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<div class="section" id="numerical-edge-match">
<h1>numerical_edge_match<a class="headerlink" href="#numerical-edge-match" title="Permalink to this headline">¶</a></h1>
<dl class="function">
<dt id="networkx.algorithms.isomorphism.numerical_edge_match">
<tt class="descname">numerical_edge_match</tt><big>(</big><em>attr</em>, <em>default</em>, <em>rtol=1e-05</em>, <em>atol=1e-08</em><big>)</big><a class="headerlink" href="#networkx.algorithms.isomorphism.numerical_edge_match" title="Permalink to this definition">¶</a></dt>
<dd><p>Returns a comparison function for a numerical edge attribute.</p>
<p>The value(s) of the attr(s) must be numerical and sortable. If the
sorted list of values from G1 and G2 are the same within some
tolerance, then the constructed function returns True.</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"><p class="first"><strong>attr</strong> : string | list</p>
<blockquote>
<div><p>The numerical edge attribute to compare, or a list of numerical
edge attributes to compare.</p>
</div></blockquote>
<p><strong>default</strong> : value | list</p>
<blockquote>
<div><p>The default value for the numerical edge attribute, or a list of
default values for the numerical edge attributes.</p>
</div></blockquote>
<p><strong>rtol</strong> : float</p>
<blockquote>
<div><p>The relative error tolerance.</p>
</div></blockquote>
<p><strong>atol</strong> : float</p>
<blockquote>
<div><p>The absolute error tolerance.</p>
</div></blockquote>
</td>
</tr>
<tr class="field-even field"><th class="field-name">Returns :</th><td class="field-body"><p class="first"><strong>match</strong> : function</p>
<blockquote class="last">
<div><p>The customized, numerical <span class="math">edge_match</span> function.</p>
</div></blockquote>
</td>
</tr>
</tbody>
</table>
<p class="rubric">Examples</p>
<div class="highlight-python"><div class="highlight"><pre><span class="gp">>>> </span><span class="kn">import</span> <span class="nn">networkx.algorithms.isomorphism</span> <span class="kn">as</span> <span class="nn">iso</span>
<span class="gp">>>> </span><span class="n">nm</span> <span class="o">=</span> <span class="n">iso</span><span class="o">.</span><span class="n">numerical_edge_match</span><span class="p">(</span><span class="s">'weight'</span><span class="p">,</span> <span class="mf">1.0</span><span class="p">)</span>
<span class="gp">>>> </span><span class="n">nm</span> <span class="o">=</span> <span class="n">iso</span><span class="o">.</span><span class="n">numerical_edge_match</span><span class="p">([</span><span class="s">'weight'</span><span class="p">,</span> <span class="s">'linewidth'</span><span class="p">],</span> <span class="p">[</span><span class="o">.</span><span class="mi">25</span><span class="p">,</span> <span class="o">.</span><span class="mi">5</span><span class="p">])</span>
</pre></div>
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