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<span id="id1"></span><h1><span class="yiyi-st" id="yiyi-47">Style</span></h1>
<blockquote>
<p>原文：<a href="http://pandas.pydata.org/pandas-docs/stable/style.html">http://pandas.pydata.org/pandas-docs/stable/style.html</a></p>
<p>译者：<a href="https://github.com/wizardforcel">飞龙</a> <a href="http://usyiyi.cn/">UsyiyiCN</a></p>
<p>校对：（虚位以待）</p>
</blockquote>
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<p><span class="yiyi-st" id="yiyi-48"><em>版本0.17.1中的新功能</em></span></p>
<p></p><p style="color: red"><span class="yiyi-st" id="yiyi-49"><em>临时：这是一个新功能，仍在开发中。我们将添加功能，并可能在未来的版本中进行突破性更改。我们很乐意听取您的<a href="https://github.com/pydata/pandas/issues">反馈</a>。 t></em></span></p><p style="color: red"></p>
<p><span class="yiyi-st" id="yiyi-50">本文档是作为Jupyter Notebook编写的，可以在<a href="http://nbviewer.ipython.org/github/pydata/pandas/blob/master/doc/source/html-styling.ipynb">此处查看或下载</a>。</span></p>
<p><span class="yiyi-st" id="yiyi-51">您可以使用<code>DataFrame.style</code>属性，应用<strong>条件格式</strong>（根据数据内部的数据确定DataFrame的视觉样式）。</span><span class="yiyi-st" id="yiyi-52">这是一个返回<code>pandas.Styler</code>对象的属性，它具有用于格式化和显示DataFrames的有用方法。</span></p>
<p><span class="yiyi-st" id="yiyi-53">样式是使用CSS完成的。</span><span class="yiyi-st" id="yiyi-54">您可以编写取得标量<code>DataFrame</code>或<code>系列</code>的“样式函数”，并返回<em>like-indexed</em> DataFrames或Series with CSS <code>属性：值“</code>对。</span><span class="yiyi-st" id="yiyi-55">这些函数可以递增地传递到<code>样式器</code>，样式器在渲染之前收集样式。</span></p>
<h3 id="Contents"><span class="yiyi-st" id="yiyi-56">Contents<a class="anchor-link" href="#Contents">¶</a></span></h3><ul>
<li><span class="yiyi-st" id="yiyi-57"><a href="#Building-Styles">建立样式</a></span></li>
<li><span class="yiyi-st" id="yiyi-58"><a href="#Finer-Control:-Slicing">精细控制：切片</a></span></li>
<li><span class="yiyi-st" id="yiyi-59"><a href="#Builtin-Styles">内置样式</a></span></li>
<li><span class="yiyi-st" id="yiyi-60"><a href="#Other-options">其他选项</a></span></li>
<li><span class="yiyi-st" id="yiyi-61"><a href="#Sharing-Styles">共享样式</a></span></li>
<li><span class="yiyi-st" id="yiyi-62"><a href="#Limitations">限制</a></span></li>
<li><span class="yiyi-st" id="yiyi-63"><a href="#Terms">条款</a></span></li>
<li><span class="yiyi-st" id="yiyi-64"><a href="#Extensibility">可扩展性</a></span></li>
</ul>
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<h1 id="Building-Styles"><span class="yiyi-st" id="yiyi-65">Building Styles<a class="anchor-link" href="#Building-Styles">¶</a></span></h1><p><span class="yiyi-st" id="yiyi-66">将您的样式函数传递到以下方法之一：</span></p>
<ul>
<li><span class="yiyi-st" id="yiyi-67"><code>Styler.applymap</code>：elementwise</span></li>
<li><span class="yiyi-st" id="yiyi-68"><code>Styler.apply</code>：column- / row- / table-wise</span></li>
</ul>
<p><span class="yiyi-st" id="yiyi-69">这两个方法都有一个函数（和一些其他关键字参数），并以某种方式将你的函数应用到DataFrame。</span><span class="yiyi-st" id="yiyi-70"><code>Styler.applymap</code>按元素方式处理DataFrame。</span><span class="yiyi-st" id="yiyi-71"><code>Styler.apply</code>根据<code>axis</code>关键字参数，将每个列或行一次性传递到您的DataFrame或整个表格。</span><span class="yiyi-st" id="yiyi-72">对于逐列使用<code>axis = 0</code>，按行使用<code>axis = 1</code>，并且对于整个表立即使用<code>axis = None</code>。</span></p>
<p><span class="yiyi-st" id="yiyi-73">对于<code>Styler.applymap</code>，您的函数应采用标量，并返回一个具有CSS属性值对的字符串。</span></p>
<p><span class="yiyi-st" id="yiyi-74">对于<code>Styler.apply</code>，您的函数应采用Series或DataFrame（取决于轴参数），并返回具有相同形状的Series或DataFrame，其中每个值都是具有CSS属性值对的字符串。</span></p>
<p><span class="yiyi-st" id="yiyi-75">让我们看一些例子。</span></p>
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<div class="prompt input_prompt"><span class="yiyi-st" id="yiyi-76">在[1]：</span></div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
<span class="n">np</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">seed</span><span class="p">(</span><span class="mi">24</span><span class="p">)</span>
<span class="n">df</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">({</span><span class="s1">'A'</span><span class="p">:</span> <span class="n">np</span><span class="o">.</span><span class="n">linspace</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">10</span><span class="p">,</span> <span class="mi">10</span><span class="p">)})</span>
<span class="n">df</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">concat</span><span class="p">([</span><span class="n">df</span><span class="p">,</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">randn</span><span class="p">(</span><span class="mi">10</span><span class="p">,</span> <span class="mi">4</span><span class="p">),</span> <span class="n">columns</span><span class="o">=</span><span class="nb">list</span><span class="p">(</span><span class="s1">'BCDE'</span><span class="p">))],</span>
<span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
<span class="n">df</span><span class="o">.</span><span class="n">iloc</span><span class="p">[</span><span class="mi">0</span><span class="p">,</span> <span class="mi">2</span><span class="p">]</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">nan</span>
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<p><span class="yiyi-st" id="yiyi-77">这里是一个无聊的例子，渲染一个DataFrame，没有任何（可见）样式：</span></p>
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<div class="prompt input_prompt"><span class="yiyi-st" id="yiyi-78">在[2]：</span></div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df</span><span class="o">.</span><span class="n">style</span>
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<div class="output_area"><div class="prompt output_prompt"><span class="yiyi-st" id="yiyi-79">Out [2]：</span></div>
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<th class="blank level0">
</th><th class="col_heading level0 col0" colspan="1"><span class="yiyi-st" id="yiyi-80">一个</span></th><th class="col_heading level0 col1" colspan="1"><span class="yiyi-st" id="yiyi-81">B</span></th><th class="col_heading level0 col2" colspan="1"><span class="yiyi-st" id="yiyi-82">C</span></th><th class="col_heading level0 col3" colspan="1"><span class="yiyi-st" id="yiyi-83">D</span></th><th class="col_heading level0 col4" colspan="1"><span class="yiyi-st" id="yiyi-84">E</span></th></tr>
</thead>
<tbody>
<tr>
<th class="row_heading level0 row0" id="T_bc597fe6_c9fe_11e6_8f44_778134d549ff" rowspan="1"><span class="yiyi-st" id="yiyi-85"> 0 </span></th><td class="data row0 col0" id="T_bc597fe6_c9fe_11e6_8f44_778134d549ffrow0_col0"><span class="yiyi-st" id="yiyi-86"> 1 </span></td><td class="data row0 col1" id="T_bc597fe6_c9fe_11e6_8f44_778134d549ffrow0_col1"><span class="yiyi-st" id="yiyi-87"> 1.32921 </span></td><td class="data row0 col2" id="T_bc597fe6_c9fe_11e6_8f44_778134d549ffrow0_col2"><span class="yiyi-st" id="yiyi-88">南</span></td><td class="data row0 col3" id="T_bc597fe6_c9fe_11e6_8f44_778134d549ffrow0_col3"><span class="yiyi-st" id="yiyi-89">-0.31628</span></td><td class="data row0 col4" id="T_bc597fe6_c9fe_11e6_8f44_778134d549ffrow0_col4"><span class="yiyi-st" id="yiyi-90">-0.99081</span></td></tr>
<tr>
<th class="row_heading level0 row1" id="T_bc597fe6_c9fe_11e6_8f44_778134d549ff" rowspan="1"><span class="yiyi-st" id="yiyi-91"> 1 </span></th><td class="data row1 col0" id="T_bc597fe6_c9fe_11e6_8f44_778134d549ffrow1_col0"><span class="yiyi-st" id="yiyi-92"> 2 </span></td><td class="data row1 col1" id="T_bc597fe6_c9fe_11e6_8f44_778134d549ffrow1_col1"><span class="yiyi-st" id="yiyi-93">-1.07082</span></td><td class="data row1 col2" id="T_bc597fe6_c9fe_11e6_8f44_778134d549ffrow1_col2"><span class="yiyi-st" id="yiyi-94">-1.43871</span></td><td class="data row1 col3" id="T_bc597fe6_c9fe_11e6_8f44_778134d549ffrow1_col3"><span class="yiyi-st" id="yiyi-95"> 0.564417 </span></td><td class="data row1 col4" id="T_bc597fe6_c9fe_11e6_8f44_778134d549ffrow1_col4"><span class="yiyi-st" id="yiyi-96"> 0.295722 </span></td></tr>
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<th class="row_heading level0 row2" id="T_bc597fe6_c9fe_11e6_8f44_778134d549ff" rowspan="1"><span class="yiyi-st" id="yiyi-97"> 2 </span></th><td class="data row2 col0" id="T_bc597fe6_c9fe_11e6_8f44_778134d549ffrow2_col0"><span class="yiyi-st" id="yiyi-98"> 3 </span></td><td class="data row2 col1" id="T_bc597fe6_c9fe_11e6_8f44_778134d549ffrow2_col1"><span class="yiyi-st" id="yiyi-99">-1.6264</span></td><td class="data row2 col2" id="T_bc597fe6_c9fe_11e6_8f44_778134d549ffrow2_col2"><span class="yiyi-st" id="yiyi-100"> 0.219565 </span></td><td class="data row2 col3" id="T_bc597fe6_c9fe_11e6_8f44_778134d549ffrow2_col3"><span class="yiyi-st" id="yiyi-101"> 0.678805 </span></td><td class="data row2 col4" id="T_bc597fe6_c9fe_11e6_8f44_778134d549ffrow2_col4"><span class="yiyi-st" id="yiyi-102"> 1.88927 </span></td></tr>
<tr>
<th class="row_heading level0 row3" id="T_bc597fe6_c9fe_11e6_8f44_778134d549ff" rowspan="1"><span class="yiyi-st" id="yiyi-103"> 3 </span></th><td class="data row3 col0" id="T_bc597fe6_c9fe_11e6_8f44_778134d549ffrow3_col0"><span class="yiyi-st" id="yiyi-104"> 4 </span></td><td class="data row3 col1" id="T_bc597fe6_c9fe_11e6_8f44_778134d549ffrow3_col1"><span class="yiyi-st" id="yiyi-105"> 0.961538 </span></td><td class="data row3 col2" id="T_bc597fe6_c9fe_11e6_8f44_778134d549ffrow3_col2"><span class="yiyi-st" id="yiyi-106"> 0.104011 </span></td><td class="data row3 col3" id="T_bc597fe6_c9fe_11e6_8f44_778134d549ffrow3_col3"><span class="yiyi-st" id="yiyi-107">-0.481165</span></td><td class="data row3 col4" id="T_bc597fe6_c9fe_11e6_8f44_778134d549ffrow3_col4"><span class="yiyi-st" id="yiyi-108"> 0.850229 </span></td></tr>
<tr>
<th class="row_heading level0 row4" id="T_bc597fe6_c9fe_11e6_8f44_778134d549ff" rowspan="1"><span class="yiyi-st" id="yiyi-109"> 4 </span></th><td class="data row4 col0" id="T_bc597fe6_c9fe_11e6_8f44_778134d549ffrow4_col0"><span class="yiyi-st" id="yiyi-110"> 5 </span></td><td class="data row4 col1" id="T_bc597fe6_c9fe_11e6_8f44_778134d549ffrow4_col1"><span class="yiyi-st" id="yiyi-111"> 1.45342 </span></td><td class="data row4 col2" id="T_bc597fe6_c9fe_11e6_8f44_778134d549ffrow4_col2"><span class="yiyi-st" id="yiyi-112"> 1.05774 </span></td><td class="data row4 col3" id="T_bc597fe6_c9fe_11e6_8f44_778134d549ffrow4_col3"><span class="yiyi-st" id="yiyi-113"> 0.165562 </span></td><td class="data row4 col4" id="T_bc597fe6_c9fe_11e6_8f44_778134d549ffrow4_col4"><span class="yiyi-st" id="yiyi-114"> 0.515018 </span></td></tr>
<tr>
<th class="row_heading level0 row5" id="T_bc597fe6_c9fe_11e6_8f44_778134d549ff" rowspan="1"><span class="yiyi-st" id="yiyi-115"> 5 </span></th><td class="data row5 col0" id="T_bc597fe6_c9fe_11e6_8f44_778134d549ffrow5_col0"><span class="yiyi-st" id="yiyi-116"> 6 </span></td><td class="data row5 col1" id="T_bc597fe6_c9fe_11e6_8f44_778134d549ffrow5_col1"><span class="yiyi-st" id="yiyi-117">-1.33694</span></td><td class="data row5 col2" id="T_bc597fe6_c9fe_11e6_8f44_778134d549ffrow5_col2"><span class="yiyi-st" id="yiyi-118"> 0.562861 </span></td><td class="data row5 col3" id="T_bc597fe6_c9fe_11e6_8f44_778134d549ffrow5_col3"><span class="yiyi-st" id="yiyi-119"> 1.39285 </span></td><td class="data row5 col4" id="T_bc597fe6_c9fe_11e6_8f44_778134d549ffrow5_col4"><span class="yiyi-st" id="yiyi-120">-0.063328</span></td></tr>
<tr>
<th class="row_heading level0 row6" id="T_bc597fe6_c9fe_11e6_8f44_778134d549ff" rowspan="1"><span class="yiyi-st" id="yiyi-121"> 6 </span></th><td class="data row6 col0" id="T_bc597fe6_c9fe_11e6_8f44_778134d549ffrow6_col0"><span class="yiyi-st" id="yiyi-122"> 7 </span></td><td class="data row6 col1" id="T_bc597fe6_c9fe_11e6_8f44_778134d549ffrow6_col1"><span class="yiyi-st" id="yiyi-123"> 0.121668 </span></td><td class="data row6 col2" id="T_bc597fe6_c9fe_11e6_8f44_778134d549ffrow6_col2"><span class="yiyi-st" id="yiyi-124"> 1.2076 </span></td><td class="data row6 col3" id="T_bc597fe6_c9fe_11e6_8f44_778134d549ffrow6_col3"><span class="yiyi-st" id="yiyi-125">-0.00204021</span></td><td class="data row6 col4" id="T_bc597fe6_c9fe_11e6_8f44_778134d549ffrow6_col4"><span class="yiyi-st" id="yiyi-126"> 1.6278 </span></td></tr>
<tr>
<th class="row_heading level0 row7" id="T_bc597fe6_c9fe_11e6_8f44_778134d549ff" rowspan="1"><span class="yiyi-st" id="yiyi-127"> 7 </span></th><td class="data row7 col0" id="T_bc597fe6_c9fe_11e6_8f44_778134d549ffrow7_col0"><span class="yiyi-st" id="yiyi-128"> 8 </span></td><td class="data row7 col1" id="T_bc597fe6_c9fe_11e6_8f44_778134d549ffrow7_col1"><span class="yiyi-st" id="yiyi-129"> 0.354493 </span></td><td class="data row7 col2" id="T_bc597fe6_c9fe_11e6_8f44_778134d549ffrow7_col2"><span class="yiyi-st" id="yiyi-130"> 1.03753 </span></td><td class="data row7 col3" id="T_bc597fe6_c9fe_11e6_8f44_778134d549ffrow7_col3"><span class="yiyi-st" id="yiyi-131">-0.385684</span></td><td class="data row7 col4" id="T_bc597fe6_c9fe_11e6_8f44_778134d549ffrow7_col4"><span class="yiyi-st" id="yiyi-132"> 0.519818 </span></td></tr>
<tr>
<th class="row_heading level0 row8" id="T_bc597fe6_c9fe_11e6_8f44_778134d549ff" rowspan="1"><span class="yiyi-st" id="yiyi-133"> 8 </span></th><td class="data row8 col0" id="T_bc597fe6_c9fe_11e6_8f44_778134d549ffrow8_col0"><span class="yiyi-st" id="yiyi-134"> 9 </span></td><td class="data row8 col1" id="T_bc597fe6_c9fe_11e6_8f44_778134d549ffrow8_col1"><span class="yiyi-st" id="yiyi-135"> 1.68658 </span></td><td class="data row8 col2" id="T_bc597fe6_c9fe_11e6_8f44_778134d549ffrow8_col2"><span class="yiyi-st" id="yiyi-136">-1.32596</span></td><td class="data row8 col3" id="T_bc597fe6_c9fe_11e6_8f44_778134d549ffrow8_col3"><span class="yiyi-st" id="yiyi-137"> 1.42898 </span></td><td class="data row8 col4" id="T_bc597fe6_c9fe_11e6_8f44_778134d549ffrow8_col4"><span class="yiyi-st" id="yiyi-138">-2.08935</span></td></tr>
<tr>
<th class="row_heading level0 row9" id="T_bc597fe6_c9fe_11e6_8f44_778134d549ff" rowspan="1"><span class="yiyi-st" id="yiyi-139"> 9 </span></th><td class="data row9 col0" id="T_bc597fe6_c9fe_11e6_8f44_778134d549ffrow9_col0"><span class="yiyi-st" id="yiyi-140"> 10 </span></td><td class="data row9 col1" id="T_bc597fe6_c9fe_11e6_8f44_778134d549ffrow9_col1"><span class="yiyi-st" id="yiyi-141">-0.12982</span></td><td class="data row9 col2" id="T_bc597fe6_c9fe_11e6_8f44_778134d549ffrow9_col2"><span class="yiyi-st" id="yiyi-142"> 0.631523 </span></td><td class="data row9 col3" id="T_bc597fe6_c9fe_11e6_8f44_778134d549ffrow9_col3"><span class="yiyi-st" id="yiyi-143">-0.586538</span></td><td class="data row9 col4" id="T_bc597fe6_c9fe_11e6_8f44_778134d549ffrow9_col4"><span class="yiyi-st" id="yiyi-144"> 0.29072 </span></td></tr>
</tbody>
</table>
</div>
</div>
</div>
</div>
</div>
<div class="cell border-box-sizing text_cell rendered">
<div class="prompt input_prompt">
</div>
<div class="inner_cell">
<div class="text_cell_render border-box-sizing rendered_html">
<p><span class="yiyi-st" id="yiyi-145"><em>注意</em>：<code>DataFrame.style</code>属性是返回<code>Styler</code>对象的propetry。</span><span class="yiyi-st" id="yiyi-146"><code>样式器</code>具有定义的<code>_repr_html _</code>方法，因此它们会自动呈现。</span><span class="yiyi-st" id="yiyi-147">如果你想要实际的HTML返回进一步处理或写入文件调用<code>.render()</code>方法返回一个字符串。</span></p>
<p><span class="yiyi-st" id="yiyi-148">上面的输出看起来非常类似于标准的DataFrame HTML表示。</span><span class="yiyi-st" id="yiyi-149">但是我们在幕后做了一些工作，将CSS类附加到每个单元格。</span><span class="yiyi-st" id="yiyi-150">我们可以通过调用<code>.render</code>方法查看这些。</span></p>
</div>
</div>
</div>
<div class="cell border-box-sizing code_cell rendered">
<div class="input">
<div class="prompt input_prompt"><span class="yiyi-st" id="yiyi-151">在[3]：</span></div>
<div class="inner_cell">
<div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df</span><span class="o">.</span><span class="n">style</span><span class="o">.</span><span class="n">highlight_null</span><span class="p">()</span><span class="o">.</span><span class="n">render</span><span class="p">()</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s1">'</span><span class="se">\n</span><span class="s1">'</span><span class="p">)[:</span><span class="mi">10</span><span class="p">]</span>
</pre></div>
</div>
</div>
</div>
<div class="output_wrapper">
<div class="output">
<div class="output_area"><div class="prompt output_prompt"><span class="yiyi-st" id="yiyi-152">出[3]：</span></div>
<div class="output_text output_subarea output_execute_result">
<pre>[u'',
u' <style type="text/css" >',
u' ',
u' ',
u' #T_bc5e3090_c9fe_11e6_8f44_778134d549ffrow0_col2 {',
u' ',
u' background-color: red;',
u' ',
u' }',
u' ']</pre>
</div>
</div>
</div>
</div>
</div>
<div class="cell border-box-sizing text_cell rendered">
<div class="prompt input_prompt">
</div>
<div class="inner_cell">
<div class="text_cell_render border-box-sizing rendered_html">
<p><span class="yiyi-st" id="yiyi-153"><code>row0_col2</code>是特定单元格的标识符。</span><span class="yiyi-st" id="yiyi-154">我们还为每个行/列标识符添加了每个DataFrame唯一的UUID，以便一个样式不会与同一笔记本或页面中另一个样式发生冲突（您可以设置<code>uuid t0 >如果你想把两个DataFrames的样式绑在一起）。</code></span></p>
<p><span class="yiyi-st" id="yiyi-155">在编写样式函数时，您需要处理生成所需的CSS属性/值对。</span><span class="yiyi-st" id="yiyi-156">Pandas匹配那些标识每个单元格的CSS类。</span></p>
</div>
</div>
</div>
<div class="cell border-box-sizing text_cell rendered">
<div class="prompt input_prompt">
</div>
<div class="inner_cell">
<div class="text_cell_render border-box-sizing rendered_html">
<p><span class="yiyi-st" id="yiyi-157">让我们写一个简单的样式函数，将负数红色和正数黑色。</span></p>
</div>
</div>
</div>
<div class="cell border-box-sizing code_cell rendered">
<div class="input">
<div class="prompt input_prompt"><span class="yiyi-st" id="yiyi-158">在[4]：</span></div>
<div class="inner_cell">
<div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">color_negative_red</span><span class="p">(</span><span class="n">val</span><span class="p">):</span>
<span class="sd">"""</span>
<span class="sd"> Takes a scalar and returns a string with</span>
<span class="sd"> the css property `'color: red'` for negative</span>
<span class="sd"> strings, black otherwise.</span>
<span class="sd"> """</span>
<span class="n">color</span> <span class="o">=</span> <span class="s1">'red'</span> <span class="k">if</span> <span class="n">val</span> <span class="o"><</span> <span class="mi">0</span> <span class="k">else</span> <span class="s1">'black'</span>
<span class="k">return</span> <span class="s1">'color: </span><span class="si">%s</span><span class="s1">'</span> <span class="o">%</span> <span class="n">color</span>
</pre></div>
</div>
</div>
</div>
</div>
<div class="cell border-box-sizing text_cell rendered">
<div class="prompt input_prompt">
</div>
<div class="inner_cell">
<div class="text_cell_render border-box-sizing rendered_html">
<p><span class="yiyi-st" id="yiyi-159">在这种情况下，单元格的样式仅取决于它自己的值。</span><span class="yiyi-st" id="yiyi-160">这意味着我们应该使用元素方式工作的<code>Styler.applymap</code>方法。</span></p>
</div>
</div>
</div>
<div class="cell border-box-sizing code_cell rendered">
<div class="input">
<div class="prompt input_prompt"><span class="yiyi-st" id="yiyi-161">在[5]：</span></div>
<div class="inner_cell">
<div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="n">s</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">style</span><span class="o">.</span><span class="n">applymap</span><span class="p">(</span><span class="n">color_negative_red</span><span class="p">)</span>
<span class="n">s</span>
</pre></div>
</div>
</div>
</div>
<div class="output_wrapper">
<div class="output">
<div class="output_area"><div class="prompt output_prompt"><span class="yiyi-st" id="yiyi-162">出[5]：</span></div>
<div class="output_html rendered_html output_subarea output_execute_result">
<style type="text/css">
#T_bc64d422_c9fe_11e6_8f44_778134d549ffrow0_col0 {
color: black;
}
#T_bc64d422_c9fe_11e6_8f44_778134d549ffrow0_col1 {
color: black;
}
#T_bc64d422_c9fe_11e6_8f44_778134d549ffrow0_col2 {
color: black;
}
#T_bc64d422_c9fe_11e6_8f44_778134d549ffrow0_col3 {
color: red;
}
#T_bc64d422_c9fe_11e6_8f44_778134d549ffrow0_col4 {
color: red;
}
#T_bc64d422_c9fe_11e6_8f44_778134d549ffrow1_col0 {
color: black;
}
#T_bc64d422_c9fe_11e6_8f44_778134d549ffrow1_col1 {
color: red;
}
#T_bc64d422_c9fe_11e6_8f44_778134d549ffrow1_col2 {
color: red;
}
#T_bc64d422_c9fe_11e6_8f44_778134d549ffrow1_col3 {
color: black;
}
#T_bc64d422_c9fe_11e6_8f44_778134d549ffrow1_col4 {
color: black;
}
#T_bc64d422_c9fe_11e6_8f44_778134d549ffrow2_col0 {
color: black;
}
#T_bc64d422_c9fe_11e6_8f44_778134d549ffrow2_col1 {
color: red;
}
#T_bc64d422_c9fe_11e6_8f44_778134d549ffrow2_col2 {
color: black;
}
#T_bc64d422_c9fe_11e6_8f44_778134d549ffrow2_col3 {
color: black;
}
#T_bc64d422_c9fe_11e6_8f44_778134d549ffrow2_col4 {
color: black;
}
#T_bc64d422_c9fe_11e6_8f44_778134d549ffrow3_col0 {
color: black;
}
#T_bc64d422_c9fe_11e6_8f44_778134d549ffrow3_col1 {
color: black;
}
#T_bc64d422_c9fe_11e6_8f44_778134d549ffrow3_col2 {
color: black;
}
#T_bc64d422_c9fe_11e6_8f44_778134d549ffrow3_col3 {
color: red;
}
#T_bc64d422_c9fe_11e6_8f44_778134d549ffrow3_col4 {
color: black;
}
#T_bc64d422_c9fe_11e6_8f44_778134d549ffrow4_col0 {
color: black;
}
#T_bc64d422_c9fe_11e6_8f44_778134d549ffrow4_col1 {
color: black;
}
#T_bc64d422_c9fe_11e6_8f44_778134d549ffrow4_col2 {
color: black;
}
#T_bc64d422_c9fe_11e6_8f44_778134d549ffrow4_col3 {
color: black;
}
#T_bc64d422_c9fe_11e6_8f44_778134d549ffrow4_col4 {
color: black;
}
#T_bc64d422_c9fe_11e6_8f44_778134d549ffrow5_col0 {
color: black;
}
#T_bc64d422_c9fe_11e6_8f44_778134d549ffrow5_col1 {
color: red;
}
#T_bc64d422_c9fe_11e6_8f44_778134d549ffrow5_col2 {
color: black;
}
#T_bc64d422_c9fe_11e6_8f44_778134d549ffrow5_col3 {
color: black;
}
#T_bc64d422_c9fe_11e6_8f44_778134d549ffrow5_col4 {
color: red;
}
#T_bc64d422_c9fe_11e6_8f44_778134d549ffrow6_col0 {
color: black;
}
#T_bc64d422_c9fe_11e6_8f44_778134d549ffrow6_col1 {
color: black;
}
#T_bc64d422_c9fe_11e6_8f44_778134d549ffrow6_col2 {
color: black;
}
#T_bc64d422_c9fe_11e6_8f44_778134d549ffrow6_col3 {
color: red;
}
#T_bc64d422_c9fe_11e6_8f44_778134d549ffrow6_col4 {
color: black;
}
#T_bc64d422_c9fe_11e6_8f44_778134d549ffrow7_col0 {
color: black;
}
#T_bc64d422_c9fe_11e6_8f44_778134d549ffrow7_col1 {
color: black;
}
#T_bc64d422_c9fe_11e6_8f44_778134d549ffrow7_col2 {
color: black;
}
#T_bc64d422_c9fe_11e6_8f44_778134d549ffrow7_col3 {
color: red;
}
#T_bc64d422_c9fe_11e6_8f44_778134d549ffrow7_col4 {
color: black;
}
#T_bc64d422_c9fe_11e6_8f44_778134d549ffrow8_col0 {
color: black;
}
#T_bc64d422_c9fe_11e6_8f44_778134d549ffrow8_col1 {
color: black;
}
#T_bc64d422_c9fe_11e6_8f44_778134d549ffrow8_col2 {
color: red;
}
#T_bc64d422_c9fe_11e6_8f44_778134d549ffrow8_col3 {
color: black;
}
#T_bc64d422_c9fe_11e6_8f44_778134d549ffrow8_col4 {
color: red;
}
#T_bc64d422_c9fe_11e6_8f44_778134d549ffrow9_col0 {
color: black;
}
#T_bc64d422_c9fe_11e6_8f44_778134d549ffrow9_col1 {
color: red;
}
#T_bc64d422_c9fe_11e6_8f44_778134d549ffrow9_col2 {
color: black;
}
#T_bc64d422_c9fe_11e6_8f44_778134d549ffrow9_col3 {
color: red;
}
#T_bc64d422_c9fe_11e6_8f44_778134d549ffrow9_col4 {
color: black;
}
</style>
<table id="T_bc64d422_c9fe_11e6_8f44_778134d549ff" none="">
<thead>
<tr>
<th class="blank level0">
</th><th class="col_heading level0 col0" colspan="1"><span class="yiyi-st" id="yiyi-163">一个</span></th><th class="col_heading level0 col1" colspan="1"><span class="yiyi-st" id="yiyi-164">B</span></th><th class="col_heading level0 col2" colspan="1"><span class="yiyi-st" id="yiyi-165">C</span></th><th class="col_heading level0 col3" colspan="1"><span class="yiyi-st" id="yiyi-166">D</span></th><th class="col_heading level0 col4" colspan="1"><span class="yiyi-st" id="yiyi-167">E</span></th></tr>
</thead>
<tbody>
<tr>
<th class="row_heading level0 row0" id="T_bc64d422_c9fe_11e6_8f44_778134d549ff" rowspan="1"><span class="yiyi-st" id="yiyi-168"> 0 </span></th><td class="data row0 col0" id="T_bc64d422_c9fe_11e6_8f44_778134d549ffrow0_col0"><span class="yiyi-st" id="yiyi-169"> 1 </span></td><td class="data row0 col1" id="T_bc64d422_c9fe_11e6_8f44_778134d549ffrow0_col1"><span class="yiyi-st" id="yiyi-170"> 1.32921 </span></td><td class="data row0 col2" id="T_bc64d422_c9fe_11e6_8f44_778134d549ffrow0_col2"><span class="yiyi-st" id="yiyi-171">南</span></td><td class="data row0 col3" id="T_bc64d422_c9fe_11e6_8f44_778134d549ffrow0_col3"><span class="yiyi-st" id="yiyi-172">-0.31628</span></td><td class="data row0 col4" id="T_bc64d422_c9fe_11e6_8f44_778134d549ffrow0_col4"><span class="yiyi-st" id="yiyi-173">-0.99081</span></td></tr>
<tr>
<th class="row_heading level0 row1" id="T_bc64d422_c9fe_11e6_8f44_778134d549ff" rowspan="1"><span class="yiyi-st" id="yiyi-174"> 1 </span></th><td class="data row1 col0" id="T_bc64d422_c9fe_11e6_8f44_778134d549ffrow1_col0"><span class="yiyi-st" id="yiyi-175"> 2 </span></td><td class="data row1 col1" id="T_bc64d422_c9fe_11e6_8f44_778134d549ffrow1_col1"><span class="yiyi-st" id="yiyi-176">-1.07082</span></td><td class="data row1 col2" id="T_bc64d422_c9fe_11e6_8f44_778134d549ffrow1_col2"><span class="yiyi-st" id="yiyi-177">-1.43871</span></td><td class="data row1 col3" id="T_bc64d422_c9fe_11e6_8f44_778134d549ffrow1_col3"><span class="yiyi-st" id="yiyi-178"> 0.564417 </span></td><td class="data row1 col4" id="T_bc64d422_c9fe_11e6_8f44_778134d549ffrow1_col4"><span class="yiyi-st" id="yiyi-179"> 0.295722 </span></td></tr>
<tr>
<th class="row_heading level0 row2" id="T_bc64d422_c9fe_11e6_8f44_778134d549ff" rowspan="1"><span class="yiyi-st" id="yiyi-180"> 2 </span></th><td class="data row2 col0" id="T_bc64d422_c9fe_11e6_8f44_778134d549ffrow2_col0"><span class="yiyi-st" id="yiyi-181"> 3 </span></td><td class="data row2 col1" id="T_bc64d422_c9fe_11e6_8f44_778134d549ffrow2_col1"><span class="yiyi-st" id="yiyi-182">-1.6264</span></td><td class="data row2 col2" id="T_bc64d422_c9fe_11e6_8f44_778134d549ffrow2_col2"><span class="yiyi-st" id="yiyi-183"> 0.219565 </span></td><td class="data row2 col3" id="T_bc64d422_c9fe_11e6_8f44_778134d549ffrow2_col3"><span class="yiyi-st" id="yiyi-184"> 0.678805 </span></td><td class="data row2 col4" id="T_bc64d422_c9fe_11e6_8f44_778134d549ffrow2_col4"><span class="yiyi-st" id="yiyi-185"> 1.88927 </span></td></tr>
<tr>
<th class="row_heading level0 row3" id="T_bc64d422_c9fe_11e6_8f44_778134d549ff" rowspan="1"><span class="yiyi-st" id="yiyi-186"> 3 </span></th><td class="data row3 col0" id="T_bc64d422_c9fe_11e6_8f44_778134d549ffrow3_col0"><span class="yiyi-st" id="yiyi-187"> 4 </span></td><td class="data row3 col1" id="T_bc64d422_c9fe_11e6_8f44_778134d549ffrow3_col1"><span class="yiyi-st" id="yiyi-188"> 0.961538 </span></td><td class="data row3 col2" id="T_bc64d422_c9fe_11e6_8f44_778134d549ffrow3_col2"><span class="yiyi-st" id="yiyi-189"> 0.104011 </span></td><td class="data row3 col3" id="T_bc64d422_c9fe_11e6_8f44_778134d549ffrow3_col3"><span class="yiyi-st" id="yiyi-190">-0.481165</span></td><td class="data row3 col4" id="T_bc64d422_c9fe_11e6_8f44_778134d549ffrow3_col4"><span class="yiyi-st" id="yiyi-191"> 0.850229 </span></td></tr>
<tr>
<th class="row_heading level0 row4" id="T_bc64d422_c9fe_11e6_8f44_778134d549ff" rowspan="1"><span class="yiyi-st" id="yiyi-192"> 4 </span></th><td class="data row4 col0" id="T_bc64d422_c9fe_11e6_8f44_778134d549ffrow4_col0"><span class="yiyi-st" id="yiyi-193"> 5 </span></td><td class="data row4 col1" id="T_bc64d422_c9fe_11e6_8f44_778134d549ffrow4_col1"><span class="yiyi-st" id="yiyi-194"> 1.45342 </span></td><td class="data row4 col2" id="T_bc64d422_c9fe_11e6_8f44_778134d549ffrow4_col2"><span class="yiyi-st" id="yiyi-195"> 1.05774 </span></td><td class="data row4 col3" id="T_bc64d422_c9fe_11e6_8f44_778134d549ffrow4_col3"><span class="yiyi-st" id="yiyi-196"> 0.165562 </span></td><td class="data row4 col4" id="T_bc64d422_c9fe_11e6_8f44_778134d549ffrow4_col4"><span class="yiyi-st" id="yiyi-197"> 0.515018 </span></td></tr>
<tr>
<th class="row_heading level0 row5" id="T_bc64d422_c9fe_11e6_8f44_778134d549ff" rowspan="1"><span class="yiyi-st" id="yiyi-198"> 5 </span></th><td class="data row5 col0" id="T_bc64d422_c9fe_11e6_8f44_778134d549ffrow5_col0"><span class="yiyi-st" id="yiyi-199"> 6 </span></td><td class="data row5 col1" id="T_bc64d422_c9fe_11e6_8f44_778134d549ffrow5_col1"><span class="yiyi-st" id="yiyi-200">-1.33694</span></td><td class="data row5 col2" id="T_bc64d422_c9fe_11e6_8f44_778134d549ffrow5_col2"><span class="yiyi-st" id="yiyi-201"> 0.562861 </span></td><td class="data row5 col3" id="T_bc64d422_c9fe_11e6_8f44_778134d549ffrow5_col3"><span class="yiyi-st" id="yiyi-202"> 1.39285 </span></td><td class="data row5 col4" id="T_bc64d422_c9fe_11e6_8f44_778134d549ffrow5_col4"><span class="yiyi-st" id="yiyi-203">-0.063328</span></td></tr>
<tr>
<th class="row_heading level0 row6" id="T_bc64d422_c9fe_11e6_8f44_778134d549ff" rowspan="1"><span class="yiyi-st" id="yiyi-204"> 6 </span></th><td class="data row6 col0" id="T_bc64d422_c9fe_11e6_8f44_778134d549ffrow6_col0"><span class="yiyi-st" id="yiyi-205"> 7 </span></td><td class="data row6 col1" id="T_bc64d422_c9fe_11e6_8f44_778134d549ffrow6_col1"><span class="yiyi-st" id="yiyi-206"> 0.121668 </span></td><td class="data row6 col2" id="T_bc64d422_c9fe_11e6_8f44_778134d549ffrow6_col2"><span class="yiyi-st" id="yiyi-207"> 1.2076 </span></td><td class="data row6 col3" id="T_bc64d422_c9fe_11e6_8f44_778134d549ffrow6_col3"><span class="yiyi-st" id="yiyi-208">-0.00204021</span></td><td class="data row6 col4" id="T_bc64d422_c9fe_11e6_8f44_778134d549ffrow6_col4"><span class="yiyi-st" id="yiyi-209"> 1.6278 </span></td></tr>
<tr>
<th class="row_heading level0 row7" id="T_bc64d422_c9fe_11e6_8f44_778134d549ff" rowspan="1"><span class="yiyi-st" id="yiyi-210"> 7 </span></th><td class="data row7 col0" id="T_bc64d422_c9fe_11e6_8f44_778134d549ffrow7_col0"><span class="yiyi-st" id="yiyi-211"> 8 </span></td><td class="data row7 col1" id="T_bc64d422_c9fe_11e6_8f44_778134d549ffrow7_col1"><span class="yiyi-st" id="yiyi-212"> 0.354493 </span></td><td class="data row7 col2" id="T_bc64d422_c9fe_11e6_8f44_778134d549ffrow7_col2"><span class="yiyi-st" id="yiyi-213"> 1.03753 </span></td><td class="data row7 col3" id="T_bc64d422_c9fe_11e6_8f44_778134d549ffrow7_col3"><span class="yiyi-st" id="yiyi-214">-0.385684</span></td><td class="data row7 col4" id="T_bc64d422_c9fe_11e6_8f44_778134d549ffrow7_col4"><span class="yiyi-st" id="yiyi-215"> 0.519818 </span></td></tr>
<tr>
<th class="row_heading level0 row8" id="T_bc64d422_c9fe_11e6_8f44_778134d549ff" rowspan="1"><span class="yiyi-st" id="yiyi-216"> 8 </span></th><td class="data row8 col0" id="T_bc64d422_c9fe_11e6_8f44_778134d549ffrow8_col0"><span class="yiyi-st" id="yiyi-217"> 9 </span></td><td class="data row8 col1" id="T_bc64d422_c9fe_11e6_8f44_778134d549ffrow8_col1"><span class="yiyi-st" id="yiyi-218"> 1.68658 </span></td><td class="data row8 col2" id="T_bc64d422_c9fe_11e6_8f44_778134d549ffrow8_col2"><span class="yiyi-st" id="yiyi-219">-1.32596</span></td><td class="data row8 col3" id="T_bc64d422_c9fe_11e6_8f44_778134d549ffrow8_col3"><span class="yiyi-st" id="yiyi-220"> 1.42898 </span></td><td class="data row8 col4" id="T_bc64d422_c9fe_11e6_8f44_778134d549ffrow8_col4"><span class="yiyi-st" id="yiyi-221">-2.08935</span></td></tr>
<tr>
<th class="row_heading level0 row9" id="T_bc64d422_c9fe_11e6_8f44_778134d549ff" rowspan="1"><span class="yiyi-st" id="yiyi-222"> 9 </span></th><td class="data row9 col0" id="T_bc64d422_c9fe_11e6_8f44_778134d549ffrow9_col0"><span class="yiyi-st" id="yiyi-223"> 10 </span></td><td class="data row9 col1" id="T_bc64d422_c9fe_11e6_8f44_778134d549ffrow9_col1"><span class="yiyi-st" id="yiyi-224">-0.12982</span></td><td class="data row9 col2" id="T_bc64d422_c9fe_11e6_8f44_778134d549ffrow9_col2"><span class="yiyi-st" id="yiyi-225"> 0.631523 </span></td><td class="data row9 col3" id="T_bc64d422_c9fe_11e6_8f44_778134d549ffrow9_col3"><span class="yiyi-st" id="yiyi-226">-0.586538</span></td><td class="data row9 col4" id="T_bc64d422_c9fe_11e6_8f44_778134d549ffrow9_col4"><span class="yiyi-st" id="yiyi-227"> 0.29072 </span></td></tr>
</tbody>
</table>
</div>
</div>
</div>
</div>
</div>
<div class="cell border-box-sizing text_cell rendered">
<div class="prompt input_prompt">
</div>
<div class="inner_cell">
<div class="text_cell_render border-box-sizing rendered_html">
<p><span class="yiyi-st" id="yiyi-228">注意与标准<code>df.applymap</code>的相似性，它在元素方面对DataFrames进行操作。</span><span class="yiyi-st" id="yiyi-229">我们希望您能够重新使用您现有的如何与DataFrames交互的知识。</span></p>
<p><span class="yiyi-st" id="yiyi-230">还要注意，我们的函数返回一个包含CSS属性和值的字符串，用冒号分隔，就像在<code>＆lt； style＆gt；</code>标签中。</span><span class="yiyi-st" id="yiyi-231">这将是一个共同的主题。</span></p>
<p><span class="yiyi-st" id="yiyi-232">最后，输入形状匹配。</span><span class="yiyi-st" id="yiyi-233"><code>Styler.applymap</code>在每个标量输入上调用函数，函数返回标量输出。</span></p>
</div>
</div>
</div>
<div class="cell border-box-sizing text_cell rendered">
<div class="prompt input_prompt">
</div>
<div class="inner_cell">
<div class="text_cell_render border-box-sizing rendered_html">
<p><span class="yiyi-st" id="yiyi-234">现在假设您想突出显示每列中的最大值。</span><span class="yiyi-st" id="yiyi-235">我们不能使用<code>.applymap</code>，因为它是按元素操作的。</span><span class="yiyi-st" id="yiyi-236">相反，我们将转到<code>.apply</code>，它按列方式操作（或使用<code>轴</code>关键字按行操作）。</span><span class="yiyi-st" id="yiyi-237">稍后我们会看到<code>highlight_max</code>已在<code>Styler</code>上定义，因此您不需要自己编写。</span></p>
</div>
</div>
</div>
<div class="cell border-box-sizing code_cell rendered">
<div class="input">
<div class="prompt input_prompt"><span class="yiyi-st" id="yiyi-238">在[6]：</span></div>
<div class="inner_cell">
<div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">highlight_max</span><span class="p">(</span><span class="n">s</span><span class="p">):</span>
<span class="sd">'''</span>
<span class="sd"> highlight the maximum in a Series yellow.</span>
<span class="sd"> '''</span>
<span class="n">is_max</span> <span class="o">=</span> <span class="n">s</span> <span class="o">==</span> <span class="n">s</span><span class="o">.</span><span class="n">max</span><span class="p">()</span>
<span class="k">return</span> <span class="p">[</span><span class="s1">'background-color: yellow'</span> <span class="k">if</span> <span class="n">v</span> <span class="k">else</span> <span class="s1">''</span> <span class="k">for</span> <span class="n">v</span> <span class="ow">in</span> <span class="n">is_max</span><span class="p">]</span>
</pre></div>
</div>
</div>
</div>
</div>
<div class="cell border-box-sizing code_cell rendered">
<div class="input">
<div class="prompt input_prompt"><span class="yiyi-st" id="yiyi-239">在[7]：</span></div>
<div class="inner_cell">
<div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df</span><span class="o">.</span><span class="n">style</span><span class="o">.</span><span class="n">apply</span><span class="p">(</span><span class="n">highlight_max</span><span class="p">)</span>
</pre></div>
</div>
</div>
</div>
<div class="output_wrapper">
<div class="output">
<div class="output_area"><div class="prompt output_prompt"><span class="yiyi-st" id="yiyi-240">出[7]：</span></div>
<div class="output_html rendered_html output_subarea output_execute_result">
<style type="text/css">
#T_bc6c08dc_c9fe_11e6_8f44_778134d549ffrow2_col4 {
background-color: yellow;
}
#T_bc6c08dc_c9fe_11e6_8f44_778134d549ffrow6_col2 {
background-color: yellow;
}
#T_bc6c08dc_c9fe_11e6_8f44_778134d549ffrow8_col1 {
background-color: yellow;
}
#T_bc6c08dc_c9fe_11e6_8f44_778134d549ffrow8_col3 {
background-color: yellow;
}
#T_bc6c08dc_c9fe_11e6_8f44_778134d549ffrow9_col0 {
background-color: yellow;
}
</style>
<table id="T_bc6c08dc_c9fe_11e6_8f44_778134d549ff" none="">
<thead>
<tr>
<th class="blank level0">
</th><th class="col_heading level0 col0" colspan="1"><span class="yiyi-st" id="yiyi-241">一个</span></th><th class="col_heading level0 col1" colspan="1"><span class="yiyi-st" id="yiyi-242">B</span></th><th class="col_heading level0 col2" colspan="1"><span class="yiyi-st" id="yiyi-243">C</span></th><th class="col_heading level0 col3" colspan="1"><span class="yiyi-st" id="yiyi-244">D</span></th><th class="col_heading level0 col4" colspan="1"><span class="yiyi-st" id="yiyi-245">E</span></th></tr>
</thead>
<tbody>
<tr>
<th class="row_heading level0 row0" id="T_bc6c08dc_c9fe_11e6_8f44_778134d549ff" rowspan="1"><span class="yiyi-st" id="yiyi-246"> 0 </span></th><td class="data row0 col0" id="T_bc6c08dc_c9fe_11e6_8f44_778134d549ffrow0_col0"><span class="yiyi-st" id="yiyi-247"> 1 </span></td><td class="data row0 col1" id="T_bc6c08dc_c9fe_11e6_8f44_778134d549ffrow0_col1"><span class="yiyi-st" id="yiyi-248"> 1.32921 </span></td><td class="data row0 col2" id="T_bc6c08dc_c9fe_11e6_8f44_778134d549ffrow0_col2"><span class="yiyi-st" id="yiyi-249">南</span></td><td class="data row0 col3" id="T_bc6c08dc_c9fe_11e6_8f44_778134d549ffrow0_col3"><span class="yiyi-st" id="yiyi-250">-0.31628</span></td><td class="data row0 col4" id="T_bc6c08dc_c9fe_11e6_8f44_778134d549ffrow0_col4"><span class="yiyi-st" id="yiyi-251">-0.99081</span></td></tr>
<tr>
<th class="row_heading level0 row1" id="T_bc6c08dc_c9fe_11e6_8f44_778134d549ff" rowspan="1"><span class="yiyi-st" id="yiyi-252"> 1 </span></th><td class="data row1 col0" id="T_bc6c08dc_c9fe_11e6_8f44_778134d549ffrow1_col0"><span class="yiyi-st" id="yiyi-253"> 2 </span></td><td class="data row1 col1" id="T_bc6c08dc_c9fe_11e6_8f44_778134d549ffrow1_col1"><span class="yiyi-st" id="yiyi-254">-1.07082</span></td><td class="data row1 col2" id="T_bc6c08dc_c9fe_11e6_8f44_778134d549ffrow1_col2"><span class="yiyi-st" id="yiyi-255">-1.43871</span></td><td class="data row1 col3" id="T_bc6c08dc_c9fe_11e6_8f44_778134d549ffrow1_col3"><span class="yiyi-st" id="yiyi-256"> 0.564417 </span></td><td class="data row1 col4" id="T_bc6c08dc_c9fe_11e6_8f44_778134d549ffrow1_col4"><span class="yiyi-st" id="yiyi-257"> 0.295722 </span></td></tr>
<tr>
<th class="row_heading level0 row2" id="T_bc6c08dc_c9fe_11e6_8f44_778134d549ff" rowspan="1"><span class="yiyi-st" id="yiyi-258"> 2 </span></th><td class="data row2 col0" id="T_bc6c08dc_c9fe_11e6_8f44_778134d549ffrow2_col0"><span class="yiyi-st" id="yiyi-259"> 3 </span></td><td class="data row2 col1" id="T_bc6c08dc_c9fe_11e6_8f44_778134d549ffrow2_col1"><span class="yiyi-st" id="yiyi-260">-1.6264</span></td><td class="data row2 col2" id="T_bc6c08dc_c9fe_11e6_8f44_778134d549ffrow2_col2"><span class="yiyi-st" id="yiyi-261"> 0.219565 </span></td><td class="data row2 col3" id="T_bc6c08dc_c9fe_11e6_8f44_778134d549ffrow2_col3"><span class="yiyi-st" id="yiyi-262"> 0.678805 </span></td><td class="data row2 col4" id="T_bc6c08dc_c9fe_11e6_8f44_778134d549ffrow2_col4"><span class="yiyi-st" id="yiyi-263"> 1.88927 </span></td></tr>
<tr>
<th class="row_heading level0 row3" id="T_bc6c08dc_c9fe_11e6_8f44_778134d549ff" rowspan="1"><span class="yiyi-st" id="yiyi-264"> 3 </span></th><td class="data row3 col0" id="T_bc6c08dc_c9fe_11e6_8f44_778134d549ffrow3_col0"><span class="yiyi-st" id="yiyi-265"> 4 </span></td><td class="data row3 col1" id="T_bc6c08dc_c9fe_11e6_8f44_778134d549ffrow3_col1"><span class="yiyi-st" id="yiyi-266"> 0.961538 </span></td><td class="data row3 col2" id="T_bc6c08dc_c9fe_11e6_8f44_778134d549ffrow3_col2"><span class="yiyi-st" id="yiyi-267"> 0.104011 </span></td><td class="data row3 col3" id="T_bc6c08dc_c9fe_11e6_8f44_778134d549ffrow3_col3"><span class="yiyi-st" id="yiyi-268">-0.481165</span></td><td class="data row3 col4" id="T_bc6c08dc_c9fe_11e6_8f44_778134d549ffrow3_col4"><span class="yiyi-st" id="yiyi-269"> 0.850229 </span></td></tr>
<tr>
<th class="row_heading level0 row4" id="T_bc6c08dc_c9fe_11e6_8f44_778134d549ff" rowspan="1"><span class="yiyi-st" id="yiyi-270"> 4 </span></th><td class="data row4 col0" id="T_bc6c08dc_c9fe_11e6_8f44_778134d549ffrow4_col0"><span class="yiyi-st" id="yiyi-271"> 5 </span></td><td class="data row4 col1" id="T_bc6c08dc_c9fe_11e6_8f44_778134d549ffrow4_col1"><span class="yiyi-st" id="yiyi-272"> 1.45342 </span></td><td class="data row4 col2" id="T_bc6c08dc_c9fe_11e6_8f44_778134d549ffrow4_col2"><span class="yiyi-st" id="yiyi-273"> 1.05774 </span></td><td class="data row4 col3" id="T_bc6c08dc_c9fe_11e6_8f44_778134d549ffrow4_col3"><span class="yiyi-st" id="yiyi-274"> 0.165562 </span></td><td class="data row4 col4" id="T_bc6c08dc_c9fe_11e6_8f44_778134d549ffrow4_col4"><span class="yiyi-st" id="yiyi-275"> 0.515018 </span></td></tr>
<tr>
<th class="row_heading level0 row5" id="T_bc6c08dc_c9fe_11e6_8f44_778134d549ff" rowspan="1"><span class="yiyi-st" id="yiyi-276"> 5 </span></th><td class="data row5 col0" id="T_bc6c08dc_c9fe_11e6_8f44_778134d549ffrow5_col0"><span class="yiyi-st" id="yiyi-277"> 6 </span></td><td class="data row5 col1" id="T_bc6c08dc_c9fe_11e6_8f44_778134d549ffrow5_col1"><span class="yiyi-st" id="yiyi-278">-1.33694</span></td><td class="data row5 col2" id="T_bc6c08dc_c9fe_11e6_8f44_778134d549ffrow5_col2"><span class="yiyi-st" id="yiyi-279"> 0.562861 </span></td><td class="data row5 col3" id="T_bc6c08dc_c9fe_11e6_8f44_778134d549ffrow5_col3"><span class="yiyi-st" id="yiyi-280"> 1.39285 </span></td><td class="data row5 col4" id="T_bc6c08dc_c9fe_11e6_8f44_778134d549ffrow5_col4"><span class="yiyi-st" id="yiyi-281">-0.063328</span></td></tr>
<tr>
<th class="row_heading level0 row6" id="T_bc6c08dc_c9fe_11e6_8f44_778134d549ff" rowspan="1"><span class="yiyi-st" id="yiyi-282"> 6 </span></th><td class="data row6 col0" id="T_bc6c08dc_c9fe_11e6_8f44_778134d549ffrow6_col0"><span class="yiyi-st" id="yiyi-283"> 7 </span></td><td class="data row6 col1" id="T_bc6c08dc_c9fe_11e6_8f44_778134d549ffrow6_col1"><span class="yiyi-st" id="yiyi-284"> 0.121668 </span></td><td class="data row6 col2" id="T_bc6c08dc_c9fe_11e6_8f44_778134d549ffrow6_col2"><span class="yiyi-st" id="yiyi-285"> 1.2076 </span></td><td class="data row6 col3" id="T_bc6c08dc_c9fe_11e6_8f44_778134d549ffrow6_col3"><span class="yiyi-st" id="yiyi-286">-0.00204021</span></td><td class="data row6 col4" id="T_bc6c08dc_c9fe_11e6_8f44_778134d549ffrow6_col4"><span class="yiyi-st" id="yiyi-287"> 1.6278 </span></td></tr>
<tr>
<th class="row_heading level0 row7" id="T_bc6c08dc_c9fe_11e6_8f44_778134d549ff" rowspan="1"><span class="yiyi-st" id="yiyi-288"> 7 </span></th><td class="data row7 col0" id="T_bc6c08dc_c9fe_11e6_8f44_778134d549ffrow7_col0"><span class="yiyi-st" id="yiyi-289"> 8 </span></td><td class="data row7 col1" id="T_bc6c08dc_c9fe_11e6_8f44_778134d549ffrow7_col1"><span class="yiyi-st" id="yiyi-290"> 0.354493 </span></td><td class="data row7 col2" id="T_bc6c08dc_c9fe_11e6_8f44_778134d549ffrow7_col2"><span class="yiyi-st" id="yiyi-291"> 1.03753 </span></td><td class="data row7 col3" id="T_bc6c08dc_c9fe_11e6_8f44_778134d549ffrow7_col3"><span class="yiyi-st" id="yiyi-292">-0.385684</span></td><td class="data row7 col4" id="T_bc6c08dc_c9fe_11e6_8f44_778134d549ffrow7_col4"><span class="yiyi-st" id="yiyi-293"> 0.519818 </span></td></tr>
<tr>
<th class="row_heading level0 row8" id="T_bc6c08dc_c9fe_11e6_8f44_778134d549ff" rowspan="1"><span class="yiyi-st" id="yiyi-294"> 8 </span></th><td class="data row8 col0" id="T_bc6c08dc_c9fe_11e6_8f44_778134d549ffrow8_col0"><span class="yiyi-st" id="yiyi-295"> 9 </span></td><td class="data row8 col1" id="T_bc6c08dc_c9fe_11e6_8f44_778134d549ffrow8_col1"><span class="yiyi-st" id="yiyi-296"> 1.68658 </span></td><td class="data row8 col2" id="T_bc6c08dc_c9fe_11e6_8f44_778134d549ffrow8_col2"><span class="yiyi-st" id="yiyi-297">-1.32596</span></td><td class="data row8 col3" id="T_bc6c08dc_c9fe_11e6_8f44_778134d549ffrow8_col3"><span class="yiyi-st" id="yiyi-298"> 1.42898 </span></td><td class="data row8 col4" id="T_bc6c08dc_c9fe_11e6_8f44_778134d549ffrow8_col4"><span class="yiyi-st" id="yiyi-299">-2.08935</span></td></tr>
<tr>
<th class="row_heading level0 row9" id="T_bc6c08dc_c9fe_11e6_8f44_778134d549ff" rowspan="1"><span class="yiyi-st" id="yiyi-300"> 9 </span></th><td class="data row9 col0" id="T_bc6c08dc_c9fe_11e6_8f44_778134d549ffrow9_col0"><span class="yiyi-st" id="yiyi-301"> 10 </span></td><td class="data row9 col1" id="T_bc6c08dc_c9fe_11e6_8f44_778134d549ffrow9_col1"><span class="yiyi-st" id="yiyi-302">-0.12982</span></td><td class="data row9 col2" id="T_bc6c08dc_c9fe_11e6_8f44_778134d549ffrow9_col2"><span class="yiyi-st" id="yiyi-303"> 0.631523 </span></td><td class="data row9 col3" id="T_bc6c08dc_c9fe_11e6_8f44_778134d549ffrow9_col3"><span class="yiyi-st" id="yiyi-304">-0.586538</span></td><td class="data row9 col4" id="T_bc6c08dc_c9fe_11e6_8f44_778134d549ffrow9_col4"><span class="yiyi-st" id="yiyi-305"> 0.29072 </span></td></tr>
</tbody>
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<p><span class="yiyi-st" id="yiyi-306">在这种情况下，输入为<code>Series</code>，一次一列。</span><span class="yiyi-st" id="yiyi-307">请注意，<code>highlight_max</code>的输出形状与输入形状匹配，即具有<code>len（s）</code>项的数组。</span></p>
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<div class="text_cell_render border-box-sizing rendered_html">
<p><span class="yiyi-st" id="yiyi-308">我们鼓励您使用方法链在分段式构建样式，最后在链的末尾呈现。</span></p>
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<div class="prompt input_prompt"><span class="yiyi-st" id="yiyi-309">在[8]：</span></div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df</span><span class="o">.</span><span class="n">style</span><span class="o">.</span>\
<span class="n">applymap</span><span class="p">(</span><span class="n">color_negative_red</span><span class="p">)</span><span class="o">.</span>\
<span class="n">apply</span><span class="p">(</span><span class="n">highlight_max</span><span class="p">)</span>
</pre></div>
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<div class="output_area"><div class="prompt output_prompt"><span class="yiyi-st" id="yiyi-310">Out [8]：</span></div>
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