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<section id="numpy-broadcast-arrays">
<h1>numpy.broadcast_arrays<a class="headerlink" href="#numpy-broadcast-arrays" title="Link to this heading">#</a></h1>
<dl class="py function">
<dt class="sig sig-object py" id="numpy.broadcast_arrays">
<span class="sig-prename descclassname"><span class="pre">numpy.</span></span><span class="sig-name descname"><span class="pre">broadcast_arrays</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">subok</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/numpy/numpy/blob/main/numpy/lib/_stride_tricks_impl.py#L481-L549"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#numpy.broadcast_arrays" title="Link to this definition">#</a></dt>
<dd><p>Broadcast any number of arrays against each other.</p>
<dl class="field-list">
<dt class="field-odd">Parameters<span class="colon">:</span></dt>
<dd class="field-odd"><dl class="simple">
<dt><strong>*args</strong><span class="classifier">array_likes</span></dt><dd><p>The arrays to broadcast.</p>
</dd>
<dt><strong>subok</strong><span class="classifier">bool, optional</span></dt><dd><p>If True, then sub-classes will be passed-through, otherwise
the returned arrays will be forced to be a base-class array (default).</p>
</dd>
</dl>
</dd>
<dt class="field-even">Returns<span class="colon">:</span></dt>
<dd class="field-even"><dl>
<dt><strong>broadcasted</strong><span class="classifier">tuple of arrays</span></dt><dd><p>These arrays are views on the original arrays. They are typically
not contiguous. Furthermore, more than one element of a
broadcasted array may refer to a single memory location. If you need
to write to the arrays, make copies first. While you can set the
<code class="docutils literal notranslate"><span class="pre">writable</span></code> flag True, writing to a single output value may end up
changing more than one location in the output array.</p>
<div class="deprecated">
<p><span class="versionmodified deprecated">Deprecated since version 1.17: </span>The output is currently marked so that if written to, a deprecation
warning will be emitted. A future version will set the
<code class="docutils literal notranslate"><span class="pre">writable</span></code> flag False so writing to it will raise an error.</p>
</div>
</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.broadcast.html#numpy.broadcast" title="numpy.broadcast"><code class="xref py py-obj docutils literal notranslate"><span class="pre">broadcast</span></code></a></dt><dd></dd>
<dt><a class="reference internal" href="numpy.broadcast_to.html#numpy.broadcast_to" title="numpy.broadcast_to"><code class="xref py py-obj docutils literal notranslate"><span class="pre">broadcast_to</span></code></a></dt><dd></dd>
<dt><a class="reference internal" href="numpy.broadcast_shapes.html#numpy.broadcast_shapes" title="numpy.broadcast_shapes"><code class="xref py py-obj docutils literal notranslate"><span class="pre">broadcast_shapes</span></code></a></dt><dd></dd>
</dl>
</div>
<p class="rubric">Examples</p>
<div class="try_examples_outer_container docutils container" id="ed9a07b3-382a-4c44-9066-17cfc1bc5b13">
<div class="try_examples_button_container"><button class="try_examples_button" onclick="window.tryExamplesShowIframe('ed9a07b3-382a-4c44-9066-17cfc1bc5b13','8ae1330b-7d53-401c-bd6b-e429e7146f08','f9c7d3a7-e345-44c3-8f2d-f6cbd429c7df','../../lite/tree/../notebooks/index.html?path=a04ce119_ba4e_4a71_9e02_d561483383fb.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">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">>>> </span><span class="n">y</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">4</span><span class="p">],[</span><span class="mi">5</span><span class="p">]])</span>
<span class="gp">>>> </span><span class="n">np</span><span class="o">.</span><span class="n">broadcast_arrays</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">y</span><span class="p">)</span>
<span class="go">(array([[1, 2, 3],</span>
<span class="go"> [1, 2, 3]]),</span>
<span class="go"> array([[4, 4, 4],</span>
<span class="go"> [5, 5, 5]]))</span>
</pre></div>
</div>
<p>Here is a useful idiom for getting contiguous copies instead of
non-contiguous views.</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="p">[</span><span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">a</span><span class="p">)</span> <span class="k">for</span> <span class="n">a</span> <span class="ow">in</span> <span class="n">np</span><span class="o">.</span><span class="n">broadcast_arrays</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">y</span><span class="p">)]</span>
<span class="go">[array([[1, 2, 3],</span>
<span class="go"> [1, 2, 3]]),</span>
<span class="go"> array([[4, 4, 4],</span>
<span class="go"> [5, 5, 5]])]</span>
</pre></div>
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