Visual styling ¶
Note
Click here to download the full example code
Visual styling¶
This example shows how to change the visual style of network plots.
import igraph as ig
import matplotlib.pyplot as plt
import random
To configure the visual style of a plot, we can create a dictionary with the various setting we want to customize:
visual_style = {
"edge_width": 0.3,
"vertex_size": 1.5,
"palette": "heat",
"layout": "fruchterman_reingold"
}
Let’s see it in action! First, we generate four random graphs:
random.seed(1)
gs = [ig.Graph.Barabasi(n=30, m=1) for i in range(4)]
Then, we calculate a color colors between 0-255 for all nodes, e.g. using betweenness just as an example:
betweenness = [g.betweenness() for g in gs]
colors = [[int(i * 255 / max(btw)) for i in btw] for btw in betweenness]
Finally, we can plot the graphs using the same visual style for all graphs:
fig, axs = plt.subplots(2, 2)
axs = axs.ravel()
for g, color, ax in zip(gs, colors, axs):
ig.plot(g, target=ax, vertex_color=color, **visual_style)
plt.show()
Note
If you would like to set global defaults, for example, always using the Matplotlib plotting backend, or using a particular color palette by default, you can use igraph’s configuration instance :class:`igraph.configuration.Configuration. A quick example on how to use it can be found here: Configuration Instance.
Total running time of the script: ( 0 minutes 0.079 seconds)