<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd"> <html xmlns="http://www.w3.org/1999/xhtml"> <head> <meta http-equiv="Content-Type" content="text/html; charset=utf-8" /> <title>to_numpy_recarray — NetworkX 1.8.1 documentation</title> <link rel="stylesheet" href="../../_static/networkx.css" type="text/css" /> <link rel="stylesheet" href="../../_static/pygments.css" type="text/css" /> <script type="text/javascript"> var DOCUMENTATION_OPTIONS = { URL_ROOT: '../../', VERSION: '1.8.1', COLLAPSE_INDEX: false, FILE_SUFFIX: '.html', HAS_SOURCE: false }; </script> <script type="text/javascript" src="../../_static/jquery.js"></script> <script type="text/javascript" src="../../_static/underscore.js"></script> <script type="text/javascript" src="../../_static/doctools.js"></script> <link rel="search" type="application/opensearchdescription+xml" title="Search within NetworkX 1.8.1 documentation" href="../../_static/opensearch.xml"/> <link rel="top" title="NetworkX 1.8.1 documentation" href="../../index.html" /> <link rel="up" title="Converting to and from other data formats" href="../convert.html" /> <link rel="next" title="from_numpy_matrix" href="networkx.convert.from_numpy_matrix.html" /> <link rel="prev" title="to_numpy_matrix" href="networkx.convert.to_numpy_matrix.html" /> </head> <body> <div style="color: black;background-color: white; font-size: 3.2em; text-align: left; padding: 15px 10px 10px 15px"> NetworkX </div> <div class="related"> <h3>Navigation</h3> <ul> <li class="right" style="margin-right: 10px"> <a href="../../genindex.html" title="General Index" accesskey="I">index</a></li> <li class="right" > <a href="../../py-modindex.html" title="Python Module Index" >modules</a> |</li> <li class="right" > <a href="networkx.convert.from_numpy_matrix.html" title="from_numpy_matrix" accesskey="N">next</a> |</li> <li class="right" > <a href="networkx.convert.to_numpy_matrix.html" title="to_numpy_matrix" accesskey="P">previous</a> |</li> <li><a href="http://networkx.github.com/">NetworkX Home </a> | </li> <li><a href="http://networkx.github.com/documentation.html">Documentation </a>| </li> <li><a href="http://networkx.github.com/download.html">Download </a> | </li> <li><a href="http://github.com/networkx">Developer (Github)</a></li> <li><a href="../index.html" >Reference</a> »</li> <li><a href="../pdf_reference.html" >Reference</a> »</li> <li><a href="../convert.html" accesskey="U">Converting to and from other data formats</a> »</li> </ul> </div> <div class="sphinxsidebar"> <div class="sphinxsidebarwrapper"> <h4>Previous topic</h4> <p class="topless"><a href="networkx.convert.to_numpy_matrix.html" title="previous chapter">to_numpy_matrix</a></p> <h4>Next topic</h4> <p class="topless"><a href="networkx.convert.from_numpy_matrix.html" title="next chapter">from_numpy_matrix</a></p> <div id="searchbox" style="display: none"> <h3>Quick search</h3> <form class="search" action="../../search.html" method="get"> <input type="text" name="q" /> <input type="submit" value="Go" /> <input type="hidden" name="check_keywords" value="yes" /> <input type="hidden" name="area" value="default" /> </form> <p class="searchtip" style="font-size: 90%"> Enter search terms or a module, class or function name. </p> </div> <script type="text/javascript">$('#searchbox').show(0);</script> </div> </div> <div class="document"> <div class="documentwrapper"> <div class="bodywrapper"> <div class="body"> <div class="section" id="to-numpy-recarray"> <h1>to_numpy_recarray<a class="headerlink" href="#to-numpy-recarray" title="Permalink to this headline">¶</a></h1> <dl class="function"> <dt id="networkx.convert.to_numpy_recarray"> <tt class="descname">to_numpy_recarray</tt><big>(</big><em>G, nodelist=None, dtype=[('weight', <type 'float'>)], order=None</em><big>)</big><a class="reference internal" href="../../_modules/networkx/convert.html#to_numpy_recarray"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#networkx.convert.to_numpy_recarray" title="Permalink to this definition">¶</a></dt> <dd><p>Return the graph adjacency matrix as a NumPy recarray.</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>G</strong> : graph</p> <blockquote> <div><p>The NetworkX graph used to construct the NumPy matrix.</p> </div></blockquote> <p><strong>nodelist</strong> : list, optional</p> <blockquote> <div><p>The rows and columns are ordered according to the nodes in <span class="math">nodelist</span>. If <span class="math">nodelist</span> is None, then the ordering is produced by G.nodes().</p> </div></blockquote> <p><strong>dtype</strong> : NumPy data-type, optional</p> <blockquote> <div><p>A valid NumPy named dtype used to initialize the NumPy recarray. The data type names are assumed to be keys in the graph edge attribute dictionary.</p> </div></blockquote> <p><strong>order</strong> : {‘C’, ‘F’}, optional</p> <blockquote> <div><p>Whether to store multidimensional data in C- or Fortran-contiguous (row- or column-wise) order in memory. If None, then the NumPy default is used.</p> </div></blockquote> </td> </tr> <tr class="field-even field"><th class="field-name">Returns :</th><td class="field-body"><p class="first"><strong>M</strong> : NumPy recarray</p> <blockquote class="last"> <div><p>The graph with specified edge data as a Numpy recarray</p> </div></blockquote> </td> </tr> </tbody> </table> <p class="rubric">Notes</p> <p>When <span class="math">nodelist</span> does not contain every node in <span class="math">G</span>, the matrix is built from the subgraph of <span class="math">G</span> that is induced by the nodes in <span class="math">nodelist</span>.</p> <p class="rubric">Examples</p> <div class="highlight-python"><div class="highlight"><pre><span class="gp">>>> </span><span class="n">G</span> <span class="o">=</span> <span class="n">nx</span><span class="o">.</span><span class="n">Graph</span><span class="p">()</span> <span class="gp">>>> </span><span class="n">G</span><span class="o">.</span><span class="n">add_edge</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span><span class="mi">2</span><span class="p">,</span><span class="n">weight</span><span class="o">=</span><span class="mf">7.0</span><span class="p">,</span><span class="n">cost</span><span class="o">=</span><span class="mi">5</span><span class="p">)</span> <span class="gp">>>> </span><span class="n">A</span><span class="o">=</span><span class="n">nx</span><span class="o">.</span><span class="n">to_numpy_recarray</span><span class="p">(</span><span class="n">G</span><span class="p">,</span><span class="n">dtype</span><span class="o">=</span><span class="p">[(</span><span class="s">'weight'</span><span class="p">,</span><span class="nb">float</span><span class="p">),(</span><span class="s">'cost'</span><span class="p">,</span><span class="nb">int</span><span class="p">)])</span> <span class="gp">>>> </span><span class="k">print</span><span class="p">(</span><span class="n">A</span><span class="o">.</span><span class="n">weight</span><span class="p">)</span> <span class="go">[[ 0. 7.]</span> <span class="go"> [ 7. 0.]]</span> <span class="gp">>>> </span><span class="k">print</span><span class="p">(</span><span class="n">A</span><span class="o">.</span><span class="n">cost</span><span class="p">)</span> <span class="go">[[0 5]</span> <span class="go"> [5 0]]</span> </pre></div> </div> </dd></dl> </div> </div> </div> </div> <div class="clearer"></div> </div> <div class="related"> <h3>Navigation</h3> <ul> <li class="right" style="margin-right: 10px"> <a href="../../genindex.html" title="General Index" >index</a></li> <li class="right" > <a href="../../py-modindex.html" title="Python Module Index" >modules</a> |</li> <li class="right" > <a href="networkx.convert.from_numpy_matrix.html" title="from_numpy_matrix" >next</a> |</li> <li class="right" > <a href="networkx.convert.to_numpy_matrix.html" title="to_numpy_matrix" >previous</a> |</li> <li><a href="http://networkx.github.com/">NetworkX Home </a> | </li> <li><a href="http://networkx.github.com/documentation.html">Documentation </a>| </li> <li><a href="http://networkx.github.com/download.html">Download </a> | </li> <li><a href="http://github.com/networkx">Developer (Github)</a></li> <li><a href="../index.html" >Reference</a> »</li> <li><a href="../pdf_reference.html" >Reference</a> »</li> <li><a href="../convert.html" >Converting to and from other data formats</a> »</li> </ul> </div> <div class="footer"> © Copyright 2013, NetworkX Developers. 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