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NetworkX
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<li><a class="reference internal" href="#">Drawing</a><ul>
<li><a class="reference internal" href="#module-networkx.drawing.nx_pylab">Matplotlib</a><ul>
<li><a class="reference internal" href="#see-also">See Also</a></li>
</ul>
</li>
<li><a class="reference internal" href="#module-networkx.drawing.nx_agraph">Graphviz AGraph (dot)</a><ul>
<li><a class="reference internal" href="#examples">Examples</a></li>
<li><a class="reference internal" href="#id2">See Also</a></li>
</ul>
</li>
<li><a class="reference internal" href="#module-networkx.drawing.nx_pydot">Graphviz with pydot</a><ul>
<li><a class="reference internal" href="#id3">See Also</a></li>
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<li><a class="reference internal" href="#module-networkx.drawing.layout">Graph Layout</a><ul>
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<div class="section" id="drawing">
<span id="id1"></span><h1>Drawing<a class="headerlink" href="#drawing" title="Permalink to this headline">¶</a></h1>
<div class="section" id="module-networkx.drawing.nx_pylab">
<span id="matplotlib"></span><h2>Matplotlib<a class="headerlink" href="#module-networkx.drawing.nx_pylab" title="Permalink to this headline">¶</a></h2>
<p>Draw networks with matplotlib.</p>
<div class="section" id="see-also">
<h3>See Also<a class="headerlink" href="#see-also" title="Permalink to this headline">¶</a></h3>
<p>matplotlib: <a class="reference external" href="http://matplotlib.sourceforge.net/">http://matplotlib.sourceforge.net/</a></p>
<p>pygraphviz: <a class="reference external" href="http://networkx.lanl.gov/pygraphviz/">http://networkx.lanl.gov/pygraphviz/</a></p>
</div>
<table border="1" class="longtable docutils">
<colgroup>
<col width="10%" />
<col width="90%" />
</colgroup>
<tbody valign="top">
<tr class="row-odd"><td><a class="reference internal" href="generated/networkx.drawing.nx_pylab.draw.html#networkx.drawing.nx_pylab.draw" title="networkx.drawing.nx_pylab.draw"><tt class="xref py py-obj docutils literal"><span class="pre">draw</span></tt></a>(G[, pos, ax, hold])</td>
<td>Draw the graph G with Matplotlib.</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="generated/networkx.drawing.nx_pylab.draw_networkx.html#networkx.drawing.nx_pylab.draw_networkx" title="networkx.drawing.nx_pylab.draw_networkx"><tt class="xref py py-obj docutils literal"><span class="pre">draw_networkx</span></tt></a>(G[, pos, with_labels])</td>
<td>Draw the graph G using Matplotlib.</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="generated/networkx.drawing.nx_pylab.draw_networkx_nodes.html#networkx.drawing.nx_pylab.draw_networkx_nodes" title="networkx.drawing.nx_pylab.draw_networkx_nodes"><tt class="xref py py-obj docutils literal"><span class="pre">draw_networkx_nodes</span></tt></a>(G, pos[, nodelist, ...])</td>
<td>Draw the nodes of the graph G.</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="generated/networkx.drawing.nx_pylab.draw_networkx_edges.html#networkx.drawing.nx_pylab.draw_networkx_edges" title="networkx.drawing.nx_pylab.draw_networkx_edges"><tt class="xref py py-obj docutils literal"><span class="pre">draw_networkx_edges</span></tt></a>(G, pos[, edgelist, ...])</td>
<td>Draw the edges of the graph G.</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="generated/networkx.drawing.nx_pylab.draw_networkx_labels.html#networkx.drawing.nx_pylab.draw_networkx_labels" title="networkx.drawing.nx_pylab.draw_networkx_labels"><tt class="xref py py-obj docutils literal"><span class="pre">draw_networkx_labels</span></tt></a>(G, pos[, labels, ...])</td>
<td>Draw node labels on the graph G.</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="generated/networkx.drawing.nx_pylab.draw_networkx_edge_labels.html#networkx.drawing.nx_pylab.draw_networkx_edge_labels" title="networkx.drawing.nx_pylab.draw_networkx_edge_labels"><tt class="xref py py-obj docutils literal"><span class="pre">draw_networkx_edge_labels</span></tt></a>(G, pos[, ...])</td>
<td>Draw edge labels.</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="generated/networkx.drawing.nx_pylab.draw_circular.html#networkx.drawing.nx_pylab.draw_circular" title="networkx.drawing.nx_pylab.draw_circular"><tt class="xref py py-obj docutils literal"><span class="pre">draw_circular</span></tt></a>(G, **kwargs)</td>
<td>Draw the graph G with a circular layout.</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="generated/networkx.drawing.nx_pylab.draw_random.html#networkx.drawing.nx_pylab.draw_random" title="networkx.drawing.nx_pylab.draw_random"><tt class="xref py py-obj docutils literal"><span class="pre">draw_random</span></tt></a>(G, **kwargs)</td>
<td>Draw the graph G with a random layout.</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="generated/networkx.drawing.nx_pylab.draw_spectral.html#networkx.drawing.nx_pylab.draw_spectral" title="networkx.drawing.nx_pylab.draw_spectral"><tt class="xref py py-obj docutils literal"><span class="pre">draw_spectral</span></tt></a>(G, **kwargs)</td>
<td>Draw the graph G with a spectral layout.</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="generated/networkx.drawing.nx_pylab.draw_spring.html#networkx.drawing.nx_pylab.draw_spring" title="networkx.drawing.nx_pylab.draw_spring"><tt class="xref py py-obj docutils literal"><span class="pre">draw_spring</span></tt></a>(G, **kwargs)</td>
<td>Draw the graph G with a spring layout.</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="generated/networkx.drawing.nx_pylab.draw_shell.html#networkx.drawing.nx_pylab.draw_shell" title="networkx.drawing.nx_pylab.draw_shell"><tt class="xref py py-obj docutils literal"><span class="pre">draw_shell</span></tt></a>(G, **kwargs)</td>
<td>Draw networkx graph with shell layout.</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="generated/networkx.drawing.nx_pylab.draw_graphviz.html#networkx.drawing.nx_pylab.draw_graphviz" title="networkx.drawing.nx_pylab.draw_graphviz"><tt class="xref py py-obj docutils literal"><span class="pre">draw_graphviz</span></tt></a>(G[, prog])</td>
<td>Draw networkx graph with graphviz layout.</td>
</tr>
</tbody>
</table>
</div>
<div class="section" id="module-networkx.drawing.nx_agraph">
<span id="graphviz-agraph-dot"></span><h2>Graphviz AGraph (dot)<a class="headerlink" href="#module-networkx.drawing.nx_agraph" title="Permalink to this headline">¶</a></h2>
<p>Interface to pygraphviz AGraph class.</p>
<div class="section" id="examples">
<h3>Examples<a class="headerlink" href="#examples" title="Permalink to this headline">¶</a></h3>
<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">complete_graph</span><span class="p">(</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_agraph</span><span class="p">(</span><span class="n">G</span><span class="p">)</span>
<span class="gp">>>> </span><span class="n">H</span><span class="o">=</span><span class="n">nx</span><span class="o">.</span><span class="n">from_agraph</span><span class="p">(</span><span class="n">A</span><span class="p">)</span>
</pre></div>
</div>
</div>
<div class="section" id="id2">
<h3>See Also<a class="headerlink" href="#id2" title="Permalink to this headline">¶</a></h3>
<p>Pygraphviz: <a class="reference external" href="http://networkx.lanl.gov/pygraphviz">http://networkx.lanl.gov/pygraphviz</a></p>
</div>
<table border="1" class="longtable docutils">
<colgroup>
<col width="10%" />
<col width="90%" />
</colgroup>
<tbody valign="top">
<tr class="row-odd"><td><a class="reference internal" href="generated/networkx.drawing.nx_agraph.from_agraph.html#networkx.drawing.nx_agraph.from_agraph" title="networkx.drawing.nx_agraph.from_agraph"><tt class="xref py py-obj docutils literal"><span class="pre">from_agraph</span></tt></a>(A[, create_using])</td>
<td>Return a NetworkX Graph or DiGraph from a PyGraphviz graph.</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="generated/networkx.drawing.nx_agraph.to_agraph.html#networkx.drawing.nx_agraph.to_agraph" title="networkx.drawing.nx_agraph.to_agraph"><tt class="xref py py-obj docutils literal"><span class="pre">to_agraph</span></tt></a>(N)</td>
<td>Return a pygraphviz graph from a NetworkX graph N.</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="generated/networkx.drawing.nx_agraph.write_dot.html#networkx.drawing.nx_agraph.write_dot" title="networkx.drawing.nx_agraph.write_dot"><tt class="xref py py-obj docutils literal"><span class="pre">write_dot</span></tt></a>(G, path)</td>
<td>Write NetworkX graph G to Graphviz dot format on path.</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="generated/networkx.drawing.nx_agraph.read_dot.html#networkx.drawing.nx_agraph.read_dot" title="networkx.drawing.nx_agraph.read_dot"><tt class="xref py py-obj docutils literal"><span class="pre">read_dot</span></tt></a>(path)</td>
<td>Return a NetworkX graph from a dot file on path.</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="generated/networkx.drawing.nx_agraph.graphviz_layout.html#networkx.drawing.nx_agraph.graphviz_layout" title="networkx.drawing.nx_agraph.graphviz_layout"><tt class="xref py py-obj docutils literal"><span class="pre">graphviz_layout</span></tt></a>(G[, prog, root, args])</td>
<td>Create node positions for G using Graphviz.</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="generated/networkx.drawing.nx_agraph.pygraphviz_layout.html#networkx.drawing.nx_agraph.pygraphviz_layout" title="networkx.drawing.nx_agraph.pygraphviz_layout"><tt class="xref py py-obj docutils literal"><span class="pre">pygraphviz_layout</span></tt></a>(G[, prog, root, args])</td>
<td>Create node positions for G using Graphviz.</td>
</tr>
</tbody>
</table>
</div>
<div class="section" id="module-networkx.drawing.nx_pydot">
<span id="graphviz-with-pydot"></span><h2>Graphviz with pydot<a class="headerlink" href="#module-networkx.drawing.nx_pydot" title="Permalink to this headline">¶</a></h2>
<p>Import and export NetworkX graphs in Graphviz dot format using pydot.</p>
<p>Either this module or nx_pygraphviz can be used to interface with graphviz.</p>
<div class="section" id="id3">
<h3>See Also<a class="headerlink" href="#id3" title="Permalink to this headline">¶</a></h3>
<p>Pydot: <a class="reference external" href="http://code.google.com/p/pydot/">http://code.google.com/p/pydot/</a>
Graphviz: <a class="reference external" href="http://www.research.att.com/sw/tools/graphviz/">http://www.research.att.com/sw/tools/graphviz/</a>
DOT Language: <a class="reference external" href="http://www.graphviz.org/doc/info/lang.html">http://www.graphviz.org/doc/info/lang.html</a></p>
</div>
<table border="1" class="longtable docutils">
<colgroup>
<col width="10%" />
<col width="90%" />
</colgroup>
<tbody valign="top">
<tr class="row-odd"><td><a class="reference internal" href="generated/networkx.drawing.nx_pydot.from_pydot.html#networkx.drawing.nx_pydot.from_pydot" title="networkx.drawing.nx_pydot.from_pydot"><tt class="xref py py-obj docutils literal"><span class="pre">from_pydot</span></tt></a>(P)</td>
<td>Return a NetworkX graph from a Pydot graph.</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="generated/networkx.drawing.nx_pydot.to_pydot.html#networkx.drawing.nx_pydot.to_pydot" title="networkx.drawing.nx_pydot.to_pydot"><tt class="xref py py-obj docutils literal"><span class="pre">to_pydot</span></tt></a>(N[, strict])</td>
<td>Return a pydot graph from a NetworkX graph N.</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="generated/networkx.drawing.nx_pydot.write_dot.html#networkx.drawing.nx_pydot.write_dot" title="networkx.drawing.nx_pydot.write_dot"><tt class="xref py py-obj docutils literal"><span class="pre">write_dot</span></tt></a>(G, path)</td>
<td>Write NetworkX graph G to Graphviz dot format on path.</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="generated/networkx.drawing.nx_pydot.read_dot.html#networkx.drawing.nx_pydot.read_dot" title="networkx.drawing.nx_pydot.read_dot"><tt class="xref py py-obj docutils literal"><span class="pre">read_dot</span></tt></a>(path)</td>
<td>Return a NetworkX MultiGraph or MultiDiGraph from a dot file on path.</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="generated/networkx.drawing.nx_pydot.graphviz_layout.html#networkx.drawing.nx_pydot.graphviz_layout" title="networkx.drawing.nx_pydot.graphviz_layout"><tt class="xref py py-obj docutils literal"><span class="pre">graphviz_layout</span></tt></a>(G[, prog, root])</td>
<td>Create node positions using Pydot and Graphviz.</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="generated/networkx.drawing.nx_pydot.pydot_layout.html#networkx.drawing.nx_pydot.pydot_layout" title="networkx.drawing.nx_pydot.pydot_layout"><tt class="xref py py-obj docutils literal"><span class="pre">pydot_layout</span></tt></a>(G[, prog, root])</td>
<td>Create node positions using Pydot and Graphviz.</td>
</tr>
</tbody>
</table>
</div>
<div class="section" id="module-networkx.drawing.layout">
<span id="graph-layout"></span><h2>Graph Layout<a class="headerlink" href="#module-networkx.drawing.layout" title="Permalink to this headline">¶</a></h2>
<p>Node positioning algorithms for graph drawing.</p>
<table border="1" class="longtable docutils">
<colgroup>
<col width="10%" />
<col width="90%" />
</colgroup>
<tbody valign="top">
<tr class="row-odd"><td><a class="reference internal" href="generated/networkx.drawing.layout.circular_layout.html#networkx.drawing.layout.circular_layout" title="networkx.drawing.layout.circular_layout"><tt class="xref py py-obj docutils literal"><span class="pre">circular_layout</span></tt></a>(G[, dim, scale])</td>
<td>Position nodes on a circle.</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="generated/networkx.drawing.layout.random_layout.html#networkx.drawing.layout.random_layout" title="networkx.drawing.layout.random_layout"><tt class="xref py py-obj docutils literal"><span class="pre">random_layout</span></tt></a>(G[, dim])</td>
<td>Position nodes uniformly at random in the unit square.</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="generated/networkx.drawing.layout.shell_layout.html#networkx.drawing.layout.shell_layout" title="networkx.drawing.layout.shell_layout"><tt class="xref py py-obj docutils literal"><span class="pre">shell_layout</span></tt></a>(G[, nlist, dim, scale])</td>
<td>Position nodes in concentric circles.</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="generated/networkx.drawing.layout.spring_layout.html#networkx.drawing.layout.spring_layout" title="networkx.drawing.layout.spring_layout"><tt class="xref py py-obj docutils literal"><span class="pre">spring_layout</span></tt></a>(G[, dim, k, pos, fixed, ...])</td>
<td>Position nodes using Fruchterman-Reingold force-directed algorithm.</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="generated/networkx.drawing.layout.spectral_layout.html#networkx.drawing.layout.spectral_layout" title="networkx.drawing.layout.spectral_layout"><tt class="xref py py-obj docutils literal"><span class="pre">spectral_layout</span></tt></a>(G[, dim, weight, scale])</td>
<td>Position nodes using the eigenvectors of the graph Laplacian.</td>
</tr>
</tbody>
</table>
</div>
</div>
</div>
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