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<div class="section" id="module-apache_beam.dataframe.expressions">
<span id="apache-beam-dataframe-expressions-module"></span><h1>apache_beam.dataframe.expressions module<a class="headerlink" href="#module-apache_beam.dataframe.expressions" title="Permalink to this headline"></a></h1>
<dl class="class">
<dt id="apache_beam.dataframe.expressions.Session">
<em class="property">class </em><code class="descclassname">apache_beam.dataframe.expressions.</code><code class="descname">Session</code><span class="sig-paren">(</span><em>bindings=None</em><span class="sig-paren">)</span><a class="reference internal" href="_modules/apache_beam/dataframe/expressions.html#Session"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#apache_beam.dataframe.expressions.Session" title="Permalink to this definition"></a></dt>
<dd><p>Bases: <a class="reference external" href="https://docs.python.org/3/library/functions.html#object" title="(in Python v3.10)"><code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></a></p>
<p>A session represents a mapping of expressions to concrete values.</p>
<p>The bindings typically include required placeholders, but may be any
intermediate expression as well.</p>
<dl class="method">
<dt id="apache_beam.dataframe.expressions.Session.evaluate">
<code class="descname">evaluate</code><span class="sig-paren">(</span><em>expr</em><span class="sig-paren">)</span><a class="reference internal" href="_modules/apache_beam/dataframe/expressions.html#Session.evaluate"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#apache_beam.dataframe.expressions.Session.evaluate" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="method">
<dt id="apache_beam.dataframe.expressions.Session.lookup">
<code class="descname">lookup</code><span class="sig-paren">(</span><em>expr</em><span class="sig-paren">)</span><a class="reference internal" href="_modules/apache_beam/dataframe/expressions.html#Session.lookup"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#apache_beam.dataframe.expressions.Session.lookup" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
</dd></dl>
<dl class="class">
<dt id="apache_beam.dataframe.expressions.PartitioningSession">
<em class="property">class </em><code class="descclassname">apache_beam.dataframe.expressions.</code><code class="descname">PartitioningSession</code><span class="sig-paren">(</span><em>bindings=None</em><span class="sig-paren">)</span><a class="reference internal" href="_modules/apache_beam/dataframe/expressions.html#PartitioningSession"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#apache_beam.dataframe.expressions.PartitioningSession" title="Permalink to this definition"></a></dt>
<dd><p>Bases: <a class="reference internal" href="#apache_beam.dataframe.expressions.Session" title="apache_beam.dataframe.expressions.Session"><code class="xref py py-class docutils literal notranslate"><span class="pre">apache_beam.dataframe.expressions.Session</span></code></a></p>
<p>An extension of Session that enforces actual partitioning of inputs.</p>
<p>Each expression is evaluated multiple times for various supported
partitionings determined by its <cite>requires_partition_by</cite> specification. For
each tested partitioning, the input is partitioned and the expression is
evaluated on each partition separately, as if this were actually executed in
a parallel manner.</p>
<p>For each input partitioning, the results are verified to be partitioned
appropriately according to the expression’s <cite>preserves_partition_by</cite>
specification.</p>
<p>For testing only.</p>
<dl class="method">
<dt id="apache_beam.dataframe.expressions.PartitioningSession.evaluate">
<code class="descname">evaluate</code><span class="sig-paren">(</span><em>expr</em><span class="sig-paren">)</span><a class="reference internal" href="_modules/apache_beam/dataframe/expressions.html#PartitioningSession.evaluate"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#apache_beam.dataframe.expressions.PartitioningSession.evaluate" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
</dd></dl>
<dl class="function">
<dt id="apache_beam.dataframe.expressions.output_partitioning">
<code class="descclassname">apache_beam.dataframe.expressions.</code><code class="descname">output_partitioning</code><span class="sig-paren">(</span><em>expr</em>, <em>input_partitioning</em><span class="sig-paren">)</span><a class="reference internal" href="_modules/apache_beam/dataframe/expressions.html#output_partitioning"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#apache_beam.dataframe.expressions.output_partitioning" title="Permalink to this definition"></a></dt>
<dd><p>Return the expected output partitioning for <cite>expr</cite> when it’s input is
partitioned by <cite>input_partitioning</cite>.</p>
<p>For internal use only; No backward compatibility guarantees</p>
</dd></dl>
<dl class="class">
<dt id="apache_beam.dataframe.expressions.Expression">
<em class="property">class </em><code class="descclassname">apache_beam.dataframe.expressions.</code><code class="descname">Expression</code><span class="sig-paren">(</span><em>name: str</em>, <em>proxy: T</em>, <em>_id: Optional[str] = None</em><span class="sig-paren">)</span><a class="reference internal" href="_modules/apache_beam/dataframe/expressions.html#Expression"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#apache_beam.dataframe.expressions.Expression" title="Permalink to this definition"></a></dt>
<dd><p>Bases: <a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Generic" title="(in Python v3.10)"><code class="xref py py-class docutils literal notranslate"><span class="pre">typing.Generic</span></code></a></p>
<p>An expression is an operation bound to a set of arguments.</p>
<p>An expression represents a deferred tree of operations, which can be
evaluated at a specific bindings of root expressions to values.</p>
<p>requires_partition_by indicates the upper bound of a set of partitionings that
are acceptable inputs to this expression. The expression should be able to
produce the correct result when given input(s) partitioned by its
requires_partition_by attribute, or by any partitoning that is _not_
a subpartitioning of it.</p>
<p>preserves_partition_by indicates the upper bound of a set of partitionings
that can be preserved by this expression. When the input(s) to this expression
are partitioned by preserves_partition_by, or by any partitioning that is
_not_ a subpartitioning of it, this expression should produce output(s)
partitioned by the same partitioning.</p>
<p>However, if the partitioning of an expression’s input is a subpartitioning of
the partitioning that it preserves, the output is presumed to have no
particular partitioning (i.e. Arbitrary()).</p>
<p>For example, let’s look at an “element-wise operation”, that has no
partitioning requirement, and preserves any partitioning given to it:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">requires_partition_by</span> <span class="o">=</span> <span class="n">Arbitrary</span><span class="p">()</span> <span class="o">-----------------------------+</span>
<span class="o">|</span>
<span class="o">+-----------+-------------+----------</span> <span class="o">...</span> <span class="o">----+---------|</span>
<span class="o">|</span> <span class="o">|</span> <span class="o">|</span> <span class="o">|</span> <span class="o">|</span>
<span class="n">Singleton</span><span class="p">()</span> <span class="o">&lt;</span> <span class="n">Index</span><span class="p">([</span><span class="n">i</span><span class="p">])</span> <span class="o">&lt;</span> <span class="n">Index</span><span class="p">([</span><span class="n">i</span><span class="p">,</span> <span class="n">j</span><span class="p">])</span> <span class="o">&lt;</span> <span class="o">...</span> <span class="o">&lt;</span> <span class="n">Index</span><span class="p">()</span> <span class="o">&lt;</span> <span class="n">Arbitrary</span><span class="p">()</span>
<span class="o">|</span> <span class="o">|</span> <span class="o">|</span> <span class="o">|</span> <span class="o">|</span>
<span class="o">+-----------+-------------+----------</span> <span class="o">...</span> <span class="o">----+---------|</span>
<span class="o">|</span>
<span class="n">preserves_partition_by</span> <span class="o">=</span> <span class="n">Arbitrary</span><span class="p">()</span> <span class="o">----------------------------+</span>
</pre></div>
</div>
<p>As a more interesting example, consider this expression, which requires Index
partitioning, and preserves just Singleton partitioning:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">requires_partition_by</span> <span class="o">=</span> <span class="n">Index</span><span class="p">()</span> <span class="o">-----------------------+</span>
<span class="o">|</span>
<span class="o">+-----------+-------------+----------</span> <span class="o">...</span> <span class="o">----|</span>
<span class="o">|</span> <span class="o">|</span> <span class="o">|</span> <span class="o">|</span>
<span class="n">Singleton</span><span class="p">()</span> <span class="o">&lt;</span> <span class="n">Index</span><span class="p">([</span><span class="n">i</span><span class="p">])</span> <span class="o">&lt;</span> <span class="n">Index</span><span class="p">([</span><span class="n">i</span><span class="p">,</span> <span class="n">j</span><span class="p">])</span> <span class="o">&lt;</span> <span class="o">...</span> <span class="o">&lt;</span> <span class="n">Index</span><span class="p">()</span> <span class="o">&lt;</span> <span class="n">Arbitrary</span><span class="p">()</span>
<span class="o">|</span>
<span class="o">|</span>
<span class="n">preserves_partition_by</span> <span class="o">=</span> <span class="n">Singleton</span><span class="p">()</span>
</pre></div>
</div>
<p>Note that any non-Arbitrary partitioning is an acceptable input for this
expression. However, unless the inputs are Singleton-partitioned, the
expression makes no guarantees about the partitioning of the output.</p>
<dl class="method">
<dt id="apache_beam.dataframe.expressions.Expression.proxy">
<code class="descname">proxy</code><span class="sig-paren">(</span><span class="sig-paren">)</span> &#x2192; T<a class="reference internal" href="_modules/apache_beam/dataframe/expressions.html#Expression.proxy"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#apache_beam.dataframe.expressions.Expression.proxy" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="method">
<dt id="apache_beam.dataframe.expressions.Expression.placeholders">
<code class="descname">placeholders</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/apache_beam/dataframe/expressions.html#Expression.placeholders"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#apache_beam.dataframe.expressions.Expression.placeholders" title="Permalink to this definition"></a></dt>
<dd><p>Returns all the placeholders that self depends on.</p>
</dd></dl>
<dl class="method">
<dt id="apache_beam.dataframe.expressions.Expression.evaluate_at">
<code class="descname">evaluate_at</code><span class="sig-paren">(</span><em>session: apache_beam.dataframe.expressions.Session</em><span class="sig-paren">)</span> &#x2192; T<a class="reference internal" href="_modules/apache_beam/dataframe/expressions.html#Expression.evaluate_at"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#apache_beam.dataframe.expressions.Expression.evaluate_at" title="Permalink to this definition"></a></dt>
<dd><p>Returns the result of self with the bindings given in session.</p>
</dd></dl>
<dl class="method">
<dt id="apache_beam.dataframe.expressions.Expression.requires_partition_by">
<code class="descname">requires_partition_by</code><span class="sig-paren">(</span><span class="sig-paren">)</span> &#x2192; apache_beam.dataframe.partitionings.Partitioning<a class="reference internal" href="_modules/apache_beam/dataframe/expressions.html#Expression.requires_partition_by"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#apache_beam.dataframe.expressions.Expression.requires_partition_by" title="Permalink to this definition"></a></dt>
<dd><p>Returns the partitioning, if any, require to evaluate this expression.</p>
<p>Returns partitioning.Arbitrary() to require no partitioning is required.</p>
</dd></dl>
<dl class="method">
<dt id="apache_beam.dataframe.expressions.Expression.preserves_partition_by">
<code class="descname">preserves_partition_by</code><span class="sig-paren">(</span><span class="sig-paren">)</span> &#x2192; apache_beam.dataframe.partitionings.Partitioning<a class="reference internal" href="_modules/apache_beam/dataframe/expressions.html#Expression.preserves_partition_by"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#apache_beam.dataframe.expressions.Expression.preserves_partition_by" title="Permalink to this definition"></a></dt>
<dd><p>Returns the partitioning, if any, preserved by this expression.</p>
<p>This gives an upper bound on the partitioning of its ouput. The actual
partitioning of the output may be less strict (e.g. if the input was
less partitioned).</p>
</dd></dl>
</dd></dl>
<dl class="class">
<dt id="apache_beam.dataframe.expressions.PlaceholderExpression">
<em class="property">class </em><code class="descclassname">apache_beam.dataframe.expressions.</code><code class="descname">PlaceholderExpression</code><span class="sig-paren">(</span><em>proxy</em>, <em>reference=None</em><span class="sig-paren">)</span><a class="reference internal" href="_modules/apache_beam/dataframe/expressions.html#PlaceholderExpression"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#apache_beam.dataframe.expressions.PlaceholderExpression" title="Permalink to this definition"></a></dt>
<dd><p>Bases: <a class="reference internal" href="#apache_beam.dataframe.expressions.Expression" title="apache_beam.dataframe.expressions.Expression"><code class="xref py py-class docutils literal notranslate"><span class="pre">apache_beam.dataframe.expressions.Expression</span></code></a></p>
<p>An expression whose value must be explicitly bound in the session.</p>
<p>Initialize a placeholder expression.</p>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><strong>proxy</strong> – A proxy object with the type expected to be bound to this
expression. Used for type checking at pipeline construction time.</td>
</tr>
</tbody>
</table>
<dl class="method">
<dt id="apache_beam.dataframe.expressions.PlaceholderExpression.placeholders">
<code class="descname">placeholders</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/apache_beam/dataframe/expressions.html#PlaceholderExpression.placeholders"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#apache_beam.dataframe.expressions.PlaceholderExpression.placeholders" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="method">
<dt id="apache_beam.dataframe.expressions.PlaceholderExpression.args">
<code class="descname">args</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/apache_beam/dataframe/expressions.html#PlaceholderExpression.args"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#apache_beam.dataframe.expressions.PlaceholderExpression.args" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="method">
<dt id="apache_beam.dataframe.expressions.PlaceholderExpression.evaluate_at">
<code class="descname">evaluate_at</code><span class="sig-paren">(</span><em>session</em><span class="sig-paren">)</span><a class="reference internal" href="_modules/apache_beam/dataframe/expressions.html#PlaceholderExpression.evaluate_at"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#apache_beam.dataframe.expressions.PlaceholderExpression.evaluate_at" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="method">
<dt id="apache_beam.dataframe.expressions.PlaceholderExpression.requires_partition_by">
<code class="descname">requires_partition_by</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/apache_beam/dataframe/expressions.html#PlaceholderExpression.requires_partition_by"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#apache_beam.dataframe.expressions.PlaceholderExpression.requires_partition_by" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="method">
<dt id="apache_beam.dataframe.expressions.PlaceholderExpression.preserves_partition_by">
<code class="descname">preserves_partition_by</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/apache_beam/dataframe/expressions.html#PlaceholderExpression.preserves_partition_by"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#apache_beam.dataframe.expressions.PlaceholderExpression.preserves_partition_by" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
</dd></dl>
<dl class="class">
<dt id="apache_beam.dataframe.expressions.ConstantExpression">
<em class="property">class </em><code class="descclassname">apache_beam.dataframe.expressions.</code><code class="descname">ConstantExpression</code><span class="sig-paren">(</span><em>value</em>, <em>proxy=None</em><span class="sig-paren">)</span><a class="reference internal" href="_modules/apache_beam/dataframe/expressions.html#ConstantExpression"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#apache_beam.dataframe.expressions.ConstantExpression" title="Permalink to this definition"></a></dt>
<dd><p>Bases: <a class="reference internal" href="#apache_beam.dataframe.expressions.Expression" title="apache_beam.dataframe.expressions.Expression"><code class="xref py py-class docutils literal notranslate"><span class="pre">apache_beam.dataframe.expressions.Expression</span></code></a></p>
<p>An expression whose value is known at pipeline construction time.</p>
<p>Initialize a constant expression.</p>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first last simple">
<li><strong>value</strong> – The constant value to be produced by this expression.</li>
<li><strong>proxy</strong> – (Optional) a proxy object with same type as <cite>value</cite> to use for
rapid type checking at pipeline construction time. If not provided,
<cite>value</cite> will be used directly.</li>
</ul>
</td>
</tr>
</tbody>
</table>
<dl class="method">
<dt id="apache_beam.dataframe.expressions.ConstantExpression.placeholders">
<code class="descname">placeholders</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/apache_beam/dataframe/expressions.html#ConstantExpression.placeholders"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#apache_beam.dataframe.expressions.ConstantExpression.placeholders" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="method">
<dt id="apache_beam.dataframe.expressions.ConstantExpression.args">
<code class="descname">args</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/apache_beam/dataframe/expressions.html#ConstantExpression.args"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#apache_beam.dataframe.expressions.ConstantExpression.args" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="method">
<dt id="apache_beam.dataframe.expressions.ConstantExpression.evaluate_at">
<code class="descname">evaluate_at</code><span class="sig-paren">(</span><em>session</em><span class="sig-paren">)</span><a class="reference internal" href="_modules/apache_beam/dataframe/expressions.html#ConstantExpression.evaluate_at"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#apache_beam.dataframe.expressions.ConstantExpression.evaluate_at" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="method">
<dt id="apache_beam.dataframe.expressions.ConstantExpression.requires_partition_by">
<code class="descname">requires_partition_by</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/apache_beam/dataframe/expressions.html#ConstantExpression.requires_partition_by"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#apache_beam.dataframe.expressions.ConstantExpression.requires_partition_by" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="method">
<dt id="apache_beam.dataframe.expressions.ConstantExpression.preserves_partition_by">
<code class="descname">preserves_partition_by</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/apache_beam/dataframe/expressions.html#ConstantExpression.preserves_partition_by"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#apache_beam.dataframe.expressions.ConstantExpression.preserves_partition_by" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
</dd></dl>
<dl class="class">
<dt id="apache_beam.dataframe.expressions.ComputedExpression">
<em class="property">class </em><code class="descclassname">apache_beam.dataframe.expressions.</code><code class="descname">ComputedExpression</code><span class="sig-paren">(</span><em>name</em>, <em>func</em>, <em>args</em>, <em>proxy=None</em>, <em>_id=None</em>, <em>requires_partition_by=Index</em>, <em>preserves_partition_by=Singleton</em><span class="sig-paren">)</span><a class="reference internal" href="_modules/apache_beam/dataframe/expressions.html#ComputedExpression"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#apache_beam.dataframe.expressions.ComputedExpression" title="Permalink to this definition"></a></dt>
<dd><p>Bases: <a class="reference internal" href="#apache_beam.dataframe.expressions.Expression" title="apache_beam.dataframe.expressions.Expression"><code class="xref py py-class docutils literal notranslate"><span class="pre">apache_beam.dataframe.expressions.Expression</span></code></a></p>
<p>An expression whose value must be computed at pipeline execution time.</p>
<p>Initialize a computed expression.</p>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first last simple">
<li><strong>name</strong> – The name of this expression.</li>
<li><strong>func</strong> – The function that will be used to compute the value of this
expression. Should accept arguments of the types returned when
evaluating the <cite>args</cite> expressions.</li>
<li><strong>args</strong> – The list of expressions that will be used to produce inputs to
<cite>func</cite>.</li>
<li><strong>proxy</strong> – (Optional) a proxy object with same type as the objects that this
ComputedExpression will produce at execution time. If not provided, a
proxy will be generated using <cite>func</cite> and the proxies of <cite>args</cite>.</li>
<li><strong>_id</strong> – (Optional) a string to uniquely identify this expression.</li>
<li><strong>requires_partition_by</strong> – The required (common) partitioning of the args.</li>
<li><strong>preserves_partition_by</strong> – The level of partitioning preserved.</li>
</ul>
</td>
</tr>
</tbody>
</table>
<dl class="method">
<dt id="apache_beam.dataframe.expressions.ComputedExpression.placeholders">
<code class="descname">placeholders</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/apache_beam/dataframe/expressions.html#ComputedExpression.placeholders"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#apache_beam.dataframe.expressions.ComputedExpression.placeholders" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="method">
<dt id="apache_beam.dataframe.expressions.ComputedExpression.args">
<code class="descname">args</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/apache_beam/dataframe/expressions.html#ComputedExpression.args"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#apache_beam.dataframe.expressions.ComputedExpression.args" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="method">
<dt id="apache_beam.dataframe.expressions.ComputedExpression.evaluate_at">
<code class="descname">evaluate_at</code><span class="sig-paren">(</span><em>session</em><span class="sig-paren">)</span><a class="reference internal" href="_modules/apache_beam/dataframe/expressions.html#ComputedExpression.evaluate_at"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#apache_beam.dataframe.expressions.ComputedExpression.evaluate_at" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="method">
<dt id="apache_beam.dataframe.expressions.ComputedExpression.requires_partition_by">
<code class="descname">requires_partition_by</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/apache_beam/dataframe/expressions.html#ComputedExpression.requires_partition_by"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#apache_beam.dataframe.expressions.ComputedExpression.requires_partition_by" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="method">
<dt id="apache_beam.dataframe.expressions.ComputedExpression.preserves_partition_by">
<code class="descname">preserves_partition_by</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/apache_beam/dataframe/expressions.html#ComputedExpression.preserves_partition_by"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#apache_beam.dataframe.expressions.ComputedExpression.preserves_partition_by" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
</dd></dl>
<dl class="function">
<dt id="apache_beam.dataframe.expressions.elementwise_expression">
<code class="descclassname">apache_beam.dataframe.expressions.</code><code class="descname">elementwise_expression</code><span class="sig-paren">(</span><em>name</em>, <em>func</em>, <em>args</em><span class="sig-paren">)</span><a class="reference internal" href="_modules/apache_beam/dataframe/expressions.html#elementwise_expression"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#apache_beam.dataframe.expressions.elementwise_expression" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="function">
<dt id="apache_beam.dataframe.expressions.allow_non_parallel_operations">
<code class="descclassname">apache_beam.dataframe.expressions.</code><code class="descname">allow_non_parallel_operations</code><span class="sig-paren">(</span><em>allow=True</em><span class="sig-paren">)</span><a class="reference internal" href="_modules/apache_beam/dataframe/expressions.html#allow_non_parallel_operations"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#apache_beam.dataframe.expressions.allow_non_parallel_operations" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
<dl class="exception">
<dt id="apache_beam.dataframe.expressions.NonParallelOperation">
<em class="property">exception </em><code class="descclassname">apache_beam.dataframe.expressions.</code><code class="descname">NonParallelOperation</code><span class="sig-paren">(</span><em>msg</em><span class="sig-paren">)</span><a class="reference internal" href="_modules/apache_beam/dataframe/expressions.html#NonParallelOperation"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#apache_beam.dataframe.expressions.NonParallelOperation" title="Permalink to this definition"></a></dt>
<dd><p>Bases: <a class="reference external" href="https://docs.python.org/3/library/exceptions.html#Exception" title="(in Python v3.10)"><code class="xref py py-class docutils literal notranslate"><span class="pre">Exception</span></code></a></p>
</dd></dl>
</div>
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