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   <section id="pyarrow-compute-register-scalar-function">
 <h1>pyarrow.compute.register_scalar_function<a class="headerlink" href="#pyarrow-compute-register-scalar-function" title="Permalink to this heading">#</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="pyarrow.compute.register_scalar_function">
 <span class="sig-prename descclassname"><span class="pre">pyarrow.compute.</span></span><span class="sig-name descname"><span class="pre">register_scalar_function</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">func</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">function_name</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">function_doc</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">in_types</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">out_type</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">func_registry</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="headerlink" href="#pyarrow.compute.register_scalar_function" title="Permalink to this definition">#</a></dt>
 <dd><p>Register a user-defined scalar function.</p>
 <p>This API is EXPERIMENTAL.</p>
 <p>A scalar function is a function that executes elementwise
 operations on arrays or scalars, i.e. a scalar function must
 be computed row-by-row with no state where each output row
 is computed only from its corresponding input row.
 In other words, all argument arrays have the same length,
 and the output array is of the same length as the arguments.
 Scalar functions are the only functions allowed in query engine
 expressions.</p>
 <dl class="field-list">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><dl>
 <dt><strong>func</strong><span class="classifier"><a class="reference external" href="https://docs.python.org/3/library/functions.html#callable" title="(in Python v3.12)"><code class="docutils literal notranslate"><span class="pre">callable()</span></code></a></span></dt><dd><p>A callable implementing the user-defined function.
 The first argument is the context argument of type
 UdfContext.
 Then, it must take arguments equal to the number of
 in_types defined. It must return an Array or Scalar
 matching the out_type. It must return a Scalar if
 all arguments are scalar, else it must return an Array.</p>
 <p>To define a varargs function, pass a callable that takes
 <a href="#id1"><span class="problematic" id="id2">*</span></a>args. The last in_type will be the type of all varargs
 arguments.</p>
 </dd>
 <dt><strong>function_name</strong><span class="classifier"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><code class="docutils literal notranslate"><span class="pre">str</span></code></a></span></dt><dd><p>Name of the function. There should only be one function
 registered with this name in the function registry.</p>
 </dd>
 <dt><strong>function_doc</strong><span class="classifier"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.12)"><code class="docutils literal notranslate"><span class="pre">dict</span></code></a></span></dt><dd><p>A dictionary object with keys “summary” (str),
 and “description” (str).</p>
 </dd>
 <dt><strong>in_types</strong><span class="classifier"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Dict</span></code>[<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><code class="docutils literal notranslate"><span class="pre">str</span></code></a>, <code class="xref py py-obj docutils literal notranslate"><span class="pre">DataType</span></code>]</span></dt><dd><p>A dictionary mapping function argument names to
 their respective DataType.
 The argument names will be used to generate
 documentation for the function. The number of
 arguments specified here determines the function
 arity.</p>
 </dd>
 <dt><strong>out_type</strong><span class="classifier"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataType</span></code></span></dt><dd><p>Output type of the function.</p>
 </dd>
 <dt><strong>func_registry</strong><span class="classifier"><code class="xref py py-obj docutils literal notranslate"><span class="pre">FunctionRegistry</span></code></span></dt><dd><p>Optional function registry to use instead of the default global one.</p>
 </dd>
 </dl>
 </dd>
 </dl>
 <p class="rubric">Examples</p>
 <div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="kn">import</span> <span class="nn">pyarrow</span> <span class="k">as</span> <span class="nn">pa</span>
 <span class="gp">&gt;&gt;&gt; </span><span class="kn">import</span> <span class="nn">pyarrow.compute</span> <span class="k">as</span> <span class="nn">pc</span>
 <span class="gp">&gt;&gt;&gt;</span>
 <span class="gp">&gt;&gt;&gt; </span><span class="n">func_doc</span> <span class="o">=</span> <span class="p">{}</span>
 <span class="gp">&gt;&gt;&gt; </span><span class="n">func_doc</span><span class="p">[</span><span class="s2">&quot;summary&quot;</span><span class="p">]</span> <span class="o">=</span> <span class="s2">&quot;simple udf&quot;</span>
 <span class="gp">&gt;&gt;&gt; </span><span class="n">func_doc</span><span class="p">[</span><span class="s2">&quot;description&quot;</span><span class="p">]</span> <span class="o">=</span> <span class="s2">&quot;add a constant to a scalar&quot;</span>
 <span class="gp">&gt;&gt;&gt;</span>
 <span class="gp">&gt;&gt;&gt; </span><span class="k">def</span> <span class="nf">add_constant</span><span class="p">(</span><span class="n">ctx</span><span class="p">,</span> <span class="n">array</span><span class="p">):</span>
 <span class="gp">... </span>    <span class="k">return</span> <span class="n">pc</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">array</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="n">memory_pool</span><span class="o">=</span><span class="n">ctx</span><span class="o">.</span><span class="n">memory_pool</span><span class="p">)</span>
 <span class="gp">&gt;&gt;&gt;</span>
 <span class="gp">&gt;&gt;&gt; </span><span class="n">func_name</span> <span class="o">=</span> <span class="s2">&quot;py_add_func&quot;</span>
 <span class="gp">&gt;&gt;&gt; </span><span class="n">in_types</span> <span class="o">=</span> <span class="p">{</span><span class="s2">&quot;array&quot;</span><span class="p">:</span> <span class="n">pa</span><span class="o">.</span><span class="n">int64</span><span class="p">()}</span>
 <span class="gp">&gt;&gt;&gt; </span><span class="n">out_type</span> <span class="o">=</span> <span class="n">pa</span><span class="o">.</span><span class="n">int64</span><span class="p">()</span>
 <span class="gp">&gt;&gt;&gt; </span><span class="n">pc</span><span class="o">.</span><span class="n">register_scalar_function</span><span class="p">(</span><span class="n">add_constant</span><span class="p">,</span> <span class="n">func_name</span><span class="p">,</span> <span class="n">func_doc</span><span class="p">,</span>
 <span class="gp">... </span>                  <span class="n">in_types</span><span class="p">,</span> <span class="n">out_type</span><span class="p">)</span>
 <span class="gp">&gt;&gt;&gt;</span>
 <span class="gp">&gt;&gt;&gt; </span><span class="n">func</span> <span class="o">=</span> <span class="n">pc</span><span class="o">.</span><span class="n">get_function</span><span class="p">(</span><span class="n">func_name</span><span class="p">)</span>
 <span class="gp">&gt;&gt;&gt; </span><span class="n">func</span><span class="o">.</span><span class="n">name</span>
 <span class="go">&#39;py_add_func&#39;</span>
 <span class="gp">&gt;&gt;&gt; </span><span class="n">answer</span> <span class="o">=</span> <span class="n">pc</span><span class="o">.</span><span class="n">call_function</span><span class="p">(</span><span class="n">func_name</span><span class="p">,</span> <span class="p">[</span><span class="n">pa</span><span class="o">.</span><span class="n">array</span><span class="p">([</span><span class="mi">20</span><span class="p">])])</span>
 <span class="gp">&gt;&gt;&gt; </span><span class="n">answer</span>
 <span class="go">&lt;pyarrow.lib.Int64Array object at ...&gt;</span>
 <span class="go">[</span>
 <span class="go">  21</span>
 <span class="go">]</span>
 </pre></div>
 </div>
 </dd></dl>

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