numpy.hstack.html

<h1><span class="yiyi-st" id="yiyi-12">numpy.hstack</span></h1>
        <blockquote>
        <p>原文：<a href="https://docs.scipy.org/doc/numpy/reference/generated/numpy.hstack.html">https://docs.scipy.org/doc/numpy/reference/generated/numpy.hstack.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>
    
<dl class="function">
<dt id="numpy.hstack"><span class="yiyi-st" id="yiyi-13"> <code class="descclassname">numpy.</code><code class="descname">hstack</code><span class="sig-paren">(</span><em>tup</em><span class="sig-paren">)</span><a class="reference external" href="http://github.com/numpy/numpy/blob/v1.11.3/numpy/core/shape_base.py#L232-L280"><span class="viewcode-link">[source]</span></a></span></dt>
<dd><p><span class="yiyi-st" id="yiyi-14">水平（按列顺序）堆叠数组。</span></p>
<p><span class="yiyi-st" id="yiyi-15">取一个数组的序列，并将它们水平堆叠以构成一个数组。</span><span class="yiyi-st" id="yiyi-16">重建数组除以<a class="reference internal" href="numpy.hsplit.html#numpy.hsplit" title="numpy.hsplit"><code class="xref py py-obj docutils literal"><span class="pre">hsplit</span></code></a>。</span></p>
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<tr class="field-odd field"><th class="field-name"><span class="yiyi-st" id="yiyi-17">参数：</span></th><td class="field-body"><p class="first"><span class="yiyi-st" id="yiyi-18"><strong>tup</strong>：ndarrays的序列</span></p>
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<div><p><span class="yiyi-st" id="yiyi-19">除第二个轴外，所有数组必须具有相同的形状。</span></p>
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<tr class="field-even field"><th class="field-name"><span class="yiyi-st" id="yiyi-20">返回：</span></th><td class="field-body"><p class="first"><span class="yiyi-st" id="yiyi-21"><strong>堆叠</strong>：ndarray</span></p>
<blockquote class="last">
<div><p><span class="yiyi-st" id="yiyi-22">通过堆叠给定数组形成的数组。</span></p>
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<div class="admonition seealso">
<p class="first admonition-title"><span class="yiyi-st" id="yiyi-23">也可以看看</span></p>
<dl class="last docutils">
<dt><span class="yiyi-st" id="yiyi-24"><a class="reference internal" href="numpy.stack.html#numpy.stack" title="numpy.stack"><code class="xref py py-obj docutils literal"><span class="pre">stack</span></code></a></span></dt>
<dd><span class="yiyi-st" id="yiyi-25">沿着新轴连接数组的序列。</span></dd>
<dt><span class="yiyi-st" id="yiyi-26"><a class="reference internal" href="numpy.vstack.html#numpy.vstack" title="numpy.vstack"><code class="xref py py-obj docutils literal"><span class="pre">vstack</span></code></a></span></dt>
<dd><span class="yiyi-st" id="yiyi-27">垂直（按行）顺序堆叠数组。</span></dd>
<dt><span class="yiyi-st" id="yiyi-28"><a class="reference internal" href="numpy.dstack.html#numpy.dstack" title="numpy.dstack"><code class="xref py py-obj docutils literal"><span class="pre">dstack</span></code></a></span></dt>
<dd><span class="yiyi-st" id="yiyi-29">按照深度顺序（沿第三轴）堆叠数组。</span></dd>
<dt><span class="yiyi-st" id="yiyi-30"><a class="reference internal" href="numpy.concatenate.html#numpy.concatenate" title="numpy.concatenate"><code class="xref py py-obj docutils literal"><span class="pre">concatenate</span></code></a></span></dt>
<dd><span class="yiyi-st" id="yiyi-31">沿现有轴连接数组序列。</span></dd>
<dt><span class="yiyi-st" id="yiyi-32"><a class="reference internal" href="numpy.hsplit.html#numpy.hsplit" title="numpy.hsplit"><code class="xref py py-obj docutils literal"><span class="pre">hsplit</span></code></a></span></dt>
<dd><span class="yiyi-st" id="yiyi-33">沿第二轴拆分数组。</span></dd>
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<p class="rubric"><span class="yiyi-st" id="yiyi-34">笔记</span></p>
<p><span class="yiyi-st" id="yiyi-35">等效于<code class="docutils literal"><span class="pre">np.concatenate（tup，</span> <span class="pre">axis = 1）</span></code></span></p>
<p class="rubric"><span class="yiyi-st" id="yiyi-36">例子</span></p>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">a</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">((</span><span class="mi">1</span><span class="p">,</span><span class="mi">2</span><span class="p">,</span><span class="mi">3</span><span class="p">))</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">b</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">((</span><span class="mi">2</span><span class="p">,</span><span class="mi">3</span><span class="p">,</span><span class="mi">4</span><span class="p">))</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">np</span><span class="o">.</span><span class="n">hstack</span><span class="p">((</span><span class="n">a</span><span class="p">,</span><span class="n">b</span><span class="p">))</span>
<span class="go">array([1, 2, 3, 2, 3, 4])</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">a</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([[</span><span class="mi">1</span><span class="p">],[</span><span class="mi">2</span><span class="p">],[</span><span class="mi">3</span><span class="p">]])</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">b</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([[</span><span class="mi">2</span><span class="p">],[</span><span class="mi">3</span><span class="p">],[</span><span class="mi">4</span><span class="p">]])</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">np</span><span class="o">.</span><span class="n">hstack</span><span class="p">((</span><span class="n">a</span><span class="p">,</span><span class="n">b</span><span class="p">))</span>
<span class="go">array([[1, 2],</span>
<span class="go">       [2, 3],</span>
<span class="go">       [3, 4]])</span>
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