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 a Barabasi-Albert network by node degree.
The result is this image (where nodes are also sized proportionally to their degree). I choose the RGB color to be (X,0,20), such that it is from dark blue to red but this can be adapted as needed. Probably one could also automatically use an existing colormap.
G = nx.barabasi_albert_graph(100,1) # construct a BA graph
deg = [val for (node, val) in G.degree()] # compute its degree
# prepare
degreeColor =[]
valueToPlot = np.log10(deg)
# we rescale the colours to be in the RGB format (0 to 255 for three colours)
valueToPlotRescaled = 255*(valueToPlot - np.min(valueToPlot))/np.max(valueToPlot)
for i in valueToPlotRescaled:
color = '#%02x%02x%02x' % (int(i), 0, 50) # here we use (X,0,50) as RGB with X beign the log(degree) for eahc node
degreeColor.append(color)
# zip it up into a dictionary and set it as node attribute
dictionaryColor = dict(zip(list(G.nodes), degreeColor))
nx.set_node_attributes(G, dictionaryColor,"group")
# The actual illustration
network, config = wulf.visualize(G, plot_in_cell_below=False)
fig, ax = wulf.draw_netwulf(network)
plt.savefig("BAnetworkWithDegreeColoured.pdf")
Let me know if there is an easier way to achieve this; anyways, I thought that could be useful for other users.
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 a Barabasi-Albert network by node degree.
The result is this image (where nodes are also sized proportionally to their degree). I choose the RGB color to be (X,0,20), such that it is from dark blue to red but this can be adapted as needed. Probably one could also automatically use an existing colormap.
Let me know if there is an easier way to achieve this; anyways, I thought that could be useful for other users.