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    <p>Poking around a bit in the <code>draw_networkx_labels</code> source, it does indeed come down to a call to <code>ax.text</code> (where ax is a matplotlib axis). So that means you should have as much configurability as you get with any normal MPL text (<a href="http://matplotlib.org/api/axes_api.html#matplotlib.axes.Axes.text" rel="nofollow noreferrer">docs</a>).</p> <h2>Font names vs font families</h2> <p>As far as I can tell, a font name is an instance of a font family; though because the generic families (eg 'serif') are often given as settings to font family variables. <a href="http://www.w3schools.com/css/css_font.asp" rel="nofollow noreferrer">http://www.w3schools.com/css/css_font.asp</a></p> <p>This has confused me for a while, so please correct me if I'm wrong here.</p> <h1>Finding the full list of fonts</h1> <p>So if you use the technique from <a href="https://stackoverflow.com/a/18821968/1643946">here</a>:</p> <pre><code>avail_font_names = [f.name for f in matplotlib.font_manager.fontManager.ttflist] </code></pre> <p>you get all the (specific) options. Don't know where you find a fuller list than the <a href="http://matplotlib.org/examples/pylab_examples/fonts_demo.html" rel="nofollow noreferrer">font demo</a> for generics.</p> <p>this post shows a method for <a href="https://stackoverflow.com/questions/18962063/matplotlib-setting-title-bold-while-using-times-new-roman/18962217#18962217">searching by name</a>:</p> <pre><code>[i for i in matplotlib.font_manager.findSystemFonts(fontpaths=None, fontext='ttf') if 'times' in i.lower()] </code></pre> <h1>Using more than one font for labels in your graph</h1> <p>From the <code>avail_font_names</code> list above, I picked out three for this example; you might have to substitute some of them depending on what you have installed.</p> <pre><code>import matplotlib.pyplot as plt import networkx as nx font_names = ['Sawasdee', 'Gentium Book Basic', 'FreeMono', ] family_names = ['sans-serif', 'serif', 'fantasy', 'monospace'] # Make a graph G = nx.generators.florentine_families_graph() # need some positions for the nodes, so lay it out pos = nx.spring_layout(G) # create some maps for some subgraphs (not elegant way) subgraph_members = [G.nodes()[i:i+3] for i in xrange(0, len(G.nodes()), 3)] plt.figure(1) nx.draw_networkx_nodes(G, pos) for i, nodes in enumerate(subgraph_members): f = font_names[(i % 3)] #f = family_names[(i % 4)] # extract the subgraph g = G.subgraph(subgraph_members[i]) # draw on the labels with different fonts nx.draw_networkx_labels(g, pos, font_family=f, font_size=40) # show the edges too nx.draw_networkx_edges(G, pos) plt.show() </code></pre> <p><img src="https://i.stack.imgur.com/QplAN.png" alt="example figure showing different font labelling"></p> <h2>Resolving the 'Falling back to ...' warnings</h2> <p>Note: if you get errors when of the form "UserWarning: findfont: Font family ['sans-serif'] not found. Falling back to ...", when trying to use fonts even if they do exist, this <a href="http://matplotlib.1069221.n5.nabble.com/Fonts-not-found-td12936.html" rel="nofollow noreferrer">nabble dialog</a> suggests clearing the font cache: (<em>yup, this will irretrievably remove a file</em> but it is auto-generated.)</p> <pre><code>rm ~/.matplotlib/fontList.cache </code></pre>
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    1. POAvailable "font-family" entry for draw_networkx_labels
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    1. POAvailable "font-family" entry for draw_networkx_labels
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    1. COAny comment is too much ! Thank you ! Thank you !
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    2. COYou happened to ask on the day where I also needed to resolve a very similar font problem ;) Glad it is of use.
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    3. COThe right question to the right moment :).
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