Closed fishbacp closed 2 years ago
I apologize for posting this here, as it is not a bug or issue but instead a question regarding the adjustment of node label font sizes, one that I doubt would yield a response on StackOverflow.
That's totally fine. The fact that even after reading the documentation you are unsure what to do means that the documentation needs more work.
Basically, node_label_fontdict
is dictionary with key-value pairs that are passed through to matplotlib.text.Text
.
The following command sets the fontsize to 20 pts:
Graph(nx.complete_graph(7), node_labels=True, node_label_fontdict=dict(size=20))
There are a few more examples here.
Also, thanks to your post I just learnt that fontsize
is now a valid keyword for matplotlib Text
objects. It used to be just size
, now both are supported in matplotlib. However, looking at my code, I can see at least one set of circumstances in which a font size specification via fontsize
would not be correctly handled. So apologies if you tried using that keyword instead of size
and you got an error. That is a proper bug.
Thanks so much. This is great!
I apologize for posting this here, as it is not a bug or issue but instead a question regarding the adjustment of node label font sizes, one that I doubt would yield a response on StackOverflow.
At https://netgraph.readthedocs.io/en/latest/graph_classes.html
it states that
node_label_fontdict
consists of keyword arguments passed to matplotlib.text.Text. I'm looking at matplotlib.text.Text right now and see the familiar keyword argumentfontsize
. It's not clear what an example dictionary,node_label_fontdict
would look like if I merely wanted to change my label font size.BTW, this package is really nice. I plan to use it for community detection in the context of EEG signal analysis.