numpy.ma.compress_rowcols.html

<h1><span class="yiyi-st" id="yiyi-13">numpy.ma.compress_rowcols</span></h1>
        <blockquote>
        <p>原文：<a href="https://docs.scipy.org/doc/numpy/reference/generated/numpy.ma.compress_rowcols.html">https://docs.scipy.org/doc/numpy/reference/generated/numpy.ma.compress_rowcols.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.ma.compress_rowcols"><span class="yiyi-st" id="yiyi-14"> <code class="descclassname">numpy.ma.</code><code class="descname">compress_rowcols</code><span class="sig-paren">(</span><em>x</em>, <em>axis=None</em><span class="sig-paren">)</span><a class="reference external" href="http://github.com/numpy/numpy/blob/v1.11.3/numpy/ma/extras.py#L744-L797"><span class="viewcode-link">[source]</span></a></span></dt>
<dd><p><span class="yiyi-st" id="yiyi-15">抑制包含屏蔽值的2-D数组的行和/或列。</span></p>
<p><span class="yiyi-st" id="yiyi-16">抑制行为通过<em class="xref py py-obj">axis</em>参数选择。</span></p>
<ul class="simple">
<li><span class="yiyi-st" id="yiyi-17">如果axis为None，则行和列都被抑制。</span></li>
<li><span class="yiyi-st" id="yiyi-18">如果axis为0，则只抑制行。</span></li>
<li><span class="yiyi-st" id="yiyi-19">如果axis为1或-1，则只抑制列。</span></li>
</ul>
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<tr class="field-odd field"><th class="field-name"><span class="yiyi-st" id="yiyi-20">参数：</span></th><td class="field-body"><p class="first"><span class="yiyi-st" id="yiyi-21"><strong>x</strong>：array_like，MaskedArray</span></p>
<blockquote>
<div><p><span class="yiyi-st" id="yiyi-22">数组要操作。</span><span class="yiyi-st" id="yiyi-23">如果不是MaskedArray实例（或者如果没有数组元素被屏蔽），则<em class="xref py py-obj">x</em>被解释为MaskedArray，其中<em class="xref py py-obj">掩码</em>设置为<a class="reference internal" href="../maskedarray.baseclass.html#numpy.ma.nomask" title="numpy.ma.nomask"><code class="xref py py-obj docutils literal"><span class="pre">nomask</span></code></a>。</span><span class="yiyi-st" id="yiyi-24">必须是2D数组。</span></p>
</div></blockquote>
<p><span class="yiyi-st" id="yiyi-25"><strong>axis</strong>：int，可选</span></p>
<blockquote>
<div><p><span class="yiyi-st" id="yiyi-26">沿其执行操作的轴。</span><span class="yiyi-st" id="yiyi-27">默认值为None。</span></p>
</div></blockquote>
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<tr class="field-even field"><th class="field-name"><span class="yiyi-st" id="yiyi-28">返回：</span></th><td class="field-body"><p class="first"><span class="yiyi-st" id="yiyi-29"><strong>compressed_array</strong>：ndarray</span></p>
<blockquote class="last">
<div><p><span class="yiyi-st" id="yiyi-30">压缩的数组。</span></p>
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<p class="rubric"><span class="yiyi-st" id="yiyi-31">例子</span></p>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">x</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">ma</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="mi">9</span><span class="p">)</span><span class="o">.</span><span class="n">reshape</span><span class="p">(</span><span class="mi">3</span><span class="p">,</span> <span class="mi">3</span><span class="p">),</span> <span class="n">mask</span><span class="o">=</span><span class="p">[[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">],</span>
<span class="gp">... </span>                                                  <span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">],</span>
<span class="gp">... </span>                                                  <span class="p">[</span><span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">]])</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">x</span>
<span class="go">masked_array(data =</span>
<span class="go"> [[-- 1 2]</span>
<span class="go"> [-- 4 5]</span>
<span class="go"> [6 7 8]],</span>
<span class="go">             mask =</span>
<span class="go"> [[ True False False]</span>
<span class="go"> [ True False False]</span>
<span class="go"> [False False False]],</span>
<span class="go">       fill_value = 999999)</span>
</pre></div>
</div>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">np</span><span class="o">.</span><span class="n">ma</span><span class="o">.</span><span class="n">compress_rowcols</span><span class="p">(</span><span class="n">x</span><span class="p">)</span>
<span class="go">array([[7, 8]])</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">np</span><span class="o">.</span><span class="n">ma</span><span class="o">.</span><span class="n">compress_rowcols</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="mi">0</span><span class="p">)</span>
<span class="go">array([[6, 7, 8]])</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">np</span><span class="o">.</span><span class="n">ma</span><span class="o">.</span><span class="n">compress_rowcols</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="mi">1</span><span class="p">)</span>
<span class="go">array([[1, 2],</span>
<span class="go">       [4, 5],</span>
<span class="go">       [7, 8]])</span>
</pre></div>
</div>
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