def matrix_plotting(self, G):
# Calculate the largest connected component subgraph: largest_ccs
largest_ccs = sorted(nx.connected_component_subgraphs(G),
key=lambda x: len(x))[-1]
# Create the customized MatrixPlot object: h
h = MatrixPlot(graph=largest_ccs)
# Draw the MatrixPlot to the screen
h.draw()
plt.show()
print(len(g.nodes()))
################################# Task 1 (MatrixPlot)
# Import necessary modules
from nxviz import MatrixPlot
import matplotlib.pyplot as plt
# Calculate the largest connected component subgraph: largest_ccs
largest_ccs = sorted(nx.connected_component_subgraphs(G),
key=lambda x: len(x))[-1]
# Create the customized MatrixPlot object: h
h = MatrixPlot(graph=largest_ccs, node_grouping='grouping')
# Draw the MatrixPlot to the screen
h.draw()
plt.show()
################################## Task 2 (ArcPlot)
# Import necessary modules
from nxviz.plots import ArcPlot
import matplotlib.pyplot as plt
# Iterate over all the nodes in G, including the metadata
for n, d in G.nodes(data=True):
# Calculate the degree of each node: G.node[n]['degree']
G.node[n]['degree'] = nx.degree(G, n)
# Create the ArcPlot object: a
a = ArcPlot(graph=G, node_order='degree')
from collections import Counter
mf_count = Counter([gender[i - 1] for i in g1.nodes()])
def test_answer(mf_counts):
assert mf_counts['female'] == 17
assert mf_counts['male'] == 12
test_answer(mf_count)
from nxviz import MatrixPlot
m = MatrixPlot(g)
m.draw()
plt.show()
from nxviz import ArcPlot
a = ArcPlot(g)
a.draw()
from nxviz import CircosPlot
c = CircosPlot(g)
c.draw()
plt.show()
# plt.savefig('images/seventh.png', dpi=300)
#%% hiveplot
