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Note

This documents the development version of NetworkX. Documentation for the current release can be found here.

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Sampson

Sampson’s monastery data.

Shows how to read data from a zip file and plot multiple frames.

The data file can be found at:

samplike1, samplike2, samplike3, samplike1,2,3
import zipfile
from io import BytesIO as StringIO

import matplotlib.pyplot as plt
import networkx as nx

with zipfile.ZipFile("sampson_data.zip") as zf:
    e1 = StringIO(zf.read("samplike1.txt"))
    e2 = StringIO(zf.read("samplike2.txt"))
    e3 = StringIO(zf.read("samplike3.txt"))

G1 = nx.read_edgelist(e1, delimiter="\t")
G2 = nx.read_edgelist(e2, delimiter="\t")
G3 = nx.read_edgelist(e3, delimiter="\t")
pos = nx.spring_layout(G3, iterations=100)
plt.clf()

plt.subplot(221)
plt.title("samplike1")
nx.draw(G1, pos, node_size=50, with_labels=False)
plt.subplot(222)
plt.title("samplike2")
nx.draw(G2, pos, node_size=50, with_labels=False)
plt.subplot(223)
plt.title("samplike3")
nx.draw(G3, pos, node_size=50, with_labels=False)
plt.subplot(224)
plt.title("samplike1,2,3")
nx.draw(G3, pos, edgelist=list(G3.edges()), node_size=50, with_labels=False)
nx.draw_networkx_edges(G1, pos, alpha=0.25)
nx.draw_networkx_edges(G2, pos, alpha=0.25)
plt.show()

Total running time of the script: ( 0 minutes 0.278 seconds)

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