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<section id="module-apache_beam.dataframe.frame_base">
<span id="apache-beam-dataframe-frame-base-module"></span><h1>apache_beam.dataframe.frame_base module<a class="headerlink" href="#module-apache_beam.dataframe.frame_base" title="Link to this heading"></a></h1>
<dl class="py class">
<dt class="sig sig-object py" id="apache_beam.dataframe.frame_base.DeferredBase">
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">apache_beam.dataframe.frame_base.</span></span><span class="sig-name descname"><span class="pre">DeferredBase</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">expr</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/apache_beam/dataframe/frame_base.html#DeferredBase"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#apache_beam.dataframe.frame_base.DeferredBase" title="Link 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 v3.13)"><code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></a></p>
<dl class="py method">
<dt class="sig sig-object py" id="apache_beam.dataframe.frame_base.DeferredBase.wrap">
<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">wrap</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">expr</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">split_tuples</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/apache_beam/dataframe/frame_base.html#DeferredBase.wrap"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#apache_beam.dataframe.frame_base.DeferredBase.wrap" title="Link to this definition"></a></dt>
<dd></dd></dl>
</dd></dl>
<dl class="py class">
<dt class="sig sig-object py" id="apache_beam.dataframe.frame_base.UnusableUnpickledDeferredBase">
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">apache_beam.dataframe.frame_base.</span></span><span class="sig-name descname"><span class="pre">UnusableUnpickledDeferredBase</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/apache_beam/dataframe/frame_base.html#UnusableUnpickledDeferredBase"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#apache_beam.dataframe.frame_base.UnusableUnpickledDeferredBase" title="Link 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 v3.13)"><code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></a></p>
<p>Placeholder object used to break the transitive pickling chain in case a
DeferredBase accidentially gets pickled (e.g. as part of globals).</p>
<p>Trying to use this object after unpickling is a bug and will result in an
error.</p>
</dd></dl>
<dl class="py class">
<dt class="sig sig-object py" id="apache_beam.dataframe.frame_base.DeferredFrame">
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">apache_beam.dataframe.frame_base.</span></span><span class="sig-name descname"><span class="pre">DeferredFrame</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">expr</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/apache_beam/dataframe/frame_base.html#DeferredFrame"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#apache_beam.dataframe.frame_base.DeferredFrame" title="Link to this definition"></a></dt>
<dd><p>Bases: <a class="reference internal" href="#apache_beam.dataframe.frame_base.DeferredBase" title="apache_beam.dataframe.frame_base.DeferredBase"><code class="xref py py-class docutils literal notranslate"><span class="pre">DeferredBase</span></code></a></p>
</dd></dl>
<dl class="py function">
<dt class="sig sig-object py" id="apache_beam.dataframe.frame_base.name_and_func">
<span class="sig-prename descclassname"><span class="pre">apache_beam.dataframe.frame_base.</span></span><span class="sig-name descname"><span class="pre">name_and_func</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">method</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/collections.abc.html#collections.abc.Callable" title="(in Python v3.13)"><span class="pre">Callable</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/collections.abc.html#collections.abc.Callable" title="(in Python v3.13)"><span class="pre">Callable</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="_modules/apache_beam/dataframe/frame_base.html#name_and_func"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#apache_beam.dataframe.frame_base.name_and_func" title="Link to this definition"></a></dt>
<dd><p>For the given method name or method, return the method name and the method
itself.</p>
<p>For internal use only. No backwards compatibility guarantees.</p>
</dd></dl>
<dl class="py function">
<dt class="sig sig-object py" id="apache_beam.dataframe.frame_base.wont_implement_method">
<span class="sig-prename descclassname"><span class="pre">apache_beam.dataframe.frame_base.</span></span><span class="sig-name descname"><span class="pre">wont_implement_method</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">base_type</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">name</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reason</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">explanation</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 internal" href="_modules/apache_beam/dataframe/frame_base.html#wont_implement_method"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#apache_beam.dataframe.frame_base.wont_implement_method" title="Link to this definition"></a></dt>
<dd><p>Generate a stub method that raises WontImplementError.</p>
<p>Note either reason or explanation must be specified. If both are specified,
explanation is ignored.</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters<span class="colon">:</span></dt>
<dd class="field-odd"><ul class="simple">
<li><p><strong>base_type</strong> – The pandas type of the method that this is trying to replicate.</p></li>
<li><p><strong>name</strong> – The name of the method that this is aiming to replicate.</p></li>
<li><p><strong>reason</strong> – If specified, use data from the corresponding entry in
<code class="docutils literal notranslate"><span class="pre">_WONT_IMPLEMENT_REASONS</span></code> to generate a helpful exception message
and docstring for the method.</p></li>
<li><p><strong>explanation</strong> – If specified, use this string as an explanation for why
this operation is not supported when generating an exception message
and docstring.</p></li>
</ul>
</dd>
</dl>
</dd></dl>
<dl class="py function">
<dt class="sig sig-object py" id="apache_beam.dataframe.frame_base.not_implemented_method">
<span class="sig-prename descclassname"><span class="pre">apache_beam.dataframe.frame_base.</span></span><span class="sig-name descname"><span class="pre">not_implemented_method</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">op</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">issue</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'20318'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">base_type</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 internal" href="_modules/apache_beam/dataframe/frame_base.html#not_implemented_method"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#apache_beam.dataframe.frame_base.not_implemented_method" title="Link to this definition"></a></dt>
<dd><p>Generate a stub method for <code class="docutils literal notranslate"><span class="pre">op</span></code> that simply raises a NotImplementedError.</p>
<p>For internal use only. No backwards compatibility guarantees.</p>
</dd></dl>
<dl class="py function">
<dt class="sig sig-object py" id="apache_beam.dataframe.frame_base.maybe_inplace">
<span class="sig-prename descclassname"><span class="pre">apache_beam.dataframe.frame_base.</span></span><span class="sig-name descname"><span class="pre">maybe_inplace</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">func</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/apache_beam/dataframe/frame_base.html#maybe_inplace"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#apache_beam.dataframe.frame_base.maybe_inplace" title="Link to this definition"></a></dt>
<dd><p>Handles the inplace= kwarg available in many pandas operations.</p>
<p>This decorator produces a new function handles the inplace kwarg. When
<cite>inplace=False</cite>, the new function simply yields the result of <cite>func</cite>
directly.</p>
<p>When <cite>inplace=True</cite>, the output of <cite>func</cite> is used to replace this instances
expression. The result is that any operations applied to this instance after
the inplace operation will refernce the updated expression.</p>
<p>For internal use only. No backwards compatibility guarantees.</p>
</dd></dl>
<dl class="py function">
<dt class="sig sig-object py" id="apache_beam.dataframe.frame_base.args_to_kwargs">
<span class="sig-prename descclassname"><span class="pre">apache_beam.dataframe.frame_base.</span></span><span class="sig-name descname"><span class="pre">args_to_kwargs</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">base_type</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">removed_method</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">removed_args</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 internal" href="_modules/apache_beam/dataframe/frame_base.html#args_to_kwargs"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#apache_beam.dataframe.frame_base.args_to_kwargs" title="Link to this definition"></a></dt>
<dd><p>Convert all args to kwargs before calling the decorated function.</p>
<p>When applied to a function, this decorator creates a new function
that always calls the wrapped function with <em>only</em> keyword arguments. It
inspects the argspec for the identically-named method on <cite>base_type</cite> to
determine the name to use for arguments that are converted to keyword
arguments.</p>
<p>For internal use only. No backwards compatibility guarantees.</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters<span class="colon">:</span></dt>
<dd class="field-odd"><ul class="simple">
<li><p><strong>base_type</strong> – The pandas type of the method that this is trying to replicate.</p></li>
<li><p><strong>removed_method</strong> – Whether this method has been removed in the running
Pandas version.</p></li>
<li><p><strong>removed_args</strong> – If not empty, which arguments have been dropped in the
running Pandas version.</p></li>
</ul>
</dd>
</dl>
</dd></dl>
<dl class="py function">
<dt class="sig sig-object py" id="apache_beam.dataframe.frame_base.with_docs_from">
<span class="sig-prename descclassname"><span class="pre">apache_beam.dataframe.frame_base.</span></span><span class="sig-name descname"><span class="pre">with_docs_from</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">base_type</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">removed_method</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 internal" href="_modules/apache_beam/dataframe/frame_base.html#with_docs_from"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#apache_beam.dataframe.frame_base.with_docs_from" title="Link to this definition"></a></dt>
<dd><p>Decorator that updates the documentation from the wrapped function to
duplicate the documentation from the identically-named method in <cite>base_type</cite>.</p>
<p>Any docstring on the original function will be included in the new function
under a “Differences from pandas” heading.</p>
<p>removed_method used in cases where a method has been removed in a later
version of Pandas.</p>
</dd></dl>
<dl class="py function">
<dt class="sig sig-object py" id="apache_beam.dataframe.frame_base.populate_defaults">
<span class="sig-prename descclassname"><span class="pre">apache_beam.dataframe.frame_base.</span></span><span class="sig-name descname"><span class="pre">populate_defaults</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">base_type</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">removed_method</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">removed_args</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 internal" href="_modules/apache_beam/dataframe/frame_base.html#populate_defaults"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#apache_beam.dataframe.frame_base.populate_defaults" title="Link to this definition"></a></dt>
<dd><p>Populate default values for keyword arguments in decorated function.</p>
<p>When applied to a function, this decorator creates a new function
with default values for all keyword arguments, based on the default values
for the identically-named method on <cite>base_type</cite>.</p>
<p>For internal use only. No backwards compatibility guarantees.</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters<span class="colon">:</span></dt>
<dd class="field-odd"><ul class="simple">
<li><p><strong>base_type</strong> – The pandas type of the method that this is trying to replicate.</p></li>
<li><p><strong>removed_method</strong> – Whether this method has been removed in the running
Pandas version.</p></li>
<li><p><strong>removed_args</strong> – If not empty, which arguments have been dropped in the
running Pandas version.</p></li>
</ul>
</dd>
</dl>
</dd></dl>
<dl class="py exception">
<dt class="sig sig-object py" id="apache_beam.dataframe.frame_base.WontImplementError">
<em class="property"><span class="pre">exception</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">apache_beam.dataframe.frame_base.</span></span><span class="sig-name descname"><span class="pre">WontImplementError</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">msg</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reason</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 internal" href="_modules/apache_beam/dataframe/frame_base.html#WontImplementError"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#apache_beam.dataframe.frame_base.WontImplementError" title="Link to this definition"></a></dt>
<dd><p>Bases: <a class="reference external" href="https://docs.python.org/3/library/exceptions.html#NotImplementedError" title="(in Python v3.13)"><code class="xref py py-class docutils literal notranslate"><span class="pre">NotImplementedError</span></code></a></p>
<p>An subclass of NotImplementedError to raise indicating that implementing
the given method is not planned.</p>
<p>Raising this error will also prevent this doctests from being validated
when run with the beam dataframe validation doctest runner.</p>
</dd></dl>
</section>
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