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<!DOCTYPE html>
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<section id="numpy-append">
<h1>numpy.append<a class="headerlink" href="#numpy-append" title="Link to this heading">#</a></h1>
<dl class="py function">
<dt class="sig sig-object py" id="numpy.append">
<span class="sig-prename descclassname"><span class="pre">numpy.</span></span><span class="sig-name descname"><span class="pre">append</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">arr</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">values</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">axis</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/numpy/numpy/blob/main/numpy/lib/_function_base_impl.py#L5627-L5694"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#numpy.append" title="Link to this definition">#</a></dt>
<dd><p>Append values to the end of an array.</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>arr</strong><span class="classifier">array_like</span></dt><dd><p>Values are appended to a copy of this array.</p>
</dd>
<dt><strong>values</strong><span class="classifier">array_like</span></dt><dd><p>These values are appended to a copy of <em class="xref py py-obj">arr</em>. It must be of the
correct shape (the same shape as <em class="xref py py-obj">arr</em>, excluding <em class="xref py py-obj">axis</em>). If
<em class="xref py py-obj">axis</em> is not specified, <em class="xref py py-obj">values</em> can be any shape and will be
flattened before use.</p>
</dd>
<dt><strong>axis</strong><span class="classifier">int, optional</span></dt><dd><p>The axis along which <em class="xref py py-obj">values</em> are appended. If <em class="xref py py-obj">axis</em> is not
given, both <em class="xref py py-obj">arr</em> and <em class="xref py py-obj">values</em> are flattened before use.</p>
</dd>
</dl>
</dd>
<dt class="field-even">Returns<span class="colon">:</span></dt>
<dd class="field-even"><dl class="simple">
<dt><strong>append</strong><span class="classifier">ndarray</span></dt><dd><p>A copy of <em class="xref py py-obj">arr</em> with <em class="xref py py-obj">values</em> appended to <em class="xref py py-obj">axis</em>. Note that
<a class="reference internal" href="#numpy.append" title="numpy.append"><code class="xref py py-obj docutils literal notranslate"><span class="pre">append</span></code></a> does not occur in-place: a new array is allocated and
filled. If <em class="xref py py-obj">axis</em> is None, <em class="xref py py-obj">out</em> is a flattened array.</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.insert.html#numpy.insert" title="numpy.insert"><code class="xref py py-obj docutils literal notranslate"><span class="pre">insert</span></code></a></dt><dd><p>Insert elements into an array.</p>
</dd>
<dt><a class="reference internal" href="numpy.delete.html#numpy.delete" title="numpy.delete"><code class="xref py py-obj docutils literal notranslate"><span class="pre">delete</span></code></a></dt><dd><p>Delete elements from an array.</p>
</dd>
</dl>
</div>
<p class="rubric">Examples</p>
<div class="try_examples_outer_container docutils container" id="1b9b2b92-624f-49d7-8159-b8cbdd2e7c51">
<div class="try_examples_button_container"><button class="try_examples_button" onclick="window.tryExamplesShowIframe('1b9b2b92-624f-49d7-8159-b8cbdd2e7c51','7f9690c2-5fa2-4d9c-8a4f-b6a9e3395f44','5f155fd3-e1f4-489a-9044-e35c9e72ab6a','../../lite/tree/../notebooks/index.html?path=73a0b245_7b6b_427a_ac06_06d1a8e83ee7.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">np</span><span class="o">.</span><span class="n">append</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="p">[[</span><span class="mi">4</span><span class="p">,</span> <span class="mi">5</span><span class="p">,</span> <span class="mi">6</span><span class="p">],</span> <span class="p">[</span><span class="mi">7</span><span class="p">,</span> <span class="mi">8</span><span class="p">,</span> <span class="mi">9</span><span class="p">]])</span>
<span class="go">array([1, 2, 3, ..., 7, 8, 9])</span>
</pre></div>
</div>
<p>When <em class="xref py py-obj">axis</em> is specified, <em class="xref py py-obj">values</em> must have the correct shape.</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="n">np</span><span class="o">.</span><span class="n">append</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="p">[</span><span class="mi">4</span><span class="p">,</span> <span class="mi">5</span><span class="p">,</span> <span class="mi">6</span><span class="p">]],</span> <span class="p">[[</span><span class="mi">7</span><span class="p">,</span> <span class="mi">8</span><span class="p">,</span> <span class="mi">9</span><span class="p">]],</span> <span class="n">axis</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span>
<span class="go">array([[1, 2, 3],</span>
<span class="go"> [4, 5, 6],</span>
<span class="go"> [7, 8, 9]])</span>
</pre></div>
</div>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="n">np</span><span class="o">.</span><span class="n">append</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="p">[</span><span class="mi">4</span><span class="p">,</span> <span class="mi">5</span><span class="p">,</span> <span class="mi">6</span><span class="p">]],</span> <span class="p">[</span><span class="mi">7</span><span class="p">,</span> <span class="mi">8</span><span class="p">,</span> <span class="mi">9</span><span class="p">],</span> <span class="n">axis</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span>
<span class="gt">Traceback (most recent call last):</span>
<span class="w"> </span><span class="o">...</span>
<span class="gr">ValueError</span>: <span class="n">all the input arrays must have same number of dimensions, but</span>
<span class="x">the array at index 0 has 2 dimension(s) and the array at index 1 has 1</span>
<span class="x">dimension(s)</span>
</pre></div>
</div>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">>>> </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="n">dtype</span><span class="o">=</span><span class="n">np</span><span class="o">.</span><span class="n">int_</span><span class="p">)</span>
<span class="gp">>>> </span><span class="n">c</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">a</span><span class="p">,</span> <span class="p">[])</span>
<span class="gp">>>> </span><span class="n">c</span>
<span class="go">array([1., 2.])</span>
<span class="gp">>>> </span><span class="n">c</span><span class="o">.</span><span class="n">dtype</span>
<span class="go">float64</span>
</pre></div>
</div>
<p>Default dtype for empty ndarrays is <a class="reference internal" href="../arrays.scalars.html#numpy.float64" title="numpy.float64"><code class="xref py py-obj docutils literal notranslate"><span class="pre">float64</span></code></a> thus making the output of dtype
<a class="reference internal" href="../arrays.scalars.html#numpy.float64" title="numpy.float64"><code class="xref py py-obj docutils literal notranslate"><span class="pre">float64</span></code></a> when appended with dtype <a class="reference internal" href="../arrays.scalars.html#numpy.int64" title="numpy.int64"><code class="xref py py-obj docutils literal notranslate"><span class="pre">int64</span></code></a></p>
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