plot_12_multicomponent_graphs.rst

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Note

Click here <sphx_glr_download_sphinx_gallery_output_plot_12_multicomponent_graphs.py> to download the full example code

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Graphs with Multiple Components

For each component, netgraph computes the node and edge layouts separately, and then arranges the individual components with respect to each other using rectangle packing.

/sphinx_gallery_output/images/sphx_glr_plot_12_multicomponent_graphs_001.png

import matplotlib.pyplot as plt

from itertools import combinations
from netgraph import Graph

edge_list = []

# add 15 2-node components
edge_list.extend([(ii, ii+1) for ii in range(30, 60, 2)])

# add 10 3-node components
for ii in range(60, 90, 3):
    edge_list.extend([(ii, ii+1), (ii, ii+2), (ii+1, ii+2)])

# add a couple of larger components
n = 90
for ii in [10, 20, 30]:
    edge_list.extend(list(combinations(range(n, n+ii), 2)))
    n += ii

nodes = list(range(n))
Graph(edge_list, nodes=nodes, node_size=1, edge_width=0.3, node_layout='circular')
plt.show()

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Total running time of the script: ( 0 minutes 1.262 seconds)

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