problem in plotting a network using `show`

Hello @marcomusy

I’ve the following to plot a dataset using show

    data1 = dict(zip(time, df1.values.tolist()))

    data2 = dict(zip(time, df1.values.tolist()))



    ts = [0, 1, 2, 3]

    for t in ts:

        pts.cmap('Blues', data1[t], vmin=0, vmax=234)

        if t == 0.0:

            pts.addScalarBar()

            show(pts, edg, axes=True, bg='black', at=ts.index(t), shape=(2, len(ts)))

        else:

            show(pts, edg, axes=True, bg='black', at=ts.index(t))

        pts.cmap('Blues', data2[t], vmin=0, vmax=234)

        if t != ts[-1]:

            show(pts, edg, axes=True, bg='black', at=ts.index(t)+4)

        else:

            show(pts, edg, axes=True, bg='black', at=ts.index(t)+4, interactive=True)

The problem is, in the 2 x 4 grid that is created, the pts data is not appended to the frame while looping through t instead it is overwritten. i.e in the first row: the plot added at =0 in the first iteration is overwritten by the plot generated for displaying at=2 in the second iteration. The same problem occurs in the second row. The plot added at =1 in the first iteration is overwritten by the plot generated for displaying at=3 in the second iteration.

Suggestions on how to avoid overwriting will be helpful.

[marcomusy]

This is one possibility, removing the separator frames:

import networkx as nx
from vedo import *

settings.showRendererFrame = False # disable grey frame

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 = [(nxpts[i], nxpts[j]) for i, j in G.edges()]

pts = Points(nxpts, r=12)
edg = Lines(nx_lines).lw(2)

# node values
values = [[1, 0, 0, 0, 0, 0, 0, 0, 0, 0],
          [30, 80, 10, 79, 70, 60, 75, 78, 65, 10],
          [1, .30, .10, .79, .70, .60, .75, .78, .65, .90],
          ]
times = [0.0, 0.1, 0.2]  # in seconds

vmin, vmax = min(utils.flatten(values)), max(utils.flatten(values))
x0,x1, y0,y1, z0,z1 = pts.bounds()

plt = Plotter(shape=(1,3), axes=True, bg='black')

for i,t in enumerate(times):
    pts1 = pts.clone().cmap('Blues', values[i], vmin=vmin, vmax=vmax)
    txt = Text('time = '+str(t)+'s', font='BPmonoItalics',
               justify='bottom-center', s=.07, c='lb')
    txt.pos((x0+x1)/2, y1+0.2)
    box = txt.box(pad=0.1).scale([1,1,0])
    if i==2:
        pts1.addScalarBar3D(c='w')
        pts1.scalarbar.scale(1.2)
    plt.show(pts1, edg, txt, box, at=i)

interactive()

I updated the code with a better solution probably!

[marcomusy]

that’s correct… because you are plotting the same object onto different renderers but then you change its colors… Make a clone copy instead, and change the copy: pts2 = pts.clone().cmap('Blues', values[1])