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<section id="numpy-argwhere">
<h1>numpy.argwhere<a class="headerlink" href="#numpy-argwhere" title="Link to this heading">#</a></h1>
<dl class="py function">
<dt class="sig sig-object py" id="numpy.argwhere">
<span class="sig-prename descclassname"><span class="pre">numpy.</span></span><span class="sig-name descname"><span class="pre">argwhere</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">a</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/numpy/numpy/blob/main/numpy/_core/numeric.py#L591-L639"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#numpy.argwhere" title="Link to this definition">#</a></dt>
<dd><p>Find the indices of array elements that are non-zero, grouped by element.</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters<span class="colon">:</span></dt>
<dd class="field-odd"><dl class="simple">
<dt><strong>a</strong><span class="classifier">array_like</span></dt><dd><p>Input data.</p>
</dd>
</dl>
</dd>
<dt class="field-even">Returns<span class="colon">:</span></dt>
<dd class="field-even"><dl class="simple">
<dt><strong>index_array</strong><span class="classifier">(N, a.ndim) ndarray</span></dt><dd><p>Indices of elements that are non-zero. Indices are grouped by element.
This array will have shape <code class="docutils literal notranslate"><span class="pre">(N,</span> <span class="pre">a.ndim)</span></code> where <code class="docutils literal notranslate"><span class="pre">N</span></code> is the number of
non-zero items.</p>
</dd>
</dl>
</dd>
</dl>
<div class="admonition seealso">
<p class="admonition-title">See also</p>
<dl class="simple">
<dt><a class="reference internal" href="numpy.where.html#numpy.where" title="numpy.where"><code class="xref py py-obj docutils literal notranslate"><span class="pre">where</span></code></a>, <a class="reference internal" href="numpy.nonzero.html#numpy.nonzero" title="numpy.nonzero"><code class="xref py py-obj docutils literal notranslate"><span class="pre">nonzero</span></code></a></dt><dd></dd>
</dl>
</div>
<p class="rubric">Notes</p>
<p><code class="docutils literal notranslate"><span class="pre">np.argwhere(a)</span></code> is almost the same as <code class="docutils literal notranslate"><span class="pre">np.transpose(np.nonzero(a))</span></code>,
but produces a result of the correct shape for a 0D array.</p>
<p>The output of <code class="docutils literal notranslate"><span class="pre">argwhere</span></code> is not suitable for indexing arrays.
For this purpose use <code class="docutils literal notranslate"><span class="pre">nonzero(a)</span></code> instead.</p>
<p class="rubric">Examples</p>
<div class="try_examples_outer_container docutils container" id="2a2a192f-049a-413f-a645-6059ab993b91">
<div class="try_examples_button_container"><button class="try_examples_button" onclick="window.tryExamplesShowIframe('2a2a192f-049a-413f-a645-6059ab993b91','1480af3a-1390-4dcf-975f-fcad1ccf8412','c2d47269-5c74-45d5-93e2-2828c016e850','../../lite/tree/../notebooks/index.html?path=be161bd2_1d6f_4cb3_8660_7142ce168942.ipynb','None')">Try it in your browser!</button></div><div class="try_examples_content docutils container">
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="kn">import</span><span class="w"> </span><span class="nn">numpy</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">np</span>
<span class="gp">>>> </span><span class="n">x</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="mi">6</span><span class="p">)</span><span class="o">.</span><span class="n">reshape</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">>>> </span><span class="n">x</span>
<span class="go">array([[0, 1, 2],</span>
<span class="go"> [3, 4, 5]])</span>
<span class="gp">>>> </span><span class="n">np</span><span class="o">.</span><span class="n">argwhere</span><span class="p">(</span><span class="n">x</span><span class="o">></span><span class="mi">1</span><span class="p">)</span>
<span class="go">array([[0, 2],</span>
<span class="go"> [1, 0],</span>
<span class="go"> [1, 1],</span>
<span class="go"> [1, 2]])</span>
</pre></div>
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