%E5%9C%A8%E7%B3%BB%E5%88%97%E4%B8%AD%E8%AE%BE%E7%BD%AE%E6%95%B0%E6%8D%AE" tabindex="-1">在系列中设置数据</h2> <p>如果数据设置在 <code>系列</code>（<code>series</code>）中，例如：</p> <div class="md-live layout-tb"><div class="md-live-editor"><div class="md-live-editor-container"><div class="prism-editor-wrapper"><div class="prism-editor__container"><textarea spellcheck="false" autocapitalize="off" autocomplete="off" autocorrect="off" data-gramm="false" placeholder="" data-testid="textarea" class="prism-editor__textarea">option = {
  xAxis: {
    type: 'category',
    data: ['Matcha Latte', 'Milk Tea', 'Cheese Cocoa', 'Walnut Brownie']
  },
  yAxis: {},
  series: [
    {
      type: 'bar',
      name: '2015',
      data: [89.3, 92.1, 94.4, 85.4]
    },
    {
      type: 'bar',
      name: '2016',
      data: [95.8, 89.4, 91.2, 76.9]
    },
    {
      type: 'bar',
      name: '2017',
      data: [97.7, 83.1, 92.5, 78.1]
    }
  ]
};</textarea><pre data-testid="preview" class="prism-editor__editor">option <span class="token operator">=</span> <span class="token punctuation">{</span>
  xAxis<span class="token operator">:</span> <span class="token punctuation">{</span>
    type<span class="token operator">:</span> <span class="token string">'category'</span><span class="token punctuation">,</span>
    data<span class="token operator">:</span> <span class="token punctuation">[</span><span class="token string">'Matcha Latte'</span><span class="token punctuation">,</span> <span class="token string">'Milk Tea'</span><span class="token punctuation">,</span> <span class="token string">'Cheese Cocoa'</span><span class="token punctuation">,</span> <span class="token string">'Walnut Brownie'</span><span class="token punctuation">]</span>
  <span class="token punctuation">}</span><span class="token punctuation">,</span>
  yAxis<span class="token operator">:</span> <span class="token punctuation">{</span><span class="token punctuation">}</span><span class="token punctuation">,</span>
  series<span class="token operator">:</span> <span class="token punctuation">[</span>
    <span class="token punctuation">{</span>
      type<span class="token operator">:</span> <span class="token string">'bar'</span><span class="token punctuation">,</span>
      name<span class="token operator">:</span> <span class="token string">'2015'</span><span class="token punctuation">,</span>
      data<span class="token operator">:</span> <span class="token punctuation">[</span><span class="token number">89.3</span><span class="token punctuation">,</span> <span class="token number">92.1</span><span class="token punctuation">,</span> <span class="token number">94.4</span><span class="token punctuation">,</span> <span class="token number">85.4</span><span class="token punctuation">]</span>
    <span class="token punctuation">}</span><span class="token punctuation">,</span>
    <span class="token punctuation">{</span>
      type<span class="token operator">:</span> <span class="token string">'bar'</span><span class="token punctuation">,</span>
      name<span class="token operator">:</span> <span class="token string">'2016'</span><span class="token punctuation">,</span>
      data<span class="token operator">:</span> <span class="token punctuation">[</span><span class="token number">95.8</span><span class="token punctuation">,</span> <span class="token number">89.4</span><span class="token punctuation">,</span> <span class="token number">91.2</span><span class="token punctuation">,</span> <span class="token number">76.9</span><span class="token punctuation">]</span>
    <span class="token punctuation">}</span><span class="token punctuation">,</span>
    <span class="token punctuation">{</span>
      type<span class="token operator">:</span> <span class="token string">'bar'</span><span class="token punctuation">,</span>
      name<span class="token operator">:</span> <span class="token string">'2017'</span><span class="token punctuation">,</span>
      data<span class="token operator">:</span> <span class="token punctuation">[</span><span class="token number">97.7</span><span class="token punctuation">,</span> <span class="token number">83.1</span><span class="token punctuation">,</span> <span class="token number">92.5</span><span class="token punctuation">,</span> <span class="token number">78.1</span><span class="token punctuation">]</span>
    <span class="token punctuation">}</span>
  <span class="token punctuation">]</span>
<span class="token punctuation">}</span><span class="token punctuation">;</span><br></pre></div></div></div> <div class="md-live-tag">live</div> <div class="clipboard" data-v-479657ca><svg xmlns="http://www.w3.org/2000/svg" fill="none" viewBox="0 0 24 24" stroke="currentColor" class="h-6 w-6" data-v-479657ca><svg xmlns="http://www.w3.org/2000/svg" fill="none" viewBox="0 0 24 24" stroke="currentColor" class="h-6 w-6" data-v-479657ca><path stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M8 5H6a2 2 0 00-2 2v12a2 2 0 002 2h10a2 2 0 002-2v-1M8 5a2 2 0 002 2h2a2 2 0 002-2M8 5a2 2 0 012-2h2a2 2 0 012 2m0 0h2a2 2 0 012 2v3m2 4H10m0 0l3-3m-3 3l3 3" data-v-479657ca></path></svg></svg></div></div> <div class="md-live-preview"></div></div> <p>这种方式的优点是，适于对一些特殊的数据结构（如“树”、“图”、超大数据）进行一定的数据类型定制。
但是缺点是，常需要用户先处理数据，把数据分割设置到各个系列（和类目轴）中。此外，不利于多个系列共享一份数据，也不利于基于原始数据进行图表类型、系列的映射安排。</p> <h2 id="%E5%9C%A8%E6%95%B0%E6%8D%AE%E9%9B%86%E4%B8%AD%E8%AE%BE%E7%BD%AE%E6%95%B0%E6%8D%AE" tabindex="-1">在数据集中设置数据</h2> <p>而数据设置在 <code>数据集</code>（<code>dataset</code>）中，会有这些好处：</p> <ul><li>能够贴近数据可视化常见思维方式：（I）提供数据，（II）指定数据到视觉的映射，从而形成图表。</li> <li>数据和其他配置可以被分离开来。数据常变，其他配置常不变。分开易于分别管理。</li> <li>数据可以被多个系列或者组件复用，对于大数据量的场景，不必为每个系列创建一份数据。</li> <li>支持更多的数据的常用格式，例如二维数组、对象数组等，一定程度上避免使用者为了数据格式而进行转换。</li></ul> <p>下面是一个最简单的 <code>dataset</code> 的例子：</p> <div class="md-live layout-tb"><div class="md-live-editor"><div class="md-live-editor-container"><div class="prism-editor-wrapper"><div class="prism-editor__container"><textarea spellcheck="false" autocapitalize="off" autocomplete="off" autocorrect="off" data-gramm="false" placeholder="" data-testid="textarea" class="prism-editor__textarea">option = {
  legend: {},
  tooltip: {},
  dataset: {
    // 提供一份数据。
    source: [
      ['product', '2015', '2016', '2017'],
      ['Matcha Latte', 43.3, 85.8, 93.7],
      ['Milk Tea', 83.1, 73.4, 55.1],
      ['Cheese Cocoa', 86.4, 65.2, 82.5],
      ['Walnut Brownie', 72.4, 53.9, 39.1]
    ]
  },
  // 声明一个 X 轴，类目轴（category）。默认情况下，类目轴对应到 dataset 第一列。
  xAxis: { type: 'category' },
  // 声明一个 Y 轴，数值轴。
  yAxis: {},
  // 声明多个 bar 系列，默认情况下，每个系列会自动对应到 dataset 的每一列。
  series: [{ type: 'bar' }, { type: 'bar' }, { type: 'bar' }]
};</textarea><pre data-testid="preview" class="prism-editor__editor">option <span class="token operator">=</span> <span class="token punctuation">{</span>
  legend<span class="token operator">:</span> <span class="token punctuation">{</span><span class="token punctuation">}</span><span class="token punctuation">,</span>
  tooltip<span class="token operator">:</span> <span class="token punctuation">{</span><span class="token punctuation">}</span><span class="token punctuation">,</span>
  dataset<span class="token operator">:</span> <span class="token punctuation">{</span>
    <span class="token comment">// 提供一份数据。</span>
    source<span class="token operator">:</span> <span class="token punctuation">[</span>
      <span class="token punctuation">[</span><span class="token string">'product'</span><span class="token punctuation">,</span> <span class="token string">'2015'</span><span class="token punctuation">,</span> <span class="token string">'2016'</span><span class="token punctuation">,</span> <span class="token string">'2017'</span><span class="token punctuation">]</span><span class="token punctuation">,</span>
      <span class="token punctuation">[</span><span class="token string">'Matcha Latte'</span><span class="token punctuation">,</span> <span class="token number">43.3</span><span class="token punctuation">,</span> <span class="token number">85.8</span><span class="token punctuation">,</span> <span class="token number">93.7</span><span class="token punctuation">]</span><span class="token punctuation">,</span>
      <span class="token punctuation">[</span><span class="token string">'Milk Tea'</span><span class="token punctuation">,</span> <span class="token number">83.1</span><span class="token punctuation">,</span> <span class="token number">73.4</span><span class="token punctuation">,</span> <span class="token number">55.1</span><span class="token punctuation">]</span><span class="token punctuation">,</span>
      <span class="token punctuation">[</span><span class="token string">'Cheese Cocoa'</span><span class="token punctuation">,</span> <span class="token number">86.4</span><span class="token punctuation">,</span> <span class="token number">65.2</span><span class="token punctuation">,</span> <span class="token number">82.5</span><span class="token punctuation">]</span><span class="token punctuation">,</span>
      <span class="token punctuation">[</span><span class="token string">'Walnut Brownie'</span><span class="token punctuation">,</span> <span class="token number">72.4</span><span class="token punctuation">,</span> <span class="token number">53.9</span><span class="token punctuation">,</span> <span class="token number">39.1</span><span class="token punctuation">]</span>
    <span class="token punctuation">]</span>
  <span class="token punctuation">}</span><span class="token punctuation">,</span>
  <span class="token comment">// 声明一个 X 轴，类目轴（category）。默认情况下，类目轴对应到 dataset 第一列。</span>
  xAxis<span class="token operator">:</span> <span class="token punctuation">{</span> type<span class="token operator">:</span> <span class="token string">'category'</span> <span class="token punctuation">}</span><span class="token punctuation">,</span>
  <span class="token comment">// 声明一个 Y 轴，数值轴。</span>
  yAxis<span class="token operator">:</span> <span class="token punctuation">{</span><span class="token punctuation">}</span><span class="token punctuation">,</span>
  <span class="token comment">// 声明多个 bar 系列，默认情况下，每个系列会自动对应到 dataset 的每一列。</span>
  series<span class="token operator">:</span> <span class="token punctuation">[</span><span class="token punctuation">{</span> type<span class="token operator">:</span> <span class="token string">'bar'</span> <span class="token punctuation">}</span><span class="token punctuation">,</span> <span class="token punctuation">{</span> type<span class="token operator">:</span> <span class="token string">'bar'</span> <span class="token punctuation">}</span><span class="token punctuation">,</span> <span class="token punctuation">{</span> type<span class="token operator">:</span> <span class="token string">'bar'</span> <span class="token punctuation">}</span><span class="token punctuation">]</span>
<span class="token punctuation">}</span><span class="token punctuation">;</span><br></pre></div></div></div> <div class="md-live-tag">live</div> <div class="clipboard" data-v-479657ca><svg xmlns="http://www.w3.org/2000/svg" fill="none" viewBox="0 0 24 24" stroke="currentColor" class="h-6 w-6" data-v-479657ca><svg xmlns="http://www.w3.org/2000/svg" fill="none" viewBox="0 0 24 24" stroke="currentColor" class="h-6 w-6" data-v-479657ca><path stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M8 5H6a2 2 0 00-2 2v12a2 2 0 002 2h10a2 2 0 002-2v-1M8 5a2 2 0 002 2h2a2 2 0 002-2M8 5a2 2 0 012-2h2a2 2 0 012 2m0 0h2a2 2 0 012 2v3m2 4H10m0 0l3-3m-3 3l3 3" data-v-479657ca></path></svg></svg></div></div> <div class="md-live-preview"></div></div> <p>或者也可以使用常见的“对象数组”的格式：</p> <div class="md-live layout-tb"><div class="md-live-editor"><div class="md-live-editor-container"><div class="prism-editor-wrapper"><div class="prism-editor__container"><textarea spellcheck="false" autocapitalize="off" autocomplete="off" autocorrect="off" data-gramm="false" placeholder="" data-testid="textarea" class="prism-editor__textarea">option = {
  legend: {},
  tooltip: {},
  dataset: {
    // 用 dimensions 指定了维度的顺序。直角坐标系中，如果 X 轴 type 为 category，
    // 默认把第一个维度映射到 X 轴上，后面维度映射到 Y 轴上。
    // 如果不指定 dimensions，也可以通过指定 series.encode
    // 完成映射，参见后文。
    dimensions: ['product', '2015', '2016', '2017'],
    source: [
      { product: 'Matcha Latte', '2015': 43.3, '2016': 85.8, '2017': 93.7 },
      { product: 'Milk Tea', '2015': 83.1, '2016': 73.4, '2017': 55.1 },
      { product: 'Cheese Cocoa', '2015': 86.4, '2016': 65.2, '2017': 82.5 },
      { product: 'Walnut Brownie', '2015': 72.4, '2016': 53.9, '2017': 39.1 }
    ]
  },
  xAxis: { type: 'category' },
  yAxis: {},
  series: [{ type: 'bar' }, { type: 'bar' }, { type: 'bar' }]
};</textarea><pre data-testid="preview" class="prism-editor__editor">option <span class="token operator">=</span> <span class="token punctuation">{</span>
  legend<span class="token operator">:</span> <span class="token punctuation">{</span><span class="token punctuation">}</span><span class="token punctuation">,</span>
  tooltip<span class="token operator">:</span> <span class="token punctuation">{</span><span class="token punctuation">}</span><span class="token punctuation">,</span>
  dataset<span class="token operator">:</span> <span class="token punctuation">{</span>
    <span class="token comment">// 用 dimensions 指定了维度的顺序。直角坐标系中，如果 X 轴 type 为 category，</span>
    <span class="token comment">// 默认把第一个维度映射到 X 轴上，后面维度映射到 Y 轴上。</span>
    <span class="token comment">// 如果不指定 dimensions，也可以通过指定 series.encode</span>
    <span class="token comment">// 完成映射，参见后文。</span>
    dimensions<span class="token operator">:</span> <span class="token punctuation">[</span><span class="token string">'product'</span><span class="token punctuation">,</span> <span class="token string">'2015'</span><span class="token punctuation">,</span> <span class="token string">'2016'</span><span class="token punctuation">,</span> <span class="token string">'2017'</span><span class="token punctuation">]</span><span class="token punctuation">,</span>
    source<span class="token operator">:</span> <span class="token punctuation">[</span>
      <span class="token punctuation">{</span> product<span class="token operator">:</span> <span class="token string">'Matcha Latte'</span><span class="token punctuation">,</span> <span class="token string">'2015'</span><span class="token operator">:</span> <span class="token number">43.3</span><span class="token punctuation">,</span> <span class="token string">'2016'</span><span class="token operator">:</span> <span class="token number">85.8</span><span class="token punctuation">,</span> <span class="token string">'2017'</span><span class="token operator">:</span> <span class="token number">93.7</span> <span class="token punctuation">}</span><span class="token punctuation">,</span>
      <span class="token punctuation">{</span> product<span class="token operator">:</span> <span class="token string">'Milk Tea'</span><span class="token punctuation">,</span> <span class="token string">'2015'</span><span class="token operator">:</span> <span class="token number">83.1</span><span class="token punctuation">,</span> <span class="token string">'2016'</span><span class="token operator">:</span> <span class="token number">73.4</span><span class="token punctuation">,</span> <span class="token string">'2017'</span><span class="token operator">:</span> <span class="token number">55.1</span> <span class="token punctuation">}</span><span class="token punctuation">,</span>
      <span class="token punctuation">{</span> product<span class="token operator">:</span> <span class="token string">'Cheese Cocoa'</span><span class="token punctuation">,</span> <span class="token string">'2015'</span><span class="token operator">:</span> <span class="token number">86.4</span><span class="token punctuation">,</span> <span class="token string">'2016'</span><span class="token operator">:</span> <span class="token number">65.2</span><span class="token punctuation">,</span> <span class="token string">'2017'</span><span class="token operator">:</span> <span class="token number">82.5</span> <span class="token punctuation">}</span><span class="token punctuation">,</span>
      <span class="token punctuation">{</span> product<span class="token operator">:</span> <span class="token string">'Walnut Brownie'</span><span class="token punctuation">,</span> <span class="token string">'2015'</span><span class="token operator">:</span> <span class="token number">72.4</span><span class="token punctuation">,</span> <span class="token string">'2016'</span><span class="token operator">:</span> <span class="token number">53.9</span><span class="token punctuation">,</span> <span class="token string">'2017'</span><span class="token operator">:</span> <span class="token number">39.1</span> <span class="token punctuation">}</span>
    <span class="token punctuation">]</span>
  <span class="token punctuation">}</span><span class="token punctuation">,</span>
  xAxis<span class="token operator">:</span> <span class="token punctuation">{</span> type<span class="token operator">:</span> <span class="token string">'category'</span> <span class="token punctuation">}</span><span class="token punctuation">,</span>
  yAxis<span class="token operator">:</span> <span class="token punctuation">{</span><span class="token punctuation">}</span><span class="token punctuation">,</span>
  series<span class="token operator">:</span> <span class="token punctuation">[</span><span class="token punctuation">{</span> type<span class="token operator">:</span> <span class="token string">'bar'</span> <span class="token punctuation">}</span><span class="token punctuation">,</span> <span class="token punctuation">{</span> type<span class="token operator">:</span> <span class="token string">'bar'</span> <span class="token punctuation">}</span><span class="token punctuation">,</span> <span class="token punctuation">{</span> type<span class="token operator">:</span> <span class="token string">'bar'</span> <span class="token punctuation">}</span><span class="token punctuation">]</span>
<span class="token punctuation">}</span><span class="token punctuation">;</span><br></pre></div></div></div> <div class="md-live-tag">live</div> <div class="clipboard" data-v-479657ca><svg xmlns="http://www.w3.org/2000/svg" fill="none" viewBox="0 0 24 24" stroke="currentColor" class="h-6 w-6" data-v-479657ca><svg xmlns="http://www.w3.org/2000/svg" fill="none" viewBox="0 0 24 24" stroke="currentColor" class="h-6 w-6" data-v-479657ca><path stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M8 5H6a2 2 0 00-2 2v12a2 2 0 002 2h10a2 2 0 002-2v-1M8 5a2 2 0 002 2h2a2 2 0 002-2M8 5a2 2 0 012-2h2a2 2 0 012 2m0 0h2a2 2 0 012 2v3m2 4H10m0 0l3-3m-3 3l3 3" data-v-479657ca></path></svg></svg></div></div> <div class="md-live-preview"></div></div> <h2 id="%E6%95%B0%E6%8D%AE%E5%88%B0%E5%9B%BE%E5%BD%A2%E7%9A%84%E6%98%A0%E5%B0%84" tabindex="-1">数据到图形的映射</h2> <p>如上所述，数据可视化的一个常见思路是：（I）提供数据，（II）指定数据到视觉的映射。</p> <p>简而言之，可以进行这些映射的设定：</p> <ul><li>指定 <code>数据集</code> 的列（column）还是行（row）映射为 <code>系列</code>（<code>series</code>）。这件事可以使用 <a href="https://echarts.apache.org/option.html##series.seriesLayoutBy">series.seriesLayoutBy</a> 属性来配置。默认是按照列（column）来映射。</li> <li>指定维度映射的规则：如何从 dataset 的维度（一个“维度”的意思是一行/列）映射到坐标轴（如 X、Y 轴）、提示框（tooltip）、标签（label）、图形元素大小颜色等（visualMap）。这件事可以使用 <a href="https://echarts.apache.org/option.html##series.encode">series.encode</a> 属性，以及 <a href="https://echarts.apache.org/option.html##visualMap">visualMap</a> 组件来配置（如果有需要映射颜色大小等视觉维度的话）。上面的例子中，没有给出这种映射配置，那么 ECharts 就按最常见的理解进行默认映射：X 坐标轴声明为类目轴，默认情况下会自动对应到 <code>dataset.source</code> 中的第一列；三个柱图系列，一一对应到 <code>dataset.source</code> 中后面每一列。</li></ul> <p>下面详细解释这些映射的设定。</p> <h2 id="%E6%8A%8A%E6%95%B0%E6%8D%AE%E9%9B%86%EF%BC%88-dataset-%EF%BC%89%E7%9A%84%E8%A1%8C%E6%88%96%E5%88%97%E6%98%A0%E5%B0%84%E4%B8%BA%E7%B3%BB%E5%88%97%EF%BC%88series%EF%BC%89" tabindex="-1">把数据集（ dataset ）的行或列映射为系列（series）</h2> <p>有了数据表之后，使用者可以灵活地配置：数据如何对应到轴和图形系列。</p> <p>用户可以使用 <code>seriesLayoutBy</code> 配置项，改变图表对于行列的理解。<code>seriesLayoutBy</code> 可取值：</p> <ul><li>'column': 默认值。系列被安放到 <code>dataset</code> 的列上面。</li> <li>'row': 系列被安放到 <code>dataset</code> 的行上面。</li></ul> <p>看这个例子：</p> <div class="md-live layout-tb"><div class="md-live-editor"><div class="md-live-editor-container"><div class="prism-editor-wrapper"><div class="prism-editor__container"><textarea spellcheck="false" autocapitalize="off" autocomplete="off" autocorrect="off" data-gramm="false" placeholder="" data-testid="textarea" class="prism-editor__textarea">option = {
  legend: {},
  tooltip: {},
  dataset: {
    source: [
      ['product', '2012', '2013', '2014', '2015'],
      ['Matcha Latte', 41.1, 30.4, 65.1, 53.3],
      ['Milk Tea', 86.5, 92.1, 85.7, 83.1],
      ['Cheese Cocoa', 24.1, 67.2, 79.5, 86.4]
    ]
  },
  xAxis: [
    { type: 'category', gridIndex: 0 },
    { type: 'category', gridIndex: 1 }
  ],
  yAxis: [{ gridIndex: 0 }, { gridIndex: 1 }],
  grid: [{ bottom: '55%' }, { top: '55%' }],
  series: [
    // 这几个系列会出现在第一个直角坐标系中，每个系列对应到 dataset 的每一行。
    { type: 'bar', seriesLayoutBy: 'row' },
    { type: 'bar', seriesLayoutBy: 'row' },
    { type: 'bar', seriesLayoutBy: 'row' },
    // 这几个系列会出现在第二个直角坐标系中，每个系列对应到 dataset 的每一列。
    { type: 'bar', xAxisIndex: 1, yAxisIndex: 1 },
    { type: 'bar', xAxisIndex: 1, yAxisIndex: 1 },
    { type: 'bar', xAxisIndex: 1, yAxisIndex: 1 },
    { type: 'bar', xAxisIndex: 1, yAxisIndex: 1 }
  ]
};</textarea><pre data-testid="preview" class="prism-editor__editor">option <span class="token operator">=</span> <span class="token punctuation">{</span>
  legend<span class="token operator">:</span> <span class="token punctuation">{</span><span class="token punctuation">}</span><span class="token punctuation">,</span>
  tooltip<span class="token operator">:</span> <span class="token punctuation">{</span><span class="token punctuation">}</span><span class="token punctuation">,</span>
  dataset<span class="token operator">:</span> <span class="token punctuation">{</span>
    source<span class="token operator">:</span> <span class="token punctuation">[</span>
      <span class="token punctuation">[</span><span class="token string">'product'</span><span class="token punctuation">,</span> <span class="token string">'2012'</span><span class="token punctuation">,</span> <span class="token string">'2013'</span><span class="token punctuation">,</span> <span class="token string">'2014'</span><span class="token punctuation">,</span> <span class="token string">'2015'</span><span class="token punctuation">]</span><span class="token punctuation">,</span>
      <span class="token punctuation">[</span><span class="token string">'Matcha Latte'</span><span class="token punctuation">,</span> <span class="token number">41.1</span><span class="token punctuation">,</span> <span class="token number">30.4</span><span class="token punctuation">,</span> <span class="token number">65.1</span><span class="token punctuation">,</span> <span class="token number">53.3</span><span class="token punctuation">]</span><span class="token punctuation">,</span>
      <span class="token punctuation">[</span><span class="token string">'Milk Tea'</span><span class="token punctuation">,</span> <span class="token number">86.5</span><span class="token punctuation">,</span> <span class="token number">92.1</span><span class="token punctuation">,</span> <span class="token number">85.7</span><span class="token punctuation">,</span> <span class="token number">83.1</span><span class="token punctuation">]</span><span class="token punctuation">,</span>
      <span class="token punctuation">[</span><span class="token string">'Cheese Cocoa'</span><span class="token punctuation">,</span> <span class="token number">24.1</span><span class="token punctuation">,</span> <span class="token number">67.2</span><span class="token punctuation">,</span> <span class="token number">79.5</span><span class="token punctuation">,</span> <span class="token number">86.4</span><span class="token punctuation">]</span>
    <span class="token punctuation">]</span>
  <span class="token punctuation">}</span><span class="token punctuation">,</span>
  xAxis<span class="token operator">:</span> <span class="token punctuation">[</span>
    <span class="token punctuation">{</span> type<span class="token operator">:</span> <span class="token string">'category'</span><span class="token punctuation">,</span> gridIndex<span class="token operator">:</span> <span class="token number">0</span> <span class="token punctuation">}</span><span class="token punctuation">,</span>
    <span class="token punctuation">{</span> type<span class="token operator">:</span> <span class="token string">'category'</span><span class="token punctuation">,</span> gridIndex<span class="token operator">:</span> <span class="token number">1</span> <span class="token punctuation">}</span>
  <span class="token punctuation">]</span><span class="token punctuation">,</span>
  yAxis<span class="token operator">:</span> <span class="token punctuation">[</span><span class="token punctuation">{</span> gridIndex<span class="token operator">:</span> <span class="token number">0</span> <span class="token punctuation">}</span><span class="token punctuation">,</span> <span class="token punctuation">{</span> gridIndex<span class="token operator">:</span> <span class="token number">1</span> <span class="token punctuation">}</span><span class="token punctuation">]</span><span class="token punctuation">,</span>
  grid<span class="token operator">:</span> <span class="token punctuation">[</span><span class="token punctuation">{</span> bottom<span class="token operator">:</span> <span class="token string">'55%'</span> <span class="token punctuation">}</span><span class="token punctuation">,</span> <span class="token punctuation">{</span> top<span class="token operator">:</span> <span class="token string">'55%'</span> <span class="token punctuation">}</span><span class="token punctuation">]</span><span class="token punctuation">,</span>
  series<span class="token operator">:</span> <span class="token punctuation">[</span>
    <span class="token comment">// 这几个系列会出现在第一个直角坐标系中，每个系列对应到 dataset 的每一行。</span>
    <span class="token punctuation">{</span> type<span class="token operator">:</span> <span class="token string">'bar'</span><span class="token punctuation">,</span> seriesLayoutBy<span class="token operator">:</span> <span class="token string">'row'</span> <span class="token punctuation">}</span><span class="token punctuation">,</span>
    <span class="token punctuation">{</span> type<span class="token operator">:</span> <span class="token string">'bar'</span><span class="token punctuation">,</span> seriesLayoutBy<span class="token operator">:</span> <span class="token string">'row'</span> <span class="token punctuation">}</span><span class="token punctuation">,</span>
    <span class="token punctuation">{</span> type<span class="token operator">:</span> <span class="token string">'bar'</span><span class="token punctuation">,</span> seriesLayoutBy<span class="token operator">:</span> <span class="token string">'row'</span> <span class="token punctuation">}</span><span class="token punctuation">,</span>
    <span class="token comment">// 这几个系列会出现在第二个直角坐标系中，每个系列对应到 dataset 的每一列。</span>
    <span class="token punctuation">{</span> type<span class="token operator">:</span> <span class="token string">'bar'</span><span class="token punctuation">,</span> xAxisIndex<span class="token operator">:</span> <span class="token number">1</span><span class="token punctuation">,</span> yAxisIndex<span class="token operator">:</span> <span class="token number">1</span> <span class="token punctuation">}</span><span class="token punctuation">,</span>
    <span class="token punctuation">{</span> type<span class="token operator">:</span> <span class="token string">'bar'</span><span class="token punctuation">,</span> xAxisIndex<span class="token operator">:</span> <span class="token number">1</span><span class="token punctuation">,</span> yAxisIndex<span class="token operator">:</span> <span class="token number">1</span> <span class="token punctuation">}</span><span class="token punctuation">,</span>
    <span class="token punctuation">{</span> type<span class="token operator">:</span> <span class="token string">'bar'</span><span class="token punctuation">,</span> xAxisIndex<span class="token operator">:</span> <span class="token number">1</span><span class="token punctuation">,</span> yAxisIndex<span class="token operator">:</span> <span class="token number">1</span> <span class="token punctuation">}</span><span class="token punctuation">,</span>
    <span class="token punctuation">{</span> type<span class="token operator">:</span> <span class="token string">'bar'</span><span class="token punctuation">,</span> xAxisIndex<span class="token operator">:</span> <span class="token number">1</span><span class="token punctuation">,</span> yAxisIndex<span class="token operator">:</span> <span class="token number">1</span> <span class="token punctuation">}</span>
  <span class="token punctuation">]</span>
<span class="token punctuation">}</span><span class="token punctuation">;</span><br></pre></div></div></div> <div class="md-live-tag">live</div> <div class="clipboard" data-v-479657ca><svg xmlns="http://www.w3.org/2000/svg" fill="none" viewBox="0 0 24 24" stroke="currentColor" class="h-6 w-6" data-v-479657ca><svg xmlns="http://www.w3.org/2000/svg" fill="none" viewBox="0 0 24 24" stroke="currentColor" class="h-6 w-6" data-v-479657ca><path stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M8 5H6a2 2 0 00-2 2v12a2 2 0 002 2h10a2 2 0 002-2v-1M8 5a2 2 0 002 2h2a2 2 0 002-2M8 5a2 2 0 012-2h2a2 2 0 012 2m0 0h2a2 2 0 012 2v3m2 4H10m0 0l3-3m-3 3l3 3" data-v-479657ca></path></svg></svg></div></div> <div class="md-live-preview"></div></div> <h2 id="%E7%BB%B4%E5%BA%A6%EF%BC%88-dimension-%EF%BC%89" tabindex="-1">维度（ dimension ）</h2> <p>常用图表所描述的数据大部分是“二维表”结构，上述的例子中，我们都使用二维数组来容纳二维表。现在，当我们把系列（ series ）对应到“列”的时候，那么每一列就称为一个“维度（ dimension ）”，而每一行称为数据项（ item ）。反之，如果我们把系列（ series ）对应到表行，那么每一行就是“维度（ dimension ）”，每一列就是数据项（ item ）。</p> <p>维度可以有单独的名字，便于在图表中显示。维度名（ dimension name ）可以在定义在 dataset 的第一行（或者第一列）。例如上面的例子中，<code>'score'</code>、<code>'amount'</code>、<code>'product'</code> 就是维度名。从第二行开始，才是正式的数据。<code>dataset.source</code> 中第一行（列）到底包含不包含维度名，ECharts 默认会自动探测。当然也可以设置 <code>dataset.sourceHeader: true</code> 显示声明第一行（列）就是维度，或者 <code>dataset.sourceHeader: false</code> 表明第一行（列）开始就直接是数据。</p> <p>维度的定义，也可以使用单独的 <code>dataset.dimensions</code> 或者 <code>series.dimensions</code> 来定义，这样可以同时指定维度名，和维度的类型（ dimension type ）：</p> <div class="md-code-block"><div class="nuxt-content-highlight"><pre class="language-js line-numbers"><code><span class="token keyword">var</span> option1 <span class="token operator">=</span> <span class="token punctuation">{</span>
  dataset<span class="token operator">:</span> <span class="token punctuation">{</span>
    dimensions<span class="token operator">:</span> <span class="token punctuation">[</span>
      <span class="token punctuation">{</span> name<span class="token operator">:</span> <span class="token string">'score'</span> <span class="token punctuation">}</span><span class="token punctuation">,</span>
      <span class="token comment">// 可以简写为 string ，表示 dimension name 。</span>
      <span class="token string">'amount'</span><span class="token punctuation">,</span>
      <span class="token comment">// 可以在 type 中指定维度类型。</span>
      <span class="token punctuation">{</span> name<span class="token operator">:</span> <span class="token string">'product'</span><span class="token punctuation">,</span> type<span class="token operator">:</span> <span class="token string">'ordinal'</span> <span class="token punctuation">}</span>
    <span class="token punctuation">]</span><span class="token punctuation">,</span>
    source<span class="token operator">:</span> <span class="token punctuation">[</span>
      <span class="token comment">//...</span>
    <span class="token punctuation">]</span>
  <span class="token punctuation">}</span>
  <span class="token comment">// ...</span>
<span class="token punctuation">}</span><span class="token punctuation">;</span>

<span class="token keyword">var</span> option2 <span class="token operator">=</span> <span class="token punctuation">{</span>
  dataset<span class="token operator">:</span> <span class="token punctuation">{</span>
    source<span class="token operator">:</span> <span class="token punctuation">[</span>
      <span class="token comment">// ...</span>
    <span class="token punctuation">]</span>
  <span class="token punctuation">}</span><span class="token punctuation">,</span>
  series<span class="token operator">:</span> <span class="token punctuation">{</span>
    type<span class="token operator">:</span> <span class="token string">'line'</span><span class="token punctuation">,</span>
    <span class="token comment">// series.dimensions 会更优先于 dataset.dimension 采纳。</span>
    dimensions<span class="token operator">:</span> <span class="token punctuation">[</span>
      <span class="token keyword">null</span><span class="token punctuation">,</span> <span class="token comment">// 可以设置为 null 表示不想设置维度名</span>
      <span class="token string">'amount'</span><span class="token punctuation">,</span>
      <span class="token punctuation">{</span> name<span class="token operator">:</span> <span class="token string">'product'</span><span class="token punctuation">,</span> type<span class="token operator">:</span> <span class="token string">'ordinal'</span> <span class="token punctuation">}</span>
    <span class="token punctuation">]</span>
  <span class="token punctuation">}</span>
  <span class="token comment">// ...</span>
<span class="token punctuation">}</span><span class="token punctuation">;</span></code></pre></div> <!----> <div class="clipboard" data-v-479657ca><svg xmlns="http://www.w3.org/2000/svg" fill="none" viewBox="0 0 24 24" stroke="currentColor" class="h-6 w-6" data-v-479657ca><svg xmlns="http://www.w3.org/2000/svg" fill="none" viewBox="0 0 24 24" stroke="currentColor" class="h-6 w-6" data-v-479657ca><path stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M8 5H6a2 2 0 00-2 2v12a2 2 0 002 2h10a2 2 0 002-2v-1M8 5a2 2 0 002 2h2a2 2 0 002-2M8 5a2 2 0 012-2h2a2 2 0 012 2m0 0h2a2 2 0 012 2v3m2 4H10m0 0l3-3m-3 3l3 3" data-v-479657ca></path></svg></svg></div></div> <p>大多数情况下，我们并不需要去设置维度类型，因为 ECharts 会自动尝试判断。但是如果不足够准确时，可以手动设置维度类型。</p> <p>维度类型（ dimension type ）可以取这些值：</p> <ul><li><code>'number'</code>: 默认，表示普通数据。</li> <li><code>'ordinal'</code>: 对于类目、文本这些 string 类型的数据，如果需要能在数轴上使用，须是 'ordinal' 类型。ECharts 默认会试图自动判断这个类型。但是自动判断也可能不准确，所以使用者也可以手动强制指定。</li> <li><code>'time'</code>: 表示时间数据。设置成 <code>'time'</code> 则能支持自动解析数据成时间戳（timestamp），比如该维度的数据是 '2017-05-10'，会自动被解析。如果这个维度被用在时间数轴（<a href="https://echarts.apache.org/option.html##xAxis.type">axis.type</a> 为 <code>'time'</code>）上，那么会被自动设置为 <code>'time'</code> 类型。时间类型的支持参见 <a href="https://echarts.apache.org/option.html##series.data">data</a>。</li> <li><code>'float'</code>: 如果设置成 <code>'float'</code>，在存储时候会使用 <code>TypedArray</code>，对性能优化有好处。</li> <li><code>'int'</code>: 如果设置成 <code>'int'</code>，在存储时候会使用 <code>TypedArray</code>，对性能优化有好处。</li></ul> <h2 id="%E6%95%B0%E6%8D%AE%E5%88%B0%E5%9B%BE%E5%BD%A2%E7%9A%84%E6%98%A0%E5%B0%84%EF%BC%88-series.encode-%EF%BC%89" tabindex="-1">数据到图形的映射（ series.encode ）</h2> <p>了解了维度的概念后，我们就可以使用 <a href="https://echarts.apache.org/option.html##series.encode">series.encode</a> 来做映射。总体是这样的感觉：</p> <div class="md-live layout-tb"><div class="md-live-editor"><div class="md-live-editor-container"><div class="prism-editor-wrapper"><div class="prism-editor__container"><textarea spellcheck="false" autocapitalize="off" autocomplete="off" autocorrect="off" data-gramm="false" placeholder="" data-testid="textarea" class="prism-editor__textarea">var option = {
  dataset: {
    source: [
      ['score', 'amount', 'product'],
      [89.3, 58212, 'Matcha Latte'],
      [57.1, 78254, 'Milk Tea'],
      [74.4, 41032, 'Cheese Cocoa'],
      [50.1, 12755, 'Cheese Brownie'],
      [89.7, 20145, 'Matcha Cocoa'],
      [68.1, 79146, 'Tea'],
      [19.6, 91852, 'Orange Juice'],
      [10.6, 101852, 'Lemon Juice'],
      [32.7, 20112, 'Walnut Brownie']
    ]
  },
  xAxis: {},
  yAxis: { type: 'category' },
  series: [
    {
      type: 'bar',
      encode: {
        // 将 "amount" 列映射到 X 轴。
        x: 'amount',
        // 将 "product" 列映射到 Y 轴。
        y: 'product'
      }
    }
  ]
};</textarea><pre data-testid="preview" class="prism-editor__editor"><span class="token keyword">var</span> option <span class="token operator">=</span> <span class="token punctuation">{</span>
  dataset<span class="token operator">:</span> <span class="token punctuation">{</span>
    source<span class="token operator">:</span> <span class="token punctuation">[</span>
      <span class="token punctuation">[</span><span class="token string">'score'</span><span class="token punctuation">,</span> <span class="token string">'amount'</span><span class="token punctuation">,</span> <span class="token string">'product'</span><span class="token punctuation">]</span><span class="token punctuation">,</span>
      <span class="token punctuation">[</span><span class="token number">89.3</span><span class="token punctuation">,</span> <span class="token number">58212</span><span class="token punctuation">,</span> <span class="token string">'Matcha Latte'</span><span class="token punctuation">]</span><span class="token punctuation">,</span>
      <span class="token punctuation">[</span><span class="token number">57.1</span><span class="token punctuation">,</span> <span class="token number">78254</span><span class="token punctuation">,</span> <span class="token string">'Milk Tea'</span><span class="token punctuation">]</span><span class="token punctuation">,</span>
      <span class="token punctuation">[</span><span class="token number">74.4</span><span class="token punctuation">,</span> <span class="token number">41032</span><span class="token punctuation">,</span> <span class="token string">'Cheese Cocoa'</span><span class="token punctuation">]</span><span class="token punctuation">,</span>
      <span class="token punctuation">[</span><span class="token number">50.1</span><span class="token punctuation">,</span> <span class="token number">12755</span><span class="token punctuation">,</span> <span class="token string">'Cheese Brownie'</span><span class="token punctuation">]</span><span class="token punctuation">,</span>
      <span class="token punctuation">[</span><span class="token number">89.7</span><span class="token punctuation">,</span> <span class="token number">20145</span><span class="token punctuation">,</span> <span class="token string">'Matcha Cocoa'</span><span class="token punctuation">]</span><span class="token punctuation">,</span>
      <span class="token punctuation">[</span><span class="token number">68.1</span><span class="token punctuation">,</span> <span class="token number">79146</span><span class="token punctuation">,</span> <span class="token string">'Tea'</span><span class="token punctuation">]</span><span class="token punctuation">,</span>
      <span class="token punctuation">[</span><span class="token number">19.6</span><span class="token punctuation">,</span> <span class="token number">91852</span><span class="token punctuation">,</span> <span class="token string">'Orange Juice'</span><span class="token punctuation">]</span><span class="token punctuation">,</span>
      <span class="token punctuation">[</span><span class="token number">10.6</span><span class="token punctuation">,</span> <span class="token number">101852</span><span class="token punctuation">,</span> <span class="token string">'Lemon Juice'</span><span class="token punctuation">]</span><span class="token punctuation">,</span>
      <span class="token punctuation">[</span><span class="token number">32.7</span><span class="token punctuation">,</span> <span class="token number">20112</span><span class="token punctuation">,</span> <span class="token string">'Walnut Brownie'</span><span class="token punctuation">]</span>
    <span class="token punctuation">]</span>
  <span class="token punctuation">}</span><span class="token punctuation">,</span>
  xAxis<span class="token operator">:</span> <span class="token punctuation">{</span><span class="token punctuation">}</span><span class="token punctuation">,</span>
  yAxis<span class="token operator">:</span> <span class="token punctuation">{</span> type<span class="token operator">:</span> <span class="token string">'category'</span> <span class="token punctuation">}</span><span class="token punctuation">,</span>
  series<span class="token operator">:</span> <span class="token punctuation">[</span>
    <span class="token punctuation">{</span>
      type<span class="token operator">:</span> <span class="token string">'bar'</span><span class="token punctuation">,</span>
      encode<span class="token operator">:</span> <span class="token punctuation">{</span>
        <span class="token comment">// 将 "amount" 列映射到 X 轴。</span>
        x<span class="token operator">:</span> <span class="token string">'amount'</span><span class="token punctuation">,</span>
        <span class="token comment">// 将 "product" 列映射到 Y 轴。</span>
        y<span class="token operator">:</span> <span class="token string">'product'</span>
      <span class="token punctuation">}</span>
    <span class="token punctuation">}</span>
  <span class="token punctuation">]</span>
<span class="token punctuation">}</span><span class="token punctuation">;</span><br></pre></div></div></div> <div class="md-live-tag">live</div> <div class="clipboard" data-v-479657ca><svg xmlns="http://www.w3.org/2000/svg" fill="none" viewBox="0 0 24 24" stroke="currentColor" class="h-6 w-6" data-v-479657ca><svg xmlns="http://www.w3.org/2000/svg" fill="none" viewBox="0 0 24 24" stroke="currentColor" class="h-6 w-6" data-v-479657ca><path stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M8 5H6a2 2 0 00-2 2v12a2 2 0 002 2h10a2 2 0 002-2v-1M8 5a2 2 0 002 2h2a2 2 0 002-2M8 5a2 2 0 012-2h2a2 2 0 012 2m0 0h2a2 2 0 012 2v3m2 4H10m0 0l3-3m-3 3l3 3" data-v-479657ca></path></svg></svg></div></div> <div class="md-live-preview"></div></div> <p><code>series.encode</code> 声明的基本结构如下。其中冒号左边是坐标系、标签等特定名称，如 <code>'x'</code>, <code>'y'</code>, <code>'tooltip'</code> 等，冒号右边是数据中的维度名（string 格式）或者维度的序号（number 格式，从 0 开始计数），可以指定一个或多个维度（使用数组）。通常情况下，下面各种信息不需要所有的都写，按需写即可。</p> <p>下面是 <code>series.encode</code> 支持的属性：</p> <div class="md-code-block"><div class="nuxt-content-highlight"><pre class="language-js line-numbers"><code><span class="token comment">// 在任何坐标系和系列中，都支持：</span>
encode<span class="token operator">:</span> <span class="token punctuation">{</span>
  <span class="token comment">// 使用 “名为 product 的维度” 和 “名为 score 的维度” 的值在 tooltip 中显示</span>
  tooltip<span class="token operator">:</span> <span class="token punctuation">[</span><span class="token string">'product'</span><span class="token punctuation">,</span> <span class="token string">'score'</span><span class="token punctuation">]</span>
  <span class="token comment">// 使用 “维度 1” 和 “维度 3” 的维度名连起来作为系列名。（有时候名字比较长，这可以避免在 series.name 重复输入这些名字）</span>
  seriesName<span class="token operator">:</span> <span class="token punctuation">[</span><span class="token number">1</span><span class="token punctuation">,</span> <span class="token number">3</span><span class="token punctuation">]</span><span class="token punctuation">,</span>
  <span class="token comment">// 表示使用 “维度2” 中的值作为 id。这在使用 setOption 动态更新数据时有用处，可以使新老数据用 id 对应起来，从而能够产生合适的数据更新动画。</span>
  itemId<span class="token operator">:</span> <span class="token number">2</span><span class="token punctuation">,</span>
  <span class="token comment">// 指定数据项的名称使用 “维度3” 在饼图等图表中有用，可以使这个名字显示在图例（legend）中。</span>
  itemName<span class="token operator">:</span> <span class="token number">3</span>
<span class="token punctuation">}</span>

<span class="token comment">// 直角坐标系（grid/cartesian）特有的属性：</span>
encode<span class="token operator">:</span> <span class="token punctuation">{</span>
  <span class="token comment">// 把 “维度1”、“维度5”、“名为 score 的维度” 映射到 X 轴：</span>
  x<span class="token operator">:</span> <span class="token punctuation">[</span><span class="token number">1</span><span class="token punctuation">,</span> <span class="token number">5</span><span class="token punctuation">,</span> <span class="token string">'score'</span><span class="token punctuation">]</span><span class="token punctuation">,</span>
  <span class="token comment">// 把“维度0”映射到 Y 轴。</span>
  y<span class="token operator">:</span> <span class="token number">0</span>
<span class="token punctuation">}</span>

<span class="token comment">// 单轴（singleAxis）特有的属性：</span>
encode<span class="token operator">:</span> <span class="token punctuation">{</span>
  single<span class="token operator">:</span> <span class="token number">3</span>
<span class="token punctuation">}</span>

<span class="token comment">// 极坐标系（polar）特有的属性：</span>
encode<span class="token operator">:</span> <span class="token punctuation">{</span>
  radius<span class="token operator">:</span> <span class="token number">3</span><span class="token punctuation">,</span>
  angle<span class="token operator">:</span> <span class="token number">2</span>
<span class="token punctuation">}</span>

<span class="token comment">// 地理坐标系（geo）特有的属性：</span>
encode<span class="token operator">:</span> <span class="token punctuation">{</span>
  lng<span class="token operator">:</span> <span class="token number">3</span><span class="token punctuation">,</span>
  lat<span class="token operator">:</span> <span class="token number">2</span>
<span class="token punctuation">}</span>

<span class="token comment">// 对于一些没有坐标系的图表，例如饼图、漏斗图等，可以是：</span>
encode<span class="token operator">:</span> <span class="token punctuation">{</span>
  value<span class="token operator">:</span> <span class="token number">3</span>
<span class="token punctuation">}</span></code></pre></div> <!----> <div class="clipboard" data-v-479657ca><svg xmlns="http://www.w3.org/2000/svg" fill="none" viewBox="0 0 24 24" stroke="currentColor" class="h-6 w-6" data-v-479657ca><svg xmlns="http://www.w3.org/2000/svg" fill="none" viewBox="0 0 24 24" stroke="currentColor" class="h-6 w-6" data-v-479657ca><path stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M8 5H6a2 2 0 00-2 2v12a2 2 0 002 2h10a2 2 0 002-2v-1M8 5a2 2 0 002 2h2a2 2 0 002-2M8 5a2 2 0 012-2h2a2 2 0 012 2m0 0h2a2 2 0 012 2v3m2 4H10m0 0l3-3m-3 3l3 3" data-v-479657ca></path></svg></svg></div></div> <p>这是个更丰富的 <code>series.encode</code> 的 <a href="https://echarts.apache.org/examples/zh/editor.html?c=dataset-encode1&edit=1&reset=1">示例</a> 。</p> <h2 id="%E9%BB%98%E8%AE%A4%E7%9A%84-series.encode" tabindex="-1">默认的 series.encode</h2> <p>值得一提的是，当 <code>series.encode</code> 并没有指定时，ECharts 针对最常见直角坐标系中的图表（折线图、柱状图、散点图、K 线图等）、饼图、漏斗图，会采用一些默认的映射规则。默认的映射规则比较简单，大体是：</p> <ul><li>在坐标系中（如直角坐标系、极坐标系等）
<ul><li>如果有类目轴（axis.type 为 'category'），则将第一列（行）映射到这个轴上，后续每一列（行）对应一个系列。</li> <li>如果没有类目轴，假如坐标系有两个轴（例如直角坐标系的 X Y 轴），则每两列对应一个系列，这两列分别映射到这两个轴上。</li></ul></li> <li>如果没有坐标系（如饼图）
<ul><li>取第一列（行）为名字，第二列（行）为数值（如果只有一列，则取第一列为数值）。</li></ul></li></ul> <p>默认的规则不能满足要求时，就可以自己来配置 <code>encode</code>，也并不复杂。这是一个 <a href="https://echarts.apache.org/examples/zh/editor.html?c=dataset-default&edit=1&reset=1">例子</a>。</p> <h2 id="%E5%87%A0%E4%B8%AA%E5%B8%B8%E8%A7%81%E7%9A%84-series.encode-%E8%AE%BE%E7%BD%AE%E6%96%B9%E5%BC%8F%E4%B8%BE%E4%BE%8B" tabindex="-1">几个常见的 series.encode 设置方式举例</h2> <p>问：如何把第三列设置为 X 轴，第五列设置为 Y 轴？</p> <p>答：</p> <div class="md-code-block"><div class="nuxt-content-highlight"><pre class="language-js line-numbers"><code>option <span class="token operator">=</span> <span class="token punctuation">{</span>
  series<span class="token operator">:</span> <span class="token punctuation">{</span>
    <span class="token comment">// 注意维度序号（dimensionIndex）从 0 开始计数，第三列是 dimensions[2]。</span>
    encode<span class="token operator">:</span> <span class="token punctuation">{</span> x<span class="token operator">:</span> <span class="token number">2</span><span class="token punctuation">,</span> y<span class="token operator">:</span> <span class="token number">4</span> <span class="token punctuation">}</span>
    <span class="token comment">// ...</span>
  <span class="token punctuation">}</span>
<span class="token punctuation">}</span><span class="token punctuation">;</span></code></pre></div> <!----> <div class="clipboard" data-v-479657ca><svg xmlns="http://www.w3.org/2000/svg" fill="none" viewBox="0 0 24 24" stroke="currentColor" class="h-6 w-6" data-v-479657ca><svg xmlns="http://www.w3.org/2000/svg" fill="none" viewBox="0 0 24 24" stroke="currentColor" class="h-6 w-6" data-v-479657ca><path stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M8 5H6a2 2 0 00-2 2v12a2 2 0 002 2h10a2 2 0 002-2v-1M8 5a2 2 0 002 2h2a2 2 0 002-2M8 5a2 2 0 012-2h2a2 2 0 012 2m0 0h2a2 2 0 012 2v3m2 4H10m0 0l3-3m-3 3l3 3" data-v-479657ca></path></svg></svg></div></div> <p>问：如何把第三行设置为 X 轴，第五行设置为 Y 轴？</p> <p>答：</p> <div class="md-code-block"><div class="nuxt-content-highlight"><pre class="language-js line-numbers"><code>option <span class="token operator">=</span> <span class="token punctuation">{</span>
  series<span class="token operator">:</span> <span class="token punctuation">{</span>
    encode<span class="token operator">:</span> <span class="token punctuation">{</span> x<span class="token operator">:</span> <span class="token number">2</span><span class="token punctuation">,</span> y<span class="token operator">:</span> <span class="token number">4</span> <span class="token punctuation">}</span><span class="token punctuation">,</span>
    seriesLayoutBy<span class="token operator">:</span> <span class="token string">'row'</span>
    <span class="token comment">// ...</span>
  <span class="token punctuation">}</span>
<span class="token punctuation">}</span><span class="token punctuation">;</span></code></pre></div> <!----> <div class="clipboard" data-v-479657ca><svg xmlns="http://www.w3.org/2000/svg" fill="none" viewBox="0 0 24 24" stroke="currentColor" class="h-6 w-6" data-v-479657ca><svg xmlns="http://www.w3.org/2000/svg" fill="none" viewBox="0 0 24 24" stroke="currentColor" class="h-6 w-6" data-v-479657ca><path stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M8 5H6a2 2 0 00-2 2v12a2 2 0 002 2h10a2 2 0 002-2v-1M8 5a2 2 0 002 2h2a2 2 0 002-2M8 5a2 2 0 012-2h2a2 2 0 012 2m0 0h2a2 2 0 012 2v3m2 4H10m0 0l3-3m-3 3l3 3" data-v-479657ca></path></svg></svg></div></div> <p>问：如何把第二列设置为标签？</p> <p>答：
关于标签的显示 <a href="https://echarts.apache.org/option.html##series.label.formatter">label.formatter</a>，现在支持引用特定维度的值，例如：</p> <div class="md-code-block"><div class="nuxt-content-highlight"><pre class="language-js line-numbers"><code>series<span class="token operator">:</span> <span class="token punctuation">{</span>
  label<span class="token operator">:</span> <span class="token punctuation">{</span>
    <span class="token comment">// `'{@score}'` 表示 “名为 score” 的维度里的值。</span>
    <span class="token comment">// `'{@[4]}'` 表示引用序号为 4 的维度里的值。</span>
    formatter<span class="token operator">:</span> <span class="token string">'aaa{@product}bbb{@score}ccc{@[4]}ddd'</span><span class="token punctuation">;</span>
  <span class="token punctuation">}</span>
<span class="token punctuation">}</span></code></pre></div> <!----> <div class="clipboard" data-v-479657ca><svg xmlns="http://www.w3.org/2000/svg" fill="none" viewBox="0 0 24 24" stroke="currentColor" class="h-6 w-6" data-v-479657ca><svg xmlns="http://www.w3.org/2000/svg" fill="none" viewBox="0 0 24 24" stroke="currentColor" class="h-6 w-6" data-v-479657ca><path stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M8 5H6a2 2 0 00-2 2v12a2 2 0 002 2h10a2 2 0 002-2v-1M8 5a2 2 0 002 2h2a2 2 0 002-2M8 5a2 2 0 012-2h2a2 2 0 012 2m0 0h2a2 2 0 012 2v3m2 4H10m0 0l3-3m-3 3l3 3" data-v-479657ca></path></svg></svg></div></div> <p>问：如何让第 2 列和第 3 列显示在提示框（tooltip）中？</p> <p>答：</p> <div class="md-code-block"><div class="nuxt-content-highlight"><pre class="language-js line-numbers"><code>option <span class="token operator">=</span> <span class="token punctuation">{</span>
  series<span class="token operator">:</span> <span class="token punctuation">{</span>
    encode<span class="token operator">:</span> <span class="token punctuation">{</span>
      tooltip<span class="token operator">:</span> <span class="token punctuation">[</span><span class="token number">1</span><span class="token punctuation">,</span> <span class="token number">2</span><span class="token punctuation">]</span>
      <span class="token comment">// ...</span>
    <span class="token punctuation">}</span>
    <span class="token comment">// ...</span>
  <span class="token punctuation">}</span>
<span class="token punctuation">}</span><span class="token punctuation">;</span></code></pre></div> <!----> <div class="clipboard" data-v-479657ca><svg xmlns="http://www.w3.org/2000/svg" fill="none" viewBox="0 0 24 24" stroke="currentColor" class="h-6 w-6" data-v-479657ca><svg xmlns="http://www.w3.org/2000/svg" fill="none" viewBox="0 0 24 24" stroke="currentColor" class="h-6 w-6" data-v-479657ca><path stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M8 5H6a2 2 0 00-2 2v12a2 2 0 002 2h10a2 2 0 002-2v-1M8 5a2 2 0 002 2h2a2 2 0 002-2M8 5a2 2 0 012-2h2a2 2 0 012 2m0 0h2a2 2 0 012 2v3m2 4H10m0 0l3-3m-3 3l3 3" data-v-479657ca></path></svg></svg></div></div> <p>问：数据里没有维度名，那么怎么给出维度名？</p> <p>答：</p> <div class="md-code-block"><div class="nuxt-content-highlight"><pre class="language-js line-numbers"><code><span class="token keyword">var</span> option <span class="token operator">=</span> <span class="token punctuation">{</span>
  dataset<span class="token operator">:</span> <span class="token punctuation">{</span>
    dimensions<span class="token operator">:</span> <span class="token punctuation">[</span><span class="token string">'score'</span><span class="token punctuation">,</span> <span class="token string">'amount'</span><span class="token punctuation">]</span><span class="token punctuation">,</span>
    source<span class="token operator">:</span> <span class="token punctuation">[</span>
      <span class="token punctuation">[</span><span class="token number">89.3</span><span class="token punctuation">,</span> <span class="token number">3371</span><span class="token punctuation">]</span><span class="token punctuation">,</span>
      <span class="token punctuation">[</span><span class="token number">92.1</span><span class="token punctuation">,</span> <span class="token number">8123</span><span class="token punctuation">]</span><span class="token punctuation">,</span>
      <span class="token punctuation">[</span><span class="token number">94.4</span><span class="token punctuation">,</span> <span class="token number">1954</span><span class="token punctuation">]</span><span class="token punctuation">,</span>
      <span class="token punctuation">[</span><span class="token number">85.4</span><span class="token punctuation">,</span> <span class="token number">829</span><span class="token punctuation">]</span>
    <span class="token punctuation">]</span>
  <span class="token punctuation">}</span>
<span class="token punctuation">}</span><span class="token punctuation">;</span></code></pre></div> <!----> <div class="clipboard" data-v-479657ca><svg xmlns="http://www.w3.org/2000/svg" fill="none" viewBox="0 0 24 24" stroke="currentColor" class="h-6 w-6" data-v-479657ca><svg xmlns="http://www.w3.org/2000/svg" fill="none" viewBox="0 0 24 24" stroke="currentColor" class="h-6 w-6" data-v-479657ca><path stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M8 5H6a2 2 0 00-2 2v12a2 2 0 002 2h10a2 2 0 002-2v-1M8 5a2 2 0 002 2h2a2 2 0 002-2M8 5a2 2 0 012-2h2a2 2 0 012 2m0 0h2a2 2 0 012 2v3m2 4H10m0 0l3-3m-3 3l3 3" data-v-479657ca></path></svg></svg></div></div> <p>问：如何把第三列映射为气泡图的点的大小？</p> <p>答：</p> <div class="md-live layout-tb"><div class="md-live-editor"><div class="md-live-editor-container"><div class="prism-editor-wrapper"><div class="prism-editor__container"><textarea spellcheck="false" autocapitalize="off" autocomplete="off" autocorrect="off" data-gramm="false" placeholder="" data-testid="textarea" class="prism-editor__textarea">var option = {
  dataset: {
    source: [
      [12, 323, 11.2],
      [23, 167, 8.3],
      [81, 284, 12],
      [91, 413, 4.1],
      [13, 287, 13.5]
    ]
  },
  visualMap: {
    show: false,
    dimension: 2, // 指向第三列（列序号从 0 开始记，所以设置为 2）。
    min: 2, // 需要给出数值范围，最小数值。
    max: 15, // 需要给出数值范围，最大数值。
    inRange: {
      // 气泡尺寸：5 像素到 60 像素。
      symbolSize: [5, 60]
    }
  },
  xAxis: {},
  yAxis: {},
  series: {
    type: 'scatter'
  }
};</textarea><pre data-testid="preview" class="prism-editor__editor"><span class="token keyword">var</span> option <span class="token operator">=</span> <span class="token punctuation">{</span>
  dataset<span class="token operator">:</span> <span class="token punctuation">{</span>
    source<span class="token operator">:</span> <span class="token punctuation">[</span>
      <span class="token punctuation">[</span><span class="token number">12</span><span class="token punctuation">,</span> <span class="token number">323</span><span class="token punctuation">,</span> <span class="token number">11.2</span><span class="token punctuation">]</span><span class="token punctuation">,</span>
      <span class="token punctuation">[</span><span class="token number">23</span><span class="token punctuation">,</span> <span class="token number">167</span><span class="token punctuation">,</span> <span class="token number">8.3</span><span class="token punctuation">]</span><span class="token punctuation">,</span>
      <span class="token punctuation">[</span><span class="token number">81</span><span class="token punctuation">,</span> <span class="token number">284</span><span class="token punctuation">,</span> <span class="token number">12</span><span class="token punctuation">]</span><span class="token punctuation">,</span>
      <span class="token punctuation">[</span><span class="token number">91</span><span class="token punctuation">,</span> <span class="token number">413</span><span class="token punctuation">,</span> <span class="token number">4.1</span><span class="token punctuation">]</span><span class="token punctuation">,</span>
      <span class="token punctuation">[</span><span class="token number">13</span><span class="token punctuation">,</span> <span class="token number">287</span><span class="token punctuation">,</span> <span class="token number">13.5</span><span class="token punctuation">]</span>
    <span class="token punctuation">]</span>
  <span class="token punctuation">}</span><span class="token punctuation">,</span>
  visualMap<span class="token operator">:</span> <span class="token punctuation">{</span>
    show<span class="token operator">:</span> <span class="token boolean">false</span><span class="token punctuation">,</span>
    dimension<span class="token operator">:</span> <span class="token number">2</span><span class="token punctuation">,</span> <span class="token comment">// 指向第三列（列序号从 0 开始记，所以设置为 2）。</span>
    min<span class="token operator">:</span> <span class="token number">2</span><span class="token punctuation">,</span> <span class="token comment">// 需要给出数值范围，最小数值。</span>
    max<span class="token operator">:</span> <span class="token number">15</span><span class="token punctuation">,</span> <span class="token comment">// 需要给出数值范围，最大数值。</span>
    inRange<span class="token operator">:</span> <span class="token punctuation">{</span>
      <span class="token comment">// 气泡尺寸：5 像素到 60 像素。</span>
      symbolSize<span class="token operator">:</span> <span class="token punctuation">[</span><span class="token number">5</span><span class="token punctuation">,</span> <span class="token number">60</span><span class="token punctuation">]</span>
    <span class="token punctuation">}</span>
  <span class="token punctuation">}</span><span class="token punctuation">,</span>
  xAxis<span class="token operator">:</span> <span class="token punctuation">{</span><span class="token punctuation">}</span><span class="token punctuation">,</span>
  yAxis<span class="token operator">:</span> <span class="token punctuation">{</span><span class="token punctuation">}</span><span class="token punctuation">,</span>
  series<span class="token operator">:</span> <span class="token punctuation">{</span>
    type<span class="token operator">:</span> <span class="token string">'scatter'</span>
  <span class="token punctuation">}</span>
<span class="token punctuation">}</span><span class="token punctuation">;</span><br></pre></div></div></div> <div class="md-live-tag">live</div> <div class="clipboard" data-v-479657ca><svg xmlns="http://www.w3.org/2000/svg" fill="none" viewBox="0 0 24 24" stroke="currentColor" class="h-6 w-6" data-v-479657ca><svg xmlns="http://www.w3.org/2000/svg" fill="none" viewBox="0 0 24 24" stroke="currentColor" class="h-6 w-6" data-v-479657ca><path stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M8 5H6a2 2 0 00-2 2v12a2 2 0 002 2h10a2 2 0 002-2v-1M8 5a2 2 0 002 2h2a2 2 0 002-2M8 5a2 2 0 012-2h2a2 2 0 012 2m0 0h2a2 2 0 012 2v3m2 4H10m0 0l3-3m-3 3l3 3" data-v-479657ca></path></svg></svg></div></div> <div class="md-live-preview"></div></div> <p>问：encode 里指定了映射，但是不管用？</p> <p>答：可以查查有没有拼错，比如，维度名是：<code>'Life Expectancy'</code>，encode 中拼成了 <code>'Life Expectency'</code>。</p> <h2 id="%E8%A7%86%E8%A7%89%E9%80%9A%E9%81%93%EF%BC%88%E9%A2%9C%E8%89%B2%E3%80%81%E5%B0%BA%E5%AF%B8%E7%AD%89%EF%BC%89%E7%9A%84%E6%98%A0%E5%B0%84" tabindex="-1">视觉通道（颜色、尺寸等）的映射</h2> <p>我们可以使用 <a href="https://echarts.apache.org/option.html##visualMap">visualMap</a> 组件进行视觉通道的映射。详见 <a href="https://echarts.apache.org/option.html##visualMap">visualMap</a> 文档的介绍。这是一个 <a href="https://echarts.apache.org/examples/zh/editor.html?c=dataset-encode0&edit=1&reset=1">示例</a>。</p> <h2 id="%E6%95%B0%E6%8D%AE%E7%9A%84%E5%90%84%E7%A7%8D%E6%A0%BC%E5%BC%8F" tabindex="-1">数据的各种格式</h2> <p>多数常见图表中，数据适于用二维表的形式描述。广为使用的数据表格软件（如 MS Excel、Numbers）或者关系数据数据库都是二维表。他们的数据可以导出成 JSON 格式，输入到 <code>dataset.source</code> 中，在不少情况下可以免去一些数据处理的步骤。</p> <blockquote><p>假如数据导出成 csv 文件，那么可以使用一些 csv 工具如 <a href="https://github.com/d3/d3-dsv">dsv</a> 或者 <a href="https://github.com/mholt/PapaParse">PapaParse</a> 将 csv 转成 JSON。</p></blockquote> <p>在 JavaScript 常用的数据传输格式中，二维数组可以比较直观的存储二维表。前面的示例都是使用二维数组表示。</p> <p>除了二维数组以外，dataset 也支持例如下面 key-value 方式的数据格式，这类格式也非常常见。但是这类格式中，目前并不支持 <a href="https://echarts.apache.org/option.html##series.seriesLayoutBy">seriesLayoutBy</a> 参数。</p> <div class="md-code-block"><div class="nuxt-content-highlight"><pre class="language-js line-numbers"><code>dataset<span class="token operator">:</span> <span class="token punctuation">[</span>
  <span class="token punctuation">{</span>
    <span class="token comment">// 按行的 key-value 形式（对象数组），这是个比较常见的格式。</span>
    source<span class="token operator">:</span> <span class="token punctuation">[</span>
      <span class="token punctuation">{</span> product<span class="token operator">:</span> <span class="token string">'Matcha Latte'</span><span class="token punctuation">,</span> count<span class="token operator">:</span> <span class="token number">823</span><span class="token punctuation">,</span> score<span class="token operator">:</span> <span class="token number">95.8</span> <span class="token punctuation">}</span><span class="token punctuation">,</span>
      <span class="token punctuation">{</span> product<span class="token operator">:</span> <span class="token string">'Milk Tea'</span><span class="token punctuation">,</span> count<span class="token operator">:</span> <span class="token number">235</span><span class="token punctuation">,</span> score<span class="token operator">:</span> <span class="token number">81.4</span> <span class="token punctuation">}</span><span class="token punctuation">,</span>
      <span class="token punctuation">{</span> product<span class="token operator">:</span> <span class="token string">'Cheese Cocoa'</span><span class="token punctuation">,</span> count<span class="token operator">:</span> <span class="token number">1042</span><span class="token punctuation">,</span> score<span class="token operator">:</span> <span class="token number">91.2</span> <span class="token punctuation">}</span><span class="token punctuation">,</span>
      <span class="token punctuation">{</span> product<span class="token operator">:</span> <span class="token string">'Walnut Brownie'</span><span class="token punctuation">,</span> count<span class="token operator">:</span> <span class="token number">988</span><span class="token punctuation">,</span> score<span class="token operator">:</span> <span class="token number">76.9</span> <span class="token punctuation">}</span>
    <span class="token punctuation">]</span>
  <span class="token punctuation">}</span><span class="token punctuation">,</span>
  <span class="token punctuation">{</span>
    <span class="token comment">// 按列的 key-value 形式。</span>
    source<span class="token operator">:</span> <span class="token punctuation">{</span>
      product<span class="token operator">:</span> <span class="token punctuation">[</span><span class="token string">'Matcha Latte'</span><span class="token punctuation">,</span> <span class="token string">'Milk Tea'</span><span class="token punctuation">,</span> <span class="token string">'Cheese Cocoa'</span><span class="token punctuation">,</span> <span class="token string">'Walnut Brownie'</span><span class="token punctuation">]</span><span class="token punctuation">,</span>
      count<span class="token operator">:</span> <span class="token punctuation">[</span><span class="token number">823</span><span class="token punctuation">,</span> <span class="token number">235</span><span class="token punctuation">,</span> <span class="token number">1042</span><span class="token punctuation">,</span> <span class="token number">988</span><span class="token punctuation">]</span><span class="token punctuation">,</span>
      score<span class="token operator">:</span> <span class="token punctuation">[</span><span class="token number">95.8</span><span class="token punctuation">,</span> <span class="token number">81.4</span><span class="token punctuation">,</span> <span class="token number">91.2</span><span class="token punctuation">,</span> <span class="token number">76.9</span><span class="token punctuation">]</span>
    <span class="token punctuation">}</span>
  <span class="token punctuation">}</span>
<span class="token punctuation">]</span><span class="token punctuation">;</span></code></pre></div> <!----> <div class="clipboard" data-v-479657ca><svg xmlns="http://www.w3.org/2000/svg" fill="none" viewBox="0 0 24 24" stroke="currentColor" class="h-6 w-6" data-v-479657ca><svg xmlns="http://www.w3.org/2000/svg" fill="none" viewBox="0 0 24 24" stroke="currentColor" class="h-6 w-6" data-v-479657ca><path stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M8 5H6a2 2 0 00-2 2v12a2 2 0 002 2h10a2 2 0 002-2v-1M8 5a2 2 0 002 2h2a2 2 0 002-2M8 5a2 2 0 012-2h2a2 2 0 012 2m0 0h2a2 2 0 012 2v3m2 4H10m0 0l3-3m-3 3l3 3" data-v-479657ca></path></svg></svg></div></div> <h2 id="%E5%A4%9A%E4%B8%AA-dataset-%E4%BB%A5%E5%8F%8A%E5%A6%82%E4%BD%95%E5%BC%95%E7%94%A8%E4%BB%96%E4%BB%AC" tabindex="-1">多个 dataset 以及如何引用他们</h2> <p>可以同时定义多个 dataset。系列可以通过 <a href="https://echarts.apache.org/option.html##series.datasetIndex">series.datasetIndex</a> 来指定引用哪个 dataset。例如：</p> <div class="md-code-block"><div class="nuxt-content-highlight"><pre class="language-js line-numbers"><code><span class="token keyword">var</span> option <span class="token operator">=</span> <span class="token punctuation">{</span>
  dataset<span class="token operator">:</span> <span class="token punctuation">[</span>
    <span class="token punctuation">{</span>
      <span class="token comment">// 序号为 0 的 dataset。</span>
      source<span class="token operator">:</span> <span class="token punctuation">[</span><span class="token punctuation">]</span>
    <span class="token punctuation">}</span><span class="token punctuation">,</span>
    <span class="token punctuation">{</span>
      <span class="token comment">// 序号为 1 的 dataset。</span>
      source<span class="token operator">:</span> <span class="token punctuation">[</span><span class="token punctuation">]</span>
    <span class="token punctuation">}</span><span class="token punctuation">,</span>
    <span class="token punctuation">{</span>
      <span class="token comment">// 序号为 2 的 dataset。</span>
      source<span class="token operator">:</span> <span class="token punctuation">[</span><span class="token punctuation">]</span>
    <span class="token punctuation">}</span>
  <span class="token punctuation">]</span><span class="token punctuation">,</span>
  series<span class="token operator">:</span> <span class="token punctuation">[</span>
    <span class="token punctuation">{</span>
      <span class="token comment">// 使用序号为 2 的 dataset。</span>
      datasetIndex<span class="token operator">:</span> <span class="token number">2</span>
    <span class="token punctuation">}</span><span class="token punctuation">,</span>
    <span class="token punctuation">{</span>
      <span class="token comment">// 使用序号为 1 的 dataset。</span>
      datasetIndex<span class="token operator">:</span> <span class="token number">1</span>
    <span class="token punctuation">}</span>
  <span class="token punctuation">]</span>
<span class="token punctuation">}</span><span class="token punctuation">;</span></code></pre></div> <!----> <div class="clipboard" data-v-479657ca><svg xmlns="http://www.w3.org/2000/svg" fill="none" viewBox="0 0 24 24" stroke="currentColor" class="h-6 w-6" data-v-479657ca><svg xmlns="http://www.w3.org/2000/svg" fill="none" viewBox="0 0 24 24" stroke="currentColor" class="h-6 w-6" data-v-479657ca><path stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M8 5H6a2 2 0 00-2 2v12a2 2 0 002 2h10a2 2 0 002-2v-1M8 5a2 2 0 002 2h2a2 2 0 002-2M8 5a2 2 0 012-2h2a2 2 0 012 2m0 0h2a2 2 0 012 2v3m2 4H10m0 0l3-3m-3 3l3 3" data-v-479657ca></path></svg></svg></div></div> <h2 id="echarts-3-%E7%9A%84%E6%95%B0%E6%8D%AE%E8%AE%BE%E7%BD%AE%E6%96%B9%E5%BC%8F%EF%BC%88series.data%EF%BC%89%E4%BB%8D%E6%AD%A3%E5%B8%B8%E4%BD%BF%E7%94%A8" tabindex="-1">ECharts 3 的数据设置方式（series.data）仍正常使用</h2> <p>ECharts 4 之前一直以来的数据声明方式仍然被正常支持，如果系列已经声明了 <a href="https://echarts.apache.org/option.html##series.data">series.data</a>， 那么就会使用 <a href="https://echarts.apache.org/option.html##series.data">series.data</a> 而非 <code>dataset</code>。</p> <div class="md-live layout-tb"><div class="md-live-editor"><div class="md-live-editor-container"><div class="prism-editor-wrapper"><div class="prism-editor__container"><textarea spellcheck="false" autocapitalize="off" autocomplete="off" autocorrect="off" data-gramm="false" placeholder="" data-testid="textarea" class="prism-editor__textarea">option = {
  xAxis: {
    type: 'category',
    data: ['Matcha Latte', 'Milk Tea', 'Cheese Cocoa', 'Walnut Brownie']
  },
  yAxis: {},
  series: [
    {
      type: 'bar',
      name: '2015',
      data: [89.3, 92.1, 94.4, 85.4]
    },
    {
      type: 'bar',
      name: '2016',
      data: [95.8, 89.4, 91.2, 76.9]
    },
    {
      type: 'bar',
      name: '2017',
      data: [97.7, 83.1, 92.5, 78.1]
    }
  ]
};</textarea><pre data-testid="preview" class="prism-editor__editor">option <span class="token operator">=</span> <span class="token punctuation">{</span>
  xAxis<span class="token operator">:</span> <span class="token punctuation">{</span>
    type<span class="token operator">:</span> <span class="token string">'category'</span><span class="token punctuation">,</span>
    data<span class="token operator">:</span> <span class="token punctuation">[</span><span class="token string">'Matcha Latte'</span><span class="token punctuation">,</span> <span class="token string">'Milk Tea'</span><span class="token punctuation">,</span> <span class="token string">'Cheese Cocoa'</span><span class="token punctuation">,</span> <span class="token string">'Walnut Brownie'</span><span class="token punctuation">]</span>
  <span class="token punctuation">}</span><span class="token punctuation">,</span>
  yAxis<span class="token operator">:</span> <span class="token punctuation">{</span><span class="token punctuation">}</span><span class="token punctuation">,</span>
  series<span class="token operator">:</span> <span class="token punctuation">[</span>
    <span class="token punctuation">{</span>
      type<span class="token operator">:</span> <span class="token string">'bar'</span><span class="token punctuation">,</span>
      name<span class="token operator">:</span> <span class="token string">'2015'</span><span class="token punctuation">,</span>
      data<span class="token operator">:</span> <span class="token punctuation">[</span><span class="token number">89.3</span><span class="token punctuation">,</span> <span class="token number">92.1</span><span class="token punctuation">,</span> <span class="token number">94.4</span><span class="token punctuation">,</span> <span class="token number">85.4</span><span class="token punctuation">]</span>
    <span class="token punctuation">}</span><span class="token punctuation">,</span>
    <span class="token punctuation">{</span>
      type<span class="token operator">:</span> <span class="token string">'bar'</span><span class="token punctuation">,</span>
      name<span class="token operator">:</span> <span class="token string">'2016'</span><span class="token punctuation">,</span>
      data<span class="token operator">:</span> <span class="token punctuation">[</span><span class="token number">95.8</span><span class="token punctuation">,</span> <span class="token number">89.4</span><span class="token punctuation">,</span> <span class="token number">91.2</span><span class="token punctuation">,</span> <span class="token number">76.9</span><span class="token punctuation">]</span>
    <span class="token punctuation">}</span><span class="token punctuation">,</span>
    <span class="token punctuation">{</span>
      type<span class="token operator">:</span> <span class="token string">'bar'</span><span class="token punctuation">,</span>
      name<span class="token operator">:</span> <span class="token string">'2017'</span><span class="token punctuation">,</span>
      data<span class="token operator">:</span> <span class="token punctuation">[</span><span class="token number">97.7</span><span class="token punctuation">,</span> <span class="token number">83.1</span><span class="token punctuation">,</span> <span class="token number">92.5</span><span class="token punctuation">,</span> <span class="token number">78.1</span><span class="token punctuation">]</span>
    <span class="token punctuation">}</span>
  <span class="token punctuation">]</span>
<span class="token punctuation">}</span><span class="token punctuation">;</span><br></pre></div></div></div> <div class="md-live-tag">live</div> <div class="clipboard" data-v-479657ca><svg xmlns="http://www.w3.org/2000/svg" fill="none" viewBox="0 0 24 24" stroke="currentColor" class="h-6 w-6" data-v-479657ca><svg xmlns="http://www.w3.org/2000/svg" fill="none" viewBox="0 0 24 24" stroke="currentColor" class="h-6 w-6" data-v-479657ca><path stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M8 5H6a2 2 0 00-2 2v12a2 2 0 002 2h10a2 2 0 002-2v-1M8 5a2 2 0 002 2h2a2 2 0 002-2M8 5a2 2 0 012-2h2a2 2 0 012 2m0 0h2a2 2 0 012 2v3m2 4H10m0 0l3-3m-3 3l3 3" data-v-479657ca></path></svg></svg></div></div> <div class="md-live-preview"></div></div> <p>其实，<a href="https://echarts.apache.org/option.html##series.data">series.data</a> 也是种会一直存在的重要设置方式。一些特殊的非 table 格式的图表，如 <a href="https://echarts.apache.org/option.html##series-treemap">treemap</a>、<a href="https://echarts.apache.org/option.html##series-graph">graph</a>、<a href="https://echarts.apache.org/option.html##series-lines">lines</a> 等，现在仍不支持在 dataset 中设置，仍然需要使用 <a href="https://echarts.apache.org/option.html##series.data">series.data</a>。另外，对于巨大数据量的渲染（如百万以上的数据量），需要使用 <a href="api.html#echartsInstance.appendData">appendData</a> 进行增量加载，这种情况不支持使用 <code>dataset</code>。</p> <h2 id="%E5%85%B6%E4%BB%96" tabindex="-1">其他</h2> <p>目前并非所有图表都支持 dataset。支持 dataset 的图表有：
<code>line</code>、<code>bar</code>、<code>pie</code>、<code>scatter</code>、<code>effectScatter</code>、<code>parallel</code>、<code>candlestick</code>、<code>map</code>、<code>funnel</code>、<code>custom</code>。
后续会有更多的图表进行支持。</p> <p>最后，给出这个 <a href="https://echarts.apache.org/examples/zh/editor.html?c=dataset-link&edit=1&reset=1">示例</a>，多个图表共享一个 <code>dataset</code>，并带有联动交互。</p></article></div></div> <div class="post-contributors"><h3><span class="inline-block align-middle">本文贡献者</span> <a target="_blank" href="https://github.com/apache/echarts-handbook/tree/master/contents/zh/concepts/dataset.md" title="编辑本文" class="inline-block align-middle text-sm"><svg xmlns="http://www.w3.org/2000/svg" fill="none" viewBox="0 0 24 24" stroke="currentColor" class="h-8 w-8 inline-block align-middle"><path stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M11 5H6a2 2 0 00-2 2v11a2 2 0 002 2h11a2 2 0 002-2v-5m-1.414-9.414a2 2 0 112.828 2.828L11.828 15H9v-2.828l8.586-8.586z"></path></svg> <span class="inline-block align-middle">在 GitHub 上编辑本页</span></a></h3> <div class="post-contributors-list"><a href="https://github.com/pissang" target="_blank" class="post-contributor"><img alt="pissang" src="https://avatars.githubusercontent.com/pissang?size=60"> <span>pissang</span></a><a href="https://github.com/100pah" target="_blank" class="post-contributor"><img alt="100pah" src="https://avatars.githubusercontent.com/100pah?size=60"> <span>100pah</span></a><a href="https://github.com/Ovilia" target="_blank" class="post-contributor"><img alt="Ovilia" src="https://avatars.githubusercontent.com/Ovilia?size=60"> <span>Ovilia</span></a></div></div></div></div></div></div> <link rel="stylesheet" href="//fastly.jsdelivr.net/npm/highlight.js@9.12.0/styles/github-gist.min.css"></div></div></div></div><script>window.__NUXT__=function(e,i,g,t,d,I,l,o,a,C,n,A,s,c,r,h,p,B,u,m,y,b,E,L,v,W,O,D,w,Z,J,j,H,z,Y,M,X,S,G,K,k,N,f,T,F,x,Q,R,V,U,q,P,_,$,ee,ie,ge,te,de){return{layout:"default",data:[{html:'<h1 id="%E6%95%B0%E6%8D%AE%E9%9B%86" tabindex="-1">数据集</h1>\n<p><code>数据集</code>（<code>dataset</code>）是专门用来管理数据的组件。虽然每个系列都可以在 <code>series.data</code> 中设置数据，但是从 ECharts4 支持 <code>数据集</code> 开始，更推荐使用 <code>数据集</code> 来管理数据。因为这样，数据可以被多个组件复用，也方便进行 “数据和其他配置” 分离的配置风格。毕竟，在运行时，数据是最常改变的，而其他配置大多并不会改变。</p>\n<h2 id="%E5%9C%A8%E7%B3%BB%E5%88%97%E4%B8%AD%E8%AE%BE%E7%BD%AE%E6%95%B0%E6%8D%AE" tabindex="-1">在系列中设置数据</h2>\n<p>如果数据设置在 <code>系列</code>（<code>series</code>）中，例如：</p>\n<md-live lang="js" code="\'b3B0aW9uID0gewogIHhBeGlzOiB7CiAgICB0eXBlOiAnY2F0ZWdvcnknLAogICAgZGF0YTogWydNYXRjaGEgTGF0dGUnLCAnTWlsayBUZWEnLCAnQ2hlZXNlIENvY29hJywgJ1dhbG51dCBCcm93bmllJ10KICB9LAogIHlBeGlzOiB7fSwKICBzZXJpZXM6IFsKICAgIHsKICAgICAgdHlwZTogJ2JhcicsCiAgICAgIG5hbWU6ICcyMDE1JywKICAgICAgZGF0YTogWzg5LjMsIDkyLjEsIDk0LjQsIDg1LjRdCiAgICB9LAogICAgewogICAgICB0eXBlOiAnYmFyJywKICAgICAgbmFtZTogJzIwMTYnLAogICAgICBkYXRhOiBbOTUuOCwgODkuNCwgOTEuMiwgNzYuOV0KICAgIH0sCiAgICB7CiAgICAgIHR5cGU6ICdiYXInLAogICAgICBuYW1lOiAnMjAxNycsCiAgICAgIGRhdGE6IFs5Ny43LCA4My4xLCA5Mi41LCA3OC4xXQogICAgfQogIF0KfTs\'" v-bind="{}" />\n<p>这种方式的优点是，适于对一些特殊的数据结构（如“树”、“图”、超大数据）进行一定的数据类型定制。\n但是缺点是，常需要用户先处理数据，把数据分割设置到各个系列（和类目轴）中。此外，不利于多个系列共享一份数据，也不利于基于原始数据进行图表类型、系列的映射安排。</p>\n<h2 id="%E5%9C%A8%E6%95%B0%E6%8D%AE%E9%9B%86%E4%B8%AD%E8%AE%BE%E7%BD%AE%E6%95%B0%E6%8D%AE" tabindex="-1">在数据集中设置数据</h2>\n<p>而数据设置在 <code>数据集</code>（<code>dataset</code>）中，会有这些好处：</p>\n<ul>\n<li>能够贴近数据可视化常见思维方式：（I）提供数据，（II）指定数据到视觉的映射，从而形成图表。</li>\n<li>数据和其他配置可以被分离开来。数据常变，其他配置常不变。分开易于分别管理。</li>\n<li>数据可以被多个系列或者组件复用，对于大数据量的场景，不必为每个系列创建一份数据。</li>\n<li>支持更多的数据的常用格式，例如二维数组、对象数组等，一定程度上避免使用者为了数据格式而进行转换。</li>\n</ul>\n<p>下面是一个最简单的 <code>dataset</code> 的例子：</p>\n<md-live lang="js" code="\'b3B0aW9uID0gewogIGxlZ2VuZDoge30sCiAgdG9vbHRpcDoge30sCiAgZGF0YXNldDogewogICAgLy8g5o-Q5L6b5LiA5Lu95pWw5o2u44CCCiAgICBzb3VyY2U6IFsKICAgICAgWydwcm9kdWN0JywgJzIwMTUnLCAnMjAxNicsICcyMDE3J10sCiAgICAgIFsnTWF0Y2hhIExhdHRlJywgNDMuMywgODUuOCwgOTMuN10sCiAgICAgIFsnTWlsayBUZWEnLCA4My4xLCA3My40LCA1NS4xXSwKICAgICAgWydDaGVlc2UgQ29jb2EnLCA4Ni40LCA2NS4yLCA4Mi41XSwKICAgICAgWydXYWxudXQgQnJvd25pZScsIDcyLjQsIDUzLjksIDM5LjFdCiAgICBdCiAgfSwKICAvLyDlo7DmmI7kuIDkuKogWCDovbTvvIznsbvnm67ovbTvvIhjYXRlZ29yee-8ieOAgum7mOiupOaDheWGteS4i--8jOexu-ebrui9tOWvueW6lOWIsCBkYXRhc2V0IOesrOS4gOWIl-OAggogIHhBeGlzOiB7IHR5cGU6ICdjYXRlZ29yeScgfSwKICAvLyDlo7DmmI7kuIDkuKogWSDovbTvvIzmlbDlgLzovbTjgIIKICB5QXhpczoge30sCiAgLy8g5aOw5piO5aSa5LiqIGJhciDns7vliJfvvIzpu5jorqTmg4XlhrXkuIvvvIzmr4_kuKrns7vliJfkvJroh6rliqjlr7nlupTliLAgZGF0YXNldCDnmoTmr4_kuIDliJfjgIIKICBzZXJpZXM6IFt7IHR5cGU6ICdiYXInIH0sIHsgdHlwZTogJ2JhcicgfSwgeyB0eXBlOiAnYmFyJyB9XQp9Ow\'" v-bind="{}" />\n<p>或者也可以使用常见的“对象数组”的格式：</p>\n<md-live lang="js" code="\'b3B0aW9uID0gewogIGxlZ2VuZDoge30sCiAgdG9vbHRpcDoge30sCiAgZGF0YXNldDogewogICAgLy8g55SoIGRpbWVuc2lvbnMg5oyH5a6a5LqG57u05bqm55qE6aG65bqP44CC55u06KeS5Z2Q5qCH57O75Lit77yM5aaC5p6cIFgg6L20IHR5cGUg5Li6IGNhdGVnb3J577yMCiAgICAvLyDpu5jorqTmiornrKzkuIDkuKrnu7TluqbmmKDlsITliLAgWCDovbTkuIrvvIzlkI7pnaLnu7TluqbmmKDlsITliLAgWSDovbTkuIrjgIIKICAgIC8vIOWmguaenOS4jeaMh-WumiBkaW1lbnNpb25z77yM5Lmf5Y-v5Lul6YCa6L-H5oyH5a6aIHNlcmllcy5lbmNvZGUKICAgIC8vIOWujOaIkOaYoOWwhO-8jOWPguingeWQjuaWh-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\'" v-bind="{}" />\n<h2 id="%E6%95%B0%E6%8D%AE%E5%88%B0%E5%9B%BE%E5%BD%A2%E7%9A%84%E6%98%A0%E5%B0%84" tabindex="-1">数据到图形的映射</h2>\n<p>如上所述，数据可视化的一个常见思路是：（I）提供数据，（II）指定数据到视觉的映射。</p>\n<p>简而言之，可以进行这些映射的设定：</p>\n<ul>\n<li>指定 <code>数据集</code> 的列（column）还是行（row）映射为 <code>系列</code>（<code>series</code>）。这件事可以使用 <a href="https://echarts.apache.org/option.html##series.seriesLayoutBy">series.seriesLayoutBy</a> 属性来配置。默认是按照列（column）来映射。</li>\n<li>指定维度映射的规则：如何从 dataset 的维度（一个“维度”的意思是一行/列）映射到坐标轴（如 X、Y 轴）、提示框（tooltip）、标签（label）、图形元素大小颜色等（visualMap）。这件事可以使用 <a href="https://echarts.apache.org/option.html##series.encode">series.encode</a> 属性，以及 <a href="https://echarts.apache.org/option.html##visualMap">visualMap</a> 组件来配置（如果有需要映射颜色大小等视觉维度的话）。上面的例子中，没有给出这种映射配置，那么 ECharts 就按最常见的理解进行默认映射：X 坐标轴声明为类目轴，默认情况下会自动对应到 <code>dataset.source</code> 中的第一列；三个柱图系列，一一对应到 <code>dataset.source</code> 中后面每一列。</li>\n</ul>\n<p>下面详细解释这些映射的设定。</p>\n<h2 id="%E6%8A%8A%E6%95%B0%E6%8D%AE%E9%9B%86%EF%BC%88-dataset-%EF%BC%89%E7%9A%84%E8%A1%8C%E6%88%96%E5%88%97%E6%98%A0%E5%B0%84%E4%B8%BA%E7%B3%BB%E5%88%97%EF%BC%88series%EF%BC%89" tabindex="-1">把数据集（ dataset ）的行或列映射为系列（series）</h2>\n<p>有了数据表之后，使用者可以灵活地配置：数据如何对应到轴和图形系列。</p>\n<p>用户可以使用 <code>seriesLayoutBy</code> 配置项，改变图表对于行列的理解。<code>seriesLayoutBy</code> 可取值：</p>\n<ul>\n<li>\'column\': 默认值。系列被安放到 <code>dataset</code> 的列上面。</li>\n<li>\'row\': 系列被安放到 <code>dataset</code> 的行上面。</li>\n</ul>\n<p>看这个例子：</p>\n<md-live lang="js" code="\'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-Z5Yeg5Liq57O75YiX5Lya5Ye6546w5Zyo56ys5LiA5Liq55u06KeS5Z2Q5qCH57O75Lit77yM5q-P5Liq57O75YiX5a-55bqU5YiwIGRhdGFzZXQg55qE5q-P5LiA6KGM44CCCiAgICB7IHR5cGU6ICdiYXInLCBzZXJpZXNMYXlvdXRCeTogJ3JvdycgfSwKICAgIHsgdHlwZTogJ2JhcicsIHNlcmllc0xheW91dEJ5OiAncm93JyB9LAogICAgeyB0eXBlOiAnYmFyJywgc2VyaWVzTGF5b3V0Qnk6ICdyb3cnIH0sCiAgICAvLyDov5nlh6DkuKrns7vliJfkvJrlh7rnjrDlnKjnrKzkuozkuKrnm7Top5LlnZDmoIfns7vkuK3vvIzmr4_kuKrns7vliJflr7nlupTliLAgZGF0YXNldCDnmoTmr4_kuIDliJfjgIIKICAgIHsgdHlwZTogJ2JhcicsIHhBeGlzSW5kZXg6IDEsIHlBeGlzSW5kZXg6IDEgfSwKICAgIHsgdHlwZTogJ2JhcicsIHhBeGlzSW5kZXg6IDEsIHlBeGlzSW5kZXg6IDEgfSwKICAgIHsgdHlwZTogJ2JhcicsIHhBeGlzSW5kZXg6IDEsIHlBeGlzSW5kZXg6IDEgfSwKICAgIHsgdHlwZTogJ2JhcicsIHhBeGlzSW5kZXg6IDEsIHlBeGlzSW5kZXg6IDEgfQogIF0KfTs\'" v-bind="{}" />\n<h2 id="%E7%BB%B4%E5%BA%A6%EF%BC%88-dimension-%EF%BC%89" tabindex="-1">维度（ dimension ）</h2>\n<p>常用图表所描述的数据大部分是“二维表”结构，上述的例子中，我们都使用二维数组来容纳二维表。现在，当我们把系列（ series ）对应到“列”的时候，那么每一列就称为一个“维度（ dimension ）”，而每一行称为数据项（ item ）。反之，如果我们把系列（ series ）对应到表行，那么每一行就是“维度（ dimension ）”，每一列就是数据项（ item ）。</p>\n<p>维度可以有单独的名字，便于在图表中显示。维度名（ dimension name ）可以在定义在 dataset 的第一行（或者第一列）。例如上面的例子中，<code>\'score\'</code>、<code>\'amount\'</code>、<code>\'product\'</code> 就是维度名。从第二行开始，才是正式的数据。<code>dataset.source</code> 中第一行（列）到底包含不包含维度名，ECharts 默认会自动探测。当然也可以设置 <code>dataset.sourceHeader: true</code> 显示声明第一行（列）就是维度，或者 <code>dataset.sourceHeader: false</code> 表明第一行（列）开始就直接是数据。</p>\n<p>维度的定义，也可以使用单独的 <code>dataset.dimensions</code> 或者 <code>series.dimensions</code> 来定义，这样可以同时指定维度名，和维度的类型（ dimension type ）：</p>\n<md-code-block lang="js" code="\'dmFyIG9wdGlvbjEgPSB7CiAgZGF0YXNldDogewogICAgZGltZW5zaW9uczogWwogICAgICB7IG5hbWU6ICdzY29yZScgfSwKICAgICAgLy8g5Y-v5Lul566A5YaZ5Li6IHN0cmluZyDvvIzooajnpLogZGltZW5zaW9uIG5hbWUg44CCCiAgICAgICdhbW91bnQnLAogICAgICAvLyDlj6_ku6XlnKggdHlwZSDkuK3mjIflrprnu7TluqbnsbvlnovjgIIKICAgICAgeyBuYW1lOiAncHJvZHVjdCcsIHR5cGU6ICdvcmRpbmFsJyB9CiAgICBdLAogICAgc291cmNlOiBbCiAgICAgIC8vLi4uCiAgICBdCiAgfQogIC8vIC4uLgp9OwoKdmFyIG9wdGlvbjIgPSB7CiAgZGF0YXNldDogewogICAgc291cmNlOiBbCiAgICAgIC8vIC4uLgogICAgXQogIH0sCiAgc2VyaWVzOiB7CiAgICB0eXBlOiAnbGluZScsCiAgICAvLyBzZXJpZXMuZGltZW5zaW9ucyDkvJrmm7TkvJjlhYjkuo4gZGF0YXNldC5kaW1lbnNpb24g6YeH57qz44CCCiAgICBkaW1lbnNpb25zOiBbCiAgICAgIG51bGwsIC8vIOWPr-S7peiuvue9ruS4uiBudWxsIOihqOekuuS4jeaDs-iuvue9rue7tOW6puWQjQogICAgICAnYW1vdW50JywKICAgICAgeyBuYW1lOiAncHJvZHVjdCcsIHR5cGU6ICdvcmRpbmFsJyB9CiAgICBdCiAgfQogIC8vIC4uLgp9Ow\'" line-highlights="\'\'" />\n<p>大多数情况下，我们并不需要去设置维度类型，因为 ECharts 会自动尝试判断。但是如果不足够准确时，可以手动设置维度类型。</p>\n<p>维度类型（ dimension type ）可以取这些值：</p>\n<ul>\n<li><code>\'number\'</code>: 默认，表示普通数据。</li>\n<li><code>\'ordinal\'</code>: 对于类目、文本这些 string 类型的数据，如果需要能在数轴上使用，须是 \'ordinal\' 类型。ECharts 默认会试图自动判断这个类型。但是自动判断也可能不准确，所以使用者也可以手动强制指定。</li>\n<li><code>\'time\'</code>: 表示时间数据。设置成 <code>\'time\'</code> 则能支持自动解析数据成时间戳（timestamp），比如该维度的数据是 \'2017-05-10\'，会自动被解析。如果这个维度被用在时间数轴（<a href="https://echarts.apache.org/option.html##xAxis.type">axis.type</a> 为 <code>\'time\'</code>）上，那么会被自动设置为 <code>\'time\'</code> 类型。时间类型的支持参见 <a href="https://echarts.apache.org/option.html##series.data">data</a>。</li>\n<li><code>\'float\'</code>: 如果设置成 <code>\'float\'</code>，在存储时候会使用 <code>TypedArray</code>，对性能优化有好处。</li>\n<li><code>\'int\'</code>: 如果设置成 <code>\'int\'</code>，在存储时候会使用 <code>TypedArray</code>，对性能优化有好处。</li>\n</ul>\n<h2 id="%E6%95%B0%E6%8D%AE%E5%88%B0%E5%9B%BE%E5%BD%A2%E7%9A%84%E6%98%A0%E5%B0%84%EF%BC%88-series.encode-%EF%BC%89" tabindex="-1">数据到图形的映射（ series.encode ）</h2>\n<p>了解了维度的概念后，我们就可以使用 <a href="https://echarts.apache.org/option.html##series.encode">series.encode</a> 来做映射。总体是这样的感觉：</p>\n<md-live lang="js" code="\'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-aYoOWwhOWIsCBYIOi9tOOAggogICAgICAgIHg6ICdhbW91bnQnLAogICAgICAgIC8vIOWwhiAicHJvZHVjdCIg5YiX5pig5bCE5YiwIFkg6L2044CCCiAgICAgICAgeTogJ3Byb2R1Y3QnCiAgICAgIH0KICAgIH0KICBdCn07\'" v-bind="{}" />\n<p><code>series.encode</code> 声明的基本结构如下。其中冒号左边是坐标系、标签等特定名称，如 <code>\'x\'</code>, <code>\'y\'</code>, <code>\'tooltip\'</code> 等，冒号右边是数据中的维度名（string 格式）或者维度的序号（number 格式，从 0 开始计数），可以指定一个或多个维度（使用数组）。通常情况下，下面各种信息不需要所有的都写，按需写即可。</p>\n<p>下面是 <code>series.encode</code> 支持的属性：</p>\n<md-code-block lang="js" code="\'Ly8g5Zyo5Lu75L2V5Z2Q5qCH57O75ZKM57O75YiX5Lit77yM6YO95pSv5oyB77yaCmVuY29kZTogewogIC8vIOS9v-eUqCDigJzlkI3kuLogcHJvZHVjdCDnmoTnu7TluqbigJ0g5ZKMIOKAnOWQjeS4uiBzY29yZSDnmoTnu7TluqbigJ0g55qE5YC85ZyoIHRvb2x0aXAg5Lit5pi-56S6CiAgdG9vbHRpcDogWydwcm9kdWN0JywgJ3Njb3JlJ10KICAvLyDkvb_nlKgg4oCc57u05bqmIDHigJ0g5ZKMIOKAnOe7tOW6piAz4oCdIOeahOe7tOW6puWQjei_nui1t-adpeS9nOS4uuezu-WIl-WQjeOAgu-8iOacieaXtuWAmeWQjeWtl-avlOi-g-mVv--8jOi_meWPr-S7pemBv-WFjeWcqCBzZXJpZXMubmFtZSDph43lpI3ovpPlhaXov5nkupvlkI3lrZfvvIkKICBzZXJpZXNOYW1lOiBbMSwgM10sCiAgLy8g6KGo56S65L2_55SoIOKAnOe7tOW6pjLigJ0g5Lit55qE5YC85L2c5Li6IGlk44CC6L-Z5Zyo5L2_55SoIHNldE9wdGlvbiDliqjmgIHmm7TmlrDmlbDmja7ml7bmnInnlKjlpITvvIzlj6_ku6Xkvb_mlrDogIHmlbDmja7nlKggaWQg5a-55bqU6LW35p2l77yM5LuO6ICM6IO95aSf5Lqn55Sf5ZCI6YCC55qE5pWw5o2u5pu05paw5Yqo55S744CCCiAgaXRlbUlkOiAyLAogIC8vIOaMh-WumuaVsOaNrumhueeahOWQjeensOS9v-eUqCDigJznu7TluqYz4oCdIOWcqOmlvOWbvuetieWbvuihqOS4reacieeUqO-8jOWPr-S7peS9v-i_meS4quWQjeWtl-aYvuekuuWcqOWbvuS-i--8iGxlZ2VuZO-8ieS4reOAggogIGl0ZW1OYW1lOiAzCn0KCi8vIOebtOinkuWdkOagh-ezu--8iGdyaWQvY2FydGVzaWFu77yJ54m55pyJ55qE5bGe5oCn77yaCmVuY29kZTogewogIC8vIOaKiiDigJznu7TluqYx4oCd44CB4oCc57u05bqmNeKAneOAgeKAnOWQjeS4uiBzY29yZSDnmoTnu7TluqbigJ0g5pig5bCE5YiwIFgg6L2077yaCiAgeDogWzEsIDUsICdzY29yZSddLAogIC8vIOaKiuKAnOe7tOW6pjDigJ3mmKDlsITliLAgWSDovbTjgIIKICB5OiAwCn0KCi8vIOWNlei9tO-8iHNpbmdsZUF4aXPvvInnibnmnInnmoTlsZ7mgKfvvJoKZW5jb2RlOiB7CiAgc2luZ2xlOiAzCn0KCi8vIOaegeWdkOagh-ezu--8iHBvbGFy77yJ54m55pyJ55qE5bGe5oCn77yaCmVuY29kZTogewogIHJhZGl1czogMywKICBhbmdsZTogMgp9CgovLyDlnLDnkIblnZDmoIfns7vvvIhnZW_vvInnibnmnInnmoTlsZ7mgKfvvJoKZW5jb2RlOiB7CiAgbG5nOiAzLAogIGxhdDogMgp9CgovLyDlr7nkuo7kuIDkupvmsqHmnInlnZDmoIfns7vnmoTlm77ooajvvIzkvovlpoLppbzlm77jgIHmvI_mlpflm77nrYnvvIzlj6_ku6XmmK_vvJoKZW5jb2RlOiB7CiAgdmFsdWU6IDMKfQ\'" line-highlights="\'\'" />\n<p>这是个更丰富的 <code>series.encode</code> 的 <a href="https://echarts.apache.org/examples/zh/editor.html?c=dataset-encode1&amp;edit=1&amp;reset=1">示例</a> 。</p>\n<h2 id="%E9%BB%98%E8%AE%A4%E7%9A%84-series.encode" tabindex="-1">默认的 series.encode</h2>\n<p>值得一提的是，当 <code>series.encode</code> 并没有指定时，ECharts 针对最常见直角坐标系中的图表（折线图、柱状图、散点图、K 线图等）、饼图、漏斗图，会采用一些默认的映射规则。默认的映射规则比较简单，大体是：</p>\n<ul>\n<li>在坐标系中（如直角坐标系、极坐标系等）\n<ul>\n<li>如果有类目轴（axis.type 为 \'category\'），则将第一列（行）映射到这个轴上，后续每一列（行）对应一个系列。</li>\n<li>如果没有类目轴，假如坐标系有两个轴（例如直角坐标系的 X Y 轴），则每两列对应一个系列，这两列分别映射到这两个轴上。</li>\n</ul>\n</li>\n<li>如果没有坐标系（如饼图）\n<ul>\n<li>取第一列（行）为名字，第二列（行）为数值（如果只有一列，则取第一列为数值）。</li>\n</ul>\n</li>\n</ul>\n<p>默认的规则不能满足要求时，就可以自己来配置 <code>encode</code>，也并不复杂。这是一个 <a href="https://echarts.apache.org/examples/zh/editor.html?c=dataset-default&amp;edit=1&amp;reset=1">例子</a>。</p>\n<h2 id="%E5%87%A0%E4%B8%AA%E5%B8%B8%E8%A7%81%E7%9A%84-series.encode-%E8%AE%BE%E7%BD%AE%E6%96%B9%E5%BC%8F%E4%B8%BE%E4%BE%8B" tabindex="-1">几个常见的 series.encode 设置方式举例</h2>\n<p>问：如何把第三列设置为 X 轴，第五列设置为 Y 轴？</p>\n<p>答：</p>\n<md-code-block lang="js" code="\'b3B0aW9uID0gewogIHNlcmllczogewogICAgLy8g5rOo5oSP57u05bqm5bqP5Y-377yIZGltZW5zaW9uSW5kZXjvvInku44gMCDlvIDlp4vorqHmlbDvvIznrKzkuInliJfmmK8gZGltZW5zaW9uc1syXeOAggogICAgZW5jb2RlOiB7IHg6IDIsIHk6IDQgfQogICAgLy8gLi4uCiAgfQp9Ow\'" line-highlights="\'\'" />\n<p>问：如何把第三行设置为 X 轴，第五行设置为 Y 轴？</p>\n<p>答：</p>\n<md-code-block lang="js" code="\'b3B0aW9uID0gewogIHNlcmllczogewogICAgZW5jb2RlOiB7IHg6IDIsIHk6IDQgfSwKICAgIHNlcmllc0xheW91dEJ5OiAncm93JwogICAgLy8gLi4uCiAgfQp9Ow\'" line-highlights="\'\'" />\n<p>问：如何把第二列设置为标签？</p>\n<p>答：\n关于标签的显示 <a href="https://echarts.apache.org/option.html##series.label.formatter">label.formatter</a>，现在支持引用特定维度的值，例如：</p>\n<md-code-block lang="js" code="\'c2VyaWVzOiB7CiAgbGFiZWw6IHsKICAgIC8vIGAne0BzY29yZX0nYCDooajnpLog4oCc5ZCN5Li6IHNjb3Jl4oCdIOeahOe7tOW6pumHjOeahOWAvOOAggogICAgLy8gYCd7QFs0XX0nYCDooajnpLrlvJXnlKjluo_lj7fkuLogNCDnmoTnu7Tluqbph4znmoTlgLzjgIIKICAgIGZvcm1hdHRlcjogJ2FhYXtAcHJvZHVjdH1iYmJ7QHNjb3JlfWNjY3tAWzRdfWRkZCc7CiAgfQp9\'" line-highlights="\'\'" />\n<p>问：如何让第 2 列和第 3 列显示在提示框（tooltip）中？</p>\n<p>答：</p>\n<md-code-block lang="js" code="\'b3B0aW9uID0gewogIHNlcmllczogewogICAgZW5jb2RlOiB7CiAgICAgIHRvb2x0aXA6IFsxLCAyXQogICAgICAvLyAuLi4KICAgIH0KICAgIC8vIC4uLgogIH0KfTs\'" line-highlights="\'\'" />\n<p>问：数据里没有维度名，那么怎么给出维度名？</p>\n<p>答：</p>\n<md-code-block lang="js" code="\'dmFyIG9wdGlvbiA9IHsKICBkYXRhc2V0OiB7CiAgICBkaW1lbnNpb25zOiBbJ3Njb3JlJywgJ2Ftb3VudCddLAogICAgc291cmNlOiBbCiAgICAgIFs4OS4zLCAzMzcxXSwKICAgICAgWzkyLjEsIDgxMjNdLAogICAgICBbOTQuNCwgMTk1NF0sCiAgICAgIFs4NS40LCA4MjldCiAgICBdCiAgfQp9Ow\'" line-highlights="\'\'" />\n<p>问：如何把第三列映射为气泡图的点的大小？</p>\n<p>答：</p>\n<md-live lang="js" code="\'dmFyIG9wdGlvbiA9IHsKICBkYXRhc2V0OiB7CiAgICBzb3VyY2U6IFsKICAgICAgWzEyLCAzMjMsIDExLjJdLAogICAgICBbMjMsIDE2NywgOC4zXSwKICAgICAgWzgxLCAyODQsIDEyXSwKICAgICAgWzkxLCA0MTMsIDQuMV0sCiAgICAgIFsxMywgMjg3LCAxMy41XQogICAgXQogIH0sCiAgdmlzdWFsTWFwOiB7CiAgICBzaG93OiBmYWxzZSwKICAgIGRpbWVuc2lvbjogMiwgLy8g5oyH5ZCR56ys5LiJ5YiX77yI5YiX5bqP5Y-35LuOIDAg5byA5aeL6K6w77yM5omA5Lul6K6-572u5Li6IDLvvInjgIIKICAgIG1pbjogMiwgLy8g6ZyA6KaB57uZ5Ye65pWw5YC86IyD5Zu077yM5pyA5bCP5pWw5YC844CCCiAgICBtYXg6IDE1LCAvLyDpnIDopoHnu5nlh7rmlbDlgLzojIPlm7TvvIzmnIDlpKfmlbDlgLzjgIIKICAgIGluUmFuZ2U6IHsKICAgICAgLy8g5rCU5rOh5bC65a-477yaNSDlg4_ntKDliLAgNjAg5YOP57Sg44CCCiAgICAgIHN5bWJvbFNpemU6IFs1LCA2MF0KICAgIH0KICB9LAogIHhBeGlzOiB7fSwKICB5QXhpczoge30sCiAgc2VyaWVzOiB7CiAgICB0eXBlOiAnc2NhdHRlcicKICB9Cn07\'" v-bind="{}" />\n<p>问：encode 里指定了映射，但是不管用？</p>\n<p>答：可以查查有没有拼错，比如，维度名是：<code>\'Life Expectancy\'</code>，encode 中拼成了 <code>\'Life Expectency\'</code>。</p>\n<h2 id="%E8%A7%86%E8%A7%89%E9%80%9A%E9%81%93%EF%BC%88%E9%A2%9C%E8%89%B2%E3%80%81%E5%B0%BA%E5%AF%B8%E7%AD%89%EF%BC%89%E7%9A%84%E6%98%A0%E5%B0%84" tabindex="-1">视觉通道（颜色、尺寸等）的映射</h2>\n<p>我们可以使用 <a href="https://echarts.apache.org/option.html##visualMap">visualMap</a> 组件进行视觉通道的映射。详见 <a href="https://echarts.apache.org/option.html##visualMap">visualMap</a> 文档的介绍。这是一个 <a href="https://echarts.apache.org/examples/zh/editor.html?c=dataset-encode0&amp;edit=1&amp;reset=1">示例</a>。</p>\n<h2 id="%E6%95%B0%E6%8D%AE%E7%9A%84%E5%90%84%E7%A7%8D%E6%A0%BC%E5%BC%8F" tabindex="-1">数据的各种格式</h2>\n<p>多数常见图表中，数据适于用二维表的形式描述。广为使用的数据表格软件（如 MS Excel、Numbers）或者关系数据数据库都是二维表。他们的数据可以导出成 JSON 格式，输入到 <code>dataset.source</code> 中，在不少情况下可以免去一些数据处理的步骤。</p>\n<blockquote>\n<p>假如数据导出成 csv 文件，那么可以使用一些 csv 工具如 <a href="https://github.com/d3/d3-dsv">dsv</a> 或者 <a href="https://github.com/mholt/PapaParse">PapaParse</a> 将 csv 转成 JSON。</p>\n</blockquote>\n<p>在 JavaScript 常用的数据传输格式中，二维数组可以比较直观的存储二维表。前面的示例都是使用二维数组表示。</p>\n<p>除了二维数组以外，dataset 也支持例如下面 key-value 方式的数据格式，这类格式也非常常见。但是这类格式中，目前并不支持 <a href="https://echarts.apache.org/option.html##series.seriesLayoutBy">seriesLayoutBy</a> 参数。</p>\n<md-code-block lang="js" code="\'ZGF0YXNldDogWwogIHsKICAgIC8vIOaMieihjOeahCBrZXktdmFsdWUg5b2i5byP77yI5a-56LGh5pWw57uE77yJ77yM6L-Z5piv5Liq5q-U6L6D5bi46KeB55qE5qC85byP44CCCiAgICBzb3VyY2U6IFsKICAgICAgeyBwcm9kdWN0OiAnTWF0Y2hhIExhdHRlJywgY291bnQ6IDgyMywgc2NvcmU6IDk1LjggfSwKICAgICAgeyBwcm9kdWN0OiAnTWlsayBUZWEnLCBjb3VudDogMjM1LCBzY29yZTogODEuNCB9LAogICAgICB7IHByb2R1Y3Q6ICdDaGVlc2UgQ29jb2EnLCBjb3VudDogMTA0Miwgc2NvcmU6IDkxLjIgfSwKICAgICAgeyBwcm9kdWN0OiAnV2FsbnV0IEJyb3duaWUnLCBjb3VudDogOTg4LCBzY29yZTogNzYuOSB9CiAgICBdCiAgfSwKICB7CiAgICAvLyDmjInliJfnmoQga2V5LXZhbHVlIOW9ouW8j-OAggogICAgc291cmNlOiB7CiAgICAgIHByb2R1Y3Q6IFsnTWF0Y2hhIExhdHRlJywgJ01pbGsgVGVhJywgJ0NoZWVzZSBDb2NvYScsICdXYWxudXQgQnJvd25pZSddLAogICAgICBjb3VudDogWzgyMywgMjM1LCAxMDQyLCA5ODhdLAogICAgICBzY29yZTogWzk1LjgsIDgxLjQsIDkxLjIsIDc2LjldCiAgICB9CiAgfQpdOw\'" line-highlights="\'\'" />\n<h2 id="%E5%A4%9A%E4%B8%AA-dataset-%E4%BB%A5%E5%8F%8A%E5%A6%82%E4%BD%95%E5%BC%95%E7%94%A8%E4%BB%96%E4%BB%AC" tabindex="-1">多个 dataset 以及如何引用他们</h2>\n<p>可以同时定义多个 dataset。系列可以通过 <a href="https://echarts.apache.org/option.html##series.datasetIndex">series.datasetIndex</a> 来指定引用哪个 dataset。例如：</p>\n<md-code-block lang="js" code="\'dmFyIG9wdGlvbiA9IHsKICBkYXRhc2V0OiBbCiAgICB7CiAgICAgIC8vIOW6j-WPt-S4uiAwIOeahCBkYXRhc2V044CCCiAgICAgIHNvdXJjZTogW10KICAgIH0sCiAgICB7CiAgICAgIC8vIOW6j-WPt-S4uiAxIOeahCBkYXRhc2V044CCCiAgICAgIHNvdXJjZTogW10KICAgIH0sCiAgICB7CiAgICAgIC8vIOW6j-WPt-S4uiAyIOeahCBkYXRhc2V044CCCiAgICAgIHNvdXJjZTogW10KICAgIH0KICBdLAogIHNlcmllczogWwogICAgewogICAgICAvLyDkvb_nlKjluo_lj7fkuLogMiDnmoQgZGF0YXNldOOAggogICAgICBkYXRhc2V0SW5kZXg6IDIKICAgIH0sCiAgICB7CiAgICAgIC8vIOS9v-eUqOW6j-WPt-S4uiAxIOeahCBkYXRhc2V044CCCiAgICAgIGRhdGFzZXRJbmRleDogMQogICAgfQogIF0KfTs\'" line-highlights="\'\'" />\n<h2 id="echarts-3-%E7%9A%84%E6%95%B0%E6%8D%AE%E8%AE%BE%E7%BD%AE%E6%96%B9%E5%BC%8F%EF%BC%88series.data%EF%BC%89%E4%BB%8D%E6%AD%A3%E5%B8%B8%E4%BD%BF%E7%94%A8" tabindex="-1">ECharts 3 的数据设置方式（series.data）仍正常使用</h2>\n<p>ECharts 4 之前一直以来的数据声明方式仍然被正常支持，如果系列已经声明了 <a href="https://echarts.apache.org/option.html##series.data">series.data</a>， 那么就会使用 <a href="https://echarts.apache.org/option.html##series.data">series.data</a> 而非 <code>dataset</code>。</p>\n<md-live lang="js" code="\'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\'" v-bind="{}" />\n<p>其实，<a href="https://echarts.apache.org/option.html##series.data">series.data</a> 也是种会一直存在的重要设置方式。一些特殊的非 table 格式的图表，如 <a href="https://echarts.apache.org/option.html##series-treemap">treemap</a>、<a href="https://echarts.apache.org/option.html##series-graph">graph</a>、<a href="https://echarts.apache.org/option.html##series-lines">lines</a> 等，现在仍不支持在 dataset 中设置，仍然需要使用 <a href="https://echarts.apache.org/option.html##series.data">series.data</a>。另外，对于巨大数据量的渲染（如百万以上的数据量），需要使用 <a href="api.html#echartsInstance.appendData">appendData</a> 进行增量加载，这种情况不支持使用 <code>dataset</code>。</p>\n<h2 id="%E5%85%B6%E4%BB%96" tabindex="-1">其他</h2>\n<p>目前并非所有图表都支持 dataset。支持 dataset 的图表有：\n<code>line</code>、<code>bar</code>、<code>pie</code>、<code>scatter</code>、<code>effectScatter</code>、<code>parallel</code>、<code>candlestick</code>、<code>map</code>、<code>funnel</code>、<code>custom</code>。\n后续会有更多的图表进行支持。</p>\n<p>最后，给出这个 <a href="https://echarts.apache.org/examples/zh/editor.html?c=dataset-link&amp;edit=1&amp;reset=1">示例</a>，多个图表共享一个 <code>dataset</code>，并带有联动交互。</p>\n',postPath:"zh/concepts/dataset"}],fetch:{},error:t,state:{filled:!1,docVersion:"",ghVersion:"",visibleAffix:!1,homepage:{},adBlocked:!1,focusMode:!1,posts:{zh:[{title:"快速上手",dir:d},{title:"入门篇",dir:I,children:[{title:"获取 ECharts",dir:l},{title:"在项目中引入 ECharts",dir:o},{title:"资源列表",dir:a,draft:e},{title:"寻求帮助",dir:C},{title:"版本特性",dir:n,children:[{title:"ECharts 5 特性介绍",dir:A},{title:"v4 升级 v5 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