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networkx
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- nxviz version: 0.6.1
- Python version: 3.7.4
- Operating System: Linux
Description
The following example doesn't work with networkx 2.4 :
from random import choice
import matplotlib.pyplot as plt
import networkx as nx
from nxviz.plots import CircosPlot
G = nx.barbell_graph(m1=10, m2=3)
for n, d in G.nodes(data=True):
G.nodes[n]["class"] = choice(["a", "b", "c",
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Sep 4, 2018 - Jupyter Notebook
Similarly to DeepGraph.plot_2d and DeepGraph.plot_2d_generator, implement plot_3d and plot_3d_generator
This is not really a bug but rather a workaround that I wanted to make available for others (and maybe you want to integrate it at some point into the library itself).
I wanted to color all nodes by a node property. It is possible to achieve this by using the coloring by `group'. One only has to assign each node an html color according to its value.
Below I give a minimal example that colors
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Describe the bug
In StellarGraph, some algorithms are in demo notebooks or scripts, without being listed in our main documentation. This could mean that a user reading our docs thinks they're not supported in StellarGraph.