I am wondering whether it is possible to plot a vertical bar over a 2-dimensional representation of a graph. Say I have a tree and I want to associate with any node a "potential" which can be represented as a vertical bar.
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NetworkX can do that using the matplotlib drawing tools because the result is a matplotlib figure on which you can use matplotlib to draw anything else you'd like on top of the networkx drawing of the graph.
nx.draw(G)
mpl.plot([xpt, xpt], [ymin, ymax], '--b')
mpl.show()

dschult
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Thanks for the matplotlib hint. I understood how to do this because of that. See my own answer – dapias Feb 16 '21 at 14:29
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This is a minimal example which does what I was looking for (in Python):
import networkx as nx
import random
from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt
import numpy as np
degree = 3
N = 10
g = nx.random_regular_graph(degree, N)
fig = plt.figure(figsize=(10,7))
ax = Axes3D(fig)
for i,j in enumerate(g.edges()):
x = np.array((positions[j[0]][0], positions[j[1]][0]))
y = np.array((positions[j[0]][1], positions[j[1]][1]))
ax.plot(x, y, c='black', alpha=0.5)
for key, value in positions.items():
xi = value[0]
yi = value[1]
# Scatter plot
ax.scatter(xi, yi, c= 'red')
ax.bar3d(xi, yi, 0, 0.01, 0, random.random(), shade=False)
ax.set_axis_off()
It generates this kind of plot, which can be useful to represent additional information on a graph

dapias
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