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<section id="spapros-se-probesetselector-plot-explore-constraint">
<h1>spapros.se.ProbesetSelector.plot_explore_constraint<a class="headerlink" href="#spapros-se-probesetselector-plot-explore-constraint" title="Permalink to this heading"></a></h1>
<dl class="py method">
<dt class="sig sig-object py" id="spapros.se.ProbesetSelector.plot_explore_constraint">
<span class="sig-prename descclassname"><span class="pre">ProbesetSelector.</span></span><span class="sig-name descname"><span class="pre">plot_explore_constraint</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">selection_method</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'pca_selection'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">selection_params</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">background_key</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'highly_variable'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">x_axis_key</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'quantile_0.99'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">penalty_kernels</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">factors</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">upper</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lower</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#spapros.se.ProbesetSelector.plot_explore_constraint" title="Permalink to this definition"></a></dt>
<dd><p>Plot histogram of quantiles for selected genes for different penalty kernels.</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>selection_method</strong> (<em>str</em>) – <p>Selection method to explore. Available are:</p>
<blockquote>
<div><ul>
<li><p>”pca_selection”</p></li>
<li><p>”DE_selection”</p></li>
<li><p>”marker”</p></li>
</ul>
</div></blockquote>
</p></li>
<li><p><strong>selection_params</strong> (<em>Optional</em><em>[</em><em>dict</em><em>]</em>) – Hyperparameter for the respective gene selection.</p></li>
<li><p><strong>background_key</strong> (<em>str</em>) – Key of column in <code class="docutils literal notranslate"><span class="pre">adata.var</span></code> containing the values to be plottet as background.</p></li>
<li><p><strong>x_axis_key</strong> (<em>str</em>) – Key of column in <code class="docutils literal notranslate"><span class="pre">adata.var</span></code> containing the values to be plottet.</p></li>
<li><p><strong>penalty_kernels</strong> (<em>Optional</em><em>[</em><em>List</em><em>[</em><em>Callable</em><em>]</em><em>]</em>) – Any penalty kernel. If None, <a class="reference internal" href="../ut/spapros.ut.plateau_penalty_kernel.html#spapros.ut.plateau_penalty_kernel" title="spapros.ut.plateau_penalty_kernel"><code class="xref py py-func docutils literal notranslate"><span class="pre">plateau_penalty_kernel()</span></code></a> is used to create three gaussian
plateau penalty kernels with different variances. Only then, <code class="docutils literal notranslate"><span class="pre">factors,</span></code>, <code class="docutils literal notranslate"><span class="pre">lower</span></code> and <code class="docutils literal notranslate"><span class="pre">upper</span></code> are
used.</p></li>
<li><p><strong>factors</strong> (<em>Optional</em><em>[</em><em>List</em><em>[</em><em>float</em><em>]</em><em>]</em>) – Factors for the variance for creating a gaussian penalty kernel.</p></li>
<li><p><strong>lower</strong> (<em>float</em>) – Lower border above which the kernel is 1.</p></li>
<li><p><strong>upper</strong> (<em>float</em>) – Upper boder below which the kernel is 1.</p></li>
<li><p><strong>**kwargs</strong> – Further arguments for <code class="xref py py-func docutils literal notranslate"><span class="pre">explore_constraint()</span></code>.</p></li>
</ul>
</dd>
<dt class="field-even">Returns<span class="colon">:</span></dt>
<dd class="field-even"><p>Figure can be shown (default <cite>True</cite>) and stored to path (default <cite>None</cite>).
Change this with <cite>show</cite> and <cite>save</cite> in <code class="docutils literal notranslate"><span class="pre">kwargs</span></code>.</p>
</dd>
</dl>
</dd></dl>
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