setting title and color bar, directed graph

Hi @marcomusy

This is a follow up to my question on SO. I’d like to ask for clarification on the following,

1. I’d like to know how to assign symbols in title of a scalarbar. Latex formatting doesn’t work e.g. nx_pts.pointColors(vals, cmap='YlGn', vmin=min(vals), vmax=max(vals)).addScalarBar(title='$\mu$')

2. How can we set titles for plot? I tried, show(nx_pts, nx_edg, nx_pts.labels('id'), interactive=True, bg='black', title='plot') this doesn’t display the title.

3. Is it possible to create discontinuous color bars? For example, while trying to assign the following set of values that contains an outlier vals = [100, .80, .10, .79, .70, .60, .75, .78, .65, .90] all entries, except 100, are assigned the same color.

Please find the complete code below,

import networkx as nx
from vedo import *

G = nx.gnm_random_graph(n=10, m=15, seed=1)
nxpos = nx.spring_layout(G)
nxpts = [nxpos[pt] for pt in sorted(nxpos)]

nx_lines = []
for i, j in G.edges():
    p1 = nxpos[i].tolist() + [0]  # add z-coord
    p2 = nxpos[j].tolist() + [0]
    nx_lines.append([p1, p2])

nx_pts = Points(nxpts, r=12)
nx_edg = Lines(nx_lines).lw(2)

# node values
vals = [100, .80, .10, .79, .70, .60, .75, .78, .65, .90]
nx_pts.pointColors(vals, cmap='YlGn', vmin=min(vals), vmax=max(vals)).addScalarBar(title='$\mu$')
show(nx_pts, nx_edg, nx_pts.labels('id'), interactive=True, bg='black', title='plot')

1. How to convert the above graph, G, to a directed graph? From the suggestion offered on SO, I could use g = DirectedGraph(layout=‘fast2d’)

I am not sure how to add edges ed_ls = [(0, 6), (0, 7), (0, 5), (8, 0), (0, 4), (1, 4), (1, 7), (1, 9), (2, 9), (3, 6), (3, 4), (8, 3), (3, 5), (3, 7), (6, 9)] for each item in ed_ls, e.g. (0,6) the edge is directed from 0 to 6. Thanks a lot

[FedeClaudi]

Works on windows!

[DeepaMahm]

@marcomusy The update works! And the interpolation looks great!