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<section id="numpy-bitwise-right-shift">
<h1>numpy.bitwise_right_shift<a class="headerlink" href="#numpy-bitwise-right-shift" title="Link to this heading">#</a></h1>
<dl class="py data">
<dt class="sig sig-object py" id="numpy.bitwise_right_shift">
<span class="sig-prename descclassname"><span class="pre">numpy.</span></span><span class="sig-name descname"><span class="pre">bitwise_right_shift</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">x2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">/</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">out=None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">where=True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">casting='same_kind'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">order='K'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dtype=None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">subok=True</span></span></em><span class="optional">[</span>, <em class="sig-param"><span class="n"><span class="pre">signature</span></span></em><span class="optional">]</span><span class="sig-paren">)</span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre"><ufunc</span> <span class="pre">'right_shift'></span></em><a class="headerlink" href="#numpy.bitwise_right_shift" title="Link to this definition">#</a></dt>
<dd><p>Shift the bits of an integer to the right.</p>
<p>Bits are shifted to the right <em class="xref py py-obj">x2</em>. Because the internal
representation of numbers is in binary format, this operation is
equivalent to dividing <em class="xref py py-obj">x1</em> by <code class="docutils literal notranslate"><span class="pre">2**x2</span></code>.</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>x1</strong><span class="classifier">array_like, int</span></dt><dd><p>Input values.</p>
</dd>
<dt><strong>x2</strong><span class="classifier">array_like, int</span></dt><dd><p>Number of bits to remove at the right of <em class="xref py py-obj">x1</em>.
If <code class="docutils literal notranslate"><span class="pre">x1.shape</span> <span class="pre">!=</span> <span class="pre">x2.shape</span></code>, they must be broadcastable to a common
shape (which becomes the shape of the output).</p>
</dd>
<dt><strong>out</strong><span class="classifier">ndarray, None, or tuple of ndarray and None, optional</span></dt><dd><p>A location into which the result is stored. If provided, it must have
a shape that the inputs broadcast to. If not provided or None,
a freshly-allocated array is returned. A tuple (possible only as a
keyword argument) must have length equal to the number of outputs.</p>
</dd>
<dt><strong>where</strong><span class="classifier">array_like, optional</span></dt><dd><p>This condition is broadcast over the input. At locations where the
condition is True, the <em class="xref py py-obj">out</em> array will be set to the ufunc result.
Elsewhere, the <em class="xref py py-obj">out</em> array will retain its original value.
Note that if an uninitialized <em class="xref py py-obj">out</em> array is created via the default
<code class="docutils literal notranslate"><span class="pre">out=None</span></code>, locations within it where the condition is False will
remain uninitialized.</p>
</dd>
<dt><strong>**kwargs</strong></dt><dd><p>For other keyword-only arguments, see the
<a class="reference internal" href="../ufuncs.html#ufuncs-kwargs"><span class="std std-ref">ufunc docs</span></a>.</p>
</dd>
</dl>
</dd>
<dt class="field-even">Returns<span class="colon">:</span></dt>
<dd class="field-even"><dl class="simple">
<dt><strong>out</strong><span class="classifier">ndarray, int</span></dt><dd><p>Return <em class="xref py py-obj">x1</em> with bits shifted <em class="xref py py-obj">x2</em> times to the right.
This is a scalar if both <em class="xref py py-obj">x1</em> and <em class="xref py py-obj">x2</em> are scalars.</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.left_shift.html#numpy.left_shift" title="numpy.left_shift"><code class="xref py py-obj docutils literal notranslate"><span class="pre">left_shift</span></code></a></dt><dd><p>Shift the bits of an integer to the left.</p>
</dd>
<dt><a class="reference internal" href="numpy.binary_repr.html#numpy.binary_repr" title="numpy.binary_repr"><code class="xref py py-obj docutils literal notranslate"><span class="pre">binary_repr</span></code></a></dt><dd><p>Return the binary representation of the input number as a string.</p>
</dd>
</dl>
</div>
<p class="rubric">Examples</p>
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<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">binary_repr</span><span class="p">(</span><span class="mi">10</span><span class="p">)</span>
<span class="go">'1010'</span>
<span class="gp">>>> </span><span class="n">np</span><span class="o">.</span><span class="n">right_shift</span><span class="p">(</span><span class="mi">10</span><span class="p">,</span> <span class="mi">1</span><span class="p">)</span>
<span class="go">5</span>
<span class="gp">>>> </span><span class="n">np</span><span class="o">.</span><span class="n">binary_repr</span><span class="p">(</span><span class="mi">5</span><span class="p">)</span>
<span class="go">'101'</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">right_shift</span><span class="p">(</span><span class="mi">10</span><span class="p">,</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="go">array([5, 2, 1])</span>
</pre></div>
</div>
<p>The <code class="docutils literal notranslate"><span class="pre">>></span></code> operator can be used as a shorthand for <code class="docutils literal notranslate"><span class="pre">np.right_shift</span></code> on
ndarrays.</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="n">x1</span> <span class="o">=</span> <span class="mi">10</span>
<span class="gp">>>> </span><span class="n">x2</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">x1</span> <span class="o">>></span> <span class="n">x2</span>
<span class="go">array([5, 2, 1])</span>
</pre></div>
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