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authorJarrod Millman <jarrod.millman@gmail.com>2017-09-11 15:48:32 -0700
committerGitHub <noreply@github.com>2017-09-11 15:48:32 -0700
commitbe23fa0e422b51f4526828cb19b8105c89e5dcbb (patch)
treec11b94af01c1329f6dbe4f69b68b1179862bb9df /doc/reference/drawing.rst
parentae5acd8ad4fdab34a6b92a381a6ddc78c63a99c0 (diff)
downloadnetworkx-be23fa0e422b51f4526828cb19b8105c89e5dcbb.tar.gz
Fix links (#2663)
* Fix links * Comply with pep8
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diff --git a/doc/reference/drawing.rst b/doc/reference/drawing.rst
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--- a/doc/reference/drawing.rst
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@@ -13,10 +13,10 @@ Proper graph visualization is hard, and we highly recommend that people
visualize their graphs with tools dedicated to that task. Notable examples of
dedicated and fully-featured graph visualization tools are
`Cytoscape <http://www.cytoscape.org/>`_,
-`Gephi <http://gephi.github.io/>`_,
+`Gephi <https://gephi.org/>`_,
`Graphviz <http://www.graphviz.org/>`_ and, for
`LaTeX <http://www.latex-project.org/>`_ typesetting,
-`PGF/TikZ <http://sourceforge.net/projects/pgf/>`_.
+`PGF/TikZ <https://sourceforge.net/projects/pgf/>`_.
To use these and other such tools, you should export your NetworkX graph into
a format that can be read by those tools. For example, Cytoscape can read the
GraphML format, and so, ``networkx.write_graphml(G)`` might be an appropriate